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Wei XW, Lu C, Zhang YC, Fan X, Xu CR, Chen ZH, Wang F, Yang XR, Deng JY, Yang MY, Gou Q, Mei SQ, Luo WC, Zhong RW, Zhong WZ, Yang JJ, Zhang XC, Tu HY, Wu YL, Zhou Q. Redox high phenotype mediated by KEAP1/STK11/SMARCA4/NRF2 mutations diminishes tissue-resident memory CD8+ T cells and attenuates the efficacy of immunotherapy in lung adenocarcinoma. Oncoimmunology 2024; 13:2340154. [PMID: 38601319 PMCID: PMC11005803 DOI: 10.1080/2162402x.2024.2340154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024] Open
Abstract
Metabolism reprogramming within the tumor microenvironment (TME) can have a profound impact on immune cells. Identifying the association between metabolic phenotypes and immune cells in lung adenocarcinoma (LUAD) may reveal mechanisms of resistance to immune checkpoint inhibitors (ICIs). Metabolic phenotypes were classified by expression of metabolic genes. Somatic mutations and transcriptomic features were compared across the different metabolic phenotypes. The metabolic phenotype of LUAD is predominantly determined by reductase-oxidative activity and is divided into two categories: redoxhigh LUAD and redoxlow LUAD. Genetically, redoxhigh LUAD is mainly driven by mutations in KEAP1, STK11, NRF2, or SMARCA4. These mutations are more prevalent in redoxhigh LUAD (72.5%) compared to redoxlow LUAD (17.4%), whereas EGFR mutations are more common in redoxlow LUAD (19.0% vs. 0.7%). Single-cell RNA profiling of pre-treatment and post-treatment samples from patients receiving neoadjuvant chemoimmunotherapy revealed that tissue-resident memory CD8+ T cells are responders to ICIs. However, these cells are significantly reduced in redoxhigh LUAD. The redoxhigh phenotype is primarily attributed to tumor cells and is positively associated with mTORC1 signaling. LUAD with the redoxhigh phenotype demonstrates a lower response rate (39.1% vs. 70.8%, p = 0.001), shorter progression-free survival (3.3 vs. 14.6 months, p = 0.004), and overall survival (12.1 vs. 31.2 months, p = 0.022) when treated with ICIs. The redoxhigh phenotype in LUAD is predominantly driven by mutations in KEAP1, STK11, NRF2, and SMARCA4. This phenotype diminishes the number of tissue-resident memory CD8+ T cells and attenuates the efficacy of ICIs.
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Affiliation(s)
- Xue-Wu Wei
- School of Medicine, South China University of Technology, Guangzhou, China
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chang Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Chen Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue Fan
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhi-Hong Chen
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Fen Wang
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Xiao-Rong Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jia-Yi Deng
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ming-Yi Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Gou
- Department of Interventional Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shi-Qi Mei
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wei-Chi Luo
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ri-Wei Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- School of Medicine, South China University of Technology, Guangzhou, China
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
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Luo WC, Mei SQ, Huang ZJ, Chen ZH, Zhang YC, Yang MY, Liu JQ, Xu JY, Yang XR, Zhong RW, Tang LB, Yin LX, Deng Y, Peng YL, Lu C, Chen BL, Ke DX, Tu HY, Yang JJ, Xu CR, Wu YL, Zhou Q. Correlation of distribution characteristics and dynamic changes of gut microbiota with the efficacy of immunotherapy in EGFR-mutated non-small cell lung cancer. J Transl Med 2024; 22:326. [PMID: 38566102 PMCID: PMC10985957 DOI: 10.1186/s12967-024-05135-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND The effects of gut microbiota and metabolites on the responses to immune checkpoint inhibitors (ICIs) in advanced epidermal growth factor receptor (EGFR) wild-type non-small cell lung cancer (NSCLC) have been studied. However, their effects on EGFR-mutated (EGFR +) NSCLC remain unknown. METHODS We prospectively recorded the clinicopathological characteristics of patients with advanced EGFR + NSCLC and assessed potential associations between the use of antibiotics or probiotics and immunotherapy efficacy. Fecal samples were collected at baseline, early on-treatment, response and progression status and were subjected to metagenomic next-generation sequencing and ultra-high-performance liquid chromatography-mass spectrometry analyses to assess the effects of gut microbiota and metabolites on immunotherapy efficacy. RESULTS The clinical data of 74 advanced EGFR + NSCLC patients were complete and 18 patients' fecal samples were dynamically collected. Patients that used antibiotics had shorter progression-free survival (PFS) (mPFS, 4.8 vs. 6.7 months; P = 0.037); probiotics had no impact on PFS. Two dynamic types of gut microbiota during immunotherapy were identified: one type showed the lowest relative abundance at the response time point, whereas the other type showed the highest abundance at the response time point. Metabolomics revealed significant differences in metabolites distribution between responders and non-responders. Deoxycholic acid, glycerol, and quinolinic acid were enriched in responders, whereas L-citrulline was enriched in non-responders. There was a significant correlation between gut microbiota and metabolites. CONCLUSIONS The use of antibiotics weakens immunotherapy efficacy in patients with advanced EGFR + NSCLC. The distribution characteristics and dynamic changes of gut microbiota and metabolites may indicate the efficacy of immunotherapy in advanced EGFR + NSCLC.
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Affiliation(s)
- Wei-Chi Luo
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Shi-Qi Mei
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Zi-Jian Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Zhi-Hong Chen
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Chen Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Ming-Yi Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Jia-Qi Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Jing-Yan Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Xiao-Rong Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Ri-Wei Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Li-Bo Tang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Lin-Xi Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yu Deng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Ying-Long Peng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Chang Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Bao-Long Chen
- Xiamen Treatgut Biotechnology Co., Ltd, Xiamen, China
| | - Dong-Xian Ke
- Xiamen Treatgut Medical Laboratory Co., Ltd, Xiamen, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
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Lu C, Wei XW, Wang Z, Zhou Z, Liu YT, Zheng D, He Y, Xie ZH, Li Y, Zhang Y, Zhang YC, Huang ZJ, Mei SQ, Liu JQ, Guan XH, Deng Y, Chen ZH, Tu HY, Xu CR, Chen HJ, Zhong WZ, Yang JJ, Zhang XC, Mok TSK, Wu YL, Zhou Q. Allelic Context of EGFR C797X-Mutant Lung Cancer Defines Four Subtypes With Heterogeneous Genomic Landscape and Distinct Clinical Outcomes. J Thorac Oncol 2024; 19:601-612. [PMID: 37981218 DOI: 10.1016/j.jtho.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/18/2023] [Accepted: 11/15/2023] [Indexed: 11/21/2023]
Abstract
INTRODUCTION EGFR C797X (C797S or C797G) mutation is the most frequent on-target mechanism of resistance to osimertinib. The hypothesis that the allelic context of C797X/T790M has implications for treatment is on the basis of sporadic reports and needs validation with larger cohorts. METHODS We identified patients with EGFR C797X-mutant NSCLC from nine centers who progressed on osimertinib, all analyzed in a single laboratory through next-generation sequencing. We analyzed genomic profiles and assessed associations between clinical outcomes and C797X status. RESULTS A total of 365 EGFR C797X-mutant cases were categorized into four subtypes on the basis of allelic context: in cis (75.3%), in trans (6.4%), cis&trans (10.4%), and C797X-only (7.9%). Genomically, the cis&trans subtype displayed the highest frequency of concurrent alterations at osimertinib resistance sites (21.1%), while the in cis subtype had the lowest (8.4%). Clinically, cis&trans patients exhibited the worst progression-free survival (PFS) on both previous (median 7.7 mo) and subsequent treatment (median 1.0 mo) and overall survival (median 3.9 mo). In subsequent treatments, in cis patients exhibited superior PFS with combined brigatinib and cetuximab (median 11.0 mo) compared with other regimens (p = 0.005), while in trans patients exhibited variable outcomes with combined first or second- and third-generation EGFR inhibitor (PFS range: 0.7-8.1 mo, median 2.6 mo). Notably, subtype switching was observed after subsequent treatments, predominantly toward the in cis subtype. CONCLUSIONS Allelic context could define four EGFR C797X-mutant NSCLC subtypes with heterogeneous genetic landscapes and distinct clinical outcomes. Subsequent treatments further complicate the scenario through subtype switching.
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Affiliation(s)
- Chang Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Xue-Wu Wei
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Zhen Zhou
- Shanghai Chest Hosptial, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yu-Tao Liu
- Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Di Zheng
- Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Yong He
- Department of Respiratory Medicine, Daping Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Zhan-Hong Xie
- National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou, People's Republic of China
| | - Yong Li
- Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, People's Republic of China
| | - Yan Zhang
- The Fourth Department of Oncology, People's Hospital of Shijiazhuang City, Shijiazhuang, People's Republic of China
| | - Yi-Chen Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Zi-Jian Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Shi-Qi Mei
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Jia-Qi Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Xu-Hui Guan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Yu Deng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Zhi-Hong Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Tony S K Mok
- State Key Laboratory of Translational Oncology, Department of Clinical Oncology, Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
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Maggie Liu SY, Huang J, Deng JY, Xu CR, Yan HH, Yang MY, Li YS, Ke EE, Zheng MY, Wang Z, Lin JX, Gan B, Zhang XC, Chen HJ, Wang BC, Tu HY, Yang JJ, Zhong WZ, Li Y, Zhou Q, Wu YL. PD-L1 expression guidance on sintilimab versus pembrolizumab with or without platinum-doublet chemotherapy in untreated patients with advanced non-small cell lung cancer (CTONG1901): A phase 2, randomized, controlled trial. Sci Bull (Beijing) 2024; 69:535-543. [PMID: 38185589 DOI: 10.1016/j.scib.2023.12.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/22/2023] [Accepted: 12/25/2023] [Indexed: 01/09/2024]
Abstract
No direct comparison has been performed between different programmed cell death-1 (PD-1) inhibitors for first-line treatment in patients with advanced non-small cell lung cancer (NSCLC). The feasibility of using PD-L1-expression-guided immunotherapy remains unknown. In this open-label, phase 2 study (NCT04252365), patients with advanced NSCLC without EGFR or ALK alterations were randomized (1:1) to receive sintilimab or pembrolizumab monotherapy (PD-L1 expression ≥ 50%), or sintilimab or pembrolizumab plus platinum-based chemotherapy (PD-L1 expression < 50%). The sample size was calculated by optimal two-stage design. The primary endpoint was the objective response rate (ORR). The study included 71 patients (sintilimab arms, n = 35; pembrolizumab arms, n = 36) and met its primary endpoint, with a confirmed ORR of 51.4% (18/35) in the sintilimab arms. The confirmed ORR (95% confidence interval) was 46.2% (19.2%, 74.9%) and 42.9% (17.7%, 71.1%) for patients treated with sintilimab and pembrolizumab monotherapy; and 54.5% (32.2%, 75.6%) and 45.4% (24.4%, 67.8%) for those treated with sintilimab- and pembrolizumab-based combination therapies. The median progression-free survival was 6.9 versus 8.1 months for all sintilimab-treated versus all pembrolizumab-treated patients, respectively, in which it was 7.6 versus 11.0 months in monotherapy and 7.4 versus 7.1 months in combination therapies. The median overall survival was 14.9 versus 21.3 months for all sintilimab-treated versus all pembrolizumab-treated patients, respectively, in which it was 14.9 versus 22.6 months in monotherapy and 14.7 versus 17.3 months in combination therapies. Treatment-related adverse events were consistent with safety outcomes of monotherapy and combination therapy in previous phase III studies. However, the incidence of rash was higher with sintilimab than pembrolizumab monotherapy. This is the first prospective phase 2 study to directly compare two anti-PD-1 antibodies as first-line treatment in advanced NSCLC. Sintilimab was efficacious and well-tolerated irrespective of PD-L1 expression level in patients with advanced NSCLC and had similar efficacy and safety to pembrolizumab.
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Affiliation(s)
- Si-Yang Maggie Liu
- Department of Hematology, The First Affiliated Hospital, Jinan University, Guangzhou 510632, China
| | - Jie Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Jia-Yi Deng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Chinese Thoracic Oncology Group (CTONG), Guangzhou 510055, China
| | - Ming-Yi Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - E-E Ke
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Ming-Ying Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Jia-Xin Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Bin Gan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China
| | - Yangqiu Li
- Department of Hematology, The First Affiliated Hospital, Jinan University, Guangzhou 510632, China; Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou 510632, China.
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Chinese Thoracic Oncology Group (CTONG), Guangzhou 510055, China.
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China; Chinese Thoracic Oncology Group (CTONG), Guangzhou 510055, China.
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5
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Liu SY, Dong S, Yang XN, Liao RQ, Jiang BY, Wang Q, Ben XS, Qiao GB, Lin JT, Yan HH, Yan LX, Nie Q, Tu HY, Wang BC, Yang JJ, Zhou Q, Li HR, Liu K, Wu W, Liu SYM, Zhong WZ, Wu YL. Neoadjuvant nivolumab with or without platinum-doublet chemotherapy based on PD-L1 expression in resectable NSCLC (CTONG1804): a multicenter open-label phase II study. Signal Transduct Target Ther 2023; 8:442. [PMID: 38057314 PMCID: PMC10700550 DOI: 10.1038/s41392-023-01700-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 11/03/2023] [Accepted: 11/12/2023] [Indexed: 12/08/2023] Open
Abstract
This prospective multicenter phase II study evaluated the clinical efficacy of neoadjuvant nivolumab-exclusive (N) and nivolumab-chemotherapy (N/C) combinations based on PD-L1 expression. Eligible patients exhibited resectable clinical stage IIA-IIIB (AJCC 8th edition) NSCLC without EGFR/ALK alterations. Patients received either mono-nivolumab (N) or nivolumab + nab-paclitaxel+ carboplatin (N/C) for three cycles based on PD-L1 expression. The primary endpoint was the major pathological response (MPR). Key secondary endpoints included the pathologic complete response (pCR), objective response rate (ORR), and event-free survival (EFS). Baseline PD-L1 expression and perioperative circulating tumor DNA (ctDNA) status were correlated with pCR and EFS. Fifty-two patients were enrolled, with 46 undergoing surgeries. The MPR was 50.0% (26/52), with 25.0% (13/52) achieving pCR, and 16.7% and 66.7% for patients with PD-L1 ≥ 50% in N and N/C groups, respectively. Thirteen (25.0%) patients experienced grade 3 or higher immune-related adverse events during neoadjuvant treatment. Patients with post-neoadjuvant ctDNA negativity was more likely to have pCR (39.1%) compared with those remained positive (6.7%, odds ratio = 6.14, 95% CI 0.84-Inf, p = 0.077). With a median follow-up of 25.1 months, the 18-month EFS rate was 64.8% (95% CI 51.9-81.0%). For patients with ctDNA- vs. ctDNA + , the 18m-EFS rate was 93.8% vs 47.3% (HR, 0.15; 95% CI 0.04, 0.94; p = 0.005). Immunochemotherapy may serve as an optimal neoadjuvant treatment even for patients with PD-L1 expression ≥ 50%. ctDNA negativity following neoadjuvant treatment and surgery could help identify superior pathological and survival benefits, which requires further confirmation in a prospective clinical trial (NCT04015778).
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Affiliation(s)
- Si-Yang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Song Dong
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ri-Qiang Liao
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qun Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiao-Song Ben
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Gui-Bin Qiao
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jun-Tao Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Li-Xu Yan
- Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qiang Nie
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hong-Rui Li
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
- Berry Oncology Corporation, Fuzhou, China
| | - Ke Liu
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
- Berry Oncology Corporation, Fuzhou, China
| | - Wendy Wu
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
- Berry Oncology Corporation, Fuzhou, China
| | - Si-Yang Maggie Liu
- Chinese Thoracic Oncology Group (CTONG), Guangzhou, China
- Department of Hematology, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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6
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Pan Y, Zhang JT, Gao X, Chen ZY, Yan B, Tan PX, Yang XR, Gao W, Gong Y, Tian Z, Liu SYM, Lin H, Sun H, Huang J, Liu SY, Yan HH, Dong S, Xu CR, Chen HJ, Wang Z, Li P, Guan Y, Wang BC, Yang JJ, Tu HY, Yang XN, Zhong WZ, Xia X, Yi X, Zhou Q, Wu YL. Dynamic circulating tumor DNA during chemoradiotherapy predicts clinical outcomes for locally advanced non-small cell lung cancer patients. Cancer Cell 2023; 41:1763-1773.e4. [PMID: 37816331 DOI: 10.1016/j.ccell.2023.09.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/28/2023] [Accepted: 09/06/2023] [Indexed: 10/12/2023]
Abstract
The value of circulating tumor DNA (ctDNA) during chemoradiotherapy (CRT) remains unclear but is critical for detecting molecular residual disease (MRD). In this prospective study, we sequenced 761 blood samples from 139 patients with locally advanced non-small cell lung cancer treated with definitive radiation therapy (RT). ctDNA concentrations showed a significantly declining trend as CRT progressed at on-RT and after-RT time points versus baseline. Thirty-eight (27.3%) patients with early undetectable ctDNA at both on-RT (RT reached 40 Gy) and after-RT time points, indicating early response to CRT, had better survival outcomes for both with or without consolidation immune checkpoint inhibitors. Longitudinal undetectable MRD was found in 20.1% patients. The 2-year cancer-specific progression-free survival of these patients was 88.4%, corresponding to a potentially cured population. Further analysis revealed that pretreatment ctDNA variants serve as an essential MRD informed source. These data provide clinical insights for ctDNA-MRD detection.
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Affiliation(s)
- Yi Pan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xuan Gao
- Geneplus-Beijing Institute, Beijing, China
| | - Zhi-Yong Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Bingfa Yan
- Geneplus-Beijing Institute, Beijing, China
| | - Pei-Xin Tan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xiao-Rong Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Wei Gao
- Geneplus-Beijing Institute, Beijing, China
| | - Yuhua Gong
- Geneplus-Beijing Institute, Beijing, China
| | - Zihan Tian
- Geneplus-Beijing Institute, Beijing, China
| | - Si-Yang Maggie Liu
- Department of Hematology, First Affiliated Hospital, Institute of Hematology, School of Medicine; Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, Guangdong, China; Chinese Thoracic Oncology Group (CTONG), Guangzhou, Guangdong, China
| | - Hui Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jie Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Si-Yang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Song Dong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Pansong Li
- Geneplus-Beijing Institute, Beijing, China
| | | | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | | | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China.
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China; Chinese Thoracic Oncology Group (CTONG), Guangzhou, Guangdong, China.
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7
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Liu SYM, Tu HY, Wei XW, Yan HH, Dong XR, Cui JW, Zhou Z, Xu CR, Zheng MY, Li YS, Wang Z, Bai XY, Li AN, Sun YL, Huang J, Lin JX, Ke EE, Xu BF, Lu C, Du Y, Chen Y, Ma R, Wang BH, Cang SD, Wang BC, Chen HJ, Yang JJ, Li Y, Zhou Q, Wu YL. First-line pyrotinib in advanced HER2-mutant non-small-cell lung cancer: a patient-centric phase 2 trial. Nat Med 2023; 29:2079-2086. [PMID: 37488286 DOI: 10.1038/s41591-023-02461-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 06/14/2023] [Indexed: 07/26/2023]
Abstract
To explore targeted treatment options in patients with non-small-cell lung cancer (NSCLC) with rare genetic mutations in the context of a patient-centric clinical trial, we initiated, in parallel, a phase 2 adaptive umbrella trial consisting of a criteria-fulfilled (CF) cohort and a compassionate use (CU) cohort under expanded eligibility criteria, and a prospective real-world study (RWS). Here, we present efficacy and safety data from 48 patients with treatment-naive, advanced HER2-mutant NSCLC treated with the pan-HER receptor tyrosine kinase inhibitor pyrotinib (CF and CU cohorts) or physician's therapy of choice (RWS cohort). In the phase 2 trial CF cohort (n = 28), the primary endpoint was reached with an objective response rate of 35.7% after pyrotinib treatment. Secondary endpoints included disease control rate (89.3%), median progression-free survival (PFS) (7.3 months), median overall survival (OS) (14.3 months) and toxicity, which was acceptable, with grade 3 or 4 treatment-related adverse events occurring in three patients (10.7%). The phase 2 trial CU cohort (n = 12) showed an objective response rate of 16.7%, disease control rate of 83.4%, median PFS of 4.7 months and median OS of 14.2 months after pyrotinib treatment. The RWS cohort (n = 8) had no responses to physician's therapy of choice, while median PFS and OS were 3.0 and 12.2 months, respectively. Phase 2 umbrella trial, clinicaltrials.gov identifier: NCT03574402 . RWS, clinicaltrials.gov identifier: NCT03605602 .
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Affiliation(s)
- Si-Yang Maggie Liu
- Department of Hematology, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue-Wu Wei
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- Chinese Thoracic Oncology Group (CTONG), Guangzhou, China
| | - Xiao-Rong Dong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiu-Wei Cui
- Cancer Center, The First Hospital of Jilin University, Jilin University, Changchun, China
| | - Zhen Zhou
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ming-Ying Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiao-Yan Bai
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - An-Na Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yue-Li Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jie Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jia-Xin Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - E E Ke
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Bing-Fei Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chang Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yingying Du
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yuan Chen
- Department of Oncology, Tongji Hospital, Tongji, Medical College, Huazhong, University of Science and Technology, Wuhan, China
| | - Rui Ma
- Medical Oncology Department of Thoracic Cancer, Liaoning Cancer Hospital, Shenyang, China
| | - Bu-Hai Wang
- Department of Oncology, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Shun-Dong Cang
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yangqiu Li
- Department of Hematology, The First Affiliated Hospital, Jinan University, Guangzhou, China.
- Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China.
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
- Chinese Thoracic Oncology Group (CTONG), Guangzhou, China.
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
- Chinese Thoracic Oncology Group (CTONG), Guangzhou, China.
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8
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Cui Y, Yuan T, Wang Y, Zheng D, Qin L, Li S, Jiang Z, Lin S, Guo W, Wang Z, Liang Z, Li Y, Yao Y, Liu X, Tang Q, Tu HY, Zhang XC, Tang Z, Wong N, Zhang Z, Qin D, Thiery JP, Xu K, Li P. T lymphocytes expressing the switchable chimeric Fc receptor CD64 exhibit augmented persistence and antitumor activity. Cell Rep 2023; 42:112797. [PMID: 37436890 DOI: 10.1016/j.celrep.2023.112797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 04/29/2023] [Accepted: 06/26/2023] [Indexed: 07/14/2023] Open
Abstract
Chimeric antigen receptor (CAR) T cell therapy lacks persistent efficacy with "on-target, off-tumor" toxicities for treating solid tumors. Thus, an antibody-guided switchable CAR vector, the chimeric Fc receptor CD64 (CFR64), composed of a CD64 extracellular domain, is designed. T cells expressing CFR64 exert more robust cytotoxicity against cancer cells than CFR T cells with high-affinity CD16 variant (CD16v) or CD32A as their extracellular domains. CFR64 T cells also exhibit better long-term cytotoxicity and resistance to T cell exhaustion compared with conventional CAR T cells. With trastuzumab, the immunological synapse (IS) established by CFR64 is more stable with lower intensity induction of downstream signaling than anti-HER2 CAR T cells. Moreover, CFR64 T cells exhibit fused mitochondria in response to stimulation, while CARH2 T cells contain predominantly punctate mitochondria. These results show that CFR64 T cells may serve as a controllable engineered T cell therapy with prolonged persistence and long-term antitumor activity.
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Affiliation(s)
- Yuanbin Cui
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Tingjie Yuan
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, the Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Guangzhou Laboratory, Guangzhou, China
| | - Ying Wang
- Blood Disease Institution, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Diwei Zheng
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Le Qin
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shanglin Li
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zhiwu Jiang
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Shouheng Lin
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Wenjing Guo
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zhi Wang
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zhaoduan Liang
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; T-cell Immunity Optimized Cure (TIOC) Therapeutics Limited, Hangzhou, China
| | - Yi Li
- T-cell Immunity Optimized Cure (TIOC) Therapeutics Limited, Hangzhou, China
| | - Yao Yao
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Xingguo Liu
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Qiannan Tang
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhaoyang Tang
- Guangdong Zhaotai InVivo Biomedicine Co. Ltd., Guangzhou, China
| | - Nathalie Wong
- Department of Surgery of the Faculty of Medicine, the Chinese University of Hong Kong (CUHK), Hong Kong, China
| | - Zhenfeng Zhang
- Department of Radiology, Translational Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumor Microenvironment, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Dajiang Qin
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, the Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Kailin Xu
- Blood Disease Institution, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
| | - Peng Li
- China-New Zealand Joint Laboratory on Biomedicine and Health, State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, the Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; Department of Surgery of the Faculty of Medicine, the Chinese University of Hong Kong (CUHK), Hong Kong, China; Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong SAR, China.
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9
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Tu HY, Yin K, Zhao X, Ke EE, Wu SP, Li YS, Zheng MM, Liu SYM, Xu CR, Sun YL, Lin JX, Bai XY, Zhang YC, Zhou Q, Yang JJ, Zhong WZ, Wang BC, Zhang XC, Zhu D, Yang L, Ou Q, Wu YL. Genomic and immune characteristics of HER2-mutated non-small cell lung cancer and response to immune checkpoint inhibitor-based therapy. Mol Oncol 2023. [PMID: 37078460 PMCID: PMC10399722 DOI: 10.1002/1878-0261.13439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/10/2023] [Accepted: 04/18/2023] [Indexed: 04/21/2023] Open
Abstract
The efficacy of immunotherapy in advanced HER2-mutated non-small cell lung cancer (NSCLC) remains incomprehensively studied. A total of 107 NSCLC patients with de novo HER2 mutations were retrospectively studied at Guangdong Lung Cancer Institute [GLCI cohort, exon 20 insertions (ex20ins): 71.0%], to compare clinical/molecular features and immune checkpoint inhibitor (ICI)-based therapy efficacy between patients with exon 20 insertion (ex20ins) and non-ex20ins. Two external cohorts (TCGA, n=21; META-ICI, n=30) were used for validation. In the GLCI cohort, 68.2% of patients displayed programmed death-ligand 1 (PD-L1) expression <1%. Compared to ex20ins patients, non-ex20ins patients had more concurrent mutations in the GLCI cohort (P<0.01) and a higher tumor mutation burden in the TCGA cohort (P=0.03). Under ICI-based therapy, advanced NSCLC patients with non-ex20ins had potentially superior progression-free survival [median: 13.0 vs 3.6 months, adjusted hazard ratio (HR): 0.31, 95% confidence interval (CI): 0.11-0.83] and overall survival (median: 27.5 vs. 8.1 months, adjusted HR: 0.39, 95% CI: 0.13-1.18) to ex20ins patients, consistent with findings in the META-ICI cohort. ICI-based therapy may serve as an option for advanced HER2-mutated NSCLC, with potentially better efficacy in non-ex20ins patients. Further investigations are warranted in clinical practice.
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Affiliation(s)
- Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Xiaotian Zhao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - E-E Ke
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Si-Pei Wu
- Guangdong Lung Cancer Institute, Medical Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Mei-Mei Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Si-Yang Maggie Liu
- Department of Hematology, First Affiliated Hospital; Institute of Hematology, School of Medicine; Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China
- Chinese Thoracic Oncology Group (CTONG), Guangzhou, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yue-Li Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jia-Xin Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xiao-Yan Bai
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Chen Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Bing-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xu-Chao Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Guangdong Lung Cancer Institute, Medical Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dongqin Zhu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Lingling Yang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Qiuxiang Ou
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
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10
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Wang Z, Zhang XC, Feng WN, Zhang L, Liu XQ, Guo WB, Deng YM, Zou QF, Yang JJ, Zhou Q, Wang BC, Chen HJ, Tu HY, Yan HH, Wu YL. Circulating tumor cells dynamics during chemotherapy predict survival and response in advanced non-small-cell lung cancer patients. Ther Adv Med Oncol 2023; 15:17588359231167818. [PMID: 37113733 PMCID: PMC10126699 DOI: 10.1177/17588359231167818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/17/2023] [Indexed: 04/29/2023] Open
Abstract
Background Circulating tumor cells (CTCs) are prognostic biomarker in non-small-cell lung cancer (NSCLC). CTCs could also be used as predictor of efficacy of systemic treatments in advanced NSCLC. Objectives We described the dynamic changes of CTCs during first-line platinum-based chemotherapy in advanced NSCLC and clarified the correlation between CTC counts and efficacy of chemotherapy. Design Chemotherapy is administered and blood specimens are collected at four time points from baseline to disease progression for CTC detection. Methods This multicenter prospective study enrolled patients with previously untreated stage III or IV NSCLC fit for standard platinum-based chemotherapy. Bloods were sampled as per standard operating procedures at baseline, cycle 1 and cycle 4 of chemotherapy, and at disease progression for CTC analysis using the CellSearch system. Results Among 150 patients enrolled, median overall survival (OS) was 13.8, 8.4, and 7.9 months in patients with CTC-, KIT-CTC, and KIT+CTC at baseline (p = 0.002). Patients with persistent negative CTC (46.0%) had longer progression-free survival [5.7 months, 95% confidence interval (CI): 5.0-6.5 versus 3.0 months, 0.6-5.4; hazard ratio (HR): 0.34, 95% CI: 0.18-0.67) and OS (13.1 months, 10.9-15.3 versus 5.6 months, 4.1-7.1; HR: 0.17, 0.08-0.36) compared with patients with persistent positive CTC (10.7%), which was not impacted by chemotherapy. Chemotherapy decreased CTC from 36.0% (54/150) to 13.7% (13/95). Conclusions CTC persistent presence during treatment represents poor prognosis and resistance to chemotherapy in advanced NSCLC. Chemotherapy could effectively eliminate CTCs. Molecular characterization and the functionalization of CTC will be warranted for further intensive investigation. Trial registration NCT01740804.
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Affiliation(s)
| | | | | | - Li Zhang
- Cancer Center, Sun Yat-sen University, Guangzhou, China
| | | | - Wei-Bang Guo
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yan-Ming Deng
- The First People’s Hospital of Foshan, Foshan, China
| | - Qing-Feng Zou
- Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | | | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Rd, Guangzhou 510080, China
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11
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Jee J, Lebow ES, Yeh R, Das JP, Namakydoust A, Paik PK, Chaft JE, Jayakumaran G, Rose Brannon A, Benayed R, Zehir A, Donoghue M, Schultz N, Chakravarty D, Kundra R, Madupuri R, Murciano-Goroff YR, Tu HY, Xu CR, Martinez A, Wilhelm C, Galle J, Daly B, Yu HA, Offin M, Hellmann MD, Lito P, Arbour KC, Zauderer MG, Kris MG, Ng KK, Eng J, Preeshagul I, Victoria Lai W, Fiore JJ, Iqbal A, Molena D, Rocco G, Park BJ, Lim LP, Li M, Tong-Li C, De Silva M, Chan DL, Diakos CI, Itchins M, Clarke S, Pavlakis N, Lee A, Rekhtman N, Chang J, Travis WD, Riely GJ, Solit DB, Gonen M, Rusch VW, Rimner A, Gomez D, Drilon A, Scher HI, Shah SP, Berger MF, Arcila ME, Ladanyi M, Levine RL, Shen R, Razavi P, Reis-Filho JS, Jones DR, Rudin CM, Isbell JM, Li BT. Overall survival with circulating tumor DNA-guided therapy in advanced non-small-cell lung cancer. Nat Med 2022; 28:2353-2363. [PMID: 36357680 PMCID: PMC10338177 DOI: 10.1038/s41591-022-02047-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 09/16/2022] [Indexed: 11/12/2022]
Abstract
Circulating tumor DNA (ctDNA) sequencing guides therapy decisions but has been studied mostly in small cohorts without sufficient follow-up to determine its influence on overall survival. We prospectively followed an international cohort of 1,127 patients with non-small-cell lung cancer and ctDNA-guided therapy. ctDNA detection was associated with shorter survival (hazard ratio (HR), 2.05; 95% confidence interval (CI), 1.74-2.42; P < 0.001) independently of clinicopathologic features and metabolic tumor volume. Among the 722 (64%) patients with detectable ctDNA, 255 (23%) matched to targeted therapy by ctDNA sequencing had longer survival than those not treated with targeted therapy (HR, 0.63; 95% CI, 0.52-0.76; P < 0.001). Genomic alterations in ctDNA not detected by time-matched tissue sequencing were found in 25% of the patients. These ctDNA-only alterations disproportionately featured subclonal drivers of resistance, including RICTOR and PIK3CA alterations, and were associated with short survival. Minimally invasive ctDNA profiling can identify heterogeneous drivers not captured in tissue sequencing and expand community access to life-prolonging therapy.
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Affiliation(s)
- Justin Jee
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Emily S Lebow
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Randy Yeh
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jeeban P Das
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Paul K Paik
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Jamie E Chaft
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | | | - A Rose Brannon
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryma Benayed
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Zehir
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark Donoghue
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Ritika Kundra
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Hai-Yan Tu
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chong-Rui Xu
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | | | - Clare Wilhelm
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jesse Galle
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bobby Daly
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Helena A Yu
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Michael Offin
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Matthew D Hellmann
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Piro Lito
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Kathryn C Arbour
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Marjorie G Zauderer
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Mark G Kris
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Kenneth K Ng
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Juliana Eng
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Isabel Preeshagul
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - W Victoria Lai
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - John J Fiore
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Afsheen Iqbal
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Daniela Molena
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Gaetano Rocco
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Bernard J Park
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Lee P Lim
- Resolution Bioscience, Agilent Technologies, Kirkland, WA, USA
| | - Mark Li
- Resolution Bioscience, Agilent Technologies, Kirkland, WA, USA
| | - Candace Tong-Li
- GenesisCare, University of Sydney, Sydney, Australia
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - David L Chan
- GenesisCare, University of Sydney, Sydney, Australia
| | | | | | | | - Nick Pavlakis
- GenesisCare, University of Sydney, Sydney, Australia
| | - Adrian Lee
- GenesisCare, University of Sydney, Sydney, Australia
| | - Natasha Rekhtman
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Jason Chang
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - William D Travis
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Gregory J Riely
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - David B Solit
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Mithat Gonen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Valerie W Rusch
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Andreas Rimner
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Daniel Gomez
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Alexander Drilon
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Howard I Scher
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Sohrab P Shah
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Maria E Arcila
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Marc Ladanyi
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Ross L Levine
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Ronglai Shen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pedram Razavi
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Jorge S Reis-Filho
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - David R Jones
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Charles M Rudin
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - James M Isbell
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medicine, Cornell University, New York, NY, USA
| | - Bob T Li
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medicine, Cornell University, New York, NY, USA.
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12
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Liu SYM, Yan HH, Wei XW, Lu C, Dong XR, Du Y, Cui JW, Chen Y, Ma R, Wang BH, Zhou Z, Cang SD, Yang JJ, Tu HY, Zhang XC, Zhong WZ, Zhou Q, Wu YL. Biomarker-Driven Studies With Multi-targets and Multi-drugs by Next-Generation Sequencing for Patients With Non-Small-Cell Lung Cancer: An Open-Label, Multi-center, Phase II Adaptive Umbrella Trial and a Real-World Observational Study (CTONG1702&CTONG1705). Clin Lung Cancer 2022; 23:e395-e399. [PMID: 35659479 DOI: 10.1016/j.cllc.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/30/2022] [Accepted: 05/08/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND With rare genetic variations having been increasingly recognized at a preclinical stage, a variety of early-phase clinical trials have been launched. Due to the low incidence rate of these variations, although the sample size of trials are small, it still needs a large number of patients for screening. With the advent of next-generation sequencing (NGS), multiple genetic variations can be detected simultaneously. Multiple biomarkers and agents can be evaluated using umbrella clinical trials, which rapidly and effectively screen and enroll patients for parallel sub-studies using NGS. PATIENTS AND METHODS We designed an open-label, multi-center, phase II clinical trial CTONG1702. This is an adaptive umbrella trial that will evaluate the efficacy and safety of several biomarker-driven agents, including tyrosine kinase inhibitors (TKIs) and a PD-1 inhibitor, in stage IIIB to IV patients (eighth AJCC) with non-small-cell lung cancer (NSCLC) patients. Patients will be enrolled in parallel sub-studies based on the results of NGS and PD-L1 IHC analysis. Patients who are not eligible for CTONG1702 will be enrolled in the observational real-world study CTONG1705. This study aims to develop a large-scale genomic database and explore the relationship between genetic variations in NSCLC patients and clinical outcomes. CONCLUSIONS The adaptive umbrella trial will evaluate multi-targets and multi-drugs in advanced NSCLC patients (CTONG1702). In addition, the simultaneously initiated real-world study will provide additional data for clinical practice (CTONG1705).
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Affiliation(s)
- Si-Yang Maggie Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; Department of Hematology, First Affiliated Hospital, Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, 510632, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Xue-Wu Wei
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Chang Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Xiao-Rong Dong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yingying Du
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Jiu-Wei Cui
- Cancer Center, The First Hospital of Jilin University, Jilin University, Changchun 130021, China
| | - Yuan Chen
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Rui Ma
- Medical Oncology Department of Thoracic Cancer, Liaoning Cancer Hospital, Shenyang 110801, China
| | - Bu-Hai Wang
- The Northern Jiangsu People's Hospital, Yangzhou 225009, China
| | - Zhen Zhou
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - Shun-Dong Cang
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
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13
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Zhong YM, Yin K, Chen Y, Xie Z, Lv ZY, Yang JJ, Yang XN, Zhou Q, Wang BC, Zhong WZ, Gao LL, Zhou WB, Chen J, Tu HY, Liao RQ, Zhang DK, Zhang SL, Lu DX, Zheng HB, Zhang HH, Wu YL, Zhang XC. PD-1/PD-L1 combined with LAG3 is associated with clinical activity of immune checkpoint inhibitors in metastatic primary pulmonary lymphoepithelioma-like carcinoma. Front Immunol 2022; 13:951817. [PMID: 36263036 PMCID: PMC9574915 DOI: 10.3389/fimmu.2022.951817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
Primary pulmonary lymphoepithelioma-like carcinoma (PLELC) is an Epstein–Barr virus (EBV)-related, rare subtype of non-small-cell lung cancer (NSCLC). Immune checkpoint inhibitors (ICI) show durable responses in advanced NSCLC. However, their effects and predictive biomarkers in PLELC remain poorly understood. We retrospectively analyzed the data of 48 metastatic PLELC patients treated with ICI. Pretreated paraffin-embedded specimens (n = 19) were stained for PD-1, PD-L1, LAG3, TIM3, CD3, CD4, CD8, CD68, FOXP3, and cytokeratin (CK) by multiple immunohistochemistry (mIHC). Next-generation sequencing was performed for 33 PLELC samples. Among patients treated with ICI monotherapy (n = 30), the objective response rate (ORR), disease control rate (DCR), median progression-free survival (mPFS), and overall survival (mOS) were 13.3%, 80.0%, 7.7 months, and 24.9 months, respectively. Patients with PD-L1 ≥1% showed a longer PFS (8.4 vs. 2.1 months, p = 0.015) relative to those with PD-L1 <1%. Among patients treated with ICI combination therapy (n = 18), ORR, DCR, mPFS, and mOS were 27.8%, 100.0%, 10.1 months, and 19.7 months, respectively. Patients with PD-L1 ≥1% showed a significantly superior OS than those with PD-L1 <1% (NA versus 11.7 months, p = 0.001). Among the 19 mIHC patients, those with high PD-1/PD-L1 and LAG3 expression showed a longer PFS (19.0 vs. 3.9 months, p = 0.003). ICI also showed promising efficacy for treating metastatic PLELC. PD-L1 may be both predictive of ICI treatment efficacy and prognostic for survival in PLELC. PD-1/PD-L1 combined with LAG3 may serve as a predictor of ICI treatment effectiveness in PLELC. Larger and prospective trials are warranted to validate both ICI activity and predictive biomarkers in PLELC.This study was partly presented as a poster at the IASLC 20th World Conference on Lung Cancer 2019, 7–10 September 2019, Barcelona, Spain.
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Affiliation(s)
- Yu-Min Zhong
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Medical Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yu Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Medical Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhi Xie
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Medical Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhi-Yi Lv
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Medical Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ling-Ling Gao
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Wen-Bin Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ji Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ri-Qiang Liao
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dong-Kun Zhang
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shui-Lian Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Medical Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dan-Xia Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Medical Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hong-Bo Zheng
- Department of Medical Affairs, Genecast Biotechnology, Wuxi, China
| | - Heng-Hui Zhang
- Department of Medical Affairs, Genecast Biotechnology, Wuxi, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Cancer Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Medical Research Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- *Correspondence: Xu-Chao Zhang,
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14
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Zhang JT, Liu SY, Gao W, Liu SYM, Yan HH, Ji L, Chen Y, Gong Y, Lu HL, Lin JT, Yin K, Jiang BY, Nie Q, Liao RQ, Dong S, Guan Y, Dai P, Zhang XC, Yang JJ, Tu HY, Xia X, Yi X, Zhou Q, Zhong WZ, Yang XN, Wu YL. Longitudinal Undetectable Molecular Residual Disease Defines Potentially Cured Population in Localized Non-Small Cell Lung Cancer. Cancer Discov 2022; 12:1690-1701. [PMID: 35543554 PMCID: PMC9394392 DOI: 10.1158/2159-8290.cd-21-1486] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/27/2022] [Accepted: 04/01/2022] [Indexed: 01/07/2023]
Abstract
The efficacy and potential limitations of molecular residual disease (MRD) detection urgently need to be fully elucidated in a larger population of non-small cell lung cancer (NSCLC). We enrolled 261 patients with stages I to III NSCLC who underwent definitive surgery, and 913 peripheral blood samples were successfully detected by MRD assay. Within the population, only six patients (3.2%) with longitudinal undetectable MRD recurred, resulting in a negative predictive value of 96.8%. Longitudinal undetectable MRD may define the patients who were cured. The peak risk of developing detectable MRD was approximately 18 months after landmark detection. Correspondingly, the positive predictive value of longitudinal detectable MRD was 89.1%, with a median lead time of 3.4 months. However, brain-only recurrence was less commonly detected by MRD (n = 1/5, 20%). Further subgroup analyses revealed that patients with undetectable MRD might not benefit from adjuvant therapy. Together, these results expound the value of MRD in NSCLC. SIGNIFICANCE This study confirms the prognostic value of MRD detection in patients with NSCLC after definitive surgery, especially in those with longitudinal undetectable MRD, which might represent the potentially cured population regardless of stage and adjuvant therapy. Moreover, the risk of developing detectable MRD decreased stepwise after 18 months since landmark detection. This article is highlighted in the In This Issue feature, p. 1599.
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Affiliation(s)
- Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Si-Yang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Wei Gao
- Geneplus-Beijing Institute, Beijing, China
| | - Si-Yang Maggie Liu
- Department of Hematology, First Affiliated Hospital, Institute of Hematology, School of Medicine; Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, Guangdong, China
- Chinese Thoracic Oncology Group (CTONG), Guangzhou, Guangdong, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Liyan Ji
- Geneplus-Beijing Institute, Beijing, China
| | - Yu Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yuhua Gong
- Geneplus-Beijing Institute, Beijing, China
| | - Hong-Lian Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jun-Tao Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Qiang Nie
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Ri-Qiang Liao
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Song Dong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | | | | | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | | | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
- Corresponding Authors: Yi-Long Wu, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China. Phone: 86-20-83877855; Fax: 86-20-83844620; E-mail: ; and Xue-Ning Yang,
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
- Corresponding Authors: Yi-Long Wu, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, China. Phone: 86-20-83877855; Fax: 86-20-83844620; E-mail: ; and Xue-Ning Yang,
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15
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Liu SYM, Zhou Q, Yan HH, Bin G, Yang MY, Deng JY, Tu HY, Zhang X, Su J, Yang J, Wu YL. Sintilimab versus pembrolizumab in monotherapy or combination with chemotherapy as first-line therapy for advanced non–small cell lung cancer: Results from phase 2, randomized clinical trial (CTONG1901). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.9032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9032 Background: Immunotherapy has become standard therapy for untreated advanced NSCLC. However, no direct comparison between anti-PD-1 inhibitors has been reported. Methods: CTONG1901 is an open label, randomized, phase II clinical trial to compare sintilimab and pembrolizumab in monotherapy or combination with chemotherapy for advanced NSCLC at first-line setting. The primary endpoint was objective response rate (ORR). Patient without EGFR and ALK alteration were enrolled. Patients with PD-L1 tumor proportion score (TPS) ≥50% were randomly to receive sintilimab (A) or pembrolizumab (B) ; and with TPS<50% were randomly to receive sintilimab (C) or pembrolizumab (D) combined with chemotherapy. Sample size was calculated by Optimal Two-Stage Designs. 20 patients were enrolled in 1st stage. When ≥4 patients achieve partial response (PR) in sintilimab arms, the study will enter into 2nd stage and the sample size will be calculated based on the ORR results of the 1st stage. Results: The ORR was 57.1% in sintilimab and 33.3% in pembrolizumab arms at the 1st stage. The study successfully entered into the 2nd stage. 48 additional patients should be enrolled after calculation. When 15 PR in sintilimab arms achieved, the primary endpoint will be reached. From Mar. 2020 to Jan. 2022, 71 patients were screened and 68 patients were enrolled in two stages. Histologic subtypes and brain metastasis were well balanced between arms. As of Dec. 31st 2021, the median follow-up was 5.6 months. The confirmed ORR was 45.5% (15/33) in sintilimab vs. 28.6% (10/35) in pembrolizumab arms (A vs. B: 30.8% [4/13] vs. 28.6% [4/14]; C vs. D: 55.0% [11/20] vs. 28.6% [6/21]). Unconfirmed ORR was 57.6% vs. 42.9% and disease control rate (DCR) was 87.9% vs. 91.4% in sintilimab and pembrolizumab arms. The primary endpoint was reached. Survival data was immature. Any grade and 3-4 grade treatment-related adverse events (TRAEs) were comparable in sintilimab and pembrolizumab arms (Table). Conclusions: This is the first head-to-head phase II study to directly compare two anti-PD-1 antibodies as first-line treatment in advanced NSCLC. The result suggested comparable tumor response and similar safety profile between sintilimab and pembrolizumab. Clinical trial information: NCT04252365. [Table: see text]
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Affiliation(s)
- Si-Yang Maggie Liu
- Department of Hematology, First Affiliated Hospital, Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University; Chinese Thoracic Oncology Group (CTONG), Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGeneral Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Gan Bin
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ming-Yi Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jia-Yi Deng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy ofMedical Sciences, School ofMedicine, South China University ofTechnology, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy ofMedical Sciences, School ofMedicine, South China University ofTechnology, Guangzhou, China
| | - Xuchao Zhang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jinji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yi-Long Wu
- Department of Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
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16
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Tu HY, Yin K, Ke EE, Wu SP, Zhao X, Li YS, Zheng MM, Liu SYM, Sun YL, Lin JX, Bai XY, Zhang YC, Zhou Q, Yang JJ, Zhong W, Wang BC, Zhu D, Yang L, Ou Q, Wu YL. Efficacy of immune checkpoint inhibitors in patients with non–small cell lung cancer harboring ERBB2 exon 20 insertions and non- ERBB2 exon 20 insertions. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.2591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2591 Background: Immune checkpoint inhibitors (ICIs) have suboptimal efficacy in non-small cell lung cancer (NSCLC) patients with ERBB2 mutations, including ERBB2 exon 20 insertions. This study aims to investigate the efficacy of ICIs and immune characteristics in NSCLC patients harboring ERBB2 ex20ins and non-ex20ins mutations. Methods: Advanced NSCLC patients harboring ERBB2 mutations were recruited from January 2016 to December 2020. Pre-ICI tumor tissue samples were collected and performed with targeted next-generation sequencing. Patients received ICIs were followed up every 3 months until November 2021. Genomic features were compared between patients with ERBB2 ex20ins and non-ex20ins mutations. Progression-free survival (PFS), overall survival (OS), and tumor immune microenvironment (TIME) features characterized by multiplex immunohistochemistry (IHC) were further analyzed in patients receiving ICIs. Two-sample T-tests were performed to compare means; Cox models were fitted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Two external datasets of ERBB2-mutant NSCLC patients, including TCGA (n = 23) and META (n = 33), were used for validation. Results: A total of 117 eligible patients were enrolled (median age: 59 [range: 24-82], males 57.3%, stage IV 68.4%, adenocarcinoma 93.2%), of whom 37 received subsequent ICI treatment. similar PD-L1 tumor proportion score (mean: 8.1% vs. 13.2%, p = 0.25) and significantly lower mutation number (mean: 3.0 vs. 6.2 muts/person, p < 0.01) were detected in patients with ERBB2 ex20ins, compared to patients with ERBB2 mutations other than ex20ins. Similarly, in the TCGA cohort, tumor mutation burden was significantly lower in ERBB2 ex20ins patients (mean: 2.2 vs. 10.3 muts/Mb, p = 0.02). Of 37 patients receiving ICIs, ERBB2 non-ex20ins patients displayed superior PFS (mPFS: 13.5 vs. 4.4 months, HR: 0.31, 95% CI: 0.14-0.71), relatively long OS (mOS: 27.5 vs. 8.1 months, HR: 0.47, 95% CI: 0.20-1.14), and a relatively high rate of durable clinical benefit (64.3% vs. 34.8%, p = 0.10) than ex20ins patients, consistent with what was observed in the META cohort (PFS, mPFS: 13.2 vs. 2.5 months, HR: 0.20, 95% CI: 0.06-0.68; OS, mOS: 23.3 vs. 8.0 months, HR: 0.32, 95% CI: 0.11-0.90). Moreover, the CD4+ T cell density appeared to be lower in the tumor stroma of ERBB2 ex20ins patients than that of non-ex20ins patients (300.5 vs. 1288.0 /mm2, p = 0.08), even though the general TIME features of ex20ins patients were similar to those of non-ex20ins patients. Conclusions: NSCLC patients carrying ERBB2 ex20ins demonstrated worse clinical outcome under ICI treatment, similar PD-L1 expression and lower mutation number when compared to those with non-ex20ins mutations. Genomic and TIME characteristics should be further investigated to elucidate the efficacy of ICIs in lung cancer patients carrying ERBB2 mutations.
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Affiliation(s)
- Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy ofMedical Sciences, School ofMedicine, South China University ofTechnology, Guangzhou, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences;The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - E-E Ke
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Si-Pei Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangzhou, China
| | - Xiaotian Zhao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy ofMedical Sciences, School ofMedicine, South China University ofTechnology, Guangzhou, China
| | - Mei-Mei Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Si-Yang Maggie Liu
- Department of Hematology, First Affiliated Hospital, Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University; Chinese Thoracic Oncology Group (CTONG), Guangzhou, China
| | - Yue-Li Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jia-Xin Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiao-Yan Bai
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yi-Chen Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wenzhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dongqin Zhu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Lingling Yang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Qiuxiang Ou
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yi-Long Wu
- Department of Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
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17
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Zheng MM, Li YS, Tu HY, Sun H, Yin K, Jiang BY, Yang JJ, Zhang XC, Zhou Q, Xu CR, Wang Z, Chen HJ, Zhou DX, Wu YL. Subsequent treatments beyond progression on osimertinib in EGFR-mutated NSCLC and leptomeningeal metastases. BMC Med 2022; 20:197. [PMID: 35644609 PMCID: PMC9150343 DOI: 10.1186/s12916-022-02387-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 04/26/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Despite the reported efficacy of osimertinib, central nervous system (CNS) progression is still frequent in EGFR-mutated NSCLC. This study aimed to reveal site-specific resistant mechanisms to osimertinib and investigate subsequent treatments for leptomeningeal metastases (LM). METHODS EGFR-mutated NSCLC with LM who progressed on osimertinib were included. Molecular analysis of cerebrospinal fluid (CSF) at osimertinib progression was performed. Subsequent treatments of LM were collected and analyzed. RESULTS A total of 246 patients were identified. Only those with LM as a progression site on osimertinib were included (n=81). In 58 CSF-plasma pairs, more alterations were uniquely detected in CSF (77%) than in plasma (7%). These mechanisms led to 22 patients receiving matched targeted therapy. Among them, 16 (72.7%) had a clinical response. The median overall survival was 7.2 months. For non-matched therapy (n=59), the osimertinib combination had a longer median overall survival than the regimen switch in CNS-only progression (15.3 vs. 7 months, p=0.03). Finally, serial monitoring by CSF revealed the potential evolution of LM. CONCLUSIONS Private resistant mechanisms in CSF might match osimertinib-resistant LM for targeted therapy. Besides, continuing osimertinib with intensification strategy might prolong survival, especially for those with CNS-only progression. Prospective exploration is needed.
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Affiliation(s)
- Mei-Mei Zheng
- School of Medicine, South China University of Technology, Guangzhou, 510006, China.,Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yang-Si Li
- School of Medicine, South China University of Technology, Guangzhou, 510006, China.,Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - De-Xiang Zhou
- Department of Neurosurgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yi-Long Wu
- School of Medicine, South China University of Technology, Guangzhou, 510006, China. .,Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. .,Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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18
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Peng KC, Su JW, Xie Z, Wang HM, Fang MM, Li WF, Chen YQ, Guan XH, Su J, Yan HH, Zhang XC, Tu HY, Zhou Q, Chen HJ, Wu YL, Yang JJ. Clinical outcomes of EGFR+/METamp+ vs. EGFR+/METamp- untreated patients with advanced non-small cell lung cancer. Thorac Cancer 2022; 13:1619-1630. [PMID: 35437920 PMCID: PMC9161327 DOI: 10.1111/1759-7714.14429] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND MET dysregulation has been implicated in the development of primary and secondary resistance to EGFR tyrosine kinase inhibitor (TKI) therapy. However, the clinicopathological characteristics and outcomes of patients harboring EGFR-sensitive mutations and de novo MET amplifications still need to be explored. METHODS A total of 54 patients from our hospital with non-small cell lung cancer harboring EGFR-sensitive mutations and/or de novo MET amplifications were included in this study. Survival rates were estimated by the Kaplan-Meier method with log-rank statistics. Lung cancer organoids (LCOs) were generated from patient-derived malignant pleural effusion to perform drug sensitivity assays. RESULTS Fifty-four patients with the appropriate clinicopathological characteristics were enrolled. MET FISH was performed in 40 patients who were stratified accordingly into two groups: EGFR+/METamp- (n = 22) and EGFR+/METamp + (n = 18). Survival rates for EGFR+/METamp- and EGFR+/METamp + patients respectively, were as follows: the median progression-free survival (PFS) was 12.1 and 1.9 months (p<0.001); the median post-progression overall survival (pOS) was 25.6 and 11.6 months (p = 0.023); the median overall survival (OS) was 33.2 and 12.7 months (p = 0.013). Drug testing conducted in LCOs derived from malignant pleural effusion from EGFR+/METamp + patients showed that dual targeted therapy was more effective than TKI monotherapy. CONCLUSION EGFR+/METamp + patients treated with first-line TKI monotherapy had poor clinical outcomes. Dual targeted therapy showed potent anticancer activity in the LCO drug testing assay, suggesting that it is a promising first-line treatment for EGFR+/METamp + patients. Randomized controlled trials are needed to further validate these results.
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Affiliation(s)
- Kai-Cheng Peng
- School of Medicine, South China University of Technology, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jun-Wei Su
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhi Xie
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Han-Min Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Mei-Mei Fang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wen-Feng Li
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yu-Qing Chen
- School of Medicine, South China University of Technology, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xu-Hui Guan
- School of Medicine, South China University of Technology, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- School of Medicine, South China University of Technology, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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19
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Chang J, Wu YL, Lu S, Wang J, Mok T, Zhang L, Feng J, Wu L, Tu HY, Zhang Y, Luft A, Zhou JY, Ma Z, Lu Y, Hu C, Shi Y, Poddubskaya E, Soo RA, Chia YH, Penrod JR, Taylor F, Lawrance R, Blum SI, Sun X, Juarez-Garcia A, Moreno-Koehler A, Li A, Li A, Cheng Y. Three-year follow-up and patient-reported outcomes from CheckMate 078: Nivolumab versus docetaxel in a predominantly Chinese patient population with previously treated advanced non-small cell lung cancer. Lung Cancer 2022; 165:71-81. [PMID: 35093625 DOI: 10.1016/j.lungcan.2021.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/10/2021] [Accepted: 12/12/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVES In the phase 3 CheckMate 078 study, nivolumab prolonged overall survival (OS) and showed a favorable safety profile versus docetaxel in a predominantly Chinese patient population with previously treated advanced non-small cell lung cancer (aNSCLC). However, long-term efficacy, safety, and health-related quality of life findings with second-line nivolumab are very limited in Asian patients with previously treated aNSCLC. Here, we report updated clinical data and patient-reported outcomes (PROs) from the phase 3 CheckMate 078 trial with a 3-year minimum follow-up. MATERIALS AND METHODS Patients with aNSCLC and disease progression after platinum-doublet chemotherapy were randomized 2:1 to nivolumab (3 mg/kg every 2 weeks) or docetaxel (75 mg/m2 every 3 weeks) until progression or unacceptable toxicity. The primary endpoint was OS; secondary endpoints included objective response rate, progression-free survival, safety, and disease-related symptom deterioration assessed using the Lung Cancer Symptom Scale (LCSS) by Week 12. Additional PRO assessments were exploratory endpoints. RESULTS At ≥ 37.3 months follow-up, 3-year OS rates were 19% with nivolumab and 12% with docetaxel; 30% and 0% of responders remained in response for ≥ 3 years, respectively. Incidence of treatment-related adverse events occurring after 2 years was lower than during the first 2 years. No new treatment-related deaths were reported. By Week 12 of treatment, rates of disease-related symptom deterioration were 32% with nivolumab and 47% with docetaxel. Completion rates for PRO questionnaires were ≥ 80% in both arms. Clinically meaningful and sustained improvements in LCSS Average Symptom Burden Index scores and delayed time to first symptom deterioration were observed with nivolumab against docetaxel. CONCLUSIONS At 3 years, nivolumab continued to demonstrate survival benefit versus docetaxel, exhibiting improvements in disease-related symptoms and overall health status in a predominantly Chinese patient population with previously treated aNSCLC. No new safety signals were observed. These findings are similar to the global population.
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Affiliation(s)
- Jianhua Chang
- Fudan University Shanghai Cancer Center, 270 Dongan Road, Shanghai 200032, China.
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, 106 Zhongshan Second Road, Guangzhou 510080, China.
| | - Shun Lu
- Shanghai Chest Hospital, 241 Huaihai West Road, Shanghai 200030, China.
| | - Jie Wang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.
| | - Tony Mok
- State Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, 30-32 Ngan Shing Street, Hong Kong, China.
| | - Li Zhang
- Sun Yat-Sen University Cancer Center, 651 Dong Feng East Road, Guangzhou 510060, China.
| | - Jifeng Feng
- Jiangsu Cancer Hospital, 42 Bai Zi Ting, Nanjing 210000, China.
| | - Lin Wu
- Hunan Cancer Hospital, 283 Tongzipo Road, Changsha 410013, China.
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, 106 Zhongshan Second Road, Guangzhou 510080, China.
| | - Yiping Zhang
- Zhejiang Cancer Hospital, 1 Banshan East Road, Hangzhou 310022, China.
| | - Alexander Luft
- Leningrad Regional Clinical Hospital, 45-49 Lunacharskogo Avenue, St. Petersburg 194291, Russian Federation.
| | - Jian-Ying Zhou
- The First Affiliated Hospital of College of Medicine, 79 Qingchun Road, Hangzhou 310003, China.
| | - Zhiyong Ma
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, 127 Dongming Road, Zhengzhou 450008, China.
| | - You Lu
- West China Hospital, Sichuan University, 37 Guoxue Lane, Chengdu 610041, China.
| | - Chengping Hu
- Xiangya Hospital of Central South University, 87 Xiangya Road, Changsha 410008, China.
| | - Yuankai Shi
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.
| | - Elena Poddubskaya
- Clinical Center VitaMed, 10 Seslavinskaya Street, Moscow, Russian Federation.
| | - Ross A Soo
- National University Hospital, 1E Kent Ridge Road, 119228 Singapore, Singapore.
| | - Yee Hong Chia
- Johns Hopkins Singapore Pte Ltd, 11 Jalan Tan Tock Seng, 308433 Singapore, Singapore.
| | | | | | | | | | | | | | | | - Ang Li
- Bristol Myers Squibb, Princeton, NJ 08540, USA.
| | - Amy Li
- Bristol Myers Squibb, Princeton, NJ 08540, USA.
| | - Ying Cheng
- Jilin Cancer Hospital, 1018 Huguang Road, Changchun 130012, China.
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20
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Wang Z, Yu R, Chen X, Bao H, Cao R, Li AN, Ou Q, Tu HY, Zhou Q, Wu X, Lin ZB, Wu YL. Clinical utility of cerebrospinal fluid-derived circular RNAs in lung adenocarcinoma patients with brain metastases. J Transl Med 2022; 20:74. [PMID: 35123506 PMCID: PMC8818222 DOI: 10.1186/s12967-022-03274-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 01/24/2022] [Indexed: 12/22/2022] Open
Abstract
Abstract
Background
Free circular RNAs(circRNAs) escaping from primary lesion of cancer to brain are strictly regulated by blood–brain barrier and therefore cerebrospinal fluid (CSF) circRNAs have potential advantage in exploring biomarkers and mechanism of brain metastasis in lung cancer.
Methods
We collected paired cerebrospinal fluid, plasma and tumor tissues from 21 lung adenocarcinoma (ADC) patients with brain metastases (BM) and performed RNA sequencing.
Results
Compared to tumor tissue and plasma, circRNAs in CSF were characterized by lower number of spieces but higher abundance. Notably, CSF-circRNAs displayed high heterogeneity among different BM lung ADC patients. A total of 60 CSF-circRNAs was identified and associated with shorten overall survival. The circRNA-miRNA-mRNA network analysis revealed that the 60 CSF-circRNAs involved in cancer-associated pathways, and five of them showed strong association with WNT signaling pathway. Validation by RT-PCR of CSF and in vitro experiments of the five candidate circRNAs support their potential roles in cell proliferation and invasion.
Conclusions
In summary, our results depicted the heterogenous CSF-circRNAs profiles among BM lung ADC and implied that CSF-circRNAs may be promising prognosis-related biomarkers.
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21
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Tu HY, Feng J, Shi M, Zhao J, Wang Y, Chang J, Wang J, Cheng Y, Zhu J, Tan EH, Li K, Zhang Y, Lee V, Yang CT, Su WC, Lam DCL, Srinivasa BJ, Rajappa S, Ho CL, Lam KC, Hu Y, Bondarde SA, Liu X, Tian Y, Xue Z, Cseh A, Huang DCL, Zhou C, Wu YL. A Phase IIIb Open-Label, Single-Arm Study of Afatinib in EGFR TKI-Naïve Patients with EGFRm+ NSCLC: Final Analysis, with a Focus on Patients Enrolled at Sites in China. Target Oncol 2022; 17:1-13. [PMID: 35020119 PMCID: PMC8783858 DOI: 10.1007/s11523-021-00859-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2021] [Indexed: 11/05/2022]
Abstract
Background Afatinib has been shown as a suitable option for the treatment of epidermal growth factor receptor mutation-positive (EGFRm+) non-small-cell lung cancer (NSCLC) in randomized controlled trials. However, patients treated in real-world clinical practice, including elderly patients, and those with brain metastases or poor Eastern Cooperative Oncology Group (ECOG) performance statuses, are often excluded from these studies. Objective To report the final results, with a particular focus on patients enrolled in China, from a prospective phase IIIb, “near real-world” study of afatinib in tyrosine kinase inhibitor (TKI)-naïve Asian patients with EGFRm+ NSCLC. Patients and Methods NCT01953913 was conducted at 34 centers across Asia. Entry criteria were broad to reflect real-world settings. Patients received afatinib 40 mg/day until tumor progression, lack of clinical benefit, or poor tolerability. Assessments included safety, time to symptomatic progression (TTSP), and progression-free survival (PFS). Results 541 patients were treated, of whom 412 were enrolled in China. Dose reductions were implemented in 28.7% of patients overall, and 17.7% of patients from China. Safety findings were consistent with phase III studies of afatinib. Median TTSP in all patients was 14.0 months (95% CI 12.9–15.9), and median PFS was 12.1 months (95% CI 11.0–13.6). Median TTSP (13.8 months, 95% CI 12.7–16.1) and PFS (11.4 months, 95% CI 10.9–13.7) were similar in patients from China to the overall population. Among patients from China who had dose reductions, TTSP was numerically longer than in those who did not (16.4 vs. 13.8 months; P = 0.0703), while PFS was significantly longer (13.9 vs. 11.1 months; P = 0.0275). Among patients from China with brain metastases, TTSP was numerically shorter than in those without (11.0 vs. 14.4 months; P = 0.0869), whereas PFS was significantly shorter (9.2 vs. 12.9 months; P = 0.0075). Conclusions Safety data for afatinib when used in a “near real-world” setting in patients with EGFRm+ NSCLC was consistent with the known safety profile of afatinib. Supporting efficacy data of afatinib were provided in all patients, and in those enrolled in China. Tolerability-guided afatinib dose reduction allowed patients to remain on treatment and continue to experience clinical benefit. Trial Registration Number and Date of Registration NCT01953913 (1 October 2013). Supplementary Information The online version contains supplementary material available at 10.1007/s11523-021-00859-6.
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Affiliation(s)
- Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jifeng Feng
- Department of Medical Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Meiqi Shi
- Department of Medical Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department 1 of Thoracic Oncology Medicine, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department 1 of Thoracic Oncology Medicine, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Jianhua Chang
- Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Jialei Wang
- Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Ying Cheng
- Division of Thoracic Oncology, Jilin Province Cancer Hospital, Changchun, 130012, China
| | - Jing Zhu
- Division of Thoracic Oncology, Jilin Province Cancer Hospital, Changchun, 130012, China
| | - Eng-Huat Tan
- Department of Medical Oncology, National Cancer Centre, Singapore, 169610, Singapore
| | - Kai Li
- Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Yiping Zhang
- Zhejiang Cancer Hospital, Hangzhou, 310022, China
| | - Victor Lee
- Department of Clinical Oncology, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.,Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, 518053, China
| | - Cheng-Ta Yang
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Wu-Chou Su
- National Cheng Kung University Hospital, Tainan, 704, Taiwan
| | - David Chi-Leung Lam
- Departments of Clinical Oncology, and Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | | | - Senthil Rajappa
- Basavatarakam Indo-American Cancer Hospital and Research Institute, Hyderabad, 500034, India
| | - Ching-Liang Ho
- Division of Hematology/Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, 114, Taiwan
| | - Kwok Chi Lam
- Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China
| | - Yi Hu
- Department of Oncology, Chinese PLA General Hospital, Beijing, 100853, China
| | | | | | - Yahui Tian
- Boehringer Ingelheim (China) Investment Co., Ltd, Shanghai, China
| | - Zhiyi Xue
- Boehringer Ingelheim (China) Investment Co., Ltd, Shanghai, China
| | - Agnieszka Cseh
- Boehringer Ingelheim International GmbH, 55216, Ingelheim, Germany
| | | | - Caicun Zhou
- Shanghai Pulmonary Hospital, Tongji University, Shanghai, 200433, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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22
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Mondaca S, Lebow ES, Namakydoust A, Razavi P, Reis-Filho JS, Shen R, Offin M, Tu HY, Murciano-Goroff Y, Xu C, Makhnin A, Martinez A, Pavlakis N, Clarke S, Itchins M, Lee A, Rimner A, Gomez D, Rocco G, Chaft JE, Riely GJ, Rudin CM, Jones DR, Li M, Shaffer T, Hosseini SA, Bertucci C, Lim LP, Drilon A, Berger MF, Benayed R, Arcila ME, Isbell JM, Li BT. Corrigendum to "Clinical utility of next-generation sequencing-based ctDNA testing for common and novel ALK fusions" [Lung Cancer 159 (2021) 66-73]. Lung Cancer 2021; 162:210. [PMID: 34625293 PMCID: PMC10551809 DOI: 10.1016/j.lungcan.2021.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Sebastian Mondaca
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Department of Hematology and Oncology, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362 6th Fl, Rm 609, Santiago, Chile.
| | - Emily S Lebow
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Azadeh Namakydoust
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Pedram Razavi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering, 1275 York Avenue, New York, NY, USA
| | - Michael Offin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Hai-Yan Tu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, China
| | - Yonina Murciano-Goroff
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Chongrui Xu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, China
| | - Alex Makhnin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Andres Martinez
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Nick Pavlakis
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, NSW 2109, Australia
| | - Stephen Clarke
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, NSW 2109, Australia
| | - Malinda Itchins
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, NSW 2109, Australia
| | - Adrian Lee
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, NSW 2109, Australia
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Daniel Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Gaetano Rocco
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Jamie E Chaft
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Gregory J Riely
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - David R Jones
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Mark Li
- Resolution Bioscience, 550 Kirkland Way #200, Kirkland, WA, USA
| | - Tristan Shaffer
- Resolution Bioscience, 550 Kirkland Way #200, Kirkland, WA, USA
| | | | | | - Lee P Lim
- Resolution Bioscience, 550 Kirkland Way #200, Kirkland, WA, USA
| | - Alexander Drilon
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Michael F Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York NY, USA
| | - Ryma Benayed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Maria E Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - James M Isbell
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Bob T Li
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA.
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23
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Peng LX, Jie GL, Li AN, Liu SY, Sun H, Zheng MM, Zhou JY, Zhang JT, Zhang XC, Zhou Q, Zhong WZ, Yang JJ, Tu HY, Su J, Yan HH, Wu YL. MET amplification identified by next-generation sequencing and its clinical relevance for MET inhibitors. Exp Hematol Oncol 2021; 10:52. [PMID: 34758872 PMCID: PMC8579577 DOI: 10.1186/s40164-021-00245-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 10/29/2021] [Indexed: 12/28/2022] Open
Abstract
Background MET amplification plays an important role in the development of non-small-cell lung cancer (NSCLC) either de novo or in resistance to epidermal growth factor receptor tyrosine–kinase inhibitor (EGFR-TKI) settings. Fluorescence in situ hybridization (FISH) is the standard method for MET amplification. With more and more discoveries of oncogenic driver genes, next-generation sequencing (NGS) plays a significant role in precision oncology. Meanwhile, the role of NGS in MET amplification remains uncertain. Methods Forty patients diagnosed with advanced NSCLC were included. FISH and NGS were conducted prior to MET inhibitors treatment. MET amplification by FISH was defined as a MET/CEP7 ratio of > 2.0 and/or copy number (CN) > 5. MET amplification by NGS was defined as gene copy number (GCN) ≥ 5. Results The concordance rate among FISH and NGS was 62.5% (25/40). MET amplification identified by FISH showed the optimal predictive value. The partial response (PR) rate was 68.0% (17/25 with MET amplification) vs. 6.7% (1/15 without MET amplification); the median progression-free survival (PFS) was 5.4 months versus 1.0 months (P < 0.001). MET amplification identified by NGS failed to distinguish significant clinical outcomes. The PR rate was 60.0% (6/10, with MET GCN ≥ 5) vs. 40.0% (12/30, with MET GCN < 5); the median PFS was 4.8 months vs. 2.2 months (P = 0.357). The PR rate was 68.8% (11/16) and the median PFS was 4.8 months in patients with focal amplification by NGS. Conclusions MET amplification identified by FISH remains the optimal biomarker to identify suitable candidates for MET-TKI therapy. In comparison, amplification identified by NGS seems not as robust to be effective predictive biomarker. Further exploration is needed regarding the focal amplification by NGS in predicting the efficacy. Supplementary Information The online version contains supplementary material available at 10.1186/s40164-021-00245-y.
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Affiliation(s)
- Lun-Xi Peng
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Guang-Ling Jie
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,School of Medicine, South China University of Technology, Guangzhou, China
| | - An-Na Li
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Si-Yang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Mei-Mei Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,School of Medicine, South China University of Technology, Guangzhou, China
| | - Jia-Ying Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.,School of Medicine, South China University of Technology, Guangzhou, China
| | - Jia-Tao Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Xu-Chao Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Qing Zhou
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Wen-Zhao Zhong
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jin-Ji Yang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yi-Long Wu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China. .,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. .,School of Medicine, South China University of Technology, Guangzhou, China.
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24
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Liu SYM, Sun H, Zhou JY, Zhang JT, Yin K, Chen ZH, Su J, Zhang XC, Yang JJ, Zhou Q, Tu HY, Wu YL. Prediction of unfavourable response to checkpoint blockade in lung cancer patients through an integrated tumour-immune expression score. Transl Oncol 2021; 15:101254. [PMID: 34715621 PMCID: PMC8571398 DOI: 10.1016/j.tranon.2021.101254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 10/02/2021] [Accepted: 10/21/2021] [Indexed: 12/30/2022] Open
Abstract
Predictive power of PD response for ICIs was superior than traditional biomarkers; Predictive efficacy was improved by integrating tumor-immune-related features; When tumor-specific feature was replaced, the model has pan-cancer applicability. NRAS and PDPK1 have the potential to induce primary resistance to ICIs.
Background Treatment by immune checkpoint blockade (ICB) provides a remarkable survival benefit for multiple cancer types. However, disease aggravation occurs in a proportion of patients after the first couple of treatment cycles. Methods RNA sequencing data was retrospectively collected. 6 tumour-immune related features were extracted and combined to build a lung cancer-specific predictive model to distinguish responses as progression disease (PD) or non-PD. This model was trained by 3 public pan-cancer datasets and a lung cancer cohort from our institute, and generated a lung cancer-specific integrated gene expression score, which we call LITES. It was finally tested in another lung cancer dataset. Results LITES is a promising predictor for checkpoint blockade (area under the curve [AUC]=0.86), superior to traditional biomarkers. It is independent of PD-L1 expression and tumour mutation burden. The sensitivity and specificity of LITES was 85.7% and 70.6%, respectively. Progression free survival (PFS) was longer in high-score group than in low-score group (median PFS: 6.0 vs. 2.4 months, hazard ratio=0.45, P=0.01). The mean AUC of 6 features was 0.70 (range=0.61-0.75), lower than in LITES, indicating that the combination of features had synergistic effects. Among the genes identified in the features, patients with high expression of NRAS and PDPK1 tended to have a PD response (P=0.001 and 0.01, respectively). Our model also functioned well for patients with advanced melanoma and was specific for ICB therapy. Conclusions LITES is a promising biomarker for predicting an impaired response in lung cancer patients and for clarifying the biological mechanism underlying ICB therapy.
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Affiliation(s)
- Si-Yang Maggie Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; Department of Hematology; First Affiliated Hospital; Institute of Hematology, School of Medicine; Key Laboratory for Regenerative Medicine of Ministry of Education; Jinan University, Guangzhou, 510632, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Jia-Ying Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Kai Yin
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Zhi-Hong Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
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Cheng HQ, Liu YC, Xu JP, Xu G, Tu HY, Gao M. [Experimental research on characteristics of temperature field distribution of mild moxibustion and sparrow-pecking moxibustion]. Zhongguo Zhen Jiu 2021; 41:1113-7. [PMID: 34628744 DOI: 10.13703/j.0255-2930.20200826-k0003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To explore the temperature field distribution and variation rules during treatment with mild moxibustion and sparrow-pecking moxibustion of TCM. METHODS Six healthy subjects were selected. Mild moxibustion and sparrow-pecking moxibustion were exerted at Zusanli (ST 36) respectively, for 25 min. Using infrared thermal imaging instrument, the temperature field distribution was measured during moxibustion at Zusanli (ST 36). The simulated thermometer was adopted to measure the temperature field distribution during moxibustion at the imitated cortex. At 20 min of mild moxibustion and sparrow-pecking moxibustion, the temperature field distribution generated by moxibustion was observed at the imitated cortex and Zusanli (ST 36) separately. The temperature values were collected at the sites 0.7, 2.1 and 3.5 cm far from the center of the moxibustion-exerted places successively, and then the characteristics of temperature field distribution and variation rules were compared between different moxibustion methods at the imitated cortex and Zusanli (ST 36). RESULTS At 20 min of mild moxibustion and sparrow-pecking moxibustion at Zusanli (ST 36), the temperature field distribution focused on the center of moxibustion-exerted site and the temperature was reduced to all directions and illustrated as a curved surface graph, whereas, the temperature field distribution at the imitated cortex was consistent with that at Zusanli (ST 36). With mild moxibustion, the temperature field was distributed uniformly along the longitudinal temperature gradient; whereas, with sparrow-pecking moxibustion, the longitudinal temperature of the temperature field was greatly different, in which, the maximum temperature and the average temperature were higher than those with mild moxibustion respectively and the first time up to the peak value of sparrow-pecking moxibustion was shorter than that with mild moxibustion. The thermal transfer was presented at the non-moxibustion exerted areas during the moxibustion experiment at Zusanli (ST 36). CONCLUSION A distance feature is presented in the temperature field measured by simulated thermometer and generated under suspension moxibustion at Zusanli (ST 36). The warm stimulation effect of sparrow-pecking moxibustion is much more obvious at the moxibustion-exerted center as compared with mild moxibustion and the area of warm stimulation generated by sparrow-pecking moxibustion is more concentrated as compared with mild moxibustion. The radiation energy produced by suspension moxibustion is scattered and attenuated in skin tissue, resulting in a certain temperature gradient in the temperature field. The warm stimulation generated at skin surface by moxibustion has a warming-dredging effect.
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Affiliation(s)
- Hong-Qun Cheng
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Yi-Cheng Liu
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Jin-Peng Xu
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Gang Xu
- School of Acupuncture-Moxibustion and Tuina, Shanghai University of TCM
| | - Hai-Yan Tu
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Ming Gao
- School of Acupuncture-Moxibustion and Tuina, Shanghai University of TCM
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Cui JW, Zhou Q, Lu S, Cheng Y, Wang J, Bai RL, Li WQ, Qian L, Chen XY, Fan Y, Huang C, Liu XQ, Tu HY, Yang JJ, Zhang L, Zhou JY, Zhong WZ, Wu YL. The Chinese Thoracic Oncology Group (CTONG) therapeutic option scoring system: a multiple-parameter framework to assess the value of lung cancer treatment options. Transl Lung Cancer Res 2021; 10:3594-3607. [PMID: 34584859 PMCID: PMC8435396 DOI: 10.21037/tlcr-21-388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 08/17/2021] [Indexed: 12/24/2022]
Abstract
Background Currently, there is no standard context that conforms to the Chinese national framework for evaluating medical decisions regarding the treatment of lung cancer. Methods This draft was formulated after a systematic review and a focus group discussion among 20 experts, who were senior physicians with extensive clinical experience from the Chinese Thoracic Oncology Group (CTONG) task force. Subsequently, a draft and a five-point Likert scale were sent to 300 CTONG working group members. These were modified according to feedback from a four-round modified Delphi approach. Hence, the first version of the ‘Therapeutic option of lung cancer: CTONG scoring system’ was formulated. Afterward, a corresponding questionnaire was designed to collect opinions on the weight allocation of various indicators. This was issued through the WeChat platform, “Oncology News” application and e-mails from October 23, 2020, to November 25, 2020. Participants from numerous occupations in cancer-related fields from various regions of China were included in the study. Overall and subgroup analyses regarding weight allocations were performed. The differences between participant-allocated and reference weights were considered to adjust the framework. Results The framework contained four aspects and six indicators, including efficacy [progression-free survival (PFS)/overall survival (OS) and subsequent treatment], safety [treatment-related severe adverse event (SAE), dose adjustment], quality of life (Qol), and compensation. The reference weights were 50%, 5%, 10%, 5%, 10%, and 20% for each indicator. By November 25, 2020, 1,043 valid questionnaires had been obtained. The majority of the questionnaires were completed by physicians (86.5%). Subgroup analysis among the various groups showed an overall consistent trend. Besides, significant differences between the participant-allocated and reference weights were found among PFS/OS (difference: −11.5%), compensation (difference: −10.1%), and subsequent treatment (difference: 9.7%) indicators. After discussion, the final weight allocations were set at 45%, 10%, 15%, 5%, 10%, and 15% for PFS/OS, subsequent treatment, treatment-related SAE, dose adjustment, Qol, and compensation, respectively. Conclusions The CTONG scoring system, as an objective evaluation model that involves multiple parameters, is a breakthrough method for evaluating the therapeutic value of lung cancer treatment options in China, which is worthy of further verification in future clinical practice.
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Affiliation(s)
- Jiu-Wei Cui
- Cancer Center, the First Hospital of Jilin University, Changchun, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shun Lu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ying Cheng
- Department of Medical Oncology, Jilin Province Tumour Hospital, Changchun, China
| | - Jie Wang
- Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ri-Lan Bai
- Cancer Center, the First Hospital of Jilin University, Changchun, China
| | - Wen-Qian Li
- Cancer Center, the First Hospital of Jilin University, Changchun, China
| | - Lei Qian
- Cancer Center, the First Hospital of Jilin University, Changchun, China
| | | | - Yun Fan
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Cheng Huang
- Department of Respiratory Medicine, Fujian Provincial Tumor Hospital, Fuzhou, China
| | - Xiao-Qing Liu
- Department of Pulmonary Oncology, 307 Hospital of the Academy of Military Medical Sciences, Beijing, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Li Zhang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jian-Ying Zhou
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
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Tu HY, Li YS, Bai XY, Sun YL, Zheng MY, Ke EE, Liao RQ, Jiang BY, Lin JX, Huang J, Xu BF, Yang JJ, Zhang XC, Zhou Q, Wang BC, Chen HJ, Tong X, Yu R, Wu X, Zhu D, Wu YL. Genetic Profiling of Cell-Free DNA From Pleural Effusion in Advanced Lung Cancer as a Surrogate for Tumor Tissue and Revealed Additional Clinical Actionable Targets. Clin Lung Cancer 2021; 23:135-142. [PMID: 34645582 DOI: 10.1016/j.cllc.2021.09.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/31/2021] [Accepted: 09/05/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Pleural effusion (PE) has been one of the promising sources of liquid biopsy in advanced lung cancer patients. However, its clinical utility is not widely accepted due to the lack of full estimation of its potential versus routine clinical samples. METHOD A total of 164 advanced lung cancer patients were enrolled with 164 matched tumor tissue and PE-cfDNA, 153 accompanied plasma and 63 1PE-sDNA. RESULT PE-cfDNA displayed significantly higher median mutant allele frequency and an overall mutation concordance rate of 65% to tissue, which was higher than PE-sDNA (43%) and plasma-cfDNA (43%). The discrepancies between PE-cfDNA and tumor tissue were high in several genes, including SMARCA4, PIK3CA, ERBB2, KM T2A, ALK and NF1. For clinically actionable mutations, the concordance rate between PE-cfDNA and tumor tissue is 87%. Eleven patients were identified with actionable mutations in PE-cfDNA and four patients benefited from PE-cfDNA-guided targeted. Meanwhile, PE-cfDNA recapitulated mutations of diverse tissue origins and provided more mutational information under the circumstance that tumor tissue or tumor tissue of different origins were unavailable. The combination of tumor tissue and PE-cfDNA profiling increased positive detection rates of patients compared to tumor tissue alone. Our finding highlighted the importance of PE-cfDNA in the optimal selection of patients for targeted therapy. CONCLUSION The PE-cfDNA-based liquid biopsy displays better performance in the characterization of gene alterations than PE-sDNA and plasma-cfDNA. PE-cfDNA together with tumor tissue profiling optimizes comprehensively genomic profiling of lung cancer patients, which might be important for selecting patients for better treatment management.
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Affiliation(s)
- Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China; School of Medicine, South China University of Technology, Guangzhou, China
| | - Xiao-Yan Bai
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yue-Li Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ming-Ying Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - E-E Ke
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ri-Qiang Liao
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jia-Xin Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jie Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bing-Fei Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaoling Tong
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Ruoying Yu
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Xue Wu
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Dongqin Zhu
- Nanjing Geneseeq Technology Inc., Nanjing, 210032, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China; School of Medicine, South China University of Technology, Guangzhou, China.
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Zhou Q, Xu CR, Cheng Y, Liu YP, Chen GY, Cui JW, Yang N, Song Y, Li XL, Lu S, Zhou JY, Ma ZY, Yu SY, Huang C, Shu YQ, Wang Z, Yang JJ, Tu HY, Zhong WZ, Wu YL. Bevacizumab plus erlotinib in Chinese patients with untreated, EGFR-mutated, advanced NSCLC (ARTEMIS-CTONG1509): A multicenter phase 3 study. Cancer Cell 2021; 39:1279-1291.e3. [PMID: 34388377 DOI: 10.1016/j.ccell.2021.07.005] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 03/18/2021] [Accepted: 07/03/2021] [Indexed: 01/20/2023]
Abstract
Dual inhibition of epidermal growth factor receptor (EGFR) and vascular endothelial growth factor (VEGF) pathways may delay therapeutic resistance in advanced non-small cell lung cancer (NSCLC). This phase 3 study investigated the efficacy and safety of an erlotinib plus bevacizumab regimen in untreated patients with advanced NSCLC. In total, 311 patients received bevacizumab plus erlotinib (n = 157) or erlotinib only (n = 154). Progression-free survival (PFS) was 17.9 months (95% confidence interval [CI], 15.2-19.9) for bevacizumab plus erlotinib and 11.2 months (95% CI, 9.7-13.8) for erlotinib only (hazard ratio [HR] = 0.55; 95% CI, 0.41-0.73; p < 0.001). A brain metastases subgroup treated with bevacizumab plus erlotinib also showed improved PFS (HR = 0.48; 95% CI, 0.27-0.84; p = 0.008). Grade ≥3 treatment-related adverse events occurred in 86 (54.8%) and 40 (26.1%) patients, respectively. Bevacizumab plus erlotinib significantly improved PFS in patients with untreated metastatic EGFR-mutated NSCLC, including those with brain metastases at baseline.
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Affiliation(s)
- Qing Zhou
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chong-Rui Xu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ying Cheng
- Department of Thoracic Oncology, Jilin Provincial Tumor Hospital, Changchun, China
| | - Yun-Peng Liu
- Department of Medical Oncology, First Hospital of China Medical University, Shenyang, China
| | - Gong-Yan Chen
- Medical Oncology, Cancer Hospital of Harbin Medical University, Harbin, China
| | - Jiu-Wei Cui
- Cancer Center, First Hospital of Jilin University, Changchun, China
| | - Nong Yang
- Department of Medical Oncology, Hunan Cancer Hospital, Changsha, China
| | - Yong Song
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Xiao-Ling Li
- Medical Oncology, Liaoning Cancer Hospital, Shenyang, China
| | - Shun Lu
- Medical Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-Ying Zhou
- Respiratory Medicine, First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Zhi-Yong Ma
- Department of Respiratory Medicine, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Zhengzhou, China
| | - Shi-Ying Yu
- Medical Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cheng Huang
- Medical Oncology, Fujian Cancer Hospital, Fuzhou, China
| | - Yong-Qian Shu
- Medical Oncology, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Zhen Wang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China.
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Mondaca S, Lebow ES, Namakydoust A, Razavi P, Reis-Filho JS, Shen R, Offin M, Tu HY, Murciano-Goroff Y, Xu C, Makhnin A, Martinez A, Pavlakis N, Clarke S, Itchins M, Lee A, Rimner A, Gomez D, Rocco G, Chaft JE, Riely GJ, Rudin CM, Jones DR, Li M, Shaffer T, Hosseini SA, Bertucci C, Lim LP, Drilon A, Berger MF, Benayed R, Arcila ME, Isbell JM, Li BT. Clinical utility of next-generation sequencing-based ctDNA testing for common and novel ALK fusions. Lung Cancer 2021; 159:66-73. [PMID: 34311346 DOI: 10.1016/j.lungcan.2021.06.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 06/16/2021] [Accepted: 06/24/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Liquid biopsy for plasma circulating tumor DNA (ctDNA) next-generation sequencing (NGS) can detect ALK fusions, though data on clinical utility of this technology in the real world is limited. MATERIALS AND METHODS Patients with lung cancer without known oncogenic drivers or who had acquired resistance to therapy (n = 736) underwent prospective plasma ctDNA NGS. A subset of this cohort (n = 497) also had tissue NGS. We evaluated ALK fusion detection, turnaround time (TAT), plasma and tissue concordance, matching to therapy, and treatment response. RESULTS ctDNA identified an ALK fusion in 21 patients (3%) with a variety of breakpoints and fusion partners, including EML4, CLTC, and PON1, a novel ALK fusion partner. TAT for ctDNA NGS was shorter than tissue NGS (10 vs. 20 days; p < 0.001). Among ALK fusions identified by ctDNA, 93% (13/14, 95% CI 66%-99%) were concordant with tissue evaluation. Among ALK fusions detected by tissue NGS, 54% (13/24, 95% CI 33%-74%) were concordant with plasma ctDNA. ctDNA matched patients to ALK-directed therapy with subsequent clinical response, including four patients matched on the basis of ctDNA results alone due to inadequate or delayed tissue testing. Serial ctDNA analysis detected MET amplification (n = 2) and ALK G1202R mutation (n = 2) as mechanisms of acquired resistance to ALK-directed therapy. CONCLUSION Our findings support a complementary role for ctDNA in detection of ALK fusions and other alterations at diagnosis and therapeutic resistance settings.
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Affiliation(s)
- Sebastian Mondaca
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Department of Hematology and Oncology, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362 6th Fl, Rm 609, Santiago, Chile.
| | - Emily S Lebow
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Azadeh Namakydoust
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Pedram Razavi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering, 1275 York Avenue, New York, NY, USA
| | - Michael Offin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Hai-Yan Tu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, China
| | - Yonina Murciano-Goroff
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Chongrui Xu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, China
| | - Alex Makhnin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Andres Martinez
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Nick Pavlakis
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, Macquarie University NSW 2109, Australia
| | - Stephen Clarke
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, Macquarie University NSW 2109, Australia
| | - Malinda Itchins
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, Macquarie University NSW 2109, Australia
| | - Adrian Lee
- GenesisCare (formerly Northern Cancer Institute), University of Sydney, Macquarie University NSW 2109, Australia
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Daniel Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Gaetano Rocco
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Jamie E Chaft
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Gregory J Riely
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - David R Jones
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Mark Li
- Resolution Bioscience, 550 Kirkland Way #200, Kirkland, WA, USA
| | - Tristan Shaffer
- Resolution Bioscience, 550 Kirkland Way #200, Kirkland, WA, USA
| | | | | | - Lee P Lim
- Resolution Bioscience, 550 Kirkland Way #200, Kirkland, WA, USA
| | - Alexander Drilon
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Michael F Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York NY, USA
| | - Ryma Benayed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Maria E Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - James M Isbell
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA
| | - Bob T Li
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA.
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Passaro A, de Marinis F, Tu HY, Laktionov KK, Feng J, Poltoratskiy A, Zhao J, Tan EH, Gottfried M, Lee V, Kowalski D, Yang CT, Srinivasa BJ, Clementi L, Jalikop T, Huang DCL, Cseh A, Park K, Wu YL. Afatinib in EGFR TKI-Naïve Patients with Locally Advanced or Metastatic EGFR Mutation-Positive Non-Small Cell Lung Cancer: A Pooled Analysis of Three Phase IIIb Studies. Front Oncol 2021; 11:709877. [PMID: 34307179 PMCID: PMC8298067 DOI: 10.3389/fonc.2021.709877] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 06/21/2021] [Indexed: 01/26/2023] Open
Abstract
Background Afatinib is approved for first-line treatment of patients with epidermal growth factor receptor mutation-positive (EGFRm+) non-small-cell lung cancer (NSCLC). Here, we report findings from a combined analysis of three phase IIIb studies of afatinib in EGFR tyrosine kinase inhibitor (TKI)-naïve patients. Methods EGFR-TKI-naïve patients with EGFRm+ NSCLC received afatinib 40 mg/day. Dose reductions were permitted for adverse events (AEs). Efficacy endpoints included progression-free survival (PFS), time to symptomatic progression (TTSP), and tumor response. Subgroup analyses were performed by Eastern Cooperative Oncology Group performance status (ECOG PS), presence of brain metastasis, age and common/uncommon EGFR mutations (plus other factors). Results 1108 patients were treated. Median age was 61 years (range, 25-89); 19.2% had baseline brain metastases, 4.4% had ECOG PS ≥2, and 17.9% had tumors harboring uncommon mutations. Treatment-related AEs (TRAEs) were reported in 97.2%, most commonly diarrhea and rash. 41.6% had AEs leading to dose reduction. Median PFS was 13.0 months [95% confidence interval (CI): 12.0-13.8]; median TTSP was 14.8 months (95% CI: 13.9-16.1). Objective response rate (ORR) was 55.0%. Age, presence of baseline brain metastases, major (G719X, L861Q, S768I) or compound uncommon mutations had little/no effect on PFS, TTSP, or ORR, while outcomes were poorer in patients with ECOG PS 2 or exon 20 insertion/T790M mutations. Conclusions Afatinib was tolerable with no new safety signals. Afatinib demonstrated encouraging efficacy in a broad patient population, including those with brain metastases or uncommon EGFR mutations.
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Affiliation(s)
- Antonio Passaro
- Division of Thoracic Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Filippo de Marinis
- Division of Thoracic Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | | | - Jifeng Feng
- Jiangsu Provincial Tumor Hospital, Nanjing, China
| | | | - Jun Zhao
- Peking University Cancer Hospital & Institute, Beijing, China
| | | | | | - Victor Lee
- Department of Clinical Oncology, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Dariusz Kowalski
- Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Cheng Ta Yang
- Chang Gung Memorial Hospital, Guishan, Taoyuan, Taiwan
| | | | | | | | | | - Agnieszka Cseh
- Boehringer Ingelheim International GmbH, Ingelheim am Rhein, Germany
| | - Keunchil Park
- Division of Hematology Oncology, Samsung Medical Center Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
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Xu C, Tu HY, Sun Y, Li YS, Xu B, Wang B, Chen HJ, Wang Z, Zhou Q, Yang J, Yang Q, Wu YL. Adverse events in non-small cell lung cancer patients receiving immune checkpoint inhibitors: A single center, real-world study in China. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.e21081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21081 Background: Immune checkpoint inhibitors (ICIs) have improved clinical outcomes in non-small cell lung cancer (NSCLC), whereas they also can cause various adverse events (AEs). We reported the incidences, spectrum and severity of AEs in real-life practice after the approval of ICIs in Chinese NSCLC patients. Methods: In this single center, retrospective study, anonymized electronic medical record data were collected from the dedicated lung cancer immunotherapy outpatient clinic of Guangdong Provincial People’s Hospital through the LinkDoc database. The patients (≥18 years old) with pathologically diagnosed metastatic NSCLC who receiving ICIs between 1 June 2019 and 31 December 2020 were included. The immune-related adverse events (irAEs) were diagnosed and assessed by oncologists. All AEs were classified and graded according to the National Cancer Institute Common Toxicity Criteria for Adverse Events (CTCAE V5.0). Results: A total of 203 patients with a median age of 60.5 years were included in this study. Most patients were male (81.8%), smokers (49.8%), non-squamous histological type (51.7%). 61.1% of patients visited the outpatient clinic more than once. Pembrolizumab and Nivolumab were given to the majority of patients (80.8%). 114 patients (56.2%) received single-agent and 89 patients (43.8%) received combination therapy. The median duration of ICIs therapy was 271.2 days. In our study, 68.0% of patients experienced any-grade AEs, and 19.7% experienced grade≥3 AEs. The most commonly AEs were abnormal laboratory findings (57.1%), blood and lymphatic system disorders (25.1%), and respiratory disorders (19.7%). All of 93 patients (45.8%) experienced irAEs and 6 patients (8.4%) developed grade≥3 irAEs. The most frequent irAEs included blood and lymphatic system disorders (25.1%), hepatobiliary disorders (17.7%), and cardiac disorders (9.9%). Cough (3.4%), sputum (2.5%), and pain (2.0%) were the most frequent AEs which received treatment. Conclusions: Our results showed 68.0% and 45.8% patients experienced AEs and irAEs, respectively. The AEs and irAEs were primarily low grade. This study also demonstrated the information of AEs could be well collected and managed through our dedicated lung cancer immunotherapy outpatient clinic. [Table: see text]
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Affiliation(s)
- Chongrui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yueli Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Bingfei Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Binchao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Jinji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Qi Yang
- LinkDoc (Beijing) Technology Co. Ltd., Beijing, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Peoples Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
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Xia SL, Dian SY, Zhang HR, Li YK, Tu HY, Zhao GY. [Development and application of a moxibustion instrument with multi-jointed manipulator]. Zhongguo Zhen Jiu 2021; 41:221-4. [PMID: 33788475 DOI: 10.13703/j.0255-2930.20191123-k0003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
In view of the limitations of the existing moxibustion instruments, i.e. possible accidental injury when using moxibustion instruments, the negative effects of products from moxibustion instruments on treatment efficacy and health of medical staff and patients, a moxibustion instrument with multi-jointed manipulator is designed. This moxibustion instrument could accurately control the temperature, maintain a safe moxibustion distance, automatically process the burning ashes of moxa and selectively handle moxa smoke. The experimental results shows that this instrument could maintain the constant temperature of target acupoint, reduce the risk of empyrosis, and reasonably deal with the products of moxibustion. The purification rate of moxa smoke is 44.9%, which not only ensures the therapeutic effect of moxa smoke, but also reduces the negative effects of high-concentration moxa smoke on the health of medical staff and patients.
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Affiliation(s)
- Shi-Lin Xia
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Song-Yi Dian
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Han-Rui Zhang
- Department of Rehabilitation, Chengdu Fifth People's Hospital
| | - Ying-Kun Li
- Department of Acupuncture and Moxibustion, Affiliated Hospital of Chengdu University of TCM
| | - Hai-Yan Tu
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Guo-You Zhao
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
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Tu HY, Wu YL. Effect of Dose Adjustments on the Safety and Efficacy of Afatinib in Chinese Patients with EGFR-Mutated Non-Small Cell Lung Cancer Who Participated in the LUX-Lung Clinical Trial Program. Onco Targets Ther 2020; 13:12539-12547. [PMID: 33324072 PMCID: PMC7733053 DOI: 10.2147/ott.s273866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 10/30/2020] [Indexed: 11/23/2022] Open
Abstract
Background Post hoc analysis of the LUX-Lung 3 and 6 (LL3/6) Phase III trials showed that tolerability-guided dose-adjustments of afatinib reduced treatment-related adverse events (TRAEs) without affecting progression-free survival (PFS) in patients with epidermal growth factor receptor (EGFR) mutation-positive non-small-cell lung cancer (NSCLC). The current post hoc analysis evaluated outcomes of tolerability-guided dose adjustments of afatinib in patients enrolled in the LL3/6/7 trials in Chinese centers. Patients and Methods Patients enrolled in LL3/6/7 had advanced EGFR mutation-positive NSCLC. LL3 and LL7 recruited patients globally (including China) and LL6 enrolled Asian patients from China, Thailand, and South Korea. In LL3 and LL6, patients were randomized to afatinib 40 mg/day or cisplatin-based chemotherapy. In the Phase IIb LL7 trial, patients were randomized to afatinib 40 mg/day or gefitinib. Tolerability-guided dose adjustments were permitted for TRAEs, and PFS was the primary endpoint. This post hoc analysis pooled data from patients enrolled in Chinese centers in LL3/6/7 and analyzed the frequency and severity of TRAEs before and after afatinib dose reductions during the first 6 months. PFS and overall survival (OS) were compared for patients who had a dose reduction in the first 6 months and those who did not. Results Overall, 299 patients were enrolled in Chinese centers; 68 (23%) had afatinib dose reductions to <40 mg/day in the first 6 months. Prior to dose reduction, 55/68 patients (81%) experienced grade ≥3 TRAE versus 13/68 (19%) after dose reduction. Grade ≥3 TRAEs were much more common in patients with than in those without dose reduction. Median PFS was 11.0 months in both groups, and median OS did not differ significantly: 23.1 months in patients with a dose reduction and 26.9 months in those without a dose reduction. Conclusion Tolerability-guided afatinib dose adjustment is an effective strategy to reduce TRAEs without affecting efficacy in Chinese patients.
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Affiliation(s)
- Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, People's Republic of China
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Kang J, Zhang XC, Chen HJ, Zhong WZ, Xu Y, Su J, Zhou Q, Tu HY, Wang Z, Xu CR, Yang XN, Chen ZH, Wu X, Zhang X, Shao Y, Wu YL, Yang JJ. Complex ALK Fusions Are Associated With Better Prognosis in Advanced Non-Small Cell Lung Cancer. Front Oncol 2020; 10:596937. [PMID: 33363027 PMCID: PMC7759679 DOI: 10.3389/fonc.2020.596937] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 11/10/2020] [Indexed: 12/27/2022] Open
Abstract
Background Echinoderm microtubule-associated protein-like 4 (EML4) is the canonical anaplastic lymphoma kinase (ALK) fusion partner in non-small cell lung cancer (NSCLC), and ALK-positive patients showed promising responses to ALK tyrosine kinase inhibitors (TKIs). However, studies that comprehensively investigate ALK TKI treatment in patients with different ALK fusion patterns are still lacking. Methods Ninety-eight ALK-positive patients with advanced NSCLC were retrospectively studied for their response to crizotinib and subsequent treatments. Comprehensive genomic profiling (CGP) was conducted to divide patients into different groups based on their ALK fusion patterns. Non-canonical ALK fusions were validated using RNA-sequencing. Results 54.1% of patients had pure canonical EML4-ALK fusions, 19.4% carried only non-canonical ALK fusions, and 26.5% harbored complex ALK fusions with coexisting canonical and non-canonical ALK fusions. The objective response rate and median progression-free survival to crizotinib treatment tended to be better in the complex ALK fusion group. Notably, patients with complex ALK fusions had significantly improved overall survival after crizotinib treatment (p = 0.012), especially when compared with the pure canonical EML4-ALK fusion group (p = 0.010). The complex ALK fusion group also tended to respond better to next-generation ALK TKIs, which were used as later-line therapies. Most identified non-canonical ALK fusions were likely to be expressed in tumors, and some of them formed canonical EML4-ALK transcripts during mRNA maturation. Conclusion Our results suggest NSCLC patients with complex ALK fusions could potentially have better treatment outcomes to ALK TKIs therapy. Also, diagnosis using CGP is of great value to identify novel ALK fusions and predict prognosis.
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Affiliation(s)
- Jin Kang
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xu-Chao Zhang
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Medical Research Center, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hua-Jun Chen
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Wen-Zhao Zhong
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yang Xu
- Translational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada
| | - Jian Su
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hai-Yan Tu
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhen Wang
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chong-Rui Xu
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xue-Ning Yang
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhi-Hong Chen
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xue Wu
- Translational Medicine Research Institute, Geneseeq Technology Inc., Toronto, ON, Canada
| | - Xian Zhang
- Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yang Shao
- Nanjing Geneseeq Technology Inc., Nanjing, China.,School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yi-Long Wu
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Medical Research Center, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Division of Pulmonary Oncology, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Zhao GY, Liu YC, Tu HY, Zhang HR, Xia SL, Li YK. [Design and application of moxibustion mechanical arm]. Zhen Ci Yan Jiu 2020; 45:936-40. [PMID: 33269840 DOI: 10.13702/j.1000-0607.200030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Traditional moxibustion treatment mainly relies on doctors using specific techniques to stimulate the patient's acupoints with ignited moxa sticks. In view of the poor reproducibility, and different methods of different doctors, difficult to carry out quantitative and qualitative research work in clinical research, a moxibustion mechanical arm was designed. The hardware modules of the mechanical arm are composed of power, micro controller STM32, position servos, moxibustion strip thruster, human-computer interaction panel and sensors; the software parts are composed of main control program and interrupt service program. The use of this moxibustion mechanical arm will enhance the system's multi-task adaptability and could perform a variety of moxibustion methods including circling moxibustion and sparrow-pecking moxibustion. The data collected in real time will be transmitted to PC through bluetooth, displayed on OLED, and the system operation modes could be switched by button. Clinical trials showed that moxibustion mechanical arm had the same treatment effects with traditional moxibustion. Meanwhile, its convenience of ope-ration, repeatability of treatment, doctors and patients's treatment experience are all better than those of traditional moxibustion.
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Affiliation(s)
- Guo-You Zhao
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Yi-Cheng Liu
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Hai-Yan Tu
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Han-Rui Zhang
- Department of Rehabilitation, Chengdu Fifth Hospital, Chengdu 611130
| | - Shi-Lin Xia
- College of Electrical Engineering, Sichuan University, Chengdu 610065, China
| | - Ying-Kun Li
- School of Acupuncture-moxibustion and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu 610075
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Li XM, Li WF, Lin JT, Yan HH, Tu HY, Chen HJ, Wang BC, Wang Z, Zhou Q, Zhang XC, Su J, Chen RL, Wu YL, Yang JJ. Predictive and Prognostic Potential of TP53 in Patients With Advanced Non-Small-Cell Lung Cancer Treated With EGFR-TKI: Analysis of a Phase III Randomized Clinical Trial (CTONG 0901). Clin Lung Cancer 2020; 22:100-109.e3. [PMID: 33317922 DOI: 10.1016/j.cllc.2020.11.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 11/03/2020] [Accepted: 11/10/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Mutations in TP53 are commonly found in patients with epidermal growth factor receptor (EGFR) mutant advanced non-small-cell lung cancer (NSCLC). In this study, we determined the predictive and prognostic potential of different subtypes of TP53 using data from a phase III randomized trial (CTONG 0901). PATIENTS AND METHODS The trial enrolled 195 patients who had undergone next-generation sequencing of 168 genes before treatment with EGFR tyrosine kinase inhibitors. Mutations in TP53 (exon 4 or 7, other mutations, and wild-type) were analyzed based on the therapeutic response and survival. A Cox proportional hazards model was used to determine the potential of the predictive and prognostic factors. RESULTS All 195 patients harbored activating EGFR mutations: the most common concomitant mutations were TP53 (134/195, 68.7%), CTNNB1 (20/195, 10.3%), and RB1 (16/195, 8.2%). The genetic profiles between patient subgroups administered first-line (132, 67.7%) or later-line (63, 32.3%) treatments did not significantly differ. The median progression-free survival in patients with mutations in exon 4 or 7 of TP53, other TP53 mutations, and wild-type TP53 were 9.4, 11.0, and 14.5 months (P = .009), respectively. Overall survival times were 15.8, 20.0, and 26.1 months (P = .004), respectively. Mutations in exon 4 or 7 of TP53 served as independent prognostic factors for progression-free (P = .001) and overall survival (P = .004) in patients. CONCLUSION Mutations in exon 4 and/or 7 in TP53 are promising predictive and prognostic indicators in EGFR-mutated NSCLC.
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Affiliation(s)
- Xiang-Meng Li
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Wen-Feng Li
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Jun-Tao Lin
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hong-Hong Yan
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hai-Yan Tu
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hua-Jun Chen
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Bin-Chao Wang
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Zhen Wang
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Qing Zhou
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Xu-Chao Zhang
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Jian Su
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Rui-Lian Chen
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yi-Long Wu
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
| | - Jin-Ji Yang
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
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Zheng MM, Li YS, Tu HY, Jiang BY, Yang JJ, Zhou Q, Xu CR, Yang XR, Wu YL. Genotyping of Cerebrospinal Fluid Associated With Osimertinib Response and Resistance for Leptomeningeal Metastases in EGFR-Mutated NSCLC. J Thorac Oncol 2020; 16:250-258. [PMID: 33122107 DOI: 10.1016/j.jtho.2020.10.008] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/16/2020] [Accepted: 10/02/2020] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Patients with NSCLC with leptomeningeal metastases (LM) presented dismal prognosis. Cerebrospinal fluid (CSF) is suggested as a medium of liquid biopsy of LM. However, the clinical implications of CSF genotyping on treatment outcomes remained elusive. METHODS Patients with EGFR-mutated advanced NSCLC with LM were included: cohort 1, patients with LM who were treated with osimertinib with CSF and plasma genotyping performed before the first dosing of osimertinib (baseline, n = 45); cohort 2, CSF genotyping on progression on osimertinib and development of LM (the progression event on osimertinib is the diagnosis of LM, n = 35). Circulating tumor DNA in CSF underwent next-generation sequencing. RESULTS Sensitivity of CSF genotyping for EGFR-sensitizing mutations was 93.3% (42 of 45) and 97.1% (34 of 35) in cohorts 1 and 2, respectively. In cohort 1, patients with EGFR exon 19 deletion had higher median intracranial progression free survival (iPFS) than those with EGFR exon 21 L858R mutation (11.9 versus 2.8 mo; p = 0.02). Median iPFS was significantly longer in patients with T790M-positive CSF genotyping (15.6 mo) than T790M-negative CSF (7.0 mo, p = 0.04). Concurrent CDK4 (2.8 versus 11.6 mo, p = 0.002) and CDKN2A (2.5 versus 9.6 mo, p = 0.04) mutation with EGFR-sensitizing mutations indicated lower median iPFS. Patients with T790M-negative CSF, EGFR exon 21 L858R mutation, concurrent FGF3 alteration, and over first-line osimertinib had shortened iPFS. In cohort 2, possible EGFR-related and EGFR-independent resistance mechanisms were found including C797S mutation, MET dysregulation, and TP53 plus RB1 co-occurrence. Patients with loss of T790M in CSF had a shorter median iPFS (7.4 mo) compared with those with reserved T790M (13.6 mo, p = 0.01). CONCLUSIONS Genotyping of CSF indicated heterogeneous response to osimertinib and revealed the genetic characteristic of LM on osimertinib failure in patients with EGFR-mutated NSCLC diagnosed with LM.
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Affiliation(s)
- Mei-Mei Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Xiao-Rong Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.
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Cheng JT, Yao YH, Gao YE, Zhang SL, Chen HJ, Wang Z, Yan HH, Zhou Q, Tu HY, Zhang XC, Su J, Xie Z, Lizaso A, Chen SY, Lin X, Xiang JX, Wu YL, Yang JJ. Integrated histological and molecular analyses of rebiopsy samples at osimertinib progression improve post-progression survivals: A single-center retrospective study. Lung Cancer 2020; 150:97-106. [PMID: 33126092 DOI: 10.1016/j.lungcan.2020.10.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/30/2020] [Accepted: 10/11/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND This single-center retrospective cohort study sought to investigate the impact of rebiopsy analysis after osimertinib progression in improving the survival outcomes. METHODS Eighty-nine patients with EGFR T790M-positive advanced NSCLC who received second- or further-line osimertinib between January 2017 and July 2019 were included in this study. The co-primary study endpoints were post-progression progression-free survival (pPFS), defined as the time from osimertinib progression until progression from further-line treatment, and post-progression overall survival (pOS), defined as the time from osimertinib progression until death or the last follow-up date. RESULTS Pairwise analysis revealed that receiving targeted therapy as further-line treatment after osimertinib progression did not statistically improve the pPFS (P = 0.285) or the pOS (P = 0.903) compared to chemotherapy. However, patients who submitted rebiopsy samples at osimertinib progression for histological and molecular analyses, particularly those who had actionable markers and received highly matched therapy, had significantly longer pPFS and pOS as compared to those who received low-level matched therapy (pPFS = 10.0 m vs. 4.1 m, P = 0.005; pOS = 19.4 m vs. 10.0 m, P = 0.023), unmatched therapy (pPFS = 10.0 m vs. 4.7 m, P = 0.009; pOS = 19.4 m vs. 7.0 m, P = 0.001), and those without rebiopsy data (Rebiopsy vs Non-rebiopsy; pPFS = 6.1 m vs. 3.3 m, P = 0.014; pOS = 11.7 m vs. 6.8 m, P = 0.011). CONCLUSION Our real-world cohort study demonstrates that integrated histological and molecular analyses of rebiopsy specimens after osimertinib progression could provide more opportunities for individualized treatments to improve the post-progression survival of patients with advanced NSCLC. Our findings provide clinical evidence that supports the inclusion of NGS-based analysis of rebiopsy specimens as standard-of-care after osimertinib progression and warrants further prospective evaluation.
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Affiliation(s)
- Jiang-Tao Cheng
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yi-Hui Yao
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Yu-Er Gao
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Shi-Ling Zhang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hua-Jun Chen
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Zhen Wang
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hong-Hong Yan
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Qing Zhou
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Hai-Yan Tu
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Xu-Chao Zhang
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Jian Su
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Zhi Xie
- Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | | | | | - Xuan Lin
- Burning Rock Biotech, Guangzhou, 510300, China
| | | | - Yi-Long Wu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
| | - Jin-Ji Yang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China; Cancer Center, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Abstract
Mutations in the EGFR gene are particularly prevalent among Chinese patients with non-small-cell lung carcinoma. Six EGFR tyrosine kinase inhibitors are approved for the first-line treatment of EGFR mutation-positive non-small-cell lung carcinoma in China, which poses questions about which agent is most suitable for a particular patient. In this article, we review available clinical trial and real-world data with afatinib in Chinese patients. We assess its efficacy and safety in key patient subgroups such as those with uncommon mutations or brain metastases. We also consider possible subsequent therapies following afatinib. Encouragingly, available data suggest that sequential afatinib and osimertinib confer prolonged overall time to failure of almost 4 years in Asian patients, and represents a viable option in this setting.
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Affiliation(s)
- Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, PR China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, PR China
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Li YS, Zheng MM, Jiang BY, Tu HY, Yang JJ, Zhang XC, Wu YL. Association of Cerebrospinal Fluid Tumor DNA Genotyping With Survival Among Patients With Lung Adenocarcinoma and Central Nervous System Metastases. JAMA Netw Open 2020; 3:e209077. [PMID: 32749467 PMCID: PMC7403922 DOI: 10.1001/jamanetworkopen.2020.9077] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMPORTANCE Owing to the improvement of systemic therapies for lung cancer, patients live longer, but the incidence of central nervous system (CNS) metastases also increases. Cerebrospinal fluid (CSF) has been proven better than plasma to reveal unique genetic profiling of intracranial metastases. How genetic alterations in CSF are associated with the prognosis of this heterogeneous patient group remains elusive. OBJECTIVE To examine the association of molecular alterations in CSF with the survival of patients with a diagnosis of lung adenocarcinoma and CNS metastases. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort analysis of 94 patients with advanced lung adenocarcinoma and CNS metastases was conducted from July 1, 2016, to July 31, 2018. Patients' CSF samples were collected, and next-generation sequencing of CSF circulating tumor DNA was performed. MAIN OUTCOME AND MEASURES The main outcome was survival after diagnosis with CNS metastases. Genotyping of CSF circulating tumor DNA was studied to examine its association with the clinical outcomes of patients with CNS metastases. RESULTS Of the 94 patients (49 male; mean [SD] age, 53 [1] years) with lung adenocarcinoma and CNS metastases evaluated, 79 harbored an EGFR variant. The most common genes seen in CSF were EGFR (79 [84.0%]), TP53 (57 [60.6%]), MET (23 [24.5%]), CDKN2A (22 [23.4%]), MYC (20 [21.3%]), NTRK1 (19 [20.2%]), and CDK6 (15 [16.0%]). Cluster analysis identified 5 molecular subtypes of CNS metastases. Patients in cluster I had the shortest median survival after diagnosis of CNS metastases compared with each of the other clusters (cluster I, 7.5 months; cluster II, 55.7 months; cluster III, 17.9 months; cluster IV, 27.9 months; cluster V, 21.0 months) and significantly increased risk of death compared with patients in the other clusters (cluster II: hazard ratio [HR], 4.95; 95% CI, 1.50-16.41; P = .009; cluster III: HR, 4.75; 95% CI, 1.49-15.12; P = .008; cluster IV: HR, 6.38; 95% CI, 1.76-23.09; P = .005; cluster V: HR, 5.42; 95% CI, 1.63-17.98; P = .006). The genetic profiles of cluster I were characterized by a high detection rate of CDK4 (9 of 9 [100%]), TP53 (8 of 9 [88.9%]), MET (7 of 9 [77.8%]), and CDKN2A (7 of 9 [77.8%]). For those with EGFR variants, coalterations with CDK4 (HR, 2.02; 95% CI, 1.03-3.96; P = .04), CDK6 (HR, 2.52; 95% CI, 1.32-4.83; P = .005), and MYC (HR, 2.24; 95% CI, 1.21-4.15; P = .01) were associated with poor outcomes. CONCLUSIONS AND RELEVANCE Patients with a diagnosis of lung adenocarcinoma and CNS metastases experienced heterogeneous survival outcomes based on genetic profiling in CSF. These data suggest that CSF might facilitate risk stratifying CNS metastases into appropriate outcomes and provide reference for further clinical study.
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Affiliation(s)
- Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Mei-Mei Zheng
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People’s Hospital and Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
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Murciano-Goroff YR, Lebow ES, Tu HY, Li M, Lim LP, Arbour KC, Travis W, Solit DB, Ladanyi M, Jones DR, Rudin CM, Martinez A, Myers ML, Makhnin A, Razavi P, Offin MD, Isbell JW, Riely GJ, Hyman DM, Lito P, Li BT. Abstract 12: Characterizing KRAS G12C and other mutations in plasma ctDNA from patients with lung cancer. Clin Cancer Res 2020. [DOI: 10.1158/1557-3265.advprecmed20-12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: KRAS is the most common oncogene in lung cancers, but despite decades of intense research, there are no FDA-approved drugs targeting these cancers. Recent recognition that KRAS G12C harbors a binding pocket near the mutant cysteine residue has enabled the development of a new class of allele-specific inhibitors that are currently in early-phase trials. However, the mutational landscape and clinical characteristics of KRAS G12C mutant lung cancers are not well understood. The clinical use of plasma circulating tumor DNA (ctDNA) provides an opportunity to characterize this disease.
Methods: Plasma was collected from 636 patients seen at Memorial Sloan Kettering Cancer Center between 11/2016 and 5/2019. ctDNA was extracted and analyzed using the validated 23-gene ctDx-Lung assay (Resolution Bioscience; Kirkland, WA). Categorical comparisons were carried out using Fisher’s exact test.
Results: 95 NSCLC patients were identified as having alterations in KRAS based on ctDNA analysis, of whom 93.7% were metastatic at the time of plasma testing. 81.8% and 80.6% of G12C and non-G12C patients were systemic treatment naive at the time of testing, respectively. 33 patients had KRAS G12C mutations (34.7%), and 62 had other KRAS mutations (65.3%), including mutations in G12D in 24 patients, G12V in 9 patients, Q61H in 5, G12A in 8, G12S in 7, G13C in 3, G13D in 2, G13V and G12F in one patient each, as well as both Q61L and G13C in 2 patients. 60.6% of KRAS G12C patients and 53.2% of KRAS non-G12C were female. 97% of patients with G12C mutations were former smokers as compared to 77.4% in the non-G12C group (p=0.02). Of patients with stage IV adenocarcinoma with plasma KRAS detection, 9 of 25 patients with G12C were alive at the time of data analysis (36%), while 28 of 53 (52.8%) patients with KRAS non-G12C disease were alive (p =0.23; days from metastatic diagnosis to data analysis: G12C patients: 113-608, median: 396.0; non-G12C patients: 79-2248, median: 427.5). For patients with KRAS G12C mutations, co-alterations were found in TP53 (n=12, 36.4%), as well as SNVs in ROS1 (n=2), and in ALK (n=1). In patients with non-G12C KRAS detected on plasma, co-alterations were found in TP53 (n=26, 41.9%), and PIK3CA (n=3), with additional concurrent alterations in RTKs, including one patient with EGFR K714N, one with EGFR L858R, one patient with an FGFR1 amplification, and one each with an FGFR1 and FGFR3 mutation. Alterations were also detected in MET R988C (n=1) and a MET exon 14 splice variation, with SNVs in RET (n=2), as well as in ALK, ROS1, and AKT1, with a MET as well as a RICTOR amplification in one patient each.
Conclusion: Patients with KRAS G12C mutations detected on plasma analysis were more likely to be smokers. Our data support the need for further analysis of co-alterations both in plasma and on tissue sequencing to aid the development of therapies for patients with KRAS mutations as well as to advance research on combinations of G12C inhibitors with other pathway inhibitors.
Citation Format: Yonina R. Murciano-Goroff, Emily S. Lebow, Hai-Yan Tu, Mark Li, Lee P. Lim, Kathryn C. Arbour, William Travis, David B. Solit, Marc Ladanyi, David R. Jones, Charles M. Rudin, Andres Martinez, Mackenzie L. Myers, Alexander Makhnin, Pedram Razavi, Michael D. Offin, James W. Isbell, Gregory J. Riely, David M. Hyman, Piro Lito, Bob T. Li. Characterizing KRAS G12C and other mutations in plasma ctDNA from patients with lung cancer [abstract]. In: Proceedings of the AACR Special Conference on Advancing Precision Medicine Drug Development: Incorporation of Real-World Data and Other Novel Strategies; Jan 9-12, 2020; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(12_Suppl_1):Abstract nr 12.
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Affiliation(s)
| | | | - Hai-Yan Tu
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mark Li
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Lee P. Lim
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | - Marc Ladanyi
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | | | - Pedram Razavi
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | - Piro Lito
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Bob T. Li
- Memorial Sloan Kettering Cancer Center, New York, NY
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Xu C, Tu HY, Sun YL, Li YS, Xu BF, Wang BC, Chen HJ, Wang Z, Zhou Q, Yang JJ, Wu YL. Safety of nivolumab/pembrolizumab in hepatitis B surface antigen-positive non-small cell lung cancer (NSCLC) patients. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e21670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21670 Background: Chronic hepatitis B virus infection patients are noted about 7% in Chinese population who are excluded from the clinical trials of the nivolumab or pembrolizumab in non-small cell lung cancer (NSCLC). However, in clinical practice these patients received checkpoint inhibitors as well. Limited evidence exist on the safety of the checkpoint inhibitors in hepatitis B surface antigen positive NSCLC patients. Methods: From January 1, 2018 to September 30, 2019, clinical information of advanced non-small cell lung cancer patients who received nivolumab or pembrolizumab ± chemotherapy as routine clinical practice in Guangdong Lung Cancer Institute were collected according to a standardized procedure. Gender, histology, treatment regimens, experimental test, respose rate, and adverse events were recorded. Status of hepatitis B surface antigen (HBsAg) were tested for every patient before the treatment and data of the positive patients were accessed for this research. Adverse events were assessed according to Common Terminology Criteria for Adverse Events v5.0. Results: Among 232 eligible patients, HBsAg were found positive in 17 patients(7.3%). Clinical characteristics were list in the table. The median age was 55.2 years (range 39-72) and transaminase and bilirubin of all the patients were normal before treatment. The median treatment cycle was 7 (95%CI 4.6-10.3) and the median time to discontinuation was 4.4 months (95%CI 2.8-7.1). 8 patients received anti-virus therapy including entecavir and adefovir during the treatment. Grade 1 transaminase or bilirubin elevation were noted in 6 patients during the treatment. Grade 3 transaminase and grade 4 bilirubin elevation were found in 1 patient without evidence of viral reactivation. Conclusions: Nivolumab or pembrolizumab are safety treatment options for HBsAg positive NSCLC patients. [Table: see text]
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Affiliation(s)
- Chongrui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yue-Li Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Bing-Fei Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangdong, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
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Xu C, Tu HY, Sun Y, Li YS, Xu BF, Wang BC, Chen HJ, Wang Z, Zhou Q, Yang JJ, Li C, Wu YL. A dedicated lung cancer immunotherapy outpatient clinic: The first experience in China. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e14022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e14022 Background: Immunotherapy (IO) has become the fourth pillar of clinical cancer care. There is an increasing need to the treatment of more patients for a longer period with acceptable cost and risk. We here described the development and operationalization of the first dedicated lung cancer IO outpatient clinic in China using an iterative process. Methods: The clinic is staffed by one attending physician, one medical oncologist, several nurses, and medical assistants along with a dedicated care coordinator. Patients (pts) were scheduled to visit every Thursday morning for the treatment and then visit every 2-4 weeks as per IO regimen. Written informed consent were obtained after well-informing about the IO and possible side-effects, and administration of self-purchased drugs. The minimum workup including routine general physical examinations or tests along with tests specific for IO, and toxicities was undertaken during the clinic visits. Treatments response, adverse events (AE), quality of life (QOL), and patient reported outcomes were measured/reviewed by the oncologist accordingly (CTCAE 5.0, RECIST 1.1, and iRECIST criteria). Pts can report their symptoms and be noticed/alerted during the clinic visits or between visits via electronic interfaces. All these data were integrated into the EMR database (LinkDoc) and valued as continuous documentation to support clinical decisions making, so as to improve clinical symptom management and overall QOL. Also, the pts were coached about possible symptoms and corresponding self-monitoring and management strategies. A standardized workflow was established, as well as staff education and training programs. Results: During May to December 2019, 99 pts presented at our IO clinic, and 79 received IO therapy (46 pembrolizumab, 32 nivolumab, and 1 camrelizumab). Pts on average received 3 cycles (Total: 280; range 1-11 cycles). AE were noted in 57 (72.2%) pts. All pts were well. Conclusions: This study demonstrates that our dedicated lung cancer IO clinic worked well. Therapeutic alliance of IO clinics has already been established with primarily 15 hospitals participated in. The design process and standardized workflow components will be further expanded to other cancers or conditions.
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Affiliation(s)
- Chongrui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yueli Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Bing-Fei Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Bin-Chao Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Zhen Wang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chanchan Li
- LinkDoc (Beijing) Technology Co. Ltd., Beijing, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
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Cheng J, Yao Y, Gao YE, Zhang SL, Chen HJ, Wang Z, Yan HH, Zhou Q, Tu HY, Zhang XC, Su J, Xie Z, Wu YL, Yang JJ. Next-generation sequencing of tissue and liquid rebiopsy favors post-progression outcomes of EGFR T790M-positive NSCLC patients treated with osimertinib. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e21563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21563 Background: Osimertinib is standard of care for patients with advanced non–small-cell lung cancer (NSCLC) carrying acquired epidermal growth factor receptor ( EGFR) T790M mutation. However, few studies have been conducted to investigate the impact of rebiopsy on clinical outcomes after resistance to osimertinib. We evaluated whether next-generation sequencing (NGS) of tissue and liquid rebiopsy could favor post-progression outcomes of T790M-positive advanced NSCLC patients treated with osimertinib. Methods: Immediately just after resistance to second- or further-line osimertinib, advanced NSCLC patients with acquired EGFR T790M mutation were retrospectively divided into the NGS and non-NGS groups according to whether they underwent NGS of tissue or liquid rebiopsy. The co-primary endpoints were post-progression survival (PPS) defined as the time from osimertinib resistance to subsequent-line treatment resistance, and post-progression overall survival (pOS) defined as from osimertinib resistance to death or end of the last follow-up. Multivariable analyses were done using Cox proportional hazards regression model and log-rank test. Results: Between January 2017 and July 2019, 89 patients (62 vs. 27 for the NGS and non-NGS groups respectively) were eligible for final analyses. In the NGS group, 3.2% (2/62) underwent tissue rebiopsy only, 29.0% (18/62)only had liquid rebiopsy, and 66.8% (42/62)with both tissue and liquid rebiopsy.The NGS group received more targeted or combined therapy after resistance to osimertinib (62.9% vs. 40.8%, P= 0.053). The NGS group was significantly superior to the non-NGS group in the co-primary endpoints. The median PPS was 6.1 vs. 2.7 months (hazard ratio [HR], 0.49; 95%CI, 0.30 to 0.80; 2-sided log-rank P= 0.004). Meanwhile, the median pOS was 11.7 vs. 6.8 months (HR, 0.50; 95%CI, 0.29 to 0.85, 2-sided log-rank P= 0.009). Conclusions: Providing more opportunities for individualized treatment, NGS of tissue and liquid rebiopsy favors post-progression outcomes of EGFR T790M-positive advanced NSCLC patients treated with osimertinib.
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Affiliation(s)
- Jiangtao Cheng
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - YiHui Yao
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yu-Er Gao
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shi-Ling Zhang
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhen Wang
- Guangdong General Hospital, Guangzhou, China
| | - Hong-Hong Yan
- Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong General Hospital (GGH) and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhi Xie
- Guangdong Lung Cancer Institute, Guangdong General Hospital (GGH) and Guangdong Academy of Medical Sciences; Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, GGH, School of Medicine, Southern China University of Technology, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Li BT, Michelini F, Misale S, Cocco E, Baldino L, Cai Y, Shifman S, Tu HY, Myers ML, Xu C, Mattar M, Khodos I, Little M, Qeriqi B, Weitsman G, Wilhem CJ, Lalani AS, Diala I, Freedman RA, Lin NU, Solit DB, Berger MF, Barber PR, Ng T, Offin M, Isbell JM, Jones DR, Yu HA, Thyparambil S, Liao WL, Bhalkikar A, Cecchi F, Hyman DM, Lewis JS, Buonocore DJ, Ho AL, Makker V, Reis-Filho JS, Razavi P, Arcila ME, Kris MG, Poirier JT, Shen R, Tsurutani J, Ulaner GA, de Stanchina E, Rosen N, Rudin CM, Scaltriti M. HER2-Mediated Internalization of Cytotoxic Agents in ERBB2 Amplified or Mutant Lung Cancers. Cancer Discov 2020; 10:674-687. [PMID: 32213539 PMCID: PMC7196485 DOI: 10.1158/2159-8290.cd-20-0215] [Citation(s) in RCA: 136] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 03/09/2020] [Accepted: 03/10/2020] [Indexed: 11/16/2022]
Abstract
Amplification of and oncogenic mutations in ERBB2, the gene encoding the HER2 receptor tyrosine kinase, promote receptor hyperactivation and tumor growth. Here we demonstrate that HER2 ubiquitination and internalization, rather than its overexpression, are key mechanisms underlying endocytosis and consequent efficacy of the anti-HER2 antibody-drug conjugates (ADC) ado-trastuzumab emtansine (T-DM1) and trastuzumab deruxtecan (T-DXd) in lung cancer cell lines and patient-derived xenograft models. These data translated into a 51% response rate in a clinical trial of T-DM1 in 49 patients with ERBB2-amplified or -mutant lung cancers. We show that cotreatment with irreversible pan-HER inhibitors enhances receptor ubiquitination and consequent ADC internalization and efficacy. We also demonstrate that ADC switching to T-DXd, which harbors a different cytotoxic payload, achieves durable responses in a patient with lung cancer and corresponding xenograft model developing resistance to T-DM1. Our findings may help guide future clinical trials and expand the field of ADC as cancer therapy. SIGNIFICANCE: T-DM1 is clinically effective in lung cancers with amplification of or mutations in ERBB2. This activity is enhanced by cotreatment with irreversible pan-HER inhibitors, or ADC switching to T-DXd. These results may help address unmet needs of patients with HER2-activated tumors and no approved targeted therapy.See related commentary by Rolfo and Russo, p. 643.This article is highlighted in the In This Issue feature, p. 627.
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Affiliation(s)
- Bob T Li
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
- Weill Cornell Medical College, New York, New York
| | - Flavia Michelini
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sandra Misale
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York.
| | - Emiliano Cocco
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Laura Baldino
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Yanyan Cai
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sophie Shifman
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hai-Yan Tu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Mackenzie L Myers
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Chongrui Xu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Marissa Mattar
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Inna Khodos
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Megan Little
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Besnik Qeriqi
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gregory Weitsman
- Richard Dimbleby Department of Cancer Research, King's College London, London, United Kingdom
| | - Clare J Wilhem
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | | | - Rachel A Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - David B Solit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael F Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Paul R Barber
- Richard Dimbleby Department of Cancer Research, King's College London, London, United Kingdom
- UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom
| | - Tony Ng
- Richard Dimbleby Department of Cancer Research, King's College London, London, United Kingdom
- UCL Cancer Institute, Paul O'Gorman Building, University College London, London, United Kingdom
| | - Michael Offin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - James M Isbell
- Weill Cornell Medical College, New York, New York
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David R Jones
- Weill Cornell Medical College, New York, New York
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Helena A Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | | | | | | | | | - David M Hyman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - Jason S Lewis
- Weill Cornell Medical College, New York, New York
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Radiochemistry and Molecular Imaging Probe Core, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Darren J Buonocore
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alan L Ho
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - Vicky Makker
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - Jorge S Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Pedram Razavi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - Maria E Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark G Kris
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - John T Poirier
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Junji Tsurutani
- Advanced Cancer Translational Research Institute, Department of Medical Oncology, Showa University, Tokyo, Japan
| | - Gary A Ulaner
- Weill Cornell Medical College, New York, New York
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- mProbe Inc., Rockville, Maryland
| | - Elisa de Stanchina
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Neal Rosen
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Center for Molecular-Based Therapy, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - Maurizio Scaltriti
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Center for Molecular-Based Therapy, Memorial Sloan Kettering Cancer Center, New York, New York
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Lu C, Dong XR, Zhao J, Zhang XC, Chen HJ, Zhou Q, Tu HY, Ai XH, Chen XF, An GL, Bai J, Shan JL, Wang YN, Yang SY, Liu X, Zhuang W, Wu HT, Zhu B, Xia XF, Chen RR, Gu DJ, Xu HM, Wu YL, Yang JJ. Association of genetic and immuno-characteristics with clinical outcomes in patients with RET-rearranged non-small cell lung cancer: a retrospective multicenter study. J Hematol Oncol 2020; 13:37. [PMID: 32295619 PMCID: PMC7160902 DOI: 10.1186/s13045-020-00866-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/27/2020] [Indexed: 01/05/2023] Open
Abstract
Background Rearranged during transfection (RET) has been proven to be a tumorigenic target in non-small cell lung cancers (NSCLCs). In RET-rearranged NSCLCs, molecular features and their impact on prognosis were not well illustrated, and the activity of mainstay therapeutics has not currently been well compared. Methods Patients diagnosed with NSCLCs with RET rearrangements were analyzed for concomitant mutations, tumor mutation burden (TMB), PD-L1 expression, T cell receptor repertoire and clinical outcomes with chemotherapy, immune checkpoint inhibitors (ICIs), and multikinase inhibitors (MKIs). Results Among 129 patients with RET-rearranged NSCLC who were analyzed, 41.1% (53/129) had co-occurring genetic alterations by next-generation sequencing, and concomitant TP53 mutation appeared most frequently (20/53, 37.7%). Patients with concurrent TP53 mutation (n = 15) had shorter overall survival than those without (n = 30; median, 18.4 months [95% CI, 8.6–39.1] vs 24.8 months [95% CI, 11.7–52.8]; P < 0.05). Patients with lower peripheral blood TCR diversity (n = 5) had superior overall survival compared with those with higher diversity (n = 6; median, 18.4 months [95% CI, 16.9–19.9] vs 4.8 months [95% CI, 4.5–5.3]; P = 0.035). An association with overall survival was not observed for PD-L1 expression nor for tumor mutation burden level. Median progression-free survival was not significantly different across chemotherapy, ICIs, and MKIs (median, 3.5 vs 2.5 vs 3.8 months). For patients treated with ICIs, the disease control rate was 60% (6/10) and the objective response rate was 20% (2/10). Conclusions RET-rearranged lung cancers can be heterogeneous in terms of concomitant genetic alterations. Patients with concurrent TP53 mutation or high peripheral blood TCR repertoire diversity have relatively inferior overall survival in this series. Outcomes with traditional systemic therapies in general are suboptimal.
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Affiliation(s)
- Chang Lu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiao-Rong Dong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xing-Hao Ai
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao-Feng Chen
- Oncology Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Gai-Li An
- Department of Clinical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Jun Bai
- Department of Clinical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Jin-Lu Shan
- Daping Hospital, Army medical center of PLA, Chongqing, China
| | - Yi-Na Wang
- Department of Oncology, The First Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Shuan-Ying Yang
- The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xiang Liu
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital, University of South China, Hengyang, China
| | - Wu Zhuang
- Fujian Provincial Cancer Hospital, Fuzhou, China
| | - Hui-Ta Wu
- Department of Oncology, Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Bo Zhu
- Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | | | | | - De-Jian Gu
- Geneplus-Beijing Institute, Beijing, China
| | - Hua-Min Xu
- Geneplus-Beijing Institute, Beijing, China
| | - Yi-Long Wu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China. .,Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Jin-Ji Yang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China. .,Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
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Li YS, Jiang BY, Yang JJ, Zhang XC, Zhang Z, Ye JY, Zhong WZ, Tu HY, Chen HJ, Wang Z, Xu CR, Wang BC, Du HJ, Chuai S, Han-Zhang H, Su J, Zhou Q, Yang XN, Guo WB, Yan HH, Liu YH, Yan LX, Huang B, Zheng MM, Wu YL. Unique genetic profiles from cerebrospinal fluid cell-free DNA in leptomeningeal metastases of EGFR-mutant non-small-cell lung cancer: a new medium of liquid biopsy. Ann Oncol 2019; 29:945-952. [PMID: 29346604 DOI: 10.1093/annonc/mdy009] [Citation(s) in RCA: 180] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Background Leptomeningeal metastases (LM) are more frequent in non-small-cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutations. Due to limited access to leptomeningeal lesions, the purpose of this study was to explore the potential role of cerebrospinal fluid (CSF) as a source of liquid biopsy in patients with LM. Patients and methods Primary tumor, CSF, and plasma in NSCLC with LM were tested by next-generation sequencing. In total, 45 patients with suspected LM underwent lumbar puncture, and those with EGFR mutations diagnosed with LM were enrolled. Results A total of 28 patients were enrolled in this cohort; CSF and plasma were available in 26 patients, respectively. Driver genes were detected in 100% (26/26), 84.6% (22/26), and 73.1% (19/26) of samples comprising CSF cell-free DNA (cfDNA), CSF precipitates, and plasma, respectively; 92.3% (24/26) of patients had much higher allele fractions in CSF cfDNA than the other two media. Unique genetic profiles were captured in CSF cfDNA compared with those in plasma and primary tissue. Multiple copy number variations (CNVs) were mainly identified in CSF cfDNA, and MET copy number gain identified in 47.8% (11/23) of patients was the most frequent one, while other CNVs included ERBB2, KRAS, ALK, and MYC. Moreover, loss of heterozygosity (LOH) of TP53 was identified in 73.1% (19/26) CSF cfDNA, which was much higher than that in plasma (2/26, 7.7%; P < 0.001). There was a trend towards a higher frequency of concomitant resistance mutations in patients with TP53 LOH than those without (70.6% versus 33.3%; P = 0.162). EGFR T790M was identified in CSF cfDNA of 30.4% (7/23) of patients who experienced TKI progression. Conclusion CSF cfDNA could reveal the unique genetic profiles of LM and should be considered as the most representative liquid biopsy medium for LM in EGFR-mutant NSCLC.
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Affiliation(s)
- Y S Li
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - B Y Jiang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - J J Yang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - X C Zhang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Z Zhang
- Burning Rock Biotech, Guangzhou, China
| | - J Y Ye
- Burning Rock Biotech, Guangzhou, China
| | - W Z Zhong
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - H Y Tu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - H J Chen
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Z Wang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - C R Xu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - B C Wang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - H J Du
- Department of Pulmonology, General Hospital of Guangzhou Military Command, Guangzhou, China
| | - S Chuai
- Burning Rock Biotech, Guangzhou, China
| | | | - J Su
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Q Zhou
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - X N Yang
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - W B Guo
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - H H Yan
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Y H Liu
- Department of Pathology, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - L X Yan
- Department of Pathology, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - B Huang
- Department of Radiology, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - M M Zheng
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Y L Wu
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cance, Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China.
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Wang Z, Yang JJ, Tu HY, Yan HH, Wu YL. Retrospective study on bevacizumab in the treatment of non-small cell lung cancer with brain metastases. Int J Clin Oncol 2019; 25:267-273. [PMID: 31587134 DOI: 10.1007/s10147-019-01552-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 09/20/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Bevacizumab was demonstrated to have efficacy in patients with non-small cell lung cancer (NSCLC) and brain metastases. However, cerebral toxicities were a major concern. This study aims to investigate the efficacy and risk factors of toxicity of bevacizumab in brain metastases. METHODS All patients with advanced NSCLC hospitalized in our institute were screened and only those, who underwent bevacizumab administration after the diagnosis of brain metastases, were included. RESULTS Fifty-one patients, who were treatment naïve or pretreated prior to bevacizumab regimens, were enrolled. Regardless of treatment lines, the objective response rate (ORR) was 62.7% (32/51), progression free survival (PFS) and overall survival were 6.2 months (95%CI, 5.0-7.4) and 14.0 months (95%CI, 9.6-18.4), respectively, and intracranial PFS was 7.8 months (95%CI, 7.1-8.5). For 41 patients with measurable brain metastatic lesions, the intracranial ORR was 46.3% (19/41). Ten patients (19.6%, 10/51) experienced cerebral toxicities (seven cases of grade 1 and three cases of grade 3), including cerebral or intratumoral hemorrhage and ischemic stroke. Cardiovascular disease was the risk factor contributing to cerebral toxicities (OR 16.645; 95%CI, 2.443-113.430; P = 0.004). CONCLUSIONS This retrospective study shows that bevacizumab has efficacy and favorable toxicity in patients with NSCLC and brain metastases and cardiovascular disease might be a risk factor for cerebral toxicity.
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Affiliation(s)
- Zhen Wang
- Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangdong Lung Cancer Institute, 106 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China
| | - Jin-Ji Yang
- Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangdong Lung Cancer Institute, 106 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China
| | - Hai-Yan Tu
- Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangdong Lung Cancer Institute, 106 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China
| | - Hong-Hong Yan
- Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangdong Lung Cancer Institute, 106 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China
| | - Yi-Long Wu
- Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangdong Lung Cancer Institute, 106 Zhongshan 2nd Road, Guangzhou, 510080, People's Republic of China.
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49
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Zhang JT, Qin H, Man Cheung FK, Su J, Zhang DD, Liu SY, Li XF, Qin J, Lin JT, Jiang BY, Song Dong, Liao RQ, Qiang N, Yang XN, Tu HY, Zhou Q, Yang JJ, Zhang XC, Zhang YN, Wu YL, Zhong WZ. Plasma extracellular vesicle microRNAs for pulmonary ground-glass nodules. J Extracell Vesicles 2019; 8:1663666. [PMID: 31579436 PMCID: PMC6758624 DOI: 10.1080/20013078.2019.1663666] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 08/08/2019] [Accepted: 08/23/2019] [Indexed: 12/19/2022] Open
Abstract
In this study, we evaluated the diagnostic value and molecular characteristics of plasma extracellular vesicles (EVs)-derived miRNAs for patients with solitary pulmonary nodules (SPNs), particularly ground-glass nodules (GGNs). This study was registered at www.clinicaltrials.gov under registration number NCT03230019. Small RNA sequencing was performed to assess plasma EVs miRNAs in 59 patients, including 12 patients with benign nodules (2017, training set). MiRNA profiles of 40 an additional individuals were sequenced (2018, validation set). Overall, 16 pure GGNs, 21 mixed GGNs, and 42 solid nodules were included, with paired post-operative plasma samples available for 20 patients. The target miRNA/reference miRNA ratio was used to construct a support vector machine (SVM) model. The SVM model with the best specificity showed 100% specificity in both the training and validation sets independently. The model with the best sensitivity showed 100% and 96.9% sensitivity in the training and validation sets, respectively. Principal component analysis revealed that pure GGN distributions were distinct from those of solid nodules, and mixed GGNs had a diffuse distribution. Among differentially expressed miRNAs, miR-500a-3p, miR-501-3p, and miR-502-3p were upregulated in tumor tissues and enhanced overall survival. The SVM classifier accurately distinguished malignant GGNs and benign nodules. The distinct profile characteristics of miRNAs provided insights into the feasibility of EVs miRNAs as prognostic factors in lung cancer.
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Affiliation(s)
- Jia-Tao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Hao Qin
- Research and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China
| | - Fiona Ka Man Cheung
- School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Da-Dong Zhang
- Research and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China
| | - Shi-Yi Liu
- Research and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China
| | - Xiao-Fang Li
- Research and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China
| | - Jing Qin
- Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.,School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Jun-Tao Lin
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Ben-Yuan Jiang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Song Dong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Ri-Qiang Liao
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Nie Qiang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Xue-Ning Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Ya-Nan Zhang
- Research and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangdong Key Laboratory of Lung Cancer Translational Medicine, Guangzhou, China
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Lu C, Cheng JT, Kang J, Yao YH, Li XM, Zhang X, Zhou Q, Tu HY, Wu YL, Yang JJ. Clinical outcomes of NSCLC patients with acquired RET rearrangement after resistance to osimertinib. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.e20626] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20626 Background: Resistance mechanisms to osimertinib have raised growing concerns, but those with acquired RET rearrangement is poorly characterized. Methods: We retrospectively identified advanced, EGFR-mutant NSCLC (non-small-cell lung cancer) patients treated with osimertinib between April 9th, 2015 and November 1st, 2018 at our institute. Clinicopathologic features and clinical outcomes were analyzed. Subsequent genetic profiling was performed at the time of progression by next-generation sequencing (NGS). Overall survival (OS) since 1st line treatment was calculated from first-line treatment start to death or last follow up, and OS post-progression was calculated from osimertinib progression. Median follow-up time was 43.4 months. Results: In the 192 patients treated with osimertinib, 57 had follow-up NGS information after progression, and six harboured acquired RET rearrangement (11%, 6/57). For patients with RET rearrangements when progressed on osimertinib, OS since 1st line treatment (22.9m vs 59.5m, P = 0.021) and OS post-progression (2.1m vs 10.0m, P = 0.031) were significantly shorter compared with non- RET-rearranged cases, whereas no significant difference was found in demographics at the initial lung cancer diagnosis or progression-free survival (PFS) of osimertinib (12.1m vs 5.8m, P = 0.34). Among these six patients, one received best supportive care, two continued to use drugs targeting EGFR but deteriorating soon, three patients tried osimertinib combined with cabozantinib with one benefit from this combination approach. Conclusions: RET rearrangements could exist in EGFR-mutant NSCLC with acquired resistance to osimertinib and linked to inferior survival. Study on the molecular evolution and heterogeneity during treatment course are warranted for further therapeutic strategies. [Table: see text]
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Affiliation(s)
- Chang Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jia-Tao Cheng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin Kang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yi-Hui Yao
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiang-Meng Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xuchao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hai-Yan Tu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, China
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