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Zhong H, Sun S, Chen J, Wang Z, Zhao Y, Zhang G, Chen G, Zhou M, Zhou J, Du Y, Wu L, Xu Z, Mei X, Zhang W, He J, Cui J, Zhang Z, Luo H, Liu W, Sun M, Wu J, Shen Y, Zhang S, Yang N, Wang M, Lu J, Li K, Yao W, Sun Q, Yue H, Wang L, Ye S, Li B, Zhuang X, Pan Y, Zhang M, Shu Y, He Z, Pan L, Ling Y, Liu S, Zhang Q, Jiao S, Han B. First-line penpulimab combined with paclitaxel and carboplatin for metastatic squamous non-small-cell lung cancer in China (AK105-302): a multicentre, randomised, double-blind, placebo-controlled phase 3 clinical trial. Lancet Respir Med 2024; 12:355-365. [PMID: 38309287 DOI: 10.1016/s2213-2600(23)00431-9] [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] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 10/19/2023] [Accepted: 11/09/2023] [Indexed: 02/05/2024]
Abstract
BACKGROUND Penpulimab is a novel programmed death (PD)-1 inhibitor. This study aimed to establish the efficacy and safety of first line penpulimab plus chemotherapy for advanced squamous non-small-cell lung cancer. METHODS This multicentre, randomised, double-blind, placebo-controlled, phase 3 clinical trial enrolled patients with locally advanced or metastatic squamous non-small-cell lung cancer from 74 hospitals in China. Eligible participants were aged 18-75 years, had histologically or cytologically confirmed locally advanced (stage IIIb or IIIc) or metastatic (stage IV) squamous non-small-cell lung cancer, were ineligible to complete surgical resection and concurrent or sequential chemoradiotherapy, had an Eastern Cooperative Oncology Group (ECOG) performance status of 0-1, did not have previous systemic chemotherapy for locally advanced or metastatic non-small-cell lung cancer, and had one or more measurable lesions according to RECIST (version 1.1). Participants were randomly assigned (1:1) to receive intravenous penpulimab 200 mg or placebo (excipient of penpulimab injection), plus paclitaxel 175 mg/m2 and carboplatin AUC of 5 intravenously on day 1 every 3 weeks for four cycles, followed by penpulimab or placebo as maintenance therapy. Stratification was done according to the PD-L1 tumour proportion score (<1% vs 1-49% vs ≥50%) and sex (male vs female). The participants, investigators, and other research staff were masked to group assignment. The primary outcome was progression-free survival assessed by the masked Independent Radiology Review Committee in the intention-to-treat population and patients with a PD-L1 tumour proportion score of 1% or more (PD-L1-positive subgroup). The primary analysis was based on the intention-to-treat analysis set (ie, all randomly assigned participants) and the PD-L1-positive subgroup. The safety analysis included all participants who received at least one dose of study drug after enrolment. This trial was registered with ClinicalTrials.gov (NCT03866993). FINDINGS Between Dec 20, 2018, and Oct 10, 2020, 485 patients were screened, and 350 participants were randomly assigned (175 in the penpulimab group and 175 in the placebo group). Of 350 participants, 324 (93%) were male and 26 (7%) were female, and 347 (99%) were of Han ethnicity. In the final analysis (June 1, 2022; median follow-up, 24·7 months [IQR 0-41·4]), the penpulimab group showed an improved progression-free survival compared with the placebo group, both in the intention-to-treat population (median 7·6 months, 95% CI 6·8--9·6 vs 4·2 months, 95% CI 4·2-4·3; HR 0·43, 95% CI 0·33-0·56; p<0·0001) and in the PD-L1-positive subgroup (8·1 months, 5·7-9·7 vs 4·2 months, 4·1-4·3; HR 0·37, 0·27-0·52, p<0·0001). Grade 3 or worse treatment-emergent adverse events occurred in 120 (69%) 173 patients in the penpulimab group and 119 (68%) of 175 in the placebo group. INTERPRETATION Penpulimab plus chemotherapy significantly improved progression-free survival in patients with advanced squamous non-small-cell lung cancer compared with chemotherapy alone. The treatment was safe and tolerable. Penpulimab combined with paclitaxel and carboplatin is a new option for first-line treatment in patients with this advanced disease. FUNDING The National Natural Science Foundation of China, Shanghai Municipal Health Commission, Chia Tai Tianqing Pharmaceutical, Akeso.
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Affiliation(s)
- Hua Zhong
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengjie Sun
- Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Jianhua Chen
- Department of Thoracic Oncology, Hunan Cancer Hospital, Changsha, China
| | - Ziping Wang
- Department of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yanqiu Zhao
- Department of Oncology, Henan Cancer Hospital, Zhengzhou, China
| | - Guojun Zhang
- Department of Respiratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Gongyan Chen
- First Ward of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Ming Zhou
- Department of Thoracic Surgery, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Jianying Zhou
- Department of Respiratory, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yingying Du
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lin Wu
- Department of Thoracic Oncology, Hunan Cancer Hospital, Changsha, China
| | - Zhi Xu
- Department of Respiratory, Xinqiao Hospital of Army Medical University, Chongqing, China
| | - Xiaodong Mei
- Department of Respiratory and Critical Care Medicine, Anhui Provincial Hospital, Heifei, China
| | - Weidong Zhang
- Department of Respiratory, Hunan Provincial People's Hospital, Changsha, China
| | - Jingdong He
- Department of Oncology, Huai'an First People's Hospital, Huai'an, China
| | - Jiuwei Cui
- Department of Oncology, The First Hospital of Jilin University, Changchun, China
| | - Zhihong Zhang
- Department of Respiratory, Anhui Cancer Hospital, Hefei, China
| | - Hui Luo
- Department of Thoracic Oncology Radiotherapy, Jiangxi Cancer Hospital, Nanchang, China
| | - Weiyou Liu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital, Jinan, China
| | - Jingxun Wu
- Department of Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Yongchun Shen
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Shucai Zhang
- Department of Oncology, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Nong Yang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital, Changsha, China
| | - Mengzhao Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Junguo Lu
- Department of Respiratory, Nantong Tumor Hospital, Nantong, China
| | - Kai Li
- Department of Thoracic Oncology, Tianjin Medical University Cancer Hospital, Tianjin, China
| | - Weirong Yao
- Department of Oncology, Jiangxi Provincial People's Hospital, Nanchang, China
| | - Qian Sun
- Department of Oncology, Henan Provincial Chest Hospital, Zhengzhou, China
| | - Hongmei Yue
- Department of Respiratory and Critical Care Medicine, The First Hospital of Lanzhou University, Lanzhou, China
| | - Lin Wang
- Department of Oncology, Hainan General Hospital, Haikou, China
| | - Sheng Ye
- Department of Oncology, The First Affiliated Hospital of Sun Yat sen University, Guangzhou, China
| | - Bin Li
- Department of Oncology, Xiangya Hospital of Central South University, Changsha, China
| | - Xibin Zhuang
- Department of Respiratory and Critical Care Medicine, Quanzhou First Hospital, Quanzhou, China
| | - Yueyin Pan
- Department of Chemotherapy Oncology, Anhui Provincial Hospital, Hefei, China
| | - Min Zhang
- Department of Respiratory and Critical Care Medicine, Ganzhou People's Hospital, Ganzhou, China
| | - Yongqian Shu
- Department of Oncology, Jiangsu Province Hospital, Nanjing, China
| | - Zhiyong He
- Department of Thoracic Oncology, Fujian Cancer Hospital, Fuzhou, China
| | - Lei Pan
- Department of Respiratory and Critical Care Medicine, Beijing Shijitan Hospital, CMU, Beijing, China
| | - Yang Ling
- Department of Oncology, Changzhou Cancer Hospital, Changzhou, China
| | - Shengming Liu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qi Zhang
- Department of Respiratory, The First Hospital of Jiaxing, Jiaxing, China
| | - Shunchang Jiao
- Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
| | - Baohui Han
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Guo D, Zhang C, Zhang M, Wu Z, Liu X, Zhang Y, Liu L, Sun M, Yang J. Metabolic score for insulin resistance predicts major adverse cardiovascular event in premature coronary artery disease. Aging (Albany NY) 2024; 16:6364-6383. [PMID: 38568104 PMCID: PMC11042949 DOI: 10.18632/aging.205710] [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: 10/30/2023] [Accepted: 03/09/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND The Metabolic Score for Insulin Resistance (METS-IR) index serves as a simple surrogate marker for insulin resistance (IR) and is associated with the presence and severity of coronary artery disease (CAD). However, the prognostic significance of METS-IR in patients with premature CAD remains unclear. This study aims to investigate the prognostic value of METS-IR in premature CAD. METHODS This retrospective study included 582 patients diagnosed with premature CAD between December 2012 and July 2019. The median follow-up duration was 63 months (interquartile range, 44-81 months). The primary endpoint was Major Adverse Cardiovascular Events (MACE), defined as a composite of all-cause death, non-fatal myocardial infarction (MI), repeat coronary artery revascularization, and non-fatal stroke. RESULTS Patients with MACE had significantly higher METS-IR levels than those without MACE (44.88±8.11 vs. 41.68±6.87, p<0.001). Kaplan-Meier survival curves based on METS-IR tertiles demonstrated a statistically significant difference (log-rank test, p<0.001). In the fully adjusted model, the Hazard Ratio (95% CI) for MACE was 1.41 (1.16-1.72) per SD increase in METS-IR, and the P for trend based on METS-IR tertiles was 0.001 for MACE. Time-dependent Receiver Operator Characteristic (ROC) analysis of METS-IR yielded an Area Under the Curve (AUC) of 0.74 at 2 years, 0.69 at 4 years, and 0.63 at 6 years. CONCLUSIONS METS-IR serves as a reliable prognostic predictor of MACE in patients with premature CAD. Therefore, METS-IR may be considered a novel, cost-effective, and dependable indicator for risk stratification and early intervention in premature CAD.
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Affiliation(s)
- Dachuan Guo
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Chong Zhang
- Department of Internal Medicine, Jiyang District Traditional Chinese Medicine Hospital, Jinan, China
| | - Mingyan Zhang
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
| | - Zhenguo Wu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoyu Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
- Department of Cardiology, People Hospital of Huantai County, Zibo, China
| | - Yerui Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Li Liu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Meili Sun
- Department of Cardiology, People Hospital of Huantai County, Zibo, China
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Cardiovascular Disease Research Center of Shandong First Medical University, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jianmin Yang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
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Zheng X, Fang M, Fan Y, Sun Y, Sun M, Yang A, Zhang B, Liu Q, Liu H, Zhou X, Huang T, Qin J, Wang Z, Qin M, Shen Z, Yao S, Yang J, Wang Y, Gao M. Efficacy and safety of pralsetinib in Chinese advanced RET-mutant medullary thyroid cancer patients. Endocr Relat Cancer 2024; 31:e230134. [PMID: 38261313 DOI: 10.1530/erc-23-0134] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 01/23/2024] [Indexed: 01/24/2024]
Abstract
Pralsetinib has demonstrated efficacious activity in various solid tumors, including medullary thyroid cancer (MTC), as observed in the phase 1/2 global ARROW study (BLU-667-1101; NCT03037385). We evaluated the safety and efficacy of pralsetinib in Chinese patients with advanced RET-mutant MTC. In the extension cohort of ARROW, adult patients with advanced MTC, who had not received systemic therapy (except for cytotoxic chemotherapy), were treated with pralsetinib (400 mg once daily, orally). The primary endpoints were blinded independent central-reviewed (BICR) objective response rate (ORR) and safety. Between October 9, 2019, and April 29, 2020, 34 patients were enrolled at 12 centers across China. Among them, 28 patients tested positive for RET mutations in the central laboratory, and 26 of these, with measurable disease at baseline per BICR, were included in the analysis set for tumor response. As of April 12, 2021 (data cutoff), the ORR was 73.1% (95% CI: 52.2-88.4), and the median duration of response was not reached. The most common (≥15%) grade ≥3 treatment-related adverse events (TRAEs) in the 28 patients with RET-mutant MTC were neutrophil count decreased (8/28, 28.6%), blood creatine phosphokinase increased (6/28, 21.4%), and lymphocyte count decreased (5/28, 17.9%). Serious TRAEs were reported by six patients (21.4%), with the most common event being pneumonia (3/28, 10.7%). No patient discontinued treatment or died from pralsetinib-related adverse events. Pralsetinib demonstrated broad, deep, and durable efficacy, as well as a manageable and acceptable safety profile in Chinese patients with advanced RET-mutant MTC.
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Affiliation(s)
- Xiangqian Zheng
- Thyroid Neck Oncology Department, Tianjin Medical University Cancer Institute & Hospital, Tianjin, Tianjin, China
| | - Meiyu Fang
- Department of Thoracic Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Yun Fan
- Department of Thoracic Oncology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Yuping Sun
- Department of Oncology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Ankui Yang
- Head and Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Bin Zhang
- Head and Neck Surgery Department, Beijing Cancer Hospital, Beijing, Beijing, China
| | - Qinjiang Liu
- Head and Neck Surgery, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, China
| | - Hui Liu
- Head and Neck Oncology Surgical Department, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, China
| | - Xiaohong Zhou
- Head and Neck Surgery, Chongqing Cancer Hospital, Chongqing, Chongqing, China
| | - Tao Huang
- Breast and Thyroid Surgery, Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianwu Qin
- Head and Neck Surgery, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Zhaohui Wang
- Head and Neck Surgery Department, Sichuan Cancer Hospital & Institute, Chengdu, Sichuan, China
| | - Mengmeng Qin
- Clinical Department, CStone Pharmaceuticals (Suzhou) Co., Ltd., Suzhou, Jiangsu, China
| | - Zhenwei Shen
- Clinical Department, CStone Pharmaceuticals (Suzhou) Co., Ltd., Suzhou, Jiangsu, China
| | - Sheng Yao
- Clinical Department, CStone Pharmaceuticals (Suzhou) Co., Ltd., Suzhou, Jiangsu, China
| | - Jason Yang
- Clinical Department, CStone Pharmaceuticals (Suzhou) Co., Ltd., Suzhou, Jiangsu, China
| | - Yu Wang
- Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, Shanghai, China
| | - Ming Gao
- Thyroid Neck Oncology Department, Tianjin Medical University Cancer Institute & Hospital, Tianjin, Tianjin, China
- Department of Breast and Thyroid Surgery, Tianjin Union Medical Center, Tianjin, Tianjin, China
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Qiu S, Sun M, Xu Y, Hu Y. Integrating multi-omics data to reveal the effect of genetic variant rs6430538 on Alzheimer's disease risk. Front Neurosci 2024; 18:1277187. [PMID: 38562299 PMCID: PMC10982421 DOI: 10.3389/fnins.2024.1277187] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Introduction Growing evidence highlights a potential genetic overlap between Alzheimer's disease (AD) and Parkinson's disease (PD); however, the role of the PD risk variant rs6430538 in AD remains unclear. Methods In Stage 1, we investigated the risk associated with the rs6430538 C allele in seven large-scale AD genome-wide association study (GWAS) cohorts. In Stage 2, we performed expression quantitative trait loci (eQTL) analysis to calculate the cis-regulated effect of rs6430538 on TMEM163 in both AD and neuropathologically normal samples. Stage 3 involved evaluating the differential expression of TMEM163 in 4 brain tissues from AD cases and controls. Finally, in Stage 4, we conducted a transcriptome-wide association study (TWAS) to identify any association between TMEM163 expression and AD. Results The results showed that genetic variant rs6430538 C allele might increase the risk of AD. eQTL analysis revealed that rs6430538 up-regulated TMEM163 expression in AD brain tissue, but down-regulated its expression in normal samples. Interestingly, TMEM163 showed differential expression in entorhinal cortex (EC) and temporal cortex (TCX). Furthermore, the TWAS analysis indicated strong associations between TMEM163 and AD in various tissues. Discussion In summary, our findings suggest that rs6430538 may influence AD by regulating TMEM163 expression. These discoveries may open up new opportunities for therapeutic strategies targeting AD.
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Affiliation(s)
- Shizheng Qiu
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Meili Sun
- Beidahuang Industry Group General Hospital, Harbin, China
| | - Yanwei Xu
- Beidahuang Group Neuropsychiatric Hospital, Jiamusi, China
| | - Yang Hu
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
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Wang M, Fan Y, Sun M, Wang Y, Zhao Y, Jin B, Hu Y, Han Z, Song X, Liu A, Tang K, Ding C, Liang L, Wu L, Gao J, Wang J, Cheng Y, Zhou J, He Y, Dong X, Yao Y, Yu Y, Wang H, Sun S, Huang J, Fang J, Li W, Wang L, Ren X, Zhou C, Hu Y, Zhao D, Yang R, Xu F, Huang Y, Pan Y, Cui J, Xu Y, Yang Z, Shi Y. Sunvozertinib for patients in China with platinum-pretreated locally advanced or metastatic non-small-cell lung cancer and EGFR exon 20 insertion mutation (WU-KONG6): single-arm, open-label, multicentre, phase 2 trial. Lancet Respir Med 2024; 12:217-224. [PMID: 38101437 DOI: 10.1016/s2213-2600(23)00379-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/28/2023] [Accepted: 10/09/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Sunvozertinib is an oral, irreversible, and selective tyrosine kinase inhibitor that has a favourable safety profile and encouraging antitumour activity, as shown in phase 1 studies of patients with heavily pretreated non-small cell lung cancer (NSCLC) with EGFR exon 20 insertion mutation (exon20ins). We aimed to assess the antitumour efficacy of sunvozertinib in patients with platinum-pretreated locally advanced or metastatic NSCLC with EGFR exon20ins. METHODS WU-KONG6 is a single-group, open-label, multicentre phase 2 trial of sunvozertinib monotherapy, conducted across 37 medical centres in China. We enrolled adult patients with pathologically or cytologically confirmed locally advanced or metastatic NSCLC whose tumour tissue carried an EGFR exon20ins mutation. All patients had received at least one line of previous systemic therapy, with at least one line containing platinum-based chemotherapy. The primary endpoint was objective response rate (ORR), as assessed by the independent review committee. The ORR was defined as the percentage of patients who achieved complete or partial response, confirmed by two separate assessments with at least 4-week time interval, until disease progression or initiation of any new anti-cancer therapy. Enrolled patients received sunvozertinib 300 mg once daily until meeting discontinuation criteria per the protocol. Patients who received at least one dose of treatment and were evaluable for efficacy analysis were included in the primary analysis, and all patients who received at least one dose of treatment were included in the safety analysis. This study is registered with ChinaDrugTrials.org, CTR20211009, and ClinicalTrials.gov, NCT05712902, and efficacy and safety follow-up are ongoing. FINDINGS Between July 19, 2021, and May 6, 2022, 104 patients were enrolled. At data cutoff (Oct 17, 2022), the last enrolled patient had been followed up for about 6 months. Among 97 patients evaluable for efficacy analysis, 59 (61%) patients achieved tumour response, with a confirmed ORR of 61% (95% CI 50-71). All tumour responses were partial responses. Tumour responses were observed irrespective of age, sex, smoking history, EGFR exon20ins subtypes, brain metastasis at baseline, previous lines of therapy, and history of onco-immunotherapy. In total, 19 death events occurred over a median follow-up period of 7·6 months (IQR 6·1-9·4). Sunvozertinib was well tolerated at 300 mg once daily. The most common grade 3 or worse treatment-related adverse events were blood creatine phosphokinase increased (18 [17%] of 104), diarrhoea (eight [8%]), and anaemia (six [6%]). The most common serious treatment-related adverse events were interstitial lung disease (five [5%] of 104), anaemia (three [3%]), vomiting (two [2%]), nausea (two [2%]) and pneumonia (two [2%]). INTERPRETATION In this phase 2 study, sunvozertinib demonstrated antitumour efficacy in patients with platinum-based chemotherapy pretreated NSCLC with EGFR exon20ins, with a manageable safety profile. A multinational randomised, phase 3 study of sunvozertinib versus platinum-doublet chemotherapy in EGFR exon20ins NSCLC is ongoing (NCT05668988). FUNDING Dizal Pharmaceutical.
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Affiliation(s)
- Mengzhao Wang
- Peking Union Medical College Hospital, Beijing, China.
| | - Yun Fan
- Zhejiang Cancer Hospital, Hangzhou, China
| | - Meili Sun
- Jinan Central Hospital, Jinan, China
| | - Yongsheng Wang
- West China Hospital of Sichuan University, Chengdu, China
| | - Yanqiu Zhao
- Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Bo Jin
- The First Hospital of China Medical University, Shenyang, China
| | - Ying Hu
- Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Zhigang Han
- The Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang, China
| | - Xia Song
- Shanxi Provincial Cancer Hospital, Taiyuan, China
| | - Anwen Liu
- The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kejing Tang
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Cuimin Ding
- The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Li Liang
- Peking University Third Hospital, Beijing, China
| | - Lin Wu
- Hunan Cancer Hospital, Changsha, China
| | - Junzhen Gao
- The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | | | | | - Jianying Zhou
- The First Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Yong He
- Army Medical Center of PLA, Chongqing, China
| | - Xiaorong Dong
- Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yao
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yan Yu
- Harbin Medical University Cancer Hospital, Harbin, China
| | - Huijie Wang
- Fudan University Shanghai Cancer Center, Shanghai, China
| | - Si Sun
- Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jianan Huang
- The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jian Fang
- Beijing Cancer Hospital, Beijing, China
| | - Wen Li
- The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Wang
- Hainan General Hospital, Haikou, China
| | - Xiubao Ren
- Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Chengzhi Zhou
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Dahai Zhao
- The Second Hospital of Anhui Medical University, Hefei, China
| | | | - Fei Xu
- The First Affiliated Hospital of Nanchang University, Nanchang, China
| | | | | | - Jiuwei Cui
- The Bethune First Hospital of Jilin University, Changchun, China
| | - Yan Xu
- Peking Union Medical College Hospital, Beijing, China
| | | | - Yuankai Shi
- Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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He M, Wang D, Li H, Sun M, Yan P, Zhang Y, Li L, Yu D, Wang X, Hu Y. Value of CT-based radiomics in evaluating the response of bone metastases to systemic drug therapy in breast cancer patients. Thorac Cancer 2024; 15:361-368. [PMID: 38155425 PMCID: PMC10864122 DOI: 10.1111/1759-7714.15199] [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: 09/26/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND This study aimed to investigate the value of nonenhanced computed tomography (CT)-based radiomics in determining disease progression in breast cancer patients with bone marrow metastases and to develop a model for assessing treatment efficacy. METHODS A total of 134 breast cancer patients with bone metastases were enrolled from three hospitals. Nonenhanced CT was performed after two cycles of drug treatment. The images were categorized into an invalid and a valid group according to disease progression status. The largest osteolytic lesions' maximum cross-sections in the CT images were selected as regions of interest (ROIs) for feature extraction. Variance threshold, SelectKBest, and least absolute shrinkage and selection operator (LASSO) were used to reduce feature dimensionality. K-nearest neighbor algorithm (KNN), support vector machine (SVM), extreme gradient boosting (XGBoost), random forest (RF), logistic regression (LR), and decision tree (DT) algorithms were trained to establish radiomics models. Receiver operating characteristic (ROC) curves were generated to evaluate the diagnostic performance of the models. RESULTS The KNN classifier demonstrated the best performance compared to the random grouping method. In the validation group, the area under the ROC curve (AUC) was 0.810. In the cross-validation method, the RF classifier showed the best performance with an AUC of 0.84. CONCLUSION Nonenhanced CT-based radiomics provides a promising method for evaluating the efficacy of systemic drug therapy in breast cancer patients with osteolytic bone metastases.
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Affiliation(s)
- Miao He
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
- Department of Medical OncologyQilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong UniversityQingdaoChina
| | - Dongdong Wang
- Department of RadiologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Huijie Li
- Department of OncologyAffiliated Hospital of Shandong University of Traditional Chinese MedicineJinanChina
| | - Meili Sun
- Department of OncologyJinan Central Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
- Department of OncologyCentral Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Peng Yan
- Department of OncologyJinan Central Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
- Department of OncologyCentral Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Yongyuan Zhang
- Department of Medical AffairsQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Li Li
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Dexin Yu
- Department of RadiologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Xiuwen Wang
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Yu Hu
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
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Hu JR, Li JM, Wang HY, Sun ML, Huang CY, Wang HC. Analysis of growth dynamics in five different media and metabolic phenotypic characteristics of Piriformospora indica. Front Microbiol 2024; 14:1301743. [PMID: 38260913 PMCID: PMC10800966 DOI: 10.3389/fmicb.2023.1301743] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/13/2023] [Indexed: 01/24/2024] Open
Abstract
Piriformospora indica is an important endophytic fungus with broad potential for alleviating biotic and abiotic stress on host plants. This study monitored the growth dynamics of P. indica on five commonly used artificial media for microorganisms and analyzed its metabolic characteristics using Biolog Phenotype Microarray (PM) technology. The results showed that P. indica grew fastest on Potato Dextrose Agar (PDA), followed by Kidney Bean Agar (KBA), Alkyl Ester Agar (AEA), Oatmeal Agar (OA), and Luria-Bertani Agar (LB), and the most suitable medium for spore production was OA. Using Biolog PM1-10, 950 metabolic phenotypes of P. indica were obtained. P. indica could metabolize 87.89% of the tested carbon sources, 87.63% of the tested nitrogen sources, 96.61% of the tested phosphorus sources, and 100% of the tested sulfur sources. P. indica displayed 92 kinds of tested biosynthetic pathways, and it could grow under 92 kinds of tested osmotic pressures and 88 kinds of tested pH conditions. PM plates 1-2 revealed 43 efficient carbon sources, including M-Hydroxyphenyl acid, N-Acetyl-D-Glucosamine, Tyramine, Maltotrios, α-D-Glucosine, I-Erythritol, L-Valine, D-Melezitose, D-Tagatose, and Turanose. PM plates 3,6-8 indicated 170 efficient nitrogen sources, including Adenosine, Inosine Allantoin, D, L-Lactamide, Arg-Met, lle-Trp, Ala-Arg, Thr-Arg, Trp-Tyr, Val-Asn, Gly-Gly-D-Leu, Gly-Gly-Phe, and Leu-Leu-Leu. This study demonstrates that P. indica can metabolize a variety of substrates, such as carbon and nitrogen sources, and has a wide range of environmental adaptability. The growth dynamics on artificial culture media and metabolic phenotypes of P. indica can be used to investigate its biological characteristics, screen for more suitable growth and sporulation conditions, and elucidate the physiological mechanisms that enhance the stress resistance of host plants. This study provides a theoretical basis for its better application in agriculture.
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Affiliation(s)
- Jing-rong Hu
- Institute of Advanced Agricultural Science, Hubei University of Arts and Science, Xiangyang, Hubei, China
- College of Agriculture, Yangtze University, Jingzhou, China
| | - Jin-meng Li
- College of Agriculture, Yangtze University, Jingzhou, China
| | - Hai-yan Wang
- Institute of Advanced Agricultural Science, Hubei University of Arts and Science, Xiangyang, Hubei, China
| | - Mei-li Sun
- College of Agriculture, Yangtze University, Jingzhou, China
| | - Chun-yang Huang
- Guizhou Provincial Tobacco Company, Zunyi Branch, Zunyi, China
| | - Han-cheng Wang
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, Guizhou, China
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Zhou C, Wang Z, Sun M, Cao L, Ma Z, Wu R, Yu Y, Yao W, Sun S, Chen J, Zhuang W, Cui J, Chen X, Lu Y, Shen H, Hu C, Liu J, Liu Y, Wang M, Li X, Sun P, Shu Y, Zhou J, Li J, Gu K, Wang C, Zhao H, Zhang Y, Liu C, Wang J, Chen R, Qin M, Wang H, Yang J. Author Correction: Interim survival analysis of the randomized phase III GEMSTONE-302 trial: sugemalimab or placebo plus chemotherapy as first-line treatment for metastatic NSCLC. Nat Cancer 2024; 5:209. [PMID: 38182915 DOI: 10.1038/s43018-023-00719-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2024]
Affiliation(s)
- Caicun Zhou
- Department of Oncology, Shanghai Pulmonary Hospital, School of Medicine Tongji University, Shanghai, China.
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital Affiliated to Shandong University, Jinan, China
| | - Lejie Cao
- Department of Respiratory Medicine, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China
| | - Zhiyong Ma
- Department of Respiratory Medicine, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Rong Wu
- Department of Oncology, Shengjing Hospital of China Medical University, Huaxiang Branch Hospital, Shenyang, China
| | - Yan Yu
- Department of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Wenxiu Yao
- Thoracic Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China
| | - Si Sun
- Department of Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China
| | - Jianhua Chen
- Department of Thoracic Oncology, Hunan Cancer Hospital, Changsha, China
| | - Wu Zhuang
- Department of Thoracic Oncology, Fujian Provincial Cancer Hospital, Fuzhou, China
| | - Jiuwei Cui
- Pharmacology Base, The First Hospital of Jilin University, Changchun, China
| | - Xueqin Chen
- Department of Thoracic Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Zhejiang University Cancer Centre, Hangzhou, China
| | - You Lu
- Department of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Shen
- Department of Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Chunhong Hu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jiwei Liu
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yunpeng Liu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Mengzhao Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xingya Li
- Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ping Sun
- Department of Oncology, Yantai Yuhuangding Hospital, Yantai, China
| | - Yongqian Shu
- Medical Oncology, Jiangsu Province Hospital, Nanjing, China
| | - Jianying Zhou
- Department of Respiratory Disease, Thoracic Disease Centre, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jingzhang Li
- Department of Oncology, Liuzhou General Hospital, Liuzhou, China
| | - Kangsheng Gu
- Department of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Changli Wang
- Department of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Hui Zhao
- Department of Respiratory Medicine, The Second Hospital of Anhui Medical University, Hefei, China
| | - Yiping Zhang
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Chunling Liu
- The Second Department of Pulmonary Medicine, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China
| | - Jingru Wang
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Rumei Chen
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Mengmeng Qin
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Hao Wang
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Jason Yang
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
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Yang Q, Huang H, Zhang G, Weng N, Ou Z, Sun M, Luo H, Zhou X, Gao Y, Wu X. Contrast-enhanced CT-based radiomic analysis for determining the response to anti-programmed death-1 therapy in esophageal squamous cell carcinoma patients: A pilot study. Thorac Cancer 2023; 14:3266-3274. [PMID: 37743537 PMCID: PMC10665784 DOI: 10.1111/1759-7714.15117] [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: 07/21/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND In view of the fact that radiomics features have been reported as predictors of immunotherapy to various cancers, this study aimed to develop a prediction model to determine the response to anti-programmed death-1 (anti-PD-1) therapy in esophageal squamous cell carcinoma (ESCC) patients from contrast-enhanced CT (CECT) radiomics features. METHODS Radiomic analysis of images was performed retrospectively for image samples before and after anti-PD-1 treatment, and efficacy analysis was performed for the results of two different time node evaluations. A total of 68 image samples were included in this study. Quantitative radiomic features were extracted from the images, and the least absolute shrinkage and selection operator method was applied to select radiomic features. After obtaining selected features, three classification models were used to establish a radiomics model to predict the ESCC status and efficacy of therapy. A cross-validation strategy utilizing three folds was employed to train and test the model. Performance evaluation of the model was done using the area under the curve (AUC) of receiver operating characteristic, sensitivity, specificity, and precision metric. RESULTS Wavelet and area of gray level change (log-sigma) were the most significant radiomic features for predicting therapy efficacy. Fifteen radiomic features from the whole tumor and peritumoral regions were selected and comprised of the fusion radiomics score. A radiomics classification was developed with AUC of 0.82 and 0.884 in the before and after-therapy cohorts, respectively. CONCLUSIONS The combined model incorporating radiomic features and clinical CECT predictors helps to predict the response to anti-PD-1therapy in patients with ESCC.
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Affiliation(s)
- Qinzhu Yang
- School of Biomedical EngineeringShenzhen University Medical School, Shenzhen UniversityShenzhenChina
| | - Haofan Huang
- School of Biomedical EngineeringShenzhen University Medical School, Shenzhen UniversityShenzhenChina
- Department of Biomedical EngineeringHong Kong Polytechnic UniversityHong Kong SARChina
| | - Guizhi Zhang
- Department of RadiologyThe Eighth Affiliated Hospital of Sun Yat‐sen UniversityShenzhenChina
| | - Nuoqing Weng
- Department of Gastrointestinal Surgery, The Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenChina
| | - Zhenkai Ou
- School of Biomedical EngineeringShenzhen University Medical School, Shenzhen UniversityShenzhenChina
| | - Meili Sun
- Department of RadiologySun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhouChina
| | - Huixing Luo
- Department of Gastrointestinal Surgery, The Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenChina
| | - Xuhui Zhou
- Department of RadiologyThe Eighth Affiliated Hospital of Sun Yat‐sen UniversityShenzhenChina
| | - Yi Gao
- School of Biomedical EngineeringShenzhen University Medical School, Shenzhen UniversityShenzhenChina
- Shenzhen Key Laboratory of Precision Medicine for Hematological MalignanciesShenzhenChina
- Marshall Laboratory of Biomedical EngineeringShenzhenChina
| | - Xiaobin Wu
- Department of Gastrointestinal Surgery, The Eighth Affiliated HospitalSun Yat‐sen UniversityShenzhenChina
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Qiao Q, Han C, Ye S, Li J, Shao G, Bai Y, Xu A, Sun M, Wang W, Wu J, Huang M, Song L, Huang L, Liu T, Liu W, Wang ZM, Li B, Xia M, Bai L. The efficacy and safety of cadonilimab combined with lenvatinib for first-line treatment of advanced hepatocellular carcinoma (COMPASSION-08): a phase Ib/II single-arm clinical trial. Front Immunol 2023; 14:1238667. [PMID: 37942328 PMCID: PMC10627805 DOI: 10.3389/fimmu.2023.1238667] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 07/31/2023] [Indexed: 11/10/2023] Open
Abstract
Purpose This multicenter, open-label, phase Ib/II study aimed to assess the efficacy and safety of cadonilimab, a humanized, tetravalent, bispecific antibody plus lenvatinib in first-line treatment of advanced hepatocellular carcinoma (aHCC). Methods Patients with histologically confirmed aHCC were included to receive either 6 mg/kg cadonilimab every 2 weeks plus lenvatinib (cohort A) or 15 mg/kg cadonilimab every 3 weeks plus lenvatinib (cohort B). The primary endpoint was objective response rate (ORR) by RECIST v1.1, while the secondary endpoints were safety, progression-free survival (PFS), overall survival (OS), disease control rate (DCR), duration of response (DoR), and time to response (TTR). Results A total of 59 patients were enrolled (31 in cohort A and 28 in cohort B). The median follow-up time was 27.4 months as of the data cutoff date (July 28, 2023). The ORR in cohort A was 35.5% (95% CI: 19.2, 54.6) and that in cohort B was 35.7% (95% CI: 18.6, 55.9), and the median DoR was 13.6 months (95% CI: 4.14, NE) and 13.67 months (95% CI: 3.52, NE), respectively. The median PFS was 8.6 months (95% CI: 5.2, 15.2) and 9.8 months (95% CI: 6.9, 15.2), respectively. The median OS was 27.1 months (95% C: 15.7, NE) for cohort A, while it was not reached for cohort B. Grade ≥ 3 treatment-related adverse events (TRAEs) were reported in 66.1% of patients, with serious TRAEs occurring in 39.0% of cases. Decreased platelet count (47.5%), proteinuria (45.8%), hypertension (44.1%), and white blood cell count (44.1%) were the most common TRAEs. Conclusion This novel combination therapy showed promising efficacy and manageable toxicity that could provide an option in first-line setting of aHCC. Clinical Trial Registration [www.ClinicalTrials.gov], NCT04444167.
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Affiliation(s)
- Qian Qiao
- Chinese People’s Liberation Army (PLA) Medical School, Beijing, China
| | - Chun Han
- Daytime Chemotherapy Center, Beijing Arion Cancer Center, Beijing, China
| | - Sisi Ye
- Department of Medical Oncology, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Juan Li
- Department of Medical Oncology, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Guoliang Shao
- Intervention Department, Zhejiang Cancer Hospital, Hangzhou, China
| | - Yuxian Bai
- Department of Gastrointestinal Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Aibing Xu
- Department of Medical Oncology, Nantong Tumor Hospital, Nantong, China
| | - Meili Sun
- Department of Medical Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Wei Wang
- Department of Gastroenterology and Urology II, Hunan Cancer Hospital, Changsha, China
| | - Jian Wu
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ming Huang
- Intervention Department, Yunnan Cancer Hospital&The Third Affiliated Hospital of Kunming Medical University&Yunnan Cancer Center, Kunming, China
| | - Lijie Song
- Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Ting Liu
- Akeso Biopharma, Inc., Zhongshan, China
| | - Wei Liu
- Akeso Biopharma, Inc., Zhongshan, China
| | | | | | | | - Li Bai
- Chinese People’s Liberation Army (PLA) Medical School, Beijing, China
- Department of Medical Oncology, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
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Zhou Q, Zhao J, Chang J, Wang H, Fan Y, Wang K, Wu G, Nian W, Sun Y, Sun M, Wang X, Shi H, Zheng X, Yao S, Qin M, Shen Z, Yang J, Wu YL. Efficacy and safety of pralsetinib in patients with advanced RET fusion-positive non-small cell lung cancer. Cancer 2023; 129:3239-3251. [PMID: 37282666 DOI: 10.1002/cncr.34897] [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: 12/19/2022] [Revised: 04/17/2023] [Accepted: 04/26/2023] [Indexed: 06/08/2023]
Abstract
BACKGROUND Pralsetinib is a potent, selective RET inhibitor targeting oncogenic RET alterations. As part of the global, phase 1/2 ARROW trial (NCT03037385), the efficacy and safety of pralsetinib in Chinese patients with advanced RET fusion-positive non-small cell lung cancer (NSCLC) were evaluated. METHODS Adult patients with advanced, RET fusion-positive NSCLC with or without prior platinum-based chemotherapy were enrolled into two cohorts receiving 400-mg once-daily oral pralsetinib. Primary end points were objective response rates assessed by blinded independent central review and safety. RESULTS Of 68 patients enrolled, 37 had received prior platinum-based chemotherapy (48.6% with ≥3 prior systemic regimens) and 31 were treatment-naïve. As of March 4, 2022 (data cutoff), of the patients with measurable lesions at baseline, a confirmed objective response was observed in 22 (66.7%; 95% confidence interval [CI], 48.2-82.0) of 33 pretreated patients, including 1 (3.0%) complete response and 21 (63.6%) partial responses; and in 25 (83.3%; 95% CI, 65.3-94.4) of 30 treatment-naïve patients, including two (6.7%) complete responses and 23 (76.7%) partial responses. Median progression-free survival was 11.7 months (95% CI, 8.7-not estimable) in pretreated patients and 12.7 months (95% CI, 8.9-not estimable) in treatment-naïve patients. The most common grade 3/4 treatment-related adverse events in 68 patients were anemia (35.3%) and decreased neutrophil count (33.8%). Eight (11.8%) patients discontinued pralsetinib because of treatment-related adverse events. CONCLUSION Pralsetinib showed robust and durable clinical activity with a well-tolerated safety profile in Chinese patients with RET fusion-positive NSCLC. CLINICAL TRIAL REGISTRATION NCT03037385.
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Affiliation(s)
- Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jun Zhao
- Beijing Cancer Hospital, Beijing, China
| | - Jianhua Chang
- Fudan University Shanghai Cancer Center, Shanghai, China
| | - Huijie Wang
- Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yun Fan
- Zhejiang Cancer Hospital, Hangzhou, China
| | - Ke Wang
- West China Hospital Sichuan University, Chengdu, China
| | - Gang Wu
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiqi Nian
- Chongqing Cancer Hospital, Chongqing, China
| | | | - Meili Sun
- Jinan Central Hospital, Jinan, China
| | - Xiangcai Wang
- First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Huaqiu Shi
- First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Xiangqian Zheng
- Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Sheng Yao
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Mengmeng Qin
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Zhenwei Shen
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Jason Yang
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Zheng Y, Cong C, Wang Z, Liu Y, Zhang M, Zhou H, Su C, Sun M. Decreased risk of radiation pneumonitis with concurrent use of renin-angiotensin system inhibitors in thoracic radiation therapy of lung cancer. Front Med (Lausanne) 2023; 10:1255786. [PMID: 37901395 PMCID: PMC10602779 DOI: 10.3389/fmed.2023.1255786] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 09/27/2023] [Indexed: 10/31/2023] Open
Abstract
Background Radiation pneumonitis (RP) is the primary dose-limiting toxicity associated with radiotherapy. This study aimed to observe the effects of renin-angiotensin system inhibitors in Chinese patients with lung cancer who received thoracic radiation. Methods Patients with lung cancer who received thoracic radiation at a total dose of ≥45 Gray between October 2017 and December 2022 were enrolled in this study. We retrospectively evaluated the factors influencing grade 2 or higher RP. Results A total of 320 patients were enrolled in this study; 62 patients were identified as angiotensin receptor blockers or angiotensin-converting enzyme inhibitor users. Additionally, 99 patients (30.9%) had grade 2 or higher RP, and the incidence in the renin-angiotensin system inhibitor group was 17.7% (11 out of 62 patients). Patients in the renin-angiotensin system inhibitors (RASi) group were older and had a higher percentage of males, lower percentage of ECOG score 0, higher percentage of hypertension, and higher percentage of adenocarcinoma than those in the non-RASi group. ECOG score [hazard ratio (HR) = 1.69, p = 0.009], history of smoking (HR = 1.76, p = 0.049), mean dose (HR = 3.63, p = 0.01), and RASi (HR = 0.3, p = 0.003) were independent predictive factors for RP. All subgroups benefited from RASi. Conclusion This study showed that oral RASi administration has the potential to mitigate the incidence of grade 2 or higher RP in patients with lung cancer undergoing thoracic radiotherapy. To validate and further substantiate these findings, additional prospective research is warranted.
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Affiliation(s)
- Yawen Zheng
- Department of Oncology, Central Hospital Affiliated To Shandong First Medical University, Jinan, China
| | - Changsheng Cong
- Department of Oncology, Central Hospital Affiliated To Shandong First Medical University, Jinan, China
| | - Zewen Wang
- Department of Oncology, Central Hospital Affiliated To Shandong First Medical University, Jinan, China
| | - Yanan Liu
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
| | - Mingyan Zhang
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
| | - Hao Zhou
- Department of Oncology, Central Hospital Affiliated To Shandong First Medical University, Jinan, China
| | - Chen Su
- Department of Oncology, Central Hospital Affiliated To Shandong First Medical University, Jinan, China
| | - Meili Sun
- Department of Oncology, Central Hospital Affiliated To Shandong First Medical University, Jinan, China
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
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Qing Q, Chen Y, Zheng DK, Sun ML, Xie Y, Zhang SH. Systematic review with meta-analysis: effects of probiotic fungi on irritable bowel syndrome. Benef Microbes 2023; 14:303-315. [PMID: 38661391 DOI: 10.1163/18762891-20220134] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 03/10/2023] [Indexed: 04/26/2024]
Abstract
Treatment of irritable bowel syndrome (IBS) remains challenging for clinicians. Probiotic fungi may act as candidate options for IBS treatment, but systematic evaluation of their clinical value remains scarce. This study is aimed to assess the efficacy and the safety of probiotic fungi for IBS treatment by means of systematic review and meta-analysis. PubMed, Embase, Web of Science, and the Cochrane Library, were searched up to June 2022. Randomised controlled trials recruited subjects with prescriptions of probiotic fungi were eligible. Efficacy and safety of probiotic fungi were re-evaluated. Continuous data were pooled to obtain standardised difference in means (SMD) with a 95% confidence interval. The search strategy identified 120 articles of which 7 trial assessing 883 subjects were included in the analysis. Systematic data support that Saccharomyces helps to relieve abdominal pain/discomfort (SMD = -0.205, P = 0.005), and presented potential improvements on psychological outcomes, stool form for IBS patients. It is hard to demonstrate favourable effects on other symptoms (including distension, mucus passage, sense of incomplete evacuation, urgency, straining). The incidence of mild complications ranged from 0 to 51.4%, but no serious complications were observed in the included trials. Therefore, the partial response and the relative safe of probiotic fungi for IBS treatment have been demonstrated from the existing trials. However, it is premature to eventually declare the practical effects of probiotic fungi. Conducting more high-quality and large-scale trials and real-world studies, or even developing new fungal strains, is still necessary.
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Affiliation(s)
- Q Qing
- Department of Gastroenterology, The Third Affiliated Hospital of Guangzhou Medical University, No. 63, Duobao Road, Liwan District, Guangzhou, Guangdong province, 510150, P.R. China
| | - Y Chen
- Department of Gastroenterology, Integrative Clinical Microecology Center, Shenzhen Hospital, Southern Medical University, No. 1333 Xinhu Road, Bao'an district, Shenzhen, Guangdong province, 518101, P.R. China
| | - D K Zheng
- Department of Gastroenterology, Integrative Clinical Microecology Center, Shenzhen Hospital, Southern Medical University, No. 1333 Xinhu Road, Bao'an district, Shenzhen, Guangdong province, 518101, P.R. China
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou North Avenue, Baiyun District, Guangzhou, Guangdong province, 510515, P.R. China
| | - M L Sun
- Department of Gastroenterology, Zhujiang Hospital, Southern Medical University, No. 253 Industrial Road, Haizhu District, Guangzhou, Guangdong province, 510282, P.R. China
| | - Y Xie
- Department of Gastroenterology, Zhujiang Hospital, Southern Medical University, No. 253 Industrial Road, Haizhu District, Guangzhou, Guangdong province, 510282, P.R. China
| | - S H Zhang
- Department of Gastroenterology, Zhujiang Hospital, Southern Medical University, No. 253 Industrial Road, Haizhu District, Guangzhou, Guangdong province, 510282, P.R. China
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14
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Yang C, Liang Y, Liu N, Sun M. Role of the cGAS-STING pathway in radiotherapy for non-small cell lung cancer. Radiat Oncol 2023; 18:145. [PMID: 37667279 PMCID: PMC10478265 DOI: 10.1186/s13014-023-02335-z] [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: 10/13/2022] [Accepted: 08/22/2023] [Indexed: 09/06/2023] Open
Abstract
One of the most important therapeutic interventions for non-small cell lung cancer is radiotherapy. Ionizing radiation (IR) is classified by traditional radiobiology principles as a direct cytocidal therapeutic agent against cancer, although there is growing recognition of other antitumor immunological responses induced by this modality. The most effective therapeutic combinations to harness radiation-generated antitumor immunity and enhance treatment results for malignancies resistant to existing radiotherapy regimens could be determined by a more sophisticated understanding of the immunological pathways created by radiation. Innate immune signaling is triggered by the activation of cGAS-STING, and this promotes adaptive immune responses to help fight cancer. This identifies a molecular mechanism radiation can use to trigger antitumor immune responses by bridging the DNA-damaging ability of IR with the activation of CD8 + cytotoxic T cell-mediated killing of tumors. We also discuss radiotherapy-related parameters that affect cGAS-STING signaling, negative consequences of cGAS-STING activation, and intriguing treatment options being tested in conjunction with IR to support immune activation by activating STING-signaling. Improved therapeutic outcomes will result from a better understanding of how IR promotes cGAS-STING signaling in immune-based treatment regimens that maximize radiotherapy's anticancer effectiveness.
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Affiliation(s)
- Chunsheng Yang
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan City, China
| | - Yan Liang
- Department of Radiation, The Second Affiliated Hospital of Xingtai Medical College, Xing Tai Shi, China
| | - Ning Liu
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan City, China
| | - Meili Sun
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan City, China.
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15
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Liu N, Lv D, Schneider RR, Yang H, Zhang M, Liu Y, Sun M. Intracavitary cardiac metastasis of cervical squamous cell carcinoma with immune thrombocytopenia: a rare case report. Front Oncol 2023; 13:1239606. [PMID: 37711205 PMCID: PMC10499513 DOI: 10.3389/fonc.2023.1239606] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/10/2023] [Indexed: 09/16/2023] Open
Abstract
Cervical cancer is a prevalent gynecological malignancy; however, intracavitary cardiac metastasis of cervical squamous cell carcinoma is exceptionally rare. In addition, the co-occurrence of cervical cancer and right ventricular cancer thrombus with autoimmune diseases is extremely uncommon. Furthermore, the role of immune checkpoint inhibitors in the treatment process of such cases remains controversial. Given the scarcity of reported cases, it is imperative to document and highlight this unique presentation, providing novel insights into diagnosis and management strategies. We present the case of an adult patient diagnosed with cervical cancer and concurrent right ventricular cancer thrombus, accompanied by immune thrombocytopenia (ITP). The patient exhibited resistance to conventional ITP drugs, with suboptimal platelet response. However, upon achieving initial control of the tumor, the patient's platelet counts returned to normal. Notably, the addition of immune checkpoint inhibitors targeting PD-L1 resulted in effective tumor control, accompanied by sustained high platelet levels. Unfortunately, during subsequent anti-tumor therapy, the patient experienced a prolonged platelet rise time, rendering continuous effective anti-tumor therapy and anticoagulant therapy unattainable. This led to a gradual increase in intraventricular thrombosis, ultimately resulting in the patient's demise due to circulatory failure. This rare case sheds light on the potential alleviation of ITP in patients with tumor complications through effective antitumor therapy. The successful control of ITP after tumor management highlights the importance of integrated treatment approaches. Furthermore, the inclusion of immune checkpoint inhibitors demonstrated their potential role in achieving tumor control and maintaining platelet levels. However, the prolonged platelet rise time observed during subsequent therapy underscores the challenges in maintaining both effective anti-tumor therapy and anticoagulant therapy, necessitating careful management strategies. This case report emphasizes the need for a comprehensive evaluation and tailored therapeutic interventions in similar complex scenarios. In summary, this case report offers valuable clinical insights into the management of intracavitary cardiac metastasis of cervical squamous cell carcinoma, the coexistence of immune thrombocytopenia, and the potential implications of immune checkpoint inhibitors in such cases. Understanding these rare occurrences and their clinical impact can contribute to improved diagnostic approaches, therapeutic decision-making, and patient outcomes.
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Affiliation(s)
- Ning Liu
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
| | - Deguan Lv
- Division of Hematology/Oncology, Department of Medicine, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Hongyan Yang
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Mingyan Zhang
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
| | - Yanan Liu
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
| | - Meili Sun
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
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16
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Wang R, Feng Y, Sun M, Jiang Y, Li Z, Cui L, Wei L. MVIL6: Accurate identification of IL-6-induced peptides using multi-view feature learning. Int J Biol Macromol 2023; 246:125412. [PMID: 37327922 DOI: 10.1016/j.ijbiomac.2023.125412] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 04/24/2023] [Revised: 06/11/2023] [Accepted: 06/13/2023] [Indexed: 06/18/2023]
Abstract
Interleukin-6 (IL-6) is a potential therapeutic target for many diseases, and it is of great significance in accurately predicting IL-6-induced peptides for IL-6 research. However, the cost of traditional wet experiments to detect IL-6-induced peptides is huge, and the discovery and design of peptides by computer before the experimental stage have become a promising technology. In this study, we developed a deep learning model called MVIL6 for predicting IL-6-inducing peptides. Comparative results demonstrated the outstanding performance and robustness of MVIL6. Specifically, we employ a pre-trained protein language model MG-BERT and the Transformer model to process two different sequence-based descriptors and integrate them with a fusion module to improve the prediction performance. The ablation experiment demonstrated the effectiveness of our fusion strategy for the two models. In addition, to provide good interpretability of our model, we explored and visualized the amino acids considered important for IL-6-induced peptide prediction by our model. Finally, a case study presented using MVIL6 to predict IL-6-induced peptides in the SARS-CoV-2 spike protein shows that MVIL6 achieves higher performance than existing methods and can be useful for identifying potential IL-6-induced peptides in viral proteins.
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Affiliation(s)
- Ruheng Wang
- School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Yangfan Feng
- School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Meili Sun
- Beidahuang Industry Group General Hospital, Harbin 150001, China
| | - Yi Jiang
- School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Zhongshen Li
- School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Lizhen Cui
- School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China
| | - Leyi Wei
- School of Software, Shandong University, Jinan, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China.
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17
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Lu S, Wu L, Jian H, Cheng Y, Wang Q, Fang J, Wang Z, Hu Y, Han L, Sun M, Miao L, Ding C, Cui J, Wang K, Li B, Li X, Ye F, Liu A, Pan Y, Cang S, Zhou H, Sun X, Shen Y, Wang S, Zhang W, He Y. Sintilimab plus chemotherapy for patients with EGFR-mutated non-squamous non-small-cell lung cancer with disease progression after EGFR tyrosine-kinase inhibitor therapy (ORIENT-31): second interim analysis from a double-blind, randomised, placebo-controlled, phase 3 trial. Lancet Respir Med 2023; 11:624-636. [PMID: 37156249 DOI: 10.1016/s2213-2600(23)00135-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 03/14/2023] [Accepted: 03/14/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND In the first interim analysis of the ORIENT-31 trial, compared with chemotherapy alone, sintilimab plus bevacizumab biosimilar IBI305 plus chemotherapy (pemetrexed and cisplatin) significantly improved progression-free survival in patients with EGFR-mutated non-squamous non-small-cell lung cancer (NSCLC) who progressed on EGFR tyrosine-kinase inhibitor treatment. However, the benefit of anti-PD-1 or PD-L1 antibody added to chemotherapy in this patient population remains unclear, with no prospective evidence from phase 3 trials globally. We report the results from the prespecified second interim analysis of progression-free survival between sintilimab plus chemotherapy and chemotherapy alone, the updated results of sintilimab plus IBI305 plus chemotherapy, and preliminary overall survival results. METHODS This double-blind, randomised, placebo-controlled, phase 3 trial was done at 52 centres across China and included patients aged 18-75 years with locally advanced or metastatic (stage IIIB, IIIC, or IV according to the American Joint Committee on Cancer, eighth edition) EGFR-mutated non-squamous NSCLC, disease progression after EGFR tyrosine-kinase inhibitor treatment (according to the Response Evaluation Criteria in Solid Tumours version 1.1 [RECIST 1.1]), and at least one measurable lesion (according to RECIST 1.1). Patients were randomly assigned (1:1:1), using an interactive web response system, to receive sintilimab (200 mg) plus IBI305 (15 mg/kg) plus pemetrexed (500 mg/m2) and cisplatin (75 mg/m2), sintilimab plus chemotherapy, or chemotherapy alone on day 1 of each 3-week cycle for four cycles, followed by maintenance therapy of sintilimab, IBI305, and pemetrexed. All study drugs were administered intravenously. The primary endpoint was progression-free survival in the intention-to-treat population assessed by an independent radiographic review committee. Data cutoff was March 31, 2022, unless otherwise specified. The study is registered at ClinicalTrials.gov, NCT03802240 (ongoing). FINDINGS Between July 11, 2019, and March 31, 2022, 1011 patients were screened and 476 were randomly assigned (158 to the sintilimab plus IBI305 plus chemotherapy group, 158 to the sintilimab plus chemotherapy group, and 160 to the chemotherapy alone group). The median follow-up duration for progression-free survival was 12·9 months (IQR 8·2-17·8) in the sintilimab plus IBI305 plus chemotherapy group, 15·1 months (8·0-19·5) in the sintilimab plus chemotherapy group, and 14·4 months (9·8-23·8) in the chemotherapy alone group. Sintilimab plus chemotherapy significantly improved progression-free survival compared with chemotherapy alone (median 5·5 months [95% CI 4·5-6·1] vs 4·3 months [4·1-5·3]; hazard ratio [HR] 0·72 [95% CI 0·55-0·94]; two-sided p=0·016). Significant progression-free survival benefit was sustained with sintilimab plus IBI305 plus chemotherapy compared with chemotherapy alone (median 7·2 months [95% CI 6·6-9·3]; HR: 0·51 [0·39-0·67]; two-sided p<0·0001). As of data cutoff (July 4, 2022), the median overall survival was 21·1 months (95% CI 17·5-23·9) for sintilimab plus IBI305 plus chemotherapy (HR 0·98 [0·72-1·34]) and 20·5 months (15·8-25·3) for sintilimab plus chemotherapy group (HR 0·97 [0·71-1·32]) versus 19·2 months (15·8-22·4) for chemotherapy alone; after adjusting for crossover, the HR for sintilimab plus IBI305 plus chemotherapy to chemotherapy alone ranged from 0·79 (0·57-1·09) to 0·84 (0·61-1·15) and the HR for sintilimab plus chemotherapy to chemotherapy alone ranged from 0·78 (0·57-1·08) to 0·84 (0·61-1·16). The safety results were generally consistent with those in the first interim analysis; in particular, treatment-related adverse events of grade 3 or worse occurred in 88 (56%) of 158 patients in the sintilimab plus IBI305 plus chemotherapy group, 64 (41%) of 156 patients in the sintilimab plus chemotherapy group, and 79 (49%) of 160 patients in the chemotherapy alone group. INTERPRETATION This is the first prospective phase 3 trial to show the benefit of anti-PD-1 antibody plus chemotherapy in patients with EGFR-mutated NSCLC who progressed on treatment with tyrosine-kinase inhibitors. Compared with chemotherapy alone, sintilimab combined with pemetrexed and cisplatin showed significant and clinically meaningful improvement of progression-free survival with an optimal safety profile. Sintilimab plus IBI305 plus chemotherapy continued to show progression-free survival benefit compared with chemotherapy alone in this second interim analysis with an additional 8-month follow-up. FUNDING National Natural Science Foundation of China, Shanghai Municipal Science & Technology Commission Research Project, and Innovent Biologics. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Shun Lu
- Department of Medical Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Lin Wu
- Department of Thoracic Medical Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Hong Jian
- Department of Medical Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ying Cheng
- Department of Oncology, Jilin Cancer Hospital, Changchun, China
| | - Qiming Wang
- Department of Respiratory Medicine, Henan Cancer Hospital, Zhengzhou, China
| | - Jian Fang
- Department of Thoracic Medical Oncology, Peking University Cancer Hospital, Beijing Cancer Hospital, Beijing, China
| | - Ziping Wang
- Department of Thoracic Medical Oncology, Peking University Cancer Hospital, Beijing Cancer Hospital, Beijing, China
| | - Yanping Hu
- Department of Thoracic Medical Oncology, Hubei Cancer Hospital, Wuhan, China
| | - Liang Han
- Department of Oncology, Xuzhou Central Hospital, Xuzhou, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital affiliated to Shandong University, Jinan, China
| | - Liyun Miao
- Department of Respiratory Medicine, Nanjing University Medical School affiliated Nanjing Drum Tower Hospital, Nanjing, China
| | - Cuimin Ding
- Department of Respiratory Medicine, Hebei Medical University Fourth Affiliated Hospital and Hebei Provincial Tumor Hospital, Shijiazhuang, China
| | - Jiuwei Cui
- Department of Oncology, First Hospital of Jilin University, Changchun, China
| | - Ke Wang
- Department of Respiratory Medicine, Sichuan University West China Hospital, Chengdu, China
| | - Baolan Li
- Department of Oncology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xingya Li
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feng Ye
- Department of Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Anwen Liu
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yueyin Pan
- Department of Oncology, Anhui Provincial Hospital, Heifei, China
| | - Shundong Cang
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou, China
| | - Hui Zhou
- Department of Medical Science and Oncology, Innovent Biologics, Suzhou, China
| | - Xing Sun
- Department of Biostatistics and Information, Innovent Biologics, Suzhou, China
| | - Yuping Shen
- Department of Medical Science and Oncology, Innovent Biologics, Suzhou, China
| | - Shuyan Wang
- Department of Medical Science and Oncology, Innovent Biologics, Suzhou, China
| | - Wen Zhang
- Department of Biostatistics and Information, Innovent Biologics, Suzhou, China
| | - Yue He
- Department of Medical Science and Oncology, Innovent Biologics, Suzhou, China
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18
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Zhou C, Wang Z, Sun M, Cao L, Ma Z, Wu R, Yu Y, Yao W, Sun S, Chen J, Zhuang W, Cui J, Chen X, Lu Y, Shen H, Hu C, Liu J, Liu Y, Wang M, Li X, Sun P, Shu Y, Zhou J, Li J, Gu K, Wang C, Zhao H, Zhang Y, Liu C, Wang J, Chen R, Qin M, Wang H, Yang J. Interim survival analysis of the randomized phase III GEMSTONE-302 trial: sugemalimab or placebo plus chemotherapy as first-line treatment for metastatic NSCLC. Nat Cancer 2023; 4:860-871. [PMID: 37322367 DOI: 10.1038/s43018-023-00578-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 05/12/2023] [Indexed: 06/17/2023]
Abstract
The randomized, double-blinded, multi-center, phase III GEMSTONE-302 ( NCT03789604 ) study evaluated the efficacy and safety of sugemalimab versus placebo in combination with chemotherapy as first-line treatment for metastatic non-small-cell lung cancer (NSCLC). In this study, 479 treatment-naive patients with stage IV squamous or non-squamous NSCLC without known EGFR sensitizing mutations, ALK, ROS1 or RET fusions were randomized (2:1) to receive 1,200 mg of sugemalimab (n = 320) or placebo (n = 159) every 3 weeks in combination with platinum-based chemotherapy for up to four cycles, followed by maintenance therapy with sugemalimab or placebo for squamous NSCLC and sugemalimab or placebo plus pemetrexed for non-squamous NSCLC. Placebo-treated patients could cross over to receive sugemalimab monotherapy on disease progression. The primary endpoint was investigator-assessed progression-free survival (PFS) and the secondary endpoints included overall survival (OS) and objective response rate. Sugemalimab plus chemotherapy has demonstrated significant PFS prolongation in the primary analysis as reported previously. As of 22 November 2021, the prespecified interim OS analysis showed significant improvement with the addition of sugemalimab to chemotherapy (median OS = 25.4 versus 16.9 months; hazard ratio = 0.65; 95% confidence interval = 0.50-0.84; P = 0.0008). Sugemalimab plus chemotherapy provided superior PFS and OS compared to placebo plus chemotherapy, supporting the use of sugemalimab as a first-line treatment option for metastatic NSCLC.
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Affiliation(s)
- Caicun Zhou
- Department of Oncology, Shanghai Pulmonary Hospital, School of Medicine Tongji University, Shanghai, China.
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital Affiliated to Shandong University, Jinan, China
| | - Lejie Cao
- Department of Respiratory Medicine, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China
| | - Zhiyong Ma
- Department of Respiratory Medicine, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Rong Wu
- Department of Oncology, Shengjing Hospital of China Medical University, Huaxiang Branch Hospital, Shenyang, China
| | - Yan Yu
- Department of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Wenxiu Yao
- Thoracic Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China
| | - Si Sun
- Department of Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China
| | - Jianhua Chen
- Department of Thoracic Oncology, Hunan Cancer Hospital, Changsha, China
| | - Wu Zhuang
- Department of Thoracic Oncology, Fujian Provincial Cancer Hospital, Fuzhou, China
| | - Jiuwei Cui
- Pharmacology Base, The First Hospital of Jilin University, Changchun, China
| | - Xueqin Chen
- Department of Thoracic Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Zhejiang University Cancer Centre, Hangzhou, China
| | - You Lu
- Department of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Shen
- Department of Oncology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Chunhong Hu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jiwei Liu
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yunpeng Liu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Mengzhao Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xingya Li
- Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ping Sun
- Department of Oncology, Yantai Yuhuangding Hospital, Yantai, China
| | - Yongqian Shu
- Medical Oncology, Jiangsu Province Hospital, Nanjing, China
| | - Jianying Zhou
- Department of Respiratory Disease, Thoracic Disease Centre, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jingzhang Li
- Department of Oncology, Liuzhou General Hospital, Liuzhou, China
| | - Kangsheng Gu
- Department of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Changli Wang
- Department of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Hui Zhao
- Department of Respiratory Medicine, The Second Hospital of Anhui Medical University, Hefei, China
| | - Yiping Zhang
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Chunling Liu
- The Second Department of Pulmonary Medicine, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China
| | - Jingru Wang
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Rumei Chen
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Mengmeng Qin
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Hao Wang
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
| | - Jason Yang
- Clinical Development, CStone Pharmaceuticals, Suzhou, China
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19
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Yang S, Wu S, Zhao Y, Chen G, Zhu B, Li X, Wang K, Shi J, Cang S, Yao W, Fan Y, Fang J, Zhang L, Zhou J, Wu L, Zheng R, Huang M, Pan Y, Yang Z, Sun M, Yu H, Wang D, Huang J, Wang L, Shu Y, Chen Z, Liu C, Li J, Liu J, Sun S, Guo Y, Meng Z, Liu Z, Han Z, Wu G, Lu H, Ma R, Hu S, Zhao G, Zhang L, Liu Z, Xie C, Zhong D, Zhao H, Bi M, Yi S, Guo S, Yi T, Li W, Lin Y, Chen Z, Zhuang Z, Guo Z, Greco M, Wang T, Zhou A, Shi Y. Central nervous system efficacy of rezivertinib (BPI-7711) in advanced NSCLC patients with EGFR T790M mutation: A pooled analysis of two clinical studies. Lung Cancer 2023; 180:107194. [PMID: 37163774 DOI: 10.1016/j.lungcan.2023.107194] [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: 02/22/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Rezivertinib (BPI-7711) is a novel third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) which revealed the systematic and central nervous system (CNS) antitumor activities for EGFR T790M-mutated advanced NSCLC in previous clinical studies and is further analyzed here. METHODS Eligible patients from the previous phase I and phase IIb studies of rezivertinib were included for pooled analysis. Post-progressive patients who received a prescribed dosage (≥180 mg) of rezivertinib orally once daily were included in full analysis set (FAS), while those with stable, asymptomatic CNS lesions, including measurable and non-measurable ones at baseline were included in CNS full analysis set (cFAS). Patients with measurable CNS lesions were included in CNS evaluable for response set (cEFR). BICR-assessed CNS objective response rate (CNS-ORR), CNS disease control rate (CNS-DCR), CNS duration of response (CNS-DoR), CNS progression-free survival (CNS-PFS), and CNS depth of response (CNS-DepOR) were evaluated. RESULTS 355 patients were included in FAS, among whom 150 and 45 patients were included in cFAS and cEFR. This pooled analysis showed the CNS-ORR was 32.0% (48/150; 95% CI: 24.6-40.1%) and the CNS-DCR was 42.0% (63/150; 95% CI: 34.0-50.3%) in cFAS, while that in cEFR were 68.9% (31/45; 95% CI: 53.4-81.8%) and 100% (45/45; 95% CI: 92.1-100.0%). In cEFR, the median CNS-DepOR and the mean of CNS-DepOR were -52.0% (range: -100.0 to 16.1%) and -46.8% (95% CI: -55.5 to -38.1%). In cFAS, the median CNS-DoR and CNS-PFS were 13.8 (95% CI: 9.6-not calculable [NC]) and 16.5 (95% CI: 13.7-NC) months. CONCLUSIONS Rezivertinib demonstrated encouraging clinical CNS efficacy among advanced NSCLC patients with EGFR T790M mutation and CNS metastases.
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Affiliation(s)
- Sheng Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, People's Republic of China
| | - Shiman Wu
- Department of Respiratory Medicine, The First Hospital of Shanxi Medical University, Taiyuan, People's Republic of China
| | - Yanqiu Zhao
- Department of Respiratory Medicine, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
| | - Gongyan Chen
- Department of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China
| | - Bo Zhu
- Department of Oncology, Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, People's Republic of China
| | - Xingya Li
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
| | - Ke Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - Jianhua Shi
- Department of Medical Oncology, Linyi Cancer Hospital, Linyi, People's Republic of China
| | - Shundong Cang
- Department of Medical Oncology, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China
| | - Wenxiu Yao
- Department of Medical Oncology, Sichuan Cancer Hospital, Chengdu, People's Republic of China
| | - Yun Fan
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| | - Jian Fang
- Department of Thoracic Oncology, Beijing Cancer Hospital, Beijing, People's Republic of China
| | - Liangming Zhang
- Department of Medical Oncology, Yantai Yuhuangding Hospital, Yantai, People's Republic of China
| | - Jianying Zhou
- Department of Respiratory Medicine, The First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, People's Republic of China
| | - Lin Wu
- Department of Thoracic Medical Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China
| | - Rongsheng Zheng
- Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China
| | - Meijuan Huang
- Thoracic Oncology Ward, Division of Medical Oncology, West China Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Yueyin Pan
- Department of Thoracic Cancer Chemotherapy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Zhixiong Yang
- Cancer Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital Shandong University, Jinan, People's Republic of China
| | - Huiqing Yu
- Department of Palliative Care, Department of Geriatric Oncology, Chongqing University Cancer Hospital, Chongqing, People's Republic of China
| | - Donglin Wang
- Department of Palliative Care, Department of Geriatric Oncology, Chongqing University Cancer Hospital, Chongqing, People's Republic of China
| | - Jianan Huang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Lijun Wang
- Cancer Center, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, People's Republic of China
| | - Yongqian Shu
- Department of Oncology, Jiangsu Province Hospital, Nanjing, People's Republic of China
| | - Zhaohong Chen
- Department of Oncology, People's Hospital of Deyang City, Deyang, People's Republic of China
| | - Chunling Liu
- Pulmonary Cancer Medicine, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Jingzhang Li
- Department of Oncology, Liuzhou People's Hospital, Liuzhou, People's Republic of China
| | - Jiwei Liu
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China
| | - Shenghua Sun
- Department of Respiratory Medicine, Third Xiangya Hospital of Central South University, Changsha, People's Republic of China
| | - Yanzhen Guo
- Department of Medical Oncology, The First Affiliated Hospital of Henan University of Science & Technology, Luoyang, People's Republic of China
| | - Zili Meng
- Department of Respiratory Medicine, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian, People's Republic of China
| | - Zhefeng Liu
- Department of Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Zhigang Han
- Pulmonary Cancer Medicine, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Gang Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Hong Lu
- Department of Oncology, Huaihe Hospital of Henan University, Kaifeng, People's Republic of China
| | - Rui Ma
- Department of Thoracic Oncology, Liaoning Cancer Hospital & Institute, Shenyang, People's Republic of China
| | - Sheng Hu
- Department of Thoracic Oncology, Hubei Cancer Hospital, Wuhan, People's Republic of China
| | - Guofang Zhao
- Department of Thoracic Surgery, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, People's Republic of China
| | - Longzhen Zhang
- Department of Radiotherapy, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China
| | - Zheng Liu
- Department of Oncology, HanDan Central Hospital, Handan, People's Republic of China
| | - Congying Xie
- Department of Radiotherapy, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Diansheng Zhong
- Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Hui Zhao
- Department of Respiratory Medicine, The Second Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Minghong Bi
- Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China
| | - Shanyong Yi
- Department of Medical Oncology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, People's Republic of China
| | - Shuliang Guo
- Department of Respiratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Tienan Yi
- Department of Oncology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Sciences, Xiangyang, People's Republic of China
| | - Wen Li
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine. Hangzhou, People's Republic of China
| | - Yingcheng Lin
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou, People's Republic of China
| | - Zhendong Chen
- Department of Oncology, The Second Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Zhixiang Zhuang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Zhongliang Guo
- Department of Respiratory Medicine, Shanghai East Hospital, Shanghai, People's Republic of China
| | - Michael Greco
- Department of Drug Discovery, Beta Pharma Inc., Princeton, NJ, USA
| | - Tingting Wang
- Department of Clinical Development, Beta Pharma (Shanghai) Co., Ltd., Shanghai, People's Republic of China
| | - Anqi Zhou
- Department of Clinical Development, Beta Pharma (Shanghai) Co., Ltd., Shanghai, People's Republic of China
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, People's Republic of China.
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20
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Cong C, Niu S, Jiang Y, Zhang X, Jing W, Zheng Y, Zhang X, Su G, Zhang Y, Sun M. Renin-angiotensin system inhibitors mitigate radiation pneumonitis by activating ACE2-angiotensin-(1-7) axis via NF-κB/MAPK pathway. Sci Rep 2023; 13:8324. [PMID: 37221286 DOI: 10.1038/s41598-023-35412-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 05/17/2023] [Indexed: 05/25/2023] Open
Abstract
Radiation pneumonitis (RP) affects both patients and physicians during radiation therapy for lung cancer. To date, there are no effective drugs for improving the clinical outcomes of RP. The activation of angiotensin-converting enzyme 2 (ACE2) improves experimental acute lung injury caused by severe acute respiratory syndrome coronavirus, acid inhalation, and sepsis. However, the effects and underlying mechanisms of ACE2 in RP remain unclear. Therefore, this study aimed to investigate the effects of angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers on RP and ACE2/angiotensin-(1-7)/Mas receptor pathway activation. We found that radiotherapy decreased the expression of ACE2 and that overexpression of ACE2 alleviated lung injury in an RP mouse model. Moreover, captopril and valsartan restored ACE2 activation; attenuated P38, ERK, and p65 phosphorylation; and effectively mitigated RP in the mouse model. Further systematic retrospective analysis illustrated that the incidence of RP in patients using renin-angiotensin system inhibitors (RASis) was lower than that in patients not using RASis (18.2% vs. 35.8% at 3 months, p = 0.0497). In conclusion, the current findings demonstrate that ACE2 plays a critical role in RP and suggest that RASis may be useful potential therapeutic drugs for RP.
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Affiliation(s)
- Changsheng Cong
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, 250013, Shandong, China
| | - Shiying Niu
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Department of Pathophysiology, Academy of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250062, Shandong, China
- Department of Pathology, Linfen Central Hospital, Linfen, 041099, Shanxi, China
| | - Yifan Jiang
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Department of Pathophysiology, Academy of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250062, Shandong, China
| | - Xinhui Zhang
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
- Department of Pathophysiology, Academy of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250062, Shandong, China
| | - Wang Jing
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, 250013, Shandong, China
| | - Yawen Zheng
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, 250013, Shandong, China
| | - Xiaoyue Zhang
- Department of Pathology, Shandong Medicine and Health Key Laboratory of Clinical Pathology, Shandong Lung Cancer Institute, Shandong Institute of Nephrology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250013, Shandong, China
| | - Guohai Su
- Department of Cardiology, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China
| | - Yueying Zhang
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
- Department of Pathophysiology, Academy of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250062, Shandong, China.
| | - Meili Sun
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, 250013, Shandong, China.
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, 250013, Shandong, China.
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21
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Lin Y, Sun M, Zhang J, Li M, Yang K, Wu C, Zulfiqar H, Lai H. Computational identification of promoters in Klebsiella aerogenes by using support vector machine. Front Microbiol 2023; 14:1200678. [PMID: 37250059 PMCID: PMC10215528 DOI: 10.3389/fmicb.2023.1200678] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 04/18/2023] [Indexed: 05/31/2023] Open
Abstract
Promoters are the basic functional cis-elements to which RNA polymerase binds to initiate the process of gene transcription. Comprehensive understanding gene expression and regulation depends on the precise identification of promoters, as they are the most important component of gene expression. This study aimed to develop a machine learning-based model to predict promoters in Klebsiella aerogenes (K. aerogenes). In the prediction model, the promoter sequences in K. aerogenes genome were encoded by pseudo k-tuple nucleotide composition (PseKNC) and position-correlation scoring function (PCSF). Numerical features were obtained and then optimized using mRMR by combining with support vector machine (SVM) and 5-fold cross-validation (CV). Subsequently, these optimized features were inputted into SVM-based classifier to discriminate promoter sequences from non-promoter sequences in K. aerogenes. Results of 10-fold CV showed that the model could yield the overall accuracy of 96.0% and the area under the ROC curve (AUC) of 0.990. We hope that this model will provide help for the study of promoter and gene regulation in K. aerogenes.
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Affiliation(s)
- Yan Lin
- Key Laboratory for Animal Disease-Resistance Nutrition of the Ministry of Agriculture, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Meili Sun
- Beidahuang Industry Group General Hospital, Harbin, China
| | - Junjie Zhang
- Key Laboratory for Animal Disease-Resistance Nutrition of the Ministry of Agriculture, Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
| | - Mingyan Li
- Chifeng Product Quality Inspection and Testing Centre, Chifeng, China
| | - Keli Yang
- Nonlinear Research Institute, Baoji University of Arts and Sciences, Baoji, China
| | - Chengyan Wu
- Baotou Teacher’s College, Inner Mongolia University of Science and Technology, Baotou, China
| | - Hasan Zulfiqar
- Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, China
| | - Hongyan Lai
- Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
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22
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Wang HC, Huang YF, Cai L, Guo M, Sun M, Li F, Yu Z. First Report of Target Spot Caused by Rhizoctonia solani AG-5 on Tobacco in China. Plant Dis 2023; 107:2541. [PMID: 36856650 DOI: 10.1094/pdis-10-22-2448-pdn] [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] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Tobacco is one of the vital economic crops in China. Nevertheless, tobacco diseases cause substantial economic losses each year. Tobacco target spot is a fungal disease which commonly found on the leaves. While both sexual and asexual reproduction can occur, asexual reproduction is much more common in tobacco. In June 2022, target spot was found on tobacco leaf samples from Yibin, Sichuan Province and Meitan, Guizhou Province, China. The typical symptoms were light brown tissue with concentric ring marks, and the necrotic part of the disease spot was fragile and forming perforation after falling off. The diseased tissue in the sample was cut off and sterilized in 75% ethanol for 1 min, and rinsed three times in sterilized distilled water. Finally, the tissues were placed on potato glucose agar (PDA) medium with kanamycin (0.1 mg/mL). After incubation at 28 °C in darkness for 3 days,the culture of the isolate grew in the form of radial mycelium on PDA dishes, the mycelium was white initially, turned brown generally at the later stage, and finally thickened and separated with the growth of the culture. Nine pathogenic strains were isolated, including four isolates from Yibin and five from Meitan. They were all used for pathogen identification. Genomic DNA of each isolate was extracted using the CATB method, and PCR analysis was performed with primers specifically designed to detect individual fusion groups or fusion subgroups of solani: AG-1 IA, IB, and IC; AG-3 PT; AG-4 HG-I, HG-II and HG-III; AGs-5-6 and P-21-22. Among the 11 specific primer pairs, only AG-5-specific primer amplified the fungal DNA, indicating that the nine isolates tested all belonged to the R. solani AG-5 fusion group. BLASTn search was performed on the gene sequences obtained from these strains and they deposited in GenBank under accession no. OP647851-OP647859. These gene sequences were aligned with the voucher specimen R. solani AG-5, with more than 99% similarity . The nine isolates were then tested for mycelial anastomosis reactions using the R. solani AG-5 standard strain following the method described by Ogoshi (1987). A decrease in the diameter of the mycelia at the anastomosis site and death of adjacent cells were observed, indicating their anastomosis response. Therefore, these nine strains were identified as R. solani AG-5 based on morphological and genetic analysis. Subsequently, one pathogenic strain from Meitan and another one from Yibin were selected for pathogenicity verification. Mycelial PDA blocks (6 mm in diameter) of the two isolates were inoculated on healthy tobacco plants, while leaves containing only PDA blocks were used as controls. A total of 6 replicates were conducted. After inoculation, they were incubated at 85% relative humidity and 15 to 25 °C. Koch's hypothesis was confirmed by reisolating pathogens from diseased leaves 5 days after inoculation. Typical symptoms were observed on tobacco plants inoculated with the pathogen strains but not on control tobacco plants. To the best of our knowledge, tobacco target spot has been reported caused by R. solani AG-3, AG-6 and AG-2.1 groups in the field in China and in Argentina. Up until now, this is the first report of R. solani AG-5 causing tobacco target spot on tobacco in the field in China. It was also found to be highly virulent to chickpea in Turkey. Due to serious damages caused by this disease in the last five years in China, more attention should be paid in disease control measures to avoid economic losses. In addition, it also provides some theoretical help for the damage caused by this pathogen on other hosts and helps people to better understand Rhizoctonia solani AG-5.
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Affiliation(s)
- Han-Cheng Wang
- Plant protection, Plant disease, Nanjing Agricultrual University, Nanjing, Jiangsu, China, 210095
- Guizhou Academy of Tobacco Science, Plant Pathology, Longtan Ba Road #29, Guan Shan Hu District, Guiyang, Guiyang, Guizhou, China, 550081;
| | - Yu-Feng Huang
- Guizhou Normal University, 12686, College of Life Sciences, Huaxi University City, Guian New District, Guizhou Province, Guiyang, Guizhou, China, 550001
- Guizhou Academy of Tobacco Science;
| | - Liuti Cai
- Guizhou Academy of Tobacco Science, No. 29, Longtanba Road, Guanshanhu District, Guiyang, Guiyang, China, 550008
- China;
| | - Moyan Guo
- Yangtze University, 47897, College of Agriculture, Jingzhou, Hubei , China;
| | - Meili Sun
- College of Agriculture, Yangtze University, plant protection, Jingzhou , Hubei, Jingzhou, Hubei , China, 434025
- Guizhou Academy of Tobacco Science, plant protection, Guiyang , Guizhou, Guiyang, Guizhou, China, 550081;
| | - Fei Li
- Guizhou Normal University, 12686, College of Life Sciences, Guiyang, Guizhou, China;
| | - Zhihe Yu
- 266 Jingmi Rd.JingzhouHubeiJingzhou, China, 434025;
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23
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Zhao J, Yu X, Huang D, Ma Z, Gao B, Cui J, Chu Q, Zhou Q, Sun M, Day D, Wu J, Pan H, Wang L, Voskoboynik M, Wang Z, Liu Y, Li H, Zhang J, Peng Y, Wu YL. SAFFRON-103: a phase 1b study of the safety and efficacy of sitravatinib combined with tislelizumab in patients with locally advanced or metastatic non-small cell lung cancer. J Immunother Cancer 2023; 11:jitc-2022-006055. [PMID: 36808075 PMCID: PMC9944269 DOI: 10.1136/jitc-2022-006055] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [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] [Accepted: 01/20/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Some patients with locally advanced/metastatic non-small cell lung cancer (NSCLC) respond poorly to anti-programmed cell death protein 1 (PD-1)/anti-programmed death-ligand 1 (PD-L1) treatments. Combination with other agents may improve the outcomes. This open-label, multicenter, phase 1b trial investigated the combination of sitravatinib, a spectrum-selective tyrosine kinase inhibitor, plus anti-PD-1 antibody tislelizumab. METHODS Patients with locally advanced/metastatic NSCLC were enrolled (Cohorts A, B, F, H, and I; N=22-24 per cohort). Cohorts A and F included patients previously treated with systemic therapy, with anti-PD-(L)1-resistant/refractory non-squamous (cohort A) or squamous (cohort F) disease. Cohort B included patients previously treated with systemic therapy, with anti-PD-(L)1-naïve non-squamous disease. Cohorts H and I included patients without prior systemic therapy for metastatic disease, no prior anti-PD-(L)1/immunotherapy, with PD-L1-positive non-squamous (cohort H) or squamous (cohort I) histology. Patients received sitravatinib 120 mg orally one time per day plus tislelizumab 200 mg intravenously every 3 weeks, until study withdrawal, disease progression, unacceptable toxicity, or death. The primary endpoint was safety/tolerability among all treated patients (N=122). Secondary endpoints included investigator-assessed tumor responses and progression-free survival (PFS). RESULTS Median follow-up was 10.9 months (range: 0.4-30.6). Treatment-related adverse events (TRAEs) occurred in 98.4% of the patients, with ≥Grade 3 TRAEs in 51.6%. TRAEs led to discontinuation of either drug in 23.0% of the patients. Overall response rate was 8.7% (n/N: 2/23; 95% CI: 1.1% to 28.0%), 18.2% (4/22; 95% CI: 5.2% to 40.3%), 23.8% (5/21; 95% CI: 8.2% to 47.2%), 57.1% (12/21; 95% CI: 34.0% to 78.2%), and 30.4% (7/23; 95% CI: 13.2% to 52.9%) in cohorts A, F, B, H, and I, respectively. Median duration of response was not reached in cohort A and ranged from 6.9 to 17.9 months across other cohorts. Disease control was achieved in 78.3-90.9% of the patients. Median PFS ranged from 4.2 (cohort A) to 11.1 months (cohort H). CONCLUSIONS In patients with locally advanced/metastatic NSCLC, sitravatinib plus tislelizumab was tolerable for most patients, with no new safety signals and overall safety profiles consistent with known profiles of these agents. Objective responses were observed in all cohorts, including in patients naïve to systemic and anti-PD-(L)1 treatments, or with anti-PD-(L)1 resistant/refractory disease. Results support further investigation in selected NSCLC populations. TRIAL REGISTRATION NUMBER NCT03666143.
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Affiliation(s)
- Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xinmin Yu
- Department of Medical Oncology, Cancer Hospital of University of Chinese Academy of Sciences & Zhejiang Cancer Hospital, Hangzhou, China
| | - Dingzhi Huang
- Department of Thoracic Medical Oncology, Tianjin Cancer Hospital, Tianjin, China
| | - Zhiyong Ma
- Department of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University; Henan Cancer Hospital, Zhengzhou, China
| | - Bo Gao
- Blacktown Hospital and University of Sydney, Sydney, New South Wales, Australia
| | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Wuhan, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, China
| | - Daphne Day
- Medical Oncology, Monash Health and Monash University, Melbourne, Victoria, Australia
| | - Jingxun Wu
- Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Hongming Pan
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | | | - Mark Voskoboynik
- Medical Oncology, Nucleus Network, Melbourne, VIC, Australia and Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Zhehai Wang
- Department of Internal Medicine - Oncology, Shandong Cancer Hospital & Institute, Jinan, China
| | - Yunpeng Liu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Hui Li
- BeiGene (Shanghai) Co., Ltd, Shanghai, China
| | - Juan Zhang
- BeiGene (Beijing) Co., Ltd, Beijing, China
| | - Yanyan Peng
- BeiGene (Shanghai) Co., Ltd, Shanghai, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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24
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Bi YL, Feng KY, Sun ML, Hao WQ. [Discussion on the use of occupational contraindication cardiovascular disease in Technical Specifications for Occupational Health Surveillance (GBZ 188-2014)]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:141-144. [PMID: 36882281 DOI: 10.3760/cma.j.cn121094-20211008-00487] [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: 03/09/2023]
Abstract
Technical Specifications for Occupational Health Surveillance (GBZ 188-2014) has played an important role in screening occupational contraindications and preventing occupational diseases since its implementation. However, during the use of occupational health examination, we found that the use of occupational contraindication on cardiovascular disease was not "homogenized" due to the differences in the understanding of various physical examination institutions. Therefore, this paper mainly discussed the connotation and quantitative standards of organic heart disease, arrhythmia, hypertension in the occupational contraindication cardiovascular disease in the specification for "homogenization".
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Affiliation(s)
- Y L Bi
- The Second Hospital of Heilongjiang, Occupational Poisoning Department, Harbin 150028, China
| | - K Y Feng
- The Second Hospital of Heilongjiang, Occupational Poisoning Department, Harbin 150028, China
| | - M L Sun
- The Second Hospital of Heilongjiang, Occupational Poisoning Department, Harbin 150028, China
| | - W Q Hao
- The Second Hospital of Heilongjiang, Occupational Poisoning Department, Harbin 150028, China
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25
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Song Y, Zhang B, Xin D, Kou X, Tan Z, Zhang S, Sun M, Zhou J, Fan M, Zhang M, Song Y, Li S, Yuan Y, Zhuang W, Zhang J, Zhang L, Jiang H, Gu K, Ye H, Ke Y, Li J, Wang Q, Zhu J, Huang J. First-line serplulimab or placebo plus chemotherapy in PD-L1-positive esophageal squamous cell carcinoma: a randomized, double-blind phase 3 trial. Nat Med 2023; 29:473-482. [PMID: 36732627 PMCID: PMC9941045 DOI: 10.1038/s41591-022-02179-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 12/09/2022] [Indexed: 02/04/2023]
Abstract
First-line systemic therapeutic options for advanced esophageal squamous cell carcinoma (ESCC) are limited. In this multicenter, double-blind phase 3 trial, a total of 551 patients with previously untreated, locally advanced or metastatic ESCC and PD-L1 combined positive score of ≥1 were randomized (2:1) to receive serplulimab (an anti-PD-1 antibody; 3 mg/kg) or placebo (on day 1), plus cisplatin (50 mg/m2) (on day 1) and continuous infusion of 5-fluorouracil (1,200 mg/m2) (on days 1 and 2), once every 2 weeks. The study met the primary endpoints. At the prespecified final analysis of progression-free survival (PFS) assessed by the blinded independent radiological review committee, serplulimab plus chemotherapy significantly improved PFS compared with placebo plus chemotherapy (median PFS of 5.8 months and 5.3 months, respectively; hazard ratio, 0.60; 95% confidence interval, 0.48-0.75; P < 0.0001). At the prespecified interim analysis of overall survival (OS), serplulimab plus chemotherapy also significantly prolonged OS compared with placebo plus chemotherapy (median OS of 15.3 months and 11.8 months, respectively; hazard ratio, 0.68; 95% confidence interval, 0.53-0.87; P = 0.0020). Grade 3 or higher treatment-related adverse events occurred in 201 (53%) and 81 (48%) patients in the serplulimab plus chemotherapy group and the placebo plus chemotherapy group, respectively. Serplulimab plus chemotherapy administered every 2 weeks significantly improved PFS and OS in patients with previously untreated, PD-L1-positive advanced ESCC, with a manageable safety profile. This study is registered with ClinicalTrials.gov ( NCT03958890 ).
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Affiliation(s)
- Yan Song
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dao Xin
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoge Kou
- Department of Medical Oncology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Zhenbo Tan
- Department of Thoracic Surgery, Xingtai People's Hospital, Xingtai, China
| | - Shu Zhang
- Department of Gastrointestinal Oncology, Shandong First Medical University Cancer Hospital, Shandong Cancer Hospital, Jinan, China
| | - Meili Sun
- Department of Medical Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jin Zhou
- Department of Medical Oncology, Sichuan Cancer Hospital, Chengdu, China
| | - Min Fan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ming Zhang
- Department of Integrated Traditional and Western Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yongxiang Song
- Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Suyi Li
- Department of Medical Oncology, Anhui Provincial Cancer Hospital, Hefei, China
| | - Yuan Yuan
- Department of Medical Oncology, Xuzhou Central Hospital, Xuzhou, China
| | - Wu Zhuang
- Department of Medical Oncology, Fujian Cancer Hospital, Fuzhou, China
| | - Jingdong Zhang
- Medical Oncology Department of Gastrointestinal Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Li Zhang
- Department of Oncology, Chongqing University Three Gorges Hospital, Chongqing, China
| | - Hao Jiang
- Department of Radiation Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Kangsheng Gu
- Department of Medical Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Huangyang Ye
- Department of Medical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Ying Ke
- Shanghai Henlius Biotech, Inc., Shanghai, China
| | - Jing Li
- Shanghai Henlius Biotech, Inc., Shanghai, China
| | - Qingyu Wang
- Shanghai Henlius Biotech, Inc., Shanghai, China
| | - Jun Zhu
- Shanghai Henlius Biotech, Inc., Shanghai, China
| | - Jing Huang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Guo Y, Yuan C, Ding W, Gao Y, Zhu X, Ying J, Sun M, Zhang J, Zhuang Z, Huang Y, Deng L, Chen P, Bai Y, Niu Z, Li W, Yin X, Xu A, Cheng Y, Li J. Gunagratinib, a highly selective irreversible FGFR inhibitor, in patients with previously treated locally advanced or metastatic cholangiocarcinoma harboring FGFR pathway alterations: A phase IIa dose-expansion study. J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.4_suppl.572] [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: 01/26/2023] Open
Abstract
572 Background: ICP-192 (gunagratinib), developed by InnoCare Pharma, is a novel pan-FGFR (fibroblast growth factor receptors) inhibitor that potently and selectively inhibits FGFR 1, 2, 3 and 4 activities irreversibly by covalent binding. Here we present data from an ongoing phase IIa dose-expansion study (ICP-CL-00301 NCT03758664) of gunagratinib in patients with cholangiocarcinoma (CCA). Methods: Eligible participants were aged 18-75 years, had locally advanced or metastatic CCA with FGFR2 fusions or rearrangements, and had disease progression after ≥1 prior treatment or intolerant of prior treatment. Patients received oral gunagratinib 20 mg QD (21-day cycle) until disease progression, intolerance, withdrawal of consent, or death. Radiological tumor evaluation was done at baseline and every 6 weeks until disease progression. Primary endpoint was objective response rate (ORR). Results: As of September 5, 2022, 18 CCA patients were enrolled and received 20 mg gunagratinib. The median age of the patients was 52.0 with 44.4% male and ECOG between 0-2. Median follow-up was 5.57 months. Among the 17 patients who have completed at least one tumor assessment, 9 patients had confirmed partial response (PR) and 7 patients had stable disease (SD). The ORR was 52.9% (9/17). The disease control rate (DCR) was 94.1% (16/17). The median progression free survival (mPFS) was 6.93 months (95% CI, 5.42–not reached) (not mature at cutoff). Among the 17 patients with safety data, 16 (94.1%) patients experienced at least one treatment-emergent adverse event (TEAE). Grade 3 or higher TEAEs occurred in 35.3% of patients. Five serious TEAE were reported with only one serious treatment-related adverse event (TRAE). Discontinuation rate due to TRAEs was 0%. There were no treatment-related deaths. Conclusions: The study data demonstrated that gunagratinib is safe and well-tolerated in previously treated patients with locally advanced or metastatic CCA harboring FGFR2 gene fusions or rearrangements. The response rate in such a patient group is high comparing to other approved FGFR inhibitors. Gunagratinib is a promising second-generation FGFR inhibitor with potential for the treatment of multiple indications with FGF/FGFR pathway abnormalities. Clinical trial information: NCT03758664 . [Table: see text]
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Affiliation(s)
- Ye Guo
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chunwang Yuan
- Center of Interventional Oncology and Liver Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Weimin Ding
- Department of Oncology, Zhujiang Hospital of South Medical University, Guangzhou, Guandong, China
| | - Yi Gao
- Department of Hepatobiliary Surgery, Zhujiang Hospital of South Medical University, Guangzhou, Guandong, China
| | - Xu Zhu
- Department of Interventional Therapy, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China
| | - Jieer Ying
- Department of Abdominal Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Meili Sun
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jingdong Zhang
- Department of Gastrointestinal Cancer, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Zhixiang Zhuang
- Department of Oncology, Second Affiliated Hospital of Suzhou University, Suzhou, Jiangsu, China
| | - Yangqing Huang
- Department of Liver Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Lichun Deng
- Department of Oncology, Jiangyin People's Hospital, Wuxi, Jiangsu, China
| | - Ping Chen
- Medical Experiment Center, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
| | - Yuxian Bai
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Zuoxing Niu
- Internal Medicine Endemic Area 4, Shandong Cancer Hospital, Jinan,Shandong, China
| | - Wei Li
- Department of Medical Oncology, The First Hospital of Jilin University, Changchun, China
| | - Xiaoyu Yin
- Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Aibing Xu
- Department of Medical Oncology, Nantong Tumor Hospital, Nantong, China
| | - Yufeng Cheng
- Department of Radiation Oncology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Jin Li
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
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Zheng Y, Liu Y, Zhang F, Su C, Chen X, Zhang M, Sun M, Sun Y, Xing L. Radiation combined with KRAS-MEK inhibitors enhances anticancer immunity in KRAS-mutated tumor models. Transl Res 2023; 252:79-90. [PMID: 35948200 DOI: 10.1016/j.trsl.2022.08.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 07/27/2022] [Accepted: 08/03/2022] [Indexed: 01/14/2023]
Abstract
KRAS mutation is a common driver in solid tumors, and KRAS-mutated tumors are relatively resistant to radiotherapy. Therefore, we investigated the combined effect of radiation and KRAS-MEK inhibitors (AMG510 and trametinib) in KRAS-mutated tumors. The expression of programmed death-ligand 1 (PD-L1), major histocompatibility complex (MHC) class I molecules, and cytokines in KRAS-mutated cell lines was assessed using flow cytometry, western blot analysis, quantitative polymerase chain reaction, and enzyme-linked immunosorbent assay. In vivo, tumor growth, T cell infiltration, and gene sequencing analyses were conducted in 2 murine KRAS-mutated models. Both AMG510 and trametinib decreased the radiation-induced increase in PD-L1 expression. Radiation and trametinib additively induced the expression of CXCL10 and CXCL11 cytokines and MHC class I in murine CT26 and LLC cell lines. The combination of trametinib and radiation controlled tumor growth and induced more infiltration of CD4+ and CD8+ T cells in vivo, wherein tumor inhibition function and the survival period of mice could be reduced by CD8+ and/or CD4+ T cell depletion. The expression levels of immune-related genes also increased in the combination therapy group. Our results indicate that KRAS-MEK inhibitors in combination with radiotherapy can enhance antitumor immunity, providing new therapeutic strategies for KRAS-mutated tumors.
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Affiliation(s)
- Yawen Zheng
- Department of Oncology, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China; Department of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China; Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, Shandong, P. R. China; Research Center of Translational Medicine, Laboratory Animal Center, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Yanan Liu
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, Shandong, P. R. China; Research Center of Translational Medicine, Laboratory Animal Center, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Fang Zhang
- Department of Oncology, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China; Research Center of Translational Medicine, Laboratory Animal Center, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Chen Su
- Department of Oncology, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Xiaozheng Chen
- Department of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China
| | - Mingyan Zhang
- Department of Oncology, Jinan Central Hospital, Shandong University, Jinan, Shandong, P. R. China; Research Center of Translational Medicine, Laboratory Animal Center, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Meili Sun
- Department of Oncology, Central hospital affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Yuping Sun
- Department of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China
| | - Ligang Xing
- Department of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, P. R. China; Department of Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, Shandong, P. R. China.
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Sun M, Wang H, Shi C, Li J, Cai L, Xiang L, Liu T, Goodwin PH, Chen X, Wang L. Effect of azoxystrobin on tobacco leaf microbial composition and diversity. Front Plant Sci 2023; 13:1101039. [PMID: 36816485 PMCID: PMC9930646 DOI: 10.3389/fpls.2022.1101039] [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] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 12/31/2022] [Indexed: 06/18/2023]
Abstract
Azoxystrobin, a quinone outside inhibitor fungicide, reduced tobacco target spot caused by Rhizoctonia solani by 62%, but also affected the composition and diversity of other microbes on the surface and interior of treated tobacco leaves. High-throughput sequencing showed that the dominant bacteria prior to azoxystrobin treatment were Methylobacterium on healthy leaves and Pseudomonas on diseased leaves, and the dominant fungi were Thanatephorous (teleomorph of Rhizoctonia) and Symmetrospora on healthy leaves and Thanatephorous on diseased leaves. Both bacterial and fungal diversity significantly increased 1 to 18 days post treatment (dpt) with azoxystrobin for healthy and diseased leaves. For bacteria on healthy leaves, the relative abundance of Pseudomonas, Sphingomonas, Unidentified-Rhizobiaceae and Massilia declined, while Methylobacterium and Aureimonas increased. On diseased leaves, the relative abundance of Sphingomonas and Unidentified-Rhizobiaceae declined, while Methylobacterium, Pseudomonas and Pantoea increased. For fungi on healthy leaves, the relative abundance of Thanatephorous declined, while Symmetrospora, Sampaiozyma, Plectosphaerella, Cladosporium and Cercospora increased. On diseased leaves, the relative abundance of Thanatephorous declined, while Symmetrospora, Sampaiozyma, Plectosphaerella, Cladosporium, Phoma, Pantospora and Fusarium, increased. Compared to healthy leaves, azoxystrobin treatment of diseased leaves resulted in greater reductions in Thanatephorous, Sphingomonas and Unidentified-Rhizobiaceae, a greater increase in Methylobacterium, and similar changes in Phoma, Fusarium, Plectosphaerella and Cladosporium. Azoxystrobin had a semi-selective effect altering the microbial diversity of the tobacco leaf microbiome, which could be due to factors, such as differences among bacterial and fungal species in sensitivity to quinone outside inhibitors, ability to use nutrients and niches as certain microbes are affected, and metabolic responses to azoxystrobin.
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Affiliation(s)
- Meili Sun
- College of Agriculture, Yangtze University, Jingzhou, Hubei, China
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Hancheng Wang
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Caihua Shi
- College of Agriculture, Yangtze University, Jingzhou, Hubei, China
| | - Jianjun Li
- College of Tropical Crops, Hainan University, Haikou, Hainan, China
| | - Liuti Cai
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Ligang Xiang
- College of Agriculture, Yangtze University, Jingzhou, Hubei, China
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Tingting Liu
- College of Agriculture, Yangtze University, Jingzhou, Hubei, China
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Paul H. Goodwin
- School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
| | - Xingjiang Chen
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Ling Wang
- Guizhou Bijie Tobacco Company, Bijie, Guizhou, China
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Sun M, Shi C, Huang Y, Wang H, Li J, Cai L, Luo F, Xiang L, Wang F. Effect of disease severity on the structure and diversity of the phyllosphere microbial community in tobacco. Front Microbiol 2023; 13:1081576. [PMID: 36687583 PMCID: PMC9846082 DOI: 10.3389/fmicb.2022.1081576] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 12/09/2022] [Indexed: 01/05/2023] Open
Abstract
Tobacco target spot is a serious fungal disease and it is important to study the similarities and differences between fungal and bacterial community under different disease severities to provide guidance for the biological control of tobacco target spot. In this study, tobacco leaves at disease severity level of 1, 5, 7 and 9 (S1, S5, S7, and S9) were collected, both healthy and diseased leaf tissues for each level were sampled. The community structure and diversity of fungi and bacteria in tobacco leaves with different disease severities were compared using high-throughput sequencing technology. The results indicated that there was a significant differences in the community structure of fungi and bacteria for both healthy and diseased samples depending on the disease severity. In both healthy and diseased tobacco leaves for all four different disease severities, the most dominant fungal phylum was Basidiomycota with a high prevalence of genus Thanatephorus. The relative abundance of Thanatephorus was most found at S9 diseased samples. Proteobacteria represent the most prominent bacterial phylum, with Pseudomonas as predominant genus, followed by Pantoea. The relative abundance of Pseudomonas was most found at S7 healthy samples. In fungal community, the Alpha-diversity of healthy samples was higher than that of diseased samples. In contrast, in bacterial community, the Alpha-diversity of healthy samples was lower than that of diseased samples. LEfSe analysis showed that the most enrich fungal biomarker was Thanatephorus cucumeris in diseased samples. Clostridium disporicum and Ralstonia pickettii were the most enrich bacterial biomarker in healthy samples. FUNGuild analysis showed that the pathotroph mode was the most abundant trophic modes. The relative abundance of pathotroph mode in diseased samples changes insignificantly, but a peak at S5 was observed for healthy samples. PICRUSt analysis showed that most bacterial gene sequences seem to be independent of the disease severity. The results of this study provide scientific references for future studies on tobacco phyllosphere microecology aiming at prevention and control of tobacco target spot.
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Affiliation(s)
- Meili Sun
- MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River, College of Agriculture, Yangtze University, Jingzhou, China,Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Caihua Shi
- MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River, College of Agriculture, Yangtze University, Jingzhou, China,School of Food Science and Technology & School of Chemical Engineering, Hubei University of Arts and Science, Xiangyang, Hubei, China,*Correspondence: Caihua Shi,
| | - Yang Huang
- China Tobacco Sichuan Industrial Corporation Technical Centre, Chengdu, China
| | - Hancheng Wang
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China,Hancheng Wang,
| | - Jianjun Li
- College of Tropical Crops, Hainan University, Haikou Hainan, China
| | - Liuti Cai
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China
| | - Fei Luo
- College of Life Science, Yangtze University, Jingzhou, China
| | - Ligang Xiang
- MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River, College of Agriculture, Yangtze University, Jingzhou, China
| | - Feng Wang
- Guizhou Provincial Academician Workstation of Microbiology and Health, Guizhou Academy of Tobacco Science, Guiyang, China,Feng Wang,
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Liu N, Yang C, Gao A, Sun M, Lv D. MiR-101: An Important Regulator of Gene Expression and Tumor Ecosystem. Cancers (Basel) 2022; 14:cancers14235861. [PMID: 36497343 PMCID: PMC9739992 DOI: 10.3390/cancers14235861] [Citation(s) in RCA: 2] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/23/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022] Open
Abstract
MiRNAs are small single-stranded non-coding RNAs. MiRNA contributes to the transcriptional and post-transcriptional regulation of mRNA in different cell types, including mRNA transcription inhibition and mRNA decay and phenotypes via the effect of several essential oncogenic processes and tumor microenvironment. MiR-101 is a highly conserved miRNA that was found to alter the expression in various human cancers. MiR-101 has been reported to have tumor oncogenic and suppressive effects to regulate tumorigenesis and tumor progression. In this review, we summarize the new findings about the roles of miR-101 in cancers and the underlying mechanisms of targeting genes degradation and microenvironment regulation, which will improve biological understanding and design of novel therapeutics.
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Affiliation(s)
- Ning Liu
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - Chunsheng Yang
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - Ang Gao
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - Meili Sun
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
- Correspondence: (M.S.); (D.L.)
| | - Deguan Lv
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA
- Correspondence: (M.S.); (D.L.)
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Shi DM, Song L, Sun ML, Li DD, Wang J, Zou HL, Pan XB. [Analysis of 1153 Cases of Forest Encephalitis Reported by Domestic Documents]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:841-845. [PMID: 36510719 DOI: 10.3760/cma.j.cn121094-20211117-00568] [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: 12/15/2022]
Abstract
Objective: To summarize the clinical characteristics, diagnosis and treatment of forest encephalitis, and provide basis for revising relevant diagnostic criteria. Methods: From January to December 2020, the clinical characteristics, diagnosis and treatment of forest encephalitis cases in the data of China National Knowledge Infrastructure (CNKI) and Wanfang Chinese journals from 2009 to 2020 were retrospectively analyzed. The measurement data are expressed in Mean±SD, numbers, and the counting data of gender, region and occupation are expressed in numbers and composition ratio. Descriptive analysis of relevant data is carried out. Results: There were 1 153 confirmed cases of forest encephalitis reported in domestic literature, including 910 males and 243 females. Age: 16-78 years old; Cases were mainly distributed in Jilin Province, Inner Mongolia Autonomous Region and Heilongjiang Province. The cases included forest rangers (112/518), freelancers (104/518) and loggers (88/518). The common symptoms and signs were fever 81.2% (936/1153), headache 70.3% (811/1153), meninges irritation 29.0% (334/1153), vomiting 25.3% (292/1153), nausea 21.8% (251/1153), etc. Only 48.1% (555/1153) of the patients obtained positive pathogenic test results from blood and/or cerebrospinal fluid specimens. 42.1% (485/1153) had definite diagnosis grade, 354 cases were mild, 58 cases were moderate, and 73 cases were severe. Among 730 patients with forest encephalitis who received complete treatment, 511 cases were cured, 148 cases were improved, 48 cases were not cured, and 23 cases died. Conclusion: The epidemic of forest encephalitis has strict regional, seasonal and occupational characteristics. Early diagnosis and treatment can reduce the mortality and disability rate.
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Affiliation(s)
- D M Shi
- Department of Occupational Disease and Poisoning Medicine, Heilongjiang Institute of Occupational Health and Disease, Harbin 150028, China
| | - L Song
- Department of Occupational Disease and Poisoning Medicine, Heilongjiang Institute of Occupational Health and Disease, Harbin 150028, China
| | - M L Sun
- Department of Occupational Disease and Poisoning Medicine, Heilongjiang Institute of Occupational Health and Disease, Harbin 150028, China
| | - D D Li
- Department of Occupational Disease and Poisoning Medicine, Heilongjiang Institute of Occupational Health and Disease, Harbin 150028, China
| | - J Wang
- Department of Occupational Disease and Poisoning Medicine, Heilongjiang Institute of Occupational Health and Disease, Harbin 150028, China
| | - H L Zou
- Department of Occupational Disease and Poisoning Medicine, Heilongjiang Institute of Occupational Health and Disease, Harbin 150028, China
| | - X B Pan
- Department of Occupational Disease and Poisoning Medicine, Heilongjiang Institute of Occupational Health and Disease, Harbin 150028, China
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Shi Y, Wu S, Wang K, Cang S, Yao W, Fan Y, Wu L, Huang M, Li X, Pan Y, Yang Z, Zhu B, Chen G, Shi J, Sun M, Fang J, Wang L, Chen Z, Liu C, Li J, Liu J, Sun S, Zhao Y, Guo Y, Meng Z, Liu Z, Han Z, Lu H, Ma R, Hu S, Zhao G, Liu Z, Xie C, Zhong D, Zhao H, Yu H, Zhang L, Bi M, Yi S, Guo S, Yi T, Li W, Lin Y, Shu Y, Chen Z, Guo Z, Greco M, Wang T, Shen H. Efficacy and Safety of Rezivertinib (BPI-7711) in Patients With Locally Advanced or Metastatic/Recurrent EGFR T790M-Mutated NSCLC: A Phase 2b Study. J Thorac Oncol 2022; 17:1306-1317. [PMID: 36049654 DOI: 10.1016/j.jtho.2022.08.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 08/05/2022] [Accepted: 08/10/2022] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Rezivertinib (BPI-7711) is a novel third-generation EGFR tyrosine kinase inhibitor (TKI) targeting both EGFR-sensitizing mutations and EGFR T790M mutation. This study aimed to evaluate the efficacy and safety of rezivertinib in patients with locally advanced or metastatic/recurrent EGFR T790M-mutated NSCLC. METHODS Patients with locally advanced or metastatic/recurrent NSCLC with confirmed EGFR T790M mutation who progressed after first-/second-generation EGFR TKI therapy or primary EGFR T790M mutation were enrolled. Patients received rezivertinib at 180 mg orally once daily until disease progression, unacceptable toxicity, or withdrawal of consent. The primary end point was objective response rate (ORR) assessed by blinded independent central review per Response Evaluation Criteria in Solid Tumors version 1.1. Secondary end points included disease control rate (DCR), duration of response, progression-free survival (PFS), overall survival, and safety. This study is registered with Clinical Trials.gov (NCT03812809). RESULTS A total of 226 patients were enrolled from July 5, 2019, to January 22, 2020. By the data cutoff date on January 24, 2022, the median duration of follow-up was 23.3 months (95% confidence interval [CI]: 22.8-24.0). The ORR by blinded independent central review was 64.6% (95% CI: 58.0%-70.8%), and DCR was 89.8% (95% CI: 85.1%-93.4%). The median duration of response was 12.5 months (95% CI: 10.0-13.9), and median PFS was 12.2 months (95% CI: 9.6-13.9). The median overall survival was 23.9 months (95% CI: 20.0-not calculated [NC]). Among 91 (40.3%) patients with central nervous system (CNS) metastases, the median CNS PFS was 16.6 months (95% CI: 11.1-NC). In 29 patients with more than or equal to one brain target lesion at baseline, the CNS ORR and CNS DCR were 69.0% (95% CI: 49.2%-84.7%) and 100% (95% CI: 88.1%-100%), respectively. Time to progression of CNS was 16.5 months (95% CI: 9.7-NC). Of 226 patients, 188 (83.2%) had at least one treatment-related adverse event, whereas grade more than or equal to 3 occurred in 45 (19.9%) patients. No interstitial lung disease was reported. CONCLUSIONS Rezivertinib was found to have promising efficacy and favorable safety profile for patients with locally advanced or metastatic/recurrent NSCLC with EGFR T790M mutation.
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Affiliation(s)
- Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, People's Republic of China.
| | - Shiman Wu
- Department of Respiratory Medicine, The First Hospital of Shanxi Medical Univers, Taiyuan, People's Republic of China
| | - Ke Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - Shundong Cang
- Department of Medical Oncology, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China
| | - Wenxiu Yao
- Department of Medical Oncology, Sichuan Cancer Hospital, Chengdu, People's Republic of China
| | - Yun Fan
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, People's Republic of China
| | - Lin Wu
- Department of Thoracic Medical Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China
| | - Meijuan Huang
- Department of Oncology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - Xingya Li
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yueyin Pan
- Department of Thoracic Cancer Chemotherapy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Zhixiong Yang
- Cancer Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, People's Republic of China
| | - Bo Zhu
- Department of Oncology, Institute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, People's Republic of China
| | - Gongyan Chen
- Department of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China
| | - Jianhua Shi
- Department of Medical Oncology, Linyi Cancer Hospital, Linyi, People's Republic of China
| | - Meili Sun
- Department of Oncology, Ji'nan Central Hospital Shandong University, Jinan, People's Republic of China
| | - Jian Fang
- Department of Thoracic Oncology, Beijing Cancer Hospital, Beijing, People's Republic of China
| | - Lijun Wang
- Cancer Center, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, People's Republic of China
| | - Zhaohong Chen
- Department of Oncology, People's Hospital of Deyang City, Deyang, People's Republic of China
| | - Chunling Liu
- Pulmonary Cancer Medicine, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Jingzhang Li
- Department of Oncology, Liuzhou People's Hospital, Liuzhou, People's Republic of China
| | - Jiwei Liu
- Department of Oncology, The First Affiliated Hospital of Dalian Medical University, Dalian, People's Republic of China
| | - Shenghua Sun
- Department of Respiratory Medicine, Third Xiangya Hospital of Central South University, Changsha, People's Republic of China
| | - Yanqiu Zhao
- Department of Respiratory Medicine, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yanzhen Guo
- Department of Medical Oncology, The First Affiliated Hospital of Henan University of Science & Technology, Luoyang, People's Republic of China
| | - Zili Meng
- Department of Respiratory Medicine, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, People's Republic of China
| | - Zhefeng Liu
- Department of Oncology, Chinese PLA General Hospital, Beijing, People's Republic of China
| | - Zhigang Han
- Pulmonary Cancer Medicine, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Hong Lu
- Department of Oncology, Huaihe Hospital of Henan University, Kaifeng, People's Republic of China
| | - Rui Ma
- Department of Thoracic Oncology, Liaoning Cancer Hospital & Institute, Shenyang, People's Republic of China
| | - Sheng Hu
- Department of Thoracic Oncology, Hubei Cancer Hospital, Wuhan, People's Republic of China
| | - Guofang Zhao
- Department of Thoracic Surgery, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, People's Republic of China
| | - Zheng Liu
- Department of Oncology, Handan Central Hospital, Handan, People's Republic of China
| | - Congying Xie
- Department of Radiotherapy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China
| | - Diansheng Zhong
- Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, People's Republic of China
| | - Hui Zhao
- Department of Respiratory Medicine, The Second Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Huiqing Yu
- Department of Palliative Care, Department of Geriatric Oncology, Chongqing University Cancer Hospital, Chongqing, People's Republic of China
| | - Longzhen Zhang
- Department of Radiotherapy, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, People's Republic of China
| | - Minghong Bi
- Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China
| | - Shanyong Yi
- Department of Medical Oncology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, People's Republic of China
| | - Shuliang Guo
- Department of Respiratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Tienan Yi
- Department of Oncology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Sciences, Xiangyang, People's Republic of China
| | - Wen Li
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Yingcheng Lin
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou, People's Republic of China
| | - Yongqian Shu
- Department of Oncology, Jiangsu Province Hospital, Nanjing, People's Republic of China
| | - Zhendong Chen
- Department of Oncology, The Second Hospital of Anhui Medical University, Hefei, People's Republic of China
| | - Zhongliang Guo
- Department of Respiratory Medicine, Shanghai East Hospital, Shanghai, People's Republic of China
| | - Michael Greco
- Department of Drug Discovery, Beta Pharma Inc., Princeton, New Jersey
| | - Tingting Wang
- Department of Clinical Development, Beta Pharma (Shanghai) Co., Ltd., Shanghai, People's Republic of China
| | - Haijiao Shen
- Department of Clinical Development, Beta Pharma (Shanghai) Co., Ltd., Shanghai, People's Republic of China
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Sun M, Xu L, Chen X, Ji Z, Zheng Y, Jia W. BFP Net: Balanced Feature Pyramid Network for Small Apple Detection in Complex Orchard Environment. Plant Phenomics 2022; 2022:9892464. [PMID: 36320456 PMCID: PMC9595048 DOI: 10.34133/2022/9892464] [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] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 08/31/2022] [Indexed: 11/22/2022]
Abstract
Despite of significant achievements made in the detection of target fruits, small fruit detection remains a great challenge, especially for immature small green fruits with a few pixels. The closeness of color between the fruit skin and the background greatly increases the difficulty of locating small target fruits in the natural orchard environment. In this paper, we propose a balanced feature pyramid network (BFP Net) for small apple detection. This network can balance information mapped to small apples from two perspectives: multiple-scale fruits on the different layers of FPN and a characteristic of a new extended feature from the output of ResNet50 conv1. Specifically, we design a weight-like feature fusion architecture on the lateral connection and top-down structure to alleviate the small-scale information imbalance on the different layers of FPN. Moreover, a new extended layer from ResNet50 conv1 is embedded into the lowest layer of standard FPN, and a decoupled-aggregated module is devised on this new extended layer of FPN to complement spatial location information and relieve the problem of locating small apple. In addition, a feature Kullback-Leibler distillation loss is introduced to transfer favorable knowledge from the teacher model to the student model. Experimental results show that APS of our method reaches 47.0%, 42.2%, and 35.6% on the benchmark of the GreenApple, MinneApple, and Pascal VOC, respectively. Overall, our method is not only slightly better than some state-of-the-art methods but also has a good generalization performance.
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Affiliation(s)
- Meili Sun
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
- Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry, Zhenjiang 212013, China
| | - Liancheng Xu
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
| | - Xiude Chen
- National Engineering Research Center for Apple, Shandong Agriculture University, Taian 271018, China
| | - Ze Ji
- School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
| | - Yuanjie Zheng
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
| | - Weikuan Jia
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
- Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry, Zhenjiang 212013, China
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Lu S, Wu L, Jian H, Chen Y, Wang Q, Fang J, Wang Z, Hu Y, Sun M, Han L, Miao L, Ding C, Cui J, Li B, Pan Y, Li X, Ye F, Liu A, Wang K, Cang S, Zhou H, Sun X, Ferry D, Lin Y, Wang S, Zhang W, Zhang C. Sintilimab plus bevacizumab biosimilar IBI305 and chemotherapy for patients with EGFR-mutated non-squamous non-small-cell lung cancer who progressed on EGFR tyrosine-kinase inhibitor therapy (ORIENT-31): first interim results from a randomised, double-blind, multicentre, phase 3 trial. Lancet Oncol 2022; 23:1167-1179. [DOI: 10.1016/s1470-2045(22)00382-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 10/16/2022]
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Lu S, Sun M, Liu Y, Hu Y, Xie Y, Wang Z, Wang D, Yang Z, Liang L, Huo Y, Zhang Y, Huang R, Shi Y, Shen Z, Yu Y. Abstract LB512: RATIONALE-304: The association of tumor mutational burden (TMB) with clinical outcomes of tislelizumab (TIS) + chemotherapy (chemo) versus chemo alone as first-line treatment for advanced non-squamous non-small cell lung cancer (nsq-NSCLC). Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-lb512] [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: In the primary analysis of RATIONALE-304 (NCT03663205), TIS + platinum-based chemo significantly improved clinical outcomes over chemo alone in treatment-naïve advanced nsq-NSCLC (median progression-free survival [PFS] by IRC [9.7 vs 7.6 months, HR=0.645, p=0.0044]). Here we report biomarker analysis of baseline tissue and blood TMB (tTMB and bTMB, respectively).
Methods: Patients with nsq-NSCLC were randomized 2:1 to TIS + platinum + pemetrexed or platinum + pemetrexed. TMB scores were evaluated on baseline tumor and blood samples by OncoScreen Plus®. The Spearman’s rank correlation of tTMB with bTMB was assessed. PFS by independent review committee (primary endpoint) was assessed within subgroups defined by TMB status, using a Cox proportional hazard model with disease stage and programmed death-ligand 1 (PD-L1) expression as stratification factors. Interaction p-values < 0.05 were considered statistically significant without multiplicity adjustment.
Results: Of 325 patients treated in RATIONALE-304, without an EGFR sensitizing mutation, 177 (54.5%) had evaluable tTMB and 107 (32.9%) had evaluable bTMB. Median tTMB and bTMB were 7.2 and 3.1 mut/Mb, respectively. There was a modest correlation between tTMB and bTMB (r=0.71, p < 0.001). Prolonged PFS benefit of adding TIS to chemo was oberved in patients with TMB-high status compared with TMB-low status (Table). Interaction analysis showed that neither tTMB nor bTMB significantly differentiated treatment-specific PFS benefit (interaction p-values > 0.05; Table).
Conclusions: In this retrospective analysis, neither tTMB nor bTMB was significantly associated with PFS benefit, suggesting limited clinical utility of tTMB and bTMB in the setting of TIS + chemo as first-line therapy for advanced nsq-NSCLC.
Association of TMB with PFS benefit of TIS + chemo vs chemo tTMB bTMB Cutoffs mut/Mb N HR (95% CI) Interaction Cutoffs mut/Mb N HR (95% CI) Interaction p-value p-value BEP 177 0.76 (0.46, 1.25) NA BEP 107 0.48 (0.26, 0.87) NA ≥ 8 (TMB-high) 80 0.52 (0.25, 1.10) 0.208 ≥ 4 (TMB-high) 47 0.30 (0.12, 0.75) 0.212 < 8 (TMB-low) 97 0.98 (0.51, 1.88) < 4 (TMB-low) 60 0.64 (0.29, 1.39) BEP, biomarker evaluable population; bTMB, blood tumor mutational burden; CI, confidence interval; HR, hazard ratio; Mb, megabase; mut, mutation; NA, not applicable; PFS, progression-free survival; TIS, tislelizumab; TMB, tumor mutational burden; tTMB, tissue tumor mutational burden
Citation Format: Shun Lu, Meili Sun, Yunpeng Liu, Yanping Hu, Yanyan Xie, Zhehai Wang, Dong Wang, Zhenzhou Yang, Liang Liang, Yi Huo, Yun Zhang, Ruiqi Huang, Yang Shi, Zhirong Shen, Yan Yu. RATIONALE-304: The association of tumor mutational burden (TMB) with clinical outcomes of tislelizumab (TIS) + chemotherapy (chemo) versus chemo alone as first-line treatment for advanced non-squamous non-small cell lung cancer (nsq-NSCLC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr LB512.
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Affiliation(s)
- Shun Lu
- 1Shanghai Chest Hospital, Jiao Tong University, Shanghai, China
| | - Meili Sun
- 2Jinan Central Hospital Affiliated to Shandong University, Shandong, China
| | - Yunpeng Liu
- 3The First Hospital of China Medical University, Shandong, China
| | | | - Yanyan Xie
- 5West China Hospital, Sichuan University, Chengdu, China
| | - Zhehai Wang
- 6Shandong Cancer Hospital, Department of Internal Medicine-Oncology, Jinan, China
| | - Dong Wang
- 7Daping Hospital, Third Military Medical University, Chongqing, China
| | - Zhenzhou Yang
- 8Daping Hospital, Third Military Medical University, Shanghai, China
| | - Liang Liang
- 9Department of Clinical Biomarkers, BeiGene Co. Ltd, Beijing, China
| | - Yi Huo
- 9Department of Clinical Biomarkers, BeiGene Co. Ltd, Beijing, China
| | - Yun Zhang
- 9Department of Clinical Biomarkers, BeiGene Co. Ltd, Beijing, China
| | - Ruiqi Huang
- 9Department of Clinical Biomarkers, BeiGene Co. Ltd, Beijing, China
| | - Yang Shi
- 10Department of Clinical Biomarkers, BeiGene Co. Ltd, Beijing, China
| | - Zhirong Shen
- 9Department of Clinical Biomarkers, BeiGene Co. Ltd, Beijing, China
| | - Yan Yu
- 11Affiliated Tumor Hospital of Harbin Medical University, Harbin, China
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Gong J, Chen L, Sun M, Zhang Y, Ying J, Wang X, Ni M, Zhuang Z, Guo B, Xiao L, Xia S, Shen L. Abstract CT542: Preliminary safety and efficacy results of KN046 in combination with KN026 in patients with locally advanced unresectable or metastatic HER2-positive solid cancer. Cancer Res 2022; 82:CT542-CT542. [DOI: 10.1158/1538-7445.am2022-ct542] [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: 02/05/2023]
Abstract
Abstract
Except breast cancer and gastric cancer, HER2 gene amplification or overexpression is also expressed in other solid tumors, including but not limited to colorectal cancer (CRC), non-small cell lung cancer (NSCLC), gallbladder cancer, renal pelvis cancer and pancreatic cancer. The reports of immunotherapy combined with HER2-targeted therapy are limited. KN046 is a novel bispecific antibody that blocks both PD-L1 interaction with PD-1 and CTLA4 interaction with CD80/CD86. KN026 is a novel bispecific antibody that simultaneously binds to two distinct HER2 epitopes. Here the preliminary safety and efficacy results of KN046 in combination KN026 were reported in patients with locally advanced unresectable or metastatic other solid tumors who received ≥ 1 line prior systemic therapy.
Methods: HER2-positive locally advanced unresectable or metastatic other solid tumors with progression after ≥ 1 line of prior systemic therapy were recruited, including 14 CRC patients, 4 NSCLC patients, 4 gallbladder cancer patients, 1 renal pelvis cancer patient and 1 pancreatic cancer patient. These patients were by KN046 (iv. 5 mg/kg Q3W) plus KN026 (iv. 30 mg/kg Q3W, loading on C1D1, D8) until progression, unacceptable toxicity, or patient withdrawal. Efficacy was assessed according to RECIST 1.1 Q6W. The primary endpoint was objective response rate (ORR).
Results: As of the August 10th, 2021, 24 non-breast or non-gastric cancer patients with the median age of 56 years (range: 37-66) were enrolled. 20 and 24 patients were evaluable for overall response and safety, respectively. The ORR was 55.0% (11 of 20, 95% CI: 31.5-76.9). And the disease control rate (DCR) was 85.0% (17 of 20, 95% CI 62.1-96.8). The 6-month progression-free survival (PFS) rate was 84.1%. 11 CRC patients were evaluable for overall response. The ORR and DCR in CRC was 45.5% (5 of 11, 95% CI: 16.7-76.6) and 90.9% (10 of 11, 95% CI 58.7-99.8), respectively. Twenty of total 24(87.9%) patients suffered from treatment-related adverse events (TRAEs) of any grade. Total 4 of 24 (16.7%) patients had experienced ≥grade 3 TRAEs, including 4 cases related to KN046 and 3 cases related to KN026. The most common (≥10%) TRAEs were infusion related reaction (29.2%), diarrhea (19.4%), alanine aminotransferase increased (16.7%), aspartate aminotransferase increased (16.7%), vomiting(12.5%) and decreased appetite (12.5%). No treatment-related deaths were observed.
Conclusion: This chemotherapy-free regimen of KN046 in combination with KN026 has shown promising clinical efficacy and manageable toxicity in HER2-positive non-breast and non-gastric solid tumors with ≥ 1 line prior systemic therapy.
The trial is currently ongoing. ClinicalTrials.gov Number, NCT04521179
Citation Format: Jifang Gong, Lei Chen, Meili Sun, Yanming Zhang, Jieer Ying, Xiangcai Wang, Mingli Ni, Zhixiang Zhuang, Baohong Guo, Long Xiao, Summer Xia, Lin Shen. Preliminary safety and efficacy results of KN046 in combination with KN026 in patients with locally advanced unresectable or metastatic HER2-positive solid cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr CT542.
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Affiliation(s)
- Jifang Gong
- 1Peking University Cancer Hospital & Institute, Beijing, China
| | - Lei Chen
- 2Department of Oncology, Cancer Hospital Affiliated to Shantou University Medical College, Shantou, China
| | - Meili Sun
- 3Department of Oncology, Jinan Central Hospital, Jinan, China
| | - Yanming Zhang
- 4Department of Oncology, Linfen Central Hospital, Linfen, China
| | - Jieer Ying
- 5Department of Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Xiangcai Wang
- 6Department of Oncology, The First Affiliated Hospital of Gannan Medical College, Ganzhou, China
| | - Mingli Ni
- 7Department of Oncology, Luoyang Central Hospital, Luoyang, China
| | - Zhixiang Zhuang
- 8Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Baohong Guo
- 9Jiangsu Alphamab Biopharmaceuticals Co., Ltd., Suzhou, China
| | - Long Xiao
- 9Jiangsu Alphamab Biopharmaceuticals Co., Ltd., Suzhou, China
| | - Summer Xia
- 9Jiangsu Alphamab Biopharmaceuticals Co., Ltd., Suzhou, China
| | - Lin Shen
- 1Peking University Cancer Hospital & Institute, Beijing, China
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Sun M, Xu L, Luo R, Lu Y, Jia W. Fast Location and Recognition of Green Apple Based on RGB-D Image. Front Plant Sci 2022; 13:864458. [PMID: 35755709 PMCID: PMC9218757 DOI: 10.3389/fpls.2022.864458] [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] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/26/2022] [Indexed: 06/15/2023]
Abstract
In the process of green apple harvesting or yield estimation, affected by the factors, such as fruit color, light, and orchard environment, the accurate recognition and fast location of the target fruit brings tremendous challenges to the vision system. In this article, we improve a density peak cluster segmentation algorithm for RGB images with the help of a gradient field of depth images to locate and recognize target fruit. Specifically, the image depth information is adopted to analyze the gradient field of the target image. The vorticity center and two-dimensional plane projection are constructed to realize the accurate center location. Next, an optimized density peak clustering algorithm is applied to segment the target image, where a kernel density estimation is utilized to optimize the segmentation algorithm, and a double sort algorithm is applied to efficiently obtain the accurate segmentation area of the target image. Finally, the segmentation area with the circle center is the target fruit area, and the maximum value method is employed to determine the radius. The above two results are merged to achieve the contour fitting of the target fruits. The novel method is designed without iteration, classifier, and several samples, which has greatly improved operating efficiency. The experimental results show that the presented method significantly improves accuracy and efficiency. Meanwhile, this new method deserves further promotion.
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Affiliation(s)
- Meili Sun
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
| | - Liancheng Xu
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
| | - Rong Luo
- State Key Laboratory of Biobased Materials and Green Papermaking, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
| | - Yuqi Lu
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
| | - Weikuan Jia
- School of Information Science and Engineering, Shandong Normal University, Jinan, China
- Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry, Zhenjiang, China
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Wu L, Sun S, Qu F, Liu X, Sun M, Pan Y, Zheng Y, Su G. ASCL2 Affects the Efficacy of Immunotherapy in Colon Adenocarcinoma Based on Single-Cell RNA Sequencing Analysis. Front Immunol 2022; 13:829640. [PMID: 35774798 PMCID: PMC9237783 DOI: 10.3389/fimmu.2022.829640] [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: 12/06/2021] [Accepted: 05/06/2022] [Indexed: 11/13/2022] Open
Abstract
Colon adenocarcinoma (COAD) is one of the leading causes of cancer-associated deaths worldwide. Patients with microsatellite instability-high (MSI-H) tumors were shown to highly benefit from immune checkpoint inhibitors (ICIs) than patients with microsatellite stable (MSS) tumors. Furthermore, the infiltration of immune cells and the expression of cancer stem cells (CSCs) in COAD were associated with the anti-tumor immune response. However, the potential mechanisms showing the relationship between microsatellite instability and CSCs or tumor-infiltrating immune cells (TIICs) have not been elucidated. Accumulating evidence reveals that achaete-scute family bHLH transcription factor 2 (ASCL2) plays a crucial role in the initiation and progression of COAD and drug resistance. However, the specific biological functions of ASCL2 in COAD remain unknown. In this study, we performed weighted gene co-expression network analysis (WGCNA) between MSS and MSI-H subsets of COAD. The results revealed that ASCL2 was a potential key candidate in COAD. Subsequently, the single-cell RNA-seq revealed that ASCL2 was positively associated with CSCs. Further, ASCL2 was shown to indirectly affect tumor immune cell infiltration by negatively regulating the expression of DUSP4. Finally, we inferred that the immunotherapy-sensitive role of ASCL2/DUSP4 axis on COAD is partly attributed to the activation of WNT/β-catenin pathway. In conclusion, this study revealed that ASCL2 was positively correlated to CSCs and tumor immune infiltration in COAD. Therefore, ASCL2 is a promising predictor of clinical responsiveness to anti-PD-1/PD-L1 therapy in COAD.
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Affiliation(s)
- Lei Wu
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Research Center of Translational Medicine, Jinan Central Hospital, Shandong University, Jinan, China
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Zhuhai, China
| | - Shengnan Sun
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Research Center of Translational Medicine, Jinan Central Hospital, Shandong University, Jinan, China
| | - Fei Qu
- Department of Pathology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xiuxiu Liu
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Research Center of Translational Medicine, Jinan Central Hospital, Shandong University, Jinan, China
| | - Meili Sun
- Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Zhuhai, China
| | - Ying Pan
- Department of Oncology, Zhuhai People’s Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Yan Zheng
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Yan Zheng, ; Guohai Su,
| | - Guohai Su
- Research Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
- Research Center of Translational Medicine, Jinan Central Hospital, Shandong University, Jinan, China
- *Correspondence: Yan Zheng, ; Guohai Su,
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Wu S, Wang K, Cang S, Yao W, Fan Y, Wu L, Huang M, Li X, Pan Y, Yang Z, Zhu B, Chen G, Shi J, Sun M, Fang J, Wang L, Chen Z, Greco M, Wang T, Shi Y. Efficacy and safety of rezivertinib (BPI-7711) in patients with locally advanced or metastatic/recurrent EGFR T790M-mutated NSCLC: A phase IIb, multicenter, single-arm, open-label study. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.9098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
9098 Background: Rezivertinib (BPI-7711) is a third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) targeting both EGFR-sensitizing mutations and EGFR T790M mutation. This study aimed to evaluate the efficacy and safety of Rezivertinib in patients with locally advanced or metastatic/recurrent EGFR T790M mutated non-small cell lung cancer (NSCLC). Methods: Locally advanced or metastatic/recurrent NSCLC patients with histologic or cytologic or plasmatic confirmation of EGFR T790M mutations who progressed after first/second generation EGFR-TKIs therapy or primary EGFR T790M mutations were enrolled. Patients received Rezivertinib at 180mg orally once daily until disease progression, unacceptable toxicity, or withdrawal of consent. The primary endpoint was objective response rate (ORR) assessed by blinded independent central review (BICR) per RECIST1.1. The efficacy for patients with central nervous system (CNS) metastases was measured by BICR according to the Response Assessment in Neuro-Oncology Brain Metastases. Secondary endpoints included disease control rate (DCR), duration of response (DoR), progression-free survival (PFS), overall survival (OS) and safety. Safety was assessed as per CTCAE 4.03. Results: A total of 226 patients were enrolled from Jul 5, 2019, to Jan 22, 2020. 91 (40.3%) patients had brain metastases. The tissue sample and plasma sample were positive for EGFR T790M in 120 (53.1%) and 116 (51.3%) patients, respectively. By the data cutoff date on Dec 23, 2021, the ORR by BICR was 64.6% (95%CI:58.0-70.8) and DCR was 89.8% (95%CI:85.1-93.4). The median DoR was 12.5 (95%CI:10.0-13.9) months and median PFS was 12.2 (95%CI:9.6-13.9) months. The median OS was 23.9 (95%CI:20.0-NC) months. Subgroup ORR: exon 19 deletion 72.4% (95%CI:64.4-79.5), L858R 51.9% (95%CI:40.4-63.3), tissue T790M positive 70% (95%CI:61.0-78.0), plasma T790M positive 56.9% (95%CI:47.4-66.1). Subgroup PFS: exon 19 deletion 12.4 (95%CI:8.8-15.1) months, L858R 10.3 (95%CI:8.3-13.9) months, tissue T790M positive 13.9 (95%CI:11.3-17.9) months, plasma T790M positive 9.6 (95%CI:7.0-11.0) months. Among 91 patients with CNS metastases, 29 patients had at least one brain target lesion whose CNS-ORR and CNS-DCR were 69.0% (95%CI:49.2-84.7) and 100% (95%CI:88.1-100), respectively. Time to progression of CNS was 16.5 (95%CI:9.7-NC) months. 188 of 226 (83.2%) patients had at least one adverse drug reaction, with the most common being white blood cell count decreased (27.9%), platelet count decreased (23.0%), anemia (22.6%). No interstitial lung disease was reported. Conclusions: Rezivertinib demonstrated promising efficacy and favorable safety for locally advanced or metastatic/recurrent NSCLC patients with EGFR T790M mutation. Clinical trial information: NCT003812809.
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Affiliation(s)
- Shiman Wu
- The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ke Wang
- West China Hospital of Sichuan University, Chengdu, China
| | - Shundong Cang
- Department of Oncology, The Henan Province Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenxiu Yao
- Sichuan Cancer Hospital & Institute, Chengdu, China
| | - Yun Fan
- Zhejiang Cancer Hospital, Hangzhou, China
| | - Lin Wu
- Hunan Cancer Hospital, Changsha, China
| | - Meijuan Huang
- West China Hospital of Sichuan University, Chengdu, China
| | - Xingya Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Zhixiong Yang
- Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Bo Zhu
- The Second Affiliated Hospital of Army Medical University, PLA, Chongqing, China
| | - Gongyan Chen
- Department of Respiration, Harbin Medical University Cancer Hospital, Harbin, China
| | | | - Meili Sun
- Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jian Fang
- Peking University Cancer Hospital, Beijing, China
| | - Lijun Wang
- The Second Affiliated Hospital of Xingtai Medical College, Xingtai, China
| | | | | | | | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
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Gong J, Li N, Guo W, Zhang J, Li H, Zhao F, Li W, Sun M, Xia Z, Shen Y, Wang J, Lu L, Qi C, Qian X, Shi M, Shen L. A phase I study of TST001, a high affinity humanized anti-CLDN18.2 monoclonal antibody, in combination with capecitabine and oxaliplatin (CAPOX) as a first-line treatment of advanced G/GEJ cancer. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.4062] [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
4062 Background: TST001 is a recombinant humanized IgG1 antibody specifically against human Claudin 18.2 (CLDN18.2) with high affinity and enhanced FcR engaging of NK cells, which can induce strong antibody-dependent cellular cytotoxicity (ADCC) activities. TST001 monotherapy dose-escalation study has been completed (IGCC2022-ABS-1152) and promising anti-tumor activities were observed in advanced gastric cancer patients with CLDN18.2 overexpression who had failed multiple lines of prior therapies. The current study is an open-label, multi-center, multiple cohorts, phase I clinical trial of TST001 monotherapy or in combination with standard treatments in Chinese patients with advanced or metastatic solid tumors (NCT04495296). Methods: This cohort is aimed to determine the recommended phase II dose, evaluate safety, tolerability and preliminary efficacy of TST001 in combination with CAPOX as a 1st line treatment of advanced G/GEJ cancer. A 3+3 design was utilized in the dose escalation phase with treatment naïve advanced G/GEJ cancer patients regardless of Claudin18.2 expression. Claudin 18.2 positive G/GEJ cancer patients were planned to be enrolled in the dose expansion phase in selected dose cohorts. Results: The TST001/CAPOX combination cohort was initiated in August 2021 and is ongoing in multiple sites in China with a data cutoff date of January 27, 2022. 12 subjects were dosed with TST001 with a dose range from 1 to 8mg/kg Q3W in combination with the standard dose of CAPOX in the dose escalation phase and one subject with central lab tested Claudin 18.2 overexpression was dosed in the expansion phase of TST001 at 6mg/kg Q3W with CAPOX. There was no subject experienced dose-limiting toxicity. Treatment-emergent adverse events (TEAEs) were mostly grade 1-2, including nausea (76.9%), anemia (69.2%), vomiting, AST increased (63.8% respectively), hypoalbuminemia, ALT increased (46.2%, respectively). Treatment related grade 3 AEs were hypertension (15.4%), anemia, hypoproteinemia, WBC count decreased, hypocalcemia aggravated (7.7%, respectively). Among the eight patients from the dose escalation part (with no CLDN18.2 expression selection yet with measurable disease ) with at least one post-treatment tumor assessment, four had achieved partial response, three had achieved stable disease and one had progressive disease as the best tumor response per RECIST1.1. Conclusions: Conclusion: TST001 in combination with CAPOX in first line gastric cancer patients is safe and encouraging anti-tumor activities have been observed. Additional data from the 6 mg/kg dose expansion cohort will be updated at the meeting. Clinical trial information: NCT04495296.
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Affiliation(s)
- Jifang Gong
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Ning Li
- The Afliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Weijian Guo
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jian Zhang
- Phase I Clinical Trial Center, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Hongli Li
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Fuyou Zhao
- The First Affiliated Hospital, Bengbu Medical College, Bengbu, China
| | - Wei Li
- The First Hospital of Jilin University, Jilin, China
| | - Meili Sun
- Jinan Central Hospital Affiliated to Shandong University, Jinan, China
| | - Zhenzhong Xia
- Suzhou Transcenta Therapeutics Co., Ltd., Suzhou, China
| | - Yu Shen
- Suzhou Transcenta Therapeutics Co., Ltd., Suzhou, China
| | - Jianming Wang
- Suzhou Transcenta Therapeutics Co., Ltd., Princeton, NJ
| | - Lingmin Lu
- Suzhou Transcenta Therapeutics Co., Ltd., Suzhou, NJ, China
| | - Chuan Qi
- Suzhou Transcenta Therapeutics Co., Ltd., Shanghai, China
| | - Xueming Qian
- Suzhou Transcenta Therapeutics Co., Ltd., Suzhou, China
| | - Michael Shi
- Suzhou Transcenta Therapeutics Co., Ltd., Suzhou, NJ, China
| | - Lin Shen
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China
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Zhou C, Wang Z, Sun M, Cao L, Ma Z, Wu R, Yu Y, Yao W, Sun S, Chen J, Zhuang W, Cui J, Chen X, Lu Y, Hu C, Wang J, Chen R, Qin M, Wang H, Yang J. A protocol pre-specified interim overall survival (OS) analysis of GEMSTONE-302: A phase 3 study of sugemalimab (suge) versus placebo plus platinum-based chemotherapy (chemo) as first-line (1L) treatment for patients (pts) with metastatic non–small cell lung cancer (NSCLC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.9027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
9027 Background: GEMSTONE-302, a randomized, double-blind, phase 3 study, previously met its primary endpoint and demonstrated statistically significant and clinically meaningful prolongation of progression-free survival (PFS) with suge+chemo vs placebo+chemo as a 1L treatment in pts with metastatic NSCLC. PFS benefit was observed in both squamous (sq) and non-squamous (nsq) NSCLC, regardless of PD-L1 expression levels. Here we report the data from a protocol pre-specified interim OS analysis. Methods: Pts with systemic treatment-naïve stage IV NSCLC, measurable disease per RECIST v1.1, ECOG PS 0-1, and no known EGFR, ALK, ROS1 and RET alterations were randomized 2:1 to receive suge (1200 mg, IV) or placebo plus chemo (sq-NSCLC: carboplatin+paclitaxel; nsq-NSCLC: carboplatin+pemetrexed) every 3 weeks for up to 4 cycles, followed by maintenance therapy (sq-NSCLC: suge/placebo; nsq-NSCLC: suge/placebo+pemetrexed) for up to 35 cycles. The primary endpoint was investigator assessed PFS (INV-PFS). Key secondary endpoints included OS, INV-PFS in pts with tumor PD-L1 expression ≥1%, and ORR. Pts in the placebo group could cross over to receive suge monotherapy upon disease progression. Results: As of 22 Nov 2021, among all 479 enrolled pts, 51 (15.9%) and 7 (4.4%), respectively, remained on treatment with suge+chemo or placebo+chemo. The median follow-up was 25.4 and 24.9 months, respectively. Following treatment discontinuation, 17.8% and 43.4% of the pts, respectively, received cross-over suge or other non-study anti-PD-(L)1-containing therapies. Median OS was 25.4 months in suge+chemo group vs 16.9 months in placebo+chemo group (HR = 0.65 [95%CI, 0.50-0.84], p = 0.0008), and 2-year OS rate was 51.7% vs 35.6%. OS benefits were observed across all subgroups including different tumor histologies (sq: HR = 0.56; nsq: HR = 0.72) and PD-L1 expression levels (≥1%: HR = 0.64; < 1%: HR = 0.66). In the intent-to-treat population, median PFS was 9.0 months with suge+chemo vs 4.9 months with placebo+chemo (HR = 0.49 [0.40-0.61]), and 2-year PFS rate was 20.8% vs 7.3%. In pts with PD-L1≥1%, the median PFS was 10.9 vs 4.9 months (HR = 0.48 [0.36-0.63], p < 0.0001). ORR was 63.4% vs 40.3% (p < 0.0001). Among pts with baseline brain metastases, suge+chemo improved their OS (HR = 0.45) and intracranial INV-PFS (post-hoc analysis, HR = 0.33) vs placebo+chemo. Safety profile was consistent with previously reported results. Conclusions: Suge plus chemo demonstrated statistically significant and clinically meaningful OS improvement compared with placebo plus chemo, irrespective of tumor histology or PD-L1 expression levels, in pts with newly diagnosed metastatic NSCLC, offering a new 1L treatment option for this group of pts. Clinical trial information: NCT03789604.
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Affiliation(s)
- Caicun Zhou
- Oncology Department, Shanghai Pulmonary Hospital, Shanghai, China
| | - Ziping Wang
- Peking University Cancer Hospital and Institute, Beijing, China
| | - Meili Sun
- Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Lejie Cao
- Department of Respiratory and Critical Care Medicine, Anhui Provincial Hospital, Hefei, China
| | - Zhiyong Ma
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Rong Wu
- Department of Oncology, Shengjing Hospital of China Medical University, Shengyang, China
| | - Yan Yu
- Harbin Medical University Cancer Hospital, Harbin, China
| | - Wenxiu Yao
- Sichuan Cancer Hospital & Institute, Chengdu, China
| | - Si Sun
- Fudan University Shanghai Cancer Center, Shanghai, China
| | | | - Wu Zhuang
- Fujian Provincial Cancer Hospital, Fuzhou, China
| | - Jiuwei Cui
- The First Hospital of Jilin University, Changchun, China
| | - Xueqin Chen
- The Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - You Lu
- Department of Thoracic Oncology, Cancer Centre, Sichuan University West China Hospital, Chengdu, China
| | - Chunhong Hu
- The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jingru Wang
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Rumei Chen
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Mengmeng Qin
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Hao Wang
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Suzhou, China
| | - Jason Yang
- CStone Pharmaceuticals (Su Zhou) Co., Ltd., Shanghai, China
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Lu S, Dong X, Jian H, Chen J, Chen G, Sun Y, Ji Y, Wang Z, Shi J, Lu J, Chen S, Lv D, Zhang G, Liu C, Li J, Yu X, Lin Z, Yu Z, Wang Z, Cui J, Xu X, Fang J, Feng J, Xu Z, Ma R, Hu J, Yang N, Zhou X, Wu X, Hu C, Zhang Z, Lu Y, Hu Y, Jiang L, Wang Q, Guo R, Zhou J, Li B, Hu C, Tong W, Zhang H, Ma L, Chen Y, Jie Z, Yao Y, Zhang L, Jie W, Li W, Xiong J, Ye X, Duan J, Yang H, Sun M, Sun C, Wei H, Li C, Ali SM, Miller VA, Wu Q. AENEAS: A Randomized Phase III Trial of Aumolertinib Versus Gefitinib as First-Line Therapy for Locally Advanced or MetastaticNon-Small-Cell Lung Cancer With EGFR Exon 19 Deletion or L858R Mutations. J Clin Oncol 2022; 40:3162-3171. [PMID: 35580297 PMCID: PMC9509093 DOI: 10.1200/jco.21.02641] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [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] [Indexed: 02/05/2023] Open
Abstract
Aumolertinib (formerly almonertinib; HS-10296) is a novel third-generation epidermal growth factor receptor tyrosine kinase inhibitor approved in China. This double-blind phase III trial evaluated the efficacy and safety of aumolertinib compared with gefitinib as a first-line treatment for locally advanced or metastatic EGFR-mutated non–small-cell lung cancer (NSCLC; ClinicalTrials.gov identifier: NCT03849768).
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Affiliation(s)
- Shun Lu
- Department of Medical Oncology, Shanghai Chest Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Xiaorong Dong
- Cancer Center, Union Hospital Tongji Medical College Huazhong University of Science and Technology, Wuhan, China
| | - Hong Jian
- Department of Medical Oncology, Shanghai Chest Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Jianhua Chen
- Department of Medical Oncology-Chest, Hunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Gongyan Chen
- Thoracic Oncology Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yuping Sun
- Department of Oncology, Jinan Central Hospital, Jinan, China
| | - Yinghua Ji
- Department of Oncology, First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Ziping Wang
- Department of Chest Medicine, Beijing Cancer Hospital, Beijing, China
| | - Jianhua Shi
- Department of Internal Medicine, Linyi Cancer Hospital, Linyi, China
| | - Junguo Lu
- Departments of Respiratory Medicine, Nantong Tumor Hospital, Nantong, China
| | - Shaoshui Chen
- Department of Oncology, Binzhou Medical University Hospital, Binzhou, China
| | - Dongqing Lv
- Breath Internal Medicine, Taizhou Hospital of Zhejiang Province, Linhai, China
| | - Guojun Zhang
- Department of Respiration, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chunling Liu
- Department of Lung Internal Medicine, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Juan Li
- Department of Thoracic Oncology, Sichuan Cancer Hospital, Chengdu, China
| | - Xinmin Yu
- Thoracic Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Zhong Lin
- Department of Thoracic Oncology, The Fifth Subsidiary Sun Yat-sen University Hospital, Zhuhai, China
| | - Zhuang Yu
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zhehai Wang
- Department of Oncology, Shandong Cancer Hospital, Jinan, China
| | - Jiuwei Cui
- Department of Oncology, The First Bethune Hospital of Jilin University, Changchun, China
| | - Xingxiang Xu
- Department of Respiration, Northern Jiangsu People's Hospital, The Affiliated Hospital to Yangzhou University, Yangzhou, China
| | - Jian Fang
- Department of Chest Medicine, Beijing Cancer Hospital, Beijing, China
| | - Jifeng Feng
- Department of Internal Medicine, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zhi Xu
- Department of Respiration, Xinqiao Hospital, The Second Affiliated Hospital of China PLA Army Medical University, Chongqing, China
| | - Rui Ma
- Department of Chest Internal Medicine, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Jie Hu
- Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Nong Yang
- Lung & Gastrointestinal Oncology Department, Hunan Cancer Hospital (The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University), Changsha, China
| | - Xiangdong Zhou
- Department of Respiratory and Critical Care Medicine, the Southwest Hospital of AMU, The First Affiliated Hospital of PLA Army Medical University, Chongqing, China
| | - Xiaohong Wu
- Department of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Chengping Hu
- Respiratory Medicine, Xiangya Hospital Central South University, Changsha, China
| | - Zhihong Zhang
- Department of Respiration Oncology, Anhui Provincial Cancer Hospital, Hefei, China
| | - You Lu
- Department of Thoracic Oncology, West China Hospital of Sichuan University, Chengdu, China
| | - Yanping Hu
- Department of Thoracic Oncology, Hubei Cancer Hospital, Wuhan, China
| | - Liyan Jiang
- Department of Respiration, Shanghai Chest Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Qiming Wang
- Department of Respiration, Henan Cancer Hospital, Zhengzhou, China
| | - Renhua Guo
- Department of Oncology, Jiangsu Province Hospital, Nanjing, China
| | - Jianying Zhou
- Department of Respiratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Baolan Li
- Department of Oncology Internal Medicine, Beijing Chest Hospital, Capital Medical Hospital, Beijing, China
| | - Chunhong Hu
- Department of Oncology, Xiangya Second Hospital of Central South University, Changsha, China
| | - Wancheng Tong
- Department of Infection Internal Medicine, Nanfang Hospital, Nanfang Medical University, Guangzhou, China
| | - Helong Zhang
- Department of Oncology, The Second Affiliated Hospital of Air Force Military Medical University, Xi'An, China
| | - Lin Ma
- Department of Respiration, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yuan Chen
- Department of Oncology, Tongji Medical College Huazhong University of Science & Technology, Wuhan, China
| | - Zhijun Jie
- Department of Respiratory and Critical Care Medicine, Shanghai Fifth People's Hospital, Fudan University Shanghai, China
| | - Yu Yao
- Department of Oncology Internal Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'An, China
| | - Longzhen Zhang
- Radiotherapy Department, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Weng Jie
- Department of Oncology, Yueyang Central Hospital, Yueyang, China
| | - Weidong Li
- Department of Internal Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Jianping Xiong
- Department of Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xianwei Ye
- Department of Respiratory and Critical Care Medicine, GuiZhou Provincial People's Hospital, Guiyang, China
| | - Jianchun Duan
- Department of Internal Medicine, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Haihua Yang
- Radiotherapy Section, Taizhou Hospital of Zhejiang Province, Linhai, China
| | - Meili Sun
- Department of Oncology Internal Medicine, Jinan Central Hospital Affiliated to Shandong University, Jinan, China
| | - Changan Sun
- Hansoh Pharmaceutical Group Co. Ltd, Shanghai, China
| | - Hongying Wei
- Hansoh Pharmaceutical Group Co. Ltd, Shanghai, China
| | - Chuan Li
- Hansoh Pharmaceutical Group Co. Ltd, Shanghai, China
| | | | | | - Qiong Wu
- Hansoh Pharmaceutical Group Co. Ltd, Shanghai, China
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Niu S, Zhang Y, Cong C, Wu Z, Wang Z, Sun M, Yao C, Zhang Y. Comparative Study of Radiation-induced Lung Injury Model in Two Strains of Mice. Health Phys 2022; 122:579-585. [PMID: 35195088 DOI: 10.1097/hp.0000000000001532] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Radiation-induced lung injury (RILI) is a common complication of radiotherapy for thoracic tumor. Its incidence rate is as high as 20%. At present, there is no effective treatment in clinical practice. However, to study the mechanism of radiation-induced lung injury, we should first establish an appropriate animal model. In a series of scientific studies on RILI, mice are the animals most often chosen by researchers. However, there are few reports on which strain of mice is more suitable as a model of RILI. In this study, Kunming (KM) and C57BL/6 strains of mice were used as research objects to find the most suitable mice to replicate the RILI model. C57BL/6 mice and KM mice were exposed to irradiation at a dose of 20 Gy. The lung tissue of C57BL/6 mice exposed to radiation showed dilation and hyperemia of capillaries, infiltration of inflammatory cells, and thickening of alveolar septum, while the lung tissue of KM mice exposed to radiation was not as obvious as that of C57BL/6 mice. After irradiation, the expression of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) in the lung tissue of C57BL/6 mice was significantly increased, while the expression of IL-6 and TNF-α in KM mice was almost unchanged. These studies showed that C57BL/6 mice are more suitable for the model of radiation-induced lung injury because of sensitive inflammatory reaction and the pathological changes of lung tissue.
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Affiliation(s)
- Shiying Niu
- Shandong First Medical University, College of Basic Medicine, Shandong First Medical University-Shandong Academy of Medical Sciences, Jinan, Shandong, 250000, China
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He M, Hu Y, Wang D, Sun M, Li H, Yan P, Meng Y, Zhang R, Li L, Yu D, Wang X. Value of CT-Based Radiomics in Predicating the Efficacy of Anti-HER2 Therapy for Patients With Liver Metastases From Breast Cancer. Front Oncol 2022; 12:852809. [PMID: 35463302 PMCID: PMC9021495 DOI: 10.3389/fonc.2022.852809] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 01/11/2022] [Accepted: 02/24/2022] [Indexed: 12/09/2022] Open
Abstract
Objective This study aims to assess the performance of machine learning (ML)-based contrast-enhanced CT radiomics analysis for predicating the efficacy of anti-HER2 therapy for patients with liver metastases from breast cancer. Methods This retrospective study analyzed 83 patients with breast cancer liver metastases. Radiomics features were extracted from arterial phase, portal venous phase, and delayed phase images, respectively. The intraclass correlation coefficient (ICC) was calculated to quantify the reproducibility of features. The training and validation sets consisted of 58 and 25 cases. Variance threshold, SelectKBest, and LASSO logistic regression model were employed for feature selection. The ML classifiers were K-nearest-neighbor algorithm (KNN), support vector machine (SVM), XGBoost, RF, LR, and DT, and the performance of classifiers was evaluated by ROC analysis. Results The SVM classifier had the highest score in portal venous phase. The results were as follows: The AUC value of the poor prognosis group in validation set was 0.865, the sensitivity was 0.77, and the specificity was 0.83. The AUC value of the good prognosis group in validation set was 0.865, the sensitivity was 0.83, and the specificity was 0.77. In arterial phase, the XGBoost classifier had the highest score. The AUC value of the poor prognosis group in validation set was 0.601, the sensitivity was 0.69, and the specificity was 0.38. The AUC value of the good prognosis group in validation set was 0.601, the sensitivity was 0.38, and the specificity was 0.69. The LR classifier had the highest score in delayed phase. The AUC value of poor prognosis group in validation set was 0.628, the sensitivity was 0.62, and the specificity was 0.67. The AUC value of the good prognosis group in validation set was 0.628, the sensitivity was 0.67, and the specificity was 0.62. Conclusion Radiomics analysis represents a promising tool in predicating the efficacy of anti-HER2 therapy for patients with liver metastases from breast cancer. The ROI in portal venous phase is most suitable for predicting the efficacy of anti-HER2 therapy, and the SVM algorithm model has the best efficiency.
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Affiliation(s)
- Miao He
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yu Hu
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Dongdong Wang
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Meili Sun
- Department of Oncology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Huijie Li
- Department of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Peng Yan
- Department of Oncology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Oncology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yingxu Meng
- Department of Comprehensive Section of Medical Affairs, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ran Zhang
- Huiying Medical Technology Co. Ltd, Beijing, China
| | - Li Li
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Dexin Yu
- Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiuwen Wang
- Department of Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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Wang J, Wu D, Sun M, Peng Z, Lin Y, Lin H, Chen J, Long T, Li ZP, Xie C, Huang B, Feng ST. Deep Segmentation Feature-Based Radiomics Improves Recurrence Prediction of Hepatocellular Carcinoma. BME Front 2022; 2022:9793716. [PMID: 37850181 PMCID: PMC10521680 DOI: 10.34133/2022/9793716] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 02/01/2022] [Indexed: 10/19/2023] Open
Abstract
Objective and Impact Statement. This study developed and validated a deep semantic segmentation feature-based radiomics (DSFR) model based on preoperative contrast-enhanced computed tomography (CECT) combined with clinical information to predict early recurrence (ER) of single hepatocellular carcinoma (HCC) after curative resection. ER prediction is of great significance to the therapeutic decision-making and surveillance strategy of HCC. Introduction. ER prediction is important for HCC. However, it cannot currently be adequately determined. Methods. Totally, 208 patients with single HCC after curative resection were retrospectively recruited into a model-development cohort (n = 180 ) and an independent validation cohort (n = 28 ). DSFR models based on different CT phases were developed. The optimal DSFR model was incorporated with clinical information to establish a DSFR-C model. An integrated nomogram based on the Cox regression was established. The DSFR signature was used to stratify high- and low-risk ER groups. Results. A portal phase-based DSFR model was selected as the optimal model (area under receiver operating characteristic curve (AUC): development cohort, 0.740; validation cohort, 0.717). The DSFR-C model achieved AUCs of 0.782 and 0.744 in the development and validation cohorts, respectively. In the development and validation cohorts, the integrated nomogram achieved C-index of 0.748 and 0.741 and time-dependent AUCs of 0.823 and 0.822, respectively, for recurrence-free survival (RFS) prediction. The RFS difference between the risk groups was statistically significant (P < 0.0001 and P = 0.045 in the development and validation cohorts, respectively). Conclusion. CECT-based DSFR can predict ER in single HCC after curative resection, and its combination with clinical information further improved the performance for ER prediction.
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Affiliation(s)
- Jifei Wang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Dasheng Wu
- Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina
| | - Meili Sun
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhenpeng Peng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yingyu Lin
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hongxin Lin
- Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina
| | - Jiazhao Chen
- Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina
| | - Tingyu Long
- Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina
| | - Zi-Ping Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chuanmiao Xie
- Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Bingsheng Huang
- Medical AI Lab, School of Biomedical Engineering, Health Science Centre, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, ShenzhenChina
| | - Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Sun M, Shu J, Zhao C, Wu J, Guo H, Guo Y, Yin X, Lin Y, Tan Z, He M, Wang L. Interface Modification with CuCrO 2 Nanocrystals for Highly Efficient and Stable Planar Perovskite Solar Cells. ACS Appl Mater Interfaces 2022; 14:13352-13360. [PMID: 35289163 DOI: 10.1021/acsami.2c00388] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The interfaces between the absorber and charge transport layers are shown to be critical for the performance of perovskite solar cells (PSCs). PSCs based on the Spiro-OMeTAD hole transport layers generally suffer from the problems of stability and reproducibility. Inorganic hole transport materials CuCrO2 have good chemical stability and high hole mobility. Herein, we reported the preparation of the delafossite-type CuCrO2 nanocrystals with a template-etching-calcination method and the incorporation of the as-obtained CuCrO2 nanocrystals at the perovskite/Spiro-OMeTAD interfaces of planar PSCs to improve the device efficiency and stability. Compared with the traditional hydrothermal method, the template-etching-calcination method used less calcination time to prepare CuCrO2 nanocrystals. After the CuCrO2 interface modification, the efficiency of PSCs improved from 18.08% to 20.66%. Additionally, the CuCrO2-modified PSCs showed good stability by retaining nearly 90% of the initial PCE after being stored in a drybox for 30 days. The template-etching-calcination strategy will pave a new approach for the synthesis of high-performance inorganic hole-transporting materials.
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Affiliation(s)
- Meili Sun
- State Key Laboratory of Chemical Resource Engineering, Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
- CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Junfeng Shu
- State Key Laboratory of Chemical Resource Engineering, Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Caixiang Zhao
- State Key Laboratory of Chemical Resource Engineering, Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Jinpeng Wu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Photochemistry, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Haodan Guo
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Photochemistry, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Yanjun Guo
- CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Xiong Yin
- State Key Laboratory of Chemical Resource Engineering, Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Yuan Lin
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Photochemistry, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Zhan'ao Tan
- State Key Laboratory of Chemical Resource Engineering, Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Meng He
- CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
- School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Leyu Wang
- State Key Laboratory of Chemical Resource Engineering, Innovation Centre for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
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Wang ZX, Cui C, Yao J, Zhang Y, Li M, Feng J, Yang S, Fan Y, Shi J, Zhang X, Shen L, Shu Y, Wang C, Dai T, Mao T, Chen L, Guo Z, Liu B, Pan H, Cang S, Jiang Y, Wang J, Ye M, Chen Z, Jiang D, Lin Q, Ren W, Wang J, Wu L, Xu Y, Miao Z, Sun M, Xie C, Liu Y, Wang Q, Zhao L, Li Q, Huang C, Jiang K, Yang K, Li D, Liu Y, Zhu Z, Chen R, Jia L, Li W, Liao W, Liu HX, Ma D, Ma J, Qin Y, Shi Z, Wei Q, Xiao K, Zhang Y, Zhang Y, Chen X, Dai G, He J, Li J, Li G, Liu Y, Liu Z, Yuan X, Zhang J, Fu Z, He Y, Ju F, Liu Z, Tang P, Wang T, Wang W, Zhang J, Luo X, Tang X, May R, Feng H, Yao S, Keegan P, Xu RH, Wang F. Toripalimab plus chemotherapy in treatment-naïve, advanced esophageal squamous cell carcinoma (JUPITER-06): A multi-center phase 3 trial. Cancer Cell 2022; 40:277-288.e3. [PMID: 35245446 DOI: 10.1016/j.ccell.2022.02.007] [Citation(s) in RCA: 141] [Impact Index Per Article: 70.5] [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: 11/02/2021] [Revised: 01/05/2022] [Accepted: 02/06/2022] [Indexed: 02/05/2023]
Abstract
Platinum-based chemotherapy is the standard first-line treatment for advanced esophageal squamous cell carcinoma (ESCC). In this phase 3 study (ClinicalTrial.gov: NCT03829969), 514 patients with treatment-naïve advanced ESCC were randomized (1:1) to receive toripalimab or placebo in combination with paclitaxel plus cisplatin (TP) every 3 weeks for up to 6 cycles, followed by toripalimab or placebo maintenance. At the prespecified final analysis of progression-free survival (PFS), a significant improvement in PFS is observed for the toripalimab arm over the placebo arm (hazard ratio [HR] = 0.58; 95% CI, 0.46-0.74; p < 0.0001). The prespecified interim analysis of overall survival (OS) also reveals a significant OS improvement for patients treated with toripalimab plus TP over placebo plus TP (HR = 0.58; 95% CI, 0.43-0.78; p = 0.0004). The incidences of grade ≥3 treatment-emergent adverse events are similar between the two arms. Toripalimab plus TP significantly improves PFS and OS in patients with treatment-naïve, advanced ESCC, with a manageable safety profile.
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Affiliation(s)
- Zi-Xian Wang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
| | - Chengxu Cui
- Cancer Hospital Chinese Academy of Medical Sciences, Beijing 100021, China
| | - Jun Yao
- The First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471000, China
| | - Yanqiao Zhang
- Harbin Medical University Cancer Hospital, Harbin 150081, China
| | - Mengxia Li
- Army Medical Center of PLA, Chongqing 400042, China
| | - Jifeng Feng
- Jiangsu Cancer Hospital, Nanjing 210009, China
| | - Shujun Yang
- Henan Cancer Hospital & Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Yun Fan
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | | | - Xizhi Zhang
- The Northern Jiangsu People's Hospital, Yangzhou 225001, China
| | - Lin Shen
- Beijing Cancer Hospital, Beijing 100142, China
| | - Yongqian Shu
- Jiangsu Province Hospital, Nanjing 210029, China
| | - Cailian Wang
- Zhongda Hospital Southeast University, Nanjing 210009, China
| | - Tianyang Dai
- The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China
| | - Teng Mao
- Shanghai Chest Hospital, Shanghai 200030, China
| | - Long Chen
- Guangxi Medical University Affiliated Tumor Hospital, Nanning 530000, China
| | | | - Bo Liu
- Shandong Cancer Hospital, Jinan 250117, China
| | - Hongming Pan
- Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Shundong Cang
- Henan Provincial People's Hospital, Zhengzhou 450000, China
| | - Yi Jiang
- The Affiliated Cancer Hospital of Shantou University Medical College, Shantou 515000, China
| | - Junye Wang
- Affiliated Hospital of Jining Medical University, Jining 272000, China
| | - Min Ye
- Jiangmen Central Hospital, Jiangmen 529000, China
| | - Zhendong Chen
- The Second Hospital of Anhui Medical University, Hefei 230000, China
| | - Da Jiang
- The Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Qin Lin
- The First Affiliated Hospital of Xiamen University, Xiamen 361000, China
| | - Wei Ren
- Nanjing Drum Tower Hospital, Nanjing 530000, China
| | | | - Lin Wu
- Hunan Cancer Hospital, Changsha 410000, China
| | - Yong Xu
- West China Hospital of Sichuan University, Chengdu 610000, China
| | - Zhanhui Miao
- The First Affiliated Hospital of Xinxiang Medical University, Weihui 453100, China
| | - Meili Sun
- Jinan Central Hospital, Jinan 250000, China
| | - Conghua Xie
- Zhongnan Hospital of Wuhan University, Wuhan 430000, China
| | - Ying Liu
- Henan Cancer Hospital & Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Qifeng Wang
- Sichuan Cancer Hospital, Chengdu 610000, China
| | - Lina Zhao
- Xijing Hospital, Xi'an 710000, China
| | - Qi Li
- Shanghai General Hospital, Shanghai 200000, China
| | | | - Ke Jiang
- Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430000, China
| | - Kunyu Yang
- Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430000, China
| | - Daojun Li
- Yichang Central People's Hospital, Yichang 443000, China
| | - Yunpeng Liu
- The First Hospital of China Medical University, Shenyang 110000, China
| | - Zhitu Zhu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121000, China
| | - Rixin Chen
- Liuzhou People's Hospital, Liuzhou 545000, China
| | - Liqun Jia
- China-Japan Friendship Hospital, Beijing 100000, China
| | - Wei Li
- The First Bethune Hospital of Jilin University, Changchun 130000, China
| | - Wangjun Liao
- Nanfang Hospital Southern Medical University, Guangzhou 510000, China
| | - Hong-Xu Liu
- Liaoning Cancer Hospital & Institute, Shenyang 110000, China
| | - Daiyuan Ma
- The Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
| | - Jie Ma
- The First Affiliated Hospital of Guangxi Medical University, Nanning 530000, China
| | - Yanru Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Zhihong Shi
- Xinxiang First People's Hospital, Xinxiang 453000, China
| | - Qichun Wei
- The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Ke Xiao
- The Second Affiliated Hospital of Shantou University Medical College, Shantou 515000, China
| | - Yan Zhang
- Shijiazhuang People's Hospital, Shijiazhuang 050000, China
| | - Ying Zhang
- Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Xin Chen
- The Second People's Hospital of Yibin, Yibin 644000, China
| | - Guanghai Dai
- Chinese PLA General Hospital, Beijing 100000, China
| | - Jianxing He
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510000, China
| | - Junhe Li
- The First Affiliated Hospital of Nanchang University, Nanchang 330000, China
| | - Guanghui Li
- The Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
| | - Yong Liu
- Xuzhou Central Hospital, Xuzhou 221000, China
| | - Zhihua Liu
- Jiangxi Cancer Hospital, Nanchang 330000, China
| | - Xianglin Yuan
- Tongji Hospital Affiliated to Tongji Medical College, Wuhan 430000, China
| | | | - Zhichao Fu
- The 900th Hospital of the Joint Logistic Support Force of the Chinese People's Liberation Army, Fuzhou 350000, China
| | - Yifu He
- Anhui Provincial Cancer Hospital, Hefei 230000, China
| | - Fang Ju
- Qingdao Central Hospital, Qingdao 266000, China
| | - Zheng Liu
- HanDan Central Hospital, Handan 056000, China
| | - Peng Tang
- Tianjin Medical University Cancer Institute & Hospital, Tianjin 300000, China
| | - Tiejun Wang
- The Second Hospital of Jilin University, Changchun 130000, China
| | - Weibo Wang
- Shandong Provincial Hospital, Jinan 250000, China
| | - Jing Zhang
- HuBei Cancer Hospital, Wuhan 430000, China
| | - Xianming Luo
- Shanghai Junshi Biosciences, Shanghai 200126, China
| | - Xiongwen Tang
- Shanghai Junshi Biosciences, Shanghai 200126, China; TopAlliance Biosciences, Rockville, MD 20850, USA
| | - Rena May
- TopAlliance Biosciences, Rockville, MD 20850, USA
| | - Hui Feng
- Shanghai Junshi Biosciences, Shanghai 200126, China; TopAlliance Biosciences, Rockville, MD 20850, USA
| | - Sheng Yao
- Shanghai Junshi Biosciences, Shanghai 200126, China; TopAlliance Biosciences, Rockville, MD 20850, USA
| | | | - Rui-Hua Xu
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China.
| | - Feng Wang
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China.
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Sun M, Shi CH, Ju L, Wang HC, Cai L, Liu T, Xiang L. First Report of Target Spot Caused by Rhizoctonia solani AG-6 in Tobacco in China. Plant Dis 2022; 106:2761. [PMID: 35253480 DOI: 10.1094/pdis-09-21-2077-pdn] [Citation(s) in RCA: 2] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Tobacco is an annual and solanaceous crop, which is widely produced in China. In July 2020, tobacco target spot was observed on 50% of tobacco plants in a 5-ha commercial field of Bijie (27.32° N, 105.29° E), Guizhou province, China. Typical symptoms firstly appeared on the old leaves as round watery spots. Then the spots became a diameter of 2 to 20 cm, with concentric ring lines and dead spots. Fifteen small pieces (5 × 5 mm) of leaf tissue were cut from the edge of the lesions, surface sterilized and placed on potato dextrose agar (PDA) medium amended with kanamycin (0.1 mg/ml). Isolate J136, one of five isolates with similar morphology, was selected for pathogen identification. The culture of the isolate on PDA was brown and exhibited radial mycelial growth after incubation at 28 oC in darkness for 5 days. Hyphae of the fungus were white at the beginning, turned light brown to brown at the later stages, and finally became thick and separated. Sclerotia were brown and produced on PDA after 25 days of incubation in the dark. These characteristics were similar to the colony characteristics of R. solani. The genomic DNA of Isolate J136 was extracted using the CTAB method. PCR analyses were conducted using the following primers specifically designed for the detection of individual AGs or subgroups of R. solani: AG-1 IA, IB and IC (Kuninaga 2003), AG-2-1, AG-2-2, IIIB, IV and LP (Carling et al. 2002), AG-3 PT (Misawa 2015), AG-4 HG-I and HG-II (Kuninaga 2003), and AGs-5-6 (Arakawa and Inagaki 2014). Among the 12 specific primer pairs, only AG-6-specific primers amplified a fragment of ca. 230 bp product, indicating that the tested strain belonged to R. solani AG-6. The sequence was deposited in GenBank with accession no. MZ379468. Using BLASTN search, the sequence of the gene was aligned with the voucher specimen, R. solani AG-6. A phylogenetic tree was constructed based on these sequences. After wards, Isolate J136 was tested for hyphal anastomosis reaction using the R. solani AG-6 standard strain according to the method described by Ogoshi (1987). The hyphal diameter at the point of anastomosis was reduced, with obvious anastomosis point, and the death of adjacent cells, indicating their anastomosis reactions (Anderson 1982). Thus, based on the morphological and genetic analyses, the fungus was identified as R. solani AG-6. To verify its pathogenicity, six plants (cv. Yunyan87) at the 5-to-6 leaf stage were inoculated with mycelial PDA plugs (5 mm in diameter). Leaves inoculated with PDA-only plugs served as the controls. Treated tobacco plants were maintained at a temperature range of 15 to 25 oC in a greenhouse with 85% relative humidity. After 5 days inoculation, typical symptoms were observed on the inoculated leaves, whereas no symptoms were observed on the control leaves. Koch's postulates were fulfilled by re-isolation of the pathogen from the diseased leaves. R. solani AG-2-2 is the only previously reported group of R. solani, which causes tobacco target spot in the field (Gonzalez et al. 2011). Therefore, to our knowledge, this is the first report of R. solani AG-6 causing target spot of tobacco in the field in China. Since considerable losses caused by the disease have frequently happened in this region, addition of this new group pathogen in the disease pool can be more problematic. Proper disease control strategies are in need to be developed to prevent further losses.
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Affiliation(s)
- Meili Sun
- College of Agriculture, Yangtze University, plant protection, Jingzhou, Hubei , China
- Guizhou Academy of Tobacco Science, plant protection, Guiyang, Guizhou, China;
| | - Cai-Hua Shi
- Yangtze University, College of Agriculture, Jingzhou, Hubei , China;
| | - Lei Ju
- Technology Center, Shanghai Tobacco Group Company., Limited. Shanghai CN, Shanghai, China;
| | - Han-Cheng Wang
- Plant protection, Plant disease, Nanjing Agricultrual University, Nanjing, Jiangsu, China, 210095
- Guizhou Academy of Tobacco Science, Plant Pathology, Longtan Ba Road #29, Guan Shan Hu District, Guiyang, Guiyang, Guizhou, China, 550081;
| | - Liuti Cai
- Guizhou Academy of Tobacco Science, Plant Protection, Guiyang, Guizhou, China;
| | - Tingting Liu
- Yangtze University, 47897, College of Agriculture, Jingzhou, Hubei , China
- Guizhou Acedemy of Tobacco Science, Key Laboratory of Molecular Genetics, Guiyang, Guizhou, China;
| | - Ligang Xiang
- Yangtze University, 47897, College of Agriculture, Jingzhou, Hubei , China
- Guizhou Academy of Tobacco Science, Key Laboratory of Molecular Genetics, Guiyang, Guizhou, China;
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Abstract
AbstractAs basic research, it has also received increasing attention from people that the “curse of dimensionality” will lead to increase the cost of data storage and computing; it also influences the efficiency and accuracy of dealing with problems. Feature dimensionality reduction as a key link in the process of pattern recognition has become one hot and difficulty spot in the field of pattern recognition, machine learning and data mining. It is one of the most challenging research fields, which has been favored by most of the scholars’ attention. How to implement “low loss” in the process of feature dimension reduction, keep the nature of the original data, find out the best mapping and get the optimal low dimensional data are the keys aims of the research. In this paper, two-dimensionality reduction methods, feature selection and feature extraction, are introduced; the current mainstream dimensionality reduction algorithms are analyzed, including the method for small sample and method based on deep learning. For each algorithm, examples of their application are given and the advantages and disadvantages of these methods are evaluated.
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Sun Y, Wang Y, Liu S, Han B, Sun M, Wang J. Significance of Vasohibin 1 in Cancer Patients: A Systematic Review and Meta analysis. J Cancer Res Ther 2022; 18:567-575. [DOI: 10.4103/jcrt.jcrt_281_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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