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Liu T, Yao W, Sun W, Yuan Y, Liu C, Liu X, Wang X, Jiang H. Components, Formulations, Deliveries, and Combinations of Tumor Vaccines. ACS NANO 2024. [PMID: 38979917 DOI: 10.1021/acsnano.4c05065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Tumor vaccines, an important part of immunotherapy, prevent cancer or kill existing tumor cells by activating or restoring the body's own immune system. Currently, various formulations of tumor vaccines have been developed, including cell vaccines, tumor cell membrane vaccines, tumor DNA vaccines, tumor mRNA vaccines, tumor polypeptide vaccines, virus-vectored tumor vaccines, and tumor-in-situ vaccines. There are also multiple delivery systems for tumor vaccines, such as liposomes, cell membrane vesicles, viruses, exosomes, and emulsions. In addition, to decrease the risk of tumor immune escape and immune tolerance that may exist with a single tumor vaccine, combination therapy of tumor vaccines with radiotherapy, chemotherapy, immune checkpoint inhibitors, cytokines, CAR-T therapy, or photoimmunotherapy is an effective strategy. Given the critical role of tumor vaccines in immunotherapy, here, we look back to the history of tumor vaccines, and we discuss the antigens, adjuvants, formulations, delivery systems, mechanisms, combination therapy, and future directions of tumor vaccines.
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Affiliation(s)
- Tengfei Liu
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Wenyan Yao
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Wenyu Sun
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yihan Yuan
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Chen Liu
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Xiaohui Liu
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Xuemei Wang
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Hui Jiang
- State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
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Zeng J, Zhang L, Ma S, Dai W, Xu M, Wei Y, Zhang Y, Cheng Y, Zhu G, Lu S, Li Q, Cao B. Dysregulation of peripheral and intratumoral KLRG1 + CD8 +T cells is associated with immune evasion in patients with non-small-cell lung cancer. Transl Oncol 2024; 45:101968. [PMID: 38713923 PMCID: PMC11097332 DOI: 10.1016/j.tranon.2024.101968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/01/2024] [Accepted: 04/16/2024] [Indexed: 05/09/2024] Open
Abstract
OBJECTIVES Killer cell lectin like receptor G1 (KLRG1) is identified as a co-inhibitory receptor for NK cells and antigen-experienced T cells. The role of KLRG1 in immune regulation in patients with non-small cell lung cancer (NSCLC) remains poorly understood. MATERIALS AND METHODS We measured the proportion and immune function of KLRG1+CD8+T cells derived from peripheral blood in patients with NSCLC by flow cytometry. Besides, using data from the gene expression profiles and single-cell sequencing, we explored the expression and immune role of KLRG1 in tumor tissues of patients with NSCLC. We further determined the prognostic value of KLRG1 in terms of overall survival (OS) in NSCLC patients. RESULTS We found that the proportion of KLRG1+CD8+T cells in peripheral blood significantly increased in patients with NSCLC as compared to those with benign pulmonary nodules and healthy donors. Peripheral KLRG1+CD8+T cell proportion was increased in elder subjects compared to that in younger ones, implying an immunosenescence phenotype. Moreover, the KLRG1+CD8+T cell levels were positively correlated with tumor size and TNM stage in the NSCLC cohort. In vitro stimulation experiments demonstrated that the KLRG1+CD8+T cells from peripheral blood expressed higher levels of Granzyme B and perforin than the KLRG1-CD8+ T cells. However, single-cell RNA sequencing data revealed that the KLRG1+CD8+ T cells were less infiltrated in tumor microenvironment and exhibited impaired cytotoxicity. The KLRG1 gene expression levels were significantly lower in tumor tissues than that in normal lung tissues, and were inversely correlated with CDH1 expression levels. Moreover, higher expression of CDH1 in tumor tissues predicted worse overall survival only in patients with KLRG1-high expression, but not in the KLRG1-low subset. CONCLUSION This study demonstrates that KLRG1+CD8+T cells were associated with tumor immune evasion in NSCLC and suggests KLRG1 as a potential immunotherapy target.
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Affiliation(s)
- Juan Zeng
- Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Lu Zhang
- Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Shiqi Ma
- Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Dai
- Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Man Xu
- Department of Healthy Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Yang Wei
- Department of Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Yuyang Zhang
- Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Youfu Cheng
- Department of Healthy Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Guiquan Zhu
- State Key Laboratory of Oral Diseases, National Clinical Research Centre for Oral Diseases, Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Shun Lu
- Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Qiang Li
- Department of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Bangrong Cao
- Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China; Department of Biobank, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
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Liu A, Zhang G, Yang Y, Xia Y, Li W, Liu Y, Cui Q, Wang D, Yu J. Two nomograms constructed for predicting the efficacy and prognosis of advanced non‑small cell lung cancer patients treated with anti‑PD‑1 inhibitors based on the absolute counts of lymphocyte subsets. Cancer Immunol Immunother 2024; 73:152. [PMID: 38833153 PMCID: PMC11150349 DOI: 10.1007/s00262-024-03738-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 05/17/2024] [Indexed: 06/06/2024]
Abstract
BACKGROUND Patients treated with immune checkpoint inhibitors (ICIs) are at risk of considerable adverse events, and the ongoing struggle is to accurately identify the subset of patients who will benefit. Lymphocyte subsets play a pivotal role in the antitumor response, this study attempted to combine the absolute counts of lymphocyte subsets (ACLS) with the clinicopathological parameters to construct nomograms to accurately predict the prognosis of advanced non-small cell lung cancer (aNSCLC) patients treated with anti-PD-1 inhibitors. METHODS This retrospective study included a training cohort (n = 200) and validation cohort (n = 100) with aNSCLC patients treated with anti-PD-1 inhibitors. Logistic and Cox regression were conducted to identify factors associated with efficacy and progression-free survival (PFS) respectively. Nomograms were built based on independent influencing factors, and assessed by the concordance index (C-index), calibration curve and receiver operating characteristic (ROC) curve. RESULT In training cohort, lower baseline absolute counts of CD3+ (P < 0.001) and CD4+ (P < 0.001) were associated with for poorer efficacy. Hepatic metastases (P = 0.019) and lower baseline absolute counts of CD3+ (P < 0.001), CD4+ (P < 0.001), CD8+ (P < 0.001), and B cells (P = 0.042) were associated with shorter PFS. Two nomograms to predict efficacy at 6-week after treatment and PFS at 4-, 8- and 12-months were constructed, and validated in validation cohort. The area under the ROC curve (AUC-ROC) of nomogram to predict response was 0.908 in training cohort and 0.984 in validation cohort. The C-index of nomogram to predict PFS was 0.825 in training cohort and 0.832 in validation cohort. AUC-ROC illustrated the nomograms had excellent discriminative ability. Calibration curves showed a superior consistence between the nomogram predicted probability and actual observation. CONCLUSION We constructed two nomogram based on ACLS to help clinicians screen of patients with possible benefit and make individualized treatment decisions by accurately predicting efficacy and PFS for advanced NSCLC patient treated with anti-PD-1 inhibitors.
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Affiliation(s)
- Aqing Liu
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Department of Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Guan Zhang
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yanjie Yang
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ying Xia
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Wentao Li
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yunhe Liu
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qian Cui
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Dong Wang
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jianchun Yu
- Department of Oncology, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
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Djunadi TA, Oh Y, Lee J, Yu J, Chung LIY, Lee Y, Kim L, Hong T, Lee S, Shah Z, Park JH, Yoon SM, Chae YK. Redefining Clinical Hyperprogression: The Incidence, Clinical Implications, and Risk Factors of Hyperprogression in Non-Small Cell Lung Cancer Treated with Immunotherapy. Clin Lung Cancer 2024; 25:365-375.e14. [PMID: 38644088 DOI: 10.1016/j.cllc.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/29/2024] [Accepted: 03/02/2024] [Indexed: 04/23/2024]
Abstract
INTRODUCTION Immune checkpoint inhibitors (ICIs) may be associated with hyperprogressive disease (HPD). However, there is currently no standardized definition of HPD, with its risk factors and clinical implications remaining unclear. We investigated HPD in lung cancer patients undergoing immunotherapy, aiming to redefine HPD, identify risk factors, and assess its impact on survival. METHODS Clinical and radiologic data from 121 non-small cell lung cancer (NSCLC) patients with 136 immunotherapy cases were reviewed retrospectively. Three HPD definitions (Champiat et al., HPDc; Saâda-Bouzid et al., HPDs; and Ferrara et al., HPDf) were employed. Additionally, all new measurable lesions on the post-treatment CT scan were incorporated in measuring the sum of longest diameters (SLD) to define modified HPD (mHPD). RESULTS Among the 121 patients, 4 (3.3%) had HPDc, 11 (9.1%) had HPDs, and none had HPDf. Adding all new measurable lesions increased HPD incidence by 5%-10% across definitions. Multivariate analysis revealed significantly lower progression-free survival (PFS) and overall survival (OS) for patients with HPDc (HR 5.25, P = .001; HR 3.75, P = .015) and HPDs (HR 3.74, P < .001; HR 3.46, P < .001) compared to those without. Patients with mHPD showed similarly poor survival outcomes as HPD patients. Liver metastasis at diagnosis was associated with HPDs, and a high tumor burden correlated with HPDc. CONCLUSIONS The incidence and risk factors of HPD varied with different definitions, but mHPD identified more cases with poor outcomes. This comprehensive approach may enhance the identification of at-risk patients and lead to a better understanding of HPD in lung cancer during immunotherapy.
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Affiliation(s)
- Trie Arni Djunadi
- Feinberg School of Medicine, Northwestern University, Chicago, IL; Department of Internal Medicine, Richmond University Medical Centre, Staten Island, NY
| | - Youjin Oh
- Feinberg School of Medicine, Northwestern University, Chicago, IL; Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL
| | - Jeeyeon Lee
- Feinberg School of Medicine, Northwestern University, Chicago, IL; School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jisang Yu
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Yeunho Lee
- Department of Pediatrics, University of Hawai'i, Honolulu, HI
| | - Leeseul Kim
- Department of Internal Medicine, Ascension Saint Francis Hospital, Evanston, IL
| | | | | | - Zunairah Shah
- Department of Hematology Oncology, Roswell Park Comprehensive Care Center, Buffalo, NY
| | - Joo Hee Park
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Sung Mi Yoon
- Department of Internal Medicine, Jacobi Medical Center/North Central Bronx Hospital Albert Einstein College of Medicine, Bronx, NY
| | - Young Kwang Chae
- Feinberg School of Medicine, Northwestern University, Chicago, IL.
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Kimura N, Tsukita Y, Ebina-Shibuya R, Miyauchi E, Yamada M, Narita D, Saito R, Inoue C, Fujino N, Ichikawa T, Tamada T, Sugiura H. Peripheral blood biomarkers associated with combination of immune checkpoint blockade plus chemotherapy in NSCLC. Cancer Biomark 2024:CBM230301. [PMID: 38669521 DOI: 10.3233/cbm-230301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
BACKGROUND Biomarkers predicting clinical outcomes of treating non-small cell lung cancer (NSCLC) with combination of immune checkpoint inhibitors (ICIs) and chemotherapy would be valuable. OBJECTIVE This study aims to seek predictors of combination of ICI/chemotherapy response in NSCLC patients using peripheral blood samples. METHODS Patients diagnosed with advanced NSCLC between July 2019 and May 2021 receiving combination of ICI/chemotherapy were included and assessed for partial responses (PR), stable disease (SD) or progressive disease (PD). We measured circulating immune cells, plasma cytokines and chemokines. RESULTS Nineteen patients were enrolled. The proportions of circulating natural killer (NK) cells within CD45 + cells, programmed death 1 (PD-1) + Tim-3 + T cells within CD4 + cells, and the amount of chemokine C-X-C ligand (CXCL10) in the plasma were significantly elevated in PR relative to SD/PD patients (median 8.1%-vs-2.1%, P= 0.0032; median 1.2%-vs-0.3%, P= 0.0050; and median 122.6 pg/ml-vs-76.0 pg/ml, P= 0.0125, respectively). Patients with 2 or 3 elevated factors had longer progression-free survival than patients with 0 or only one (not reached-vs-5.6 months, P= 0.0002). CONCLUSIONS We conclude that NK cells, CD4 + PD-1 + Tim-3 + T cells, and CXCL10 levels in pre-treatment peripheral blood may predict the efficacy of combination of ICI/chemotherapy in NSCLC.
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Affiliation(s)
- Nozomu Kimura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoko Tsukita
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Risa Ebina-Shibuya
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Eisaku Miyauchi
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Mitsuhiro Yamada
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Daisuke Narita
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryota Saito
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Chihiro Inoue
- Department of Anatomic Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Naoya Fujino
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tomohiro Ichikawa
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tsutomu Tamada
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hisatoshi Sugiura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
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Huang D, Lin C, Jiang Y, Xin E, Xu F, Gan Y, Xu R, Wang F, Zhang H, Lou K, Shi L, Hu H. Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy. Front Oncol 2024; 14:1348678. [PMID: 38585004 PMCID: PMC10996281 DOI: 10.3389/fonc.2024.1348678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 03/06/2024] [Indexed: 04/09/2024] Open
Abstract
Objective To establish a radiomics model based on intratumoral and peritumoral features extracted from pre-treatment CT to predict the major pathological response (MPR) in patients with non-small cell lung cancer (NSCLC) receiving neoadjuvant immunochemotherapy. Methods A total of 148 NSCLC patients who underwent neoadjuvant immunochemotherapy from two centers (SRRSH and ZCH) were retrospectively included. The SRRSH dataset (n=105) was used as the training and internal validation cohort. Radiomics features of intratumoral (T) and peritumoral regions (P1 = 0-5mm, P2 = 5-10mm, and P3 = 10-15mm) were extracted from pre-treatment CT. Intra- and inter- class correlation coefficients and least absolute shrinkage and selection operator were used to feature selection. Four single ROI models mentioned above and a combined radiomics (CR: T+P1+P2+P3) model were established by using machine learning algorithms. Clinical factors were selected to construct the combined radiomics-clinical (CRC) model, which was validated in the external center ZCH (n=43). The performance of the models was assessed by DeLong test, calibration curve and decision curve analysis. Results Histopathological type was the only independent clinical risk factor. The model CR with eight selected radiomics features demonstrated a good predictive performance in the internal validation (AUC=0.810) and significantly improved than the model T (AUC=0.810 vs 0.619, p<0.05). The model CRC yielded the best predictive capability (AUC=0.814) and obtained satisfactory performance in the independent external test set (AUC=0.768, 95% CI: 0.62-0.91). Conclusion We established a CRC model that incorporates intratumoral and peritumoral features and histopathological type, providing an effective approach for selecting NSCLC patients suitable for neoadjuvant immunochemotherapy.
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Affiliation(s)
- Dingpin Huang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Medical Imaging International Scientific and Technological Cooperation Base of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chen Lin
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Yangyang Jiang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Enhui Xin
- Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China
| | - Fangyi Xu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yi Gan
- Department of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Rui Xu
- DUT-RU International School of Information Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China
- DUT-RU Co-Research Center of Advanced Information Computing Technology (ICT) for Active Life, Dalian University of Technology, Dalian, Liaoning, China
| | - Fang Wang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Haiping Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Kaihua Lou
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lei Shi
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Hongjie Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Medical Imaging International Scientific and Technological Cooperation Base of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Li Y, Wang P, Xu J, Shi X, Yin T, Teng F. Noninvasive radiomic biomarkers for predicting pseudoprogression and hyperprogression in patients with non-small cell lung cancer treated with immune checkpoint inhibition. Oncoimmunology 2024; 13:2312628. [PMID: 38343749 PMCID: PMC10857548 DOI: 10.1080/2162402x.2024.2312628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 01/28/2024] [Indexed: 02/15/2024] Open
Abstract
This study aimed to develop a computed tomography (CT)-based radiomics model capable of precisely predicting hyperprogression and pseudoprogression (PP) in patients with non-small cell lung cancer (NSCLC) treated with immunotherapy. We retrospectively analyzed 105 patients with NSCLC, from three institutions, treated with immune checkpoint inhibitors (ICIs) and categorized them into training and independent testing set. Subsequently, we processed CT scans with a series of image-preprocessing techniques, and 6008 radiomic features capturing intra- and peritumoral texture patterns were extracted. We used the least absolute shrinkage and selection operator logistic regression model to select radiomic features and construct machine learning models. To further differentiate between progressive disease (PD) and hyperprogressive disease (HPD), we developed a new radiomics model. The logistic regression (LR) model showed optimal performance in distinguishing PP from HPD, with areas under the receiver operating characteristic curve (AUC) of 0.95 (95% confidence interval [CI]: 0.91-0.99) and 0.88 (95% CI: 0.66-1) in the training and testing sets, respectively. Additionally, the support vector machine model showed optimal performance in distinguishing PD from HPD, with AUC of 0.97 (95% CI: 0.93-1) and 0.87 (95% CI: 0.72-1) in the training and testing sets, respectively. Kaplan‒Meier survival curves showed clear stratification between PP predicted by the radiomics model and true progression (HPD and PD) (hazard ratio = 0.337, 95% CI: 0.200-0.568, p < 0.01) in overall survival. Our study demonstrates that radiomic features extracted from baseline CT scans are effective in predicting PP and HPD in patients with NSCLC treated with ICIs.
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Affiliation(s)
- Yikun Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
| | - Peiliang Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
| | - Junhao Xu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
| | - Xiaonan Shi
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
| | - Tianwen Yin
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Feifei Teng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Cheeloo College of Medicine, Shandong University, Jinan, People’s Republic of China
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Yang Y, An Y, Dong Y, Chu Q, Wei J, Wang B, Cao H. Fecal microbiota transplantation: no longer cinderella in tumour immunotherapy. EBioMedicine 2024; 100:104967. [PMID: 38241975 PMCID: PMC10831174 DOI: 10.1016/j.ebiom.2024.104967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/08/2023] [Accepted: 01/02/2024] [Indexed: 01/21/2024] Open
Abstract
The incidence of cancer has shown a great increase during the past decades and poses tough challenges to cancer treatment. Anti-tumour immunotherapy, represented by immune checkpoint inhibitors (ICIs), possesses favorable remission in unrestricted spectrum of cancer types. However, its efficacy seems to be heterogeneous among accumulating studies. Emerging evidences suggest that gut microbiota can modulate anti-tumour immuno-response and predict clinical prognosis. Therefore, remodeling microbiota characteristics with fecal microbiota transplantation (FMT) may be capable of reinforcing host ICIs performance by regulating immune-tumour cell interactions and altering microbial metabolites, thereby imperceptibly shifting the tumour microenvironment. However, the long-term safety of FMT is under concern, which calls for more rigorous screening. In this review, we examine current experimental and clinical evidences supporting the FMT efficacy in boosting anti-tumour immuno-response and lessening tumour-related complications. Moreover, we discuss the challenges in FMT and propose feasible resolutions, which may offer crucial guidance for future clinical operations.
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Affiliation(s)
- Yunwei Yang
- Tianjin Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin, China
| | - Yaping An
- Tianjin Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin, China
| | - Yue Dong
- Tianjin Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin, China
| | - Qiao Chu
- Tianjin Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin, China
| | - Jingge Wei
- Tianjin Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin, China
| | - Bangmao Wang
- Tianjin Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin, China.
| | - Hailong Cao
- Tianjin Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin, China.
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9
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Kim MJ, Hong SPD, Park Y, Chae YK. Incidence of immunotherapy-related hyperprogressive disease (HPD) across HPD definitions and cancer types in observational studies: A systematic review and meta-analysis. Cancer Med 2024; 13:e6970. [PMID: 38400685 PMCID: PMC10891462 DOI: 10.1002/cam4.6970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/02/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND While evidence of hyperprogressive disease (HPD) continues to grow, the lack of a consensual definition obscures a proper characterization of HPD incidence. We examined how HPD incidence varies by the tumor type or the type of definition used. METHODS We searched PubMed, Embase, the Cochrane Library of Systematic Reviews, and Web of Science from database inception to June 21, 2022. Observational studies reporting HPD incidence, in patients diagnosed with solid malignant tumors and treated with immune checkpoint inhibitors (ICI), were included. Random-effects meta-analyses were performed, and all statistical tests were 2-sided. RESULTS HPD incidence was 12.4% (95% CI 10.2%-15.0%) with evidence of heterogeneity (Q = 119.32, p < 0.001). Meta-regression showed that the risk of developing HPD was higher in patients with advanced gastric cancer (adjusted odds ratio [OR], 10.83; 95% CI, 2.14-54.65; p < 0.001), hepatocellular carcinoma (adjusted OR, 7.99; 95% CI, 1.68-38.13; p = 0.006), non-small cell lung cancer (adjusted OR, 7.14; 95% CI, 1.58-32.29; p = 0.005), and mixed or other types (adjusted OR, 5.09; 95% CI, 1.12-23.14, p = 0.018) than in patients with renal cell carcinoma. Across definitions, HPD defined as a tumor growth kinetics ratio ≥ 2 (adjusted OR, 1.82; 95% CI, 1.08-3.07; p = 0.025) based on the Response Evaluation Criteria in Solid Tumors (RECIST) reported higher incidence than when HPD was defined as RECIST-defined progressive disease and a change in the tumor growth rate (TGR) exceeding 50% (∆TGR > 50). CONCLUSIONS The incidence of immunotherapy-related HPD may vary across tumor types and definitions used, supporting the argument for a uniform and improved method of HPD evaluation for informed clinical decision-making.
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Affiliation(s)
- Min Jeong Kim
- Department of MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Seung Pyo D. Hong
- Department of MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Yeonggyeong Park
- Department of MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Young Kwang Chae
- Department of MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Robert H. Lurie Comprehensive Cancer CenterNorthwestern UniversityChicagoIllinoisUSA
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10
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Meng L, Wu H, Wu J, Ding P, He J, Sang M, Liu L. Mechanisms of immune checkpoint inhibitors: insights into the regulation of circular RNAS involved in cancer hallmarks. Cell Death Dis 2024; 15:3. [PMID: 38177102 PMCID: PMC10766988 DOI: 10.1038/s41419-023-06389-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 01/06/2024]
Abstract
Current treatment strategies for cancer, especially advanced cancer, are limited and unsatisfactory. One of the most substantial advances in cancer therapy, in the last decades, was the discovery of a new layer of immunotherapy approach, immune checkpoint inhibitors (ICIs), which can specifically activate immune cells by targeting immune checkpoints. Immune checkpoints are a type of immunosuppressive molecules expressed on immune cells, which can regulate the degree of immune activation and avoid autoimmune responses. ICIs, such as anti-PD-1/PD-L1 drugs, has shown inspiring efficacy and broad applicability across various cancers. Unfortunately, not all cancer patients benefit remarkably from ICIs, and the overall response rates to ICIs remain relatively low for most cancer types. Moreover, the primary and acquired resistance to ICIs pose serious challenges to the clinical application of cancer immunotherapy. Thus, a deeper understanding of the molecular biological properties and regulatory mechanisms of immune checkpoints is urgently needed to improve clinical options for current therapies. Recently, circular RNAs (circRNAs) have attracted increasing attention, not only due to their involvement in various aspects of cancer hallmarks, but also for their impact on immune checkpoints in shaping the tumor immune microenvironment. In this review, we systematically summarize the current status of immune checkpoints in cancer and the existing regulatory roles of circRNAs on immune checkpoints. Meanwhile, we also aim to settle the issue in an evidence-oriented manner that circRNAs involved in cancer hallmarks regulate the effects and resistance of ICIs by targeting immune checkpoints.
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Affiliation(s)
- Lingjiao Meng
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050035, China
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050017, China
| | - Haotian Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Jiaxiang Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Ping'an Ding
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Jinchen He
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Meixiang Sang
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050017, China.
- Science and Education Department, Shanghai Electric Power Hospital, Shanghai, 20050, China.
| | - Lihua Liu
- Department of Tumor Immunotherapy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050035, China.
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11
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Qi R, Yang L, Zhao X, Huo L, Wang Y, Zhang P, Chen X. Progress in the research of immunotherapy‑related hyperprogression (Review). Mol Clin Oncol 2024; 20:3. [PMID: 38223402 PMCID: PMC10784782 DOI: 10.3892/mco.2023.2701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 11/02/2023] [Indexed: 01/16/2024] Open
Abstract
Immunotherapy has become an effective method for the treatment of a variety of malignant tumors. However, with the development of immunotherapy, the phenomenon of hyperprogression in patients with cancer has gradually attracted attention. Hyperprogression refers to a condition in which the progression of a disease during treatment of a patient with cancer is suddenly accelerated. To date, no reliable marker has been found to predict accelerated tumor growth during immune checkpoint inhibitor (ICI) treatment. The aim the present study was to summarize the definition of hyperprogression and the difference between hyperprogression and pseudocytosis, and investigate the potential mechanisms of hyperprogression including clinical characteristics, potential molecular markers and the immune microenvironment. The effect of macrophage-related different types and factors on tumors in the immune microenvironment was analyzed, and the findings may be used to determine the future directions of research in hyperprogression.
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Affiliation(s)
- Ruizhe Qi
- Department of Pharmacy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, Hebei 054000, P.R. China
| | - Lihui Yang
- Department of Nursing, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, Hebei 054000, P.R. China
| | - Xinchao Zhao
- Department of Pharmacy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, Hebei 054000, P.R. China
| | - Liying Huo
- Department of Pharmacy, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, Hebei 054000, P.R. China
| | - Yaling Wang
- Department of Pharmacy, Zhengzhou Ninth People's Hospital, Zhengzhou, Henan 450000, P.R. China
| | - Peifang Zhang
- Department of Nursing, The Second Affiliated Hospital of Xingtai Medical College, Xingtai, Hebei 054000, P.R. China
| | - Xiaomei Chen
- Department of Pharmacy, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong 518102, P.R. China
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12
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Yu Z, Xiaojia L, Wei Z, Jian Z, Aiting W, Jing W, Lin Y, Bangwei C, Dan Y. Baicalin circumvents anti-PD-1 resistance by regulating the gut microbiota metabolite short-chain fatty acids. Pharmacol Res 2024; 199:107033. [PMID: 38061593 DOI: 10.1016/j.phrs.2023.107033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/20/2023] [Accepted: 12/04/2023] [Indexed: 01/13/2024]
Abstract
Baicalin is a small molecule medication used to treat hepatitis. Our research group discovered that administering baicalin orally to mice following fecal microbiota transplantation from patients resistant to ICIs supported anti-PD-1 activity. However, the precise mechanisms behind this effect are presently unknown. In this present study, ATB-treated C57BL/6 J mice received FMT from patients with advanced NSCLC amenable to αPD-1. Additionally, subcutaneous LLC cells were injected into the mice. Baicalin oral gavage and αPD-1 injection were administered to the mice on days 3 and 9 after tumour inoculation. 16 S rRNA, metabolomics, and flow cytometry were utilized to clarify the mechanisms of baicalin's relief of immunosuppression. The results indicated that oral administration of baicalin enriched bacteria such as Akkermansia and Clostridia_UCG-014, resulted in an increase in SCFAs, which improved the ratio of PD-1+ (CD8+ T cell/Treg) and promoted the levels of IFN-γ+ CD8+ T cells and TNF-α+ CD8+ T cells within the tumour microenvironment. In conclusion, baicalin regulates the metabolites of the gut microbiota to improve the PD-1+ (CD8+ T cell/Treg) balance and circumvent anti-PD-1 resistance. This is achieved through the regulation of short-chain fatty acids.
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Affiliation(s)
- Zhang Yu
- Beijing Institute of Clinical Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Liu Xiaojia
- Beijing Institute of Clinical Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Zhao Wei
- Beijing Institute of Clinical Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Zhang Jian
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
| | - Wang Aiting
- Beijing Institute of Clinical Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Wang Jing
- Department of Oncology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Yang Lin
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Cao Bangwei
- Department of Oncology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
| | - Yan Dan
- Beijing Institute of Clinical Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
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13
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Christofi P, Pantazi C, Psatha N, Sakellari I, Yannaki E, Papadopoulou A. Promises and Pitfalls of Next-Generation Treg Adoptive Immunotherapy. Cancers (Basel) 2023; 15:5877. [PMID: 38136421 PMCID: PMC10742252 DOI: 10.3390/cancers15245877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
Regulatory T cells (Tregs) are fundamental to maintaining immune homeostasis by inhibiting immune responses to self-antigens and preventing the excessive activation of the immune system. Their functions extend beyond immune surveillance and subpopulations of tissue-resident Treg cells can also facilitate tissue repair and homeostasis. The unique ability to regulate aberrant immune responses has generated the concept of harnessing Tregs as a new cellular immunotherapy approach for reshaping undesired immune reactions in autoimmune diseases and allo-responses in transplantation to ultimately re-establish tolerance. However, a number of issues limit the broad clinical applicability of Treg adoptive immunotherapy, including the lack of antigen specificity, heterogeneity within the Treg population, poor persistence, functional Treg impairment in disease states, and in vivo plasticity that results in the loss of suppressive function. Although the early-phase clinical trials of Treg cell therapy have shown the feasibility and tolerability of the approach in several conditions, its efficacy has remained questionable. Leveraging the smart tools and platforms that have been successfully developed for primary T cell engineering in cancer, the field has now shifted towards "next-generation" adoptive Treg immunotherapy, where genetically modified Treg products with improved characteristics are being generated, as regards antigen specificity, function, persistence, and immunogenicity. Here, we review the state of the art on Treg adoptive immunotherapy and progress beyond it, while critically evaluating the hurdles and opportunities towards the materialization of Tregs as a living drug therapy for various inflammation states and the broad clinical translation of Treg therapeutics.
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Affiliation(s)
- Panayiota Christofi
- Gene and Cell Therapy Center, Hematopoietic Cell Transplantation Unit, Hematology Department, George Papanikolaou Hospital, 57010 Thessaloniki, Greece; (P.C.); (C.P.); (I.S.); (E.Y.)
- University General Hospital of Patras, 26504 Rio, Greece
| | - Chrysoula Pantazi
- Gene and Cell Therapy Center, Hematopoietic Cell Transplantation Unit, Hematology Department, George Papanikolaou Hospital, 57010 Thessaloniki, Greece; (P.C.); (C.P.); (I.S.); (E.Y.)
- Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
- Institute of Applied Biosciences (INAB), Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, Greece
| | - Nikoleta Psatha
- Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Ioanna Sakellari
- Gene and Cell Therapy Center, Hematopoietic Cell Transplantation Unit, Hematology Department, George Papanikolaou Hospital, 57010 Thessaloniki, Greece; (P.C.); (C.P.); (I.S.); (E.Y.)
| | - Evangelia Yannaki
- Gene and Cell Therapy Center, Hematopoietic Cell Transplantation Unit, Hematology Department, George Papanikolaou Hospital, 57010 Thessaloniki, Greece; (P.C.); (C.P.); (I.S.); (E.Y.)
- Department of Medicine, University of Washington, Seattle, WA 98195-7710, USA
| | - Anastasia Papadopoulou
- Gene and Cell Therapy Center, Hematopoietic Cell Transplantation Unit, Hematology Department, George Papanikolaou Hospital, 57010 Thessaloniki, Greece; (P.C.); (C.P.); (I.S.); (E.Y.)
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14
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Miraki Feriz A, Bahraini F, Khosrojerdi A, Azarkar S, Sajjadi SM, HosseiniGol E, Honardoost MA, Saghafi S, Silvestris N, Leone P, Safarpour H, Racanelli V. Deciphering the immune landscape of head and neck squamous cell carcinoma: A single-cell transcriptomic analysis of regulatory T cell responses to PD-1 blockade therapy. PLoS One 2023; 18:e0295863. [PMID: 38096229 PMCID: PMC10721039 DOI: 10.1371/journal.pone.0295863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023] Open
Abstract
Immunotherapy is changing the Head and Neck Squamous Cell Carcinoma (HNSCC) landscape and improving outcomes for patients with recurrent or metastatic HNSCC. A deeper understanding of the tumor microenvironment (TME) is required in light of the limitations of patients' responses to immunotherapy. Here, we aimed to examine how Nivolumab affects infiltrating Tregs in the HNSCC TME. We used single-cell RNA sequencing data from eight tissues isolated from four HNSCC donors before and after Nivolumab treatment. Interestingly, the study found that Treg counts and suppressive activity increased following Nivolumab therapy. We also discovered that changes in the CD44-SSP1 axis, NKG2C/D-HLA-E axis, and KRAS signaling may have contributed to the increase in Treg numbers. Furthermore, our study suggests that decreasing the activity of the KRAS and Notch signaling pathways, and increasing FOXP3, CTLA-4, LAG-3, and GZMA expression, may be mechanisms that enhance the killing and suppressive capacity of Tregs. Additionally, the result of pseudo-temporal analysis of the HNSCC TME indicated that after Nivolumab therapy, the expression of certain inhibitory immune checkpoints including TIGIT, ENTPD1, and CD276 and LY9, were decreased in Tregs, while LAG-3 showed an increased expression level. The study also found that Tregs had a dense communication network with cluster two, and that certain ligand-receptor pairs, including SPP1/CD44, HLA-E/KLRC2, HLA-E/KLRK1, ANXA1/FPR3, and CXCL9/FCGR2A, had notable changes after the therapy. These changes in gene expression and cell interactions may have implications for the role of Tregs in the TME and in response to Nivolumab therapy.
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Affiliation(s)
- Adib Miraki Feriz
- Student Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran
| | - Fatemeh Bahraini
- Student Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran
| | | | - Setareh Azarkar
- Student Research Committee, Birjand University of Medical Sciences (BUMS), Birjand, Iran
| | | | - Edris HosseiniGol
- Department of Computer Engineering, University of Birjand, Birjand, Iran
| | - Mohammad Amin Honardoost
- Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | - Samira Saghafi
- Cellular and Molecular Research Center (CMRC), BUMS, Birjand, Iran
- Department of Internal Medicine, School of Medicine, BUMS, Birjand, Iran
| | - Nicola Silvestris
- Medical Oncology Unit, Department of Human Pathology “G. Barresi”, University of Messina, Messina, Italy
| | - Patrizia Leone
- Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", Bari, Italy
| | | | - Vito Racanelli
- Centre for Medical Sciences (CISMed), University of Trento and Internal Medicine Division, Santa Chiara Hospital, Provincial Health Care Agency (APSS), Trento, Italy
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15
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Skacel J, Melichar B, Mohelnikova-Duchonova B, Lemstrova R. Hyperprogression on anti-PD-1 treatment. Is subsequent therapy feasible? A case report and review of the literature. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2023; 167:376-384. [PMID: 35703362 DOI: 10.5507/bp.2022.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/18/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Hyperprogressive disease (HPD) is a new phenomenon that has emerged in the immunotherapy era. HPD is defined as a rapid tumour growth with detrimental effect on the patient condition and disease course. The management and treatment following HPD is not defined. We present here the case report of patient with HPD and review of the literature on putative mechanisms of HPD and following disease management. METHODS AND RESULTS A 60-year old male patient with metastatic melanoma was indicated for systemic treatment with anti-programmed cell death (PD)-1 antibody. Rapid tumour growth and detrimental effect on the patient general condition after administration of a single dose of anti-PD-1 antibody met the criteria of HPD. The patient underwent the second line taxane-based chemotherapy with good tolerance and disease stabilization. The third line treatment with anti- cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) antibody ipilimumab was well tolerated and resulted in partial response. Re-challenge with anti-CTLA-4 antibody was feasible, but only with a modest clinical effect. CONCLUSION Prompt recognition of HPD and administration of salvage chemotherapy with taxane-based regimens may be crucial. HPD is rarely observed with ipilimumab treatment. Administration of ipilimumab as well as an ipilimumab re-challenge are feasible after HPD on anti-PD-1 antibodies. Investigation of new predictive biomarkers of HPD is warranted as well as new agents that potentiate the immune response in patients affected with this insidious complication.
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Affiliation(s)
- Jan Skacel
- Department of Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Zdravotniku 7, 779 00 Olomouc, Czech Republic
| | - Bohuslav Melichar
- Department of Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Zdravotniku 7, 779 00 Olomouc, Czech Republic
| | - Beatrice Mohelnikova-Duchonova
- Department of Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Zdravotniku 7, 779 00 Olomouc, Czech Republic
| | - Radmila Lemstrova
- Department of Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Zdravotniku 7, 779 00 Olomouc, Czech Republic
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16
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Luo H, Wang W, Mai J, Yin R, Cai X, Li Q. The nexus of dynamic T cell states and immune checkpoint blockade therapy in the periphery and tumor microenvironment. Front Immunol 2023; 14:1267918. [PMID: 37881432 PMCID: PMC10597640 DOI: 10.3389/fimmu.2023.1267918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 09/18/2023] [Indexed: 10/27/2023] Open
Abstract
Immune checkpoint blockade (ICB) therapies, that is, using monoclonal antibodies to reinvigorate tumor-reactive, antigen-specific T cells from the inhibitory effects of CTLA-4, PD-1 and PD-L1 immune checkpoints, have revolutionized the therapeutic landscape of modern oncology. However, only a subset of patients can benefit from the ICB therapy. Biomarkers associated with ICB response, resistance and prognosis have been subjected to intensive research in the past decade. Early studies focused on the analysis of tumor specimens and their residing microenvironment. However, biopsies can be challenging to obtain in clinical practice, and do not reflect the dynamic changes of immunological parameters during the ICB therapy. Recent studies have investigated profiles of antigen-specific T cells derived from the peripheral compartment using multi-omics approaches. By tracking the clonotype and diversity of tumor-reactive T cell receptor repertoire, these studies collectively establish that de novo priming of antigen-specific T cells in peripheral blood occurs throughout the course of ICB, whereas preexisting T cells prior to ICB are exhausted to various degrees. Here, we review what is known about ICB-induced T cell phenotypic and functional changes in cancer patients both within the tumor microenvironment and in the peripheral compartment. A better understanding of parameters influencing the response to ICBs will provide rationales for developing novel diagnostics and combinatorial therapeutic strategies to maximize the clinical efficacies of ICB therapies.
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Affiliation(s)
- Hong Luo
- Department of Obstetrics & Gynecology, Laboratory Medicine and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wenxiang Wang
- Xinxiang Central Hospital, The Fourth Clinical College of Xinxiang Medical University, Xinxiang, Henan, China
| | - Jia Mai
- Department of Obstetrics & Gynecology, Laboratory Medicine and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Rutie Yin
- Department of Obstetrics & Gynecology, Laboratory Medicine and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xuyu Cai
- Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qintong Li
- Department of Obstetrics & Gynecology, Laboratory Medicine and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Center of Growth, Metabolism and Aging, State Key Laboratory of Biotherapy and Collaborative Innovation Center of Biotherapy, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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17
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Vajari MK, Sanaei MJ, Salari S, Rezvani A, Ravari MS, Bashash D. Breast cancer vaccination: Latest advances with an analytical focus on clinical trials. Int Immunopharmacol 2023; 123:110696. [PMID: 37494841 DOI: 10.1016/j.intimp.2023.110696] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/13/2023] [Accepted: 07/19/2023] [Indexed: 07/28/2023]
Abstract
Breast cancer (BC) is one of the main causes of cancer-related death worldwide. The heterogenicity of breast tumors and the presence of tumor resistance, metastasis, and disease recurrence make BC a challenging malignancy. A new age in cancer treatment is being ushered in by the enormous success of cancer immunotherapy, and therapeutic cancer vaccination is one such area of research. Nevertheless, it has been shown that the application of cancer vaccines in BC as monotherapy could not induce satisfying anti-tumor immunity. Indeed, the application of various vaccine platforms as well as combination therapies like immunotherapy could influence the clinical benefits of BC treatment. We analyzed the clinical trials of BC vaccination and revealed that the majority of trials were in phase I and II meaning that the BC vaccine studies lack favorable outcomes or they need more development. Furthermore, peptide- and cell-based vaccines are the major platforms utilized in clinical trials according to our analysis. Besides, some studies showed satisfying outcomes regarding carbohydrate-based vaccines in BC treatment. Recent advancements in therapeutic vaccines for breast cancer were promising strategies that could be accessible in the near future.
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Affiliation(s)
- Mahdi Kohansal Vajari
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad-Javad Sanaei
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sina Salari
- Department of Medical Oncology-Hematology, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Rezvani
- Department of Internal Medicine, Hematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mehrnaz Sadat Ravari
- Research Center for Hydatid Disease in Iran, Kerman University of Medical Sciences, Kerman, Iran
| | - Davood Bashash
- Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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18
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Lin X, Zong C, Zhang Z, Fang W, Xu P. Progresses in biomarkers for cancer immunotherapy. MedComm (Beijing) 2023; 4:e387. [PMID: 37799808 PMCID: PMC10547938 DOI: 10.1002/mco2.387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 09/02/2023] [Accepted: 09/08/2023] [Indexed: 10/07/2023] Open
Abstract
Currently, checkpoint inhibitor-based immunotherapy has emerged as prevailing treatment modality for diverse cancers. However, immunotherapy as a first-line therapy has not consistently yielded durable responses. Moreover, the risk of immune-related adverse events increases with combination regimens. Thus, the development of predictive biomarkers is needed to optimize individuals benefit, minimize risk of toxicities, and guide combination approaches. The greatest focus has been on tumor programmed cell death-ligand 1 (PD-L1), microsatellite instability (MSI), and tumor mutational burden (TMB). However, there remains a subject of debate due to thresholds variability and significant heterogeneity. Major unmet challenges in immunotherapy are the discovery and validation of predictive biomarkers. Here, we show the status of tumor PD-L1, MSI, TMB, and emerging data on novel biomarker strategies with oncogenic signaling and epigenetic regulation. Considering the exploration of peripheral and intestinal immunity has served as noninvasive alternative in predicting immunotherapy, this review also summarizes current data in systemic immunity, encompassing solute PD-L1 and TMB, circulating tumor DNA and infiltrating lymphocytes, routine emerging inflammatory markers and cytokines, as well as gut microbiota. This review provides up-to-date information on the evolving field of currently available biomarkers in predicting immunotherapy. Future exploration of novel biomarkers is warranted.
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Affiliation(s)
- Xuwen Lin
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
- Department of Internal MedicineShantou University Medical CollegeShantouGuangdong ProvinceChina
| | - Chenyu Zong
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
- Department of Internal MedicineZunyi Medical UniversityZunyiGuizhou ProvinceChina
| | - Zhihan Zhang
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
| | - Weiyi Fang
- Cancer Research InstituteSchool of Basic Medical ScienceSouthern Medical UniversityGuangzhouGuangdong ProvinceChina
- Cancer CenterIntegrated Hospital of Traditional Chinese MedicineSouthern Medical UniversityGuangzhouGuangdong ProvinceChina
| | - Ping Xu
- Department of Pulmonary and Critical Care MedicinePeking University Shenzhen HospitalShenzhenGuangdong ProvinceChina
- Department of Internal MedicineZunyi Medical UniversityZunyiGuizhou ProvinceChina
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19
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Long Y, Yang W, Bai Y, Tao H, Zhang F, Wang L, Yang B, Huang D, Han X, Hu Y. Prediction model for hyperprogressive disease in patients with advanced solid tumors received immune-checkpoint inhibitors: a pan-cancer study. Cancer Cell Int 2023; 23:224. [PMID: 37777758 PMCID: PMC10543870 DOI: 10.1186/s12935-023-03070-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 09/17/2023] [Indexed: 10/02/2023] Open
Abstract
BACKGROUND Hyper progressive disease (HPD) describes the phenomenon that patients can't benefit from immunotherapy but cause rapid tumor progression. HPD is a particular phenomenon in immunotherapy but lacks prediction methods. Our study aims to screen the factors that may forecast HPD and provide a predictive model for risky stratifying. METHODS We retrospectively reviewed advanced-stage tumor patients who received immune checkpoint inhibitors (ICI) in the General PLA Hospital. Subsequently, we calculated the tumor growth kinetics ratio (TGKr) and identified typical HPD patients. Differences analysis of clinical characteristics was performed, and a predictive binary classification model was constructed. RESULTS 867 patients with complete image information were screened from more than 3000 patients who received ICI between January 2015 and January 2020. Among them, 36 patients were identified as HPD for TGKr > 2. After the propensity score matched, confounding factors were limited. Survival analysis revealed that the clinical outcome of HPD patients was significantly worse than non-HPD patients. Besides, we found that Body Mass Index (BMI), anemia, lymph node metastasis in non-draining areas, pancreatic metastasis, and whether combined with anti-angiogenesis or chemotherapy therapy were closely connected with the HPD incidence. Based on these risk factors, we constructed a visualised predicted nomogram model, and the Area Under Curve (AUC) is 0.850 in the train dataset, whereas 0.812 in the test dataset. CONCLUSION We carried out a retrospective study for HPD based on real-world patients and constructed a clinically feasible and practical model for predicting HPD incidence, which could help oncologists to stratify risky patients and select treatment strategies.
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Affiliation(s)
- Yaping Long
- School of Medicine, Nankai University, 94 Weijin Road, Nankai, Tianjin, China
| | - Wenyu Yang
- School of Medicine, Nankai University, 94 Weijin Road, Nankai, Tianjin, China
| | - Yibing Bai
- PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Haitao Tao
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Fan Zhang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Lijie Wang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Bo Yang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Di Huang
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China
| | - Xiao Han
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China.
| | - Yi Hu
- School of Medicine, Nankai University, 94 Weijin Road, Nankai, Tianjin, China.
- PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing, 100853, People's Republic of China.
- Department of Medical Oncology, Department of Medical Oncology, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China.
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20
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Johnson RL, Ganesan S, Thangavelu A, Theophilou G, de Jong D, Hutson R, Nugent D, Broadhead T, Laios A, Cummings M, Orsi NM. Immune Checkpoint Inhibitors Targeting the PD-1/PD-L1 Pathway in Advanced, Recurrent Endometrial Cancer: A Scoping Review with SWOT Analysis. Cancers (Basel) 2023; 15:4632. [PMID: 37760602 PMCID: PMC10527181 DOI: 10.3390/cancers15184632] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/06/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
Results of recent clinical trials using the immune check point inhibitors (ICI) pembrolizumab or dostarlimab with/without lenvatinib has led to their approval for specific molecular subgroups of advanced recurrent endometrial cancer (EC). Herein, we summarise the clinical data leading to this first tissue-agnostic approval. As this novel therapy is not yet available in the United Kingdom standard care setting, we explore the strengths, weaknesses, opportunities, and threats (SWOT) of ICI treatment in EC. Major databases were searched focusing on clinical trials using programmed cell death protein 1 (PD-1) and its ligand (PD-L1) ICI which ultimately contributed to anti-PD-1 approval in EC. We performed a data quality assessment, reviewing survival and safety analysis. We included 15 studies involving 1609 EC patients: 458 with mismatch repair deficiency (MMRd)/microsatellite instability-high (MSI-H) status and 1084 with mismatch repair proficiency/microsatellite stable (MMRp/MSS) status. Pembrolizumab/dostarlimab have been approved for MMRd ECs, with the addition of lenvatinib for MMRp cases in the recurrent setting. Future efforts will focus on the pathological assessment of biomarkers to determine molecular phenotypes that correlate with response or resistance to ICI in order to identify patients most likely to benefit from this treatment.
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Affiliation(s)
- Racheal Louise Johnson
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Subhasheenee Ganesan
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Amudha Thangavelu
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Georgios Theophilou
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Diederick de Jong
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Richard Hutson
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - David Nugent
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Timothy Broadhead
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Alexandros Laios
- Department of Gynaecological Oncology, St James’s University Hospital, Leeds LS9 7TF, UK
| | - Michele Cummings
- Leeds Institute of Medical Research, St James’s University Hospital, The University of Leeds, Leeds LS9 7TF, UK
| | - Nicolas Michel Orsi
- Leeds Institute of Medical Research, St James’s University Hospital, The University of Leeds, Leeds LS9 7TF, UK
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21
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Chen S, Han L, Guo S, Tan Z, Dai G. Hyperprogressive disease during PD-1 blockade in patients with advanced pancreatic cancer. Hum Vaccin Immunother 2023; 19:2252692. [PMID: 37675466 PMCID: PMC10486295 DOI: 10.1080/21645515.2023.2252692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/02/2023] [Accepted: 08/13/2023] [Indexed: 09/08/2023] Open
Abstract
The occurrence of markedly accelerated tumor growth during immunotherapy is considered a new mode of progression called hyperprogressive disease (HPD) and its impact on pancreatic cancer (PC) patients receiving immunotherapy is unknown. In this study, we described and explored the incidence, prognosis and predictors of HPD in patients with advanced PC treated with programmed cell death-1 (PD-1) inhibitors. We retrospectively analyzed clinicopathological data from 104 patients with advanced pancreatic cancer who were treated with PD-1 inhibitors at our institution during 2015-2020 and identified 10 (9.6%) patients with HPD. Overall survival (OS) was significantly poorer in patients with HPD compared to patients with progressive disease (PD) (median OS: 5.6 vs. 3.6 months, p < .01). Clinicopathological factors associated with the occurrence of HPD included smoking, metastatic sites >2, liver metastasis, antibiotic therapy within 21 days before immunotherapy (Abx B21), hemoglobin (Hb) level <110 g/L, and PD-1 inhibitor treatment line >2. Subgroup analysis showed that high levels of CA19-9 at baseline were associated with the development of subsequent HPD (p = .024) and a worse prognosis (mOS:16.2 months vs. 6.1 months, p < .01). Our study demonstrated that HPD may occur in PC patients treated with PD-1 inhibitors and is associated with several clinicopathological characteristics and poor prognosis. The baseline tumor marker CA19-9 may be one of the early predictors of HPD development in PC patients receiving immunotherapy.
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Affiliation(s)
- Shiyun Chen
- Department of Oncology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
- Department of Oncology, Medical School of Chinese PLA, Beijing, China
| | - Lu Han
- Department of Oncology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
- Department of Oncology, Medical School of Chinese PLA, Beijing, China
| | - Shiyuan Guo
- Department of Oncology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
- Department of Oncology, Medical School of Chinese PLA, Beijing, China
| | - Zhaoli Tan
- Department of Oncology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Guanghai Dai
- Department of Oncology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
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22
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Tostes K, Siqueira AP, Reis RM, Leal LF, Arantes LMRB. Biomarkers for Immune Checkpoint Inhibitor Response in NSCLC: Current Developments and Applicability. Int J Mol Sci 2023; 24:11887. [PMID: 37569262 PMCID: PMC10418476 DOI: 10.3390/ijms241511887] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/13/2023] Open
Abstract
Lung cancer has the highest mortality rate among all cancer types, resulting in over 1.8 million deaths annually. Immunotherapy utilizing immune checkpoint inhibitors (ICIs) has revolutionized the treatment of non-small cell lung cancer (NSCLC). ICIs, predominantly monoclonal antibodies, modulate co-stimulatory and co-inhibitory signals crucial for maintaining immune tolerance. Despite significant therapeutic advancements in NSCLC, patients still face challenges such as disease progression, recurrence, and high mortality rates. Therefore, there is a need for predictive biomarkers that can guide lung cancer treatment strategies. Currently, programmed death-ligand 1 (PD-L1) expression is the only established biomarker for predicting ICI response. However, its accuracy and robustness are not consistently reliable. This review provides an overview of potential biomarkers currently under development or in the validation stage that hold promise in improving the classification of responders and non-responders to ICI therapy in the near future.
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Affiliation(s)
- Katiane Tostes
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
| | - Aléxia Polo Siqueira
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
| | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
- Life and Health Sciences Research Institute (ICVS), Medical School, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s-PT Government Associate Laboratory, 4806-909 Guimarães, Portugal
| | - Leticia Ferro Leal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
- Barretos School of Health Sciences, Dr. Paulo Prata-FACISB, Barretos 14785-002, São Paulo, Brazil
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23
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Pawłowska A, Rekowska A, Kuryło W, Pańczyszyn A, Kotarski J, Wertel I. Current Understanding on Why Ovarian Cancer Is Resistant to Immune Checkpoint Inhibitors. Int J Mol Sci 2023; 24:10859. [PMID: 37446039 DOI: 10.3390/ijms241310859] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/21/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
The standard treatment of ovarian cancer (OC) patients, including debulking surgery and first-line chemotherapy, is unsatisfactory because of recurrent episodes in the majority (~70%) of patients with advanced OC. Clinical trials have shown only a modest (10-15%) response of OC individuals to treatment based on immune checkpoint inhibitors (ICIs). The resistance of OC to therapy is caused by various factors, including OC heterogeneity, low density of tumor-infiltrating lymphocytes (TILs), non-cellular and cellular interactions in the tumor microenvironment (TME), as well as a network of microRNA regulating immune checkpoint pathways. Moreover, ICIs are the most efficient in tumors that are marked by high microsatellite instability and high tumor mutation burden, which is rare among OC patients. The great challenge in ICI implementation is connected with distinguishing hyper-, pseudo-, and real progression of the disease. The understanding of the immunological, molecular, and genetic mechanisms of OC resistance is crucial to selecting the group of OC individuals in whom personalized treatment would be beneficial. In this review, we summarize current knowledge about the selected factors inducing OC resistance and discuss the future directions of ICI-based immunotherapy development for OC patients.
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Affiliation(s)
- Anna Pawłowska
- Independent Laboratory of Cancer Diagnostics and Immunology, Department of Oncological Gynaecology and Gynaecology, Faculty of Medicine, Medical University of Lublin, Chodźki 1, 20-093 Lublin, Poland
| | - Anna Rekowska
- Students' Scientific Association, Independent Laboratory of Cancer Diagnostics and Immunology, Medical University of Lublin, Chodźki 1, 20-093 Lublin, Poland
| | - Weronika Kuryło
- Students' Scientific Association, Independent Laboratory of Cancer Diagnostics and Immunology, Medical University of Lublin, Chodźki 1, 20-093 Lublin, Poland
| | - Anna Pańczyszyn
- Institute of Medical Sciences, Department of Biology and Genetics, Faculty of Medicine, University of Opole, Oleska 48, 45-052 Opole, Poland
| | - Jan Kotarski
- Independent Laboratory of Cancer Diagnostics and Immunology, Department of Oncological Gynaecology and Gynaecology, Faculty of Medicine, Medical University of Lublin, Chodźki 1, 20-093 Lublin, Poland
| | - Iwona Wertel
- Independent Laboratory of Cancer Diagnostics and Immunology, Department of Oncological Gynaecology and Gynaecology, Faculty of Medicine, Medical University of Lublin, Chodźki 1, 20-093 Lublin, Poland
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24
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Gong C, Zhang W, Sun Y, Shou J, Jiang Z, Liu T, Wang S, Liu J, Sun Y, Zhou A. Exploration of the immunogenetic landscape of hyperprogressive disease after combined immunotherapy in cancer patients. iScience 2023; 26:106720. [PMID: 37255657 PMCID: PMC10225883 DOI: 10.1016/j.isci.2023.106720] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/31/2023] [Accepted: 04/19/2023] [Indexed: 06/01/2023] Open
Abstract
The immune-genetic changes that occur in cancer patients experiencing hyperprogressive disease (HPD) during combined immunotherapy are unclear. In this study, HPD patients with pre- and post-HPD samples and non-HPD patients with solid tumors were molecularly characterized by genetic and tumor immune microenvironment (TiME) analyses of paired samples by whole-exome sequencing, RNA sequencing, and multiplex immunofluorescence. The genetic analysis of paired samples showed that almost all the tumor driver gene mutations were preserved between pre- and post-HPD tumors. HPD patients had higher frequencies of mutations in TP53 and CNN2, and a significantly higher mutant-allele tumor heterogeneity than non-HPD patients. Tumor IL-6 mRNA was upregulated in post-HPD samples vs. pre-HPD, accompanied by a potential immune suppressive TiME with an elevated M2/M1 ratio. Salvage treatment with irinotecan plus bevacizumab was effective in one HPD patient, who experienced prolonged survival. These genetic features and TiME characteristics might help identify the features of HPD after immunotherapy.
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Affiliation(s)
- Caifeng Gong
- 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 100021, China
| | - Wen 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 100021, China
| | - Yongkun Sun
- 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 100021, China
| | - Jianzhong Shou
- Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Zhichao Jiang
- 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 100021, China
| | - Tianyi Liu
- 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 100021, China
| | - Shengzhou Wang
- GenomiCare Biotechnology Co. Ltd, Shanghai 201203, China
| | - Jun Liu
- GenomiCare Biotechnology Co. Ltd, Shanghai 201203, China
| | - Ying Sun
- GenomiCare Biotechnology Co. Ltd, Shanghai 201203, China
| | - Aiping Zhou
- 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 100021, China
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25
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Mishra R, Sukhbaatar A, Mori S, Kodama T. Metastatic lymph node targeted CTLA4 blockade: a potent intervention for local and distant metastases with minimal ICI-induced pneumonia. J Exp Clin Cancer Res 2023; 42:132. [PMID: 37259163 DOI: 10.1186/s13046-023-02645-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/14/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Immune checkpoint blockade (ICB) elicits a strong and durable therapeutic response, but its application is limited by disparate responses and its associated immune-related adverse events (irAEs). Previously, in a murine model of lymph node (LN) metastasis, we showed that intranodal administration of chemotherapeutic agents using a lymphatic drug delivery system (LDDS) elicits stronger therapeutic responses in comparison to systemic drug delivery approaches, while minimizing systemic toxicity, due to its improved pharmacokinetic profile at the intended site. Importantly, the LN is a reservoir of immunotherapeutic targets. We therefore hypothesized that metastatic LN-targeted ICB can amplify anti-tumor response and uncouple it from ICB-induced irAEs. METHODS To test our hypothesis, models of LN and distant metastases were established with luciferase expressing LM8 cells in MXH10/Mo-lpr/lpr mice, a recombinant inbred strain of mice capable of recapitulating ICB-induced interstitial pneumonia. This model was used to interrogate ICB-associated therapeutic response and immune related adverse events (irAEs) by in vivo imaging, high-frequency ultrasound imaging and histopathology. qPCR and flowcytometry were utilized to uncover the mediators of anti-tumor immunity. RESULTS Tumor-bearing LN (tbLN)-directed CTLA4 blockade generated robust anti-tumor response against local and systemic metastases, thereby improving survival. The anti-tumor effects were accompanied by an upregulation of effector CD8T cells in the tumor-microenvironment and periphery. In comparison, non-specific CTLA4 blockade was found to elicit weaker anti-tumor effect and exacerbated ICI-induced irAEs, especially interstitial pneumonia. Together these data highlight the importance of tbLN-targeted checkpoint blockade for efficacious response. CONCLUSIONS Intranodal delivery of immune checkpoint inhibitors to metastatic LN can potentiate therapeutic response while minimizing irAEs stemming from systemic lowering of immune activation threshold.
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Affiliation(s)
- Radhika Mishra
- Laboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan
| | - Ariunbuyan Sukhbaatar
- Laboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan
- Biomedical Engineering Cancer Research Center, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan
- Division of Oral and Maxillofacial Oncology and Surgical Sciences, Graduate School of Dentistry, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan
| | - Shiro Mori
- Laboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan
- Biomedical Engineering Cancer Research Center, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan
- Division of Oral and Maxillofacial Oncology and Surgical Sciences, Graduate School of Dentistry, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan
| | - Tetsuya Kodama
- Laboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan.
- Biomedical Engineering Cancer Research Center, Graduate School of Biomedical Engineering, Tohoku University, 4-1 Seiryo, Aoba, Sendai, Miyagi, 980-8575, Japan.
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26
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Laface C, Maselli FM, Santoro AN, Iaia ML, Ambrogio F, Laterza M, Guarini C, De Santis P, Perrone M, Fedele P. The Resistance to EGFR-TKIs in Non-Small Cell Lung Cancer: From Molecular Mechanisms to Clinical Application of New Therapeutic Strategies. Pharmaceutics 2023; 15:1604. [PMID: 37376053 DOI: 10.3390/pharmaceutics15061604] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/13/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023] Open
Abstract
Almost 17% of Western patients affected by non-small cell lung cancer (NSCLC) have an activating epidermal growth factor receptor (EGFR) gene mutation. Del19 and L858R are the most-common ones; they are positive predictive factors for EGFR tyrosine kinase inhibitors (TKIs). Currently, osimertinib, a third-generation TKI, is the standard first-line therapy for advanced NSCLC patients with common EGFR mutations. This drug is also administered as a second-line treatment for those patients with the T790M EGFR mutation and previously treated with first- (erlotinib, gefitinib) or second- (afatinib) generation TKIs. However, despite the high clinical efficacy, the prognosis remains severe due to intrinsic or acquired resistance to EGRF-TKIs. Various mechanisms of resistance have been reported including the activation of other signalling pathways, the development of secondary mutations, the alteration of the downstream pathways, and phenotypic transformation. However, further data are needed to achieve the goal of overcoming resistance to EGFR-TKIs, hence the necessity of discovering novel genetic targets and developing new-generation drugs. This review aimed to deepen the knowledge of intrinsic and acquired molecular mechanisms of resistance to EGFR-TKIs and the development of new therapeutic strategies to overcome TKIs' resistance.
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Affiliation(s)
- Carmelo Laface
- Medical Oncology, Dario Camberlingo Hospital, 72021 Francavilla Fontana, Italy
| | | | | | - Maria Laura Iaia
- Medical Oncology, Dario Camberlingo Hospital, 72021 Francavilla Fontana, Italy
| | - Francesca Ambrogio
- Section of Dermatology, Department of Biomedical Science and Human Oncology, University of Bari, 70124 Bari, Italy
| | - Marigia Laterza
- Division of Cardiac Surgery, University of Bari, 70124 Bari, Italy
| | - Chiara Guarini
- Medical Oncology, Dario Camberlingo Hospital, 72021 Francavilla Fontana, Italy
| | - Pierluigi De Santis
- Medical Oncology, Dario Camberlingo Hospital, 72021 Francavilla Fontana, Italy
| | - Martina Perrone
- Medical Oncology, Dario Camberlingo Hospital, 72021 Francavilla Fontana, Italy
| | - Palma Fedele
- Medical Oncology, Dario Camberlingo Hospital, 72021 Francavilla Fontana, Italy
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27
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Li Y, Chen T, Nie TY, Han J, He Y, Tang X, Zhang L. Hyperprogressive disease in non-small cell lung cancer after PD-1/PD-L1 inhibitors immunotherapy: underlying killer. Front Immunol 2023; 14:1200875. [PMID: 37283759 PMCID: PMC10239849 DOI: 10.3389/fimmu.2023.1200875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 04/24/2023] [Indexed: 06/08/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) target the negative regulatory pathway of T cells and effectively reactive the anti-tumor immune function of T cells by blocking the key pathway of the immune escape mechanism of the tumor-PD-1/PD-L1, and fundamentally changing the prospect of immunotherapy for non-small cell lung cancer patients. However, such promising immunotherapy is overshadowed by Hyperprogressive Disease, a response pattern associated with unwanted accelerated tumor growth and characterized by poor prognosis in a fraction of treated patients. This review comprehensively provides an overview of Hyperprogressive Disease in immune checkpoint inhibitor-based immunotherapy for non-small cell lung cancer including its definition, biomarkers, mechanisms, and treatment. A better understanding of the black side of immune checkpoint inhibitors therapy will provide a more profound insight into the pros and cons of immunotherapy.
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Affiliation(s)
- Yanping Li
- Department of Respiratory Medicine, The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Tianhong Chen
- Department of Thoracic Surgery , The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Tian Yi Nie
- Department of Respiratory Medicine, The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Juyuan Han
- Department of Respiratory Medicine, The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Yunyan He
- Department of Thoracic Surgery, Yunnan Cancer Center, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xingxing Tang
- Department of Thoracic Surgery , The Third People’s Hospital of Honghe Prefecture, Gejiu, China
| | - Li Zhang
- Department of Oncology, Gejiu City People’s Hospital, Diannan Central Hospital of Honghe Prefecture, The Fifth Affiliated Hospital of Kunming Medical University, Gejiu, China
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Yumita S, Ogasawara S, Nakagawa M, Maruta S, Okubo T, Itokawa N, Iino Y, Obu M, Haga Y, Seki A, Kogure T, Ishino T, Ogawa K, Fujiwara K, Iwanaga T, Fujita N, Sakuma T, Kojima R, Kanzaki H, Koroki K, Inoue M, Kobayashi K, Kiyono S, Nakamura M, Kanogawa N, Saito T, Kondo T, Nakagawa R, Nakamoto S, Muroyama R, Chiba T, Itobayashi E, Atsukawa M, Koma Y, Azemoto R, Ito K, Mizumoto H, Kato J, Kato N. Hyperprogressive disease during atezolizumab plus bevacizumab treatment in patients with advanced hepatocellular carcinoma from Japanese real-world practice. BMC Gastroenterol 2023; 23:101. [PMID: 37003980 PMCID: PMC10067175 DOI: 10.1186/s12876-023-02731-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 03/17/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Hyperprogressive disease (HPD) is a phenomenon with greatly accelerated tumor growth and clinical deterioration rates compared to pre-therapy, in patients treated with immune checkpoint inhibitors (ICI). The aim of this study is to clarify the reality of HPD in patients with advanced hepatocellular carcinoma (HCC) who were treated with atezolizumab plus bevacizumab (Atez/Bev) using tumor dynamics. METHODS Medical records of consecutive patients with advanced HCC who were treated with Atez/Bev were retrospectively reviewed. HPD was defined as a more than two- or fourfold increase in tumor growth rate (TGR) or tumor growth kinetics rate (TGKR) before and after treatment. Overall survival (OS) and baseline characteristics with or without HPD were analyzed. RESULTS A total of 85 patients were included in the analysis. When HPD was defined as a twofold of TGR or TGKR, 8 patients (8/85, 9.4%) had HPD and 11 had PD without HPD. A total of 5 patients (5/85, 5.9%) were diagnosed with HPD and 14 with PD without HPD when HPD was defined as a fourfold of TGR or TGKR. No significant difference was observed in the baseline characteristics between HPD and non-HPD. CONCLUSION The prevalence of HPD in patients with advanced HCC treated with Atez/Bev was lower than those treated with nivolumab monotherapy. The HPD mechanism in ICI combined with antibodies targeting vascular endothelial growth factor (VEGF) remains to be elucidated.
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Affiliation(s)
- Sae Yumita
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Sadahisa Ogasawara
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan.
| | - Miyuki Nakagawa
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Susumu Maruta
- Department of Gastroenterology, Asahi General Hospital, Asahi, Japan
| | - Tomomi Okubo
- Department of Gastroenterology, Nippon Medical School Chiba Hokusoh Hospital, Inzai, Japan
| | - Norio Itokawa
- Department of Gastroenterology, Nippon Medical School Chiba Hokusoh Hospital, Inzai, Japan
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Nippon Medical School, Tokyo, Japan
| | - Yotaro Iino
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
- Department of Gastroenterology, Kimitsu Chuo Hospital, Kisarazu, Japan
| | - Masamichi Obu
- Department of Gastroenterology, Kimitsu Chuo Hospital, Kisarazu, Japan
| | - Yuki Haga
- Department of Gastroenterology, National Hospital Organization Chiba Medical Center, Chiba, Japan
| | - Atsuyoshi Seki
- Department of Gastroenterology, Funabashi Municipal Medical Center, Funabashi, Japan
| | - Tadayoshi Kogure
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Takamasa Ishino
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Keita Ogawa
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Kisako Fujiwara
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Terunao Iwanaga
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Naoto Fujita
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Takafumi Sakuma
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Ryuta Kojima
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Hiroaki Kanzaki
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Keisuke Koroki
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Masanori Inoue
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Kazufumi Kobayashi
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Soichiro Kiyono
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Masato Nakamura
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Naoya Kanogawa
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Tomoko Saito
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Takayuki Kondo
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Ryo Nakagawa
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Shingo Nakamoto
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Ryosuke Muroyama
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Tetsuhiro Chiba
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Ei Itobayashi
- Department of Gastroenterology, Asahi General Hospital, Asahi, Japan
| | - Masanori Atsukawa
- Department of Gastroenterology, Nippon Medical School Chiba Hokusoh Hospital, Inzai, Japan
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Nippon Medical School, Tokyo, Japan
| | - Yoshihiro Koma
- Department of Gastroenterology, Kimitsu Chuo Hospital, Kisarazu, Japan
| | - Ryosaku Azemoto
- Department of Gastroenterology, Kimitsu Chuo Hospital, Kisarazu, Japan
| | - Kenji Ito
- Department of Gastroenterology, National Hospital Organization Chiba Medical Center, Chiba, Japan
| | - Hideaki Mizumoto
- Department of Gastroenterology, Funabashi Municipal Medical Center, Funabashi, Japan
| | - Jun Kato
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
| | - Naoya Kato
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-Ku, Chiba, Japan
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Advances in the Study of Hyperprogression of Different Tumors Treated with PD-1/PD-L1 Antibody and the Mechanisms of Its Occurrence. Cancers (Basel) 2023; 15:cancers15041314. [PMID: 36831655 PMCID: PMC9954680 DOI: 10.3390/cancers15041314] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) including PD-1/PD-L1 antibodies, have demonstrated significant clinical benefits in the treatment of individuals with many types of cancer. However, as more and more patients use such therapies, the side effects of immune checkpoint inhibitors have also been discovered. These include accelerated tumor growth in some patients, creating new lesions, and even life-threatening ones. These side effects are known as hyperprogression disease (HPD), and different types of tumors have different HPD conditions after ICIs treatment. Therefore, understanding the pathogenesis of HPD and predicting its occurrence is critical for patients using ICIs therapy. Here, we will briefly review the current status of PD-1/PD-L1 antibody therapy, HPD occurrence in various types of tumors, and the underlying mechanism.
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30
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Champiat S, Marabelle A. Paradoxical cancer cell stimulation by IFNγ drives tumor hyperprogression upon checkpoint blockade immunotherapy. Cancer Cell 2023; 41:229-231. [PMID: 36787694 DOI: 10.1016/j.ccell.2023.01.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Hyperprogression is a paradoxical cancer acceleration observed in a minority of patients upon immunotherapy. In this issue of Cancer Cell, Li et al demonstrate that hyperprogressive tumors upregulate the Wnt/β-catenin pathway. This activation was subsequent to an oncogenic FGF2-mediated autocrine loop generated by the IFNγ released by CD8+ T cells upon PD-1/PD-L1 blockade.
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Affiliation(s)
- Stephane Champiat
- Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France; Laboratoire de Recherche Translationnelle en Immunothérapie, INSERM U1015, Gustave Roussy, Villejuif, France; Centre d'Investigation Clinique BIOTHERIS, INSERM CIC1428, Gustave Roussy, Villejuif, France
| | - Aurelien Marabelle
- Département d'Innovation Thérapeutique et d'Essais Précoces (DITEP), Gustave Roussy, Villejuif, France; Laboratoire de Recherche Translationnelle en Immunothérapie, INSERM U1015, Gustave Roussy, Villejuif, France; Centre d'Investigation Clinique BIOTHERIS, INSERM CIC1428, Gustave Roussy, Villejuif, France; Faculté de Médecine, Université Paris Saclay, Kremlin-Bicetre, France.
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31
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Li G, Choi JE, Kryczek I, Sun Y, Liao P, Li S, Wei S, Grove S, Vatan L, Nelson R, Schaefer G, Allen SG, Sankar K, Fecher LA, Mendiratta-Lala M, Frankel TL, Qin A, Waninger JJ, Tezel A, Alva A, Lao CD, Ramnath N, Cieslik M, Harms PW, Green MD, Chinnaiyan AM, Zou W. Intersection of immune and oncometabolic pathways drives cancer hyperprogression during immunotherapy. Cancer Cell 2023; 41:304-322.e7. [PMID: 36638784 PMCID: PMC10286807 DOI: 10.1016/j.ccell.2022.12.008] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/07/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023]
Abstract
Immune checkpoint blockade (ICB) can produce durable responses against cancer. We and others have found that a subset of patients experiences paradoxical rapid cancer progression during immunotherapy. It is poorly understood how tumors can accelerate their progression during ICB. In some preclinical models, ICB causes hyperprogressive disease (HPD). While immune exclusion drives resistance to ICB, counterintuitively, patients with HPD and complete response (CR) following ICB manifest comparable levels of tumor-infiltrating CD8+ T cells and interferon γ (IFNγ) gene signature. Interestingly, patients with HPD but not CR exhibit elevated tumoral fibroblast growth factor 2 (FGF2) and β-catenin signaling. In animal models, T cell-derived IFNγ promotes tumor FGF2 signaling, thereby suppressing PKM2 activity and decreasing NAD+, resulting in reduction of SIRT1-mediated β-catenin deacetylation and enhanced β-catenin acetylation, consequently reprograming tumor stemness. Targeting the IFNγ-PKM2-β-catenin axis prevents HPD in preclinical models. Thus, the crosstalk of core immunogenic, metabolic, and oncogenic pathways via the IFNγ-PKM2-β-catenin cascade underlies ICB-associated HPD.
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Affiliation(s)
- Gaopeng Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Jae Eun Choi
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Yilun Sun
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Peng Liao
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Shasha Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Reagan Nelson
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Grace Schaefer
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Steven G Allen
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Kamya Sankar
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Leslie A Fecher
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Angel Qin
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Jessica J Waninger
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Alangoya Tezel
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Ajjai Alva
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Christopher D Lao
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Nithya Ramnath
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Paul W Harms
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Michael D Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan, Ann Arbor, MI, USA; Graduate Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA.
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
| | - Weiping Zou
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan, Ann Arbor, MI, USA; Graduate Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA.
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Systemic Inflammation/Nutritional Status Scores Are Prognostic but Not Predictive in Metastatic Non-Small-Cell Lung Cancer Treated with First-Line Immune Checkpoint Inhibitors. Int J Mol Sci 2023; 24:ijms24043618. [PMID: 36835030 PMCID: PMC9966997 DOI: 10.3390/ijms24043618] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/30/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023] Open
Abstract
Biomarkers of systemic inflammation/nutritional status have been associated with outcomes in advanced-stage non-small-cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs). However, most of them were not tested in cohorts of patients treated with ICIs in combination with chemotherapy (CT) (ICI + CT) or with CT alone, making it impossible to discriminate a predictive from a prognostic effect. We conducted a single-center retrospective study to search for associations between various baseline biomarkers/scores that reflected the systemic inflammation/nutritional status (Lung Immune Prognostic Index, Modified Lung Immune Prognostic Index, Scottish Inflammatory Prognostic Score, Advanced Lung Cancer Inflammation Index, EPSILoN, Prognostic Nutritional Index, Systemic Immune-Inflammation Index, Gustave Roussy Immune Score, Royal Marsden Hospital Prognostic Score, Lung Immuno-oncology Prognostic Score 3, Lung Immuno-oncology Prognostic Score 4, score published by Holtzman et al., and Glasgow Prognostic Score) and outcomes in metastatic NSCLC treated in a first-line setting either with ICI in monotherapy (cohort 1; n = 75), ICI + CT (cohort 2; n = 56), or CT alone (cohort 3; n = 221). In the three cohorts, the biomarkers/scores were moderately associated with overall survival (OS) and progression-free survival (PFS). Their prognostic performance was relatively poor, with a maximum c-index of 0.66. None of them was specific to ICIs and could help to choose the best treatment modality. The systemic inflammation/nutritional status, associated with outcomes independently of the treatment, is therefore prognostic but not predictive in metastatic NSCLC.
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Fendl B, Berghoff AS, Preusser M, Maier B. Macrophage and monocyte subsets as new therapeutic targets in cancer immunotherapy. ESMO Open 2023; 8:100776. [PMID: 36731326 PMCID: PMC10024158 DOI: 10.1016/j.esmoop.2022.100776] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/05/2022] [Accepted: 12/11/2022] [Indexed: 02/04/2023] Open
Abstract
The introduction of immune checkpoint inhibitors (ICIs) for the treatment of solid cancers dramatically turned the tables in clinical routine. However, therapy success is still limited with up to 70% of non-responders in patients with ICI treatment. Traditionally, most immunotherapy approaches aim at directly stimulating anti-tumor T cell responses. More recently, tumor-associated macrophages have come into focus due to their predominance in solid tumors. Intensive cross-talk with tumor cells and immune as well as stromal cells within the tumor microenvironment can drive either pro- or anti-tumorigenic macrophage phenotypes. In turn, tumor-associated macrophages strongly shape cytokine and metabolite levels in the tumor microenvironment and thus are central players in anti-tumor immunity. Thus, ambivalent macrophage populations exist which raises therapeutic possibilities to either enhance or diminish their functionality. However, molecular signals controlling tumor-associated macrophage polarization are incompletely understood. Gaining in-depth understanding of monocyte/macrophage properties both in circulation and within distinct tumor microenvironments would (i) allow the development of new therapeutic approaches, and (ii) could additionally aid our understanding of underlying mechanisms limiting current therapy with the option of combinatorial therapies to increase efficacy. In this review, we summarize recent data addressing heterogeneity of tumor-associated macrophage populations and we discuss strategies to target macrophages using known molecular pathways with the potential for straight-forward clinical application.
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Affiliation(s)
- B Fendl
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - A S Berghoff
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - M Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - B Maier
- CeMM, Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
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Osimertinib Resistance: Molecular Mechanisms and Emerging Treatment Options. Cancers (Basel) 2023; 15:cancers15030841. [PMID: 36765799 PMCID: PMC9913144 DOI: 10.3390/cancers15030841] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/24/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
The development of tyrosine kinase inhibitors (TKIs) targeting the mutant epidermal growth factor receptor (EGFR) protein initiated the success story of targeted therapies in non-small-cell lung cancer (NSCLC). Osimertinib, a third-generation EGFR-TKI, is currently indicated as first-line therapy in patients with NSCLC with sensitizing EGFR mutations, as second-line therapy in patients who present the resistance-associated mutation T790M after treatment with previous EGFR-TKIs, and as adjuvant therapy for patients with early stage resected NSCLC, harboring EGFR mutations. Despite durable responses in patients with advanced NSCLC, resistance to osimertinib, similar to other targeted therapies, inevitably develops. Understanding the mechanisms of resistance, including both EGFR-dependent and -independent molecular pathways, as well as their therapeutic potential, represents an unmet need in thoracic oncology. Interestingly, differential resistance mechanisms develop when osimertinib is administered in a first-line versus second-line setting, indicating the importance of selection pressure and clonal evolution of tumor cells. Standard therapeutic approaches after progression to osimertinib include other targeted therapies, when a targetable genetic alteration is detected, and cytotoxic chemotherapy with or without antiangiogenic and immunotherapeutic agents. Deciphering the when and how to use immunotherapeutic agents in EGFR-positive NSCLC is a current challenge in clinical lung cancer research. Emerging treatment options after progression to osimertinib involve combinations of different therapeutic approaches and novel EGFR-TKI inhibitors. Research should also be focused on the standardization of liquid biopsies in order to facilitate the monitoring of molecular alterations after progression to osimertinib.
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Zhou L, Shao L, Gao S, Cui C, Chi Z, Sheng X, Tang B, Mao L, Lian B, Yan X, Wang X, Bai X, Li S, Guo J, Si L. Impact of response patterns for patients with advanced acral melanoma treated with anti-programmed death-1 monotherapy. Br J Dermatol 2023; 188:112-121. [PMID: 36689499 DOI: 10.1093/bjd/ljac005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/24/2022] [Accepted: 09/03/2022] [Indexed: 01/22/2023]
Abstract
BACKGROUND Acral melanoma (AM) is less responsive to immunotherapy than nonacral cutaneous melanoma. Variable responses are seen during immunotherapy, including pseudoprogression, hyperprogressive disease (HPD) and heterogeneous responses. There are currently no studies on the response patterns of patients with AM treated with immunotherapy and the impact on the outcome. OBJECTIVES To evaluate the response patterns and prognosis of patients with AM treated with anti-programmed death (PD)-1 antibodies. METHODS Patients with advanced AM treated prospectively in five clinical trials of anti-PD-1 monotherapy at Peking University Cancer Hospital were included. Responses of individual metastases and heterogeneous responses were evaluated during immunotherapy. Cox proportional hazards regression analysis was conducted to identify the possible predictive factors and generate a nomogram to predict the risk of 1-year and 2-year mortality. RESULTS The overall response rate was 18·0%, the disease control rate was 36·1%, median progression-free survival was 3·5 months [95% confidence interval (CI) 1·7-5·3] and median overall survival was 17·5 months (95% CI 15·1-19·9) for anti-PD-1 monotherapy. Overall, 9·8% of patients met the criteria of HPD, and displayed a dramatically worse outcome than patients without HPD. In total, 369 metastatic lesions were assessed, with the highest response rate in lymph nodes (20·4%) and the lowest in the liver (5·6%). Homogeneous response, heterogeneous response and heterogeneous or homogeneous progression had different prognoses from the best to the worst. A predictive model was constructed and achieved good accuracy with a C-index of 0·73 (95% CI 0·63-0·84) in the training set and 0·74 (95% CI 0·61-0·86) in the validation set. CONCLUSIONS HPD during immunotherapy serves as an essential biomarker of poor prognosis in advanced AM. Metastases in different sites respond distinctively to immunotherapy. Clinically heterogeneous responses to immunotherapy affect the outcome of patients. A predictive model was built to distinguish the prognosis of acral melanoma under immunotherapy.
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Affiliation(s)
- Li Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Lizhi Shao
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing 100190, China
| | - Shunyu Gao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Chuanliang Cui
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Zhihong Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Xinan Sheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Bixia Tang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Lili Mao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Bin Lian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Xieqiao Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Xuan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Xue Bai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | | | - Jun Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
| | - Lu Si
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, 52 Fucheng Road, Haidian District, Beijing 100142, China
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Wang X, Guo Z, Wu X, Chen D, Wang F, Yang L, Luo M, Wu S, Yang C, Huang L, Fu L. Predictive Nomogram for Hyperprogressive Disease During Anti-PD-1/PD-L1 Treatment in Patients with Advanced Non-Small Cell Lung Cancer. Immunotargets Ther 2023; 12:1-16. [PMID: 36632330 PMCID: PMC9828302 DOI: 10.2147/itt.s373866] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023] Open
Abstract
Introduction Various studies have reported that anti-PD-1/PD-L1 treatment may lead to the rapid development of tumors called hyperprogressive disease (HPD). A nomogram for HPD prediction in NSCLC patients is urgently needed. Methods This retrospective cohort study included 176 cases for establishing a model of HPD prediction and 85 cases for validation in advanced NSCLC patients treated with PD-1/PD-L1 inhibitors. HPD was defined as tumor growth rate (TGR, ≥ 2), tumor growth kinetics (TGK, ≥ 2) or time to treatment failure (TTF, ≤ 2 months). Univariate and multivariate logistic regression were used to estimate the specified factors associated with HPD. Then, the nomogram was developed and validated. Results Anti-PD-1/PD-L1 therapy resulted in a 9.66% (17/176) incidence of HPD in advanced NSCLC. The overall survival (OS) and progression-free survival (PFS) in patients with HPD were significantly shorter than those in patients without HPD (OS: 7.00 vs 12.00 months, P<0.01; PFS: 2.00 vs 5.00 months, P<0.001, respectively). The HPD prediction nomogram included APTT (P<0.01), CD4+ CD25+ CD127-low cells (Treg cells) (P<0.01), the presence of liver metastasis (P<0.05), and more than two metastatic sites (P<0.05). Then, patients were divided into two groups by the "HPD score" calculated by the nomogram. The C-index was 0.845, while the area under the curve (AUC) was 0.830 (sensitivity 75.00%, specificity 91.70%). The calibration plot of HPD probability showed an optimal agreement between the actual observation and prediction by the nomogram. In the validation cohort, the AUC was up to 0.960 (sensitivity 88.70%, specificity 89.80%). Conclusions The nomogram was constructed with the presence of liver metastasis, more than two metastatic sites, lengthened APTT and a high level of Treg cells, which could be used to predict HPD risk.
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Affiliation(s)
- Xueping Wang
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Zhixing Guo
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Xingping Wu
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Da Chen
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Fang Wang
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Lewei Yang
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Min Luo
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Shaocong Wu
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Chuan Yang
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Lamei Huang
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China
| | - Liwu Fu
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, Guangzhou, 510060, People’s Republic of China,Correspondence: Liwu Fu, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Esophageal Cancer Institute; Cancer Center, Sun Yat-sen University, 651 Dongfengdong Road, Guangzhou, 510060, People’s Republic of China, Email
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Zhou H, Luo Q, Wu W, Li N, Yang C, Zou L. Radiomics-guided checkpoint inhibitor immunotherapy for precision medicine in cancer: A review for clinicians. Front Immunol 2023; 14:1088874. [PMID: 36936913 PMCID: PMC10014595 DOI: 10.3389/fimmu.2023.1088874] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/16/2023] [Indexed: 03/05/2023] Open
Abstract
Immunotherapy using immune checkpoint inhibitors (ICIs) is a breakthrough in oncology development and has been applied to multiple solid tumors. However, unlike traditional cancer treatment approaches, immune checkpoint inhibitors (ICIs) initiate indirect cytotoxicity by generating inflammation, which causes enlargement of the lesion in some cases. Therefore, rather than declaring progressive disease (PD) immediately, confirmation upon follow-up radiological evaluation after four-eight weeks is suggested according to immune-related Response Evaluation Criteria in Solid Tumors (ir-RECIST). Given the difficulty for clinicians to immediately distinguish pseudoprogression from true disease progression, we need novel tools to assist in this field. Radiomics, an innovative data analysis technique that quantifies tumor characteristics through high-throughput extraction of quantitative features from images, can enable the detection of additional information from early imaging. This review will summarize the recent advances in radiomics concerning immunotherapy. Notably, we will discuss the potential of applying radiomics to differentiate pseudoprogression from PD to avoid condition exacerbation during confirmatory periods. We also review the applications of radiomics in hyperprogression, immune-related biomarkers, efficacy, and immune-related adverse events (irAEs). We found that radiomics has shown promising results in precision cancer immunotherapy with early detection in noninvasive ways.
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Affiliation(s)
- Huijie Zhou
- Division of Medical Oncology, Cancer Center and State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, China
| | - Qian Luo
- Department of Hematology, the Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, China
| | - Wanchun Wu
- Division of Medical Oncology, Cancer Center and State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, China
| | - Na Li
- Division of Medical Oncology, Cancer Center and State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, China
| | - Chunli Yang
- Division of Medical Oncology, Cancer Center and State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, China
| | - Liqun Zou
- Division of Medical Oncology, Cancer Center and State Key Laboratory of Biotherapy, Sichuan University West China Hospital, Chengdu, China
- *Correspondence: Liqun Zou,
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Kanjanapan Y, Guduguntla G, Varikara AK, Szajer J, Yip D, Cockburn J, Fadia M. Hyperprogressive Disease (HPD) in Solid Tumours Receiving Immune Checkpoint Inhibitors in a Real-World Setting. Technol Cancer Res Treat 2023; 22:15330338231209129. [PMID: 37885403 PMCID: PMC10612441 DOI: 10.1177/15330338231209129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/15/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Abstract
Introduction: Hyperprogressive disease (HPD) is a state of accelerated tumor growth from cancer immunotherapy, associated with poor outcome. The reported incidence is 6% to 29% among studies using varying definitions of HPD, with no predictive biomarkers. Tumor infiltrating lymphocytes (TILs) are prognostic and predictive for immunotherapy benefit in various tumor types, but have only been tested for correlation with HPD in one study. Objectives: The objective of the study was to determine the prevalence of HPD in solid tumor patients treated with immune checkpoint inhibitor therapy in a real-world setting, and to assess clinicopathological features as potential biomarkers for HPD. Methods: We conducted a retrospective analysis of solid tumor patients treated with immune checkpoint inhibitors at a single institution. Imaging pre-immunotherapy and postimmunotherapy were assessed for HPD, and correlated against clinicopathological factors, including TILs and programmed death-ligand 1 (PD-L1) status through archival tumor assessment. HPD was defined per Matos et al as response evaluation criteria in solid tumors (RECIST) progressive disease, minimum increase in measurable lesions of 10 mm, plus increase of ≥40% in sum of target lesions compared with baseline and/or increase of ≥20% in sum of target lesions compared with baseline plus new lesions in at least 2 different organs. Results: HPD occurred in 11 of 87 patients (13%), and associated with inferior overall survival (median 5.5 months vs 18.3 months, P = .002). However, on multivariate analysis, only liver metastases (hazard ratio [HR] 4.66, 95% confidence interval [CI] 2.27-9.56, P < .001) and PD-L1 status (HR 0.53, 95% CI 0.30-0.95, P = .03) were significantly associated with survival. Presence of liver metastases correlated with occurence of HPD (P = .01). Age, sex, and monotherapy versus combination immunotherapy were not predictive for HPD. PD-L1 status and TILs were not associated with HPD. Conclusions: We found 13% HPD among solid tumor patients treated with immunotherapy, consistent with the range reported in prior series. Assessment for HPD is feasible outside of a clinical trials setting, using modified criteria that require comparison of 2 imaging studies. Liver metastases were associated with risk of HPD, while TILs and PD-L1 status were not predictive for HPD.
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Affiliation(s)
- Yada Kanjanapan
- Department of Medical Oncology, The Canberra Hospital, Canberra, Australia
- ANU Medical School, Australian National University, Canberra, Australia
| | - Geetha Guduguntla
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | | | - Jeremy Szajer
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | - Desmond Yip
- Department of Medical Oncology, The Canberra Hospital, Canberra, Australia
- ANU Medical School, Australian National University, Canberra, Australia
| | - John Cockburn
- ANU Medical School, Australian National University, Canberra, Australia
- Department of Medical Imaging, The Canberra Hospital, Canberra, Australia
| | - Mitali Fadia
- ANU Medical School, Australian National University, Canberra, Australia
- Department of Pathology, The Canberra Hospital, Canberra, Australia
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Zhu X, Sun L, Song N, He W, Xie B, Hu J, Zhang J, Yang J, Dai J, Bian D, Xia H, Sun F, Xiong A, Luo J, Zhang L, Yu H, Liu M, Liu H, Wang H, Zhang H, Chen C, Wu C, Duan L, Zhu Y, Zhang P, Jiang G. Safety and effectiveness of neoadjuvant PD-1 inhibitor (toripalimab) plus chemotherapy in stage II-III NSCLC (LungMate 002): an open-label, single-arm, phase 2 trial. BMC Med 2022; 20:493. [PMID: 36581917 PMCID: PMC9801594 DOI: 10.1186/s12916-022-02696-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 12/05/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND This trial aimed to analyse the safety, effectiveness and transcriptomic characteristics of neoadjuvant toripalimab plus chemotherapy in II-III non-small-cell lung cancer (NSCLC). METHODS Patient eligibility mainly involved treatment-naive, clinical stage II-III and wild-type EGFR/ALK NSCLC. The patients received 2-4 cycles of toripalimab (240 mg q3w) plus carboplatin-based chemotherapy. After the second treatment cycle, all patients were re-evaluated by a multidisciplinary team. Candidates eligible for surgery underwent surgery; otherwise, patients received the remaining treatment cycles. The primary endpoints were safety and major pathological response (MPR). Secondary endpoints were R0 resection rate, progression-free survival (PFS) and overall survival (OS). RNA sequencing of baseline and post-treatment samples was conducted to explore the transcriptomic characteristics of the therapeutic response. RESULTS In total, 50 eligible patients were enrolled, including 12 (24.0%) with resectable disease (RD) and 38 (76.0%) with potentially resectable disease (PRD). Treatment-related adverse events (TRAEs) were recorded in 48 cases (96.0%). Severe TRAEs occurred in 3 (6.0%) cases, including myelosuppression, drug-induced liver injury and death related to haemoptysis. The objective response rate (ORR) was 76.0%, with 8 (16.0%) patients having a complete response (CR), 30 (60.0%) partial response (PR), 10 (20.0%) stable disease (SD) and 2 (4.0%) progressive disease (PD). Surgery could be achieved in 12 (100%) patients with RD and 25 (65.8%) with PRD; 1 (2.0%) with PRD refused surgery. Therefore, R0 resection was performed for all 36 (100%) patients who underwent surgery; 20 (55.6%) achieved MPR, including 10 (27.8%) with a complete pathological response (pCR). The CHI3L1 (chitinase-3-like protein 1) immunohistochemistry (IHC) expression of baseline tumour samples could predict the therapeutic response (AUC=0.732), OS (P=0.017) and PFS (P=0.001). Increased PD-1 expression, T cell abundance and immune-related pathway enrichment were observed in post-treatment samples compared to baseline in the response group (CR+PR) but not in the non-response group (SD+PD). CONCLUSIONS Neoadjuvant toripalimab plus chemotherapy was safe and effective, with a high MPR and manageable TRAEs for II-III NSCLC, even converting initially PRD to RD. Disparate transcriptomic characteristics of therapeutic efficiency were observed, and CHI3L1 expression predicted therapeutic response and survival. TRIAL REGISTRATION ChiCTR1900024014, June 22, 2019.
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Affiliation(s)
- Xinsheng Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Liangdong Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Nan Song
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Wenxin He
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Boxiong Xie
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Junjie Hu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Jing Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Jie Yang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Jie Dai
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Dongliang Bian
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Haoran Xia
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Fenghuan Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Anwen Xiong
- Department of Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Jie Luo
- Department of Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Lele Zhang
- Central Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Huansha Yu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Ming Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Hongcheng Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Haifeng Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Haiping Zhang
- Department of Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Chunyan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Liang Duan
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. .,Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, No. 507 Zhengmin Road, Shanghai, 200433, China.
| | - Yuming Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. .,Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, No. 507 Zhengmin Road, Shanghai, 200433, China.
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. .,Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, No. 507 Zhengmin Road, Shanghai, 200433, China.
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. .,Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, No. 507 Zhengmin Road, Shanghai, 200433, China.
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Fu K, Xie F, Wang F, Fu L. Therapeutic strategies for EGFR-mutated non-small cell lung cancer patients with osimertinib resistance. J Hematol Oncol 2022; 15:173. [PMID: 36482474 PMCID: PMC9733018 DOI: 10.1186/s13045-022-01391-4] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/26/2022] [Indexed: 12/13/2022] Open
Abstract
Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are the preferential options for advanced non-small cell lung cancer (NSCLC) patients harboring EGFR mutations. Osimertinib is a potent irreversible third-generation EGFR-TKI targeting EGFR mutations but has little effect on wild-type EGFR. In view of its remarkable efficacy and manageable safety, osimertinib was recommended as the standard first-line treatment for advanced or metastatic NSCLC patients with EGFR mutations. However, as the other EGFR-TKIs, osimertinib will inevitably develop acquired resistance, which limits its efficacy on the treatment of EGFR-mutated NSCLC patients. The etiology of triggering osimertinib resistance is complex including EGFR-dependent and EGFR-independent pathways, and different therapeutic strategies for the NSCLC patients with osimertinib resistance have been developed. Herein, we comprehensively summarized the resistance mechanisms of osimertinib and discuss in detail the potential therapeutic strategies for EGFR-mutated NSCLC patients suffering osimertinib resistance for the sake of the improvement of survival and further achievement of precise medicine.
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Affiliation(s)
- Kai Fu
- grid.488530.20000 0004 1803 6191State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, 510060 People’s Republic of China
| | - Fachao Xie
- grid.488530.20000 0004 1803 6191State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, 510060 People’s Republic of China
| | - Fang Wang
- grid.488530.20000 0004 1803 6191State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, 510060 People’s Republic of China
| | - Liwu Fu
- grid.488530.20000 0004 1803 6191State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, 510060 People’s Republic of China
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Wu C, Zhou K, Zheng Y, Lv D, Zhao M, Hu Y, Qi F, Wang X, Feng H. Extremely high infiltration of CD8+PD-L1+ cells detected in a stage III non-small cell lung cancer patient exhibiting hyperprogression during anti-PD-L1 immunotherapy after chemoradiation: A case report. Front Oncol 2022; 12:969493. [DOI: 10.3389/fonc.2022.969493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 11/17/2022] [Indexed: 12/04/2022] Open
Abstract
In recent years, immune checkpoint inhibitors (ICIs), represented by PD-1/PD-L1 monoclonal antibodies, have become a research hotspot in the field of oncology treatment. Immunotherapy has shown significant survival advantages in a variety of solid tumors. However, the phenomenon of hyperprogressive disease (HPD) in some patients treated with immunotherapy is gradually getting more attention and focus. An early understanding of the characteristics of HPD is crucial to optimize the treatment strategy. We report a patient with unresectable stage III lung adenocarcinoma who developed HPD with metastasis during consolidation therapy with durvalumab after chemoradiation. To further investigate the potential mechanism of HPD after anti-PD-L1 treatment, primary lung baseline tissue, baseline plasma, post-immunotherapy plasma, and liver metastasis samples of the patient were detected via next-generation sequencing (NGS). Then, multiplex immunohistochemistry (mIHC) was performed on primary lung baseline tissue and liver metastasis samples. KRAS and p.G12C were identified as the major driver mutation genes. With a low tumor mutation burden (TMB) value, the patient presented a very high percentage of CD8+PD-L1+ T cells that infiltrated in the baseline tissue, with 95.5% of all CD8+ cells expressing PD-L1 and a low percentage of CD8+ T cells expressing PD-1. After the emergence of HPD from immunotherapy, liver metastases were similarly infiltrated with an extremely high proportion of CD8+PD-L1+ T cells, with 85.6% of all CD8+ cells expressing PD-L1 and almost no CD8+ T cells expressing PD-1. The extreme infiltration of PD-L1+CD8+ T cells in the tumor microenvironment of baseline tissue might be associated with the aggressive tumor growth observed in anti-PD-L1 treatment for related HPD and could be a potential biomarker for HPD development.
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Wang X, Wu C, Wei H. Humanized Germ-Free Mice for Investigating the Intervention Effect of Commensal Microbiome on Cancer Immunotherapy. Antioxid Redox Signal 2022; 37:1291-1302. [PMID: 35403435 DOI: 10.1089/ars.2022.0039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Significance: A growing body of evidence has demonstrated that the commensal microbiome is deeply involved in the host immune response, accounting for significantly divergent clinical outcomes among cancer patients receiving immunotherapy. Therefore, precise screening and evaluating of functional bacterial strains as novel targets for cancer immunotherapy have attracted great enthusiasm from both academia and industry, which calls for the construction and application of advanced animal models to support translational research in this field. Recent Advances: Significant progress has been made to elucidate the intervention effect of commensal microbiome on immunotherapy based on animal experiments. Especially, correlation between gut microbiota and host response to immunotherapy has been continuously discovered in a variety of cancer types, laying the foundation for causality establishment and mechanism research. Critical Issues: In oncology research, it is particularly not uncommon to see that a promising preclinical result fails to translate into clinical success. The use of conventional murine models in immunotherapy-associated microbiome research is very likely to bring discredit on the preclinical findings. We emphasize the value of germ-free (GF) mice and humanized mice as advanced models in this field. Future Directions: Integrating rederivation and humanization to generate humanized GF mice as preclinical models would make it possible to clarify the role of specific bacterial strains in immunotherapy as well as obtain preclinical findings that are more predictive for humans, leading to novel microbiome-based strategies for cancer immunotherapy. Antioxid. Redox Signal. 37, 1291-1302.
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Affiliation(s)
- Xinning Wang
- Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chengwei Wu
- Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hong Wei
- Precision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Su L, Hao Y, Li R, Pan W, Ma X, Weng J, Min Y. Red blood cell-based vaccines for ameliorating cancer chemoimmunotherapy. Acta Biomater 2022; 154:401-411. [PMID: 36241013 DOI: 10.1016/j.actbio.2022.10.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 09/23/2022] [Accepted: 10/03/2022] [Indexed: 12/14/2022]
Abstract
Immune checkpoint blockade (ICB) therapy has shown promising antitumor effects, but its immune response rate remains unsatisfactory. In recent years, chemotherapy has been proven to have synergistic effects with ICB therapy because some chemotherapeutic agents can enhance the immunogenicity of tumor cells by inducing immunogenic cell death (ICD). However, it cannot be ignored that chemotherapy often shows limited therapeutic efficacy due to high cytotoxicity, drug resistance, and some other side effects. Herein, we report a strategy to improve cancer immunotherapy by utilizing red blood cell-based vaccines (RBC-vaccines) where chemotherapy-induced tumor antigens (cAgs) are anchored onto red blood cells (RBCs) via the EDC/NHS-mediated amine coupling reaction. In this work, RBC-vaccines administered subcutaneously are primarily devoured by dendritic cells (DCs) and significantly improve the efficacy of αPD-1 (anti-programmed cell death 1) treatment by increasing the infiltration of intratumoral CD8+ and CD4+ T cells and elevating the intratumoral ratio of CD8+ T cells to regulatory T cells in the CT-26 colon cancer model. Finally, based on the rejection of tumor rechallenge in cured mice, the combination therapy of RBC-vaccines and αPD-1 can induce the expansion of memory T cells and thereby establish a long-term antitumor immune response. Taken together, the proposed RBC-vaccines have great potential to improve chemoimmunotherapy. STATEMENT OF SIGNIFICANCE: Immunotherapy, especially immune checkpoint blockade therapy, has made great contributions to the treatment of some advanced cancers. Unfortunately, the great majority of patients with cancer do not benefit from immunotherapy. To enhance the response rate of immunotherapy, we developed red blood cell-based vaccines (RBC-vaccines) against cancers where antigens were harvested from chemotherapy-treated cancer cells and then attached to erythrocytes via covalent surface modification. Such RBC-vaccines could provide a wide variety of tumor antigens and damage-associated molecular patterns without the use of any extra ingredients to trigger a stronger antitumor immune response. More importantly, the combination of RBC-vaccines with PD-1 blockade could significantly improve the efficacy of cancer immunotherapy and induce durable antitumor immunity.
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Affiliation(s)
- Lanhong Su
- Department of Chemistry, University of Science and Technology of China, Hefei, China
| | - Yuhao Hao
- Department of Chemistry, University of Science and Technology of China, Hefei, China
| | - Rui Li
- Department of Chemistry, University of Science and Technology of China, Hefei, China
| | - Wen Pan
- Department of Chemistry, University of Science and Technology of China, Hefei, China
| | - Xiaopeng Ma
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
| | - Jianping Weng
- The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Yuanzeng Min
- Department of Chemistry, University of Science and Technology of China, Hefei, China; The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China; Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China; CAS Key Lab of Soft Matter Chemistry, University of Science and Technology of China, Hefei, China.
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Britt AS, Huang C, Huang CH. Hyperprogressive disease in non-small cell lung cancer treated with immune checkpoint inhibitor therapy, fact or myth? Front Oncol 2022; 12:996554. [DOI: 10.3389/fonc.2022.996554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 10/17/2022] [Indexed: 11/30/2022] Open
Abstract
The therapeutic landscape for patients with non-small cell lung cancer (NSCLC) has dramatically evolved with the development and adoption of immune checkpoint inhibitors (ICI) as front-line therapy. These novel antibodies target the interactions in immunoregulatory pathways, between programmed death-1 (PD-1) and programmed death ligand-1 (PD-L1), or cytotoxic T-lymphocyte antigen 4 (CTLA-4) and B7, resulting in the activation of T cells and cytotoxic response to induce an immunologic response. ICIs have demonstrated significant survival benefits and sustained responses in the treatment of NSCLC leading to the long-term survival of up to 5 year. One unusual response to ICI is a phenomenon termed Hyperprogressive Disease (HYD), which occurs in a subset of patients for whom ICI therapy can induce rapid disease growth, which ultimately leads to poorer outcomes with an incidence rate ranging from 5 to 37% in NSCLC patients. Prior reviews demonstrated that HYD can be defined by rapid tumor progression, deterioration of patient’s symptoms or new onset of disease. The mechanism of HYD could be related to genomic and tumor microenvironment changes and altered immune response. It will be important to establish a common definition of HYD for future research and clinical care.
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Systemic CD4 Immunity and PD-L1/PD-1 Blockade Immunotherapy. Int J Mol Sci 2022; 23:ijms232113241. [PMID: 36362027 PMCID: PMC9655397 DOI: 10.3390/ijms232113241] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
PD-L1/PD-1 blockade immunotherapy has changed the therapeutic approaches for the treatment of many cancers. Nevertheless, the mechanisms underlying its efficacy or treatment failure are still unclear. Proficient systemic immunity seems to be a prerequisite for efficacy, as recently shown in patients and in mouse models. It is widely accepted that expansion of anti-tumor CD8 T cell populations is principally responsible for anti-tumor responses. In contrast, the role of CD4 T cells has been less studied. Here we review and discuss the evidence supporting the contribution of CD4 T cells to anti-tumor immunity, especially recent advances linking CD4 T cell subsets to efficacious PD-L1/PD-1 blockade immunotherapy. We also discuss the role of CD4 T cell memory subsets present in peripheral blood before the start of immunotherapies, and their utility as predictors of response.
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Wang MX, Gao SY, Yang F, Fan RJ, Yang QN, Zhang TL, Qian NS, Dai GH. Hyperprogression under treatment with immune-checkpoint inhibitors in patients with gastrointestinal cancer: A natural process of advanced tumor progression? World J Clin Oncol 2022; 13:729-737. [PMID: 36212599 PMCID: PMC9537503 DOI: 10.5306/wjco.v13.i9.729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/26/2022] [Accepted: 09/12/2022] [Indexed: 02/06/2023] Open
Abstract
Immunotherapy has shown great promise in treating various types of malignant tumors. However, some patients with gastrointestinal cancer have been known to experience rapid disease progression after treatment, a situation referred to as hyperprogressive disease (HPD). This minireview focuses on the definitions and potential mechanisms of HPD, natural disease progression in gastrointestinal malignancies, and tumor immunological microenvironment.
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Affiliation(s)
- Mo-Xuan Wang
- Department of Oncology, Chinese PLA Medical School, Beijing 100853, China
| | - Shu-Yue Gao
- Department of Oncology, Chinese PLA Medical School, Beijing 100853, China
| | - Fan Yang
- Department of Oncology, Chinese PLA Medical School, Beijing 100853, China
| | - Run-Jia Fan
- Department of Oncology, Chinese PLA Medical School, Beijing 100853, China
| | - Qin-Na Yang
- Department of Oncology, Chinese PLA Medical School, Beijing 100853, China
| | - Tian-Lan Zhang
- Department of Oncology, Chinese PLA Medical School, Beijing 100853, China
| | - Nian-Song Qian
- Department of Oncology, Senior Department of Respiratory and Critical Care Medicine, The Eighth Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Guang-Hai Dai
- Department of Oncology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China
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Zhang C, Zhou L, Li S, Zhao J, Meng X, Ma L, Wang Y, Li C, Zheng L, Ming L. Obesity accelerates immune evasion of non-small cell lung carcinoma via TFEB-dependent upregulation of Siglec-15 and glycolytic reprogramming. Cancer Lett 2022; 550:215918. [PMID: 36150633 DOI: 10.1016/j.canlet.2022.215918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/26/2022] [Accepted: 09/09/2022] [Indexed: 11/02/2022]
Abstract
Although obesity contributes to tumor incidence and progression in various cancers, whether obesity impacts the tumor microenvironment (TME) of non-small cell lung cancer (NSCLC) remains largely under-explored. We generated NSCLC xenograft model in diet-induced obese mice and identified that TFEB is critical to accelerate obesity-related NSCLC progression with mimic intrinsic functions on tumor biology. Mechanically, TFEB binds directly to Siglec-15 promoter to upregulate Siglec-15 expression and binds to Hk2 and Ldha promoters to enhance glycolytic flux in NSCLC cells, which restrain the expansion and cytotoxic function of CD8+ T cells while maintain suppressive Treg cells in TME, jointly promoting immune evasion of NSCLC cells in obesity. Blocking tumor TFEB improves the therapeutic efficiency of anti-PD-1 in obese mice. Altogether, our data identify essential roles of TFEB in remodeling immunosuppressive TME and promoting NSCLC development in obesity, providing scientific rational for TFEB as a potential biomarker to predict immune checkpoint blockade efficiency in obese NSCLC patients.
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Affiliation(s)
- Cai Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Lijie Zhou
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Songyang Li
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Junwei Zhao
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Xianchun Meng
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Liwei Ma
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Yongfeng Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Cai Li
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Lu Zheng
- Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Liang Ming
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China.
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Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response. Signal Transduct Target Ther 2022; 7:331. [PMID: 36123348 PMCID: PMC9485144 DOI: 10.1038/s41392-022-01136-2] [Citation(s) in RCA: 116] [Impact Index Per Article: 58.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/25/2022] [Accepted: 07/25/2022] [Indexed: 02/05/2023] Open
Abstract
Cancers are highly complex diseases that are characterized by not only the overgrowth of malignant cells but also an altered immune response. The inhibition and reprogramming of the immune system play critical roles in tumor initiation and progression. Immunotherapy aims to reactivate antitumor immune cells and overcome the immune escape mechanisms of tumors. Represented by immune checkpoint blockade and adoptive cell transfer, tumor immunotherapy has seen tremendous success in the clinic, with the capability to induce long-term regression of some tumors that are refractory to all other treatments. Among them, immune checkpoint blocking therapy, represented by PD-1/PD-L1 inhibitors (nivolumab) and CTLA-4 inhibitors (ipilimumab), has shown encouraging therapeutic effects in the treatment of various malignant tumors, such as non-small cell lung cancer (NSCLC) and melanoma. In addition, with the advent of CAR-T, CAR-M and other novel immunotherapy methods, immunotherapy has entered a new era. At present, evidence indicates that the combination of multiple immunotherapy methods may be one way to improve the therapeutic effect. However, the overall clinical response rate of tumor immunotherapy still needs improvement, which warrants the development of novel therapeutic designs as well as the discovery of biomarkers that can guide the prescription of these agents. Learning from the past success and failure of both clinical and basic research is critical for the rational design of studies in the future. In this article, we describe the efforts to manipulate the immune system against cancer and discuss different targets and cell types that can be exploited to promote the antitumor immune response.
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Tang Q, Chen Y, Li X, Long S, Shi Y, Yu Y, Wu W, Han L, Wang S. The role of PD-1/PD-L1 and application of immune-checkpoint inhibitors in human cancers. Front Immunol 2022; 13:964442. [PMID: 36177034 PMCID: PMC9513184 DOI: 10.3389/fimmu.2022.964442] [Citation(s) in RCA: 110] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
Programmed cell death protein-1 (PD-1) is a checkpoint receptor expressed on the surface of various immune cells. PD-L1, the natural receptor for PD-1, is mainly expressed in tumor cells. Studies have indicated that PD-1 and PD-L1 are closely associated with the progression of human cancers and are promising biomarkers for cancer therapy. Moreover, the interaction of PD-1 and PD-L1 is one of the important mechanism by which human tumors generate immune escape. This article provides a review on the role of PD-L1/PD-1, mechanisms of immune response and resistance, as well as immune-related adverse events in the treatment of anti-PD-1/PD-L1 immunotherapy in human cancers. Moreover, we summarized a large number of clinical trials to successfully reveal that PD-1/PD-L1 Immune-checkpoint inhibitors have manifested promising therapeutic effects, which have been evaluated from different perspectives, including overall survival, objective effective rate and medium progression-free survival. Finally, we pointed out the current problems faced by PD-1/PD-L1 Immune-checkpoint inhibitors and its future prospects. Although PD-1/PD-L1 immune checkpoint inhibitors have been widely used in the treatment of human cancers, tough challenges still remain. Combination therapy and predictive models based on integrated biomarker determination theory may be the future directions for the application of PD-1/PD-L1 Immune-checkpoint inhibitors in treating human cancers.
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Affiliation(s)
- Qing Tang
- Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Clinical and Basic Research Team of Traditional Chinese Medicine (TCM) Prevention and Treatment of Non small cell lung cancer (NSCLC), Department of Oncology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yun Chen
- Department of Organ Transplantation, Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaojuan Li
- Institute of Rehabilitation Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shunqin Long
- Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Clinical and Basic Research Team of Traditional Chinese Medicine (TCM) Prevention and Treatment of Non small cell lung cancer (NSCLC), Department of Oncology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yao Shi
- Department of Cerebrovascular Disease, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yaya Yu
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Wanyin Wu
- Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Clinical and Basic Research Team of Traditional Chinese Medicine (TCM) Prevention and Treatment of Non small cell lung cancer (NSCLC), Department of Oncology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Wanyin Wu, ; Ling Han, ; Sumei Wang,
| | - Ling Han
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Wanyin Wu, ; Ling Han, ; Sumei Wang,
| | - Sumei Wang
- Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Clinical and Basic Research Team of Traditional Chinese Medicine (TCM) Prevention and Treatment of Non small cell lung cancer (NSCLC), Department of Oncology, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou, China
- *Correspondence: Wanyin Wu, ; Ling Han, ; Sumei Wang,
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Wang M, Huang H, Xu Z, Li Z, Shen L, Yu Y, Lu S. Proposal for multiple new lesions as complement of hyperprogressive disease in NSCLC patients treated with PD-1/PD-L1 immunotherapy. Lung Cancer 2022; 173:28-34. [PMID: 36116167 DOI: 10.1016/j.lungcan.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/28/2022] [Accepted: 09/01/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Hyperprogressive disease (HPD) is a progression pattern of rapid increase in tumor burden during immunotherapy. However, current HPD definitions are mainly based on the diameter of target lesions. How to take new lesions into account remains unknown. METHODS In this retrospectively analysis, 393 patients received PD-1/PD-L1 inhibitors monotherapy. 237 patients were eligible for HPD evaluation based on tumor growth rate (TGR) ratio, ΔTGR or tumor growth kinetic (TGK) ratio. Among them, 214 patients were eligible for evaluation of new lesions. The impact of new lesions on overall survival (OS) was investigated by Kaplan-Meier methods. The optimal threshold for new lesion number was investigated by one-year time-dependent receiver operating characteristic (ROC) curves. Developing more than one new lesions (n ≥ 2) was defined as multiple new lesions (MNL). New HPD was redefined as both developing MNL and meeting the requirement of current HPD definitions (TGR ratio, ΔTGR or TGK ratio). The survival difference between the newly defined HPD and non-HPD patients was investigated. RESULTS HPD occurred in 5.1-18.1 % patient based on current definitions (TGR ratio, 15.6 %; ΔTGR, 5.1 %; TGK ratio, 18.1 %). However, there is no significant difference between OS of HPD and non-HPD patient. New lesion was associated with a shorter median OS in PD(with or without HPD) patients (6.1 vs 18.9 months, p = 0.001). Time-dependent ROC analysis suggested that the optimal threshold for new lesion number in survival prediction was two. After the redefinition of HPD, New HPD patients had a significantly shorter median OS compared with non-HPD patients (TGR ratio with MNL: 5.6 vs 11.8 months, p < 0.001; ΔTGR with MNL: 5.0 vs 11.4 months, p = 0.034; TGK ratio with MNL: 5.7 vs 12.3 months, p < 0.001; respectively). CONCLUSIONS Current HPD definitions had a better prognostic value when complemented with MNL. MNL should be integrated into the new definition of HPD.
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Affiliation(s)
- Mengxiao Wang
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Huayan Huang
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Zhangwendi Xu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Ziming Li
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Lan Shen
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Yongfeng Yu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Shun Lu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
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