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Monge C, Xie C, Myojin Y, Coffman‐D'Annibale KL, Hrones D, Brar G, Wang S, Budhu A, Figg WD, Cam M, Finney R, Levy EB, Kleiner DE, Steinberg SM, Wang XW, Redd B, Wood BJ, Greten TF. Combined immune checkpoint inhibition with durvalumab and tremelimumab with and without radiofrequency ablation in patients with advanced biliary tract carcinoma. Cancer Med 2024; 13:e6912. [PMID: 38205877 PMCID: PMC10904979 DOI: 10.1002/cam4.6912] [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: 08/28/2023] [Revised: 11/22/2023] [Accepted: 12/16/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Current standard of care for advanced biliary tract cancer (BTC) is gemcitabine, cisplatin plus anti-PD1/PD-L1, but response rates are modest. The purpose of this study was to explore the efficacy and safety of durvalumab (anti-PD-L1) and tremelimumab (anti-CTLA-4), with and without an interventional radiology (IR) procedure in advanced BTC. METHODS Eligible patients with advanced BTC who had received or refused at least one prior line of systemic therapy were treated with tremelimumab and durvalumab for four combined doses followed by monthly durvalumab alone with and without an IR procedure until the progression of disease or unacceptable toxicity. Objective response was assessed through CT or MRI by Response Evaluation Criteria in Solid Tumors (RECIST, version 1.1) every 8 weeks. Adverse events (AEs) were recorded and managed. The primary endpoint was 6-month progression-free survival (PFS). RESULTS Twenty-three patients with advanced BTC were enrolled; 17 patients were assigned to treatment with durvalumab and tremelimumab (Durva/Treme); and 6 patients were treated with the combination of durvalumab, tremelimumab plus IR procedure (Durva/Treme + IR). The best clinical responses in the Durva/Treme arm were partial response (n = 1), stable disease (n = 5), progressive disease (n = 5), and in the Durva/Treme + IR arm: partial response (n = 0), stable disease (n = 3), progressive disease (n = 3). The median PFS was 2.2 months (95% CI: 1.3-3.1 months) in the Durva/Treme arm and 2.9 months (95% CI: 1.9-4.7 months) in the Durva/Treme + IR arm (p = 0.27). The median OS was 5.1 months (95% CI: 2.5-6.9 months) in the Durva/Treme arm and 5.8 months (95% CI: 2.9-40.1 months) in the Durva/Treme + IR arm (p = 0.31). The majority of AEs were grades 1-2. CONCLUSION Durva/Treme and Durva/Treme + IR showed similar efficacy. With a manageable safety profile. Larger studies are needed to fully characterize the efficacy of Durva/Treme ± IR in advanced BTC.
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Affiliation(s)
- Cecilia Monge
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Changqing Xie
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Yuta Myojin
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Kelley L. Coffman‐D'Annibale
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Donna Hrones
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Gagandeep Brar
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Sophie Wang
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Anuradha Budhu
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
- Liver Cancer Program, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - William D. Figg
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Maggie Cam
- Center for Collaborative Bioinformatics, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Richard Finney
- Center for Collaborative Bioinformatics, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Elliot B. Levy
- Center for Interventional Oncology, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - David E. Kleiner
- Laboratory of Pathology, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Seth M. Steinberg
- Biostatistics and Data Management Section, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
- Liver Cancer Program, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Bernadette Redd
- Radiology and Imaging Sciences, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Bradford J. Wood
- Center for Collaborative Bioinformatics, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Tim F. Greten
- Gastrointestinal Malignancies Section, Thoracic and GI Malignancies Branch, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
- Liver Cancer Program, Center for Cancer Research, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
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Wen S, Chen Y, Hu C, Du X, Xia J, Wang X, Zhu W, Wang Q, Zhu M, Chen Y, Shen B. Combination of Tertiary Lymphoid Structure and Neutrophil-to-Lymphocyte Ratio Predicts Survival in Patients With Hepatocellular Carcinoma. Front Immunol 2022; 12:788640. [PMID: 35095864 PMCID: PMC8793028 DOI: 10.3389/fimmu.2021.788640] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
Background Hepatocellular carcinoma (HCC) is the most common pathological type of primary liver cancer. The lack of prognosis indicators is one of the challenges in HCC. In this study, we investigated the combination of tertiary lymphoid structure (TLS) and several systemic inflammation parameters as a prognosis indicator for HCC. Materials and Methods We retrospectively recruited 126 postoperative patients with primary HCC. The paraffin section was collected for TLS density assessment. In addition, we collected the systemic inflammation parameters from peripheral blood samples. We evaluated the prognostic values of those parameters on overall survival (OS) using Kaplan-Meier curves, univariate and multivariate Cox regression. Last, we plotted a nomogram to predict the survival of HCC patients. Results We first found TLS density was positively correlated with HCC patients’ survival (HR=0.16, 95% CI: 0.06 − 0.39, p < 0.0001), but the power of TLS density for survival prediction was found to be limited (AUC=0.776, 95% CI:0.772 − 0.806). Thus, we further introduced several systemic inflammation parameters for survival analysis, we found neutrophil-to-lymphocyte ratio (NLR) was positively associated with OS in univariate Cox regression analysis. However, the combination of TLS density and NLR better predicts patient’s survival (AUC=0.800, 95% CI: 0.698-0.902, p < 0.001) compared with using any single indicator alone. Last, we incorporated TLS density, NLR, and other parameters into the nomogram to provide a reproducible approach for survival prediction in HCC clinical practice. Conclusion The combination of TLS density and NLR was shown to be a good predictor of HCC patient survival. It also provides a novel direction for the evaluation of immunotherapies in HCC.
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Affiliation(s)
- Shaodi Wen
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Yuzhong Chen
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Chupeng Hu
- Key Laboratory of Microenvironment and Major Diseases, Department of Immunology, Nanjing Medical University, Nanjing, China
| | - Xiaoyue Du
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Jingwei Xia
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Xin Wang
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Wei Zhu
- School of Medicine, Jiangsu University, Zhenjiang, China
| | - Qingbo Wang
- Department of Chemotherapy, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Miaolin Zhu
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Yun Chen
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.,Key Laboratory of Microenvironment and Major Diseases, Department of Immunology, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Bo Shen
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
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Ganjalikhani Hakemi M, Jafarinia M, Azizi M, Rezaeepoor M, Isayev O, Bazhin AV. The Role of TIM-3 in Hepatocellular Carcinoma: A Promising Target for Immunotherapy? Front Oncol 2020; 10:601661. [PMID: 33425759 PMCID: PMC7793963 DOI: 10.3389/fonc.2020.601661] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/26/2020] [Indexed: 02/05/2023] Open
Abstract
One of the most common tumors in the world is hepatocellular carcinoma (HCC), and its mortality rates are still on the rise, so addressing it is considered an important challenge for universal health. Despite the various treatments that have been developed over the past decades, the prognosis for advanced liver cancer is still poor. Recently, tumor immunotherapy has opened new opportunities for suppression of tumor progression, recurrence, and metastasis. Besides this, investigation into this malignancy due to high immune checkpoint expression and the change of immunometabolic programming in immune cells and tumor cells is highly considered. Because anti-cytotoxic T lymphocyte–associated protein (CTLA)-4 antibodies and anti-programmed cell death protein (PD)-1 antibodies have shown therapeutic effects in various cancers, studies have shown that T cell immunoglobulin mucin-3 (TIM-3), a new immune checkpoint molecule, plays an important role in the development of HCC. In this review, we summarize the recent findings on signal transduction events of TIM-3, its role as a checkpoint target for HCC therapy, and the immunometabolic situation in the progression of HCC.
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Affiliation(s)
| | - Morteza Jafarinia
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahdieh Azizi
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahsa Rezaeepoor
- Department of Immunology, School of Medicine, Hamedan University of Medical Sciences, Hamedan, Iran
| | - Orkhan Isayev
- Department of Cytology, Embryology and Histology, Azerbaijan Medical University, Baku, Azerbaijan.,Genetic Resources Institute, Azerbaijan National Academy of Scince, Baku, Azerbaijan
| | - Alexandr V Bazhin
- Department of General, Visceral and Transplant Surgery, Ludwig-Maximilians University of Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
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