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Huang AL, He YZ, Yang Y, Pang M, Zheng GP, Wang HL. Exploring the potential of the TCR repertoire as a tumor biomarker (Review). Oncol Lett 2024; 28:413. [PMID: 38988449 PMCID: PMC11234811 DOI: 10.3892/ol.2024.14546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 06/14/2024] [Indexed: 07/12/2024] Open
Abstract
T cells play an important role in adaptive immunity. Mature T cells specifically recognize antigens on major histocompatibility complex molecules through T-cell receptors (TCRs). As the TCR repertoire is highly diverse, its analysis is vital in the assessment of T cells. Advances in sequencing technology have provided convenient methods for further investigation of the TCR repertoire. In the present review, the TCR structure and the mechanisms by which TCRs function in tumor recognition are described. In addition, the potential value of the TCR repertoire in tumor diagnosis is reviewed. Furthermore, the role of the TCR repertoire in tumor immunotherapy is introduced, and the relationships between the TCR repertoire and the effects of different tumor immunotherapies are discussed. Based on the reviewed literature, it may be concluded that the TCR repertoire has the potential to serve as a biomarker for tumor prognosis. However, a wider range of cancer types and more diverse subjects require evaluation in future research to establish the TCR repertoire as a biomarker of tumor immunity.
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Affiliation(s)
- An-Li Huang
- Institute of Cancer Biology, Basic Medical Sciences Center, School of Basic Medicine, Shanxi Medical University, Jinzhong, Shanxi 030600, P.R. China
- The First Clinical Medical College, Shanxi Medical University, Jinzhong, Shanxi 030600, P.R. China
| | - Yan-Zhao He
- Institute of Cancer Biology, Basic Medical Sciences Center, School of Basic Medicine, Shanxi Medical University, Jinzhong, Shanxi 030600, P.R. China
| | - Yong Yang
- Institute of Cancer Biology, Basic Medical Sciences Center, School of Basic Medicine, Shanxi Medical University, Jinzhong, Shanxi 030600, P.R. China
| | - Min Pang
- NHC Key Laboratory of Pneumoconiosis, Shanxi Province Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, The First Hospital, Shanxi Medical University, Taiyuan, Shanxi 030001, P.R. China
| | - Guo-Ping Zheng
- Centre for Transplantation and Renal Research, Westmead Millennium Institute, University of Sydney, Sydney, New South Wales 2145, Australia
| | - Hai-Long Wang
- Institute of Cancer Biology, Basic Medical Sciences Center, School of Basic Medicine, Shanxi Medical University, Jinzhong, Shanxi 030600, P.R. China
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2
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Yu X, Pan M, Ye J, Hathaway CA, Tworoger SS, Lea J, Li B. Quantifiable TCR repertoire changes in prediagnostic blood specimens among patients with high-grade ovarian cancer. Cell Rep Med 2024; 5:101612. [PMID: 38878776 PMCID: PMC11293308 DOI: 10.1016/j.xcrm.2024.101612] [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: 12/18/2023] [Revised: 04/16/2024] [Accepted: 05/20/2024] [Indexed: 06/25/2024]
Abstract
High-grade ovarian cancer (HGOC) is a major cause of death in women. Early detection of HGOC usually leads to a cure, yet it remains a clinical challenge with over 90% HGOCs diagnosed at advanced stages. This is mainly because conventional biomarkers are not sensitive enough to detect the microscopic yet metastatic early lesions. In this study, we sequence the blood T cell receptor (TCR) repertoires of 466 patients with ovarian cancer and controls and systematically investigate the immune repertoire signatures in HGOCs. We observe quantifiable changes of selected TCRs in HGOCs that are reproducible in multiple independent cohorts. Importantly, these changes are stronger during stage I. Using pre-diagnostic patient blood samples from the Nurses' Health Study, we confirm that HGOC signals can be detected in the blood TCR repertoire up to 4 years preceding conventional diagnosis. Our findings may provide the basis for future immune-based HGOC early detection criteria.
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Affiliation(s)
- Xuexin Yu
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mingyao Pan
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jianfeng Ye
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | | | - Shelley S Tworoger
- Knight Cancer Institute and Division of Oncological Sciences, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jayanthi Lea
- Department of Gynecology, UT Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Bo Li
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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3
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Li M, Hua X, Li S, Wu MC, Zhao N. A multi-bin rarefying method for evaluating alpha diversities in TCR sequencing data. Bioinformatics 2024; 40:btae431. [PMID: 38950175 PMCID: PMC11246167 DOI: 10.1093/bioinformatics/btae431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 05/17/2024] [Accepted: 06/28/2024] [Indexed: 07/03/2024] Open
Abstract
MOTIVATION T cell receptors (TCRs) constitute a major component of our adaptive immune system, governing the recognition and response to internal and external antigens. Studying the TCR diversity via sequencing technology is critical for a deeper understanding of immune dynamics. However, library sizes differ substantially across samples, hindering the accurate estimation/comparisons of alpha diversities. To address this, researchers frequently use an overall rarefying approach in which all samples are sub-sampled to an even depth. Despite its pervasive application, its efficacy has never been rigorously assessed. RESULTS In this paper, we develop an innovative "multi-bin" rarefying approach that partitions samples into multiple bins according to their library sizes, conducts rarefying within each bin for alpha diversity calculations, and performs meta-analysis across bins. Extensive simulations using real-world data highlight the inadequacy of the overall rarefying approach in controlling the confounding effect of library size. Our method proves robust in addressing library size confounding, outperforming competing normalization strategies by achieving better-controlled type-I error rates and enhanced statistical power in association tests. AVAILABILITY AND IMPLEMENTATION The code is available at https://github.com/mli171/MultibinAlpha. The datasets are freely available at https://doi.org/10.21417/B7001Z and https://doi.org/10.21417/AR2019NC.
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Affiliation(s)
- Mo Li
- Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA, 70504, United States
| | - Xing Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, United States
| | - Shuai Li
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, 21205, United States
| | - Michael C Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, United States
| | - Ni Zhao
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, 21205, United States
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4
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Roshan-Zamir M, Khademolhosseini A, Rajalingam K, Ghaderi A, Rajalingam R. The genomic landscape of the immune system in lung cancer: present insights and continuing investigations. Front Genet 2024; 15:1414487. [PMID: 38983267 PMCID: PMC11231382 DOI: 10.3389/fgene.2024.1414487] [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: 04/09/2024] [Accepted: 06/07/2024] [Indexed: 07/11/2024] Open
Abstract
Lung cancer is one of the most prevalent malignancies worldwide, contributing to over a million cancer-related deaths annually. Despite extensive research investigating the genetic factors associated with lung cancer susceptibility and prognosis, few studies have explored genetic predispositions regarding the immune system. This review discusses the most recent genomic findings related to the susceptibility to or protection against lung cancer, patient survival, and therapeutic responses. The results demonstrated the effect of immunogenetic variations in immune system-related genes associated with innate and adaptive immune responses, cytokine, and chemokine secretions, and signaling pathways. These genetic diversities may affect the crosstalk between tumor and immune cells within the tumor microenvironment, influencing cancer progression, invasion, and prognosis. Given the considerable variability in the individual immunegenomics profiles, future studies should prioritize large-scale analyses to identify potential genetic variations associated with lung cancer using highthroughput technologies across different populations. This approach will provide further information for predicting response to targeted therapy and promotes the development of new measures for individualized cancer treatment.
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Affiliation(s)
- Mina Roshan-Zamir
- School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Aida Khademolhosseini
- School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Kavi Rajalingam
- Cowell College, University of California, Santa Cruz, Santa Cruz, CA, United States
| | - Abbas Ghaderi
- School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Raja Rajalingam
- Immunogenetics and Transplantation Laboratory, University of California San Francisco, San Francisco, CA, United States
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5
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Zhao L, Ren Y, Zhang G, Zheng K, Wang J, Sha H, Zhao M, Huang R, Kang D, Su X, Wu Y, Zhang W, Lai R, Li L, Mei R, Wang Y, Tian Y, Wang F, Liu B, Zou Z. Single-arm study of camrelizumab plus apatinib for patients with advanced mucosal melanoma. J Immunother Cancer 2024; 12:e008611. [PMID: 38908858 DOI: 10.1136/jitc-2023-008611] [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] [Accepted: 03/29/2024] [Indexed: 06/24/2024] Open
Abstract
BACKGROUND Previous studies have suggested the potential synergistic antitumor activity when combining immune checkpoint inhibitors with anti-angiogenic agents in various solid tumors. We aimed to assess the efficacy and safety of camrelizumab (a humanized programmed cell death-1 antibody) plus apatinib (a vascular endothelial growth factor receptor tyrosine kinase inhibitor) for patients with advanced mucosal melanoma (MM), and explore-related biomarkers. METHODS We conducted a single-center, open-label, single-arm, phase II study. Patients with unresectable or recurrent/metastatic MM received camrelizumab and apatinib. The primary endpoint was the confirmed objective response rate (ORR). RESULTS Between April 2019 and June 2022, 32 patients were enrolled, with 50.0% previously received systemic therapy. Among 28 patients with evaluable response, the confirmed ORR was 42.9%, the disease control rate was 82.1%, and the median progression-free survival (PFS) was 8.05 months. The confirmed ORR was 42.9% (6/14) in both treatment-naïve and previously treated patients. Notably, treatment-naïve patients had a median PFS of 11.89 months, and those with prior treatment had a median PFS of 6.47 months. Grade 3 treatment-related adverse events were transaminase elevation, rash, hyperbilirubinemia, proteinuria, hypertension, thrombocytopenia, hand-foot syndrome and diarrhea. No treatment-related deaths were observed. Higher tumor mutation burden (TMB), increased T-cell receptor (TCR) diversity, and altered receptor tyrosine kinase (RTK)/RAS pathway correlated with better tumor response. CONCLUSION Camrelizumab plus apatinib provided promising antitumor activity with acceptable toxicity in patients with advanced MM. TMB, TCR diversity and RTK/RAS pathway genes were identified as potential predictive biomarkers and warrant further validation. TRIAL REGISTRATION NUMBER Chinese Clinical Trial Registry, ChiCTR1900023277.
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Affiliation(s)
- Lianjun Zhao
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Clinical Cancer Institute of Nanjing University, Nanjing, China
| | - Yu Ren
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Clinical Cancer Institute of Nanjing University, Nanjing, China
| | - Guiying Zhang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Kelin Zheng
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Jiayu Wang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Huizi Sha
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Clinical Cancer Institute of Nanjing University, Nanjing, China
| | - Mengke Zhao
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Rong Huang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Donglin Kang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Xinyu Su
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yirong Wu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Wangling Zhang
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Ruihe Lai
- Department of Nuclear Medicine of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Lin Li
- Department of Pathology of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Rui Mei
- Jiangsu Hengrui Pharmaceuticals Co., Ltd, Shanghai, China
| | - Yitao Wang
- Jiangsu Hengrui Pharmaceuticals Co., Ltd, Shanghai, China
| | - You Tian
- Jiangsu Hengrui Pharmaceuticals Co., Ltd, Shanghai, China
| | - Fufeng Wang
- Geneseeq Research institute, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Baorui Liu
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Clinical Cancer Institute of Nanjing University, Nanjing, China
| | - Zhengyun Zou
- The Comprehensive Cancer Center of Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Clinical Cancer Institute of Nanjing University, Nanjing, China
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6
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Farhat-Younis L, Na M, Zarfin A, Khateeb A, Santana-Magal N, Richter A, Gutwillig A, Rasoulouniriana D, Gleiberman A, Beck L, Giger T, Ashkenazi A, Barzel A, Rider P, Carmi Y. Expression of modified FcγRI enables myeloid cells to elicit robust tumor-specific cytotoxicity. eLife 2024; 12:RP91999. [PMID: 38885133 PMCID: PMC11182644 DOI: 10.7554/elife.91999] [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] [Indexed: 06/20/2024] Open
Abstract
Despite the central role of T cells in tumor immunity, attempts to harness their cytotoxic capacity as a therapy have met limited efficacy, partially as a result of the suppressive microenvironment which limits their migration and activation. In contrast, myeloid cells massively infiltrate tumors and are well adapted to survive these harsh conditions. While they are equipped with cell-killing abilities, they often adopt an immunosuppressive phenotype upon migration to tumors. Therefore, the questions of how to modify their activation programming against cancer, and what signaling cascades should be activated in myeloid cells to elicit their cytotoxicity have remained unclear. Here, we found that activation of IgM-induced signaling in murine myeloid cells results in secretion of lytic granules and massive tumor cell death. These findings open venues for designing novel immunotherapy by equipping monocytes with chimeric receptors that target tumor antigens and consequently, signal through IgM receptor. Nonetheless, we found that myeloid cells do not express the antibody-derived portion used to recognize the tumor antigen due to the induction of an ER stress response. To overcome this limitation, we designed chimeric receptors that are based on the high-affinity FcγRI for IgG. Incubation of macrophages expressing these receptors along with tumor-binding IgG induced massive tumor cell killing and secretion of reactive oxygen species and Granzyme B. Overall, this work highlights the challenges involved in genetically reprogramming the signaling in myeloid cells and provides a framework for endowing myeloid cells with antigen-specific cytotoxicity.
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Affiliation(s)
- Leen Farhat-Younis
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | - Manho Na
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | - Amichai Zarfin
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | - Aseel Khateeb
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | | | - Alon Richter
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | - Amit Gutwillig
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | | | - Annette Gleiberman
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | - Lir Beck
- Department of Human Molecular Genetics and Biochemistry, Tel Aviv UniversityTel AvivIsrael
| | - Tamar Giger
- Department of Molecular Cell Biology, Weizmann InstituteRehovotIsrael
| | - Avraham Ashkenazi
- Department of Cell and Developmental Biology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | - Adi Barzel
- Department of Biochemistry Molecular Biology, George S. Wise Faculty of Life Sciences, Tel Aviv UniversityTel AvivIsrael
| | - Peleg Rider
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
| | - Yaron Carmi
- Department of Pathology, School of Medicine, Tel Aviv UniversityTel AvivIsrael
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7
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Berland L, Gabr Z, Chang M, Ilié M, Hofman V, Rignol G, Ghiringhelli F, Mograbi B, Rashidian M, Hofman P. Further knowledge and developments in resistance mechanisms to immune checkpoint inhibitors. Front Immunol 2024; 15:1384121. [PMID: 38903504 PMCID: PMC11188684 DOI: 10.3389/fimmu.2024.1384121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024] Open
Abstract
The past decade has witnessed a revolution in cancer treatment, shifting from conventional drugs (chemotherapies) towards targeted molecular therapies and immune-based therapies, in particular immune-checkpoint inhibitors (ICIs). These immunotherapies release the host's immune system against the tumor and have shown unprecedented durable remission for patients with cancers that were thought incurable, such as metastatic melanoma, metastatic renal cell carcinoma (RCC), microsatellite instability (MSI) high colorectal cancer and late stages of non-small cell lung cancer (NSCLC). However, about 80% of the patients fail to respond to these immunotherapies and are therefore left with other less effective and potentially toxic treatments. Identifying and understanding the mechanisms that enable cancerous cells to adapt to and eventually overcome therapy can help circumvent resistance and improve treatment. In this review, we describe the recent discoveries on the onco-immunological processes which govern the tumor microenvironment and their impact on the resistance to PD-1/PD-L1 checkpoint blockade.
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Affiliation(s)
- Léa Berland
- Inserm U1081 Institute for Research on Cancer and Aging, Nice (IRCAN) Team 4, Université Côte d’Azur, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Nice, France
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Zeina Gabr
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States
- School of Life Science, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
| | - Michelle Chang
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Marius Ilié
- Inserm U1081 Institute for Research on Cancer and Aging, Nice (IRCAN) Team 4, Université Côte d’Azur, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Nice, France
- Laboratory of Clinical and Experimental Pathology, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Pasteur Hospital, Université Côte d’Azur, Nice, France
- Institut Hospitalo Universitaire (IHU) RespirERA, Nice, France
- Hospital-Integrated Biobank (BB-0033–00025), Pasteur Hospital, Nice, France
| | - Véronique Hofman
- Inserm U1081 Institute for Research on Cancer and Aging, Nice (IRCAN) Team 4, Université Côte d’Azur, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Nice, France
- Laboratory of Clinical and Experimental Pathology, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Pasteur Hospital, Université Côte d’Azur, Nice, France
- Institut Hospitalo Universitaire (IHU) RespirERA, Nice, France
- Hospital-Integrated Biobank (BB-0033–00025), Pasteur Hospital, Nice, France
| | - Guylène Rignol
- Inserm U1081 Institute for Research on Cancer and Aging, Nice (IRCAN) Team 4, Université Côte d’Azur, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Nice, France
- Laboratory of Clinical and Experimental Pathology, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Pasteur Hospital, Université Côte d’Azur, Nice, France
- Institut Hospitalo Universitaire (IHU) RespirERA, Nice, France
| | - François Ghiringhelli
- Institut Hospitalo Universitaire (IHU) RespirERA, Nice, France
- Department of Biology and Pathology of Tumors, Georges-Francois Leclerc Cancer Center-UNICANCER, Dijon, France
| | - Baharia Mograbi
- Inserm U1081 Institute for Research on Cancer and Aging, Nice (IRCAN) Team 4, Université Côte d’Azur, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Nice, France
- Institut Hospitalo Universitaire (IHU) RespirERA, Nice, France
| | - Mohamad Rashidian
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States
| | - Paul Hofman
- Inserm U1081 Institute for Research on Cancer and Aging, Nice (IRCAN) Team 4, Université Côte d’Azur, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Nice, France
- Laboratory of Clinical and Experimental Pathology, Institut Hospitalo Universitaire (IHU) RespirERA, Federation Hospitalo Universitaire (FHU) OncoAge, Pasteur Hospital, Université Côte d’Azur, Nice, France
- Institut Hospitalo Universitaire (IHU) RespirERA, Nice, France
- Hospital-Integrated Biobank (BB-0033–00025), Pasteur Hospital, Nice, France
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8
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Cai Y, Luo M, Yang W, Xu C, Wang P, Xue G, Jin X, Cheng R, Que J, Zhou W, Pang B, Xu S, Li Y, Jiang Q, Xu Z. The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood. Cancer Res 2024; 84:1915-1928. [PMID: 38536129 DOI: 10.1158/0008-5472.can-23-0860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 07/20/2023] [Accepted: 03/19/2024] [Indexed: 06/05/2024]
Abstract
T cells recognize tumor antigens and initiate an anticancer immune response in the very early stages of tumor development, and the antigen specificity of T cells is determined by the T-cell receptor (TCR). Therefore, monitoring changes in the TCR repertoire in peripheral blood may offer a strategy to detect various cancers at a relatively early stage. Here, we developed the deep learning framework iCanTCR to identify patients with cancer based on the TCR repertoire. The iCanTCR framework uses TCRβ sequences from an individual as an input and outputs the predicted cancer probability. The model was trained on over 2,000 publicly available TCR repertoires from 11 types of cancer and healthy controls. Analysis of several additional publicly available datasets validated the ability of iCanTCR to distinguish patients with cancer from noncancer individuals and demonstrated the capability of iCanTCR for the accurate classification of multiple cancers. Importantly, iCanTCR precisely identified individuals with early-stage cancer with an AUC of 86%. Altogether, this work provides a liquid biopsy approach to capture immune signals from peripheral blood for noninvasive cancer diagnosis. SIGNIFICANCE Development of a deep learning-based method for multicancer detection using the TCR repertoire in the peripheral blood establishes the potential of evaluating circulating immune signals for noninvasive early cancer detection.
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Affiliation(s)
- Yideng Cai
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Meng Luo
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Wenyi Yang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Chang Xu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Pingping Wang
- School for Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, China
| | - Guangfu Xue
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Xiyun Jin
- School for Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, China
| | - Rui Cheng
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Jinhao Que
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Wenyang Zhou
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Boran Pang
- Center for Difficult and Complicated Abdominal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shouping Xu
- Department of Breast Cancer, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yu Li
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
- School for Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, China
| | - Zhaochun Xu
- School for Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, China
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9
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Yang P, He S, Ye L, Weng H. Transcription Factor ETV4 Activates AURKA to Promote PD-L1 Expression and Mediate Immune Escape in Lung Adenocarcinoma. Int Arch Allergy Immunol 2024:1-11. [PMID: 38781935 DOI: 10.1159/000537754] [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: 12/15/2023] [Accepted: 01/05/2024] [Indexed: 05/25/2024] Open
Abstract
INTRODUCTION The occurrence and progression of lung adenocarcinoma (LUAD) impair T-cell immune responses, causing immune escape and subsequently affecting the efficacy of immunotherapy in patients. Aurora kinase A (AURKA) is upregulated in varying cancers, but its role in LUAD immune escape is elusive. This work attempted to explore molecular mechanisms of AURKA regulation in LUAD immune escape. METHODS Through bioinformatics analysis, AURKA level in LUAD was evaluated, and potential upstream transcription factors of AURKA were predicted using hTFtarget. ETS variant transcription factor 4 (ETV4) expression in LUAD was analyzed through The Cancer Genome Atlas. Pearson's correlation analysis was then utilized to test the correlation between AURKA and ETV4. Interaction and binding between AURKA and ETV4 were validated through dual-luciferase assay and chromatin immunoprecipitation. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) tested relative mRNA expression of AURKA and ETV4 in LUAD cells, cell counting kit-8 assayed cell viability, and Western blot analysis was conducted to determine the protein level of programmed death-ligand 1 (PD-L1). Coculture of LUAD cells with activated CD8+ T cells was carried out, and an LDH assay was used to assess the cytotoxicity of CD8+ T cells against LUAD cells. Interferon-γ (IFN-γ), interleukin-2 (IL-2), and tumor necrosis factor-α (TNF-α) levels in the coculture system were assessed by enzyme-linked immunosorbent assay (ELISA). Western blot assessed protein levels of JAK2, p-JAK2, STAT3, and p-STAT3. RESULTS Compared to normal tissues, AURKA and ETV4 were upregulated in tumor tissues, and AURKA presented a negative association with CD8+ T-cell immune infiltration but a positive association with PD-L1. qRT-PCR unveiled significantly upregulated mRNA of AURKA and ETV4 in LUAD cells compared to normal lung epithelial cells. Knockdown of AURKA significantly decreased cell viability and PD-L1 protein level in LUAD cells, enhanced cytotoxicity of CD8+ T cells against LUAD cells and IFN-γ, IL-2, and TNF-α expression, while overexpression of AURKA yielded opposite results. Furthermore, the knockdown of ETV4 could reverse the oncogenic characteristics of cells caused by AURKA overexpression. CONCLUSION Our study illustrated that ETV4/AURKA axis promoted PD-L1 expression, suppressed CD8+ T-cell activity, and mediated immune escape in LUAD by regulating the JAK2/STAT3 signaling pathway.
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Affiliation(s)
- Ping Yang
- Department of Respiratory and Critical Care Medicine, People's Hospital of Fujian Province, Fuzhou, China
| | - Shangxiang He
- Department of Medical Oncology, Shanghai Artemed Hospital, Shanghai, China
| | - Ling Ye
- Department of Respiratory and Critical Care Medicine, People's Hospital of Fujian Province, Fuzhou, China
| | - Heng Weng
- Department of Respiratory and Critical Care Medicine, People's Hospital of Fujian Province, Fuzhou, China
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10
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Chen F, Li J, Li L, Tong L, Wang G, Zou X. Multidimensional biological characteristics of ground glass nodules. Front Oncol 2024; 14:1380527. [PMID: 38841161 PMCID: PMC11150621 DOI: 10.3389/fonc.2024.1380527] [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: 02/01/2024] [Accepted: 05/07/2024] [Indexed: 06/07/2024] Open
Abstract
The detection rate of ground glass nodules (GGNs) has increased in recent years because of their malignant potential but relatively indolent biological behavior; thus, correct GGN recognition and management has become a research focus. Many scholars have explored the underlying mechanism of the indolent progression of GGNs from several perspectives, such as pathological type, genomic mutational characteristics, and immune microenvironment. GGNs have different major mutated genes at different stages of development; EGFR mutation is the most common mutation in GGNs, and p53 mutation is the most abundant mutation in the invasive stage of GGNs. Pure GGNs have fewer genomic alterations and a simpler genomic profile and exhibit a gradually evolving genomic mutation profile as the pathology progresses. Compared to advanced lung adenocarcinoma, GGN lung adenocarcinoma has a higher immune cell percentage, is under immune surveillance, and has less immune escape. However, as the pathological progression and solid component increase, negative immune regulation and immune escape increase gradually, and a suppressive immune environment is established gradually. Currently, regular computer tomography monitoring and surgery are the main treatment strategies for persistent GGNs. Stereotactic body radiotherapy and radiofrequency ablation are two local therapeutic alternatives, and systemic therapy has been progressively studied for lung cancer with GGNs. In the present review, we discuss the characterization of the multidimensional molecular evolution of GGNs that could facilitate more precise differentiation of such highly heterogeneous lesions, laying a foundation for the development of more effective individualized treatment plans.
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Affiliation(s)
- Furong Chen
- Department of Oncology, The First People’s Hospital of Shuangliu District/West China (Airport) Hospital, Sichuan University, Chengdu, China
| | - Jiangtao Li
- Department of Oncology, The First People’s Hospital of Shuangliu District/West China (Airport) Hospital, Sichuan University, Chengdu, China
| | - Lei Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
- Department of State Key Laboratory of Respiratory Health and Multimobidity, West China Hospital, Sichuan University, Chengdu, China
| | - Lunbing Tong
- Department of Respiratory Medicine, Chengdu Seventh People’s Hospital/Affiliated Cancer Hospital of Chengdu Medical College, Chengdu, China
| | - Gang Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
- Department of State Key Laboratory of Respiratory Health and Multimobidity, West China Hospital, Sichuan University, Chengdu, China
| | - Xuelin Zou
- Department of Respiratory Medicine, Chengdu Seventh People’s Hospital/Affiliated Cancer Hospital of Chengdu Medical College, Chengdu, China
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11
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Song P, Li Y, Zhang M, Lyu B, Cui Y, Gao S. Comprehensive Analysis of a Dendritic Cell Marker Genes Signature to Predict Prognosis and Immunotherapy Response in Lung Adenocarcinoma. J Immunother 2024:00002371-990000000-00101. [PMID: 38679823 DOI: 10.1097/cji.0000000000000521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/12/2024] [Indexed: 05/01/2024]
Abstract
With the development of immune checkpoints inhibitors (ICIs), immunotherapy has recently taken center stage in cancer treatment. Dendritic cells exert complicated and important functions in antitumor immunity. This study aims to construct a novel dendritic cell marker gene signature (DCMGS) to predict the prognosis and immunotherapy response of lung adenocarcinoma (LUAD). DC marker genes in LUAD were identified by analysis of single-cell RNA sequencing data. 6 genes (G0S2, KLF4, ALDH2, IER3, TXN, CD69) were screened as the most prognosis-related genes for constructing DCMGS on a training cohort from TCGA data set. Patients were divided into high-risk and low-risk groups by DCMGS risk score based on overall survival time. Then, the predictive ability of the risk model was validated in 6 independent cohorts. DCMGS was verified to be an independent prognostic factor in multivariate analysis. Furthermore, we performed pathway enrichment analysis to explore possible biological mechanisms of the powerful predictive ability of DCMGS, and immune cell infiltration landscape and inflammatory activities were exhibited to reflect the immune profile. Notably, we bridged DCMGS with expression of immune checkpoints and TCR/BCR repertoire diversity that can inflect immunotherapy response. Finally, the predictive ability of DCMGS in immunotherapy response was also validated by 2 cohorts that had received immunotherapy. As a result, the patients with lower DCMGS risk scores showed a better prognosis and immunotherapy response. In conclusion, DCMGS was suggested to be a promising prognostic indicator for LUAD and a desirable predictor for immunotherapy response.
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Affiliation(s)
- Peng Song
- Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yuan Li
- Department of Thoracic Surgery, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Moyan Zhang
- Department of Thoracic Surgery, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Baihan Lyu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yong Cui
- Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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12
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Wang Y, Huang Z, Li B, Xue J, Guo C, Bing Z, Zheng Z, Song Y, Xu Y, Huang G, Li H, Yu X, Xia Y, Li R, Si X, Zhang L, Li J, Song L, Xiong Y, Gu D, Song M, Zhou Z, Chen R, Feng Z, Bie Z, Li X, Yang H, Li S, Liang N. Clonal expansion of shared T cell receptors reveals the existence of immune commonality among different lesions of synchronous multiple primary lung cancer. Cancer Immunol Immunother 2024; 73:111. [PMID: 38668781 PMCID: PMC11052747 DOI: 10.1007/s00262-024-03703-8] [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: 12/20/2023] [Accepted: 04/14/2024] [Indexed: 04/29/2024]
Abstract
The increase in the detection rate of synchronous multiple primary lung cancer (MPLC) has posed remarkable clinical challenges due to the limited understanding of its pathogenesis and molecular features. Here, comprehensive comparisons of genomic and immunologic features between MPLC and solitary lung cancer nodule (SN), as well as different lesions of the same patient, were performed. Compared with SN, MPLC displayed a lower rate of EGFR mutation but higher rates of BRAF, MAP2K1, and MTOR mutation, which function exactly in the upstream and downstream of the same signaling pathway. Considerable heterogeneity in T cell receptor (TCR) repertoire exists among not only different patients but also among different lesions of the same patient. Invasive lesions of MPLC exhibited significantly higher TCR diversity and lower TCR expansion than those of SN. Intriguingly, different lesions of the same patient always shared a certain proportion of TCR clonotypes. Significant clonal expansion could be observed in shared TCR clonotypes, particularly in those existing in all lesions of the same patient. In conclusion, this study provided evidences of the distinctive mutational landscape, activation of oncogenic signaling pathways, and TCR repertoire in MPLC as compared with SN. The significant clonal expansion of shared TCR clonotypes demonstrated the existence of immune commonality among different lesions of the same patient and shed new light on the individually tailored precision therapy for MPLC.
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Affiliation(s)
- Yadong Wang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhicheng Huang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bowen Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianchao Xue
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chao Guo
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhongxing Bing
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhibo Zheng
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Song
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Xu
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guanghua Huang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haochen Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoqing Yu
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yankai Xia
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ruirui Li
- Department of Cardiothoracic Surgery, Civil Aviation General Hospital, Beijing, China
| | - Xiaoyan Si
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Zhang
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ji Li
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lan Song
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | | | | | | | | | - Zhe Feng
- Department of Cardiothoracic Surgery, The Sixth Hospital of Beijing, Beijing, China
| | - Zhixin Bie
- Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoguang Li
- Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Huaxia Yang
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Department of Rheumatology and Clinical Immunology, National Clinical Research Center for Dermatologic and Immunologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, The Ministry of Education Key Laboratory, Beijing, China.
| | - Shanqing Li
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Naixin Liang
- Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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13
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Li Y, Sharma A, Schmidt-Wolf IGH. Evolving insights into the improvement of adoptive T-cell immunotherapy through PD-1/PD-L1 blockade in the clinical spectrum of lung cancer. Mol Cancer 2024; 23:80. [PMID: 38659003 PMCID: PMC11040940 DOI: 10.1186/s12943-023-01926-4] [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: 07/28/2023] [Accepted: 12/20/2023] [Indexed: 04/26/2024] Open
Abstract
Undeniably, cancer immunotherapies have expanded the spectrum of cancer treatment, however, some patients do not respond to immunotherapies. This scenario is no different for lung cancer, whose two main types, non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), still pose a serious clinical challenge. Adoptive T-cell therapies (ATC), which primarily include cytokine-induced killer (CIK) cell therapy, chimeric antigen receptor T-cell (CAR T-cell) therapy and γδ-T-cell therapy, strengthen the patient's immune system in combating cancer. Combining ATC with immune checkpoint inhibitors (ICI) further enhances the effectiveness of this approach to eradicate cancer. With a particular emphasis on CIK cell therapy, which recently completed 30 years, we highlight the role of the PD-1/PD-L1 axis in NSCLC and SCLC. Besides, we provide insights into the potential synergies of PD-1/PD-L1 inhibitors with adoptive T-cell immunotherapy in reshaping the treatment paradigm for lung cancer.
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Affiliation(s)
- Yutao Li
- Department of Integrated Oncology, Center for Integrated Oncology (CIO) Bonn, University Hospital Bonn, Venusberg Campus 1, D-53127,, Bonn, Germany
| | - Amit Sharma
- Department of Integrated Oncology, Center for Integrated Oncology (CIO) Bonn, University Hospital Bonn, Venusberg Campus 1, D-53127,, Bonn, Germany
- Department of Neurosurgery, University Hospital Bonn, Bonn, Germany
| | - Ingo G H Schmidt-Wolf
- Department of Integrated Oncology, Center for Integrated Oncology (CIO) Bonn, University Hospital Bonn, Venusberg Campus 1, D-53127,, Bonn, Germany.
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14
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Cheng B, Li C, Li J, Gong L, Liang P, Chen Y, Zhan S, Xiong S, Zhong R, Liang H, Feng Y, Wang R, Wang H, Zheng H, Liu J, Zhou C, Shao W, Qiu Y, Sun J, Xie Z, Liang Z, Yang C, Cai X, Su C, Wang W, He J, Liang W. The activity and immune dynamics of PD-1 inhibition on high-risk pulmonary ground glass opacity lesions: insights from a single-arm, phase II trial. Signal Transduct Target Ther 2024; 9:93. [PMID: 38637495 PMCID: PMC11026465 DOI: 10.1038/s41392-024-01799-z] [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: 11/24/2023] [Revised: 02/26/2024] [Accepted: 03/10/2024] [Indexed: 04/20/2024] Open
Abstract
Immune checkpoint inhibitors targeting the programmed cell death-1 (PD-1) protein significantly improve survival in patients with advanced non-small-cell lung cancer (NSCLC), but its impact on early-stage ground-glass opacity (GGO) lesions remains unclear. This is a single-arm, phase II trial (NCT04026841) using Simon's optimal two-stage design, of which 4 doses of sintilimab (200 mg per 3 weeks) were administrated in 36 enrolled multiple primary lung cancer (MPLC) patients with persistent high-risk (Lung-RADS category 4 or had progressed within 6 months) GGOs. The primary endpoint was objective response rate (ORR). T/B/NK-cell subpopulations, TCR-seq, cytokines, exosomal RNA, and multiplexed immunohistochemistry (mIHC) were monitored and compared between responders and non-responders. Finally, two intent-to-treat (ITT) lesions (pure-GGO or GGO-predominant) showed responses (ORR: 5.6%, 2/36), and no patients had progressive disease (PD). No grade 3-5 TRAEs occurred. The total response rate considering two ITT lesions and three non-intent-to-treat (NITT) lesions (pure-solid or solid-predominant) was 13.9% (5/36). The proportion of CD8+ T cells, the ratio of CD8+/CD4+, and the TCR clonality value were significantly higher in the peripheral blood of responders before treatment and decreased over time. Correspondingly, the mIHC analysis showed more CD8+ T cells infiltrated in responders. Besides, responders' cytokine concentrations of EGF and CTLA-4 increased during treatment. The exosomal expression of fatty acid metabolism and oxidative phosphorylation gene signatures were down-regulated among responders. Collectively, PD-1 inhibitor showed certain activity on high-risk pulmonary GGO lesions without safety concerns. Such effects were associated with specific T-cell re-distribution, EGF/CTLA-4 cytokine compensation, and regulation of metabolism pathways.
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Affiliation(s)
- Bo Cheng
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Caichen Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jianfu Li
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Longlong Gong
- Medical Department, Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Peng Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Ying Chen
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Shuting Zhan
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Shan Xiong
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Ran Zhong
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Hengrui Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Yi Feng
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Runchen Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Haixuan Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Hongbo Zheng
- Medical Department, Genecast Biotechnology Co., Ltd, Wuxi, China
| | - Jun Liu
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Chengzhi Zhou
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Wenlong Shao
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Yuan Qiu
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jiancong Sun
- Department of Radiation Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- Department of Respiratory Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Zhu Liang
- Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Chenglin Yang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Xiuyu Cai
- Department of VIP Inpatient, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Sun Yat-sen University, Guangzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Wei Wang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
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15
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Tatsi EB, Filippatos F, Bello T, Syriopoulou V, Michos A. Comparative Study of T-Cell Repertoires after COVID-19 Immunization with Homologous or Heterologous Vaccine Booster. Pathogens 2024; 13:284. [PMID: 38668239 PMCID: PMC11054887 DOI: 10.3390/pathogens13040284] [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: 01/24/2024] [Revised: 03/12/2024] [Accepted: 03/25/2024] [Indexed: 04/29/2024] Open
Abstract
Sequencing of the T-cell repertoire is an innovative method to assess the cellular responses after immunization. The purpose of this study was to compare T-cell repertoires after COVID-19 immunization with homologous (HOB) and heterologous (HEB) boosting. The study included 20 participants with a median age of 27.5 (IQR:23) years, who were vaccinated with one dose of the Ad26.COV2.S vaccine and were boosted with either Ad26.COV2.S (n = 10) or BNT162b2 (n = 10) vaccine. Analysis of the T-cell receptor beta locus (TCRβ) sequencing one month after the booster dose identified that the HEB compared to the HOB group exhibited a higher number of both total and COVID-19-related functional T-cell rearrangements [mean of total productive rearrangements (TPRs): 63151.8 (SD ± 18441.5) vs. 34915.4 (SD ± 11121.6), p = 0.001 and COVID-19-TPRs: 522.5 (SD ± 178.0) vs. 298.3 (SD ± 101.1), p = 0.003]. A comparison between the HOB and HEB groups detected no statistically significant differences regarding T-cell Simpson clonality [0.021 (IQR:0.014) vs. 0.019 (IQR:0.007)], richness [8734.5 (IQR:973.3) vs. 8724 (IQR:383.7)] and T-cell fraction [0.19 (IQR:0.08) vs. 0.18 (IQR:0.08)]. HEB also exhibited a substantially elevated humoral immune response one month after the booster dose compared to HOB [median antibody titer (IQR): 10115.0 U/mL (6993.0) vs. 1781.0 U/mL (1314.0), p = 0.001]. T-cell repertoire sequencing indicated that HEB had increased SARS-CoV-2-related T-cell rearrangements, which was in accordance with higher humoral responses and possibly conferring longer protection. Data from the present study indicate that the administration of different COVID-19 vaccines as a booster may provide better protection.
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Affiliation(s)
- Elizabeth-Barbara Tatsi
- Infectious Diseases and Chemotherapy Research Laboratory, First Department of Pediatrics, Medical School, “Aghia Sophia” Children’s Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.-B.T.); (F.F.)
| | - Filippos Filippatos
- Infectious Diseases and Chemotherapy Research Laboratory, First Department of Pediatrics, Medical School, “Aghia Sophia” Children’s Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.-B.T.); (F.F.)
| | - Thomas Bello
- Adaptive Biotechnologies, Seattle 98109, WA, USA;
| | - Vasiliki Syriopoulou
- Infectious Diseases and Chemotherapy Research Laboratory, First Department of Pediatrics, Medical School, “Aghia Sophia” Children’s Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.-B.T.); (F.F.)
| | - Athanasios Michos
- Infectious Diseases and Chemotherapy Research Laboratory, First Department of Pediatrics, Medical School, “Aghia Sophia” Children’s Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (E.-B.T.); (F.F.)
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16
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Wang Q, Xie B, Sun J, Li Z, Xiao D, Tao Y, She X. An Investigation of the Immune Microenvironment and Genome during Lung Adenocarcinoma Development. J Cancer 2024; 15:1687-1700. [PMID: 38370388 PMCID: PMC10869965 DOI: 10.7150/jca.92101] [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: 11/10/2023] [Accepted: 01/09/2024] [Indexed: 02/20/2024] Open
Abstract
Background: Adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) are two consecutive pathological processes that occur before invasive lung adenocarcinoma (LUAD). However, our understanding of the immune editing patterns during the progression of LUAD remains limited. Furthermore, we know very little about whether alterations in driver genes are involved in forming the tumor microenvironment (TME). Therefore, it is necessary to elucidate the regulatory role of TME in LUAD development from multiple dimensions, including immune cell infiltration, molecular mutation events, and oncogenic signaling pathways. Methods: We collected 145 surgically resected pulmonary nodule specimens, including 28 cases of AIS, 52 cases of MIA, and 65 cases of LUAD. Immunohistochemistry (IHC) was used to detect the expression of immune markers CD3, CD4, CD8, CD68 and programmed death ligand 1 (PD-L1). Genomic data and TMB generated by targeted next-generation sequencing (NGS). Results: LUAD exhibited higher levels of immune cell infiltration, tumor mutation burden (TMB), and activation of oncogenic pathways compared to AIS and MIA. In LUAD, compared to epidermal growth factor receptor (EGFR) single mutation and wild-type (WT) samples, cases with EGFR co-mutations showed a more pronounced rise in the CD4/CD8 ratio and CD68 infiltration. Patients with low-density lipoprotein (LDL) receptor-related protein 1B (LRP1B) mutation have higher TMB and PD-L1 expression. The transition from AIS to LUAD tends to shift the TME towards the PD-L1+CD8+ subtype (adaptive resistance). Progression-associated mutations (PAMs) were enriched in the lymphocyte differentiation pathway and related to exhausted cells' phenotype. Conclusion: Tumor-infiltrating immune cells tend to accumulate as the depth of LUAD invasion increases, but subsequently develop into an immune exhaustion and immune escape state. Mutations in EGFR and LRP1B could potentially establish an immune niche that fosters tumor growth. PAMs in LUAD may accelerate disease progression by promoting T cell differentiation into an exhausted state.
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Affiliation(s)
- Qingyi Wang
- Department of Pathology, School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410078 China
| | - Bin Xie
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410078 China
| | - Jingyue Sun
- Department of Pathology, School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410078 China
| | - Zisheng Li
- Department of Pathology, School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410078 China
| | - Desheng Xiao
- Department of Pathology, School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410078 China
| | - Yongguang Tao
- Cancer Research Institute, School of Basic Medicine, Central South University, Changsha, Hunan, 410078, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Central South University), Ministry of Education, Hunan, 410078, China
| | - Xiaoling She
- Department of Pathology, The Second Xiangya Hospital, Central South University Changsha, Hunan, 410011, China
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17
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Zhang J, Wang Y, Huang Y, Tan X, Xu J, Yan Q, Tan J, Zhang Y, Zhang J, Ma Q, Zhu H, Ye J, Zhu Z, Lan W. Characterization of T cell receptor repertoire in penile cancer. Cancer Immunol Immunother 2024; 73:24. [PMID: 38280010 PMCID: PMC10822009 DOI: 10.1007/s00262-023-03615-z] [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: 09/26/2023] [Accepted: 12/04/2023] [Indexed: 01/29/2024]
Abstract
Tumor-infiltrating lymphocytes (TILs) play a key role in regulating the host immune response and shaping tumor microenvironment. It has been previously shown that T cell infiltration in penile tumors was associated with clinical outcomes. However, few studies have reported the T cell receptor (TCR) repertoire in patients with penile cancer. In the present study, we evaluated the TCR repertoires in tumor and adjacent normal tissues from 22 patients with penile squamous cell carcinoma (PSCC). Analysis of the T cell receptor beta-variable (TRBV) and joining (TRBJ) genes usage and analysis of complementarity determining region 3 (CDR3) length distribution did not show significant differences between tumor and matched normal tissues. Moreover, analysis of the median Jaccard index indicated a limited overlap of TCR repertoire between these groups. Compared with normal tissues, a significantly lower diversity and higher clonality of TCR repertoire was observed in tumor samples, which was associated with clinical characteristics. Further analysis of transcriptional profiles demonstrated that tumor samples with high clonality showed increased expression of genes associated with CD8 + T cells. In addition, we analyzed the TCR repertoire of CD4 + T cells and CD8 + T cells isolated from tumor tissues. We identified that expanded clonotypes were predominantly in the CD8 + T cell compartment, which presented with an exhausted phenotype. Overall, we comprehensively compared TCR repertoire between penile tumor and normal tissues and demonstrated the presence of distinct T cell immune microenvironments in patients with PSCC.
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Affiliation(s)
- Junying Zhang
- Chongqing Key Laboratory of High Active Traditional Chinese Drug Delivery System, Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China
- College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People's Republic of China
| | - Yapeng Wang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Yiqiang Huang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Xintao Tan
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jing Xu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Qian Yan
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jiao Tan
- School of Pharmacy, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China
| | - Yao Zhang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jun Zhang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Qiang Ma
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Hailin Zhu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jin Ye
- Urinary Nephropathy Center, The Thirteenth People's Hospital of Chongqing, Chongqing, 400053, People's Republic of China.
| | - Zhaojing Zhu
- Chongqing Key Laboratory of High Active Traditional Chinese Drug Delivery System, Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China.
| | - Weihua Lan
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
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18
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LIU Y, MIAO J. [Progress of Immunotherapy in EGFR-mutated Advanced Non-small Cell Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2024; 26:934-942. [PMID: 38163979 PMCID: PMC10767652 DOI: 10.3779/j.issn.1009-3419.2023.106.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Indexed: 01/03/2024]
Abstract
Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are currently the first-line standard of care for patients with non-small cell lung cancer (NSCLC) that harbor EGFR mutations. Nevertheless, resistance to EGFR-TKIs is inevitable. In recent years, although immune checkpoint inhibitors (ICIs) have significantly shifted the treatment paradigm in advanced NSCLC without driver mutation, clinical benefits of these agents are limited in patients with EGFR-mutated NSCLC. Compared with wild-type tumors, tumors with EGFR mutations show more heterogeneity in the expression level of programmed cell death ligand 1 (PD-L1), tumor mutational burden (TMB), and other tumor microenvironment (TME) characteristics. Whether ICIs are suitable for NSCLC patients with EGFR mutations is still worth exploring. In this review, we summarized the clinical data with regard to the efficacy of ICIs in patients with EGFR-mutated NSCLC and deciphered the unique TME in EGFR-mutated NSCLC.
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19
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Vokes NI, Galan Cobo A, Fernandez-Chas M, Molkentine D, Treviño S, Druker V, Qian Y, Patel S, Schmidt S, Hong L, Lewis J, Rinsurongkawong W, Rinsurongkawong V, Lee JJ, Negrao MV, Gibbons DL, Vaporciyan A, Le X, Wu J, Zhang J, Rigney U, Iyer S, Dean E, Heymach JV. ATM Mutations Associate with Distinct Co-Mutational Patterns and Therapeutic Vulnerabilities in NSCLC. Clin Cancer Res 2023; 29:4958-4972. [PMID: 37733794 PMCID: PMC10690143 DOI: 10.1158/1078-0432.ccr-23-1122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/16/2023] [Accepted: 09/15/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE Ataxia-telangiectasia mutated (ATM) is the most frequently mutated DNA damage repair gene in non-small cell lung cancer (NSCLC). However, the molecular correlates of ATM mutations and their clinical implications have not been fully elucidated. EXPERIMENTAL DESIGN Clinicopathologic and genomic data from 26,587 patients with NSCLC from MD Anderson, public databases, and a de-identified nationwide (US-based) NSCLC clinicogenomic database (CGDB) were used to assess the co-mutation landscape, protein expression, and mutational processes in ATM-mutant tumors. We used the CGDB to evaluate ATM-associated outcomes in patients treated with immune checkpoint inhibitors (ICI) with or without chemotherapy, and assessed the effect of ATM loss on STING signaling and chemotherapy sensitivity in preclinical models. RESULTS Nonsynonymous mutations in ATM were observed in 11.2% of samples (2,980/26,587) and were significantly associated with mutations in KRAS, but mutually exclusive with EGFR (q < 0.1). KRAS mutational status constrained the ATM co-mutation landscape, with strong mutual exclusivity with TP53 and KEAP1 within KRAS-mutated samples. Those ATM mutations that co-occurred with TP53 were more likely to be missense mutations and associate with high mutational burden, suggestive of non-functional passenger mutations. In the CGDB cohort, dysfunctional ATM mutations associated with improved OS only in patients treated with ICI-chemotherapy, and not ICI alone. In vitro analyses demonstrated enhanced upregulation of STING signaling in ATM knockout cells with the addition of chemotherapy. CONCLUSIONS ATM mutations define a distinct subset of NSCLC associated with KRAS mutations, increased TMB, decreased TP53 and EGFR co-occurrence, and potential increased sensitivity to ICIs in the context of DNA-damaging chemotherapy.
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Affiliation(s)
- Natalie I. Vokes
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ana Galan Cobo
- Department of Molecular Diagnostics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - David Molkentine
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Santiago Treviño
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vitaly Druker
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Yu Qian
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sonia Patel
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephanie Schmidt
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lingzhi Hong
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeff Lewis
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Waree Rinsurongkawong
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - J. Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marcelo V. Negrao
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Don L. Gibbons
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ara Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xiuning Le
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jia Wu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Una Rigney
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Sonia Iyer
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Emma Dean
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - John V. Heymach
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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20
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Hunter B, Argyros C, Inglese M, Linton-Reid K, Pulzato I, Nicholson AG, Kemp SV, L Shah P, Molyneaux PL, McNamara C, Burn T, Guilhem E, Mestas Nuñez M, Hine J, Choraria A, Ratnakumar P, Bloch S, Jordan S, Padley S, Ridge CA, Robinson G, Robbie H, Barnett J, Silva M, Desai S, Lee RW, Aboagye EO, Devaraj A. Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosis. Br J Cancer 2023; 129:1949-1955. [PMID: 37932513 PMCID: PMC10703918 DOI: 10.1038/s41416-023-02480-y] [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: 01/18/2023] [Revised: 09/21/2023] [Accepted: 10/23/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Methods to improve stratification of small (≤15 mm) lung nodules are needed. We aimed to develop a radiomics model to assist lung cancer diagnosis. METHODS Patients were retrospectively identified using health records from January 2007 to December 2018. The external test set was obtained from the national LIBRA study and a prospective Lung Cancer Screening programme. Radiomics features were extracted from multi-region CT segmentations using TexLab2.0. LASSO regression generated the 5-feature small nodule radiomics-predictive-vector (SN-RPV). K-means clustering was used to split patients into risk groups according to SN-RPV. Model performance was compared to 6 thoracic radiologists. SN-RPV and radiologist risk groups were combined to generate "Safety-Net" and "Early Diagnosis" decision-support tools. RESULTS In total, 810 patients with 990 nodules were included. The AUC for malignancy prediction was 0.85 (95% CI: 0.82-0.87), 0.78 (95% CI: 0.70-0.85) and 0.78 (95% CI: 0.59-0.92) for the training, test and external test datasets, respectively. The test set accuracy was 73% (95% CI: 65-81%) and resulted in 66.67% improvements in potentially missed [8/12] or delayed [6/9] cancers, compared to the radiologist with performance closest to the mean of six readers. CONCLUSIONS SN-RPV may provide net-benefit in terms of earlier cancer diagnosis.
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Affiliation(s)
- Benjamin Hunter
- Imperial College London, Faculty of Medicine, Department of Surgery & Cancer, London, UK
| | - Christos Argyros
- Imperial College London, Faculty of Medicine, Department of Surgery & Cancer, London, UK
| | - Marianna Inglese
- Imperial College London, Faculty of Medicine, Department of Surgery & Cancer, London, UK
- Department of Biomedicine and Prevention, University of Rome, Tor Vergata, Italy
| | - Kristofer Linton-Reid
- Imperial College London, Faculty of Medicine, Department of Surgery & Cancer, London, UK
| | - Ilaria Pulzato
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK
| | - Andrew G Nicholson
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Histopathology, London, UK
- Imperial College London, National Heart and Lung Institute, London, UK
| | - Samuel V Kemp
- Nottingham University Hospitals NHS Trust, Department of Respiratory Medicine, Nottingham, UK
| | - Pallav L Shah
- Imperial College London, National Heart and Lung Institute, London, UK
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Respiratory Medicine, London, UK
| | - Philip L Molyneaux
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Respiratory Medicine, London, UK
| | - Cillian McNamara
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK
| | - Toby Burn
- Imperial College London, Faculty of Medicine, Department of Surgery & Cancer, London, UK
| | - Emily Guilhem
- King's College Hospital, Department of Radiology, London, UK
| | | | - Julia Hine
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK
| | - Anika Choraria
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK
| | - Prashanthi Ratnakumar
- Imperial College London, National Heart and Lung Institute, London, UK
- St Mary's Hospital, Imperial College Healthcare Trust, Department of Respiratory Medicine, London, UK
| | - Susannah Bloch
- Imperial College London, National Heart and Lung Institute, London, UK
- St Mary's Hospital, Imperial College Healthcare Trust, Department of Respiratory Medicine, London, UK
| | - Simon Jordan
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Thoracic Surgery, London, UK
| | - Simon Padley
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK
- Imperial College London, National Heart and Lung Institute, London, UK
| | - Carole A Ridge
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK
- Imperial College London, National Heart and Lung Institute, London, UK
| | - Graham Robinson
- The Royal United Hospital, Bath, Department of Radiology, Bath, UK
| | - Hasti Robbie
- King's College Hospital, Department of Radiology, London, UK
| | - Joseph Barnett
- Department of Radiology, Royal Free Hospital, London, UK
| | - Mario Silva
- Section of "Scienze Radiologiche", Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Sujal Desai
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK
- Imperial College London, National Heart and Lung Institute, London, UK
- Imperial College London, Margaret Turner-Warwick Centre for Fibrosing Lung Disease, London, UK
| | - Richard W Lee
- Imperial College London, National Heart and Lung Institute, London, UK
- Lung Unit, The Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK
- Early Diagnosis and Detection, Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Eric O Aboagye
- Imperial College London, Faculty of Medicine, Department of Surgery & Cancer, London, UK
| | - Anand Devaraj
- The Royal Brompton and Harefield Hospitals, Guy's and St Thomas's NHS Foundation Trust, Department of Radiology, London, UK.
- Imperial College London, National Heart and Lung Institute, London, UK.
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21
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Chen P, Rojas FR, Hu X, Serrano A, Zhu B, Chen H, Hong L, Bandyoyadhyay R, Aminu M, Kalhor N, Lee JJ, El Hussein S, Khoury JD, Pass HI, Moreira AL, Velcheti V, Sterman DH, Fukuoka J, Tabata K, Su D, Ying L, Gibbons DL, Heymach JV, Wistuba II, Fujimoto J, Solis Soto LM, Zhang J, Wu J. Pathomic Features Reveal Immune and Molecular Evolution From Lung Preneoplasia to Invasive Adenocarcinoma. Mod Pathol 2023; 36:100326. [PMID: 37678674 PMCID: PMC10841057 DOI: 10.1016/j.modpat.2023.100326] [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: 03/26/2023] [Revised: 08/12/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023]
Abstract
Recent statistics on lung cancer, including the steady decline of advanced diseases and the dramatically increasing detection of early-stage diseases and indeterminate pulmonary nodules, mark the significance of a comprehensive understanding of early lung carcinogenesis. Lung adenocarcinoma (ADC) is the most common histologic subtype of lung cancer, and atypical adenomatous hyperplasia is the only recognized preneoplasia to ADC, which may progress to adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) and eventually to invasive ADC. Although molecular evolution during early lung carcinogenesis has been explored in recent years, the progress has been significantly hindered, largely due to insufficient materials from ADC precursors. Here, we employed state-of-the-art deep learning and artificial intelligence techniques to robustly segment and recognize cells on routinely used hematoxylin and eosin histopathology images and extracted 9 biology-relevant pathomic features to decode lung preneoplasia evolution. We analyzed 3 distinct cohorts (Japan, China, and United States) covering 98 patients, 162 slides, and 669 regions of interest, including 143 normal, 129 atypical adenomatous hyperplasia, 94 AIS, 98 MIA, and 205 ADC. Extracted pathomic features revealed progressive increase of atypical epithelial cells and progressive decrease of lymphocytic cells from normal to AAH, AIS, MIA, and ADC, consistent with the results from tissue-consuming and expensive molecular/immune profiling. Furthermore, pathomics analysis manifested progressively increasing cellular intratumor heterogeneity along with the evolution from normal lung to invasive ADC. These findings demonstrated the feasibility and substantial potential of pathomics in studying lung cancer carcinogenesis directly from the low-cost routine hematoxylin and eosin staining.
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Affiliation(s)
- Pingjun Chen
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Frank R Rojas
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xin Hu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alejandra Serrano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bo Zhu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hong Chen
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lingzhi Hong
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rukhmini Bandyoyadhyay
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Muhammad Aminu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Neda Kalhor
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Siba El Hussein
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, New York
| | - Joseph D Khoury
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, Nebraska
| | - Harvey I Pass
- Department of Surgery, NYU Langone Health, New York, New York
| | - Andre L Moreira
- Department of Pathology, NYU Langone Health, New York, New York
| | - Vamsidhar Velcheti
- Department of Medicine, NYU Grossman School of Medicine, New York, New York
| | - Daniel H Sterman
- Department of Medicine, NYU Grossman School of Medicine, New York, New York; Department of Cardiothoracic Surgery, NYU Grossman School of Medicine, New York, New York
| | - Junya Fukuoka
- Department of Pathology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Kazuhiro Tabata
- Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Dan Su
- Cancer Research Institute, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Lisha Ying
- Cancer Research Institute, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Luisa M Solis Soto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Jia Wu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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22
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Kim T, Lim H, Jun S, Park J, Lee D, Lee JH, Lee JY, Bang D. Globally shared TCR repertoires within the tumor-infiltrating lymphocytes of patients with metastatic gynecologic cancer. Sci Rep 2023; 13:20485. [PMID: 37993659 PMCID: PMC10665396 DOI: 10.1038/s41598-023-47740-2] [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: 04/15/2023] [Accepted: 11/17/2023] [Indexed: 11/24/2023] Open
Abstract
Gynecologic cancer, including ovarian cancer and endometrial cancer, is characterized by morphological and molecular heterogeneity. Germline and somatic testing are available for patients to screen for pathogenic variants in genes such as BRCA1/2. Tissue expression levels of immunogenomic markers such as PD-L1 are also being used in clinical research. The basic therapeutic approach to gynecologic cancer combines surgery with chemotherapy. Immunotherapy, while not yet a mainstream treatment for gynecologic cancers, is advancing, with Dostarlimab recently receiving approval as a treatment for endometrial cancer. The goal remains to harness stimulated immune cells in the bloodstream to eradicate multiple metastases, a feat currently deemed challenging in a typical clinical setting. For the discovery of novel immunotherapy-based tumor targets, tumor-infiltrating lymphocytes (TILs) give a key insight on tumor-related immune activities by providing T cell receptor (TCR) sequences. Understanding the TCR repertoires of TILs in metastatic tissues and the circulation is important from an immunotherapy standpoint, as a subset of T cells in the blood have the potential to help kill tumor cells. To explore the relationship between distant tissue biopsy regions and blood circulation, we investigated the TCR beta chain (TCRβ) in bulk tumor and matched blood samples from 39 patients with gynecologic cancer. We found that the TCR clones of TILs at different tumor sites were globally shared within patients and had high overlap with the TCR clones in peripheral blood.
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Affiliation(s)
- Taehoon Kim
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Hyeonseob Lim
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Soyeong Jun
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Junsik Park
- Department of Obstetrics and Gynecology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Dongin Lee
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Ji Hyun Lee
- Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Korea
- Department of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Korea
| | - Jung-Yun Lee
- Department of Obstetrics and Gynecology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| | - Duhee Bang
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
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23
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Hu Q, Frank ML, Gao Y, Ji L, Peng M, Chen C, Wang B, Hu Y, Wu Z, Li J, Shu L, He Q, Zhang Y, Xia X, Zhang J, Yi X, Reuben A, Yu F. Spatial heterogeneity of T cell repertoire across NSCLC tumors, tumor edges, adjacent and distant lung tissues. Oncoimmunology 2023; 12:2233399. [PMID: 37876834 PMCID: PMC10591778 DOI: 10.1080/2162402x.2023.2233399] [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: 11/03/2022] [Accepted: 07/02/2023] [Indexed: 10/26/2023] Open
Abstract
Background A better understanding of T cells in lung cancer and their distribution across tumor-adjacent lungs and peripheral blood is needed to improve efficacy and minimize toxicity from immunotherapy to lung cancer patients. Methods Here, we performed CDR3β TCR sequencing of 136 samples from 20 patients with early-stage NSCLC including peripheral blood mononuclear cells, tumors, tumor edges (<1 cm from tumor), as well as adjacent lungs 1 cm, 2 cm, 5 cm, and 10 cm away from the tumor to gain insight into the spatial heterogeneity of T cells across the lungs in patients with NSCLC. PD-L1, CD4, and CD8 expression was assessed using immunohistochemical staining, and genomic features were derived by targeted sequencing of 1,021 cancer-related genes. Multiplex immunohistochemistry against PD-1, CTLA4, LAG3, and TIM3 was performed on four patients to assess T cell exhaustion. Results Our study reveals a decreasing gradient in TIL Tumor Infiltrating Lymphocytes homology with tumor edge, adjacent lungs, and peripheral blood but no discernible distance-associated patterns of T cell trafficking within the adjacent lung itself. Furthermore, we show a decrease in pathogen-specific TCRs in regions with high T cell clonality and PD-L1 expression. Conclusions Exclusion in T exhaustion cells at play across the lungs of patients with NSCLC may potentially be the mechanism for lung cancer occurrence.
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Affiliation(s)
- Qikang Hu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Meredith L. Frank
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - Yang Gao
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, P. R. China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, China
- Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis & Treatment, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Liyan Ji
- Geneplus-Beijing Institute, Beijing, China
| | - Muyun Peng
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chen Chen
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Bin Wang
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yan Hu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zeyu Wu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jina Li
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Lu Shu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
| | | | | | | | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, USA
- Lung Cancer Genomics Program, University of Texas MD Anderson Cancer Center, Houston, USA
- Lung Cancer Interception Program, University of Texas MD Anderson Cancer Center, Houston, USA
| | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - Fenglei Yu
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, P. R. China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, China
- Early-Stage Lung Cancer Center, The Second Xiangya Hospital of Central South University, Changsha, China
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24
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Pospiech M, Tamizharasan M, Wei YC, Kumar AMS, Lou M, Milstein J, Alachkar H. Features of the TCR repertoire associate with patients' clinical and molecular characteristics in acute myeloid leukemia. Front Immunol 2023; 14:1236514. [PMID: 37928542 PMCID: PMC10620936 DOI: 10.3389/fimmu.2023.1236514] [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: 06/07/2023] [Accepted: 09/07/2023] [Indexed: 11/07/2023] Open
Abstract
Background Allogeneic hematopoietic stem cell transplant remains the most effective strategy for patients with high-risk acute myeloid leukemia (AML). Leukemia-specific neoantigens presented by the major histocompatibility complexes (MHCs) are recognized by the T cell receptors (TCR) triggering the graft-versus-leukemia effect. A unique TCR signature is generated by a complex V(D)J rearrangement process to form TCR capable of binding to the peptide-MHC. The generated TCR repertoire undergoes dynamic changes with disease progression and treatment. Method Here we applied two different computational tools (TRUST4 and MIXCR) to extract the TCR sequences from RNA-seq data from The Cancer Genome Atlas (TCGA) and examine the association between features of the TCR repertoire in adult patients with AML and their clinical and molecular characteristics. Results We found that only ~30% of identified TCR CDR3s were shared by the two computational tools. Yet, patterns of TCR associations with patients' clinical and molecular characteristics based on data obtained from either tool were similar. The numbers of unique TCR clones were highly correlated with patients' white blood cell counts, bone marrow blast percentage, and peripheral blood blast percentage. Multivariable regressions of TCRA and TCRB median normalized number of unique clones with mutational status of AML patients using TRUST4 showed significant association of TCRA or TCRB with WT1 mutations, WBC count, %BM blast, and sex (adjusted in TCRB model). We observed a correlation between TCRA/B number of unique clones and the expression of T cells inhibitory signal genes (TIGIT, LAG3, CTLA-4) and foxp3, but not IL2RA, CD69 and TNFRSF9 suggestive of exhausted T cell phenotypes in AML. Conclusion Benchmarking of computational tools is needed to increase the accuracy of the identified clones. The utilization of RNA-seq data enables identification of highly abundant TCRs and correlating these clones with patients' clinical and molecular characteristics. This study further supports the value of high-resolution TCR-Seq analyses to characterize the TCR repertoire in patients.
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Affiliation(s)
- Mateusz Pospiech
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Mukund Tamizharasan
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
- Department of Computer Science, University of Southern California, Los Angeles, CA, United States
| | - Yu-Chun Wei
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Advaith Maya Sanjeev Kumar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
- Department of Computer Science, University of Southern California, Los Angeles, CA, United States
| | - Mimi Lou
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Joshua Milstein
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Houda Alachkar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
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25
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Beird HC, Wu CC, Nakazawa M, Ingram D, Daniele JR, Lazcano R, Little L, Davies C, Daw NC, Wani K, Wang WL, Song X, Gumbs C, Zhang J, Rubin B, Conley A, Flanagan AM, Lazar AJ, Futreal PA. Complete loss of TP53 and RB1 is associated with complex genome and low immune infiltrate in pleomorphic rhabdomyosarcoma. HGG ADVANCES 2023; 4:100224. [PMID: 37593416 PMCID: PMC10428123 DOI: 10.1016/j.xhgg.2023.100224] [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: 03/23/2023] [Accepted: 07/14/2023] [Indexed: 08/19/2023] Open
Abstract
Rhabdomyosarcoma accounts for roughly 1% of adult sarcomas, with pleomorphic rhabdomyosarcoma (PRMS) as the most common subtype. Survival outcomes remain poor for patients with PRMS, and little is known about the molecular drivers of this disease. To better characterize PRMS, we performed a broad array of genomic and immunostaining analyses on 25 patient samples. In terms of gene expression and methylation, PRMS clustered more closely with other complex karyotype sarcomas than with pediatric alveolar and embryonal rhabdomyosarcoma. Immune infiltrate levels in PRMS were among the highest observed in multiple sarcoma types and contrasted with low levels in other rhabdomyosarcoma subtypes. Lower immune infiltrate was associated with complete loss of both TP53 and RB1. This comprehensive characterization of the genetic, epigenetic, and immune landscape of PRMS provides a roadmap for improved prognostications and therapeutic exploration.
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Affiliation(s)
- Hannah C. Beird
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chia-Chin Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Michael Nakazawa
- Department of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Davis Ingram
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Joseph R. Daniele
- TRACTION Platform, Division of Therapeutics Discovery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rossana Lazcano
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher Davies
- Research Department of Pathology, UCL Cancer Institute, London WC1E 6DD, UK
| | - Najat C. Daw
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Khalida Wani
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wei-Lien Wang
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Brian Rubin
- Institute Chair, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Anthony Conley
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Adrienne M. Flanagan
- Research Department of Pathology, UCL Cancer Institute, London WC1E 6DD, UK
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | - Alexander J. Lazar
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - P. Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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26
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Ren S, Lan T, Wu F, Chen S, Jiang X, Huo C, Li Z, Xie S, Wu D, Wang R, Li Y, Qiu L, Huang G, Li S, Wang X, Cen M, Cai T, Lin Z, Li J, Li B. Intratumoral CD103 + CD8 + T cells predict response to neoadjuvant chemoimmunotherapy in advanced head and neck squamous cell carcinoma. Cancer Commun (Lond) 2023; 43:1143-1163. [PMID: 37658605 PMCID: PMC10565384 DOI: 10.1002/cac2.12480] [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: 03/03/2023] [Revised: 06/19/2023] [Accepted: 08/22/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Immune cell heterogenicity is known to determine the therapeutic response to cancer progression. Neoadjuvant chemoimmunotherapy (NACI) has shown clinical benefits in some patients with advanced head and neck squamous cell carcinoma (HNSCC), but the underlying mechanism behind this clinical response is unknown. The efficacy of NACI needs to be potentiated by identifying accurate biomarkers to predict clinical responses. Here, we attempted to identify molecules predicting NACI response in advanced HNSCC. METHODS We performed combined single-cell RNA sequencing (scRNA-seq) and multiplex immunofluorescence (mIHC) staining with tumor samples derived from NACI-treated HNSCC patients to identify a new tumor-infiltrating cell (TIL) subtype, CD103+ CD8+ TILs, associated with clinical response, while both in vitro and in vivo assays were carried out to determine its antitumor efficiency. The regulatory mechanism of the CD103+ CD8+ TILs population was examined by performing cell-cell interaction analysis of the scRNA-seq data and spatial analysis of the mIHC images. RESULTS We established intratumoral CD103+ CD8+ TILs density as a determinant of NACI efficacy in cancers. Our scRNA-seq results indicated that the population of CD103+ CD8+ TILs was dramatically increased in the responders of NACI-treated HNSCC patients, while mIHC analysis confirmed the correlation between intratumoral CD103+ CD8+ TILs density and NACI efficacy in HNSCC patients. Further receiver operating characteristic curve analysis defined this TIL subset as a potent marker to predict patient response to NACI. Functional assays showed that CD103+ CD8+ TILs were tumor-reactive T cells, while programmed cell death protein-1 (PD-1) blockade enhanced CD103+ CD8+ TILs cytotoxicity against tumor growth in vivo. Mechanistically, targeting the triggering receptor expressed on myeloid cells 2-positive (TREM2+ ) macrophages might enhance the population of CD103+ CD8+ TILs and facilitate antitumor immunity during NACI treatment. CONCLUSIONS Our study highlights the impact of intratumoral CD103+ CD8+ TILs density on NACI efficacy in different cancers, while the efforts to elevate its population warrant further clinical investigation.
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Affiliation(s)
- Siqi Ren
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Tianjun Lan
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Fan Wu
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Suling Chen
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Xue Jiang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Chuying Huo
- Department of Gynecological OncologySun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Zitian Li
- School of Stomatology, Jilin UniversityJilinP. R. China
| | - Shule Xie
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Donghui Wu
- Stomatology Hospital of Haizhu districtGuangdongP. R. China
| | - Ruixin Wang
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Yanyan Li
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Lin Qiu
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Guoxin Huang
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Shurui Li
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Xiaojuan Wang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Meifeng Cen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Tingting Cai
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
| | - Zhaoyu Lin
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Jinsong Li
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Bowen Li
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
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27
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Konen JM, Rodriguez BL, Wu H, Fradette JJ, Gibson L, Diao L, Wang J, Schmidt S, Wistuba II, Zhang J, Gibbons DL. Autotaxin suppresses cytotoxic T cells via LPAR5 to promote anti-PD-1 resistance in non-small cell lung cancer. J Clin Invest 2023; 133:e163128. [PMID: 37655662 PMCID: PMC10471170 DOI: 10.1172/jci163128] [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: 06/29/2022] [Accepted: 07/13/2023] [Indexed: 09/02/2023] Open
Abstract
Non-small cell lung cancers that harbor concurrent KRAS and TP53 (KP) mutations are immunologically warm tumors with partial responsiveness to anti-PD-(L)1 blockade; however, most patients observe little or no durable clinical benefit. To identify novel tumor-driven resistance mechanisms, we developed a panel of KP murine lung cancer models with intrinsic resistance to anti-PD-1 and queried differential gene expression between these tumors and anti-PD-1-sensitive tumors. We found that the enzyme autotaxin (ATX), and the metabolite it produces, lysophosphatidic acid (LPA), were significantly upregulated in resistant tumors and that ATX directly modulated antitumor immunity, with its expression negatively correlating with total and effector tumor-infiltrating CD8+ T cells. Pharmacological inhibition of ATX, or the downstream receptor LPAR5, in combination with anti-PD-1 was sufficient to restore the antitumor immune response and efficaciously control lung tumor growth in multiple KP tumor models. Additionally, ATX was significantly correlated with inflammatory gene signatures, including a CD8+ cytolytic score in multiple lung adenocarcinoma patient data sets, suggesting that an activated tumor-immune microenvironment upregulates ATX and thus provides an opportunity for cotargeting to prevent acquired resistance to anti-PD-1 treatment. These data reveal the ATX/LPA axis as an immunosuppressive pathway that diminishes the immune checkpoint blockade response in lung cancer.
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Affiliation(s)
- Jessica M. Konen
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Hematology and Medical Oncology, Emory University, Atlanta, Georgia, USA
| | - B. Leticia Rodriguez
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Haoyi Wu
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jared J. Fradette
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Laura Gibson
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Surgical Oncology
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology
| | - Jing Wang
- Department of Bioinformatics and Computational Biology
| | | | - Ignacio I. Wistuba
- Department of Translational Molecular Pathology, Division of Pathology/Lab Medicine, and
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Don L. Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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28
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Saad MB, Hong L, Aminu M, Vokes NI, Chen P, Salehjahromi M, Qin K, Sujit SJ, Lu X, Young E, Al-Tashi Q, Qureshi R, Wu CC, Carter BW, Lin SH, Lee PP, Gandhi S, Chang JY, Li R, Gensheimer MF, Wakelee HA, Neal JW, Lee HS, Cheng C, Velcheti V, Lou Y, Petranovic M, Rinsurongkawong W, Le X, Rinsurongkawong V, Spelman A, Elamin YY, Negrao MV, Skoulidis F, Gay CM, Cascone T, Antonoff MB, Sepesi B, Lewis J, Wistuba II, Hazle JD, Chung C, Jaffray D, Gibbons DL, Vaporciyan A, Lee JJ, Heymach JV, Zhang J, Wu J. Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study. Lancet Digit Health 2023; 5:e404-e420. [PMID: 37268451 PMCID: PMC10330920 DOI: 10.1016/s2589-7500(23)00082-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 01/28/2023] [Accepted: 04/04/2023] [Indexed: 06/04/2023]
Abstract
BACKGROUND Only around 20-30% of patients with non-small-cell lung cancer (NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based biomarkers (eg, PD-L1) are limited by suboptimal performance, tissue availability, and tumour heterogeneity, radiographic images might holistically capture the underlying cancer biology. We aimed to investigate the application of deep learning on chest CT scans to derive an imaging signature of response to immune checkpoint inhibitors and evaluate its added value in the clinical context. METHODS In this retrospective modelling study, 976 patients with metastatic, EGFR/ALK negative NSCLC treated with immune checkpoint inhibitors at MD Anderson and Stanford were enrolled from Jan 1, 2014, to Feb 29, 2020. We built and tested an ensemble deep learning model on pretreatment CTs (Deep-CT) to predict overall survival and progression-free survival after treatment with immune checkpoint inhibitors. We also evaluated the added predictive value of the Deep-CT model in the context of existing clinicopathological and radiological metrics. FINDINGS Our Deep-CT model demonstrated robust stratification of patient survival of the MD Anderson testing set, which was validated in the external Stanford set. The performance of the Deep-CT model remained significant on subgroup analyses stratified by PD-L1, histology, age, sex, and race. In univariate analysis, Deep-CT outperformed the conventional risk factors, including histology, smoking status, and PD-L1 expression, and remained an independent predictor after multivariate adjustment. Integrating the Deep-CT model with conventional risk factors demonstrated significantly improved prediction performance, with overall survival C-index increases from 0·70 (clinical model) to 0·75 (composite model) during testing. On the other hand, the deep learning risk scores correlated with some radiomics features, but radiomics alone could not reach the performance level of deep learning, indicating that the deep learning model effectively captured additional imaging patterns beyond known radiomics features. INTERPRETATION This proof-of-concept study shows that automated profiling of radiographic scans through deep learning can provide orthogonal information independent of existing clinicopathological biomarkers, bringing the goal of precision immunotherapy for patients with NSCLC closer. FUNDING National Institutes of Health, Mark Foundation Damon Runyon Foundation Physician Scientist Award, MD Anderson Strategic Initiative Development Program, MD Anderson Lung Moon Shot Program, Andrea Mugnaini, and Edward L C Smith.
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Affiliation(s)
- Maliazurina B Saad
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lingzhi Hong
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Muhammad Aminu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Natalie I Vokes
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pingjun Chen
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Morteza Salehjahromi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kang Qin
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sheeba J Sujit
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xuetao Lu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elliana Young
- Department of Enterprise Data Engineering and Analytics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Qasem Al-Tashi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rizwan Qureshi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carol C Wu
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brett W Carter
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Steven H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Percy P Lee
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Radiation Oncology, City of Hope National Medical Center, Los Angeles, CA, USA
| | - Saumil Gandhi
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Joe Y Chang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ruijiang Li
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Michael F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Heather A Wakelee
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cancer Institute, Stanford, CA, USA
| | - Joel W Neal
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cancer Institute, Stanford, CA, USA
| | - Hyun-Sung Lee
- Systems Onco-Immunology Laboratory, David J Sugarbaker Division of Thoracic Surgery, Michael E DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Vamsidhar Velcheti
- Department of Hematology and Oncology, New York University Langone Health, New York, NY, USA
| | - Yanyan Lou
- Division of Hematology and Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - Milena Petranovic
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Waree Rinsurongkawong
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiuning Le
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vadeerat Rinsurongkawong
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Amy Spelman
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yasir Y Elamin
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ferdinandos Skoulidis
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carl M Gay
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tina Cascone
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mara B Antonoff
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeff Lewis
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John D Hazle
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Caroline Chung
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David Jaffray
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ara Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Jia Wu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Cui Y, Li J, Zhang P, Yin D, Wang Z, Dai J, Wang W, Zhang E, Guo R. B4GALT1 promotes immune escape by regulating the expression of PD-L1 at multiple levels in lung adenocarcinoma. J Exp Clin Cancer Res 2023; 42:146. [PMID: 37303063 DOI: 10.1186/s13046-023-02711-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/15/2023] [Indexed: 06/13/2023] Open
Abstract
BACKGROUND Invasive adenocarcinoma (IAC), which is typically preceded by minimally invasive adenocarcinoma (MIA), is the dominant pathological subtype of early-stage lung adenocarcinoma (LUAD). Identifying the molecular events underlying the progression from MIA to IAC may provide a crucial perspective and boost the exploration of novel strategies for early-stage LUAD diagnosis and treatment. METHODS Transcriptome sequencing of four pairs of MIA and IAC tumours obtained from four multiple primary lung cancer patients was performed to screen out beta-1,4-galactosyltransferase1 (B4GALT1). Function and mechanism experiments in vitro and in vivo were performed to explore the regulatory mechanism of B4GALT1-mediated immune evasion by regulating programmed cell death ligand 1 (PD-L1). RESULTS B4GALT1, a key gene involved in N-glycan biosynthesis, was highly expressed in IAC samples. Further experiments revealed that B4GALT1 regulated LUAD cell proliferation and invasion both in vitro and in vivo and was related to the impaired antitumour capacity of CD8 + T cells. Mechanistically, B4GALT1 directly mediates the N-linked glycosylation of PD-L1 protein, thus preventing PD-L1 degradation at the posttranscriptional level. In addition, B4GALT1 stabilized the TAZ protein via glycosylation, which activated CD274 at the transcriptional level. These factors lead to lung cancer immune escape. Importantly, inhibition of B4GALT1 increased CD8 + T-cell abundance and activity and enhanced the antitumour immunity of anti-PD-1 therapy in vivo. CONCLUSION B4GALT1 is a critical molecule in the development of early-stage LUAD and may be a novel target for LUAD intervention and immunotherapy.
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Affiliation(s)
- Yanan Cui
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Jun Li
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Pengpeng Zhang
- Department of Thoracic Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Dandan Yin
- Clinical Research Center, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Zhong Fu Road, Gulou District, Nanjing, Jiangsu, 210003, P. R. China
| | - Ziyu Wang
- Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Jiali Dai
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China
| | - Wei Wang
- Department of Thoracic Surgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China.
| | - Erbao Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China.
| | - Renhua Guo
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P. R. China.
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Xie S, Yan R, Zheng A, Shi M, Tang L, Li X, Liu J, Gan Y, Wang Y, Jiang D, Liu L, Wu H, Wang Z. T cell receptor and B cell receptor exhibit unique signatures in tumor and adjacent non-tumor tissues of hepatocellular carcinoma. Front Immunol 2023; 14:1161417. [PMID: 37313417 PMCID: PMC10258310 DOI: 10.3389/fimmu.2023.1161417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/16/2023] [Indexed: 06/15/2023] Open
Abstract
Background The tumor microenvironment in hepatocellular carcinoma (HCC) is complicated. Tumor-infiltrating T and B cells play a pivotal role in anti-tumor immunity. T cell receptor (TCR) and B cell receptor (BCR) features may reflect the disease-associated antigen response. Methods By combining bulk TCR/BCR-sequencing, RNA-sequencing, whole exome-sequencing, and human leukocyte antigen-sequencing, we examined the immune repertoire (IR) features of tumor and adjacent non-tumor tissues obtained from 64 HCC patients. Results High IR heterogeneity with weak similarity was discovered between tumor and non-tumor tissues. Higher BCR diversity, richness, and somatic hypermutation (SHM) were found in non-tumor tissues, while TCRα and TCRβ diversity and richness were comparable or higher in tumor. Additionally, lower immune infiltration was found in tumor than non-tumor tissues; the microenvironment in tumor appeared to keep stably inhibited and changed slightly with tumor progression. Moreover, BCR SHM was stronger, whereas TCR/BCR diversity declined with HCC progression. Importantly, we found that higher IR evenness in tumor and lower TCR richness in non-tumor tissues indicated better survival in HCC patients. Collectively, the results revealed that TCR and BCR exhibited distinct features in tumor and non-tumor tissues. Conclusions We demonstrated that IR features vary between different tissues of HCC. IR features may represent a biomarker for the diagnosis and treatment of HCC patients, providing references for subsequent immunotherapy research and strategy selection.
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Affiliation(s)
- Shi Xie
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Rong Yan
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Anqi Zheng
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mengfen Shi
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | | | - Xueying Li
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiabang Liu
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yifan Gan
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yu Wang
- Department of Hepatobiliary Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Deke Jiang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Li Liu
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hongkai Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Zhanhui Wang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Luo J, Wang X, Zou Y, Chen L, Liu W, Zhang W, Li SC. Quantitative annotations of T-Cell repertoire specificity. Brief Bioinform 2023; 24:bbad175. [PMID: 37150761 DOI: 10.1093/bib/bbad175] [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: 02/15/2023] [Revised: 04/03/2023] [Accepted: 04/17/2023] [Indexed: 05/09/2023] Open
Abstract
The specificity of a T-cell receptor (TCR) repertoire determines personalized immune capacity. Existing methods have modeled the qualitative aspects of TCR specificity, while the quantitative aspects remained unaddressed. We developed a package, TCRanno, to quantify the specificity of TCR repertoires. We created deep-learning-based, epitope-aware vector embeddings to infer individual TCR specificity. Then we aggregated clonotype frequencies of TCRs to obtain a quantitative profile of repertoire specificity at epitope, antigen and organism levels. Applying TCRanno to 4195 TCR repertoires revealed quantitative changes in repertoire specificity upon infections, autoimmunity and cancers. Specifically, TCRanno found cytomegalovirus-specific TCRs in seronegative healthy individuals, supporting the possibility of abortive infections. TCRanno discovered age-accumulated fraction of severe acute respiratory syndrome coronavirus 2 specific TCRs in pre-pandemic samples, which may explain the aggressive symptoms and age-related severity of coronavirus disease 2019. TCRanno also identified the encounter of Hepatitis B antigens as a potential trigger of systemic lupus erythematosus. TCRanno annotations showed capability in distinguishing TCR repertoires of healthy and cancers including melanoma, lung and breast cancers. TCRanno also demonstrated usefulness to single-cell TCRseq+gene expression data analyses by isolating T-cells with the specificity of interest.
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Affiliation(s)
- Jiaqi Luo
- Department of Computer Science, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
| | - Xueying Wang
- Department of Computer Science, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
| | - Yiping Zou
- Department of Computer Science, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
| | - Lingxi Chen
- Department of Computer Science, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
| | - Wei Liu
- Department of Computer Science, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
| | - Wei Zhang
- Department of Computer Science, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
| | - Shuai Cheng Li
- Department of Computer Science, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
- Department of Biomedical Engineering, City University of Hong Kong, 83 Tat Tree Ave, Kowloon Tong, Hong Kong, China
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Parra ER, Zhang J, Jiang M, Tamegnon A, Pandurengan RK, Behrens C, Solis L, Haymaker C, Heymach JV, Moran C, Lee JJ, Gibbons D, Wistuba II. Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer. Nat Commun 2023; 14:2364. [PMID: 37185575 PMCID: PMC10130161 DOI: 10.1038/s41467-023-37905-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 04/05/2023] [Indexed: 05/17/2023] Open
Abstract
Studying the cellular geographic distribution in non-small cell lung cancer is essential to understand the roles of cell populations in this type of tumor. In this study, we characterize the spatial cellular distribution of immune cell populations using 23 makers placed in five multiplex immunofluorescence panels and their associations with clinicopathologic variables and outcomes. Our results demonstrate two cellular distribution patterns-an unmixed pattern mostly related to immunoprotective cells and a mixed pattern mostly related to immunosuppressive cells. Distance analysis shows that T-cells expressing immune checkpoints are closer to malignant cells than other cells. Combining the cellular distribution patterns with cellular distances, we can identify four groups related to inflamed and not-inflamed tumors. Cellular distribution patterns and distance are associated with survival in univariate and multivariable analyses. Spatial distribution is a tool to better understand the tumor microenvironment, predict outcomes, and may can help select therapeutic interventions.
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Affiliation(s)
- Edwin Roger Parra
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Jiexin Zhang
- Departments of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mei Jiang
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Auriole Tamegnon
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Carmen Behrens
- Departments of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa Solis
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cara Haymaker
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John Victor Heymach
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cesar Moran
- Departments of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jack J Lee
- Departments of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Don Gibbons
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Departments of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio Ivan Wistuba
- Departments of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Departments of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Guo M, Abd-Rabbo D, Bertol B, Carew M, Lukhele S, Snell LM, Xu W, Boukhaled GM, Elsaesser H, Halaby MJ, Hirano N, McGaha TL, Brooks DG. Molecular, metabolic and functional CD4 T cell paralysis impedes tumor control. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.15.536946. [PMID: 37131587 PMCID: PMC10153152 DOI: 10.1101/2023.04.15.536946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
CD4 T cells are important effectors of anti-tumor immunity, yet the regulation of CD4 tumor-specific T (T TS ) cells during cancer development is still unclear. We demonstrate that CD4 T TS cells are initially primed in the tumor draining lymph node and begin to divide following tumor initiation. Distinct from CD8 T TS cells and previously defined exhaustion programs, CD4 T TS cell proliferation is rapidly frozen in place and differentiation stunted by a functional interplay of T regulatory cells and both intrinsic and extrinsic CTLA4 signaling. Together these mechanisms paralyze CD4 T TS cell differentiation, redirecting metabolic and cytokine production circuits, and reducing CD4 T TS cell accumulation in the tumor. Paralysis is actively maintained throughout cancer progression and CD4 T TS cells rapidly resume proliferation and functional differentiation when both suppressive reactions are alleviated. Strikingly, Treg depletion alone reciprocally induced CD4 T TS cells to themselves become tumor-specific Tregs, whereas CTLA4 blockade alone failed to promote T helper differentiation. Overcoming their paralysis established long-term tumor control, demonstrating a novel immune evasion mechanism that specifically cripples CD4 T TS cells to favor tumor progression.
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Tippalagama R, Chihab LY, Kearns K, Lewis S, Panda S, Willemsen L, Burel JG, Lindestam Arlehamn CS. Antigen-specificity measurements are the key to understanding T cell responses. Front Immunol 2023; 14:1127470. [PMID: 37122719 PMCID: PMC10140422 DOI: 10.3389/fimmu.2023.1127470] [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: 12/19/2022] [Accepted: 03/30/2023] [Indexed: 05/02/2023] Open
Abstract
Antigen-specific T cells play a central role in the adaptive immune response and come in a wide range of phenotypes. T cell receptors (TCRs) mediate the antigen-specificities found in T cells. Importantly, high-throughput TCR sequencing provides a fingerprint which allows tracking of specific T cells and their clonal expansion in response to particular antigens. As a result, many studies have leveraged TCR sequencing in an attempt to elucidate the role of antigen-specific T cells in various contexts. Here, we discuss the published approaches to studying antigen-specific T cells and their specific TCR repertoire. Further, we discuss how these methods have been applied to study the TCR repertoire in various diseases in order to characterize the antigen-specific T cells involved in the immune control of disease.
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Zornikova KV, Sheetikov SA, Rusinov AY, Iskhakov RN, Bogolyubova AV. Architecture of the SARS-CoV-2-specific T cell repertoire. Front Immunol 2023; 14:1070077. [PMID: 37020560 PMCID: PMC10067759 DOI: 10.3389/fimmu.2023.1070077] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 03/08/2023] [Indexed: 03/22/2023] Open
Abstract
The T cell response plays an indispensable role in the early control and successful clearance of SARS-CoV-2 infection. However, several important questions remain about the role of cellular immunity in COVID-19, including the shape and composition of disease-specific T cell repertoires across convalescent patients and vaccinated individuals, and how pre-existing T cell responses to other pathogens—in particular, common cold coronaviruses—impact susceptibility to SARS-CoV-2 infection and the subsequent course of disease. This review focuses on how the repertoire of T cell receptors (TCR) is shaped by natural infection and vaccination over time. We also summarize current knowledge regarding cross-reactive T cell responses and their protective role, and examine the implications of TCR repertoire diversity and cross-reactivity with regard to the design of vaccines that confer broader protection against SARS-CoV-2 variants.
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Affiliation(s)
- Ksenia V. Zornikova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Saveliy A. Sheetikov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Alexander Yu Rusinov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Rustam N. Iskhakov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Apollinariya V. Bogolyubova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- *Correspondence: Apollinariya V. Bogolyubova,
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Frank ML, Lu K, Erdogan C, Han Y, Hu J, Wang T, Heymach JV, Zhang J, Reuben A. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy. Clin Cancer Res 2023; 29:994-1008. [PMID: 36413126 PMCID: PMC10011887 DOI: 10.1158/1078-0432.ccr-22-2469] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/07/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022]
Abstract
T cells are integral components of the adaptive immune system, and their responses are mediated by unique T-cell receptors (TCR) that recognize specific antigens from a variety of biological contexts. As a result, analyzing the T-cell repertoire offers a better understanding of immune responses and of diseases like cancer. Next-generation sequencing technologies have greatly enabled the high-throughput analysis of the TCR repertoire. On the basis of our extensive experience in the field from the past decade, we provide an overview of TCR sequencing, from the initial library preparation steps to sequencing and analysis methods and finally to functional validation techniques. With regards to data analysis, we detail important TCR repertoire metrics and present several computational tools for predicting antigen specificity. Finally, we highlight important applications of TCR sequencing and repertoire analysis to understanding tumor biology and developing cancer immunotherapies.
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Affiliation(s)
- Meredith L Frank
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
| | - Kaylene Lu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Can Erdogan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Rice University, Houston, Texas
| | - Yi Han
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Jian Hu
- The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tao Wang
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas.,Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, Texas
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas MD Anderson Cancer Center UT Health Houston Graduate School of Biomedical Sciences, Houston, Texas
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Dou Y, Shan S, Zhang J. UcTCRdb: An unconventional T cell receptor sequence database with online analysis functions. Front Immunol 2023; 14:1158295. [PMID: 36993970 PMCID: PMC10040587 DOI: 10.3389/fimmu.2023.1158295] [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: 02/03/2023] [Accepted: 03/02/2023] [Indexed: 03/14/2023] Open
Abstract
Unlike conventional major histocompatibility complex (MHC) class I and II molecules reactive T cells, the unconventional T cell subpopulations recognize various non-polymorphic antigen-presenting molecules and are typically characterized by simplified patterns of T cell receptors (TCRs), rapid effector responses and ‘public’ antigen specificities. Dissecting the recognition patterns of the non-MHC antigens by unconventional TCRs can help us further our understanding of the unconventional T cell immunity. The small size and irregularities of the released unconventional TCR sequences are far from high-quality to support systemic analysis of unconventional TCR repertoire. Here we present UcTCRdb, a database that contains 669,900 unconventional TCRs collected from 34 corresponding studies in humans, mice, and cattle. In UcTCRdb, users can interactively browse TCR features of different unconventional T cell subsets in different species, search and download sequences under different conditions. Additionally, basic and advanced online TCR analysis tools have been integrated into the database, which will facilitate the study of unconventional TCR patterns for users with different backgrounds. UcTCRdb is freely available at http://uctcrdb.cn/.
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38
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Xiao G, Li L, Tanzhu G, Liu Z, Gao X, Wan X, Xiao D, Chen L, Xia X, Zhou R. Heterogeneity of tumor immune microenvironment of EGFR/ALK-positive tumors versus EGFR/ALK-negative tumors in resected brain metastases from lung adenocarcinoma. J Immunother Cancer 2023; 11:jitc-2022-006243. [PMID: 36868569 PMCID: PMC9990629 DOI: 10.1136/jitc-2022-006243] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2023] [Indexed: 03/05/2023] Open
Abstract
BACKGROUND Previous studies found that lung adenocarcinomas (LUAD) with EGFR-positive and ALK-positive were less responsive to immunotherapy, which may be associated with a suppressive tumor immune microenvironment (TIME). Given the discordance in the TIME between primary lung cancer and brain metastasis, it is urgent to explore the TIME in patients with EGFR/ALK-positive LUAD with brain metastases (BMs). METHODS The transcriptome feature of formalin-fixed and paraffin-embedded samples of BMs and paired primary LUAD from 70 patients with LUAD BMs was illustrated by RNA-sequencing. Six of them were available for paired sample analysis. Then, after excluding 3 co-occurring patients, we divided 67 BMs patients into 41 EGFR/ALK-positive and 26 EGFR/ALK-negative patients. The differences in immune profiling between the two groups were analyzed from three dimensions: TIME, T-cell receptor repertoire, and immunohistochemistry. Finally, the survival data of 55 patients were collected. RESULTS Compared with primary LUAD, BMs present an immunosuppressed TIME, manifested as: inhibition of immune-related pathways; low expression of immune checkpoint; decreased infiltration of CD8+T cells and cytotoxic lymphocyte; increased proportion of suppressive M2 macrophages. In different subgroups based on EGFR/ALK gene variation status, both EGFR-positive and ALK-positive tumors present a relatively immunosuppressive microenvironment, but the heterogeneity of tumor microenvironment may undergo different mechanisms. EGFR-positive BMs showed decreased CD8+T cells and increased regulatory T cells (Treg) cells, while ALK-positive BMs showed decreased CD8+T cells and increased M2 macrophages. Moreover, in the TCGA-LUAD cohort, EGFR-positive tumors showed reduced CD8+T cell infiltrations (p<0.001) and borderline significantly higher Tregs than EGFR/ALK-negative (p=0.072). In parallel, ALK-positive tumors had higher median M2 macrophages infiltrations than EGFR/ALK-negative (p=0.175), although there was no statistical significance. Collectively, there was a similar immunosuppressive milieu between EGFR/ALK-positive primary LUAD and BMs. Moreover, survival analysis uncovered higher CD8A expression, cytotoxic lymphocyte infiltration, and immune scores were significantly associated with better prognosis in both EGFR/ALK-positive and EGFR/ALK-negative groups. CONCLUSION This study found that LUAD-derived BMs exhibited an immunosuppressive TIME and revealed that EGFR-positive and ALK-positive BMs exhibited different immunosuppressive characteristics. Meanwhile, EGFR-negative BMs showed a potential benefit to immunotherapy. These findings boost molecular and clinical understanding of LUAD BMs.
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Affiliation(s)
- Gang Xiao
- Department of Radiation Oncology, Xiangya Hospital Central South University, Changsha, Hunan, China
| | | | - Guilong Tanzhu
- Department of Radiation Oncology, Xiangya Hospital Central South University, Changsha, Hunan, China
| | - Zhiyuan Liu
- Department of Radiation Oncology, Xiangya Hospital Central South University, Changsha, Hunan, China
| | - Xuan Gao
- Institute of Microbiology, Chinese Academy of Sciences, State Key Laboratory of Microbial Resources, Beijing, China.,GenePlus-Shenzhen Clinical Laboratory, Shenzhen, China
| | - Xin Wan
- Department of Neurosurgery, Xiangya Hospital Central South University, Changsha, Hunan, China
| | - Desheng Xiao
- Department of Pathology, Xiangya Hospital Central South University, Changsha, Hunan, China
| | - Liu Chen
- Department of Radiation Oncology, Xiangya Hospital Central South University, Changsha, Hunan, China
| | | | - Rongrong Zhou
- Department of Radiation Oncology, Xiangya Hospital Central South University, Changsha, Hunan, China .,Xiangya Lung Cancer Center, Xiangya Hospital Central South University, Changsha, Hunan, China
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At the crossroads of immunotherapy for oncogene-addicted subsets of NSCLC. Nat Rev Clin Oncol 2023; 20:143-159. [PMID: 36639452 DOI: 10.1038/s41571-022-00718-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2022] [Indexed: 01/15/2023]
Abstract
Non-small-cell lung cancer (NSCLC) has become a paradigm of precision medicine, with the discovery of numerous disease subtypes defined by specific oncogenic driver mutations leading to the development of a range of molecularly targeted therapies. Over the past decade, rapid progress has also been made in the development of immune-checkpoint inhibitors (ICIs), especially antagonistic antibodies targeting the PD-L1-PD-1 axis, for the treatment of NSCLC. Although many of the major oncogenic drivers of NSCLC are associated with intrinsic resistance to ICIs, patients with certain oncogene-driven subtypes of the disease that are highly responsive to specific targeted therapies might also derive benefit from immunotherapy. However, the development of effective immunotherapy approaches for oncogene-addicted NSCLC has been challenged by a lack of predictive biomarkers for patient selection and limited knowledge of how ICIs and oncogene-directed targeted therapies should be combined. Therefore, whether ICIs alone or with chemotherapy or even in combination with molecularly targeted agents would offer comparable benefit in the context of selected oncogenic driver alterations to that observed in the general unselected NSCLC population remains an open question. In this Review, we discuss the effects of oncogenic driver mutations on the efficacy of ICIs and the immune tumour microenvironment as well as the potential vulnerabilities that could be exploited to overcome the challenges of immunotherapy for oncogene-addicted NSCLC.
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40
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Balbach ML, Axelrod ML, Balko JM, Bankhead A, Shaffer T, Lim L, Guo J, Hernandez J, Li M, Iams WT. Peripheral T-cell receptor repertoire dynamics in small cell lung cancer. Transl Lung Cancer Res 2023; 12:257-265. [PMID: 36895920 PMCID: PMC9989808 DOI: 10.21037/tlcr-22-666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 12/21/2022] [Indexed: 02/25/2023]
Abstract
Background Identifying a circulating biomarker predictive of immune checkpoint inhibitor (ICI) benefit in patients with small cell lung cancer (SCLC) remains an unmet need. Characteristics of peripheral and intratumoral T-cell receptor (TCR) repertoires have been shown to predict clinical outcomes in non-small cell lung cancer (NSCLC). Recognizing a knowledge gap, we sought to characterize circulating TCR repertoires and their relationship with clinical outcomes in SCLC. Methods SCLC patients with limited (n=4) and extensive (n=10) stage disease were prospectively enrolled for blood collection and chart review. Targeted next-generation sequencing of TCR beta and alpha chains of peripheral blood samples was performed. Unique TCR clonotypes were defined by identical CDR3, V gene, and J gene nucleotide sequences of the beta chain and subsequently used to calculate TCR diversity indices. Results Patients with stable versus progressive and limited versus extensive stage disease did not demonstrate significant differences in V gene usage. Kaplan-Meier curve and log-rank analysis did not identify a statistical difference in progression-free survival (PFS) (P=0.900) or overall survival (OS) (P=0.200) between high and low on-treatment TCR diversity groups, although the high diversity group exhibited a trend toward increased OS. Conclusions We report the second study investigating peripheral TCR repertoire diversity in SCLC. With a limited sample size, no statistically significant associations between peripheral TCR diversity and clinical outcomes were observed, though further study is warranted.
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Affiliation(s)
- Meridith L. Balbach
- Vanderbilt University School of Medicine, Nashville, TN, USA
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Margaret L. Axelrod
- Vanderbilt University School of Medicine, Nashville, TN, USA
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Justin M. Balko
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | | | | | - Lee Lim
- Resolution Bioscience, Kirkland, WA, USA
| | | | | | - Mark Li
- Resolution Bioscience, Kirkland, WA, USA
| | - Wade T. Iams
- Division of Hematology-Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
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41
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Shin J, Ham B, Seo JH, Lee SB, Park IA, Gong G, Kim SB, Lee HJ. Immune repertoire and responses to neoadjuvant TCHP therapy in HER2-positive breast cancer. Ther Adv Med Oncol 2023; 15:17588359231157654. [PMID: 36865681 PMCID: PMC9972050 DOI: 10.1177/17588359231157654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 01/30/2023] [Indexed: 03/02/2023] Open
Abstract
Background Despite the introduction of trastuzumab, pathologic complete response (pCR) is not attained in approximately 30-40% of Human epithelial growth factor receptor-2-positive breast cancer. Tumor-infiltrating lymphocytes (TIL) have been suggested as a predictive marker of treatment response, albeit not always effective. We investigated the relationship between trastuzumab, docetaxel, carboplatin, and pertuzumab (TCHP) treatment and immune repertoire as a treatment response predictor. Design In all, 35 cases were divided into two experimental groups: 10 and 25 cases in the preliminary and main experiments, respectively. In the preliminary experiment, the biopsy tissues before TCHP treatment and the surgical tissues after TCHP treatment were compared. In the main experiment, the biopsy tissues before TCHP treatment were compared according to the TCHP treatment response. Methods The T-cell repertoire for TRA, TRB, TRG, and TRD, and B-cell repertoire for immunoglobulin heavy, immunoglobulin kappa, and immunoglobulin lambda were evaluated. Whole transcriptome sequencing was also performed. Results In the preliminary experiment, the density and richness of the T-cell receptor (TCR) and B-cell receptor (BCR) repertoires decreased after treatment, regardless of TCHP response. In the main experiment, the Shannon's entropy index, density, and length of CDR3 of the TCR and BCR repertoires did not differ significantly in patients who did and did not achieve pCR. The pCR and non-pCR subgroups according to the level of TILs revealed that the non-pCR/lowTIL group had a higher proportion of low-frequency clones than the pCR/lowTIL group in TRA (non-pCR/lowTIL versus pCR/lowTIL, 0.01-0.1%, 63% versus 45.3%; <0.01%, 32.9% versus 51.8%, p < 0.001) and TRB (non-pCR/lowTIL versus pCR/lowTIL, 0.01-0.1%, 26.5% versus 14.7%; <0.01%, 72.0% versus 84.1%, p < 0.001). Conclusions The role of the diversity, richness, and density of the TCR and BCR repertoires as predictive markers for TCHP response was not identified. Compositions of low-frequency clones could be candidates for predictive factors of TCHP response; however, validation studies and further research are necessary.
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Affiliation(s)
- Junyoung Shin
- Department of Pathology, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, Korea
| | | | | | - Sae Byul Lee
- Department of Breast Surgery, Asan Medical
Center, University of Ulsan College of Medicine, Seoul, Korea
| | - In Ah Park
- Department of Pathology, Kangbuk Samsung
Hospital, Seoul, Republic of Korea
| | - Gyungyub Gong
- Department of Pathology, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, Korea
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Roulleaux Dugage M, Albarrán-Artahona V, Laguna JC, Chaput N, Vignot S, Besse B, Mezquita L, Auclin E. Biomarkers of response to immunotherapy in early stage non-small cell lung cancer. Eur J Cancer 2023; 184:179-196. [PMID: 36963241 DOI: 10.1016/j.ejca.2023.01.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/30/2023] [Indexed: 02/19/2023]
Abstract
Immunotherapy with immune-checkpoint inhibitors (ICIs) targeting programmed cell death 1 or programmed death-ligand 1 has revolutionised the treatment of advanced non-small cell lung cancer (NSCLC) and has been investigated in early NSCLC, alone or in combination with chemotherapy, anti-CTLA-4 antibodies and radiotherapy. Although more mature data are needed before setting a change of paradigm in early stages, reports of pathological response rates and disease-free survival are promising, especially with neoadjuvant multimodality approaches. Nevertheless, major pathological response rates for neoadjuvant anti-PD-(L)1 monotherapy rarely exceed 40%, and biomarkers for characterising patients who may benefit the most from ICIs are lacking. These biomarkers have a distinct value from the metastatic setting, with highly different tumour biologies. Among the most investigated so far in this context, programmed death-ligand 1 expression and, to a lesser extent, tumour mutational burden seem to correlate better with higher pathological response rates and survival. Epidermal growth factor receptor, Serine/Threonine Kinase 11and Kelch-like ECH-associated protein 1 mutations rise as essential determinations for the treatment selection in early-stage NSCLC. Emerging and promising approaches comprise evaluation of blood-based ratios, microbiota, and baseline intratumoural TCR clonality. Circulating tumour DNA will be of great help in the near future when selecting best candidates for adjuvant ICIs, monitoring the tumour response to the neoadjuvant treatment in order to improve the rates of complete resections in the early stage.
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Affiliation(s)
- Matthieu Roulleaux Dugage
- Department of Oncology, Hôpital Européen Georges Pompidou, AP-HP, Université Paris Cité, Paris, France; Laboratoire D'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France
| | - Víctor Albarrán-Artahona
- Medical Oncology Department, Hospital Clinic de Barcelona, Spain; Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
| | | | - Nathalie Chaput
- Laboratoire D'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France
| | | | - Benjamin Besse
- Department of Oncology, Gustave Roussy, Villejuif, Île-de-France, France
| | - Laura Mezquita
- Medical Oncology Department, Hospital Clinic de Barcelona, Spain; Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Edouard Auclin
- Department of Oncology, Hôpital Européen Georges Pompidou, AP-HP, Université Paris Cité, Paris, France.
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Vathiotis IA, Bafaloukos D, Syrigos KN, Samonis G. Evolving Treatment Landscape of HER2-mutant Non-Small Cell Lung Cancer: Trastuzumab Deruxtecan and Beyond. Cancers (Basel) 2023; 15:cancers15041286. [PMID: 36831628 PMCID: PMC9954068 DOI: 10.3390/cancers15041286] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 02/22/2023] Open
Abstract
Successful targeting of HER2-activating mutations in DESTINY-Lung02 phase II study has led to the approval of the antibody-drug conjugate (ADC) trastuzumab deruxtecan (T-DXd) as second-line treatment in patients with non-small cell lung cancer (NSCLC). Despite the impressive results, several matters need to be addressed, including the clinical activity of T-DXd in patients with disease in the central nervous system as well as the role of T-DXd in the context of HER2 overexpression. Additionally, data regarding novel agents used to target HER2 continue to accumulate. This review highlights the challenges and unanswered questions that have emerged after the approval of T-DXd in patients with HER2-mutant NSCLC.
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Affiliation(s)
- Ioannis A. Vathiotis
- Third Department of Internal Medicine, Sotiria General Hospital for Chest Diseases, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | | | - Konstantinos N. Syrigos
- Third Department of Internal Medicine, Sotiria General Hospital for Chest Diseases, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - George Samonis
- First Oncology Department, Metropolitan Hospital, 18547 Athens, Greece
- Correspondence:
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Wu X, Chau YF, Bai H, Zhuang X, Wang J, Duan J. Progress on neoadjuvant immunotherapy in resectable non-small cell lung cancer and potential biomarkers. Front Oncol 2023; 12:1099304. [PMID: 36761426 PMCID: PMC9902866 DOI: 10.3389/fonc.2022.1099304] [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: 11/15/2022] [Accepted: 12/31/2022] [Indexed: 01/25/2023] Open
Abstract
Immune checkpoint inhibitors (ICIs) are highly concerned in the treatment of non-small cell lung cancer (NSCLC), represented by inhibitors of programmed death protein 1 (PD-1) and its ligand (PD-L1), and inhibitors of cytotoxic T lymphocyte-associated antigen-4 (CTLA-4). The introduction of immunotherapy in the treatment of perioperative NSCLC has improved the prognosis to a great extent, as demonstrated by several phase II and III clinical trials. The target population for immunotherapy in early-stage NSCLC is still under discussion, and the biomarkers for neoadjuvant immunotherapy population selection are the next pending problem. The predictive efficacy of many potential makers is still being explored, including PD-L1 expression levels, tumor mutation burden, circulating tumor DNA, components of the tumor microenvironment, and several clinical factors. We summarize key findings on the utility of ICIs in clinical trials of preoperative NSCLC patients and conclude analyses of relevant biomarkers to provide a better understanding of potentially predictive biomarkers in neoadjuvant immunotherapy.
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Affiliation(s)
- Xinyu Wu
- CAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing, China
| | - Yi Fung Chau
- CAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing, China
| | - Hua Bai
- CAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing, China
| | - Xiaofei Zhuang
- Department of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Jie Wang
- CAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing, China
| | - Jianchun Duan
- CAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing, China,Department of Medical Oncology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China,*Correspondence: Jianchun Duan,
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Francisco-Cruz A, Rocha P, Reuben A, Krishnan SN, Das P, Chen R, Quek K, Li J, Parra ER, Solis LM, Barua S, Jiang M, Lazcano R, Chow CW, Behrens C, Gumb C, Little L, Fukuoka J, Kalhor N, Weissferdt A, Kadara H, Heymach JV, Swisher S, Sepesi B, Rao A, Moran C, Zhang J, Lee JJ, Fujimoto J, Futreal PA, Wistuba II, Peterson CB, Zhang J. Analysis of Immune Intratumor Heterogeneity Highlights Immunoregulatory and Coinhibitory Lymphocytes as Hallmarks of Recurrence in Stage I Non-Small Cell Lung Cancer. Mod Pathol 2023; 36:100028. [PMID: 36788067 PMCID: PMC10251498 DOI: 10.1016/j.modpat.2022.100028] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 07/19/2022] [Accepted: 09/01/2022] [Indexed: 01/19/2023]
Abstract
Our understanding of the molecular mechanisms underlying postsurgical recurrence of non-small cell lung cancer (NSCLC) is rudimentary. Molecular and T cell repertoire intratumor heterogeneity (ITH) have been reported to be associated with postsurgical relapse; however, how ITH at the cellular level impacts survival is largely unknown. Here we report the analysis of 2880 multispectral images representing 14.2% to 27% of tumor areas from 33 patients with stage I NSCLC, including 17 cases (relapsed within 3 years after surgery) and 16 controls (without recurrence ≥5 years after surgery) using multiplex immunofluorescence. Spatial analysis was conducted to quantify the minimum distance between different cell types and immune cell infiltration around malignant cells. Immune ITH was defined as the variance of immune cells from 3 intratumor regions. We found that tumors from patients having relapsed display different immune biology compared with nonrecurrent tumors, with a higher percentage of tumor cells and macrophages expressing PD-L1 (P =.031 and P =.024, respectively), along with an increase in regulatory T cells (Treg) (P =.018), antigen-experienced T cells (P =.025), and effector-memory T cells (P =.041). Spatial analysis revealed that a higher level of infiltration of PD-L1+ macrophages (CD68+PD-L1+) or antigen-experienced cytotoxic T cells (CD3+CD8+PD-1+) in the tumor was associated with poor overall survival (P =.021 and P =.006, respectively). A higher degree of Treg ITH was associated with inferior recurrence-free survival regardless of tumor mutational burden (P =.022), neoantigen burden (P =.021), genomic ITH (P =.012) and T cell repertoire ITH (P =.001). Using multiregion multiplex immunofluorescence, we characterized ITH at the immune cell level along with whole exome and T cell repertoire sequencing from the same tumor regions. This approach highlights the role of immunoregulatory and coinhibitory signals as well as their spatial distribution and ITH that define the hallmarks of tumor relapse of stage I NSCLC.
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Affiliation(s)
- Alejandro Francisco-Cruz
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Pedro Rocha
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Barcelona, Barcelona, Spain
| | - Alexandre Reuben
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Santhoshi N Krishnan
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas; Department of Computational Biology and Bioinformatics, University of Michigan, Ann Arbor, Michigan
| | - Priyam Das
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| | - Runzhe Chen
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kelly Quek
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jun Li
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Souptik Barua
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas
| | - Mei Jiang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rossana Lazcano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chi-Wan Chow
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carmen Behrens
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Curtis Gumb
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Junya Fukuoka
- Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Neda Kalhor
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Annikka Weissferdt
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephen Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Arvind Rao
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas; Department of Computational Biology and Bioinformatics, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Cesar Moran
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Christine B Peterson
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Jianjun Zhang
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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46
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Høye E, Dagenborg VJ, Torgunrud A, Lund-Andersen C, Fretland ÅA, Lorenz S, Edwin B, Hovig E, Fromm B, Inderberg EM, Greiff V, Ree AH, Flatmark K. T cell receptor repertoire sequencing reveals chemotherapy-driven clonal expansion in colorectal liver metastases. Gigascience 2022; 12:giad032. [PMID: 37161965 PMCID: PMC10170408 DOI: 10.1093/gigascience/giad032] [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: 09/30/2022] [Revised: 02/07/2023] [Accepted: 04/25/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND Colorectal liver metastasis (CLM) is a leading cause of colorectal cancer mortality, and the response to immune checkpoint inhibition (ICI) in microsatellite-stable CRC has been disappointing. Administration of cytotoxic chemotherapy may cause increased density of tumor-infiltrating T cells, which has been associated with improved response to ICI. This study aimed to quantify and characterize T-cell infiltration in CLM using T-cell receptor (TCR) repertoire sequencing. Eighty-five resected CLMs from patients included in the Oslo CoMet study were subjected to TCR repertoire sequencing. Thirty-five and 15 patients had received neoadjuvant chemotherapy (NACT) within a short or long interval, respectively, prior to resection, while 35 patients had not been exposed to NACT. T-cell fractions were calculated, repertoire clonality was analyzed based on Hill evenness curves, and TCR sequence convergence was assessed using network analysis. RESULTS Increased T-cell fractions (10.6% vs. 6.3%) were detected in CLMs exposed to NACT within a short interval prior to resection, while modestly increased clonality was observed in NACT-exposed tumors independently of the timing of NACT administration and surgery. While private clones made up >90% of detected clones, network connectivity analysis revealed that public clones contributed the majority of TCR sequence convergence. CONCLUSIONS TCR repertoire sequencing can be used to quantify T-cell infiltration and clonality in clinical samples. This study provides evidence to support chemotherapy-driven T-cell clonal expansion in CLM in a clinical context.
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Affiliation(s)
- Eirik Høye
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway
- Institute of Clinical Medicine, Medical Faculty, University of Oslo, 0318 Oslo, Norway
| | - Vegar J Dagenborg
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway
- Department of Gastroenterological Surgery, The Norwegian Radium Hospital, 0379 Oslo, Norway
| | - Annette Torgunrud
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway
| | - Christin Lund-Andersen
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway
- Institute of Clinical Medicine, Medical Faculty, University of Oslo, 0318 Oslo, Norway
| | - Åsmund A Fretland
- The Intervention Centre, Rikshospitalet, Oslo University Hospital, 0372 Oslo, Norway
- Department of Hepato-Pancreato-Biliary Surgery, Rikshospitalet, Oslo University Hospital, 0372 Oslo, Norway
| | - Susanne Lorenz
- Department of Core Facilities, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway
| | - Bjørn Edwin
- Institute of Clinical Medicine, Medical Faculty, University of Oslo, 0318 Oslo, Norway
- The Intervention Centre, Rikshospitalet, Oslo University Hospital, 0372 Oslo, Norway
- Department of Hepato-Pancreato-Biliary Surgery, Rikshospitalet, Oslo University Hospital, 0372 Oslo, Norway
| | - Eivind Hovig
- Center for Bioinformatics, Department of Informatics, University of Oslo, 0316 Oslo, Norway
| | - Bastian Fromm
- The Arctic University Museum of Norway, UiT – The Arctic University of Norway, 9037 Tromsø, Norway
| | - Else M Inderberg
- Translational Research Unit, Department of Cellular Therapy, Oslo University Hospital, 0379 Oslo, Norway
| | - Victor Greiff
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372 Oslo, Norway
| | - Anne H Ree
- Institute of Clinical Medicine, Medical Faculty, University of Oslo, 0318 Oslo, Norway
- Department of Oncology, Akershus University Hospital, 1478 Lørenskog, Norway
| | - Kjersti Flatmark
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway
- Institute of Clinical Medicine, Medical Faculty, University of Oslo, 0318 Oslo, Norway
- Department of Gastroenterological Surgery, The Norwegian Radium Hospital, 0379 Oslo, Norway
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47
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Network Pharmacology and Molecular Docking Analysis on Molecular Targets and Mechanisms of Aidi Injection Treating of Nonsmall Cell Lung Cancer. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:8350218. [DOI: 10.1155/2022/8350218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 11/20/2022] [Accepted: 11/23/2022] [Indexed: 12/12/2022]
Abstract
Background. Aidi injection (ADI) is a compound preparation injection of Chinese herbs used to treat patients of nonsmall cell lung cancer (NSCLC) in China. This study aimed to reveal the mechanism of ADI in the treatment of NSCLC by using network pharmacology and molecular docking. Methods. The related targets of ADI and NSCLC were obtained from multiple databases. The network diagram of disease-drug-components-targets (DDCT) and protein-protein interaction (PPI) was constructed to screen key targets. Then, the key targets and main signaling pathways were screened by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Next, in order to validate the results of network pharmacology, expression analysis and survival analysis of key genes were performed. Finally, we carried out the technology of molecular docking to further validate the accuracy of the above results. Results. A total of 207 targets of ADI and 5282 targets of NSCLC were obtained finally. Through the construction of DDCT and PPI network diagrams, 28 key targets were finally obtained. The results of the KEGG enrichment analysis indicated that multiple signaling pathways were associated with NSCLC, which included the MAPK signaling pathway, the IL-17 signaling pathway, and the PI3K/AKT signaling pathway. The key genes in the signaling pathway mainly include TP53, CASP3, MMP9, AKT1, PTGS2, and MAPK1. The results of differently expressed analysis of key genes showed that TP53, CASP3, MMP9, AKT1, PTGS2, and MAPK1 had statistical differences in lung squamous cell carcinoma (LUSC) compared with normal tissue
. In lung adenocarcinoma (LUAD), the expression of TP53, CASP3, MMP9, AKT1, and PTGS2 had statistical differences compared with normal tissue
, while the expression of MAPK1 had no statistical difference
. The results of survival analysis of key genes showed that AKT1, MAPK1, CASP3, MMP9, TP53, and PTGS2 had statistical differences in the OS or RFS of NSCLC patients
. In addition, the results of molecular docking indicated that the key genes and the main components have good docking activity. Conclusions. This study revealed the potential mechanism of ADI in the treatment of NSCLC with multipathways and multitargets and provided a scientific basis for the in-depth study of ADI in the treatment of NSCLC.
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48
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Chen R, Li J, Fujimoto J, Hong L, Hu X, Quek K, Tang M, Mitra A, Behrens C, Chow CW, Jiang P, Little LD, Gumbs C, Song X, Zhang J, Tan D, Heymach JV, Wistuba I, Futreal PA, Gibbons DL, Byers LA, Zhang J, Reuben A. Immunogenomic intertumor heterogeneity across primary and metastatic sites in a patient with lung adenocarcinoma. J Exp Clin Cancer Res 2022; 41:172. [PMID: 35546239 PMCID: PMC9092788 DOI: 10.1186/s13046-022-02361-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 04/10/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Lung cancer is the leading cause of cancer death, partially owing to its extensive heterogeneity. The analysis of intertumor heterogeneity has been limited by an inability to concurrently obtain tissue from synchronous metastases unaltered by multiple prior lines of therapy.
Methods
In order to study the relationship between genomic, epigenomic and T cell repertoire heterogeneity in a rare autopsy case from a 32-year-old female never-smoker with left lung primary late-stage lung adenocarcinoma (LUAD), we did whole-exome sequencing (WES), DNA methylation and T cell receptor (TCR) sequencing to characterize the immunogenomic landscape of one primary and 19 synchronous metastatic tumors.
Results
We observed heterogeneous mutation, methylation, and T cell patterns across distinct metastases. Only TP53 mutation was detected in all tumors suggesting an early event while other cancer gene mutations were later events which may have followed subclonal diversification. A set of prevalent T cell clonotypes were completely excluded from left-side thoracic tumors indicating distinct T cell repertoire profiles between left-side and non left-side thoracic tumors. Though a limited number of predicted neoantigens were shared, these were associated with homology of the T cell repertoire across metastases. Lastly, ratio of methylated neoantigen coding mutations was negatively associated with T-cell density, richness and clonality, suggesting neoantigen methylation may partially drive immunosuppression.
Conclusions
Our study demonstrates heterogeneous genomic and T cell profiles across synchronous metastases and how restriction of unique T cell clonotypes within an individual may differentially shape the genomic and epigenomic landscapes of synchronous lung metastases.
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Lin J, Liu J, Hao SG, Lan B, Zheng XB, Xiong JN, Zhang YQ, Gao X, Chen CB, Chen L, Huang YF, Luo H, Yi YT, Yi X, Lu JP, Zheng XW, Chen G, Wang XF, Chen Y. An EGFR L858R mutation identified in 1862 Chinese NSCLC patients can be a promising neoantigen vaccine therapeutic strategy. Front Immunol 2022; 13:1022598. [PMID: 36505399 PMCID: PMC9727402 DOI: 10.3389/fimmu.2022.1022598] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/28/2022] [Indexed: 11/24/2022] Open
Abstract
Background This study aimed to develop a vaccine that targets mutation-derived neoantigen in Chinese non-small-cell lung cancer (NSCLC). Methods A cohort of 1862 Chinese NSCLC patients who underwent targeted sequencing with a 1021-gene panel was investigated. HLA typing was done using OptiType v1.0 and neoantigens were predicted by netMHCpan v4.0. HLA LOH was inferred using the lohhla algorithm and TMB were quantified by counting the total number of non-synonymous ones based on our panel data. CIBERSORT was utilized to estimate the TME in different EGFR mutant subtype by using TCGA data. Results HLA-A*11:01(42.59%) was the top one allele and HLA-A*33:03(12.94%) ranked 12th. EGFR L858R (22.61%) was the most prevalent gene variant. The binding affinity (IC50 MT = 22.9 nM) and shared frequency (2.93%) of EGFR L858R in combination with HLA-A*33:03 were optimal. In a subsequent further analysis on immunological features of EGFR mutant subtypes, 63.1% HLA loss of heterozygosity LOH (HLA LOH) and 0.37% (7 of 1862) B2M aberrations were found in our population, both had no significant association with EGFR mutant subtypes suggesting that the process of antigen presentation involved HLA LOH and B2M mechanisms in EGFR L858R is working. Tumor mutation burden (TMB) was investigated by utilizing our panel and showed that EGFR L858R had the lowest TMB compared with other EGFR mutant subtypes. In addition, analysis of 22 immune cell types from The Cancer Genome Atlas (TCGA) data showed EGFR L858R was correlated with low level of CD8 T cells, activated CD4 memory T cells and elevated level of macrophage M2 suggesting an inhibited tumor microenvironment (TME). Conclusion Our study identified that EGFR L858R neoantigen had the potential to generate cancer vaccines in NSCLC patients with HLA A*33:03. The neoantigen-based vaccines may become an effective salvage regimen for EGFR L858R subgroup after targeted therapy or immune checkpoint inhibitors (ICIs) failure.
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Affiliation(s)
- Jing Lin
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jun Liu
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | | | - Bin Lan
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Tumor Biotherapy, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xiao-bin Zheng
- Fujian Provincial Key Laboratory of Tumor Biotherapy, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jia-ni Xiong
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | | | - Xuan Gao
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China,Department of Translational Medicine, GenePlus- Shenzhen Clinical Laboratory, ShenZhen, China
| | - Chuan-ben Chen
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Ling Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yu-fang Huang
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Hong Luo
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yu-ting Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Jian-ping Lu
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xiong-wei Zheng
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Gang Chen
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xue-feng Wang
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Tumor Biotherapy, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,The Third Affiliated Hospital of Soochow University, Institutes for Translational Medicine, Soochow University, Suzhou, China,*Correspondence: Yu Chen, ; Xue-feng Wang,
| | - Yu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,*Correspondence: Yu Chen, ; Xue-feng Wang,
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50
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Pan M, Li B. T cell receptor convergence is an indicator of antigen-specific T cell response in cancer immunotherapies. eLife 2022; 11:e81952. [PMID: 36350695 PMCID: PMC9683788 DOI: 10.7554/elife.81952] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/08/2022] [Indexed: 11/11/2022] Open
Abstract
T cells are potent at eliminating pathogens and playing a crucial role in the adaptive immune response. T cell receptor (TCR) convergence describes T cells that share identical TCRs with the same amino acid sequences but have different DNA sequences due to codon degeneracy. We conducted a systematic investigation of TCR convergence using single-cell immune profiling and bulk TCRβ-sequence (TCR-seq) data obtained from both mouse and human samples and uncovered a strong link between antigen-specificity and convergence. This association was stronger than T cell expansion, a putative indicator of antigen-specific T cells. By using flow-sorted tetramer+ single T cell data, we discovered that convergent T cells were enriched for a neoantigen-specific CD8+ effector phenotype in the tumor microenvironment. Moreover, TCR convergence demonstrated better prediction accuracy for immunotherapy response than the existing TCR repertoire indexes. In conclusion, convergent T cells are likely to be antigen-specific and might be a novel prognostic biomarker for anti-cancer immunotherapy.
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Affiliation(s)
- Mingyao Pan
- Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical CenterDallasUnited States
| | - Bo Li
- Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical CenterDallasUnited States
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