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Teillaud JL, Houel A, Panouillot M, Riffard C, Dieu-Nosjean MC. Tertiary lymphoid structures in anticancer immunity. Nat Rev Cancer 2024; 24:629-646. [PMID: 39117919 DOI: 10.1038/s41568-024-00728-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/02/2024] [Indexed: 08/10/2024]
Abstract
Tertiary lymphoid structures (TLS) are transient ectopic lymphoid aggregates where adaptive antitumour cellular and humoral responses can be elaborated. Initially described in non-small cell lung cancer as functional immune lymphoid structures associated with better clinical outcome, TLS have also been found in many other carcinomas, as well as melanomas and sarcomas, and associated with improved response to immunotherapy. The manipulation of TLS as a therapeutic strategy is now coming of age owing to the likely role of TLS in the improved survival of patients with cancer receiving immune checkpoint inhibitor treatment. TLS have also garnered considerable interest as a predictive biomarker of the response to antitumour therapies, including immune checkpoint blockade and, possibly, chemotherapy. However, several important questions still remain regarding the definition of TLS in terms of both their cellular composition and functions. Here, we summarize the current views on the composition of TLS at different stages of their development. We also discuss the role of B cells and T cells associated with TLS and their dialogue in mounting antibody and cellular antitumour responses, as well as some of the various mechanisms that negatively regulate antitumour activity of TLS. The prognostic value of TLS to the clinical outcome of patients with cancer and the relationship between TLS and the response to therapy are then addressed. Finally, we present some preclinical evidence that favours the idea that manipulating the formation and function of TLS could lead to a potent next-generation cancer immunotherapy.
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Affiliation(s)
- Jean-Luc Teillaud
- Sorbonne University UMRS1135, Paris, France
- Inserm U1135, Paris, France
- Center of Immunology and Microbial Infections (Cimi), Faculty of Health, Paris, France
| | - Ana Houel
- Sorbonne University UMRS1135, Paris, France
- Inserm U1135, Paris, France
- Center of Immunology and Microbial Infections (Cimi), Faculty of Health, Paris, France
- Transgene, Illkirch-Graffenstaden, France
| | - Marylou Panouillot
- Sorbonne University UMRS1135, Paris, France
- Inserm U1135, Paris, France
- Center of Immunology and Microbial Infections (Cimi), Faculty of Health, Paris, France
- Sanofi, Vitry-sur-Seine, France
| | - Clémence Riffard
- Sorbonne University UMRS1135, Paris, France
- Inserm U1135, Paris, France
- Center of Immunology and Microbial Infections (Cimi), Faculty of Health, Paris, France
| | - Marie-Caroline Dieu-Nosjean
- Sorbonne University UMRS1135, Paris, France.
- Inserm U1135, Paris, France.
- Center of Immunology and Microbial Infections (Cimi), Faculty of Health, Paris, France.
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2
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Harris MA, Savas P, Virassamy B, O'Malley MMR, Kay J, Mueller SN, Mackay LK, Salgado R, Loi S. Towards targeting the breast cancer immune microenvironment. Nat Rev Cancer 2024; 24:554-577. [PMID: 38969810 DOI: 10.1038/s41568-024-00714-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/31/2024] [Indexed: 07/07/2024]
Abstract
The tumour immune microenvironment is shaped by the crosstalk between cancer cells, immune cells, fibroblasts, endothelial cells and other stromal components. Although the immune tumour microenvironment (TME) serves as a source of therapeutic targets, it is also considered a friend or foe to tumour-directed therapies. This is readily illustrated by the importance of T cells in triple-negative breast cancer (TNBC), culminating in the advent of immune checkpoint therapy in combination with cytotoxic chemotherapy as standard of care for both early and advanced-stage TNBC, as well as recent promising signs of efficacy in a subset of hormone receptor-positive disease. In this Review, we discuss the various components of the immune TME in breast cancer and therapies that target or impact the immune TME, as well as the complexity of host physiology.
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Affiliation(s)
- Michael A Harris
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Peter Savas
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Balaji Virassamy
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Megan M R O'Malley
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Jasmine Kay
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Scott N Mueller
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, Victoria, Australia
| | - Laura K Mackay
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, Victoria, Australia
| | - Roberto Salgado
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Pathology, ZAS Ziekenhuizen, Antwerp, Belgium
| | - Sherene Loi
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia.
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
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Xie M, Lin X, Bao X, Liang Y, Deng H, Song J, Ma X, Zhang X, Yao J, Pan L, Xue X. Tertiary Lymphoid Structure in Tumor Microenvironment and Immunotherapy of Lung Cancer. Arch Bronconeumol 2024:S0300-2896(24)00285-0. [PMID: 39174437 DOI: 10.1016/j.arbres.2024.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/02/2024] [Accepted: 07/17/2024] [Indexed: 08/24/2024]
Abstract
Immune checkpoint inhibitors have opened an era of lung cancer therapy. However, a notable disparity exists in the efficacy of immunotherapy among individual patients. The tertiary lymphoid structure (TLS) is an ectopic lymphocyte aggregation that appears under pathological conditions and is the primary site of action for anti-tumor immunity. It is commonly reported that the presence of TLS within the tumor microenvironment (TME) relates to a favorable clinical prognosis and an excellent response to immunotherapy in lung cancer patients. A thorough understanding of TLS and its dynamic changes in TME has become an attractive focus for optimizing immunotherapy strategies for lung cancer. In this review, we comprehensively generalize the composition, formation, mechanism, detection methods of TLS, and summarize the role of TLS in lung cancer immunotherapy. Finally, induction of TLS is also discussed, which may provide more effective therapeutic strategies for lung cancer therapy.
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Affiliation(s)
- Mei Xie
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Xuwen Lin
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Xinyu Bao
- Department of Respiratory and Critical Care, Shandong Second Medical University, School of Clinical Medicine, Shandong Second Medical University, Weifang, People's Republic of China
| | - Yiran Liang
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Hui Deng
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Jialin Song
- Department of Respiratory and Critical Care, Shandong Second Medical University, School of Clinical Medicine, Shandong Second Medical University, Weifang, People's Republic of China
| | - Xidong Ma
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Xin Zhang
- Department of Respiratory and Critical Care, Shandong Second Medical University, School of Clinical Medicine, Shandong Second Medical University, Weifang, People's Republic of China
| | - Jie Yao
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Lei Pan
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China.
| | - Xinying Xue
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China.
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Chang Z, Xu Y, Dong X, Gao Y, Wang C. Single-cell and spatial multiomic inference of gene regulatory networks using SCRIPro. Bioinformatics 2024; 40:btae466. [PMID: 39024032 PMCID: PMC11288411 DOI: 10.1093/bioinformatics/btae466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/05/2024] [Accepted: 07/17/2024] [Indexed: 07/20/2024] Open
Abstract
MOTIVATION The burgeoning generation of single-cell or spatial multiomic data allows for the characterization of gene regulation networks (GRNs) at an unprecedented resolution. However, the accurate reconstruction of GRNs from sparse and noisy single-cell or spatial multiomic data remains challenging. RESULTS Here, we present SCRIPro, a comprehensive computational framework that robustly infers GRNs for both single-cell and spatial multi-omics data. SCRIPro first improves sample coverage through a density clustering approach based on multiomic and spatial similarities. Additionally, SCRIPro scans transcriptional regulator (TR) importance by performing chromatin reconstruction and in silico deletion analyses using a comprehensive reference covering 1,292 human and 994 mouse TRs. Finally, SCRIPro combines TR-target importance scores derived from multiomic data with TR-target expression levels to ensure precise GRN reconstruction. We benchmarked SCRIPro on various datasets, including single-cell multiomic data from human B-cell lymphoma, mouse hair follicle development, Stereo-seq of mouse embryos, and Spatial-ATAC-RNA from mouse brain. SCRIPro outperforms existing motif-based methods and accurately reconstructs cell type-specific, stage-specific, and region-specific GRNs. Overall, SCRIPro emerges as a streamlined and fast method capable of reconstructing TR activities and GRNs for both single-cell and spatial multi-omic data. AVAILABILITY SCRIPro is available at https://github.com/wanglabtongji/SCRIPro. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Zhanhe Chang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
- Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Yunfan Xu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
| | - Xin Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
| | - Yawei Gao
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
- Institute for Regenerative Medicine, Shanghai East Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
- Frontier Science Center for Stem Cell Research, Tongji University, Shanghai, China
- National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai 200120, China
- Frontier Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai 200120, China
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Tian W, Wei W, Qin G, Bao X, Tong X, Zhou M, Xue Y, Zhang Y, Shao Q. Lymphocyte homing and recirculation with tumor tertiary lymphoid structure formation: predictions for successful cancer immunotherapy. Front Immunol 2024; 15:1403578. [PMID: 39076974 PMCID: PMC11284035 DOI: 10.3389/fimmu.2024.1403578] [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: 03/19/2024] [Accepted: 07/01/2024] [Indexed: 07/31/2024] Open
Abstract
The capacity of lymphocytes continuously home to lymphoid structures is remarkable for cancer immunosurveillance and immunotherapy. Lymphocyte homing and recirculation within the tumor microenvironment (TME) are now understood to be adaptive processes that are regulated by specialized cytokines and adhesion molecule signaling cascades. Restricted lymphocyte infiltration and recirculation have emerged as key mechanisms contributing to poor responses in cancer immunotherapies like chimeric antigen receptor (CAR)-T cell therapy and immune checkpoint blockades (ICBs). Uncovering the kinetics of lymphocytes in tumor infiltration and circulation is crucial for improving immunotherapies. In this review, we discuss the current insights into the adhesive and migrative molecules involved in lymphocyte homing and transmigration. The potential mechanisms within the TME that restrain lymphocyte infiltration are also summarized. Advanced on these, we outline the determinates for tertiary lymphoid structures (TLSs) formation within tumors, placing high expectations on the prognostic values of TLSs as therapeutic targets in malignancies.
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Affiliation(s)
- Weihong Tian
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
- Life Science Institute, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Wangzhi Wei
- Life Science Institute, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Gaofeng Qin
- Life Science Institute, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Xuanwen Bao
- Department of Medical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University & Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Hangzhou, Zhejiang, China
| | - Xuecheng Tong
- Changzhou Third People’s Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Min Zhou
- Changzhou Third People’s Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Yuan Xue
- Changzhou Third People’s Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Yu Zhang
- Life Science Institute, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Qixiang Shao
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China
- Institute of Medical Genetics and Reproductive Immunity, School of Medical Science and Laboratory Medicine, Jiangsu College of Nursing, Huai’an, Jiangsu, China
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Song B, Wang K, Na S, Yao J, Fattah FJ, von Itzstein MS, Yang DM, Liu J, Xue Y, Liang C, Guo Y, Raman I, Zhu C, Dowell JE, Homsi J, Rashdan S, Yang S, Gwin ME, Hsiehchen D, Gloria-McCutchen Y, Raj P, Bai X, Wang J, Conejo-Garcia J, Xie Y, Gerber DE, Huang J, Wang T. Cmai: Predicting Antigen-Antibody Interactions from Massive Sequencing Data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.27.601035. [PMID: 39005456 PMCID: PMC11244862 DOI: 10.1101/2024.06.27.601035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The interaction between antigens and antibodies (B cell receptors, BCRs) is the key step underlying the function of the humoral immune system in various biological contexts. The capability to profile the landscape of antigen-binding affinity of a vast number of BCRs will provide a powerful tool to reveal novel insights at unprecedented levels and will yield powerful tools for translational development. However, current experimental approaches for profiling antibody-antigen interactions are costly and time-consuming, and can only achieve low-to-mid throughput. On the other hand, bioinformatics tools in the field of antibody informatics mostly focus on optimization of antibodies given known binding antigens, which is a very different research question and of limited scope. In this work, we developed an innovative Artificial Intelligence tool, Cmai, to address the prediction of the binding between antibodies and antigens that can be scaled to high-throughput sequencing data. Cmai achieved an AUROC of 0.91 in our validation cohort. We devised a biomarker metric based on the output from Cmai applied to high-throughput BCR sequencing data. We found that, during immune-related adverse events (irAEs) caused by immune-checkpoint inhibitor (ICI) treatment, the humoral immunity is preferentially responsive to intracellular antigens from the organs affected by the irAEs. In contrast, extracellular antigens on malignant tumor cells are inducing B cell infiltrations, and the infiltrating B cells have a greater tendency to co-localize with tumor cells expressing these antigens. We further found that the abundance of tumor antigen-targeting antibodies is predictive of ICI treatment response. Overall, Cmai and our biomarker approach filled in a gap that is not addressed by current antibody optimization works nor works such as AlphaFold3 that predict the structures of complexes of proteins that are known to bind.
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7
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Afzal MZ, Vahdat LT. Evolving Management of Breast Cancer in the Era of Predictive Biomarkers and Precision Medicine. J Pers Med 2024; 14:719. [PMID: 39063972 PMCID: PMC11278458 DOI: 10.3390/jpm14070719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 06/17/2024] [Accepted: 06/30/2024] [Indexed: 07/28/2024] Open
Abstract
Breast cancer is the most common cancer among women in the world as well as in the United States. Molecular and histological differentiation have helped clinicians optimize treatments with various therapeutics, including hormonal therapy, chemotherapy, immunotherapy, and radiation therapy. Recently, immunotherapy has become the standard of care in locally advanced triple-negative breast cancer and an option across molecular subtypes for tumors with a high tumor mutation burden. Despite the advancements in personalized medicine directing the management of localized and advanced breast cancers, the emergence of resistance to these therapies is the leading cause of death among breast cancer patients. Therefore, there is a critical need to identify and validate predictive biomarkers to direct treatment selection, identify potential responders, and detect emerging resistance to standard therapies. Areas of active scientific and clinical research include novel personalized and predictive biomarkers incorporating tumor microenvironment, tumor immune profiling, molecular characterization, and histopathological differentiation to predict response and the potential emergence of resistance.
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Affiliation(s)
- Muhammad Zubair Afzal
- Medical Oncology, Comprehensive Breast Program, Dartmouth Cancer Center, Lebanon, NH 03755, USA
| | - Linda T. Vahdat
- Medical Oncology and Hematology (Interim), Dartmouth Cancer Center, Lebanon, NH 03755, USA;
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Rodríguez-Bejarano OH, Parra-López C, Patarroyo MA. A review concerning the breast cancer-related tumour microenvironment. Crit Rev Oncol Hematol 2024; 199:104389. [PMID: 38734280 DOI: 10.1016/j.critrevonc.2024.104389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/29/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024] Open
Abstract
Breast cancer (BC) is currently the most common malignant tumour in women and one of the leading causes of their death around the world. New and increasingly personalised diagnostic and therapeutic tools have been introduced over the last few decades, along with significant advances regarding the study and knowledge related to BC. The tumour microenvironment (TME) refers to the tumour cell-associated cellular and molecular environment which can influence conditions affecting tumour development and progression. The TME is composed of immune cells, stromal cells, extracellular matrix (ECM) and signalling molecules secreted by these different cell types. Ever deeper understanding of TME composition changes during tumour development and progression will enable new and more innovative therapeutic strategies to become developed for targeting tumours during specific stages of its evolution. This review summarises the role of BC-related TME components and their influence on tumour progression and the development of resistance to therapy. In addition, an account on the modifications in BC-related TME components associated with therapy is given, and the completed or ongoing clinical trials related to this topic are presented.
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Affiliation(s)
- Oscar Hernán Rodríguez-Bejarano
- Health Sciences Faculty, Universidad de Ciencias Aplicadas y Ambientales (U.D.C.A), Calle 222#55-37, Bogotá 111166, Colombia; Molecular Biology and Immunology Department, Fundación Instituto de Inmunología de Colombia (FIDIC), Carrera 50#26-20, Bogotá 111321, Colombia; PhD Programme in Biotechnology, Faculty of Sciences, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia
| | - Carlos Parra-López
- Microbiology Department, Faculty of Medicine, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia.
| | - Manuel Alfonso Patarroyo
- Molecular Biology and Immunology Department, Fundación Instituto de Inmunología de Colombia (FIDIC), Carrera 50#26-20, Bogotá 111321, Colombia; Microbiology Department, Faculty of Medicine, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia.
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Yang J, Tang C, Li C, Li X, Yang W. Construction of an immune-related gene prognostic model with experimental validation and analysis of immune cell infiltration in lung adenocarcinoma. Oncol Lett 2024; 28:297. [PMID: 38751753 PMCID: PMC11094586 DOI: 10.3892/ol.2024.14430] [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: 12/19/2023] [Accepted: 03/15/2024] [Indexed: 05/18/2024] Open
Abstract
There is a correlation between tumors and immunity with the degree of immune cell infiltration in tumors being closely related to tumor growth and progression. Therefore, the present study identified immune-related prognostic genes and evaluated the immune infiltration level in lung adenocarcinoma (LUAD). This study performed Kyoto Encyclopedia of Genes and Genomes, Gene Ontology, and Gene Set Enrichment Analysis (GSEA) enrichment analyses on differential immune-associated genes. A risk model was created and validated using six immune-related prognostic genes. Reverse transcription-quantitative PCR was used to assess the prognostic gene expression in non-small cell lung cancer cells. Immune cell infiltration in LUAD was analyzed using the CIBERSORT method. Single sample GSEA was used to compare Tumor Immune Dysfunction and Exclusion (TIDE) scores between high and low-risk groups and to assess the activation of thirteen immune-related pathways. Multifactor Cox proportional hazards model analysis identified six prognostic risk genes (S100A16, FURIN, FGF2, LGR4, TNFRSF11A and VIPR1) to construct a risk model. The survival and receiver operating characteristic curves indicated that patients with higher risk scores had lower overall survival rates. The expression levels of prognostic genes S100A16, FURIN, LGR4, TNFRSF11A and VIPR1 were significantly increased in LUAD. B cells naive, plasma cells, T cells CD4 memory activated, T cells follicular helper, T cells regulatory, NK cells activated, macrophages M1, macrophages M2, and Dendritic cells resting cells showed elevated expression in LUAD. The prognostic genes were differentially associated with individual immune cells. Immune-related function scores, such as those for antigen presenting cell (APC) co-stimulation, APC co-inhibition, check-point, Cytolytic-activity, chemokine receptor, parainflammation, major histocompatibility complex-class-I, type-I-IFN-reponse and T-cell-co-inhibition, were higher in the high-risk group compared with the low-risk group. Furthermore, the TIDE score of the high-risk group was significantly lower than the low-risk group. This immune-related gene prognostic model has the potential to predict the prognosis of LUAD patients, supporting the development of a personalized clinical diagnosis and treatment plan.
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Affiliation(s)
- Jialei Yang
- Institute for Cancer Medicine, School of Basic Medicine Sciences, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China
- Department of Medical Laboratory Medicine, Dehong Prefecture People's Hospital of Yunnan Province, Mangshi, Yunnan 678400, P.R. China
| | - Chao Tang
- Institute for Cancer Medicine, School of Basic Medicine Sciences, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China
| | - Chengxia Li
- Institute for Cancer Medicine, School of Basic Medicine Sciences, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China
| | - Xuesen Li
- Institute for Cancer Medicine, School of Basic Medicine Sciences, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China
| | - Wenli Yang
- Institute for Cancer Medicine, School of Basic Medicine Sciences, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China
- Department of Biochemistry and Molecular Biology, School of Basic Medicine Sciences, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China
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10
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Gerashchenko T, Frolova A, Patysheva M, Fedorov A, Stakheyeva M, Denisov E, Cherdyntseva N. Breast Cancer Immune Landscape: Interplay Between Systemic and Local Immunity. Adv Biol (Weinh) 2024; 8:e2400140. [PMID: 38727796 DOI: 10.1002/adbi.202400140] [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: 03/12/2024] [Revised: 04/16/2024] [Indexed: 07/13/2024]
Abstract
Breast cancer (BC) is one of the most common malignancies in women worldwide. Numerous studies in immuno-oncology and successful trials of immunotherapy have demonstrated the causal role of the immune system in cancer pathogenesis. The interaction between the tumor and the immune system is known to have a dual nature. Despite cytotoxic lymphocyte activity against transformed cells, a tumor can escape immune surveillance and leverage chronic inflammation to maintain its own development. Research on antitumor immunity primarily focuses on the role of the tumor microenvironment, whereas the systemic immune response beyond the tumor site is described less thoroughly. Here, a comprehensive review of the formation of the immune profile in breast cancer patients is offered. The interplay between systemic and local immune reactions as self-sustaining mechanism of tumor progression is described and the functional activity of the main cell populations related to innate and adaptive immunity is discussed. Additionally, the interaction between different functional levels of the immune system and their contribution to the development of the pro- or anti-tumor immune response in BC is highlighted. The presented data can potentially inform the development of new immunotherapy strategies in the treatment of patients with BC.
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Affiliation(s)
- Tatiana Gerashchenko
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Anastasia Frolova
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Researc, Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
- Tomsk State University, 36 Lenin Ave., Tomsk, 634050, Russia
| | - Marina Patysheva
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Anton Fedorov
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Marina Stakheyeva
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Researc, Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Evgeny Denisov
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Nadezda Cherdyntseva
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Researc, Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
- Tomsk State University, 36 Lenin Ave., Tomsk, 634050, Russia
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11
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Guo YA, Kulshrestha T, Chang MM, Kassam I, Revkov E, Rizzetto S, Tan AC, Tan DS, Tan IB, Skanderup AJ. Transcriptome Deconvolution Reveals Absence of Cancer Cell Expression Signature in Immune Checkpoint Blockade Response. CANCER RESEARCH COMMUNICATIONS 2024; 4:1581-1596. [PMID: 38722600 PMCID: PMC11203396 DOI: 10.1158/2767-9764.crc-23-0442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 02/16/2024] [Accepted: 05/07/2024] [Indexed: 06/28/2024]
Abstract
Immune checkpoint therapy (ICB) has conferred significant and durable clinical benefit to some patients with cancer. However, most patients do not respond to ICB, and reliable biomarkers of ICB response are needed to improve patient stratification. Here, we performed a transcriptome-wide meta-analysis across 1,486 tumors from ICB-treated patients and tumors with expected ICB outcomes based on microsatellite status. Using a robust transcriptome deconvolution approach, we inferred cancer- and stroma-specific gene expression differences and identified cell-type specific features of ICB response across cancer types. Consistent with current knowledge, stromal expression of CXCL9, CXCL13, and IFNG were the top determinants of favorable ICB response. In addition, we identified a group of potential immune-suppressive genes, including FCER1A, associated with poor response to ICB. Strikingly, PD-L1 expression in stromal cells, but not cancer cells, is correlated with ICB response across cancer types. Furthermore, the unbiased transcriptome-wide analysis failed to identify cancer-cell intrinsic expression signatures of ICB response conserved across tumor types, suggesting that cancer cells lack tissue-agnostic transcriptomic features of ICB response. SIGNIFICANCE Our results challenge the prevailing dogma that cancer cells present tissue-agnostic molecular markers that modulate immune activity and ICB response, which has implications on the development of improved ICB diagnostics and treatments.
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Affiliation(s)
- Yu Amanda Guo
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
| | - Tanmay Kulshrestha
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
| | - Mei Mei Chang
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
| | - Irfahan Kassam
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
| | - Egor Revkov
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
- School of Computing, National University of Singapore, Computing 1, 13 Computing Drive, Singapore 117417, Republic of Singapore
| | - Simone Rizzetto
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
| | - Aaron C. Tan
- Department of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
| | - Daniel S.W. Tan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
- Department of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
| | - Iain Beehuat Tan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
- Department of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
| | - Anders J. Skanderup
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, #02-01 Genome, Singapore 138672, Republic of Singapore
- School of Computing, National University of Singapore, Computing 1, 13 Computing Drive, Singapore 117417, Republic of Singapore
- Department of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
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12
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Otterlei Fjørtoft M, Huse K, Rye IH. The Tumor Immune Microenvironment in Breast Cancer Progression. Acta Oncol 2024; 63:359-367. [PMID: 38779867 PMCID: PMC11332517 DOI: 10.2340/1651-226x.2024.33008] [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: 12/01/2023] [Accepted: 02/12/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND The tumor microenvironment significantly influences breast cancer development, progression, and metastasis. Various immune cell populations, including T cells, B cells, NK cells, and myeloid cells exhibit diverse functions in different breast cancer subtypes, contributing to both anti-tumor and pro-tumor activities. PURPOSE This review provides an overview of the predominant immune cell populations in breast cancer subtypes, elucidating their suppressive and prognostic effects. We aim to outline the role of the immune microenvironment from normal breast tissue to invasive cancer and distant metastasis. METHODS A comprehensive literature review was conducted to analyze the involvement of immune cells throughout breast cancer progression. RESULTS In breast cancer, tumors exhibit increased immune cell infiltration compared to normal tissue. Variations exist across subtypes, with higher levels observed in triple-negative and HER2+ tumors are linked to better survival. In contrast, ER+ tumors display lower immune infiltration, associated with poorer outcomes. Furthermore, metastatic sites commonly exhibit a more immunosuppressive microenvironment. CONCLUSION Understanding the complex interaction between tumor and immune cells during breast cancer progression is essential for future research and the development of immune-based strategies. This comprehensive understanding may pave the way for more effective treatment approaches and improved patients outcomes.
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Affiliation(s)
- Marit Otterlei Fjørtoft
- Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Radium Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kanutte Huse
- Department of Cancer Immunology, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Radium Hospital, Oslo, Norway
| | - Inga Hansine Rye
- Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Radium Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
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13
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Agrawal P, Jain N, Gopalan V, Timon A, Singh A, Rajagopal PS, Hannenhalli S. Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in triple negative breast cancer. iScience 2024; 27:109752. [PMID: 38699227 PMCID: PMC11063905 DOI: 10.1016/j.isci.2024.109752] [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: 09/18/2023] [Revised: 03/18/2024] [Accepted: 04/12/2024] [Indexed: 05/05/2024] Open
Abstract
Breast cancers (BRCA) exhibit substantial transcriptional heterogeneity, posing a significant clinical challenge. The global transcriptional changes in a disease context, however, are likely mediated by few key genes which reflect disease etiology better than the differentially expressed genes (DEGs). We apply our network-based tool PathExt to 1,059 BRCA tumors across 4 subtypes to identify key mediator genes in each subtype. Compared to conventional differential expression analysis, PathExt-identified genes exhibit greater concordance across tumors, revealing shared and subtype-specific biological processes; better recapitulate BRCA-associated genes in multiple benchmarks, and are more essential in BRCA subtype-specific cell lines. Single-cell transcriptomic analysis reveals a subtype-specific distribution of PathExt-identified genes in multiple cell types from the tumor microenvironment. Application of PathExt to a TNBC chemotherapy response dataset identified subtype-specific key genes and biological processes associated with resistance. We described putative drugs that target key genes potentially mediating drug resistance.
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Affiliation(s)
- Piyush Agrawal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Vishaka Gopalan
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Annan Timon
- University of Pennsylvania, Philadelphia, PA, USA
| | - Arashdeep Singh
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Padma S. Rajagopal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
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14
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Bugakova AS, Chudakova DA, Myzina MS, Yanysheva EP, Ozerskaya IV, Soboleva AV, Baklaushev VP, Yusubalieva GM. Non-Tumor Cells within the Tumor Microenvironment-The "Eminence Grise" of the Glioblastoma Pathogenesis and Potential Targets for Therapy. Cells 2024; 13:808. [PMID: 38786032 PMCID: PMC11119139 DOI: 10.3390/cells13100808] [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: 04/04/2024] [Revised: 04/26/2024] [Accepted: 04/30/2024] [Indexed: 05/25/2024] Open
Abstract
Glioblastoma (GBM) is the most common malignancy of the central nervous system in adults. GBM has high levels of therapy failure and its prognosis is usually dismal. The phenotypic heterogeneity of the tumor cells, dynamic complexity of non-tumor cell populations within the GBM tumor microenvironment (TME), and their bi-directional cross-talk contribute to the challenges of current therapeutic approaches. Herein, we discuss the etiology of GBM, and describe several major types of non-tumor cells within its TME, their impact on GBM pathogenesis, and molecular mechanisms of such an impact. We also discuss their value as potential therapeutic targets or prognostic biomarkers, with reference to the most recent works on this subject. We conclude that unless all "key player" populations of non-tumor cells within the TME are considered, no breakthrough in developing treatment for GBM can be achieved.
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Affiliation(s)
- Aleksandra S. Bugakova
- Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 117513 Moscow, Russia
| | - Daria A. Chudakova
- Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 117513 Moscow, Russia
| | - Maria S. Myzina
- Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 117513 Moscow, Russia
| | - Elvira P. Yanysheva
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
| | - Iuliia V. Ozerskaya
- Pulmonology Research Institute, Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
| | - Alesya V. Soboleva
- Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 117513 Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
| | - Vladimir P. Baklaushev
- Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 117513 Moscow, Russia
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
- Pulmonology Research Institute, Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
- Department of Medical Nanobiotechnology of Medical and Biological Faculty, Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, 117997 Moscow, Russia
| | - Gaukhar M. Yusubalieva
- Federal Center for Brain and Neurotechnologies, Federal Medical and Biological Agency of Russia, 117513 Moscow, Russia
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
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15
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Kotliar D, Curtis M, Agnew R, Weinand K, Nathan A, Baglaenko Y, Zhao Y, Sabeti PC, Rao DA, Raychaudhuri S. Reproducible single cell annotation of programs underlying T-cell subsets, activation states, and functions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.03.592310. [PMID: 38746317 PMCID: PMC11092745 DOI: 10.1101/2024.05.03.592310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
T-cells recognize antigens and induce specialized gene expression programs (GEPs) enabling functions including proliferation, cytotoxicity, and cytokine production. Traditionally, different classes of helper T-cells express mutually exclusive responses - for example, Th1, Th2, and Th17 programs. However, new single-cell RNA sequencing (scRNA-Seq) experiments have revealed a continuum of T-cell states without discrete clusters corresponding to these subsets, implying the need for new analytical frameworks. Here, we advance the characterization of T-cells with T-CellAnnoTator (TCAT), a pipeline that simultaneously quantifies pre-defined GEPs capturing activation states and cellular subsets. From 1,700,000 T-cells from 700 individuals across 38 tissues and five diverse disease contexts, we discover 46 reproducible GEPs reflecting the known core functions of T-cells including proliferation, cytotoxicity, exhaustion, and T helper effector states. We experimentally characterize several novel activation programs and apply TCAT to describe T-cell activation and exhaustion in Covid-19 and cancer, providing insight into T-cell function in these diseases.
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Affiliation(s)
- Dylan Kotliar
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA
| | - Michelle Curtis
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ryan Agnew
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kathryn Weinand
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Aparna Nathan
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Yuriy Baglaenko
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Center for Autoimmune Genetics and Etiology and Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, OH 45219, USA
| | - Yu Zhao
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Pardis C. Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Organismic and Evolutionary Biology, FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Deepak A. Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
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16
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Sammut SJ, Galson JD, Minter R, Sun B, Chin SF, De Mattos-Arruda L, Finch DK, Schätzle S, Dias J, Rueda OM, Seoane J, Osbourn J, Caldas C, Bashford-Rogers RJM. Predictability of B cell clonal persistence and immunosurveillance in breast cancer. Nat Immunol 2024; 25:916-924. [PMID: 38698238 PMCID: PMC11065701 DOI: 10.1038/s41590-024-01821-0] [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: 02/20/2024] [Accepted: 03/15/2024] [Indexed: 05/05/2024]
Abstract
B cells and T cells are important components of the adaptive immune system and mediate anticancer immunity. The T cell landscape in cancer is well characterized, but the contribution of B cells to anticancer immunosurveillance is less well explored. Here we show an integrative analysis of the B cell and T cell receptor repertoire from individuals with metastatic breast cancer and individuals with early breast cancer during neoadjuvant therapy. Using immune receptor, RNA and whole-exome sequencing, we show that both B cell and T cell responses seem to coevolve with the metastatic cancer genomes and mirror tumor mutational and neoantigen architecture. B cell clones associated with metastatic immunosurveillance and temporal persistence were more expanded and distinct from site-specific clones. B cell clonal immunosurveillance and temporal persistence are predictable from the clonal structure, with higher-centrality B cell antigen receptors more likely to be detected across multiple metastases or across time. This predictability was generalizable across other immune-mediated disorders. This work lays a foundation for prioritizing antibody sequences for therapeutic targeting in cancer.
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MESH Headings
- Humans
- Female
- Breast Neoplasms/immunology
- B-Lymphocytes/immunology
- Immunologic Surveillance
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/metabolism
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/immunology
- T-Lymphocytes/immunology
- Monitoring, Immunologic
- Exome Sequencing
- Antigens, Neoplasm/immunology
- Neoplasm Metastasis
- Clone Cells
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Affiliation(s)
- Stephen-John Sammut
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.
- The Royal Marsden Hospital NHS Foundation Trust, London, UK.
| | | | | | - Bo Sun
- Wellcome Centre for Human Genetics, Oxford, UK
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - Suet-Feung Chin
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Leticia De Mattos-Arruda
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | | | | | | | - Oscar M Rueda
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Joan Seoane
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Institució Catalana de Recerca i Estudis Avançats (ICREA), Universitat Autònoma de Barcelona (UAB), CIBERONC, Barcelona, Spain
| | | | - Carlos Caldas
- School of Clinical Medicine, University of Cambridge, Cambridge, UK.
| | - Rachael J M Bashford-Rogers
- Wellcome Centre for Human Genetics, Oxford, UK.
- Department of Biochemistry, University of Oxford, Oxford, UK.
- Oxford Cancer Centre, Oxford, UK.
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17
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Chen P, Chu Y, Liu R. Tumour-reactive plasma cells in antitumour immunity: current insights and future prospects. IMMUNOTHERAPY ADVANCES 2024; 4:ltae003. [PMID: 38736973 PMCID: PMC11088280 DOI: 10.1093/immadv/ltae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 04/24/2024] [Indexed: 05/14/2024] Open
Abstract
Tumour-reactive plasma cells (TRPCs) have been reported to be positively associated with the long-term survival of patients with various cancers. However, unlike tumour-specific antigen (TSA)-induced T cells which have precise effects against tumours, plasma cells require TSA to obtain specific responses. Therefore, the search for a TSA suitable for B-cell recognition is urgent. In this review, we discuss the functions of tumour-reactive plasma cells. Further, this review also explores the concept of screening for neoantigen-reactive plasma cells, drawing inspiration from T-cell screening methods. While challenges exist, such as epitope prediction and efficient screening, the development of novel techniques may lead to the discovery of highly specific plasma cells for adoptive cell therapy. In conclusion, tumour-reactive plasma cells are emerging as powerful players in cancer immunotherapy. Their ability to produce antibodies against a variety of antigens, especially neoantigens, opens new avenues for personalised treatments. Overcoming challenges in epitope prediction and screening will be crucial in harnessing the full potential of these plasma cells for the benefit of cancer patients.
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Affiliation(s)
- Peng Chen
- Shanghai Fifth People’s Hospital and Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Yiwei Chu
- Department of Immunology, School of Basic Medical Sciences, and MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, Fudan University, Shanghai, China
| | - Ronghua Liu
- Shanghai Fifth People’s Hospital and Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
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18
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Lu Y, Chen QM, An L. SPADE: spatial deconvolution for domain specific cell-type estimation. Commun Biol 2024; 7:469. [PMID: 38632414 PMCID: PMC11024133 DOI: 10.1038/s42003-024-06172-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: 06/06/2023] [Accepted: 04/10/2024] [Indexed: 04/19/2024] Open
Abstract
Understanding gene expression in different cell types within their spatial context is a key goal in genomics research. SPADE (SPAtial DEconvolution), our proposed method, addresses this by integrating spatial patterns into the analysis of cell type composition. This approach uses a combination of single-cell RNA sequencing, spatial transcriptomics, and histological data to accurately estimate the proportions of cell types in various locations. Our analyses of synthetic data have demonstrated SPADE's capability to discern cell type-specific spatial patterns effectively. When applied to real-life datasets, SPADE provides insights into cellular dynamics and the composition of tumor tissues. This enhances our comprehension of complex biological systems and aids in exploring cellular diversity. SPADE represents a significant advancement in deciphering spatial gene expression patterns, offering a powerful tool for the detailed investigation of cell types in spatial transcriptomics.
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Affiliation(s)
- Yingying Lu
- Interdisciplinary Program in Statistics and Data Science, University of Arizona, Tucson, AZ, 85721, USA
| | - Qin M Chen
- College of Pharmacy, University of Arizona, Tucson, AZ, 85721, USA
| | - Lingling An
- Interdisciplinary Program in Statistics and Data Science, University of Arizona, Tucson, AZ, 85721, USA.
- Department of Biosystems Engineering, University of Arizona, Tucson, AZ, 85721, USA.
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, 85721, USA.
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19
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Petroni G, Pillozzi S, Antonuzzo L. Exploiting Tertiary Lymphoid Structures to Stimulate Antitumor Immunity and Improve Immunotherapy Efficacy. Cancer Res 2024; 84:1199-1209. [PMID: 38381540 PMCID: PMC11016894 DOI: 10.1158/0008-5472.can-23-3325] [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: 10/23/2023] [Revised: 01/04/2024] [Accepted: 02/19/2024] [Indexed: 02/23/2024]
Abstract
Tumor-associated tertiary lymphoid structures (TLS) have been associated with favorable clinical outcomes and response to immune checkpoint inhibitors in many cancer types, including non-small cell lung cancer. Although the detailed cellular and molecular mechanisms underlying these clinical associations have not been fully elucidated, growing preclinical and clinical studies are helping to elucidate the mechanisms at the basis of TLS formation, composition, and regulation of immune responses. However, a major challenge remains how to exploit TLS to enhance naïve and treatment-mediated antitumor immune responses. Here, we discuss the current understanding of tumor-associated TLS, preclinical models that can be used to study them, and potential therapeutic interventions to boost TLS formation, with a particular focus on lung cancer research.
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Affiliation(s)
- Giulia Petroni
- Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy
| | - Serena Pillozzi
- Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Firenze, Italy
| | - Lorenzo Antonuzzo
- Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy
- Clinical Oncology Unit, Careggi University Hospital, Firenze, Italy
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20
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Rodríguez-Zhurbenko N, Hernández AM. The role of B-1 cells in cancer progression and anti-tumor immunity. Front Immunol 2024; 15:1363176. [PMID: 38629061 PMCID: PMC11019000 DOI: 10.3389/fimmu.2024.1363176] [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: 12/29/2023] [Accepted: 03/14/2024] [Indexed: 04/19/2024] Open
Abstract
In recent years, in addition to the well-established role of T cells in controlling or promoting tumor growth, a new wave of research has demonstrated the active involvement of B cells in tumor immunity. B-cell subsets with distinct phenotypes and functions play various roles in tumor progression. Plasma cells and activated B cells have been linked to improved clinical outcomes in several types of cancer, whereas regulatory B cells have been associated with disease progression. However, we are only beginning to understand the role of a particular innate subset of B cells, referred to as B-1 cells, in cancer. Here, we summarize the characteristics of B-1 cells and review their ability to infiltrate tumors. We also describe the potential mechanisms through which B-1 cells suppress anti-tumor immune responses and promote tumor progression. Additionally, we highlight recent studies on the protective anti-tumor function of B-1 cells in both mouse models and humans. Understanding the functions of B-1 cells in tumor immunity could pave the way for designing more effective cancer immunotherapies.
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Affiliation(s)
- Nely Rodríguez-Zhurbenko
- Immunobiology Department, Immunology and Immunotherapy Division, Center of Molecular Immunology, Habana, Cuba
| | - Ana M. Hernández
- Applied Genetics Group, Department of Biochemistry, Faculty of Biology, University of Habana, Habana, Cuba
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21
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Li C, Clauson R, Bugada LF, Ke F, He B, Yu Z, Chen H, Jacobovitz B, Hu H, Chuikov P, Hill BD, Rizvi SM, Song Y, Sun K, Axenov P, Huynh D, Wang X, Garmire L, Lei YL, Grigorova I, Wen F, Cascalho M, Gao W, Sun D. Antigen-Clustered Nanovaccine Achieves Long-Term Tumor Remission by Promoting B/CD 4 T Cell Crosstalk. ACS NANO 2024; 18:9584-9604. [PMID: 38513119 PMCID: PMC11130742 DOI: 10.1021/acsnano.3c13038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Current cancer vaccines using T cell epitopes activate antitumor T cell immunity through dendritic cell/macrophage-mediated antigen presentation, but they lack the ability to promote B/CD4 T cell crosstalk, limiting their anticancer efficacy. We developed antigen-clustered nanovaccine (ACNVax) to achieve long-term tumor remission by promoting B/CD4 T cell crosstalk. The topographic features of ACNVax were achieved using an iron nanoparticle core attached with an optimal number of gold nanoparticles, where the clusters of HER2 B/CD4 T cell epitopes were conjugated on the gold surface with an optimal intercluster distance of 5-10 nm. ACNVax effectively trafficked to lymph nodes and cross-linked with BCR, which are essential for stimulating B cell antigen presentation-mediated B/CD4 T cell crosstalk in vitro and in vivo. ACNVax, combined with anti-PD-1, achieved long-term tumor remission (>200 days) with 80% complete response in mice with HER2+ breast cancer. ACNVax not only remodeled the tumor immune microenvironment but also induced a long-term immune memory, as evidenced by complete rejection of tumor rechallenge and a high level of antigen-specific memory B, CD4, and CD8 cells in mice (>200 days). This study provides a cancer vaccine design strategy, using B/CD4 T cell epitopes in an antigen clustered topography, to achieve long-term durable anticancer efficacy through promoting B/CD4 T cell crosstalk.
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Affiliation(s)
- Chengyi Li
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Ryan Clauson
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Luke F Bugada
- Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Fang Ke
- Department of Microbiology and Immunology, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Bing He
- Department of Computational Medicine & Bioinformatics, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Zhixin Yu
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Hongwei Chen
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Binyamin Jacobovitz
- Microscopy Core, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Hongxiang Hu
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Polina Chuikov
- Department of Microbiology and Immunology, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Brett Dallas Hill
- Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Syed M Rizvi
- Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Yudong Song
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Kai Sun
- Department of Materials Science and Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Pasieka Axenov
- Department of Microbiology and Immunology, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Daniel Huynh
- Department of Microbiology and Immunology, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Xinyi Wang
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Lana Garmire
- Department of Computational Medicine & Bioinformatics, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Yu Leo Lei
- Departments of Head and Neck Surgery, Cancer Biology, and Translational Molecular Pathology, the University of Texas M.D. Anderson Cancer Center, Houston, Texas 77054, United States
| | - Irina Grigorova
- Department of Microbiology and Immunology, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Fei Wen
- Department of Chemical Engineering, College of Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Marilia Cascalho
- Department of Microbiology and Immunology, Medical School, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Wei Gao
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Duxin Sun
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109, United States
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22
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Sun XY, Wang CQ, Mao Y, Zhang ZQ, Cui J, Dong XN, Wang HB. Prognostic value and distribution pattern of tumor infiltrating lymphocytes and their subsets in distant metastases of advanced breast cancer. Clin Breast Cancer 2024; 24:e167-e176. [PMID: 38212189 DOI: 10.1016/j.clbc.2023.12.011] [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: 08/26/2023] [Revised: 11/09/2023] [Accepted: 12/29/2023] [Indexed: 01/13/2024]
Abstract
BACKGROUND There are significant correlations between the levels of tumor infiltrating lymphocytes (TILs) and the prognosis of primary breast cancer. While little is known about immunological mechanisms in the distant metastasis of advanced breast cancer. PATIENTS AND METHODS A total of 106 patients with advanced metastatic breast cancer were enrolled in this study between 2016 and 2022. Hematoxylin and eosin staining and immunohistochemistry were used to assess the densities of stromal TILs (sTILs), intratumoral TILs (iTILs) and invasive marginal TILs (imTILs) and CD4+, CD8+, CD20+, FOXP3+ TILs in the primary tumor and metastasis (bone, lung, liver, and distant lymph node) of advanced breast cancer. RESULTS Higher levels of sTILs at metastatic sites were associated with better progression-free survival (PFS), postmetastasis survival (PMS) and overall survival (OS) (p = .026, .001 and .005, respectively). The levels of iTILs were significantly lower than those of sTILs and imTILs in both primary tumor (p< .001, both) and metastasis (p< .001, both). The level of CD4+ T cells was higher than those of CD8+ T cells and CD20+ B cells in both primary tumor (p < .001) and metastasis (p < .001). The levels of sTILs (p=0. 001) and imTILs (p< .001) in the primary tumor were generally higher than those in the metastasis. CONCLUSION The levels of TILs and their subsets can predict the survival and prognosis of patients with advanced breast cancer. The distributions of TILs and their subsets are similar between the primary tumor and metastasis. The metastases have a lower degree of lymphocytes infiltration than its corresponding primary tumor.
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Affiliation(s)
- Xin-Yi Sun
- Department of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China
| | - Cheng-Qin Wang
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China
| | - Yan Mao
- Department of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China
| | - Zhen-Qi Zhang
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China
| | - Jian Cui
- Department of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China
| | - Xian-Ning Dong
- Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China
| | - Hai-Bo Wang
- Department of Breast Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China.
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23
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Mandal G, Pradhan S. B cell responses and antibody-based therapeutic perspectives in human cancers. Cancer Rep (Hoboken) 2024; 7:e2056. [PMID: 38522010 PMCID: PMC10961090 DOI: 10.1002/cnr2.2056] [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: 11/30/2023] [Revised: 02/26/2024] [Accepted: 03/09/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Immuno-oncology has been focused on T cell-centric approaches until the field recently started appreciating the importance of tumor-reactive antibody production by tumor-infiltrating plasma B cells, and the necessity of developing novel therapeutic antibodies for the treatment of different cancers. RECENT FINDINGS B lymphocytes often infiltrate solid tumors and the extent of B cell infiltration normally correlates with stronger T cell responses while generating humoral responses against malignant progression by producing tumor antigens-reactive antibodies that bind and coat the tumor cells and promote cytotoxic effector mechanisms, reiterating the fact that the adaptive immune system works by coordinated humoral and cellular immune responses. Isotypes, magnitude, and the effector functions of antibodies produced by the B cells within the tumor environment differ among cancer types. Interestingly, apart from binding with specific tumor antigens, antibodies produced by tumor-infiltrating B cells could bind to some non-specific receptors, peculiarly expressed by cancer cells. Antibody-based immunotherapies have revolutionized the modalities of cancer treatment across the world but are still limited against hematological malignancies and a few types of solid tumor cancers with a restricted number of targets, which necessitates the expansion of the field to have newer effective targeted antibody therapeutics. CONCLUSION Here, we discuss about recent understanding of the protective spontaneous antitumor humoral responses in human cancers, with an emphasis on the advancement and future perspectives of antibody-based immunotherapies in cancer.
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Affiliation(s)
- Gunjan Mandal
- Division of Cancer BiologyDBT‐Institute of Life SciencesBhubaneswarIndia
| | - Suchismita Pradhan
- Division of Cancer BiologyDBT‐Institute of Life SciencesBhubaneswarIndia
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24
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Chandnani N, Gupta I, Mandal A, Sarkar K. Participation of B cell in immunotherapy of cancer. Pathol Res Pract 2024; 255:155169. [PMID: 38330617 DOI: 10.1016/j.prp.2024.155169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 01/21/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
Even though their effector roles extend beyond conventional humoral immunity, B and plasma cells may exhibit antitumor effects through antibody-dependent cell cytotoxicity (ADCC) and activation of the complement cascade. Depending on whether they are positioned in immature or mature compartments termed tertiary lymphoid structures (TLS), which include T cells, B cells are believed to play numerous functions in modulating the immune system's capacity to destroy cancer cells. These formations represent a process of lymphoid neogenesis that takes place in peripheral tissues in response to prolonged exposure to inflammatory signals. Activated in the germinal centres of tertiary lymphoid structures, B cells may directly present tumor-associated antigens to T cells, make antibodies that enhance antigen presentation to T cells, or kill tumour cells, resulting in a favourable therapeutic effect. Immune complexes may also enhance inflammation, angiogenesis, and immunosuppression via the activation of macrophages and complement, resulting in detrimental effects. The functional variety of B-cell subsets includes professional antigen-presenting cells, regulatory cells, memory populations, and plasma cells that produce antibodies. Importantly, antibodies may independently generate innate immune responses and the cancer immunity cycle. B cells and B-cell-mediated antibody responses constitute the largely underestimated second arm of the adaptive immune system and unquestionably need more consideration in cancer. This article reviews the known roles of B lymphocytes in the tumour microenvironment, their contribution to anticancer activity of immunotherapies, and their significance in overall survival of cancer patients. In addition to producing antibodies, B cells regulate the immune system and serve as effective antigen-presenting cells.
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Affiliation(s)
- Nikhil Chandnani
- Department of Biotechnology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India
| | - Ishika Gupta
- Department of Biotechnology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India
| | - Ayush Mandal
- Department of Biotechnology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India
| | - Koustav Sarkar
- Department of Biotechnology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India.
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25
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Padonou F, Vanhulst T, Langouo-Fontsa MD. Can we yet use tertiary lymphoid structures as predictive biomarkers for immunotherapy response in melanoma? Curr Opin Oncol 2024; 36:63-68. [PMID: 38441065 DOI: 10.1097/cco.0000000000001015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
PURPOSE OF REVIEW In this review, we explore the potential of tertiary lymphoid structures (TLS) as predictive biomarkers in the response to immunotherapy for melanoma patients. RECENT FINDINGS The significance of TLS as indicators predicting immunotherapy response becomes particularly pronounced. Melanoma, renowned for its aggressive characteristics, has undergone revolutionary transformations in treatment through immunotherapeutic interventions. Investigations have unveiled a compelling correlation between the presence of TLS in the melanoma tumor microenvironment and favorable responses to immunotherapy. These responses, characterized by heightened survival rates and improved clinical outcomes, imply that TLS might be pivotal in tailoring more efficient and personalized treatments for individuals with melanoma. The ongoing discourse regarding TLS as a predictive biomarker underscores the need for a meticulous examination of its potential in guiding clinical decisions and optimizing therapeutic strategies. SUMMARY TLS show great promises as potential biomarkers to melanoma patient's outcomes in ICI treatment; however, more studies are needed to understand their mechanisms of actions and the long-term impact of their functionality.
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Affiliation(s)
- Francine Padonou
- Molecular Immunology Laboratory, Institut Jules Bordet, Université Libre de Bruxelles, Brussels (Anderlecht), Belgium
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26
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Jahangir CA, Page DB, Broeckx G, Gonzalez CA, Burke C, Murphy C, Reis-Filho JS, Ly A, Harms PW, Gupta RR, Vieth M, Hida AI, Kahila M, Kos Z, van Diest PJ, Verbandt S, Thagaard J, Khiroya R, Abduljabbar K, Haab GA, Acs B, Adams S, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, Baharun NB, Bellolio ER, Bheemaraju V, Blenman KRM, Fujimoto LBM, Burgues O, Chardas A, Cheang MCU, Ciompi F, Cooper LAD, Coosemans A, Corredor G, Portela FLD, Deman F, Demaria S, Dudgeon SN, Elghazawy M, Fernandez-Martín C, Fineberg S, Fox SB, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hewitt S, Horlings HM, Husain Z, Irshad S, Janssen EAM, Kataoka TR, Kawaguchi K, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Akturk G, Scott E, Kovács A, Lænkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Madabhushi A, Maley SK, Narasimhamurthy VM, Marks DK, McDonald ES, Mehrotra R, Michiels S, Kharidehal D, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rajpoot NM, Rapoport BL, Rau TT, Ribeiro JM, Rimm D, Vincent-Salomon A, Saltz J, Sayed S, Hytopoulos E, Mahon S, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, Verghese GE, Viale G, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Stovgaard ES, Salgado R, Gallagher WM, Rahman A. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer. J Pathol 2024; 262:271-288. [PMID: 38230434 PMCID: PMC11288342 DOI: 10.1002/path.6238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/17/2023] [Indexed: 01/18/2024]
Abstract
Recent advances in the field of immuno-oncology have brought transformative changes in the management of cancer patients. The immune profile of tumours has been found to have key value in predicting disease prognosis and treatment response in various cancers. Multiplex immunohistochemistry and immunofluorescence have emerged as potent tools for the simultaneous detection of multiple protein biomarkers in a single tissue section, thereby expanding opportunities for molecular and immune profiling while preserving tissue samples. By establishing the phenotype of individual tumour cells when distributed within a mixed cell population, the identification of clinically relevant biomarkers with high-throughput multiplex immunophenotyping of tumour samples has great potential to guide appropriate treatment choices. Moreover, the emergence of novel multi-marker imaging approaches can now provide unprecedented insights into the tumour microenvironment, including the potential interplay between various cell types. However, there are significant challenges to widespread integration of these technologies in daily research and clinical practice. This review addresses the challenges and potential solutions within a structured framework of action from a regulatory and clinical trial perspective. New developments within the field of immunophenotyping using multiplexed tissue imaging platforms and associated digital pathology are also described, with a specific focus on translational implications across different subtypes of cancer. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Chowdhury Arif Jahangir
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - David B Page
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, OR, USA
| | - Glenn Broeckx
- Department of Pathology PA, GZA-ZNA Hospitals, Antwerp, Belgium
- Centre for Oncological Research (CORE), MIPPRO, Faculty of Medicine, Antwerp University, Antwerp, Belgium
| | - Claudia A Gonzalez
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Caoimbhe Burke
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Clodagh Murphy
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy Ly
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Paul W Harms
- Departments of Pathology and Dermatology, University of Michigan, Ann Arbor, Ml, USA
| | - Rajarsi R Gupta
- Department of Biomedical informatics, Stony Brook University, Stony Brook, NY, USA
| | - Michael Vieth
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Akira I Hida
- Department of Pathology, Matsuyama Shimin Hospital, Matsuyama, Japan
| | - Mohamed Kahila
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Zuzana Kos
- Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer, Vancouver, British Columbia, Canada
| | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
- Johns Hopkins Oncology Center, Baltimore, MD, USA
| | - Sara Verbandt
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jeppe Thagaard
- Technical University of Denmark, Kgs. Lyngby, Denmark
- Visiopharm A/S, Hørsholm, Denmark
| | - Reena Khiroya
- Department of Cellular Pathology, University College Hospital, London, UK
| | - Khalid Abduljabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | | | - Balazs Acs
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Sylvia Adams
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
- Department of Medicine, NYU Grossman School of Medicine, Manhattan, NY, USA
| | - Jonas S Almeida
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA
| | | | | | - Sunil Badve
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Emory University Winship Cancer Institute, Atlanta, GA, USA
| | | | - Enrique R Bellolio
- Departamento de Anatomía Patológica, Facultad de Medicina, Universidad de La Frontera, Temuco, Chile
| | | | - Kim RM Blenman
- Department of internal Medicine Section of Medical Oncology and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Department of Computer Science, Yale School of Engineering and Applied Science, New Haven, CT, USA
| | | | - Octavio Burgues
- Pathology Department, Hospital Cliníco Universitario de Valencia/lncliva, Valencia, Spain
| | - Alexandros Chardas
- Department of Pathobiology & Population Sciences, The Royal Veterinary College, London, UK
| | - Maggie Chon U Cheang
- Head of Integrative Genomics Analysis in Clinical Trials, ICR-CTSU, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Francesco Ciompi
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lee AD Cooper
- Department of Pathology, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - An Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and Immunotherapy, KU Leuven, Leuven, Belgium
| | - Germán Corredor
- Biomedical Engineering Department, Emory University, Atlanta, GA, USA
| | | | - Frederik Deman
- Department of Pathology PA, GZA-ZNA Hospitals, Antwerp, Belgium
| | - Sandra Demaria
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
- Department of Pathology, Weill Cornell Medicine, New York NY, USA
| | - Sarah N Dudgeon
- Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Mahmoud Elghazawy
- University of Surrey, Guildford, UK
- Ain Shams University, Cairo, Egypt
| | - Claudio Fernandez-Martín
- Institute Universitario de Investigatión en Tecnología Centrada en el Ser Humano, HUMAN-tech, Universitat Politècnica de València, Valencia, Spain
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, New York, NY, USA
| | - Stephen B Fox
- Pathology, Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | | | - Sacha Gnjatic
- Department of Oncological Sciences, Medicine Hem/One, and Pathology, Tisch Cancer Institute – Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York NY, USA
| | | | - Anita Grigoriadis
- Cancer Bioinformatics, Faculty of Life Sciences and Medicine, School of Cancer & Pharmaceutical Sciences, King’s College London, London, UK
- The Breast Cancer Now Research Unit Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King’s College London, London, UK
| | - Niels Halama
- Department of Translational Immunotherapy, German Cancer Research Center, Heidelberg, Germany
| | | | | | - Steven N Hart
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Johan Hartman
- Tehran University of Medical Sciences, Tehran, Iran
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Stephen Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hugo M Horlings
- Division of Pathology, Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands
| | | | - Sheeba Irshad
- King's College London & Guys & St Thomas NHS Trust London, UK
| | - Emiel AM Janssen
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | | | - Kosuke Kawaguchi
- Department of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Andrey I Khramtsov
- Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Umay Kiraz
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | - Pawan Kirtani
- Histopathology, Aakash Healthcare Super Speciality Hospital, New Delhi, India
| | - Liudmila L Kodach
- Department of Pathology, Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Konstanty Korski
- Data, Analytics and Imaging, Product Development, F. Hoffmann-La Roche AG, Basel, Switzerland
| | - Guray Akturk
- Translational Molecular Biomarkers, Merck & Co., Inc., Kenilworth, NJ, USA
| | - Ely Scott
- Translational Medicine, Bristol Myers Squibb, Princeton, NJ, USA
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne-Vibeke Lænkholm
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Department of Surgical Pathology, University of Copenhagen, Copenhagen, Denmark
| | - Corinna Lang-Schwarz
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Denis Larsimont
- Institut Jules Bordet Université Libre de Bruxelles, Brussels, Belgium
| | - Jochen K Lennerz
- Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Marvin Lerousseau
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM U900, Paris, France
| | - Xiaoxian Li
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Anant Madabhushi
- Department of Biomedical Engineering, Radiology and Imaging Sciences, Biomedical Informatics, Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Sai K Maley
- NRG Oncology/NSABP Foundation, Pittsburgh, PA, USA
| | | | - Douglas K Marks
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Elizabeth S McDonald
- Breast Cancer Translational Research Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Mehrotra
- Indian Cancer Genomic Atlas, Pune, India
- Centre for Health, Innovation and Policy Foundation, Noida, India
| | - Stefan Michiels
- Office of Biostatistics and Epidemiology, Gustave Roussy, Oncostat U1018, Inserm, University Paris-Saclay, Ligue Contre le Cancer labeled Team, Villejuif France
| | - Durga Kharidehal
- Department of Pathology, Narayana Medical College and Hospital, Nellore, India
| | - Fayyaz ul Amir Afsar Minhas
- Tissue Image Analytics Centre, Warwick Cancer Research Centre, PathLAKE Consortium, Department of Computer Science, University of Warwick, Coventry, UK
| | - Shachi Mittal
- Department of Chemical Engineering, Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - David A Moore
- CRUK Lung Cancer Centre of Excellence, UCL and Cellular Pathology Department UCLH, London, UK
| | - Shamim Mushtaq
- Department of Biochemistry, Ziauddin University, Karachi, Pakistan
| | - Hussain Nighat
- Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Raipur, India
| | - Thomas Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Clinical Pathology, Drammen Sykehus, Vestre Viken HF, Drammen, Norway
| | - Frederique Penault-Llorca
- Service de Pathologie et Biopathologie, Centre Jean PERRIN, INSERM U1240 Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Université Clermont Auvergne, Clermont-Ferrand, France
| | - Rashindrie D Perera
- School of Electrical, Mechanical and Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Christopher J Pinard
- Radiogenomics Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
- Department of Oncology, Lakeshore Animal Health Partners, Mississauga, Ontario, Canada
- Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI), University of Guelph, Guelph, Ontario, Canada
| | | | - Giancarlo Pruneri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Faculty of Medicine and Surgery, University of Milan, Milan, Italy
| | - Lajos Pusztai
- Yale Cancer Center, Yale University, New Haven, CT, USA
- Department of Medical Oncology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | | | - Bernardo Leon Rapoport
- The Medical Oncology Centre of Rosebank Johannesburg South Africa
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Tilman T Rau
- Institute of Pathology, University Hospital Düsseldorf and Heinrich-Heine-University, Düsseldorf Germany
| | | | - David Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Anne Vincent-Salomon
- Department of Diagnostic and Theranostic Medicine, Institut Curie, University Paris-Sciences et Lettres, Paris, France
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, New York NY, USA
| | - Shahin Sayed
- Department of Pathology, Aga Khan University, Nairobi, Kenya
| | - Evangelos Hytopoulos
- Department of Pathology, Aga Khan University, Nairobi, Kenya
- iRhythm Technologies Inc., San Francisco, CA, USA
| | - Sarah Mahon
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Kalliopi P Siziopikou
- Department of Pathology, Section of Breast Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Medical Oncology Department Institut Jules Bordet Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Centers for Personalized Medicine (ZPM), Heidelberg, Germany
| | | | - Daniel Sur
- Department of Medical Oncology, University of Medicine and Pharmacy “luliu Hatieganu ”, Cluj-Napoca, Romania
| | - Fraser Symmans
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Sabine Tejpar
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jonas Teuwen
- Al for Oncology Lab, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Trine Tramm
- Department of Pathology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - William T Tran
- Department of Radiation Oncology, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Jeroen van der Laak
- Head of Integrative Genomics Analysis in Clinical Trials, ICR-CTSU, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Gregory E Verghese
- Cancer Bioinformatics, Faculty of Life Sciences and Medicine, School of Cancer & Pharmaceutical Sciences, King’s College London, London, UK
- The Breast Cancer Now Research Unit Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King’s College London, London, UK
| | - Giuseppe Viale
- Department of Pathology, European Institute of Oncology & University of Milan, Milan, Italy
| | - Noorul Wahab
- Tissue Image Analytics Centre, Department of Computer Science, University of Wanwick Coventry, UK
| | - Thomas Walter
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM U900, Paris, France
| | | | - Hannah Y Wen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wentao Yang
- Fudan Medical University Shanghai Cancer Center, Shanghai, PR China
| | - Yinyin Yuan
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Sibylle Loibl
- Department of Medicine and Research, German Breast Group, Neu-lsenburg Germany
| | - Carsten Denkert
- Institut für Pathologie, Philipps-Universität Marburg und Universitätsklinikum Marburg, Marburg, Germany
| | - Peter Savas
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Sherene Loi
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Roberto Salgado
- Department of Pathology PA, GZA-ZNA Hospitals, Antwerp, Belgium
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - William M Gallagher
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Arman Rahman
- UCD School of Medicine, UCD Conway Institute, University College Dublin, Dublin, Ireland
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Dou T, Li J, Zhang Y, Pei W, Zhang B, Wang B, Wang Y, Jia H. The cellular composition of the tumor microenvironment is an important marker for predicting therapeutic efficacy in breast cancer. Front Immunol 2024; 15:1368687. [PMID: 38487526 PMCID: PMC10937353 DOI: 10.3389/fimmu.2024.1368687] [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: 01/11/2024] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
At present, the incidence rate of breast cancer ranks first among new-onset malignant tumors in women. The tumor microenvironment is a hot topic in tumor research. There are abundant cells in the tumor microenvironment that play a protumor or antitumor role in breast cancer. During the treatment of breast cancer, different cells have different influences on the therapeutic response. And after treatment, the cellular composition in the tumor microenvironment will change too. In this review, we summarize the interactions between different cell compositions (such as immune cells, fibroblasts, endothelial cells, and adipocytes) in the tumor microenvironment and the treatment mechanism of breast cancer. We believe that detecting the cellular composition of the tumor microenvironment is able to predict the therapeutic efficacy of treatments for breast cancer and benefit to combination administration of breast cancer.
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Affiliation(s)
- Tingyao Dou
- Department of First Clinical Medicine, Shanxi Medical University, Taiyuan, China
| | - Jing Li
- Department of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yaochen Zhang
- Department of First Clinical Medicine, Shanxi Medical University, Taiyuan, China
| | - Wanru Pei
- Department of First Clinical Medicine, Shanxi Medical University, Taiyuan, China
| | - Binyue Zhang
- Department of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Bin Wang
- Department of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yanhong Wang
- Department of Microbiology and Immunology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, Shanxi, China
| | - Hongyan Jia
- Department of Breast Surgery, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, Shanxi, China
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Veh J, Ludwig C, Schrezenmeier H, Jahrsdörfer B. Regulatory B Cells-Immunopathological and Prognostic Potential in Humans. Cells 2024; 13:357. [PMID: 38391970 PMCID: PMC10886933 DOI: 10.3390/cells13040357] [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: 12/27/2023] [Revised: 02/05/2024] [Accepted: 02/10/2024] [Indexed: 02/24/2024] Open
Abstract
The aim of the following review is to shed light on the putative role of regulatory B cells (Bregs) in various human diseases and highlight their potential prognostic and therapeutic relevance in humans. Regulatory B cells are a heterogeneous group of B lymphocytes capable of suppressing inflammatory immune reactions. In this way, Bregs contribute to the maintenance of tolerance and immune homeostasis by limiting ongoing immune reactions temporally and spatially. Bregs play an important role in attenuating pathological inflammatory reactions that can be associated with transplant rejection, graft-versus-host disease, autoimmune diseases and allergies but also with infectious, neoplastic and metabolic diseases. Early studies of Bregs identified IL-10 as an important functional molecule, so the IL-10-secreting murine B10 cell is still considered a prototype Breg, and IL-10 has long been central to the search for human Breg equivalents. However, over the past two decades, other molecules that may contribute to the immunosuppressive function of Bregs have been discovered, some of which are only present in human Bregs. This expanded arsenal includes several anti-inflammatory cytokines, such as IL-35 and TGF-β, but also enzymes such as CD39/CD73, granzyme B and IDO as well as cell surface proteins including PD-L1, CD1d and CD25. In summary, the present review illustrates in a concise and comprehensive manner that although human Bregs share common functional immunosuppressive features leading to a prominent role in various human immunpathologies, they are composed of a pool of different B cell types with rather heterogeneous phenotypic and transcriptional properties.
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Affiliation(s)
- Johanna Veh
- Institute for Transfusion Medicine, Ulm University Hospitals and Clinics, 89081 Ulm, Germany
- Institute for Clinical Transfusion Medicine and Immunogenetics, German Red Cross Blood Donation Service Baden-Württemberg-Hessen, 89081 Ulm, Germany
| | - Carolin Ludwig
- Institute for Transfusion Medicine, Ulm University Hospitals and Clinics, 89081 Ulm, Germany
- Institute for Clinical Transfusion Medicine and Immunogenetics, German Red Cross Blood Donation Service Baden-Württemberg-Hessen, 89081 Ulm, Germany
| | - Hubert Schrezenmeier
- Institute for Transfusion Medicine, Ulm University Hospitals and Clinics, 89081 Ulm, Germany
| | - Bernd Jahrsdörfer
- Institute for Transfusion Medicine, Ulm University Hospitals and Clinics, 89081 Ulm, Germany
- Institute for Clinical Transfusion Medicine and Immunogenetics, German Red Cross Blood Donation Service Baden-Württemberg-Hessen, 89081 Ulm, Germany
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Sverchkova A, Burkholz S, Rubsamen R, Stratford R, Clancy T. Integrative HLA typing of tumor and adjacent normal tissue can reveal insights into the tumor immune response. BMC Med Genomics 2024; 17:37. [PMID: 38281021 PMCID: PMC10821267 DOI: 10.1186/s12920-024-01808-8] [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: 07/05/2023] [Accepted: 01/12/2024] [Indexed: 01/29/2024] Open
Abstract
BACKGROUND The HLA complex is the most polymorphic region of the human genome, and its improved characterization can help us understand the genetics of human disease as well as the interplay between cancer and the immune system. The main function of HLA genes is to recognize "non-self" antigens and to present them on the cell surface to T cells, which instigate an immune response toward infected or transformed cells. While sequence variation in the antigen-binding groove of HLA may modulate the repertoire of immunogenic antigens presented to T cells, alterations in HLA expression can significantly influence the immune response to pathogens and cancer. METHODS RNA sequencing was used here to accurately genotype the HLA region and quantify and compare the level of allele-specific HLA expression in tumors and patient-matched adjacent normal tissue. The computational approach utilized in the study types classical and non-classical Class I and Class II HLA alleles from RNA-seq while simultaneously quantifying allele-specific or personalized HLA expression. The strategy also uses RNA-seq data to infer immune cell infiltration into tumors and the corresponding immune cell composition of matched normal tissue, to reveal potential insights related to T cell and NK cell interactions with tumor HLA alleles. RESULTS The genotyping method outperforms existing RNA-seq-based HLA typing tools for Class II HLA genotyping. Further, we demonstrate its potential for studying tumor-immune interactions by applying the method to tumor samples from two different subtypes of breast cancer and their matched normal breast tissue controls. CONCLUSIONS The integrative RNA-seq-based HLA typing approach described in the study, coupled with HLA expression analysis, neoantigen prediction and immune cell infiltration, may help increase our understanding of the interplay between a patient's tumor and immune system; and provide further insights into the immune mechanisms that determine a positive or negative outcome following treatment with immunotherapy such as checkpoint blockade.
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Affiliation(s)
- Angelina Sverchkova
- NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Scott Burkholz
- Flow Pharma, Inc, Warrensville Heights, Galaxy Parkway, OH, 4829, USA
| | - Reid Rubsamen
- Flow Pharma, Inc, Warrensville Heights, Galaxy Parkway, OH, 4829, USA
- University Hospitals, Cleveland Medical Center, Cleveland, OH, USA
- Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Richard Stratford
- NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway
| | - Trevor Clancy
- NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway.
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Feng R, Xu J, Huang J, Liu J, Wang X, Wang J, Zhang C, Li H, Wei Y, Ren G. An immune-related prognostic gene ULBP2 is correlated with immunosuppressive tumor microenvironment and immunotherapy in breast cancer. Heliyon 2024; 10:e23687. [PMID: 38205308 PMCID: PMC10776944 DOI: 10.1016/j.heliyon.2023.e23687] [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: 04/08/2023] [Revised: 11/29/2023] [Accepted: 12/09/2023] [Indexed: 01/12/2024] Open
Abstract
Breast cancer (BC) is one of the major dangerous tumors threatening women's lives. We here aimed to sort out prognostic immune-related genes by univariate Cox regression analysis and build a model of immune-related genes for forecasting the prognosis of BC patients. We identified UL16 binding protein 2 (ULBP2) as a valuable gene for study in the model using related databases and algorithms analysis. We found the stromal and immune cells scores were higher in ULBP2 high expression group and ULBP2 was related to kinds of immune cells, most importantly had negative correlation with CD8+ T cell. Notably, ULBP2 was positively correlated with tumor mutational burden (TMB) and had relationship with many immune checkpoints. Correlation analysis revealed that ULBP2 expression was closely linked to the clinicopathological characters and negatively related to BC patient survival. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed the functional enrichment of differential genes related to ULBP2. Gene Set Enrichment Analysis (GSEA) indicated pathway enrichment in ULBP2 high and low expression groups. In short, this study comprehensively investigated the potential function of ULBP2 in BC, which might make ULBP2 to be an important therapeutic target for BC.
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Affiliation(s)
- Rui Feng
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jiali Xu
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jing Huang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jiazhou Liu
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Xiaoyu Wang
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jing Wang
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Chong Zhang
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Ultrasound, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Hongzhong Li
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yuxian Wei
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Guosheng Ren
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
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Xie M, Chaudhary R, Slebos RJ, Lee K, Song F, Poole MI, Hoening DS, Noel LC, Hernandez-Prera JC, Conejo-Garcia JR, Chung CH, Tan AC. Immune landscape in molecular subtypes of human papillomavirus-negative head and neck cancer. Mol Carcinog 2024; 63:120-135. [PMID: 37750589 PMCID: PMC10841270 DOI: 10.1002/mc.23640] [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: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 09/27/2023]
Abstract
Head and neck squamous cell carcinomas (HNSCC) remain a poorly understood disease clinically and immunologically. HPV is a known risk factor of HNSCC associated with better outcome, whereas HPV-negative HNSCC are more heterogeneous in outcome. Gene expression signatures have been developed to classify HNSCC into four molecular subtypes (classical, basal, mesenchymal, and atypical). However, the molecular underpinnings of treatment response and the immune landscape for these molecular subtypes are largely unknown. Herein, we described a comprehensive immune landscape analysis in three independent HNSCC cohorts (>700 patients) using transcriptomics data. We assigned the HPV- HNSCC patients into these four molecular subtypes and characterized the tumor microenvironment using deconvolution method. We determined that atypical and mesenchymal subtypes have greater immune enrichment and exhibit a T-cell exhaustion phenotype, compared to classical and basal subtypes. Further analyses revealed different B cell maturation and antibody isotypes enrichment patterns, and distinct immune microenvironment crosstalk in the atypical and mesenchymal subtypes. Taken together, our study suggests that treatments that enhances B cell activity may benefit patients with HNSCC of the atypical subtypes. The rationale can be utilized in the design of future precision immunotherapy trials based on the molecular subtypes of HPV- HNSCC.
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Affiliation(s)
- Mengyu Xie
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Ritu Chaudhary
- Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Robbert J.C. Slebos
- Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Kyubum Lee
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Feifei Song
- Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Maria I. Poole
- Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Dirk S. Hoening
- Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Leenil C. Noel
- Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Juan C. Hernandez-Prera
- Department of Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Jose R. Conejo-Garcia
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Christine H. Chung
- Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Aik Choon Tan
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
- Huntsman Cancer Institute, Department of Oncological Sciences and Biomedical Informatics, University of Utah, Salt Lake City, UT, 84112 USA
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Kang JY, Yang J, Lee H, Park S, Gil M, Kim KE. Systematic Multiomic Analysis of PKHD1L1 Gene Expression and Its Role as a Predicting Biomarker for Immune Cell Infiltration in Skin Cutaneous Melanoma and Lung Adenocarcinoma. Int J Mol Sci 2023; 25:359. [PMID: 38203530 PMCID: PMC10778817 DOI: 10.3390/ijms25010359] [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: 11/08/2023] [Revised: 12/16/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
The identification of genetic factors that regulate the cancer immune microenvironment is important for understanding the mechanism of tumor progression and establishing an effective treatment strategy. Polycystic kidney and hepatic disease 1-like protein 1 (PKHD1L1) is a large transmembrane protein that is highly expressed in immune cells; however, its association with tumor progression remains unclear. Here, we systematically analyzed the clinical relevance of PKHD1L1 in the tumor microenvironment in multiple cancer types using various bioinformatic tools. We found that the PKHD1L1 mRNA expression levels were significantly lower in skin cutaneous melanoma (SKCM) and lung adenocarcinoma (LUAD) than in normal tissues. The decreased expression of PKHD1L1 was significantly associated with unfavorable overall survival (OS) in SKCM and LUAD. Additionally, PKHD1L1 expression was positively correlated with the levels of infiltrating B cells, cluster of differentiation (CD)-8+ T cells, and natural killer (NK) cells, suggesting that the infiltration of immune cells could be associated with a good prognosis due to increased PKHD1L1 expression. Gene ontology (GO) analysis also revealed the relationship between PKHD1L1-co-altered genes and the activation of lymphocytes, including B and T cells. Collectively, this study shows that PKHD1L1 expression is positively correlated with a good prognosis via the induction of immune infiltration, suggesting that PKHD1L1 has potential prognostic value in SKCM and LUAD.
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Affiliation(s)
- Ji Young Kang
- Department of Health Industry, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (J.Y.K.); (M.G.)
| | - Jisun Yang
- Department of Cosmetic Sciences, Sookmyung Women’s University, Seoul 04310, Republic of Korea;
| | - Haeryung Lee
- Department of Biological Sciences, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (H.L.); (S.P.)
| | - Soochul Park
- Department of Biological Sciences, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (H.L.); (S.P.)
| | - Minchan Gil
- Department of Health Industry, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (J.Y.K.); (M.G.)
| | - Kyung Eun Kim
- Department of Health Industry, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (J.Y.K.); (M.G.)
- Department of Cosmetic Sciences, Sookmyung Women’s University, Seoul 04310, Republic of Korea;
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33
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Zhao F, Zhao C, Xu T, Lan Y, Lin H, Wu X, Li X. Single-cell and bulk RNA sequencing analysis of B cell marker genes in TNBC TME landscape and immunotherapy. Front Immunol 2023; 14:1245514. [PMID: 38111587 PMCID: PMC10725955 DOI: 10.3389/fimmu.2023.1245514] [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: 06/23/2023] [Accepted: 11/13/2023] [Indexed: 12/20/2023] Open
Abstract
Objective This study amied to investigate the prognostic characteristics of triple negative breast cancer (TNBC) patients by analyzing B cell marker genes based on single-cell and bulk RNA sequencing. Methods Utilizing single-cell sequencing data from TNBC patients, we examined tumor-associated B cell marker genes. Transcriptomic data from The Cancer Genome Atlas (TCGA) database were used as the foundation for predictive modeling. Independent validation set was conducted using the GSE58812 dataset. Immune cell infiltration into the tumor was assessed through various, including XCELL, TIMER, QUANTISEQ, CIBERSORT, CIBERSORT-ABS, and ssGSEA. The TIDE score was utilized to predict immunotherapy outcomes. Additional investigations were conducted on the immune checkpoint blockade gene, tumor mutational load, and the GSEA enrichment analysis. Results Our analysis encompassed 22,106 cells and 20,556 genes in cancerous tissue samples from four TNBC patients, resulting in the identification of 116 B cell marker genes. A B cell marker gene score (BCMG score) involving nine B cell marker genes (ZBP1, SEL1L3, CCND2, TNFRSF13C, HSPA6, PLPP5, CXCR4, GZMB, and CCDC50) was developed using TCGA transcriptomic data, revealing statistically significant differences in survival analysis (P<0.05). Functional analysis demonstrated that marker genes were predominantly associated with immune-related pathways. Notably, substantial differences between the higher and lower- BCMG score groups were observed in terms of immune cell infiltration, immune cell activity, tumor mutational burden, TIDE score, and the expression of immune checkpoint blockade genes. Conclusion This study has established a robust model based on B-cell marker genes in TNBC, which holds significant potential for predicting prognosis and response to immunotherapy in TNBC patients.
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Affiliation(s)
- Fangrui Zhao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Chen Zhao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Tangpeng Xu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yanfang Lan
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Huiqing Lin
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiaofei Wu
- Department of Neurology, Central War Zone General Hospital of the Chinese People's Liberation Army, Wuhan, Hubei, China
| | - Xiangpan Li
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
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Kanto N, Ohkawa Y, Kitano M, Maeda K, Shiida M, Ono T, Ota F, Kizuka Y, Kunimasa K, Nishino K, Mukai M, Seike M, Azuma A, Harada Y, Fukuda T, Gu J, Taniguchi N. A highly specific antibody against the core fucose of the N-glycan in IgG identifies the pulmonary diseases and its regulation by CCL2. J Biol Chem 2023; 299:105365. [PMID: 37865317 PMCID: PMC10663832 DOI: 10.1016/j.jbc.2023.105365] [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: 07/29/2023] [Revised: 10/01/2023] [Accepted: 10/09/2023] [Indexed: 10/23/2023] Open
Abstract
Glycan structure is often modulated in disease or predisease states, suggesting that such changes might serve as biomarkers. Here, we generated a monoclonal antibody (mAb) against the core fucose of the N-glycan in human IgG. Notably, this mAb can be used in Western blotting and ELISA. ELISA using this mAb revealed a low level of the core fucose of the N-glycan in IgG, suggesting that the level of acore fucosylated (noncore fucosylated) IgG was increased in the sera of the patients with lung cancer, chronic obstructive pulmonary disease, and interstitial pneumonia compared to healthy subjects. In a coculture analysis using human lung adenocarcinoma A549 cells and antibody-secreting B cells, the downregulation of the FUT8 (α1,6 fucosyltransferase) gene and a low level of core fucose of the N-glycan in IgG in antibody-secreting B cells were observed after coculture. A dramatic alteration in gene expression profiles for cytokines, chemokines, and their receptors were also observed after coculturing, and we found that the identified C-C motif chemokine 2 was partially involved in the downregulation of the FUT8 gene and the low level of core fucose of the N-glycan in IgG in antibody-secreting B cells. We also developed a latex turbidimetric immunoassay using this mAb. These results suggest that communication with C-C motif chemokine 2 between lung cells and antibody-secreting B cells downregulate the level of core fucose of the N-glycan in IgG, i.e., the increased level of acore fucosylated (noncore fucosylated) IgG, which would be a novel biomarker for the diagnosis of patients with pulmonary diseases.
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Affiliation(s)
- Noriko Kanto
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Yuki Ohkawa
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Masato Kitano
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan; Department of Molecular Biochemistry and Clinical Investigation, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kento Maeda
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Masafumi Shiida
- Research and Development Division, Minaris Medical Co, Ltd, Shizuoka, Japan
| | - Tatsuya Ono
- Research and Development Division, Minaris Medical Co, Ltd, Shizuoka, Japan
| | - Fumi Ota
- Disease Glycomics Team, Global Research Cluster, RIKEN, Saitama, Japan
| | - Yasuhiko Kizuka
- Institute for Glyco-core Research, Gifu University, Gifu, Japan
| | - Kei Kunimasa
- Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Kazumi Nishino
- Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Mikio Mukai
- Deparetment of Medical Check-up, Osaka International Cancer Institute, Osaka, Japan
| | - Masahiro Seike
- Department of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Arata Azuma
- Department of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Yoichiro Harada
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Tomohiko Fukuda
- Division of Regulatory Glycobiology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan
| | - Jianguo Gu
- Division of Regulatory Glycobiology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan
| | - Naoyuki Taniguchi
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan.
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Rediti M, Fernandez-Martinez A, Venet D, Rothé F, Hoadley KA, Parker JS, Singh B, Campbell JD, Ballman KV, Hillman DW, Winer EP, El-Abed S, Piccart M, Di Cosimo S, Symmans WF, Krop IE, Salgado R, Loi S, Pusztai L, Perou CM, Carey LA, Sotiriou C. Immunological and clinicopathological features predict HER2-positive breast cancer prognosis in the neoadjuvant NeoALTTO and CALGB 40601 randomized trials. Nat Commun 2023; 14:7053. [PMID: 37923752 PMCID: PMC10624889 DOI: 10.1038/s41467-023-42635-2] [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: 12/01/2022] [Accepted: 10/16/2023] [Indexed: 11/06/2023] Open
Abstract
The identification of prognostic markers in patients receiving neoadjuvant therapy is crucial for treatment optimization in HER2-positive breast cancer, with the immune microenvironment being a key factor. Here, we investigate the complexity of B and T cell receptor (BCR and TCR) repertoires in the context of two phase III trials, NeoALTTO and CALGB 40601, evaluating neoadjuvant paclitaxel with trastuzumab and/or lapatinib in women with HER2-positive breast cancer. BCR features, particularly the number of reads and clones, evenness and Gini index, are heterogeneous according to hormone receptor status and PAM50 subtypes. Moreover, BCR measures describing clonal expansion, namely evenness and Gini index, are independent prognostic factors. We present a model developed in NeoALTTO and validated in CALGB 40601 that can predict event-free survival (EFS) by integrating hormone receptor and clinical nodal status, breast pathological complete response (pCR), stromal tumor-infiltrating lymphocyte levels (%) and BCR repertoire evenness. A prognostic score derived from the model and including those variables, HER2-EveNT, allows the identification of patients with 5-year EFS > 90%, and, in those not achieving pCR, of a subgroup of immune-enriched tumors with an excellent outcome despite residual disease.
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Affiliation(s)
- Mattia Rediti
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | | | - David Venet
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Françoise Rothé
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Joel S Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | | | - Jordan D Campbell
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, USA
| | - Karla V Ballman
- Alliance Statistics and Data Management Center, Weill Cornell Medicine, New York, NY, USA
| | - David W Hillman
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN, USA
| | - Eric P Winer
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | | | - Martine Piccart
- Medical Oncology Department, Institut Jules Bordet and l'Université Libre de Bruxelles (U.L.B.), Brussels, Belgium
| | - Serena Di Cosimo
- Integrated biology platform unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - William Fraser Symmans
- Department of Pathology, University of Texas, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Ian E Krop
- Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA Ziekenhuizen, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Sherene Loi
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Lajos Pusztai
- Breast Medical Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Lisa A Carey
- Division of Hematology-Oncology, Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.
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Goubet AG, Rouanne M, Derosa L, Kroemer G, Zitvogel L. From mucosal infection to successful cancer immunotherapy. Nat Rev Urol 2023; 20:682-700. [PMID: 37433926 DOI: 10.1038/s41585-023-00784-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2023] [Indexed: 07/13/2023]
Abstract
The clinical management of advanced malignancies of the upper and lower urinary tract has been revolutionized with the advent of immune checkpoint blockers (ICBs). ICBs reinstate or bolster pre-existing immune responses while creating new T cell specificities. Immunogenic cancers, which tend to benefit more from immunotherapy than cold tumours, harbour tumour-specific neoantigens, often associated with a high tumour mutational burden, as well as CD8+ T cell infiltrates and ectopic lymphoid structures. The identification of beneficial non-self tumour antigens and natural adjuvants is the focus of current investigation. Moreover, growing evidence suggests that urinary or intestinal commensals, BCG and uropathogenic Escherichia coli influence long-term responses in patients with kidney or bladder cancer treated with ICBs. Bacteria infecting urothelium could be a prominent target for T follicular helper cells and B cells, linking innate and cognate CD8+ memory responses. In the urinary tract, commensal flora differ between healthy and tumoural mucosae. Although antibiotics can affect the prognosis of urinary tract malignancies, bacteria can have a major influence on cancer immunosurveillance. Beyond their role as biomarkers, immune responses against uropathogenic commensals could be harnessed for the design of future immunoadjuvants that can be advantageously combined with ICBs.
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Affiliation(s)
- Anne-Gaëlle Goubet
- Gustave Roussy, Villejuif, France
- Institut National de la Santé Et de la Recherche Médicale (INSERM) U1015, Equipe Labellisée - Ligue Nationale contre le Cancer, Villejuif, France
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
- AGORA Cancer Center, Lausanne, Switzerland
| | - Mathieu Rouanne
- Gustave Roussy, Villejuif, France
- Institut National de la Santé Et de la Recherche Médicale (INSERM) U1015, Equipe Labellisée - Ligue Nationale contre le Cancer, Villejuif, France
- Department of Microbiology and Immunology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Lisa Derosa
- Gustave Roussy, Villejuif, France
- Institut National de la Santé Et de la Recherche Médicale (INSERM) U1015, Equipe Labellisée - Ligue Nationale contre le Cancer, Villejuif, France
- Faculté de Médecine, Université Paris-Saclay, Kremlin-Bicetre, France
| | - Guido Kroemer
- Gustave Roussy, Villejuif, France
- Equipe labellisée par la Ligue contre le Cancer, Université de Paris Cité, Sorbonne Université, Institut Universitaire de France, Inserm U1138, Centre de Recherche des Cordeliers, Paris, France
- Institut du Cancer Paris CARPEM, Department of Biology, Hôpital Européen Georges Pompidou, AP-HP, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Comprehensive Cancer Institute, Villejuif, France
| | - Laurence Zitvogel
- Gustave Roussy, Villejuif, France.
- Institut National de la Santé Et de la Recherche Médicale (INSERM) U1015, Equipe Labellisée - Ligue Nationale contre le Cancer, Villejuif, France.
- Faculté de Médecine, Université Paris-Saclay, Kremlin-Bicetre, France.
- Center of Clinical Investigations for In Situ Biotherapies of Cancer (BIOTHERIS) INSERM, CIC1428, Villejuif, France.
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37
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Gonzàlez-Farré M, Gibert J, Santiago-Díaz P, Santos J, García P, Massó J, Bellosillo B, Lloveras B, Albanell J, Vázquez I, Comerma L. Automated quantification of stromal tumour infiltrating lymphocytes is associated with prognosis in breast cancer. Virchows Arch 2023; 483:655-663. [PMID: 37500796 DOI: 10.1007/s00428-023-03608-4] [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: 04/25/2023] [Revised: 07/10/2023] [Accepted: 07/17/2023] [Indexed: 07/29/2023]
Abstract
Stromal tumour infiltrating lymphocytes (sTIL) in haematoxylin and eosin (H&E) stained sections has been linked to better outcomes and better responses to neoadjuvant therapy in triple-negative and HER2-positive breast cancer (TNBC and HER2 +). However, the infiltrate includes different cell populations that have specific roles in the tumour immune microenvironment. Various studies have found high concordance between sTIL visual quantification and computational assessment, but specific data on the individual prognostic impact of plasma cells or lymphocytes within sTIL on patient prognosis is still unknown. In this study, we validated a deep-learning breast cancer sTIL scoring model (smsTIL) based on the segmentation of tumour cells, benign ductal cells, lymphocytes, plasma cells, necrosis, and 'other' cells in whole slide images (WSI). Focusing on HER2 + and TNBC patient samples, we assessed the concordance between sTIL visual scoring and the smsTIL in 130 WSI. Furthermore, we analysed 175 WSI to correlate smsTIL with clinical data and patient outcomes. We found a high correlation between sTIL values scored visually and semi-automatically (R = 0.76; P = 2.2e-16). Patients with higher smsTIL had better overall survival (OS) in TNBC (P = 0.0021). In the TNBC cohort, smsTIL was as an independent prognostic factor for OS. As part of this work, we introduce a new segmentation dataset of H&E-stained WSI.
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Affiliation(s)
- Mònica Gonzàlez-Farré
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain.
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain.
| | - Joan Gibert
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain
| | - Pablo Santiago-Díaz
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
| | - Jordina Santos
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
| | - Pilar García
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
| | - Jordi Massó
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
| | - Beatriz Bellosillo
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain
- Department of Medicine and Life Sciences (MELIS), University Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Belén Lloveras
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain
- Department of Medicine and Life Sciences (MELIS), University Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Joan Albanell
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain
- Department of Medicine and Life Sciences (MELIS), University Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Spain
- Department of Medical Oncology, Hospital del Mar, 08003, Barcelona, Spain
- Center for Biomedical Network Research On Cancer (CIBERONC), 28029, Madrid, Spain
| | - Ivonne Vázquez
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
| | - Laura Comerma
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, 08003, Barcelona, Spain
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain
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Wang M, Rajkumar S, Lai Y, Liu X, He J, Ishikawa T, Nallapothula D, Singh RR. Tertiary lymphoid structures as local perpetuators of organ-specific immune injury: implication for lupus nephritis. Front Immunol 2023; 14:1204777. [PMID: 38022566 PMCID: PMC10644380 DOI: 10.3389/fimmu.2023.1204777] [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: 04/12/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
In response to inflammatory stimuli in conditions such as autoimmune disorders, infections and cancers, immune cells organize in nonlymphoid tissues, which resemble secondary lymphoid organs. Such immune cell clusters are called tertiary lymphoid structures (TLS). Here, we describe the potential role of TLS in the pathogenesis of autoimmune disease, focusing on lupus nephritis, a condition that incurs major morbidity and mortality. In the kidneys of patients and animals with lupus nephritis, the presence of immune cell aggregates with similar cell composition, structure, and gene signature as lymph nodes and of lymphoid tissue-inducer and -organizer cells, along with evidence of communication between stromal and immune cells are indicative of the formation of TLS. TLS formation in kidneys affected by lupus may be instigated by local increases in lymphorganogenic chemokines such as CXCL13, and in molecules associated with leukocyte migration and vascularization. Importantly, the presence of TLS in kidneys is associated with severe tubulointerstitial inflammation, higher disease activity and chronicity indices, and poor response to treatment in patients with lupus nephritis. TLS may contribute to the pathogenesis of lupus nephritis by increasing local IFN-I production, facilitating the recruitment and supporting survival of autoreactive B cells, maintaining local production of systemic autoantibodies such as anti-dsDNA and anti-Sm/RNP autoantibodies, and initiating epitope spreading to local autoantigens. Resolution of TLS, along with improvement in lupus, by treating animals with soluble BAFF receptor, docosahexaenoic acid, complement inhibitor C4BP(β-), S1P1 receptor modulator Cenerimod, dexamethasone, and anti-CXCL13 further emphasizes a role of TLS in the pathogenesis of lupus. However, the mechanisms underlying TLS formation and their roles in the pathogenesis of lupus nephritis are not fully comprehended. Furthermore, the lack of non-invasive methods to visualize/quantify TLS in kidneys is also a major hurdle; however, recent success in visualizing TLS in lupus-prone mice by photon emission computed tomography provides hope for early detection and manipulation of TLS.
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Affiliation(s)
- Meiying Wang
- Department of Rheumatology and Immunology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
- Peking University Shenzhen Hosiptal, Shenzhen, China
- Autoimmunity and Tolerance Laboratory, Division of Rheumatology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles (UCLA), Los Angeles, CA, United States
| | - Snehin Rajkumar
- Autoimmunity and Tolerance Laboratory, Division of Rheumatology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles (UCLA), Los Angeles, CA, United States
| | - Yupeng Lai
- Department of Rheumatology and Immunology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xingjiao Liu
- Department of Rheumatology and Immunology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Jing He
- Department of Rheumatology and Immunology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
- Department of Nephrology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Tatsuya Ishikawa
- Autoimmunity and Tolerance Laboratory, Division of Rheumatology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles (UCLA), Los Angeles, CA, United States
| | - Dhiraj Nallapothula
- Autoimmunity and Tolerance Laboratory, Division of Rheumatology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles (UCLA), Los Angeles, CA, United States
| | - Ram Raj Singh
- Autoimmunity and Tolerance Laboratory, Division of Rheumatology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles (UCLA), Los Angeles, CA, United States
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
- Molecular Toxicology Interdepartmental Program, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
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McCaw TR, Lofftus SY, Crompton JG. Clonal redemption of B cells in cancer. Front Immunol 2023; 14:1277597. [PMID: 37965337 PMCID: PMC10640973 DOI: 10.3389/fimmu.2023.1277597] [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: 08/14/2023] [Accepted: 10/16/2023] [Indexed: 11/16/2023] Open
Abstract
Potentially self-reactive B cells constitute a large portion of the peripheral B cell repertoire in both mice and humans. Maintenance of autoreactive B cell populations could conceivably be detrimental to the host but their conservation throughout evolution suggests performance of a critical and beneficial immune function. We discuss herein how the process of clonal redemption may provide insight to preservation of an autoreactive B cell pool in the context of infection and autoimmunity. Clonal redemption refers to additional recombination or hypermutation events decreasing affinity for self-antigen, while increasing affinity for foreign antigens. We then review findings in murine models and human patients to consider whether clonal redemption may be able to provide tumor antigen-specific B cells and how this may or may not predispose patients to autoimmunity.
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Affiliation(s)
| | | | - Joseph G. Crompton
- Department of Surgery, Division of Surgical Oncology, University of California, Los Angeles, CA, United States
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40
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Kotsifaki A, Alevizopoulos N, Dimopoulou V, Armakolas A. Unveiling the Immune Microenvironment's Role in Breast Cancer: A Glimpse into Promising Frontiers. Int J Mol Sci 2023; 24:15332. [PMID: 37895012 PMCID: PMC10607694 DOI: 10.3390/ijms242015332] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Breast cancer (BC), one of the most widespread and devastating diseases affecting women worldwide, presents a significant public health challenge. This review explores the emerging frontiers of research focused on deciphering the intricate interplay between BC cells and the immune microenvironment. Understanding the role of the immune system in BC is critical as it holds promise for novel therapeutic approaches and precision medicine strategies. This review delves into the current literature regarding the immune microenvironment's contribution to BC initiation, progression, and metastasis. It examines the complex mechanisms by which BC cells interact with various immune cell populations, including tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs). Furthermore, this review highlights the impact of immune-related factors, such as cytokines and immune checkpoint molecules. Additionally, this comprehensive analysis sheds light on the potential biomarkers associated with the immune response in BC, enabling early diagnosis and prognostic assessment. The therapeutic implications of targeting the immune microenvironment are also explored, encompassing immunotherapeutic strategies and combination therapies to enhance treatment efficacy. The significance of this review lies in its potential to pave the way for novel therapeutic interventions, providing clinicians and researchers with essential knowledge to design targeted and personalized treatment regimens for BC patients.
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Affiliation(s)
| | | | | | - Athanasios Armakolas
- Physiology Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.K.); (N.A.); (V.D.)
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41
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Steenbruggen TG, Wolf DM, Campbell MJ, Sanders J, Cornelissen S, Thijssen B, Salgado RA, Yau C, O-Grady N, Basu A, Bhaskaran R, Mittempergher L, Hirst GL, Coppe JP, Kok M, Sonke GS, van 't Veer LJ, Horlings HM. B-cells and regulatory T-cells in the microenvironment of HER2+ breast cancer are associated with decreased survival: a real-world analysis of women with HER2+ metastatic breast cancer. Breast Cancer Res 2023; 25:117. [PMID: 37794508 PMCID: PMC10552219 DOI: 10.1186/s13058-023-01717-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/21/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Despite major improvements in treatment of HER2-positive metastatic breast cancer (MBC), only few patients achieve complete remission and remain progression free for a prolonged time. The tumor immune microenvironment plays an important role in the response to treatment in HER2-positive breast cancer and could contain valuable prognostic information. Detailed information on the cancer-immune cell interactions in HER2-positive MBC is however still lacking. By characterizing the tumor immune microenvironment in patients with HER2-positive MBC, we aimed to get a better understanding why overall survival (OS) differs so widely and which alternative treatment approaches may improve outcome. METHODS We included all patients with HER2-positive MBC who were treated with trastuzumab-based palliative therapy in the Netherlands Cancer Institute between 2000 and 2014 and for whom pre-treatment tissue from the primary tumor or from metastases was available. Infiltrating immune cells and their spatial relationships to one another and to tumor cells were characterized by immunohistochemistry and multiplex immunofluorescence. We also evaluated immune signatures and other key pathways using next-generation RNA-sequencing data. With nine years median follow-up from initial diagnosis of MBC, we investigated the association between tumor and immune characteristics and outcome. RESULTS A total of 124 patients with 147 samples were included and evaluated. The different technologies showed high correlations between each other. T-cells were less prevalent in metastases compared to primary tumors, whereas B-cells and regulatory T-cells (Tregs) were comparable between primary tumors and metastases. Stromal tumor-infiltrating lymphocytes in general were not associated with OS. The infiltration of B-cells and Tregs in the primary tumor was associated with unfavorable OS. Four signatures classifying the extracellular matrix of primary tumors showed differential survival in the population as a whole. CONCLUSIONS In a real-world cohort of 124 patients with HER2-positive MBC, B-cells, and Tregs in primary tumors are associated with unfavorable survival. With this paper, we provide a comprehensive insight in the tumor immune microenvironment that could guide further research into development of novel immunomodulatory strategies.
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Affiliation(s)
- Tessa G Steenbruggen
- Department of Medical Oncology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands.
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94115, USA.
| | - Denise M Wolf
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Michael J Campbell
- Department of Surgery, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Joyce Sanders
- Department of Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands
| | - Sten Cornelissen
- Core Facility Molecular Pathology and Biobanking, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands
| | - Bram Thijssen
- Department of Molecular Carcinogenesis, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands
| | - Roberto A Salgado
- Department of Pathology, GZA-ZNA Hospitals, 2020, Antwerp, Belgium
- Division of Research, Peter Mac Callum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Christina Yau
- Department of Surgery, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Nick O-Grady
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Amrita Basu
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Rajith Bhaskaran
- Research and Development, Agendia N.V, 1043 NT, Amsterdam, North Holland, The Netherlands
| | - Lorenza Mittempergher
- Research and Development, Agendia N.V, 1043 NT, Amsterdam, North Holland, The Netherlands
| | - Gillian L Hirst
- Department of Surgery, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Jean-Philippe Coppe
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Marleen Kok
- Department of Medical Oncology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands
- Department of Clinical Oncology, University of Amsterdam, 1012 WX, Amsterdam, North Holland, The Netherlands
| | - Laura J van 't Veer
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, 94115, USA
| | - Hugo M Horlings
- Department of Pathology, The Netherlands Cancer Institute, 1066 CX, Amsterdam, North Holland, The Netherlands
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Topchyan P, Lin S, Cui W. The Role of CD4 T Cell Help in CD8 T Cell Differentiation and Function During Chronic Infection and Cancer. Immune Netw 2023; 23:e41. [PMID: 37970230 PMCID: PMC10643329 DOI: 10.4110/in.2023.23.e41] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/29/2023] [Accepted: 10/17/2023] [Indexed: 11/17/2023] Open
Abstract
CD4 and CD8 T cells are key players in the immune response against both pathogenic infections and cancer. CD4 T cells provide help to CD8 T cells via multiple mechanisms, including licensing dendritic cells (DCs), co-stimulation, and cytokine production. During acute infection and vaccination, CD4 T cell help is important for the development of CD8 T cell memory. However, during chronic viral infection and cancer, CD4 helper T cells are critical for the sustained effector CD8 T cell response, through a variety of mechanisms. In this review, we focus on T cell responses in conditions of chronic Ag stimulation, such as chronic viral infection and cancer. In particular, we address the significant role of CD4 T cell help in promoting effector CD8 T cell responses, emerging techniques that can be utilized to further our understanding of how these interactions may take place in the context of tertiary lymphoid structures, and how this key information can be harnessed for therapeutic utility against cancer.
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Affiliation(s)
- Paytsar Topchyan
- Blood Research Institute, Versiti Wisconsin, Milwaukee, WI 53213, USA
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Siying Lin
- Blood Research Institute, Versiti Wisconsin, Milwaukee, WI 53213, USA
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Weiguo Cui
- Blood Research Institute, Versiti Wisconsin, Milwaukee, WI 53213, USA
- Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
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Zareinejad M, Mehdipour F, Roshan-Zamir M, Faghih Z, Ghaderi A. Dual Functions of T Lymphocytes in Breast Carcinoma: From Immune Protection to Orchestrating Tumor Progression and Metastasis. Cancers (Basel) 2023; 15:4771. [PMID: 37835465 PMCID: PMC10571747 DOI: 10.3390/cancers15194771] [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: 08/19/2023] [Revised: 09/23/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Breast cancer (BC) is the most common cancer type in women and the second leading cause of death. Despite recent advances, the mortality rate of BC is still high, highlighting a need to develop new treatment strategies including the modulation of the immune system and immunotherapies. In this regard, understanding the complex function of the involved immune cells and their crosstalk with tumor cells is of great importance. T-cells are recognized as the most important cells in the tumor microenvironment and are divided into several subtypes including helper, cytotoxic, and regulatory T-cells according to their transcription factors, markers, and functions. This article attempts to provide a comprehensive review of the role of T-cell subsets in the prognosis and treatment of patients with BC, and crosstalk between tumor cells and T-cells. The literature overwhelmingly contains controversial findings mainly due to the plasticity of T-cell subsets within the inflammatory conditions and the use of different panels for their phenotyping. However, investigating the role of T-cells in BC immunity depends on a variety of factors including tumor types or subtypes, the stage of the disease, the localization of the cells in the tumor tissue and the presence of different cells or cytokines.
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Affiliation(s)
| | | | | | - Zahra Faghih
- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz 71348-45505, Iran; (M.Z.); (F.M.); (M.R.-Z.)
| | - Abbas Ghaderi
- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz 71348-45505, Iran; (M.Z.); (F.M.); (M.R.-Z.)
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Zhang X, Shen L, Zhu Y, Zhai C, Zeng H, Liu X, Tao J. Crosstalk of RNA methylation writers defines tumor microenvironment and alisertib resistance in breast cancer. Front Endocrinol (Lausanne) 2023; 14:1166939. [PMID: 37818090 PMCID: PMC10561238 DOI: 10.3389/fendo.2023.1166939] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/19/2023] [Indexed: 10/12/2023] Open
Abstract
Background The five major RNA methylation modifications (m6A, m1A, m6Am, m5C, and m7G) exert biological roles in tumorigenicity and immune response, mediated mainly by "writer" enzymes. Here, the prognostic values of the "writer" enzymes and the TCP1 role in drug resistance in breast cancer (BC) were explored for further therapeutic strategies. Methods We comprehensively characterized clinical, molecular, and genetic features of subtypes by consensus clustering. RNA methylation modification "Writers" and related genes_risk (RMW_risk) model for BC was constructed via a machine learning approach. Moreover, we performed a systematical analysis for characteristics of the tumor microenvironment (TME), alisertib sensitivity, and immunotherapy response. A series of experiments in vitro were carried out to assess the association of TCP1 with drug resistance. Results One "writer" (RBM15B) and two related genes (TCP1 and ANKRD36) were identified for prognostic model construction, validated by GSE1456, GSE7390, and GSE20685 cohorts and our follow-up data. Based on the patterns of the genes related to prognosis, patients were classified into RMW_risk-high and RMW_risk-low subtypes. Lower RMW_Score was associated with better overall survival and the infiltration of immune cells such as memory B cells. Further analysis revealed that RMW_Score presented potential values in predicting drug sensitivity and response for chemo- and immunotherapy. In addition, TCP1 was confirmed to promote BC alisertib-resistant cell proliferation and migration in vitro. Conclusion RMW_Score could function as a robust biomarker for predicting BC patient survival and therapeutic benefits. This research revealed a potential TCP1 role regarding alisertib resistance in BC, providing new sights into more effective therapeutic plans.
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Affiliation(s)
- Xiaoqiang Zhang
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
- Breast Disease Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Li Shen
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yanhui Zhu
- Breast Disease Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Changyuan Zhai
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hanling Zeng
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaoan Liu
- Breast Disease Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jing Tao
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
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45
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Gao Y, Huang Q, Qin Y, Bao X, Pan Y, Mo J, Ning S. A prognostic model related to necrotizing apoptosis of breast cancer based on biorthogonal constrained depth semi-supervised nonnegative matrix decomposition and single-cell sequencing analysis. Am J Cancer Res 2023; 13:3875-3897. [PMID: 37818066 PMCID: PMC10560928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 07/31/2023] [Indexed: 10/12/2023] Open
Abstract
Breast cancer (BC) is one of the most common malignant tumours in women, and its prognosis is poor. The prognosis of BC patients can be improved by immunotherapy. However, due to the heterogeneity of BC, the identification of new biomarkers is urgently needed to improve the prognosis of BC patients. Necrotic apoptosis has been shown to play an essential role in many cancers. First, this study proposed a novel clustering algorithm called biorthogonal constrained depth semisupervised nonnegative matrix factorization (DO-DSNMF). The DO-DSNMF algorithm added multilayer nonlinear transformation to the coefficient matrix obtained after decomposition, which was used to mine the nonlinear relationship between samples. In addition, we also added orthogonal constraints on the basis matrix and coefficient matrix to reduce the influence of redundant features and samples on the results. We applied the DO-DSNMF algorithm and analysed the differences in survival and immunity between the subtypes. Then, we used prognosis analysis to construct the prognosis model. Finally, we analysed single cells using single-cell sequencing (scRNA-seq) data from the GSE75688 dataset in the GEO database. We identified two BC subtypes based on the BC transcriptome data in the TCGA database. Immune infiltration analysis showed that the necrotizing apoptosis-related genes of BC were related to various immune cells and immune functions. Necrotizing apoptosis was found to play a role in BC progression and immunity. The role of prognosis-related NRGs in BC was also verified by cell experiments. This study proposed a novel clustering algorithm to analyse BC subtypes and constructed an NRG prognostic model for BC. The prognosis and immune landscape of BC patients were evaluated by this model. The cell experiment supported its role in BC, which provides a potential therapeutic target for the treatment of BC.
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Affiliation(s)
- Yuan Gao
- Department of Head and Neck Radiotherapy, Harbin Medical University Cancer Hospital Harbin 150000, Heilongjiang, China
| | - Qinghua Huang
- Department of Breast Surgery, Wuzhou Red Cross Hospital Wuzhou 543000, Guangxi, China
| | - Yuling Qin
- Department of Clinical Laboratory, Guangxi Medical University Cancer Hospital Nanning 530000, Guangxi, China
| | - Xianhui Bao
- Department of Neurology, Harbin The First Hospital Harbin 150000, Heilongjiang, China
| | - You Pan
- Department of Breast Surgery, Guangxi Medical University Cancer Hospital Nanning 530000, Guangxi, China
| | - Jianlan Mo
- Department of Anesthesiology, The Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region Nanning 530000, Guangxi, China
| | - Shipeng Ning
- Department of Breast Surgery, Guangxi Medical University Cancer Hospital Nanning 530000, Guangxi, China
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Esparcia-Pinedo L, Romero-Laorden N, Alfranca A. Tertiary lymphoid structures and B lymphocytes: a promising therapeutic strategy to fight cancer. Front Immunol 2023; 14:1231315. [PMID: 37622111 PMCID: PMC10445545 DOI: 10.3389/fimmu.2023.1231315] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
Tertiary lymphoid structures (TLSs) are clusters of lymphoid cells with an organization that resembles that of secondary lymphoid organs. Both structures share common developmental characteristics, although TLSs usually appear in chronically inflamed non-lymphoid tissues, such as tumors. TLSs contain diverse types of immune cells, with varying degrees of spatial organization that represent different stages of maturation. These structures support both humoral and cellular immune responses, thus the correlation between the existence of TLS and clinical outcomes in cancer patients has been extensively studied. The finding that TLSs are associated with better prognosis in some types of cancer has led to the design of therapeutic strategies based on promoting the formation of these structures. Agents such as chemokines, cytokines, antibodies and cancer vaccines have been used in combination with traditional antitumor treatments to enhance TLS generation, with good results. The induction of TLS formation therefore represents a novel and promising avenue for the treatment of a number of tumor types.
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Affiliation(s)
- Laura Esparcia-Pinedo
- Immunology Department, Hospital Universitario de La Princesa and Instituto de Investigación Sanitaria Princesa, Madrid, Spain
- Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Nuria Romero-Laorden
- Medical Oncology Department, Hospital Universitario de La Princesa and Instituto de Investigación Sanitaria Princesa, Madrid, Spain
- Cátedra Universidad Autónoma de Madrid (UAM)-Fundación Instituto Roche de Medicina Personalizada de Precisión, Madrid, Spain
| | - Arantzazu Alfranca
- Immunology Department, Hospital Universitario de La Princesa and Instituto de Investigación Sanitaria Princesa, Madrid, Spain
- Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- Cátedra Universidad Autónoma de Madrid (UAM)-Fundación Instituto Roche de Medicina Personalizada de Precisión, Madrid, Spain
- Centro de Investigación Biomédica en Red Cardiovascular, CIBERCV, Madrid, Spain
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Kametani Y, Ito R, Ohshima S, Manabe Y, Ohno Y, Shimizu T, Yamada S, Katano N, Kirigaya D, Ito K, Matsumoto T, Tsuda B, Kashiwagi H, Goto Y, Yasuda A, Maeki M, Tokeshi M, Seki T, Fukase K, Mikami M, Ando K, Ishimoto H, Shiina T. Construction of the systemic anticancer immune environment in tumour-bearing humanized mouse by using liposome-encapsulated anti-programmed death ligand 1 antibody-conjugated progesterone. Front Immunol 2023; 14:1173728. [PMID: 37492571 PMCID: PMC10364058 DOI: 10.3389/fimmu.2023.1173728] [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: 02/25/2023] [Accepted: 06/26/2023] [Indexed: 07/27/2023] Open
Abstract
Immune checkpoint inhibitors highlight the importance of anticancer immunity. However, their clinical utility and safety are limited by the low response rates and adverse effects. We focused on progesterone (P4), a hormone produced by the placenta during pregnancy, because it has multiple biological activities related to anticancer and immune regulation effects. P4 has a reversible immune regulatory function distinct from that of the stress hormone cortisol, which may drive irreversible immune suppression that promotes T cell exhaustion and apoptosis in patients with cancer. Because the anticancer effect of P4 is induced at higher than physiological concentrations, we aimed to develop a new anticancer drug by encapsulating P4 in liposomes. In this study, we prepared liposome-encapsulated anti-programmed death ligand 1 (PD-L1) antibody-conjugated P4 (Lipo-anti-PD-L1-P4) and evaluated the effects on the growth of MDA-MB-231 cells, a PD-L1-expressing triple-negative breast cancer cell line, in vitro and in NOG-hIL-4-Tg mice transplanted with human peripheral blood mononuclear cells (humanized mice). Lipo-anti-PD-L1-P4 at physiological concentrations reduced T cell exhaustion and proliferation of MDA-MB-231 in vitro. Humanized mice bearing MDA-MB-231 cells expressing PD-L1 showed suppressed tumor growth and peripheral tissue inflammation. The proportion of B cells and CD4+ T cells decreased, whereas the proportion of CD8+ T cells increased in Lipo-anti-PD-L1-P4-administrated mice spleens and tumor-infiltrated lymphocytes. Our results suggested that Lipo-anti-PD-L1-P4 establishes a systemic anticancer immune environment with minimal toxicity. Thus, the use of P4 as an anticancer drug may represent a new strategy for cancer treatment.
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Affiliation(s)
- Yoshie Kametani
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
- Institute of Advanced Biosciences, Tokai University, Hiratsuka, Kanagawa, Japan
| | - Ryoji Ito
- Human Disease Model Laboratory, Department of Applied Research for Laboratory Animals, Central Institute for Experimental Animals, Kawasaki, Japan
| | - Shino Ohshima
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
| | - Yoshiyuki Manabe
- Department of Chemistry, Graduate School of Science, Osaka University, Osaka, Japan
- Forefront Research Center, Osaka University, Osaka, Japan
| | - Yusuke Ohno
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
- Human Disease Model Laboratory, Department of Applied Research for Laboratory Animals, Central Institute for Experimental Animals, Kawasaki, Japan
| | - Tomoka Shimizu
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
| | - Soga Yamada
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
| | - Nagi Katano
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
| | - Daiki Kirigaya
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
| | - Keita Ito
- Department of Chemistry, Graduate School of Science, Osaka University, Osaka, Japan
| | - Takuya Matsumoto
- Department of Chemistry, Graduate School of Science, Osaka University, Osaka, Japan
| | - Banri Tsuda
- Department of Palliative Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Hirofumi Kashiwagi
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Isehara, Japan
| | - Yumiko Goto
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Isehara, Japan
| | - Atsushi Yasuda
- Department of Internal Medicine, Division of Nephrology, Endocrinology, and Metabolism, Tokai University School of Medicine, Isehara, Japan
| | | | - Manabu Tokeshi
- Faculty of Engineering, Hokkaido University, Sapporo, Japan
| | - Toshiro Seki
- Department of Internal Medicine, Division of Nephrology, Endocrinology, and Metabolism, Tokai University School of Medicine, Isehara, Japan
| | - Koichi Fukase
- Department of Chemistry, Graduate School of Science, Osaka University, Osaka, Japan
- Forefront Research Center, Osaka University, Osaka, Japan
| | - Mikio Mikami
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Isehara, Japan
| | - Kiyoshi Ando
- Department of Hematology and Oncology, Tokai University School of Medicine, Isehara, Japan
- Department of Hematology and Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
| | - Hitoshi Ishimoto
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Isehara, Japan
| | - Takashi Shiina
- Department of Molecular Life Science, Division of Basic Medical Science, Tokai University School of Medicine, Isehara, Japan
- Institute of Advanced Biosciences, Tokai University, Hiratsuka, Kanagawa, Japan
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Agrawal P, Jain N, Gopalan V, Timon A, Singh A, Rajagopal PS, Hannenhalli S. Network-based approach elucidates critical genes in BRCA subtypes and chemotherapy response in Triple Negative Breast Cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.21.541618. [PMID: 37425784 PMCID: PMC10327220 DOI: 10.1101/2023.05.21.541618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Breast cancers exhibit substantial transcriptional heterogeneity, posing a significant challenge to the prediction of treatment response and prognostication of outcomes. Especially, translation of TNBC subtypes to the clinic remains a work in progress, in part because of a lack of clear transcriptional signatures distinguishing the subtypes. Our recent network-based approach, PathExt, demonstrates that global transcriptional changes in a disease context are likely mediated by a small number of key genes, and these mediators may better reflect functional or translationally relevant heterogeneity. We apply PathExt to 1059 BRCA tumors and 112 healthy control samples across 4 subtypes to identify frequent, key-mediator genes in each BRCA subtype. Compared to conventional differential expression analysis, PathExt-identified genes (1) exhibit greater concordance across tumors, revealing shared as well as BRCA subtype-specific biological processes, (2) better recapitulate BRCA-associated genes in multiple benchmarks, and (3) exhibit greater dependency scores in BRCA subtype-specific cancer cell lines. Single cell transcriptomes of BRCA subtype tumors reveal a subtype-specific distribution of PathExt-identified genes in multiple cell types from the tumor microenvironment. Application of PathExt to a TNBC chemotherapy response dataset identified TNBC subtype-specific key genes and biological processes associated with resistance. We described putative drugs that target top novel genes potentially mediating drug resistance. Overall, PathExt applied to breast cancer refines previous views of gene expression heterogeneity and identifies potential mediators of TNBC subtypes, including potential therapeutic targets.
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Affiliation(s)
- Piyush Agrawal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Vishaka Gopalan
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Annan Timon
- University of Pennsylvania, Philadelphia, PA, USA
| | - Arashdeep Singh
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Padma S Rajagopal
- Cancer Data Science Lab, National Cancer Institute, NIH, Bethesda, MD, USA
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Li R, Cao L. The role of tumor-infiltrating lymphocytes in triple-negative breast cancer and the research progress of adoptive cell therapy. Front Immunol 2023; 14:1194020. [PMID: 37275874 PMCID: PMC10233026 DOI: 10.3389/fimmu.2023.1194020] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 05/09/2023] [Indexed: 06/07/2023] Open
Abstract
The treatment outcome of breast cancer is closely related to estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression. Triple-negative breast cancer (TNBC) lacking ER, PR, and HER2 expression has limited treatment options and a poor prognosis. Tumor-infiltrating lymphocytes (TILs) play a role in promoting or resisting tumors by affecting the tumor microenvironment and are known as key regulators in breast cancer progression. However, treatments for TNBC (e.g., surgery, chemotherapy and radiotherapy) have non-satisfaction's curative effect so far. This article reviews the role of different types of TILs in TNBC and the research progress of adoptive cell therapy, aiming to provide new therapeutic approaches for TNBC.
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Affiliation(s)
- Ruonan Li
- Oncology Department, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Lili Cao
- Oncology Department, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational Medicine and Shandong Lung Cancer Institute, Jinan, China
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50
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Liu S, Fan S, Wang Y, Chen R, Wang Z, Zhang Y, Jiang W, Chen Y, Xu X, Yu Y, Li C, Li X. ACSL4 serves as a novel prognostic biomarker correlated with immune infiltration in Cholangiocarcinoma. BMC Cancer 2023; 23:444. [PMID: 37193981 DOI: 10.1186/s12885-023-10903-5] [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: 12/28/2022] [Accepted: 04/28/2023] [Indexed: 05/18/2023] Open
Abstract
BACKGROUND Cholangiocarcinoma (CHOL) is the second most common primary hepatic malignant tumor, following hepatocellular carcinoma (HCC). CHOL is highly aggressive and heterogeneous resulting in poor prognosis. The diagnosis and prognosis of CHOL has not improved in the past decade. Acyl-CoA synthetase long-chain family member 4 (ACSL4) is reported to be associated with tumors, however, its role in CHOL has not been revealed. This study is mainly for exploring the prognostic values and potential function of ACSL4 in CHOL. METHODS We investigated the expression level and prognostic value of ACSL4 in CHOL based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. TIMER2.0, TISIDB and CIBERSORT databases were utilized to assess the associations between ACSL4 and immune infiltration cells in CHOL. Single-cell sequencing data from GSE138709 was analyzed to study the expression of ACSL4 in different types of cells. ACSL4 co-expressed genes were analyzed by Linkedomics. Additionally, Western Blot, qPCR, EdU assay, CCK8 assay, transwell assay and wound healing assay were performed to further confirm the roles of ACSL4 in the pathogenesis of CHOL. RESULTS We found that the level of ACSL4 was higher in CHOL and it was correlated with the diagnosis and prognosis of CHOL patients. Then, we observed that the infiltration level of immune cells was related to the level of ACSL4 in CHOL. Moreover, ACSL4 and its co-expressed genes were mainly enriched in metabolism-related pathway and ACSL4 is also a key pro-ferroptosis gene in CHOL. Finally, knockdown of ACSL4 could reverse the tumor-promoting effect of ACSL4 in CHOL. CONCLUSIONS The current findings demonstrated ACSL4 may as a novel biomarker for CHOL patients, which might regulate immune microenvironment and metabolism resulting in poor prognosis.
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Affiliation(s)
- Shuochen Liu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Shilong Fan
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Yirui Wang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Ruixiang Chen
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Ziyi Wang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yaodong Zhang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Wangjie Jiang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Yananlan Chen
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Xiao Xu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Yue Yu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China.
| | - Changxian Li
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China.
| | - Xiangcheng Li
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
- Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing, China.
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