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Hanahan D, Michielin O, Pittet MJ. Convergent inducers and effectors of T cell paralysis in the tumour microenvironment. Nat Rev Cancer 2025; 25:41-58. [PMID: 39448877 DOI: 10.1038/s41568-024-00761-z] [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: 09/23/2024] [Indexed: 10/26/2024]
Abstract
Tumorigenesis embodies the formation of a heterotypic tumour microenvironment (TME) that, among its many functions, enables the evasion of T cell-mediated immune responses. Remarkably, most TME cell types, including cancer cells, fibroblasts, myeloid cells, vascular endothelial cells and pericytes, can be stimulated to deploy immunoregulatory programmes. These programmes involve regulatory inducers (signals-in) and functional effectors (signals-out) that impair CD8+ and CD4+ T cell activity through cytokines, growth factors, immune checkpoints and metabolites. Some signals target specific cell types, whereas others, such as transforming growth factor-β (TGFβ) and prostaglandin E2 (PGE2), exert broad, pleiotropic effects; as signals-in, they trigger immunosuppressive programmes in most TME cell types, and as signals-out, they directly inhibit T cells and also modulate other cells to reinforce immunosuppression. This functional diversity and redundancy pose a challenge for therapeutic targeting of the immune-evasive TME. Fundamentally, the commonality of regulatory programmes aimed at abrogating T cell activity, along with paracrine signalling between cells of the TME, suggests that many normal cell types are hard-wired with latent functions that can be triggered to prevent inappropriate immune attack. This intrinsic capability is evidently co-opted throughout the TME, enabling tumours to evade immune destruction.
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Affiliation(s)
- Douglas Hanahan
- Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland.
- Agora Cancer Research Center, Lausanne, Switzerland.
- Swiss Cancer Center Léman (SCCL), Lausanne, Switzerland.
- Ludwig Institute for Cancer Research, Lausanne Branch, Lausanne, Switzerland.
| | - Olivier Michielin
- Agora Cancer Research Center, Lausanne, Switzerland
- Swiss Cancer Center Léman (SCCL), Lausanne, Switzerland
- Department of Oncology, Geneva University Hospitals (HUG), Geneva, Switzerland
- Department of Medicine, University of Geneva (UNIGE), Geneva, Switzerland
| | - Mikael J Pittet
- Agora Cancer Research Center, Lausanne, Switzerland
- Swiss Cancer Center Léman (SCCL), Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Lausanne Branch, Lausanne, Switzerland
- Department of Oncology, Geneva University Hospitals (HUG), Geneva, Switzerland
- Department of Pathology and Immunology, University of Geneva (UNIGE), Geneva, Switzerland
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2
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Chen K, Li Y, Ni J, Yang X, Zhou Y, Pang Y, Ye R, Chen H, Yu S, Wang P, Zhu Z. Identification of a novel subtype of SPP1 + macrophages expressing SIRPα: implications for tumor immune evasion and treatment response prediction. Exp Hematol Oncol 2024; 13:119. [PMID: 39696410 DOI: 10.1186/s40164-024-00587-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2024] [Accepted: 12/02/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUND SPP1 + macrophages are among the major phagocytic cells, yet promoting tumor immune evasion and predicting unfavorable prognosis, in various cancer types. Meanwhile, the predictive value of the abundance of SPP1 + macrophages in patients receiving immunotherapy remains debatable, indicating the potential existence of subtypes of SPP1 + macrophages with diverse biological functions. METHODS The single cell RNA sequencing data of myeloid cells integrated from several cancers including esophageal squamous cell carcinoma was analyzed for characterizing the function and cellular interactions of SPP1 + macrophages expressing SIRPα. Multiplexed immunohistochemistry was used to quantify the quantity and spatial distribution of SPP1 + macrophages expressing SIRPα. Kaplan-Meier method was used for survival analysis. In vitro and in vivo studies investigating the function of SPP1 + macrophages were performed. RESULTS SPP1 + macrophages possessed a high phagocytic signature and could engulf more tumor cells in vitro and in vivo. SIRPα expression could represent the phagocytic activity of SPP1 + macrophages and delineated subsets of SPP1 + macrophages with different functions. SPP1 + SIRPα + macrophages showed close spatial distance to tumor cells and positively correlated with PD1 + CD8 + T cells. A high abundance of SPP1 + SIRPα + macrophages at baseline corresponded to patients' response to PD-1/PD-L1 inhibitors. CONCLUSION A novel subtype of SPP1 + macrophages expressing SIRPα was identified and their abundance predicted patients' response to PD-1/PD-L1 inhibitors.
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Affiliation(s)
- Kun Chen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yida Li
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Jianjiao Ni
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
| | - Xi Yang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
| | - Yue Zhou
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
| | - Yechun Pang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
| | - Ruiting Ye
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
| | - Hongru Chen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
| | - Silai Yu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China
| | - Peng Wang
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University, Shanghai, China
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong An Road, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Clinical Research Center for Radiation Oncology, Shanghai, China.
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.
- Institute of Thoracic Oncology, Fudan University, Shanghai, China.
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Huang CX, Lao XM, Wang XY, Ren YZ, Lu YT, Shi W, Wang YZ, Wu CY, Xu L, Chen MS, Gao Q, Liu L, Wei Y, Kuang DM. Pericancerous cross-presentation to cytotoxic T lymphocytes impairs immunotherapeutic efficacy in hepatocellular carcinoma. Cancer Cell 2024; 42:2082-2097.e10. [PMID: 39547231 DOI: 10.1016/j.ccell.2024.10.012] [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: 06/11/2024] [Revised: 09/09/2024] [Accepted: 10/21/2024] [Indexed: 11/17/2024]
Abstract
Hyperprogressive disease can occur in cancer patients receiving immune checkpoint blockade (ICB) therapy, but whether and how reactive cytotoxic T lymphocytes (CTLs) exert protumorigenic effects in this context remain elusive. Herein, our study reveals that pericancerous macrophages cross-present antigens to CD103+ CTLs in hepatocellular carcinoma (HCC) via the endoplasmic reticulum (ER)-associated degradation machinery-mediated cytosolic pathway. This process leads to the retention of CD103+ CTLs in the pericancerous area, whereby they activate NLRP3 inflammasome in macrophages, promoting hepatoma progression and resistance to immunotherapy. Our single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics analysis of HCC patients shows that despite their tissue-resident effector phenotype, the aggregation of CD103+ CTLs predicts unfavorable clinical outcomes for HCC patients receiving multiple types of treatment. Correspondingly, therapeutic strategies that redistribute CD103+ CTLs can disrupt this pathogenic interplay with macrophages, enhancing the efficacy of ICB treatment against HCC.
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MESH Headings
- Carcinoma, Hepatocellular/immunology
- Carcinoma, Hepatocellular/therapy
- Carcinoma, Hepatocellular/pathology
- Liver Neoplasms/immunology
- Liver Neoplasms/therapy
- Liver Neoplasms/pathology
- T-Lymphocytes, Cytotoxic/immunology
- Humans
- Immunotherapy/methods
- Macrophages/immunology
- Mice
- Animals
- Integrin alpha Chains/metabolism
- Integrin alpha Chains/immunology
- Cross-Priming/immunology
- Antigens, CD/metabolism
- Antigens, CD/immunology
- Immune Checkpoint Inhibitors/therapeutic use
- Immune Checkpoint Inhibitors/pharmacology
- NLR Family, Pyrin Domain-Containing 3 Protein/metabolism
- NLR Family, Pyrin Domain-Containing 3 Protein/immunology
- Inflammasomes/immunology
- Inflammasomes/metabolism
- Tumor Microenvironment/immunology
- Cell Line, Tumor
- Mice, Inbred C57BL
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Affiliation(s)
- Chun-Xiang Huang
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Xiang-Ming Lao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Xu-Yan Wang
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Yi-Zheng Ren
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Yi-Tong Lu
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Wei Shi
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Ying-Zhe Wang
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Cai-Yuan Wu
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Li Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Min-Shan Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Qiang Gao
- Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Lianxin Liu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Yuan Wei
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; Innovation Center of the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
| | - Dong-Ming Kuang
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; Innovation Center of the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510275, China.
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4
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Walker C, Angelo M. Toward clinical applications of spatial-omics in cancer research. NATURE CANCER 2024; 5:1771-1773. [PMID: 39690225 DOI: 10.1038/s43018-024-00868-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2024]
Affiliation(s)
- Cameron Walker
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Michael Angelo
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA, USA.
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5
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Chi J, Gao Q, Liu D. Tissue-Resident Macrophages in Cancer: Friend or Foe? Cancer Med 2024; 13:e70387. [PMID: 39494816 PMCID: PMC11533131 DOI: 10.1002/cam4.70387] [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: 07/18/2024] [Revised: 10/15/2024] [Accepted: 10/20/2024] [Indexed: 11/05/2024] Open
Abstract
INTRODUCTION Macrophages are essential in maintaining homeostasis, combating infections, and influencing the process of various diseases, including cancer. Macrophages originate from diverse lineages: Notably, tissue-resident macrophages (TRMs) differ from hematopoietic stem cells and circulating monocyte-derived macrophages based on genetics, development, and function. Therefore, understanding the recruited and TRM populations is crucial for investigating disease processes. METHODS By searching literature databses, we summarized recent relevant studies. Research has shown that tumor-associated macrophages (TAMs) of distinct origins accumulate in tumor microenvironment (TME), with TRM-derived TAMs closely resembling gene signatures of normal TRMs. RESULTS Recent studies have revealed that TRMs play a crucial role in cancer progression. However, organ-specific effects complicate TRM investigations. Nonetheless, the precise involvement of TRMs in tumors is unclear. This review explores the multifaceted roles of TRMs in cancer, presenting insights into their origins, proliferation, the latest research methodologies, their impact across various tumor sites, their potential and strategies as therapeutic targets, interactions with other cells within the TME, and the internal heterogeneity of TRMs. CONCLUSIONS We believe that a comprehensive understanding of the multifaceted roles of TRMs will pave the way for targeted TRM therapies in the treatment of cancer.
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Affiliation(s)
- Jianhua Chi
- Department of Obstetrics and GynecologyNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and MetastasisTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Qinglei Gao
- Department of Obstetrics and GynecologyNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and MetastasisTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Dan Liu
- Department of Obstetrics and GynecologyNational Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and MetastasisTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanChina
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Gong D, Arbesfeld-Qiu JM, Perrault E, Bae JW, Hwang WL. Spatial oncology: Translating contextual biology to the clinic. Cancer Cell 2024; 42:1653-1675. [PMID: 39366372 DOI: 10.1016/j.ccell.2024.09.001] [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] [Received: 05/17/2024] [Revised: 08/01/2024] [Accepted: 09/06/2024] [Indexed: 10/06/2024]
Abstract
Microscopic examination of cells in their tissue context has been the driving force behind diagnostic histopathology over the past two centuries. Recently, the rise of advanced molecular biomarkers identified through single cell profiling has increased our understanding of cellular heterogeneity in cancer but have yet to significantly impact clinical care. Spatial technologies integrating molecular profiling with microenvironmental features are poised to bridge this translational gap by providing critical in situ context for understanding cellular interactions and organization. Here, we review how spatial tools have been used to study tumor ecosystems and their clinical applications. We detail findings in cell-cell interactions, microenvironment composition, and tissue remodeling for immune evasion and therapeutic resistance. Additionally, we highlight the emerging role of multi-omic spatial profiling for characterizing clinically relevant features including perineural invasion, tertiary lymphoid structures, and the tumor-stroma interface. Finally, we explore strategies for clinical integration and their augmentation of therapeutic and diagnostic approaches.
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Affiliation(s)
- Dennis Gong
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeanna M Arbesfeld-Qiu
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard University, Graduate School of Arts and Sciences, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Ella Perrault
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard University, Graduate School of Arts and Sciences, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Jung Woo Bae
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William L Hwang
- Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard University, Graduate School of Arts and Sciences, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA.
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7
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Yang L, Wei X, Sun P, Wang J, Zhou X, Zhang X, Luo W, Zhou Y, Zhang W, Fang S, Chao J. Deciphering the spatial organization of fibrotic microenvironment in silica particles-induced pulmonary fibrosis. JOURNAL OF HAZARDOUS MATERIALS 2024; 478:135540. [PMID: 39178783 DOI: 10.1016/j.jhazmat.2024.135540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 07/24/2024] [Accepted: 08/14/2024] [Indexed: 08/26/2024]
Abstract
Silicosis represents a form of interstitial lung disease induced by the inhalation of silica particles in production environments. A key pathological characteristic of silica-induced pulmonary fibrosis is its localized tissue heterogeneity, which presents significant challenges in analyzing transcriptomic data due to the loss of important spatial context. To address this, we integrate spatial gene expression data with single-cell analyses and achieve a detailed mapping of cell types within and surrounding fibrotic regions, revealing significant shifts in cell populations in normal and diseased states. Additionally, we explore cell interactions within fibrotic zones using ligand-receptor mapping, deepening our understanding of cellular dynamics in these areas. We identify a subset of fibroblasts, termed Inmt fibroblasts, that play a suppressive role in the fibrotic microenvironment. Validating our findings through a comprehensive suite of bioinformatics, histological, and cell culture studies highlights the role of monocyte-derived macrophages in shifting Inmt fibroblast populations into profibrotic Grem1 fibroblast, potentially disrupting lung homeostasis in response to external challenges. Hence, the spatially detailed deconvolution offered by our research markedly advances the comprehension of cell dynamics and environmental interactions pivotal in the development of pulmonary fibrosis.
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Affiliation(s)
- Liliang Yang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Xinyan Wei
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China
| | - Piaopiao Sun
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Jing Wang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Xinbei Zhou
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China
| | - Xinxin Zhang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Wei Luo
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China; School of Medicine, Xizang Minzu University, Xianyang, Shanxi 712082, China
| | - Yun Zhou
- Department of Health Management, School of Health Science, West Yunnan University of Applied Sciences, Dali, Yunnan 671000 China
| | - Wei Zhang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Shencun Fang
- Department of Respiratory Medicine, Nanjing Chest hospital, The Affiliated Brain Hospital of Nanjing Medical University, China.
| | - Jie Chao
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Department of Physiology, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China; School of Medicine, Xizang Minzu University, Xianyang, Shanxi 712082, China.
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8
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Nagasawa S, Zenkoh J, Suzuki Y, Suzuki A. Spatial omics technologies for understanding molecular status associated with cancer progression. Cancer Sci 2024; 115:3208-3217. [PMID: 39042942 PMCID: PMC11447966 DOI: 10.1111/cas.16283] [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: 05/30/2024] [Accepted: 07/02/2024] [Indexed: 07/25/2024] Open
Abstract
Cancer cells are generally exposed to numerous extrinsic stimulations in the tumor microenvironment. In this environment, cancer cells change their expression profiles to fight against circumstantial stresses, allowing their progression in the challenging tissue space. Technological advancements of spatial omics have had substantial influence on cancer genomics. This technical progress, especially that occurring in the spatial transcriptome, has been drastic and rapid. Here, we describe the latest spatial analytical technologies that have allowed omics feature characterization to retain their spatial and histopathological information in cancer tissues. Several spatial omics platforms have been launched, and the latest platforms finally attained single-cell level or even higher subcellular level resolution. We discuss several key papers elucidating the initial utility of the spatial analysis. In fact, spatial transcriptome analyses reveal comprehensive omics characteristics not only in cancer cells but also their surrounding cells, such as tumor infiltrating immune cells and cancer-associated fibroblasts. We also introduce several spatial omics platforms. We describe our own attempts to investigate molecular events associated with cancer progression. Furthermore, we discuss the next challenges in analyzing the multiomics status of cells, including their morphology and location. These novel technologies, in conjunction with spatial transcriptome analysis and, more importantly, with histopathology, will elucidate even novel key aspects of the intratumor heterogeneity of cancers. Such enhanced knowledge is expected to open a new path for overcoming therapeutic resistance and eventually to precisely stratify patients.
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Affiliation(s)
- Satoi Nagasawa
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier SciencesThe University of TokyoChibaJapan
| | - Junko Zenkoh
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier SciencesThe University of TokyoChibaJapan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier SciencesThe University of TokyoChibaJapan
| | - Ayako Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier SciencesThe University of TokyoChibaJapan
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9
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de la Calle-Fabregat C, Calafell-Segura J, Gardet M, Dunsmore G, Mulder K, Ciudad L, Silvin A, Moreno-Càceres J, Corbí ÁL, Muñoz-Pinedo C, Michels J, Gouy S, Dutertre CA, Rodríguez-Ubreva J, Ginhoux F, Ballestar E. NF-κB and TET2 promote macrophage reprogramming in hypoxia that overrides the immunosuppressive effects of the tumor microenvironment. SCIENCE ADVANCES 2024; 10:eadq5226. [PMID: 39292770 PMCID: PMC11409945 DOI: 10.1126/sciadv.adq5226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 08/12/2024] [Indexed: 09/20/2024]
Abstract
Macrophages orchestrate tissue homeostasis and immunity. In the tumor microenvironment (TME), macrophage presence is largely associated with poor prognosis because of their reprogramming into immunosuppressive cells. We investigated the effects of hypoxia, a TME-associated feature, on the functional, epigenetic, and transcriptional reprogramming of macrophages and found that hypoxia boosts their immunogenicity. Hypoxic inflammatory macrophages are characterized by a cluster of proinflammatory genes undergoing ten-eleven translocation-mediated DNA demethylation and overexpression. These genes are regulated by NF-κB, while HIF1α dominates the transcriptional reprogramming, demonstrated through ChIP-seq and pharmacological inhibition. In bladder and ovarian carcinomas, hypoxic inflammatory macrophages are enriched in immune-infiltrated tumors, correlating with better patient prognoses. Coculture assays and cell-cell communication analyses support that hypoxic-activated macrophages enhance T cell-mediated responses. The NF-κB-associated hypomethylation signature is displayed by a subset of hypoxic inflammatory macrophages, isolated from ovarian tumors. Our results challenge paradigms regarding the effects of hypoxia on macrophages and highlight actionable target cells to modulate anticancer immune responses.
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Affiliation(s)
- Carlos de la Calle-Fabregat
- Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain
- INSERM UMR1015, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Josep Calafell-Segura
- Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain
| | - Margaux Gardet
- INSERM UMR1015, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Garett Dunsmore
- INSERM UMR1015, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Kevin Mulder
- INSERM UMR1015, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Laura Ciudad
- Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain
| | - Aymeric Silvin
- INSERM UMR1015, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Joaquim Moreno-Càceres
- Preclinical and Experimental Research in Thoracic Tumors (PReTT), Oncobell Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ángel L. Corbí
- Myeloid Cell Laboratory, Centro de Investigaciones Biológicas, CSIC, Madrid, Spain
| | - Cristina Muñoz-Pinedo
- Preclinical and Experimental Research in Thoracic Tumors (PReTT), Oncobell Program, Institut d’Investigació Biomèdica de Bellvitge (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Judith Michels
- INSERM UMR1186, Integrative Tumor Immunology and Immunotherapy, Gustave Roussy, Faculté de Médecine, Université Paris-Saclay, 94805 Villejuif, France
- Département de Médecine Oncologique, Gustave Roussy, 94805 Villejuif, France
| | - Sébastien Gouy
- Department of Surgical Oncology, Gustave Roussy, 94805 Villejuif, France
| | | | - Javier Rodríguez-Ubreva
- Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain
| | - Florent Ginhoux
- INSERM UMR1015, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Esteban Ballestar
- Epigenetics and Immune Disease Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Barcelona, Spain
- Epigenetics in Inflammatory and Metabolic Diseases Laboratory, Health Science Center (HSC), East China Normal University (ECNU), Shanghai 200241, China
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10
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You W, Hu C, Zhao M, Zhang Y, Lu J, Huang Y, Li L, Chen Y. Extending inflamed-class signature to predict immune checkpoint inhibitor-based combination therapy in hepatocellular carcinoma. Gut 2024:gutjnl-2024-333375. [PMID: 39266052 DOI: 10.1136/gutjnl-2024-333375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Accepted: 08/27/2024] [Indexed: 09/14/2024]
Affiliation(s)
- Wenhua You
- School of Chemistry and Chemical Engineering, Center of Interventional Radiology and Vascular Surgery, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, Jiangsu, China
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center & Department of Immunology, School of Basic Medical Sciences, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, Jiangsu, China
- National Innovation Platform for Integration of Medical Engineering Education (NMEE), Southeast University, Nanjing, Jiangsu, China
- Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China
- State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China
| | - Chupeng Hu
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center & Department of Immunology, School of Basic Medical Sciences, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Mengya Zhao
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center & Department of Immunology, School of Basic Medical Sciences, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuhan Zhang
- School of Chemistry and Chemical Engineering, Center of Interventional Radiology and Vascular Surgery, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, Jiangsu, China
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center & Department of Immunology, School of Basic Medical Sciences, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jinying Lu
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center & Department of Immunology, School of Basic Medical Sciences, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yedi Huang
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center & Department of Immunology, School of Basic Medical Sciences, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ling Li
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, Jiangsu, China
| | - Yun Chen
- School of Chemistry and Chemical Engineering, Center of Interventional Radiology and Vascular Surgery, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, Jiangsu, China
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center & Department of Immunology, School of Basic Medical Sciences, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Endocrinology, Zhongda Hospital, School of Medicine, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, Southeast University, Nanjing, Jiangsu, China
- National Innovation Platform for Integration of Medical Engineering Education (NMEE), Southeast University, Nanjing, Jiangsu, China
- Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China
- State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China
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11
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Rannikko JH, Hollmén M. Clinical landscape of macrophage-reprogramming cancer immunotherapies. Br J Cancer 2024; 131:627-640. [PMID: 38831013 PMCID: PMC11333586 DOI: 10.1038/s41416-024-02715-6] [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: 02/15/2024] [Revised: 05/03/2024] [Accepted: 05/08/2024] [Indexed: 06/05/2024] Open
Abstract
Tumour-associated macrophages (TAMs) sustain a tumour-supporting and immunosuppressive milieu and therefore aggravate cancer prognosis. To modify TAM behaviour and unlock their anti-tumoural potential, novel TAM-reprogramming immunotherapies are being developed at an accelerating rate. At the same time, scientific discoveries have highlighted more sophisticated TAM phenotypes with complex biological functions and contradictory prognostic associations. To understand the evolving clinical landscape, we reviewed current and past clinically evaluated TAM-reprogramming cancer therapeutics and summarised almost 200 TAM-reprogramming agents investigated in more than 700 clinical trials. Observable overall trends include a high frequency of overlapping strategies against the same therapeutic targets, development of more complex strategies to improve previously ineffective approaches and reliance on combinatory strategies for efficacy. However, strong anti-tumour efficacy is uncommon, which encourages re-directing efforts on identifying biomarkers for eligible patient populations and comparing similar treatments earlier. Future endeavours will benefit from considering the shortcomings of past treatment strategies and accommodating the emerging complexity of TAM biology.
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Affiliation(s)
- Jenna H Rannikko
- MediCity Research Laboratory and InFLAMES Flagship, University of Turku, Turku, Finland
- Turku Doctoral Program of Molecular Medicine, University of Turku, Turku, Finland
| | - Maija Hollmén
- MediCity Research Laboratory and InFLAMES Flagship, University of Turku, Turku, Finland.
- Faron Pharmaceuticals Ltd, Turku, Finland.
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12
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Chu X, Tian Y, Lv C. Decoding the spatiotemporal heterogeneity of tumor-associated macrophages. Mol Cancer 2024; 23:150. [PMID: 39068459 PMCID: PMC11282869 DOI: 10.1186/s12943-024-02064-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Accepted: 07/09/2024] [Indexed: 07/30/2024] Open
Abstract
Tumor-associated macrophages (TAMs) are pivotal in cancer progression, influencing tumor growth, angiogenesis, and immune evasion. This review explores the spatial and temporal heterogeneity of TAMs within the tumor microenvironment (TME), highlighting their diverse subtypes, origins, and functions. Advanced technologies such as single-cell sequencing and spatial multi-omics have elucidated the intricate interactions between TAMs and other TME components, revealing the mechanisms behind their recruitment, polarization, and distribution. Key findings demonstrate that TAMs support tumor vascularization, promote epithelial-mesenchymal transition (EMT), and modulate extracellular matrix (ECM) remodeling, etc., thereby enhancing tumor invasiveness and metastasis. Understanding these complex dynamics offers new therapeutic targets for disrupting TAM-mediated pathways and overcoming drug resistance. This review underscores the potential of targeting TAMs to develop innovative cancer therapies, emphasizing the need for further research into their spatial characteristics and functional roles within the TME.
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Affiliation(s)
- Xiangyuan Chu
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, P. R. China
| | - Yu Tian
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, P. R. China.
| | - Chao Lv
- Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, P. R. China.
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13
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van Baarle L, De Simone V, Schneider L, Santhosh S, Abdurahiman S, Biscu F, Schneider R, Zanoletti L, Siqueira de Mello R, Verbandt S, Hu Z, Stakenborg M, Ke BJ, Stakenborg N, Salvador Laureano R, García-Reyes B, Henn J, Toma M, Vanmechelen M, Boeckxstaens G, De Smet F, Garg AD, Ibiza S, Tejpar S, Wehner S, Matteoli G. IL-1R signaling drives enteric glia-macrophage interactions in colorectal cancer. Nat Commun 2024; 15:6079. [PMID: 39030280 PMCID: PMC11271635 DOI: 10.1038/s41467-024-50438-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 07/11/2024] [Indexed: 07/21/2024] Open
Abstract
Enteric glia have been recently recognized as key components of the colonic tumor microenvironment indicating their potential role in colorectal cancer pathogenesis. Although enteric glia modulate immune responses in other intestinal diseases, their interaction with the colorectal cancer immune cell compartment remains unclear. Through a combination of single-cell and bulk RNA-sequencing, both in murine models and patients, here we find that enteric glia acquire an immunomodulatory phenotype by bi-directional communication with tumor-infiltrating monocytes. The latter direct a reactive enteric glial cell phenotypic and functional switch via glial IL-1R signaling. In turn, tumor glia promote monocyte differentiation towards pro-tumorigenic SPP1+ tumor-associated macrophages by IL-6 release. Enteric glia cell abundancy correlates with worse disease outcomes in preclinical models and colorectal cancer patients. Thereby, our study reveals a neuroimmune interaction between enteric glia and tumor-associated macrophages in the colorectal tumor microenvironment, providing insights into colorectal cancer pathogenesis.
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Affiliation(s)
- Lies van Baarle
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Veronica De Simone
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Linda Schneider
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Sneha Santhosh
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
- Department of Anatomy and Physiology, University of Melbourne, Parkville, VIC, Australia
| | - Saeed Abdurahiman
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Francesca Biscu
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK
| | - Reiner Schneider
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Lisa Zanoletti
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Renata Siqueira de Mello
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Sara Verbandt
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Zedong Hu
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Michelle Stakenborg
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Bo-Jun Ke
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Nathalie Stakenborg
- Laboratory for Intestinal Neuro-Immune Interaction, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Raquel Salvador Laureano
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Balbina García-Reyes
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
- Mildred Scheel School of Oncology, Aachen Bonn Cologne Düsseldorf (MSSO ABCD), University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Jonas Henn
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Marieta Toma
- Department of Pathology, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Maxime Vanmechelen
- Translational Cell and Tissue Research Unit, Department of Imaging & Pathology, Laboratory for Precision Cancer Medicine, KU Leuven, Leuven, Belgium
- Leuven Institute for Single-Cell Omics (LISCO), KU Leuven, Leuven, Belgium
| | - Guy Boeckxstaens
- Laboratory for Intestinal Neuro-Immune Interaction, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium
| | - Frederik De Smet
- Translational Cell and Tissue Research Unit, Department of Imaging & Pathology, Laboratory for Precision Cancer Medicine, KU Leuven, Leuven, Belgium
- Leuven Institute for Single-Cell Omics (LISCO), KU Leuven, Leuven, Belgium
| | - Abhishek D Garg
- Cell Stress and Immunity (CSI) Lab, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Sales Ibiza
- Laboratory of Cell Biology & Histology, Department of Veterinary Sciences, University of Antwerp, Antwerp, Belgium
| | - Sabine Tejpar
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sven Wehner
- Department of Surgery, University Hospital Bonn, Medical Faculty, Bonn, Germany.
| | - Gianluca Matteoli
- Laboratory of Mucosal Immunology, Department of Chronic Diseases and Metabolism (CHROMETA), Translational Research Center for Gastrointestinal Disorders (TARGID), KU Leuven, Leuven, Belgium.
- Leuven Institute for Single-Cell Omics (LISCO), KU Leuven, Leuven, Belgium.
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14
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Műzes G, Sipos F. Inflammasomes Are Influenced by Epigenetic and Autophagy Mechanisms in Colorectal Cancer Signaling. Int J Mol Sci 2024; 25:6167. [PMID: 38892354 PMCID: PMC11173330 DOI: 10.3390/ijms25116167] [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: 04/28/2024] [Revised: 05/31/2024] [Accepted: 05/31/2024] [Indexed: 06/21/2024] Open
Abstract
Inflammasomes contribute to colorectal cancer signaling by primarily inducing inflammation in the surrounding tumor microenvironment. Its role in inflammation is receiving increasing attention, as inflammation has a protumor effect in addition to inducing tissue damage. The inflammasome's function is complex and controlled by several layers of regulation. Epigenetic processes impact the functioning or manifestation of genes that are involved in the control of inflammasomes or the subsequent signaling cascades. Researchers have intensively studied the significance of epigenetic mechanisms in regulation, as they encompass several potential therapeutic targets. The regulatory interactions between the inflammasome and autophagy are intricate, exhibiting both advantageous and harmful consequences. The regulatory aspects between the two entities also encompass several therapeutic targets. The relationship between the activation of the inflammasome, autophagy, and epigenetic alterations in CRC is complex and involves several interrelated pathways. This article provides a brief summary of the newest studies on how epigenetics and autophagy control the inflammasome, with a special focus on their role in colorectal cancer. Based on the latest findings, we also provide an overview of the latest therapeutic ideas for this complex network.
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Affiliation(s)
- Györgyi Műzes
- Immunology Division, Department of Internal Medicine and Hematology, Semmelweis University, 1088 Budapest, Hungary
| | - Ferenc Sipos
- Immunology Division, Department of Internal Medicine and Hematology, Semmelweis University, 1088 Budapest, Hungary
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15
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Peng X, Liu C, Zhang L, Chen Y, Mao L, Gao S, Shi X, Zuo L. IL4I1: a novel molecular biomarker represents an inflamed tumor microenvironment and precisely predicts the molecular subtype and immunotherapy response of bladder cancer. Front Pharmacol 2024; 15:1365683. [PMID: 38873416 PMCID: PMC11169701 DOI: 10.3389/fphar.2024.1365683] [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: 01/04/2024] [Accepted: 05/09/2024] [Indexed: 06/15/2024] Open
Abstract
Introduction: IL4I1, also known as Interleukin-4-induced gene 1, is an enzyme that can modulate the immune system by acting as a L-amino acid oxidase. Nevertheless, a precise understanding of the correlation of IL4I1 with immunological features and immunotherapy efficacy in bladder cancer (BLCA) remains incomplete. Methods: We analyzed RNA sequencing data from the Cancer Genome Atlas (TCGA) to investigate the immune function and prognostic importance of IL4I1 across different cancer types. We further examined the TCGA-BLCA cohort for correlations between IL4I1 and various immunological characteristics of tumor microenvironment (TME), such as cancer immune cycle, immune cell infiltration, immune checkpoint expression and T cell inflamed score. Validation was conducted using two independent cohort, GSE48075 and E-MTAB-4321. Finally, RNA sequencing data from the IMvigor210 cohort and immunohistochemistry assays were employed to validate the predictive value of IL4I1 for the TME and immunotherapy efficacy. Results: In our findings, a positive correlation was observed between IL4I1 expression and immunomodulators expression, immune cell infiltration, the cancer immune cycle, and T cell inflamed score in BLCA, suggesting a significant link to the inflamed TME. In addition, studies have shown that IL4I1 elevated levels of individuals tend to be more performance for basal subtype and exhibit enhanced response rates to diverse treatment modalities, specifically immunotherapy. Clinical data from the IMvigor 210 cohort confirmed a higher rate of response to immunotherapy and better survival benefits in patients with high IL4I1 expression. Discussion: To summarize, our research showed that elevated IL4I1 levels are indicative of an inflamed TME, the basal subtype, and a more favorable response to various treatment methods, especially immune checkpoint blockade therapy in BLCA.
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Affiliation(s)
- Xiangrong Peng
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Chuan Liu
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Li Zhang
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Yin Chen
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Lixin Mao
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Shenglin Gao
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
- Department of Urology, Gonghe County Hospital of Traditional Chinese Medicine, Hainan Tibetan Autonomous Prefecture, Qinghai, China
| | - Xiaokai Shi
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Li Zuo
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
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