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      Spatial and Single-Cell Transcriptomics Reveal a Cancer-Associated Fibroblast Subset in HNSCC That Restricts Infiltration and Antitumor Activity of CD8 + T Cells

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          Abstract

          Spatial analysis identifies IFN-induced MHC-I hiGal9 + CAFs that form a trap for CD8 + T cells, providing insights into the complex networks in the tumor microenvironment that regulate T-cell infiltration and function.

          Abstract

          Although immunotherapy can prolong survival in some patients with head and neck squamous cell carcinoma (HNSCC), the response rate remains low. Clarification of the critical mechanisms regulating CD8 + T-cell infiltration and dysfunction in the tumor microenvironment could help maximize the benefit of immunotherapy for treating HNSCC. Here, we performed spatial transcriptomic analysis of HNSCC specimens with differing immune infiltration and single-cell RNA sequencing of five pairs of tumor and adjacent tissues, revealing specific cancer-associated fibroblast (CAF) subsets related to CD8 + T-cell infiltration restriction and dysfunction. These CAFs exhibited high expression of CXCLs (CXCL9, CXCL10, and CXCL12) and MHC-I and enrichment of galectin-9 (Gal9). The proportion of MHC-I hiGal9 + CAFs was inversely correlated with abundance of a TCF1 +GZMK + subset of CD8 + T cells. Gal9 on CAFs induced CD8 + T-cell dysfunction and decreased the proportion of tumor-infiltrating TCF1 +CD8 + T cells. Collectively, the identification of MHC-I hiGal9 + CAFs advances the understanding of the precise role of CAFs in cancer immune evasion and paves the way for more effective immunotherapy for HNSCC.

          Significance:

          Spatial analysis identifies IFN-induced MHC-I hiGal9 + CAFs that form a trap for CD8 + T cells, providing insights into the complex networks in the tumor microenvironment that regulate T-cell infiltration and function.

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          Most cited references39

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          GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

          Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
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            TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells.

            Recent clinical successes of cancer immunotherapy necessitate the investigation of the interaction between malignant cells and the host immune system. However, elucidation of complex tumor-immune interactions presents major computational and experimental challenges. Here, we present Tumor Immune Estimation Resource (TIMER; cistrome.shinyapps.io/timer) to comprehensively investigate molecular characterization of tumor-immune interactions. Levels of six tumor-infiltrating immune subsets are precalculated for 10,897 tumors from 32 cancer types. TIMER provides 6 major analytic modules that allow users to interactively explore the associations between immune infiltrates and a wide spectrum of factors, including gene expression, clinical outcomes, somatic mutations, and somatic copy number alterations. TIMER provides a user-friendly web interface for dynamic analysis and visualization of these associations, which will be of broad utilities to cancer researchers. Cancer Res; 77(21); e108-10. ©2017 AACR.
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              A framework for advancing our understanding of cancer-associated fibroblasts

              Cancer-associated fibroblasts (CAFs) are a key component of the tumour microenvironment with diverse functions, including matrix deposition and remodelling, extensive reciprocal signalling interactions with cancer cells and crosstalk with infiltrating leukocytes. As such, they are a potential target for optimizing therapeutic strategies against cancer. However, many challenges are present in ongoing attempts to modulate CAFs for therapeutic benefit. These include limitations in our understanding of the origin of CAFs and heterogeneity in CAF function, with it being desirable to retain some antitumorigenic functions. On the basis of a meeting of experts in the field of CAF biology, we summarize in this Consensus Statement our current knowledge and present a framework for advancing our understanding of this critical cell type within the tumour microenvironment.
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                Author and article information

                Journal
                Cancer Res
                Cancer Res
                Cancer Research
                American Association for Cancer Research
                0008-5472
                1538-7445
                16 January 2024
                06 November 2023
                : 84
                : 2
                : 258-275
                Affiliations
                [1 ]Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
                [2 ]College of Stomatology, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
                [3 ]National Center for Stomatology, Shanghai, People's Republic of China.
                [4 ]National Clinical Research Center for Oral Diseases, Shanghai, People's Republic of China.
                [5 ]Shanghai Key Laboratory of Stomatology, Shanghai, People's Republic of China.
                [6 ]Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China.
                [7 ]Shanghai Center of Head and Neck Oncology Clinical and Translational Science, Shanghai, People's Republic of China.
                [8 ]Department of Clinical Laboratory, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
                [9 ]Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
                [10 ]Department of Oral and Maxillofacial Surgery, Shanghai Stomatological Hospital, Fudan University, Shanghai, People's Republic of China.
                [11 ]Shanghai Research Institute of Stomatology, Shanghai, People's Republic of China.
                [12 ]Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai, People's Republic of China.
                Author notes
                [#]

                C. Li, H. Guo, P. Zhai, and M. Yan contributed equally as co-authors of this article.

                [* ] Corresponding Authors: Jianjun Zhang, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200011, China. E-mail: zjjbio@ 123456sjtu.edu.cn ; Hailong Ma, mahl21@ 123456sjtu.edu.cn ; and Zhiyuan Zhang, zhzhy0502@ 123456163.com

                Cancer Res 2024;84:258–75

                Author information
                https://orcid.org/0000-0003-2217-1735
                https://orcid.org/0009-0001-7706-1077
                https://orcid.org/0000-0003-4483-3306
                https://orcid.org/0000-0002-7126-5976
                https://orcid.org/0000-0001-5376-9196
                https://orcid.org/0009-0006-4576-3900
                https://orcid.org/0009-0004-9339-8536
                https://orcid.org/0000-0002-5539-8760
                https://orcid.org/0009-0007-1191-1626
                https://orcid.org/0000-0003-3845-7420
                https://orcid.org/0000-0003-4110-1417
                https://orcid.org/0000-0002-8329-2357
                Article
                CAN-23-1448
                10.1158/0008-5472.CAN-23-1448
                10790129
                37930937
                8e4da6c8-fc7d-4d2b-9c0a-b8851868fb55
                ©2023 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 14 May 2023
                : 14 September 2023
                : 01 November 2023
                Page count
                Pages: 18
                Funding
                Funded by: National Natural Science Foundation of China (NSFC), DOI 10.13039/501100001809;
                Award ID: 82173148
                Award ID: 81972573
                Award Recipient :
                Funded by: National Natural Science Foundation of China (NSFC), DOI 10.13039/501100001809;
                Award ID: 82273267
                Award ID: 82073036
                Award Recipient :
                Funded by: National Natural Science Foundation of China (NSFC), DOI 10.13039/501100001809;
                Award ID: 82272983
                Award Recipient :
                Funded by: Innovative Research Team of High-level Local University in Shanghai (Innovative Research Team of High-level Local Universities in Shanghai), DOI 10.13039/100020732;
                Award ID: SHSMU-ZLCX20212300
                Award ID: SHSMU-ZLCX20212301
                Award Recipient :
                Funded by: Shanghai Clinical Research Center for Oral Diseases, DOI 10.13039/;
                Award ID: 19MC1910600
                Award Recipient :
                Funded by: Shanghai Municipal Key Clinical Specialty, DOI 10.13039/;
                Award ID: shslczdzk01601
                Award Recipient :
                Funded by: Shanghai's Top Priority Research Center, DOI 10.13039/;
                Award ID: 2022ZZ01017
                Award Recipient :
                Funded by: CAMS Innovation Fund for Medical Sciences CIFMS, DOI 10.13039/;
                Award ID: 2019-I2M-5-037)
                Award Recipient :
                Funded by: National Natural Science Foundation of China (NSFC), DOI 10.13039/501100001809;
                Award ID: 32000552
                Award Recipient :
                Categories
                Head, Neck & Oral Cancers
                Immunology
                Tumor Resistance to Immune Response
                Tumor Microenvironment
                Immune Cells and the Microenvironment
                Tumor-Stromal Cell Interactions
                Cancer Immunology

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