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Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis

Tumor-infiltrating lymphocytes (TILs), especially CD8(+) TILs, represent a favorable prognostic factor in high-grade serous ovarian cancer (HGSOC) and other tumor lineages. Here, we analyze the spatial heterogeneity of different TIL subtypes in HGSOC. We integrated RNA sequencing, whole-genome seque...

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Detalles Bibliográficos
Autores principales: Yang, Bin, Li, Xiong, Zhang, Wei, Fan, Junpeng, Zhou, Yong, Li, Wenting, Yin, Jingjing, Yang, Xiaohang, Guo, Ensong, Li, Xi, Fu, Yu, Liu, Si, Hu, Dianxing, Qin, Xu, Dou, Yingyu, Xiao, Rourou, Lu, Funian, Wang, Zizhuo, Qin, Tianyu, Wang, Wei, Zhang, Qinghua, Li, Shuaicheng, Ma, Ding, Mills, Gordon B., Chen, Gang, Sun, Chaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798026/
https://www.ncbi.nlm.nih.gov/pubmed/36543113
http://dx.doi.org/10.1016/j.xcrm.2022.100856
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author Yang, Bin
Li, Xiong
Zhang, Wei
Fan, Junpeng
Zhou, Yong
Li, Wenting
Yin, Jingjing
Yang, Xiaohang
Guo, Ensong
Li, Xi
Fu, Yu
Liu, Si
Hu, Dianxing
Qin, Xu
Dou, Yingyu
Xiao, Rourou
Lu, Funian
Wang, Zizhuo
Qin, Tianyu
Wang, Wei
Zhang, Qinghua
Li, Shuaicheng
Ma, Ding
Mills, Gordon B.
Chen, Gang
Sun, Chaoyang
author_facet Yang, Bin
Li, Xiong
Zhang, Wei
Fan, Junpeng
Zhou, Yong
Li, Wenting
Yin, Jingjing
Yang, Xiaohang
Guo, Ensong
Li, Xi
Fu, Yu
Liu, Si
Hu, Dianxing
Qin, Xu
Dou, Yingyu
Xiao, Rourou
Lu, Funian
Wang, Zizhuo
Qin, Tianyu
Wang, Wei
Zhang, Qinghua
Li, Shuaicheng
Ma, Ding
Mills, Gordon B.
Chen, Gang
Sun, Chaoyang
author_sort Yang, Bin
collection PubMed
description Tumor-infiltrating lymphocytes (TILs), especially CD8(+) TILs, represent a favorable prognostic factor in high-grade serous ovarian cancer (HGSOC) and other tumor lineages. Here, we analyze the spatial heterogeneity of different TIL subtypes in HGSOC. We integrated RNA sequencing, whole-genome sequencing, bulk T cell receptor (TCR) sequencing, as well as single-cell RNA/TCR sequencing to investigate the characteristics and differential composition of TILs across different HGSOC sites. Two immune “cold” patterns in ovarian cancer are identified: (1) ovarian lesions with low infiltration of mainly dysfunctional T cells and immunosuppressive Treg cells and (2) omental lesions infiltrated with non-tumor-specific bystander cells. Exhausted CD8 T cells that are preferentially enriched in ovarian tumors exhibit evidence for expansion and cytotoxic activity. Inherent tumor immune microenvironment characteristics appear to be the main contributor to the spatial differences in TIL status. The landscape of spatial heterogeneity of TILs may inform potential strategies for therapeutic manipulation in HGSOC.
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spelling pubmed-97980262022-12-30 Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis Yang, Bin Li, Xiong Zhang, Wei Fan, Junpeng Zhou, Yong Li, Wenting Yin, Jingjing Yang, Xiaohang Guo, Ensong Li, Xi Fu, Yu Liu, Si Hu, Dianxing Qin, Xu Dou, Yingyu Xiao, Rourou Lu, Funian Wang, Zizhuo Qin, Tianyu Wang, Wei Zhang, Qinghua Li, Shuaicheng Ma, Ding Mills, Gordon B. Chen, Gang Sun, Chaoyang Cell Rep Med Article Tumor-infiltrating lymphocytes (TILs), especially CD8(+) TILs, represent a favorable prognostic factor in high-grade serous ovarian cancer (HGSOC) and other tumor lineages. Here, we analyze the spatial heterogeneity of different TIL subtypes in HGSOC. We integrated RNA sequencing, whole-genome sequencing, bulk T cell receptor (TCR) sequencing, as well as single-cell RNA/TCR sequencing to investigate the characteristics and differential composition of TILs across different HGSOC sites. Two immune “cold” patterns in ovarian cancer are identified: (1) ovarian lesions with low infiltration of mainly dysfunctional T cells and immunosuppressive Treg cells and (2) omental lesions infiltrated with non-tumor-specific bystander cells. Exhausted CD8 T cells that are preferentially enriched in ovarian tumors exhibit evidence for expansion and cytotoxic activity. Inherent tumor immune microenvironment characteristics appear to be the main contributor to the spatial differences in TIL status. The landscape of spatial heterogeneity of TILs may inform potential strategies for therapeutic manipulation in HGSOC. Elsevier 2022-12-20 /pmc/articles/PMC9798026/ /pubmed/36543113 http://dx.doi.org/10.1016/j.xcrm.2022.100856 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Yang, Bin
Li, Xiong
Zhang, Wei
Fan, Junpeng
Zhou, Yong
Li, Wenting
Yin, Jingjing
Yang, Xiaohang
Guo, Ensong
Li, Xi
Fu, Yu
Liu, Si
Hu, Dianxing
Qin, Xu
Dou, Yingyu
Xiao, Rourou
Lu, Funian
Wang, Zizhuo
Qin, Tianyu
Wang, Wei
Zhang, Qinghua
Li, Shuaicheng
Ma, Ding
Mills, Gordon B.
Chen, Gang
Sun, Chaoyang
Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis
title Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis
title_full Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis
title_fullStr Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis
title_full_unstemmed Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis
title_short Spatial heterogeneity of infiltrating T cells in high-grade serous ovarian cancer revealed by multi-omics analysis
title_sort spatial heterogeneity of infiltrating t cells in high-grade serous ovarian cancer revealed by multi-omics analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798026/
https://www.ncbi.nlm.nih.gov/pubmed/36543113
http://dx.doi.org/10.1016/j.xcrm.2022.100856
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