The expression profiles of signature genes from CD103(+)LAG3(+) tumour-infiltrating lymphocyte subsets predict breast cancer survival

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Xia, Zi-An;Lu, Can;Pan, Can;Li, Jia;Li, Jun;...

通讯作者：

Sun, Lunquan;He, J;Sun, LQ

作者机构：

[Xia, Zi-An] Cent South Univ, Xiangya Hosp, Dept Integrated Tradit Chinese & Western Med, Changsha 410008, Peoples R China.

[Xia, Zi-An; He, Jiang; Sun, Lunquan] Cent South Univ, Natl Clin Res Ctr Geriatr Disorders, XiangyaHosp, Changsha 410008, Peoples R China.

[Lu, Can] Cent South Univ, Xiangya Hosp, Dept Pathol, Changsha 410078, Peoples R China.

[Pan, Can] Hunan Univ Tradit Chinese Med, Sch Clin Med, Changsha 410208, Peoples R China.

[Li, Jia] Cent South Univ, Xiangya Hosp, Dept Emergency, Changsha 410008, Peoples R China.

通讯机构：

[Sun, LQ ; He, J ; Sun, LQ]

Cent South Univ, Natl Clin Res Ctr Geriatr Disorders, XiangyaHosp, Changsha 410008, Peoples R China.

Cent South Univ, Xiangya Canc Ctr, Dept Oncol, XiangyaHosp, Changsha 410008, Peoples R China.

Key Lab Mol Radiat Oncol Hunan Prov, Changsha 410008, Peoples R China.

Hunan Int Sci & Technol Collaborat Base Precis Med, Changsha 410008, Peoples R China.

语种：

英文

关键词：

Large-scale data analysis;Tumour-infiltrating lymphocytes;CD103;LAG3;Immunotherapy;Chemotherapy

期刊：

BMC Medicine

ISSN：

1741-7015

年：

2023

卷：

期：

页码：

1-18

DOI：

10.1186/s12916-023-02960-1

基金类别：

This work was supported by grants from the National Science Foundation of China (grant numbers: 81803948 to Z.A.X., and 81530084 to J.H) and Hunan province natural science funds (grant numbers: 2020JJ5932 to Z.A.X., and 2023JJ30880 to J.H).

机构署名：

本校为其他机构

院系归属：

临床医学院

摘要：

Tumour-infiltrating lymphocytes (TILs), including T and B cells, have been demonstrated to be associated with tumour progression. However, the different subpopulations of TILs and their roles in breast cancer remain poorly understood. Large-scale analysis using multiomics data could uncover potential mechanisms and provide promising biomarkers for predicting immunotherapy response. Single-cell transcriptome data for breast cancer samples were analysed to identify unique TIL subsets. Based on the expression profiles of marker genes in these subsets, a TIL-related prognostic model was developed ...

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The expression profiles of signature genes from CD103(+)LAG3(+) tumour-infiltrating lymphocyte subsets predict breast cancer survival

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