Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA
Tumor-infiltrating lymphocyte (TIL) is a class of cells with important immune functions and plays a crucial role in bladder cancer (BCa). Several studies have shown the clinical significance of TIL in predicting the prognosis and immunotherapy efficacy. TIL-related gene module was screened utilizing...
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Frontiers Media S.A.
2022-09-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.973974/full |
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author | Zexi He Zexi He Jun Gu Jun Gu Ting Luan Ting Luan Haihao Li Haihao Li Charles Li Zhenjie Chen Zhenjie Chen Enxiu Luo Enxiu Luo Jiansong Wang Jiansong Wang Yinglong Huang Yinglong Huang Mingxia Ding Mingxia Ding |
author_facet | Zexi He Zexi He Jun Gu Jun Gu Ting Luan Ting Luan Haihao Li Haihao Li Charles Li Zhenjie Chen Zhenjie Chen Enxiu Luo Enxiu Luo Jiansong Wang Jiansong Wang Yinglong Huang Yinglong Huang Mingxia Ding Mingxia Ding |
author_sort | Zexi He |
collection | DOAJ |
description | Tumor-infiltrating lymphocyte (TIL) is a class of cells with important immune functions and plays a crucial role in bladder cancer (BCa). Several studies have shown the clinical significance of TIL in predicting the prognosis and immunotherapy efficacy. TIL-related gene module was screened utilizing weighted gene coexpression network analysis. We screened eight TIL-related genes utilizing univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and multivariate Cox regression analysis. Then, we established a TIL-related signature model containing the eight selected genes and subsequently classified all patients into two groups, that is, the high-risk as well as low-risk groups. Gene mutation status, prognosis, immune cell infiltration, immune subtypes, TME, clinical features, and immunotherapy response were assessed among different risk subgroups. The results affirmed that the TIL-related signature model was a reliable predictor of overall survival (OS) for BCa and was determined as an independent risk factor for BCa patients in two cohorts. Moreover, the risk score was substantially linked to age, tumor staging, TNM stage, and pathological grade. And there were different mutational profiles, biological pathways, immune scores, stromal scores, and immune cell infiltration in the tumor microenvironment (TME) between the two risk groups. In particular, immune checkpoint genes’ expression was remarkably different between the two risk groups, with patients belonging to the low-risk group responding better to immune checkpoint inhibition (ICI) therapy. In conclusion, our study demonstrates that the TIL-related model was a reliable signature in anticipating prognosis, immune status, and immunotherapy response, which can help in screening patients who respond to immunotherapy. |
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spelling | doaj.art-fa15012ed80d4c2484e712a9cd43e2c62022-12-22T04:25:51ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-09-011310.3389/fimmu.2022.973974973974Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNAZexi He0Zexi He1Jun Gu2Jun Gu3Ting Luan4Ting Luan5Haihao Li6Haihao Li7Charles Li8Zhenjie Chen9Zhenjie Chen10Enxiu Luo11Enxiu Luo12Jiansong Wang13Jiansong Wang14Yinglong Huang15Yinglong Huang16Mingxia Ding17Mingxia Ding18Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaZhongke Jianlan Medical Research Institute, Beijing, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaUrological Disease Clinical Medical Center of Yunnan Province, The Second Affiliated Hospital of Kunming Medical University, Kunming, ChinaTumor-infiltrating lymphocyte (TIL) is a class of cells with important immune functions and plays a crucial role in bladder cancer (BCa). Several studies have shown the clinical significance of TIL in predicting the prognosis and immunotherapy efficacy. TIL-related gene module was screened utilizing weighted gene coexpression network analysis. We screened eight TIL-related genes utilizing univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and multivariate Cox regression analysis. Then, we established a TIL-related signature model containing the eight selected genes and subsequently classified all patients into two groups, that is, the high-risk as well as low-risk groups. Gene mutation status, prognosis, immune cell infiltration, immune subtypes, TME, clinical features, and immunotherapy response were assessed among different risk subgroups. The results affirmed that the TIL-related signature model was a reliable predictor of overall survival (OS) for BCa and was determined as an independent risk factor for BCa patients in two cohorts. Moreover, the risk score was substantially linked to age, tumor staging, TNM stage, and pathological grade. And there were different mutational profiles, biological pathways, immune scores, stromal scores, and immune cell infiltration in the tumor microenvironment (TME) between the two risk groups. In particular, immune checkpoint genes’ expression was remarkably different between the two risk groups, with patients belonging to the low-risk group responding better to immune checkpoint inhibition (ICI) therapy. In conclusion, our study demonstrates that the TIL-related model was a reliable signature in anticipating prognosis, immune status, and immunotherapy response, which can help in screening patients who respond to immunotherapy.https://www.frontiersin.org/articles/10.3389/fimmu.2022.973974/fulltumor-infiltrating lymphocytesbladder cancerprognosisimmunitytumor microenvironment |
spellingShingle | Zexi He Zexi He Jun Gu Jun Gu Ting Luan Ting Luan Haihao Li Haihao Li Charles Li Zhenjie Chen Zhenjie Chen Enxiu Luo Enxiu Luo Jiansong Wang Jiansong Wang Yinglong Huang Yinglong Huang Mingxia Ding Mingxia Ding Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA Frontiers in Immunology tumor-infiltrating lymphocytes bladder cancer prognosis immunity tumor microenvironment |
title | Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA |
title_full | Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA |
title_fullStr | Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA |
title_full_unstemmed | Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA |
title_short | Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA |
title_sort | comprehensive analyses of a tumor infiltrating lymphocytes related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of wgcna |
topic | tumor-infiltrating lymphocytes bladder cancer prognosis immunity tumor microenvironment |
url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.973974/full |
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