Identification and validation of tumor microenvironment-related signature for predicting prognosis and immunotherapy response in patients with lung adenocarcinoma

作者全名："Li, Chunhong; Yuan, Yixiao; Jiang, Xiulin; Wang, Qiang"

作者地址："[Li, Chunhong; Jiang, Xiulin] Suining Cent Hosp, Dept Oncol, Suining 629000, Sichuan, Peoples R China; [Yuan, Yixiao] Chongqing Med Univ, Affiliated Hosp 1, Chongqing Key Lab Mol Oncol & Epigenet, Chongqing, Peoples R China; [Wang, Qiang] Suining Cent Hosp, Gastrointestinal Surg Unit, Suining 629000, Sichuan, Peoples R China"

通信作者："Jiang, XL (通讯作者)，Suining Cent Hosp, Dept Oncol, Suining 629000, Sichuan, Peoples R China.; Wang, Q (通讯作者)，Suining Cent Hosp, Gastrointestinal Surg Unit, Suining 629000, Sichuan, Peoples R China."

来源：SCIENTIFIC REPORTS

ESI学科分类：Multidisciplinary

WOS号：WOS:001054205700072

JCR分区：Q1

影响因子：4.6

年份：2023

卷号：13

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：　

摘要："Mounting evidence has found that tumor microenvironment (TME) plays an important role in the tumor progression of lung adenocarcinoma (LUAD). However, the roles of tumor microenvironment-related genes in immunotherapy and clinical outcomes remain unclear. In this study, 6 TME-related genes (PLK1, LDHA, FURIN, FSCN1, RAB27B, and MS4A1) were identified to construct the prognostic model. The established risk scores were able to predict outcomes at 1, 3, and 5 years with greater accuracy than previously known models. Moreover, the risk score was closely associated with immune cell infiltration and the immunoregulatory genes including T cell exhaustion markers. In conclusion, the TME risk score can function as an independent prognostic biomarker and a predictor for evaluating immunotherapy response in LUAD patients, which provides recommendations for improving patients' response to immunotherapy and promoting personalized tumor immunotherapy in the future."

基金机构：The authors express sincere gratitude to the TCGA and GEO databases for the availability of data.

基金资助正文：The authors express sincere gratitude to the TCGA and GEO databases for the availability of data.