Identification of an antigen-presenting cells/T/NK cells-related gene signature to predict prognosis and CTSL to predict immunotherapeutic response for lung adenocarcinoma: an integrated analysis of bulk and single-cell RNA sequencing

被引:7
作者
Huang, Liling [1 ]
Lou, Ning [2 ]
Xie, Tongji [1 ]
Tang, Le [1 ]
Han, Xiaohong [3 ]
Shi, Yuankai [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Clin Res Ctr Canc, Dept Med Oncol,Beijing Key Lab Clin Study Anticanc, Beijing 100021, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Clin Res Ctr Canc, Dept Clin Lab,Beijing Key Lab Clinical Study Antic, Beijing 100021, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Clin Pharmacol Res Ctr, State Key Lab Complex Severe & Rare Dis,NMPA Key L, Beijing 100730, Peoples R China
关键词
Lung adenocarcinoma; Prognosis; Immunotherapy; Markers; CANCER; MECHANISM;
D O I
10.1007/s00262-023-03485-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundAntigen-presenting cells (APC)/T/NK cells are key immune cells that play crucial roles in fighting against malignancies including lung adenocarcinoma (LUAD). In this study, we aimed to identify an APC/T/NK cells-related gene signature (ATNKGS) and potential immune cell-related genes (IRGs) to realize risk stratification, prognosis, and immunotherapeutic response prediction for LUAD patients.MethodsBased on the univariate Cox regression and the LASSO Cox regression results of 196 APC/T/NK cells-related genes collected from three pathways in the KEGG database, we determined the final genes and established the ATNKGS-related risk model. The single-cell RNA sequencing data were applied for key IRGs identification and investigate their value in immunotherapeutic response prediction. Several GEO datasets and an external immunotherapy cohort from Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, were applied for validation.ResultsIn this study, nine independent public datasets including 1108 patients were enrolled. An ATNKGS containing 16 genes for predicting overall survival of LUAD patients was constructed with robust prognostic capability. The ATNKGS high risk group was related to significantly worse OS outcomes than those in the low-risk group, which were verified in TCGA and four GEO datatsets. A nomogram combining the ATNKGS risk score with clinical TNM stage achieved the optimal prediction performance. The single-cell RNA sequencing analysis revealed CTSL as an IRG of macrophage and monocyte. Moreover, though CTSL was an indicator for poor prognosis of LUAD patients, CTSL high expression group was associated with higher ESTIMATEScore, immune checkpoints expression, and lower TIDE score. Several immunotherapeutic cohorts have confirmed the response-predicting significance of CTSL in patients receiving immune checkpoint inhibitor (ICI) treatment.ConclusionsOur study provided an insight into the significant role of APC/T/NK cells-related genes in survival risk stratification and CTSL in response prediction of immunotherapy in patients with LUAD.
引用
收藏
页码:3259 / 3277
页数:19
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