Revealing the significance of tissue-resident memory T cells in lung adenocarcinoma through bioinformatic analysis and experimental validation
Zhuoqi Li, Mei Tian, Yuanhui Yang, Yuanyuan Wang, Lu Zhang, Fujing Huang, Xiao Wen, Xiaoshu Yin, Xiaoyan Lin, Yuan Tian
TL;DR
This study identifies a set of genes in lung tissue-resident memory T cells that can predict survival and treatment outcomes for lung adenocarcinoma patients.
Contribution
A novel prognostic signature based on lung TRM cell-specific genes for predicting LUAD outcomes and treatment response.
Findings
130 differentially expressed lung TRM cell-specific genes were identified, with 14 forming a prognostic signature.
The signature accurately predicted survival and immunotherapy response in LUAD patients, with AUCs up to 0.867 in validation.
TYMS was identified as a key gene linked to LUAD progression and cell proliferation.
Abstract
To investigate the functions of lung TRM cells in the development and treatment of lung adenocarcinoma (LUAD). R-language bioinformatics analysis was applied to obtain differentially expressed (DE) lung TRM cell-specific genes and a related prognostic signature, which were further validated using external datasets, immunohistochemical staining images, and biological experiments. A total of 130 DE lung TRM cell-specific genes were identified, 14 of which were involved in the prognostic signature, including SLC16A3, ARHGAP11A, PTTG1, DTL, GPRIN1, EXO1, GAPDH, TYMS, DAPK2, CCL20, HLA-DQA1, ADAM12, ALOX5AP and OASL. The signature was efficient and robust in predicting the overall survival and anti-PD-1/PD-L1 immunotherapeutic outcomes of patients with LUAD. The AUCs for predicting the 1-, 3-, and 5-year survival rates were 0.688, 0.698, and 0.648, respectively, in the training cohort, and…
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Taxonomy
TopicsCancer Immunotherapy and Biomarkers · Cancer Genomics and Diagnostics · Ferroptosis and cancer prognosis