Positive regulators of T cell proliferation as biomarkers for predicting prognosis and characterizing the immune landscape in lung adenocarcinoma

Yang Li; Gang Peng; Chaoying Qin; Xiangyu Wang; Yue Li; Yueran Li

doi:10.3389/fgene.2022.1003754

Positive regulators of T cell proliferation as biomarkers for predicting prognosis and characterizing the immune landscape in lung adenocarcinoma

Front Genet. 2022 Nov 25:13:1003754. doi: 10.3389/fgene.2022.1003754. eCollection 2022.

Authors

Yang Li^{1

2}, Gang Peng², Chaoying Qin², Xiangyu Wang², Yue Li², Yueran Li^{1

3}

Affiliations

¹ Department of Laboratory Medicine, Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
² Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
³ Department of Gynecology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China.

Abstract

Lung adenocarcinoma (LUAD) is the one of the most prevalent and fatal form of malignant tumors worldwide. Recently, immunotherapy is widely used in the treatment of patients with LUAD and has proved to be clinically effective in improve the prognosis of patients. But there still has been a tremendous thrust to further improve the efficacy of immunotherapy in individual patients with LUAD. The suppression of T cells and their effector functions in the tumor microenvironment (TME) of LUAD is one of the primary reasons for the low efficacy of immunotherapy in some patients with LUAD. Therefore, identifying positive regulators of T cell proliferation (TPRs) may offer novel avenues for LUAD immunotherapy. In this study, we comprehensively evaluated the infiltration patterns of TPRs in 1,066 patients with LUAD using unsupervised consensus clustering and identified correlations with genomic and clinicopathological characteristics. Three infiltrating TPR clusters were defined, and a TPR-related risk signature composed of nine TPRs was constructed using least absolute shrinkage and selection operator-Cox regression algorithms to classify the individual TPR infiltration patterns. Cluster 1 exhibited high levels of T cell infiltration and activation of immune-related signaling pathways, whereas cluster 2 was characterized by robust T cell immune infiltration and enrichment of pathways associated with carcinogenic gene sets and tumor immunity. Cluster 3 was characterized as an immune-desert phenotype. Moreover, the TPR signature was confirmed as an independent prognostic biomarker for drug sensitivity in patients with LUAD. In conclusion, the TPR signature may serve as a novel tool for effectively characterizing immune characteristics and evaluating the prognosis of patients with LUAD.

Keywords: driver of T cell proliferation; immune prognostic model; lung adenocarcinoma; prognosis; tumor microenvironment.