Abstract

The presence of infiltrating CD8+ T lymphocytes in the tumor microenvironment of lung adenocarcinoma (LUAD) is correlated with improved patient prognosis, but underlying regulatory mechanisms remain unknown. To identify biomarkers to improve early diagnosis and treatment of LUAD, we downloaded 13 immune cell line-associated datasets from the GEO database. We identified CD8+ T cell-associated genes via weighted correlation network analysis. We constructed molecular subtypes based on CD8+ T cell-associated genes and constructed a multi-gene signature. We identified 252 CD8+ T cell-associated genes significantly enriched in immune function-related pathways and two molecular subtypes of LUAD (immune cluster 1 [IC1] and IC2) using our CD8+ T cell-associated gene signature. Patients with the IC2 subtype had a higher tumor mutation burden and lower immune infiltration scores, whereas those with the IC1 subtype were more sensitive to immune checkpoint inhibitors. Prioritizing the top candidate genes to construct a 10-gene signature, we validated our model using independent GSE and TCGA datasets to confirm its robustness and stable prognostic ability. Our risk model demonstrated good predictive efficacy using the Imvigor210 immunotherapy dataset. Thus, we established a novel and robust CD8+ T cell-associated gene signature, which could help assess prognostic risk and immunotherapy response in LUAD patients.

Highlights

  • Lung cancer, the leading cause of cancer-related deaths worldwide [1, 2], is distinguished by two histological subtypes: small cell lung cancer and non-small cell lung cancer

  • We obtained the original data of single-cell data GSE148071 (42 samples in total), retained 18 patient samples of lung adenocarcinoma, and performed cell annotation analysis

  • The results indicated that the patients with the IC1 subtype in the TCGA-lung adenocarcinoma (LUAD) dataset were more sensitive to both cytotoxic T lymphocyte-associated protein 4 (CTLA4) and programmed death protein 1 (PD-1) inhibitors, but only CTLA4 monotherapy was effective for patients with the IC1 subtype in the GSE-LUAD dataset, as shown in Figures 8A, E

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Summary

Introduction

The leading cause of cancer-related deaths worldwide [1, 2], is distinguished by two histological subtypes: small cell lung cancer and non-small cell lung cancer. The most common subtype of non-small cell lung cancer is lung adenocarcinoma (LUAD), which accounts for 40% of lung cancer cases. Early diagnosis and treatment of LUAD have become essential research aims [3, 4]. Diagnosis of LUAD is challenging because of the lack of early biomarkers and symptoms. Local progression likely ensues by the time patients exhibit symptoms and receive a differential diagnosis, missing the optimal time for surgical treatment [5,6,7]. Exploring prognostic methods specific to LUAD patients is urgently needed to provide personalized treatment and management plans

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