Prognostic and immune correlation analysis of mitochondrial autophagy and aging-related genes in lung adenocarcinoma.

J Cancer Res Clin Oncol

Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Panjiayuan, Nanli 17, Beijing, 100021, People's Republic of China.

Published: December 2023

AI Article Synopsis

  • The study explores the role of mitophagy and aging-related genes in lung adenocarcinoma (LUAD), highlighting their potential as prognostic indicators.
  • Seven specific genes (CAV1, DSG2, DSP, MYH11, NME1, PAICS, PLOD2) were found to be significantly correlated with patient outcomes and immune cell infiltration levels.
  • A prognostic model utilizing these genes showed strong predictive accuracy for the overall survival of LUAD patients, suggesting implications for future immunotherapy strategies.

Article Abstract

Purpose: Mitophagy and aging (MiAg) are very important pathophysiological mechanisms contributing to tumorigenesis. MiAg-related genes have prognostic value in lung adenocarcinoma (LUAD). However, prognostic, and immune correlation studies of MiAg-related genes in LUAD are lacking.

Methods: MiAg differentially expressed genes (DEGs) in LUAD were obtained from public sequencing datasets. A prognostic model including MiAg DEGs was constructed according to patients divided into low- and high-risk groups. Gene Ontology, gene set enrichment analysis, gene set variation analysis, CIBERSORT immune infiltration analysis, and clinical characteristic correlation analyses were performed for functional annotation and correlation of MiAgs with prognosis in patients with LUAD.

Results: Seven MiAg DEGs of LUAD were identified: CAV1, DSG2, DSP, MYH11, NME1, PAICS, PLOD2, and the expression levels of these genes were significantly correlated (P < 0.05). The RiskScore of the MiAg DEG prognostic model demonstrated high predictive ability of overall survival of patients diagnosed with LUAD. Patients with high and low MiAg phenotypic scores exhibited significant differences in the infiltration levels of eight types of immune cells (P < 0.05). The multi-factor DEG regression model showed higher efficacy in predicting 5-year survival than 3- and 1-year survival of patients with LUAD.

Conclusions: Seven MiAg-related genes were identified to be significantly associated with the prognosis of patients diagnosed with LUAD. Moreover, the identified MiAg DEGs might affect the immunotherapy strategy of patients with LUAD.

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Source
http://dx.doi.org/10.1007/s00432-023-05390-xDOI Listing

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