AUTHOR=Wang Jin , Liu Kaifan , Li Jiawen , Zhang Hailong , Gong Xian , Song Xiangrong , Wei Meidan , Hu Yaoyu , Li Jianxiang 

TITLE=Identifying and assessing a prognostic model based on disulfidptosis-related genes: implications for immune microenvironment and tumor biology in lung adenocarcinoma

JOURNAL=Frontiers in Immunology

VOLUME=Volume 15 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1371831

DOI=10.3389/fimmu.2024.1371831

ISSN=1664-3224

ABSTRACT=Lung cancer, which has the highest rate of cancer-related mortality globally, has a bleak prognosis, with nearly 70% of patients diagnosed at a locally advanced stage. Recent investigations have revealed a novel cell death modality, disulfidptosis, promoted by glucose scarcity and SLC7A11. In this study, we utilized least absolute shrinkage and selection operator (LASSO) regression analysis coupled with Cox regression analysis to construct a prognostic model for disulfidptosis-related genes. The model's superiority was substantiated through internal testing and an external validation set, and its robustness and practicability were further evaluated via a nomogram. Subsequent correlation analyses linked the risk score with the infiltration of multiple cancer types and oncogene expression. Enrichment analysis also associated the risk score with key biological processes and KEGG pathways. Among the genes incorporated into the model, CHRNA5 was isolated for further examination of its role in LUAD cells. Our findings emphasize the substantial impact of CHRNA5 on LUAD cell proliferation, migration, and disulfidptosis. In summary, this study successfully developed and verified a robust prognostic model centered on disulfidptosis-related genes, effectively laying a foundation for predicting LUAD patient prognosis.