Frontiers in Medicine, Год журнала: 2025, Номер 12

Опубликована: Март 7, 2025

Lung cancer remains a major global health issue, with non-small cell lung (NSCLC) constituting approximately 85% of cases. Ferritinophagy, pivotal autophagic process in ferroptosis, plays an essential role tumor initiation and progression. However, the specific contributions ferritinophagy-related genes (FRGs) to NSCLC pathogenesis remain incompletely understood. In this study, weighted gene co-expression network analysis (WGCNA) was employed identify key modular associated FRG scores. Genes overlapping between these modules differentially expressed (DEGs) were selected for further investigation. Prognostic identified through univariate Cox regression least absolute shrinkage selection operator (LASSO) analysis, subsequent validation using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) on both clinical samples TCGA-NSCLC dataset. A nomogram incorporating clinicopathological features risk scores developed predict patient outcomes. Further analyses focused functional enrichment, drug sensitivity, immune microenvironment. Cross-referencing 2,142 2,764 DEGs revealed 600 candidate genes. Univariate LASSO candidates eight prognostic genes: KLK8, MFI2, B3GNT3, MYRF, CREG2, GLB1L3, AHNAK2, NLRP10. Two distinct groups exhibited significant survival differences. Both score pathological N stage found be independent factors, forming basis nomogram. Notable correlations observed certain cells, genes, responses, affecting efficacy immunotherapy sensitivity. qRT-PCR confirmed that, except NLRP10, all expression patterns consistent data. This study highlights FRGs prognosis regulation, offering novel insights personalized treatment strategies.

Язык: Английский