Full original research code of Construction and Preliminary Exploration of a Prognostic Model for Ovarian Cancer Based on Focal Adhesion-Related Genes

Focal adhesion (FA) signalling contributes to ovarian cancer (OV) progression, but the prognostic value of FA-related genes remains incompletely defined. This study aimed to identify prognostic FA-related markers, establish a survival prediction model, and explore its potential clinical significance in OV.Public transcriptomic datasets and clinical information were analysed together with 1,793 FA-related genes (FARGs). Candidate prognostic genes were selected, and a gene-based risk score was developed, assessed, and externally validated. Cox regression was used to identify independent prognostic factors. Gene set enrichment and immune-related analyses were performed, and RT-qPCR was conducted in clinical samples (OV: n = 5; normal: n = 5).This study found that RELN, PIK3CD, MYL2, and DIAPH1 were retained to construct the four-gene signature, which demonstrated stable prognostic performance across the training, internal validation, and external validation cohorts. The nomogram accurately predicted 1-, 3-, and 5-year survival. High-risk patients showed broader immune-cell infiltration, higher immune checkpoint expression, and different predicted drug-sensitivity patterns. RT-qPCR further indicated that DIAPH1 and RELN were upregulated in ovarian cancer tissues. RELN, PIK3CD, MYL2, and DIAPH1 were identified as prognostic genes related to OV. This study developed a FARG-based signature for survival assessment; however, its clinical use should be verified in independent prospective cohorts with complete follow-up information.