GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE328nnn/GSE328488/primaryOK200TranscriptomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328488GEOGSEfalseBioinformatics analysis of BARX1 as a novel omental metastasis biomarker in high-grade serous ovarian cancerOmentum is one of the most preferred metastatic sites in patients with high-grade serous ovarian cancer, while the underlying mechanisms remain poorly understood. Here, we aim to identify biomarkers related to omental metastasis in high-grade serous ovarian cancer. In this study, we constructed a risk model comprising FAM9A, BARX1, SNORA79, CIDEA, FABP4, and TRARG1 as risk factors for omental metastasis using the machine-learning methods LASSO and Random Forest. And we identified BARX1 (BarH-like homeobox 1) as the gene with the highest predictive value. Further studies validated the high expression of BARX1 across pan-cancers and its association with immune cell infiltration using CIBERSORT analysis. Our research underscores the crucial role of BARX1 in OC and highlights its potential as a therapeutic target.2026/04/24GSE328488GSM9684339GSM9684349GSM9684338GSM9684348GSM9684337GSM9684336GSM9684347GSM9684346GSM9684335GSM9684357GSM9684345GSM9684356GSM9684355GSM9684344GSM9684343GSM9684354GSM9684342GSM9684353GSM9684352GSM9684341GSM9684351GSM9684340GSM968435034284328488Homo sapiens