GEO series
Bioinformatics analysis of BARX1 as a novel omental metastasis biomarker in high-grade serous ovarian cancer
GSE328488
Homo sapiens
Expression profiling by high throughput sequencing
23 samples
2026/04/24
GPL34284
Summary
Omentum 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.
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