{"database":"GEO","file_versions":[],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Homo sapiens"],"gds_type":["Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328488"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Bioinformatics analysis of BARX1 as a novel omental metastasis biomarker in high-grade serous ovarian cancer","description":"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.","dates":{"publication":"2026/04/24"},"accession":"GSE328488","cross_references":{"GSM":["GSM9684339","GSM9684349","GSM9684338","GSM9684348","GSM9684337","GSM9684347","GSM9684336","GSM9684346","GSM9684335","GSM9684357","GSM9684356","GSM9684345","GSM9684355","GSM9684344","GSM9684343","GSM9684354","GSM9684353","GSM9684342","GSM9684352","GSM9684341","GSM9684351","GSM9684340","GSM9684350"],"GPL":["34284"],"GSE":["328488"],"taxon":["Homo sapiens"]}}