Transcriptomics

Dataset Information

0

Bioinformatics analysis of BARX1 as a novel omental metastasis biomarker in high-grade serous ovarian cancer


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE328488 | GEO | 2026/04/24

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2019-09-20 | GSE120196 | GEO
2017-07-11 | PXD005554 | Pride
2020-07-02 | GSE135712 | GEO
2023-11-28 | PXD042317 | Pride
2023-11-28 | PXD042320 | Pride
2020-07-02 | GSE133296 | GEO
2025-11-26 | PXD061586 | Pride
2023-11-28 | PXD045024 | Pride
| PRJNA1455556 | ENA
2014-07-14 | GSE52999 | GEO