Other

Dataset Information

0

Integrated Spatial Analysis Reveals the Molecular Landscape of Ovarian Precancerous Lesions


ABSTRACT: Studying precancerous lesions is essential for improving early detection and prevention, particularly in aggressive cancers such as ovarian carcinoma. Here, we conducted integrated and spatial analyses of transcriptomes, aneuploidy, and clinicopathological features in 166 ovarian precancerous lesions. Four pre-cancerous transcriptomic subtypes were identified: proliferative, immunoreactive, dormant, and mixed. These subtypes varied in their frequency of germline-BRCA1/2 mutations, aneuploidy, CCNE1/MYC amplification, proliferative activity, immune-regulatory gene expression, and histological features. Notably, the immunoreactive subtype upregulated immune-regulatory genes, exhibited chronic inflammation, and was enriched in cases with germline-BRCA1/2 mutations, deletions of chromosomes 17 (harboring TP53 and BRCA1) and 13 (harboring BRCA2), leading to a double “two-hit” involving TP53 and BRCA1/2. Tumor invasion was associated with the activation of interferon response pathways, epithelial-mesenchymal transition, and extracellular matrix remodeling. In summary, these results elucidate the earliest molecular landscape of ovarian precancerous lesions, serving as the foundation for future risk stratification to identify aggressive pre-cancerous lesions.

ORGANISM(S): Homo sapiens

PROVIDER: GSE298031 | GEO | 2025/12/06

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2025-11-21 | GSE310429 | GEO
2025-11-21 | GSE310067 | GEO
2021-09-28 | GSE182487 | GEO
2022-01-24 | GSE190134 | GEO
2019-11-28 | GSE141142 | GEO
2021-12-31 | GSE111688 | GEO
2013-04-09 | E-GEOD-37126 | biostudies-arrayexpress
2023-01-09 | GSE222379 | GEO
2021-11-02 | PXD019639 | Pride
| PRJDB16141 | ENA