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Article

Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.

International journal of molecular sciences - 26 Sept 2022

Nero Camilla, Boldrini Luca, Lenkowicz Jacopo, Giudice Maria Teresa, Piermattei Alessia, Inzani Frediano, Pasciuto Tina, Minucci Angelo, Fagotti Anna, Zannoni Gianfranco, Valentini Vincenzo, Scambia Giovanni

Abstract excerpt

BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ovarian cancer patients. Nevertheless, its assessment is not sufficient to identify all patients with genomic instability, since BRCA 1/2 mutations are only the most well-known mechanisms of homologous recombination deficiency (HR-d) pathway, and patients displaying HR-d behave similarly to BRCA mutated patients....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 36232628
DOI: 10.3390/ijms231911326
PMCID: PMC9570450

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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