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Article

Mutational signatures for breast cancer diagnosis using artificial intelligence.

Journal of the Egyptian National Cancer Institute - 15 May 2023

Odhiambo Patrick, Okello Harrison, Wakaanya Annette, Wekesa Clabe, Okoth Patrick

Abstract excerpt

BACKGROUND: Breast cancer is the most common female cancer worldwide. Its diagnosis and prognosis remain scanty, imprecise, and poorly documented. Previous studies have indicated that some genetic mutational signatures are suspected to lead to progression of various breast cancer scenarios. There is paucity of data on the role of AI tools in delineating breast cancer mutational signatures. This study sought to...

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Topics

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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: 37184779
DOI: 10.1186/s43046-023-00173-4
PMCID: PMC13314016

Genes

BRCA1
BRCA2
BRIP1
CASP3
CDH1
CHEK2
CREBBP
PTEN
RAD51C
SMAD3
TP53

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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