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Article

Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Cancer medicine - 1 Jan 2018

Reinbolt Raquel E, Sonis Stephen, Timmers Cynthia D, Fernández-Martínez Juan Luis, Cernea Ana, de Andrés-Galiana Enrique J, Hashemi Sepehr, Miller Karin, Pilarski Robert, Lustberg Maryam B

Abstract excerpt

Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor-related arthralgia (AIA). Candidate gene studies to identify AIA risk are limited in scope. We evaluated the potential of a novel analytic algorithm (NAA) to predict AIA using germline single nucleotide polymorphisms (SNP) data obtained before treatment initiation. Systematic chart review of 700 AI-treated...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29168353
DOI: 10.1002/cam4.1256
PMCID: PMC5773952

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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