Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm-Reference-Cited by-同舟云学术

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

Published:2017-11-23 Issue:1 Volume:7 Page:240-253
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Med

Author:

Reinbolt Raquel E.¹^ORCID,Sonis Stephen²³,Timmers Cynthia D.¹,Fernández-Martínez Juan Luis²⁴,Cernea Ana²⁴,de Andrés-Galiana Enrique J.²⁴,Hashemi Sepehr²⁵,Miller Karin¹,Pilarski Robert¹,Lustberg Maryam B.¹

Affiliation:

1. The Ohio State University Comprehensive Cancer Center; Columbus Ohio

2. Primary Endpoint Solutions; Watertown Massachusetts

3. Brigham and Women's Hospital and the Dana-Farber Cancer Institute; Boston Massachusetts

4. University of Oviedo; Oviedo Spain

5. Harvard School of Dental Medicine; Boston Massachusetts

Funder

The Stefanie Spielman Breast Cancer Fund

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Reference70 articles.

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3. Meta-analysis of breast cancer outcome and toxicity in adjuvant trials of aromatase inhibitors in postmenopausal women;Aydiner;Breast,2013

4. Aromatase inhibitor-induced arthralgia: a review;Niravath;Ann. Oncol.,2013

5. Prospective characterization of musculoskeletal symptoms in early stage breast cancer patients treated with aromatase inhibitors;Henry;Breast Cancer Res. Treat.,2008

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