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Molecular profiling of advanced breast cancer tumors is beneficial in assisting clinical treatment plans

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Title: Molecular profiling of advanced breast cancer tumors is beneficial in assisting clinical treatment plans
Authors: Carter, P
Alifrangis, CC
Cereser, B
Chandrasinghe, P
Del Bel Belluz, L
Moderau, N
Poyia, F
Schwartzberg, LS
Tabassum, N
Wen, J
Krell, J
Stebbing, J
Item Type: Journal Article
Abstract: We used data obtained by Caris Life Sciences, to evaluate the benefits of tailoring treatments for a breast carcinoma cohort by using tumor molecular profiles to inform decisions. Data for 92 breast cancer patients from the commercial Caris Molecular Intelligence database was retrospectively divided into two groups, so that the first always followed treatment recommendations, whereas in the second group all patients received at least one drug after profiling that was predicted to lack benefit. The biomarker and drug associations were based on tests including fluorescent in situ hybridization and DNA sequencing, although immunohistochemistry was the main test used. Patients whose drugs matched those recommended according to their tumor profile had an average overall survival of 667 days, compared to 510 days for patients that did not (P=0.0316). In the matched treatment group, 26% of patients were deceased by the last time of monitoring, whereas this was 41% in the unmatched group (P=0.1257). We therefore confirm the ability of tumor molecular profiling to improve survival of breast cancer patients. Immunohistochemistry biomarkers for the androgen, estrogen and progesterone receptors were found to be prognostic for survival.
Issue Date: 3-Apr-2018
Date of Acceptance: 28-Oct-2017
URI: http://hdl.handle.net/10044/1/57375
DOI: https://dx.doi.org/10.18632/oncotarget.24564
ISSN: 1949-2553
Publisher: Impact Journals
Start Page: 17589
End Page: 17596
Journal / Book Title: Oncotarget
Volume: 9
Copyright Statement: © 2018 Carter et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: breast cancer
cancer treatment
tumor profiling
Publication Status: Published
Online Publication Date: 2018-02-24
Appears in Collections:Division of Surgery
Division of Cancer
Faculty of Medicine



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