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Published in: Breast Cancer Research and Treatment 1/2015

01-08-2015 | Clinical trial

Tumor RNA disruption predicts survival benefit from breast cancer chemotherapy

Authors: Amadeo M. Parissenti, Baoqing Guo, Laura B. Pritzker, Kenneth P. H. Pritzker, Xiaohui Wang, Mu Zhu, Lois E. Shepherd, Maureen E. Trudeau

Published in: Breast Cancer Research and Treatment | Issue 1/2015

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Abstract

In a prior substudy of the CAN-NCIC-MA.22 clinical trial (ClinicalTrials.gov identifier NCT00066443), we observed that neoadjuvant chemotherapy reduced tumor RNA integrity in breast cancer patients, a phenomenon we term “RNA disruption.” The purpose of the current study was to assess in the full patient cohort the relationship between mid-treatment tumor RNA disruption and both pCR post-treatment and, subsequently, disease-free survival (DFS) up to 108 months post-treatment. To meet these objectives, we developed the RNA disruption assay (RDA) to quantify RNA disruption and stratify it into 3 response zones of clinical importance. Zone 1 is a level of RNA disruption inadequate for pathologic complete response (pCR); Zone 2 is an intermediate level, while Zone 3 has high RNA disruption. The same RNA disruption cut points developed for pCR response were then utilized for DFS. Tumor RDA identified >fourfold more chemotherapy non-responders than did clinical response by calipers. pCR responders were clustered in RDA Zone 3, irrespective of tumor subtype. DFS was about 2-fold greater for patients with tumors in Zone 3 compared to Zone 1 patients. Kaplan–Meier survival curves corroborated these findings that high tumor RNA disruption was associated with increased DFS. DFS values for patients in zone 3 that did not achieve a pCR were similar to that of pCR recipients across tumor subtypes, including patients with hormone receptor positive tumors that seldom achieve a pCR. RDA appears superior to pCR as a chemotherapy response biomarker, supporting the prospect of its use in response-guided chemotherapy.
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Metadata
Title
Tumor RNA disruption predicts survival benefit from breast cancer chemotherapy
Authors
Amadeo M. Parissenti
Baoqing Guo
Laura B. Pritzker
Kenneth P. H. Pritzker
Xiaohui Wang
Mu Zhu
Lois E. Shepherd
Maureen E. Trudeau
Publication date
01-08-2015
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2015
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-015-3498-9

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