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Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling

Authors :
Jan Frisell
Johan Lindberg
Johan Hartman
Lena Wedlund
Jonas Bergh
Ikram Ullah
Ran Ma
Amjad Alkodsi
Govindasamy-Muralidharan Karthik
Mattias Rantalainen
Gustav Stålhammar
John Lövrot
Research Programs Unit
Genome-Scale Biology (GSB) Research Program
Sampsa Hautaniemi / Principal Investigator
University of Helsinki
Source :
BMC Cancer, BMC Cancer, Vol 17, Iss 1, Pp 1-11 (2017)
Publication Year :
2017
Publisher :
BioMed Central, 2017.

Abstract

Background Transcriptomic profiling of breast tumors provides opportunity for subtyping and molecular-based patient stratification. In diagnostic applications the specimen profiled should be representative of the expression profile of the whole tumor and ideally capture properties of the most aggressive part of the tumor. However, breast cancers commonly exhibit intra-tumor heterogeneity at molecular, genomic and in phenotypic level, which can arise during tumor evolution. Currently it is not established to what extent a random sampling approach may influence molecular breast cancer diagnostics. Methods In this study we applied RNA-sequencing to quantify gene expression in 43 pieces (2-5 pieces per tumor) from 12 breast tumors (Cohort 1). We determined molecular subtype and transcriptomic grade for all tumor pieces and analysed to what extent pieces originating from the same tumors are concordant or discordant with each other. Additionally, we validated our finding in an independent cohort consisting of 19 pieces (2-6 pieces per tumor) from 6 breast tumors (Cohort 2) profiled using microarray technique. Exome sequencing was also performed on this cohort, to investigate the extent of intra-tumor genomic heterogeneity versus the intra-tumor molecular subtype classifications. Results Molecular subtyping was consistent in 11 out of 12 tumors and transcriptomic grade assignments were consistent in 11 out of 12 tumors as well. Molecular subtype predictions revealed consistent subtypes in four out of six patients in this cohort 2. Interestingly, we observed extensive intra-tumor genomic heterogeneity in these tumor pieces but not in their molecular subtype classifications. Conclusions Our results suggest that macroscopic intra-tumoral transcriptomic heterogeneity is limited and unlikely to have an impact on molecular diagnostics for most patients. Electronic supplementary material The online version of this article (10.1186/s12885-017-3815-2) contains supplementary material, which is available to authorized users.

Details

Language :
English
ISSN :
14712407
Volume :
17
Database :
OpenAIRE
Journal :
BMC Cancer
Accession number :
edsair.doi.dedup.....f457d8ef3495a0c0d444bd31409578b6