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

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 aggre...

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Autores principales: Karthik, Govindasamy-Muralidharan, Rantalainen, Mattias, Stålhammar, Gustav, Lövrot, John, Ullah, Ikram, Alkodsi, Amjad, Ma, Ran, Wedlund, Lena, Lindberg, Johan, Frisell, Jan, Bergh, Jonas, Hartman, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708109/
https://www.ncbi.nlm.nih.gov/pubmed/29187174
http://dx.doi.org/10.1186/s12885-017-3815-2
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author Karthik, Govindasamy-Muralidharan
Rantalainen, Mattias
Stålhammar, Gustav
Lövrot, John
Ullah, Ikram
Alkodsi, Amjad
Ma, Ran
Wedlund, Lena
Lindberg, Johan
Frisell, Jan
Bergh, Jonas
Hartman, Johan
author_facet Karthik, Govindasamy-Muralidharan
Rantalainen, Mattias
Stålhammar, Gustav
Lövrot, John
Ullah, Ikram
Alkodsi, Amjad
Ma, Ran
Wedlund, Lena
Lindberg, Johan
Frisell, Jan
Bergh, Jonas
Hartman, Johan
author_sort Karthik, Govindasamy-Muralidharan
collection PubMed
description 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.
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spelling pubmed-57081092017-12-06 Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling Karthik, Govindasamy-Muralidharan Rantalainen, Mattias Stålhammar, Gustav Lövrot, John Ullah, Ikram Alkodsi, Amjad Ma, Ran Wedlund, Lena Lindberg, Johan Frisell, Jan Bergh, Jonas Hartman, Johan BMC Cancer Research Article 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. BioMed Central 2017-11-29 /pmc/articles/PMC5708109/ /pubmed/29187174 http://dx.doi.org/10.1186/s12885-017-3815-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Karthik, Govindasamy-Muralidharan
Rantalainen, Mattias
Stålhammar, Gustav
Lövrot, John
Ullah, Ikram
Alkodsi, Amjad
Ma, Ran
Wedlund, Lena
Lindberg, Johan
Frisell, Jan
Bergh, Jonas
Hartman, Johan
Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
title Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
title_full Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
title_fullStr Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
title_full_unstemmed Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
title_short Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
title_sort intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5708109/
https://www.ncbi.nlm.nih.gov/pubmed/29187174
http://dx.doi.org/10.1186/s12885-017-3815-2
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