J 2013

Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer

BUDINSKÁ, Eva, Vlad POPOVICI, Sabine TEJPAR, D Ario GIOVANNI, Nicolas LAPIQUE et. al.

Basic information

Original name

Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer

Authors

BUDINSKÁ, Eva (703 Slovakia, guarantor, belonging to the institution), Vlad POPOVICI (642 Romania, belonging to the institution), Sabine TEJPAR (56 Belgium), D Ario GIOVANNI (756 Switzerland), Nicolas LAPIQUE (756 Switzerland), Katarzyna Otylia SIKORA (756 Switzerland), Antonio Fabio DI NARZO (756 Switzerland), Pu YAN (840 United States of America), John Graeme HODGSON (756 Switzerland), Scott WEINRICH (840 United States of America), Fred BOSMAN (840 United States of America), Arnaud ROTH (756 Switzerland) and Mauro DELORENZI (756 Switzerland)

Edition

JOURNAL OF PATHOLOGY, HOBOKEN, WILEY-BLACKWELL, 2013, 0022-3417

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30200 3.2 Clinical medicine

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 7.330

RIV identification code

RIV/00216224:14110/13:00069863

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1002/path.4212

UT WoS

000322761500008

Keywords in English

colorectal cancer; histopathology; gene expression; molecular heterogeneity

Tags

International impact, Reviewed
Změněno: 23/10/2013 15:22, Soňa Böhmová

Abstract

V originále

The recognition that colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behaviour and response to therapy translates into an urgent need for robust molecular disease subclassifiers that can explain this heterogeneity beyond current parameters (MSI, KRAS, BRAF). Attempts to fill this gap are emerging. The Cancer Genome Atlas (TGCA) reported two main CRC groups, based on the incidence and spectrum of mutated genes, and another paper reported an EMT expression signature defined subgroup. We performed a prior free analysis of CRC heterogeneity on 1113 CRC gene expression profiles and confronted our findings to established molecular determinants and clinical, histopathological and survival data. Unsupervised clustering based on gene modules allowed us to distinguish at least five different gene expression CRC subtypes, which we call surface crypt-like, lower crypt-like, CIMP-H-like, mesenchymal and mixed. A gene set enrichment analysis combined with literature search of gene module members identified distinct biological motifs in different subtypes. The subtypes, which were not derived based on outcome, nonetheless showed differences in prognosis. Known gene copy number variations and mutations in key cancer-associated genes differed between subtypes, but the subtypes provided molecular information beyond that contained in these variables. Morphological features significantly differed between subtypes. The objective existence of the subtypes and their clinical and molecular characteristics were validated in an independent set of 720 CRC expression profiles. Our subtypes provide a novel perspective on the heterogeneity of CRC. The proposed subtypes should be further explored retrospectively on existing clinical trial datasets and, when sufficiently robust, be prospectively assessed for clinical relevance in terms of prognosis and treatment response predictive capacity. Original microarray data were uploaded to the ArrayExpress database (http://www.ebi.ac.uk/arrayexpress/) under Accession Nos E-MTAB-990 and E-MTAB-1026.
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