[HTML][HTML] Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer

C Isella, F Brundu, SE Bellomo, F Galimi… - Nature …, 2017 - nature.com
C Isella, F Brundu, SE Bellomo, F Galimi, E Zanella, R Porporato, C Petti, A Fiori, F Orzan
Nature communications, 2017nature.com
Stromal content heavily impacts the transcriptional classification of colorectal cancer (CRC),
with clinical and biological implications. Lineage-dependent stromal transcriptional
components could therefore dominate over more subtle expression traits inherent to cancer
cells. Since in patient-derived xenografts (PDXs) stromal cells of the human tumour are
substituted by murine counterparts, here we deploy human-specific expression profiling of
CRC PDXs to assess cancer-cell intrinsic transcriptional features. Through this approach …
Abstract
Stromal content heavily impacts the transcriptional classification of colorectal cancer (CRC), with clinical and biological implications. Lineage-dependent stromal transcriptional components could therefore dominate over more subtle expression traits inherent to cancer cells. Since in patient-derived xenografts (PDXs) stromal cells of the human tumour are substituted by murine counterparts, here we deploy human-specific expression profiling of CRC PDXs to assess cancer-cell intrinsic transcriptional features. Through this approach, we identify five CRC intrinsic subtypes (CRIS) endowed with distinctive molecular, functional and phenotypic peculiarities: (i) CRIS-A: mucinous, glycolytic, enriched for microsatellite instability or KRAS mutations; (ii) CRIS-B: TGF-β pathway activity, epithelial–mesenchymal transition, poor prognosis; (iii) CRIS-C: elevated EGFR signalling, sensitivity to EGFR inhibitors; (iv) CRIS-D: WNT activation, IGF2 gene overexpression and amplification; and (v) CRIS-E: Paneth cell-like phenotype, TP53 mutations. CRIS subtypes successfully categorize independent sets of primary and metastatic CRCs, with limited overlap on existing transcriptional classes and unprecedented predictive and prognostic performances.
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