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The molecular landscape of colorectal cancer cell lines unveils clinically actionable kinase targets

Articolo
Data di Pubblicazione:
2015
Abstract:
The development of molecularly targeted anticancer agents relies on large panels of tumour-specific preclinical models closely recapitulating the molecular heterogeneity observed in patients. Here we describe the mutational and gene expression analyses of 151 colorectal cancer (CRC) cell lines. We find that the whole spectrum of CRC molecular and transcriptional subtypes, previously defined in patients, is represented in this cell line compendium. Transcriptional outlier analysis identifies RAS/BRAF wild-type cells, resistant to EGFR blockade, functionally and pharmacologically addicted to kinase genes including ALK, FGFR2, NTRK1/2 and RET. The same genes are present as expression outliers in CRC patient samples. Genomic rearrangements (translocations) involving the ALK and NTRK1 genes are associated with the overexpression of the corresponding proteins in CRC specimens. The approach described here can be used to pinpoint CRCs with exquisite dependencies to individual kinases for which clinically approved drugs are already available.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
colorectal cancer; EGFR; cetuximab; Tyrosine kinase inhibition
Elenco autori:
Medico, E; Russo, M; Picco, G; Cancelliere, C; Valtorta, E; Corti, G; Buscarino, M; Isella, C; Lamba, S; Martinoglio, B; Veronese, S; Siena, S; Sartore-Bianchi, A; Beccuti, M; Mottolese, M; Linnebacher, M; Cordero, F; Di Nicolantonio, F*; Bardelli, A*; (*co-last and *corresponding authors)
Autori di Ateneo:
BARDELLI Alberto
BECCUTI Marco
CORDERO Francesca
DI NICOLANTONIO Federica
ISELLA Claudio
MEDICO Enzo
RUSSO Mariangela
Link alla scheda completa:
https://iris.unito.it/handle/2318/1509370
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1509370/398/Medico_CRC_encyclopedia_NatComm_2015_Aperto.pdf
Pubblicato in:
NATURE COMMUNICATIONS
Journal
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URL

http://www.nature.com/ncomms/2015/150430/ncomms8002/full/ncomms8002.html; http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE59857
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