BELMONT, Peter J., Eva BUDINSKÁ, Ping JIANG, Mark J. SINNAMON, Erin COFFEE, Jatin ROPER, Tao XIE, Paul A. REJTO, Sahra DERKITS, Owen J. SANSOM, Mauro DELORENZI, Sabine TEJPAR, Kenneth E. HUNG and Eric S. MARTIN. Cross-species analysis of genetically engineered mouse models of MAPK-driven colorectal cancer identifies hallmarks of the human disease. Disease models & mechanisms. Cambridge: Company of Biologists Ltd., 2014, vol. 7, No 6, p. 613-623. ISSN 1754-8403. Available from: https://dx.doi.org/10.1242/dmm.013904.
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Basic information
Original name Cross-species analysis of genetically engineered mouse models of MAPK-driven colorectal cancer identifies hallmarks of the human disease
Authors BELMONT, Peter J. (840 United States of America), Eva BUDINSKÁ (703 Slovakia, guarantor, belonging to the institution), Ping JIANG (840 United States of America), Mark J. SINNAMON (840 United States of America), Erin COFFEE (840 United States of America), Jatin ROPER (840 United States of America), Tao XIE (840 United States of America), Paul A. REJTO (840 United States of America), Sahra DERKITS (826 United Kingdom of Great Britain and Northern Ireland), Owen J. SANSOM (826 United Kingdom of Great Britain and Northern Ireland), Mauro DELORENZI (756 Switzerland), Sabine TEJPAR (56 Belgium), Kenneth E. HUNG (840 United States of America) and Eric S. MARTIN (840 United States of America).
Edition Disease models & mechanisms, Cambridge, Company of Biologists Ltd. 2014, 1754-8403.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30200 3.2 Clinical medicine
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 4.973
RIV identification code RIV/00216224:14110/14:00075625
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1242/dmm.013904
UT WoS 000345002600003
Keywords in English KRAS; BRAF; MAPK; Colorectal cancer; GEMM; Genomic signatures
Tags EL OK
Tags International impact, Reviewed
Changed by Changed by: Soňa Böhmová, učo 232884. Changed: 8/1/2015 16:28.
Abstract
Effective treatment options for advanced colorectal cancer (CRC) are limited, survival rates are poor and this disease continues to be a leading cause of cancer-related deaths worldwide. Despite being a highly heterogeneous disease, a large subset of individuals with sporadic CRC typically harbor relatively few established ‘driver’ lesions. Here, we describe a collection of genetically engineered mouse models (GEMMs) of sporadic CRC that combine lesions frequently altered in human patients, including well-characterized tumor suppressors and activators of MAPK signaling. Primary tumors from these models were profiled, and individual GEMM tumors segregated into groups based on their genotypes. Unique allelic and genotypic expression signatures were generated from these GEMMs and applied to clinically annotated human CRC patient samples. We provide evidence that a Kras signature derived from these GEMMs is capable of distinguishing human tumors harboring KRAS mutation, and tracks with poor prognosis in two independent human patient cohorts. Furthermore, the analysis of a panel of human CRC cell lines suggests that high expression of the GEMM Kras signature correlates with sensitivity to targeted pathway inhibitors. Together, these findings implicate GEMMs as powerful preclinical tools with the capacity to recapitulate relevant human disease biology, and support the use of genetic signatures generated in these models to facilitate future drug discovery and validation efforts.
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