Cross-species analysis of genetically engineered mouse models of MAPK-driven colorectal cancer identifies hallmarks of the human disease

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F14%3A00075625" target="_blank" >RIV/00216224:14110/14:00075625 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1242/dmm.013904" target="_blank" >http://dx.doi.org/10.1242/dmm.013904</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1242/dmm.013904" target="_blank" >10.1242/dmm.013904</a>

Result language

angličtina

Original language name

Cross-species analysis of genetically engineered mouse models of MAPK-driven colorectal cancer identifies hallmarks of the human disease

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FD - Oncology and haematology

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Disease models & mechanisms

ISSN

1754-8403

e-ISSN

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Volume of the periodical

7

Issue of the periodical within the volume

6

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

613-623

UT code for WoS article

000345002600003

EID of the result in the Scopus database

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