Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Full genome expression profiling of primary colorectal cancer (CRC)


ABSTRACT: Fresh-frozen primary tumor samples from CRC patients were analyzed from their gene expression. Full genome unsupervised clustering identified three intrinsic subtypes that are associated with tumor and clinical characteristics. Primary CRC samples (188) were hybridzed against a common colon cancer reference pool (CRP).

ORGANISM(S): Homo sapiens

SUBMITTER: Paul Roepman 

PROVIDER: E-GEOD-42284 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


In most colorectal cancer (CRC) patients, outcome cannot be predicted because tumors with similar clinicopathological features can have differences in disease progression and treatment response. Therefore, a better understanding of the CRC biology is required to identify those patients who will benefit from chemotherapy and to find a more tailored therapy plan for other patients. Based on unsupervised classification of whole genome data from 188 stages I-IV CRC patients, a molecular classificati  ...[more]

Similar Datasets

2012-04-11 | E-GEOD-31364 | biostudies-arrayexpress
2013-12-05 | E-GEOD-41994 | biostudies-arrayexpress
2007-02-23 | E-TABM-115 | biostudies-arrayexpress
2010-05-07 | E-GEOD-16201 | biostudies-arrayexpress
2017-07-01 | E-MTAB-1210 | biostudies-arrayexpress
2010-07-01 | E-MEXP-2713 | biostudies-arrayexpress
2013-02-26 | E-MTAB-1098 | biostudies-arrayexpress
2013-06-25 | E-MTAB-1262 | biostudies-arrayexpress
2013-05-13 | E-MTAB-1490 | biostudies-arrayexpress
2011-08-20 | E-MEXP-2948 | biostudies-arrayexpress