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Title:

Multiple gene expression classifiers from different array platforms predict poor prognosis of colorectal cancer.

Document type:
Journal Article; Research Support, Non-U.S. Gov't; Article
Author(s):
Lin, YH; Friederichs, J; Black, MA; Mages, J; Rosenberg, R; Guilford, PJ; Phillips, V; Thompson-Fawcett, M; Kasabov, N; Toro, T; Merrie, AE; van Rij, A; Yoon, HS; McCall, JL; Siewert, JR; Holzmann, B; Reeve, AE
Abstract:
PURPOSE: This study aimed to develop gene classifiers to predict colorectal cancer recurrence. We investigated whether gene classifiers derived from two tumor series using different array platforms could be independently validated by application to the alternate series of patients. EXPERIMENTAL DESIGN: Colorectal tumors from New Zealand (n = 149) and Germany (n = 55) patients had a minimum follow-up of 5 years. RNA was profiled using oligonucleotide printed microarrays (New Zealand samples) and...     »
Journal title abbreviation:
Clin Cancer Res
Year:
2007
Journal volume:
13
Journal issue:
2 Pt 1
Pages contribution:
498-507
Language:
eng
Fulltext / DOI:
doi:10.1158/1078-0432.CCR-05-2734
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/17255271
Print-ISSN:
1078-0432
TUM Institution:
Chirurgische Klinik und Poliklinik; Institut für Medizinische Mikrobiologie, Immunologie und Hygiene
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