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Titel:

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

Dokumenttyp:
Journal Article; Research Support, Non-U.S. Gov't; Article
Autor(en):
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...     »
Zeitschriftentitel:
Clin Cancer Res
Jahr:
2007
Band / Volume:
13
Heft / Issue:
2 Pt 1
Seitenangaben Beitrag:
498-507
Sprache:
eng
Volltext / DOI:
doi:10.1158/1078-0432.CCR-05-2734
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/17255271
Print-ISSN:
1078-0432
TUM Einrichtung:
Chirurgische Klinik und Poliklinik; Institut für Medizinische Mikrobiologie, Immunologie und Hygiene
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