Transcriptomics

Dataset Information

6

Transcription profiling of human colon samples from patients who have colorectal cancer recurrence or are recurrence-free to identify gene expression classifiers of clinical outcome


ABSTRACT: A common reference experiment design was performed. mRNAs from 149 New Zealand colorectal cancer samples were labeled with Cy5 and a common reference RNA from 12 cell lines were labeled with Cy3. Data were log2 transformed and normalized. Class prediction was performed to identify genes capable of predicting future samples.

INSTRUMENT(S): GenePix 4000B [Axon Instruments]

ORGANISM(S): Homo sapiens  

DISEASE(S): Reference,Colorectal Cancer Recurrence-free,Colorectal Cancer Recurrence

SUBMITTER: yu-hsin lin  

PROVIDER: E-MEXP-1245 | ArrayExpress | 2007-09-18

REPOSITORIES: ArrayExpress

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Publications

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

Lin Yu-Hsin YH   Friederichs Jan J   Black Michael A MA   Mages Jörg J   Rosenberg Robert R   Guilford Parry J PJ   Phillips Vicky V   Thompson-Fawcett Mark M   Kasabov Nikola N   Toro Tumi T   Merrie Arend E AE   van Rij Andre A   Yoon Han-Seung HS   McCall John L JL   Siewert Jörg Rüdiger JR   Holzmann Bernhard B   Reeve Anthony E AE  

Clinical cancer research : an official journal of the American Association for Cancer Research 20070101 2 Pt 1


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  ...[more]

Publication: 1/2

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