Multiple Gene Expression Classifiers from Different Array Platforms Predict Poor Prognosis of Colorectal Cancer
Open Access
- 15 January 2007
- journal article
- Published by American Association for Cancer Research (AACR) in Clinical Cancer Research
- Vol. 13 (2) , 498-507
- https://doi.org/10.1158/1078-0432.ccr-05-2734
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.Keywords
All Related Versions
This publication has 39 references indexed in Scilit:
- Molecular Staging for Survival Prediction of Colorectal Cancer PatientsJournal of Clinical Oncology, 2005
- Positive regulation of Fas gene expression by MSSP and abrogation of Fas-mediated apoptosis induction in MSSP-deficient miceExperimental Cell Research, 2005
- Characterization of a MAPKK-like protein kinase TOPKBiochemical and Biophysical Research Communications, 2004
- Systematic review of genetic influences on the prognosis of colorectal cancerBritish Journal of Surgery, 2004
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray ExperimentsStatistical Applications in Genetics and Molecular Biology, 2004
- Characterization of eIF3kEuropean Journal of Biochemistry, 2003
- Exploration, normalization, and summaries of high density oligonucleotide array probe level dataBiostatistics, 2003
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- The Biology of Chemokines and their ReceptorsAnnual Review of Immunology, 2000
- R: A Language for Data Analysis and GraphicsJournal of Computational and Graphical Statistics, 1996