ArticleJournal of cancer research and clinical oncology2003
Classification of Dukes' B and C colorectal cancers using expression arrays.
Article in Journal of cancer research and clinical oncology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 95 citations in OpenAlex.
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- Role of MUC20 overexpression as a predictor of recurrence and poor outcome in colorectal cancer.Journal of translational medicine · 2013Article
- The identification of gut neuroendocrine tumor disease by multiple synchronous transcript analysis in blood.PloS one · 2013Article
- Subtypes of primary colorectal tumors correlate with response to targeted treatment in colorectal cell lines.BMC medical genomics · 2012Article
- MicroRNAs: relevant tools for a colorectal surgeon?World journal of surgery · 2012Review
- Colon cancer molecular subtypes identified by expression profiling and associated to stroma, mucinous type and different clinical behavior.BMC cancer · 2012Article
- Exploring gene expression signatures for predicting disease free survival after resection of colorectal cancer liver metastases.PloS one · 2012Article
- Article
- MicroRNA signature analysis in colorectal cancer: identification of expression profiles in stage II tumors associated with aggressive disease.International journal of colorectal disease · 2011Article
- RNA expression of the molecular signature genes for metastasis in colorectal cancer.Oncology reports · 2011Article
- Identification of predictive markers of response to the MEK1/2 inhibitor selumetinib (AZD6244) in K-ras-mutated colorectal cancer.Molecular cancer therapeutics · 2010Article
- Genetic prognostic and predictive markers in colorectal cancer.Nature reviews. Cancer · 2009Review
- An expression module of WIPF1-coexpressed genes identifies patients with favorable prognosis in three tumor types.Journal of molecular medicine (Berlin, Germany) · 2009Article
- Comparability of microarray data between amplified and non amplified RNA in colorectal carcinoma.Journal of biomedicine & biotechnology · 2009Article
- Transcriptional Regulation of SDHa flavoprotein by nuclear respiratory factor-1 prevents pseudo-hypoxia in aerobic cardiac cells.The Journal of biological chemistry · 2008Article
- Orthotopic implantation mouse model and cDNA microarray analysis indicates several genes potentially involved in lymph node metastasis of colorectal cancer.Cancer science · 2008Article
- In vivo biomarkers for targeting colorectal neoplasms.Cancer biomarkers : section A of Disease markers · 2008Review
- Gene expression profiling reveals a massive, aneuploidy-dependent transcriptional deregulation and distinct differences between lymph node-negative and lymph node-positive colon carcinomas.Cancer research · 2007Article
- mRNA expression, functional profiling and multivariate classification of colon biopsy specimen by cDNA overall glass microarray.World journal of gastroenterology · 2006Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeColorectal cancer is one of the most common malignancies. Substaging of the cancer is of importance not only to prognosis but also to treatment. Classification of substages based on DNA microarray technology is currently the most promising approach. We therefore investigated if gene expression microarrays could be used to classify colorectal tumors.
methodsWe used the Affymetrix oligonucleotide arrays to analyze the expression of more than 5,000 genes in samples from the sigmoid and upper rectum of the left colon. Five samples were from normal mucosa and five samples from each of the Dukes' stages A, B, C, and D. Expression data were filtered based on either covariance or a selection of the most significantly varying genes between tumor stages.
resultsA nearest neighbor classifier was used to classify normal, and Dukes' B and C samples with less than 20% error, whereas Dukes' A and D could not be classified correctly. A number of interesting gene clusters showed a discriminating difference between Dukes' B and C samples. These included mitochondrial genes, stromal remodeling genes, and genes related to cell adhesion.
conclusionMolecular classification based on gene expression of one of the most common malignancies, colorectal cancer, now seems to be within reach. The data indicates that it is possible at least to classify Dukes' B and C colorectal tumors with microarrays.
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