Identification of tumor markers in models of human colorectal cancer using a 19,200-element complementary DNA microarray
- PMID: 11691794
Identification of tumor markers in models of human colorectal cancer using a 19,200-element complementary DNA microarray
Abstract
Metastasis represents a crucial transition in disease development and progression and has a profound impact on survival for a wide variety of cancers. Cell line models of metastasis have played an important role in developing our understanding of the metastatic process. We used a 19,200-element human cDNA microarray to profile transcription in three paired cell-line models of colorectal tumor metastasis. By correlating expression patterns across these cell lines, we have identified 176 genes that appear to be differentially expressed (greater than 2-fold) in all highly metastatic cell lines relative to their reference. An analysis of these genes reiterates much of our understanding of the metastatic process and suggests additional genes, many of previously uncharacterized function, that may be causatively involved in, or at least prognostic of, metastasis. Northern analysis of a limited number of these genes validates the observed pattern of expression and suggests that further investigation and functional characterization of the identified genes is warranted.
Similar articles
-
A colorectal cancer expression profile that includes transforming growth factor beta inhibitor BAMBI predicts metastatic potential.Gastroenterology. 2009 Jul;137(1):165-75. doi: 10.1053/j.gastro.2009.03.041. Epub 2009 Mar 26. Gastroenterology. 2009. PMID: 19328798
-
Analysis of progressively overexpressed genes in tumorigenesis of colorectal cancers using cDNA microarray.Oncol Rep. 2005 Jul;14(1):65-72. Oncol Rep. 2005. PMID: 15944769
-
The gene expression profile represents the molecular nature of liver metastasis in colorectal cancer.Int J Oncol. 2007 Jan;30(1):129-38. Int J Oncol. 2007. PMID: 17143521
-
[Differences in gene expression profile between high and low metastatic human colorectal cancer cell lines].Di Yi Jun Yi Da Xue Xue Bao. 2004 Mar;24(3):256-9. Di Yi Jun Yi Da Xue Xue Bao. 2004. PMID: 15041535 Chinese.
-
Gene expression profiling of human melanoma cell lines with distinct metastatic potential identifies new progression markers.Anticancer Res. 2007 Sep-Oct;27(5A):3441-9. Anticancer Res. 2007. PMID: 17970093
Cited by
-
Reduced levels of hydroxylated, polyunsaturated ultra long-chain fatty acids in the serum of colorectal cancer patients: implications for early screening and detection.BMC Med. 2010 Feb 15;8:13. doi: 10.1186/1741-7015-8-13. BMC Med. 2010. PMID: 20156336 Free PMC article.
-
Immunoprofiles of 11 biomarkers using tissue microarrays identify prognostic subgroups in colorectal cancer.Neoplasia. 2005 Aug;7(8):741-7. doi: 10.1593/neo.05178. Neoplasia. 2005. PMID: 16207476 Free PMC article.
-
RNA expression of the molecular signature genes for metastasis in colorectal cancer.Oncol Rep. 2011 May;25(5):1321-7. doi: 10.3892/or.2011.1208. Epub 2011 Mar 4. Oncol Rep. 2011. PMID: 21380492 Free PMC article.
-
Identification of Candidate Biomarkers and Prognostic Analysis in Colorectal Cancer Liver Metastases.Front Oncol. 2021 Aug 4;11:652354. doi: 10.3389/fonc.2021.652354. eCollection 2021. Front Oncol. 2021. PMID: 34422629 Free PMC article.
-
An Integrative Approach for Mapping Differentially Expressed Genes and Network Components Using Novel Parameters to Elucidate Key Regulatory Genes in Colorectal Cancer.PLoS One. 2015 Jul 29;10(7):e0133901. doi: 10.1371/journal.pone.0133901. eCollection 2015. PLoS One. 2015. PMID: 26222778 Free PMC article.
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Other Literature Sources
Medical