Application of cDNA microarrays to generate a molecular taxonomy capable of distinguishing between colon cancer and normal colon

Tong Tong Zou, Florin M. Selaru, Yan Xu, Valentina Shustova, Jing Yin, Yuriko Mori, David Shibata, Fumiaki Sato, Suma Wang, Andreea Olaru, Elena Deacu, Thomas C. Liu, John M. Abraham, Stephen J. Meltzer

Research output: Contribution to journalArticle

127 Citations (Scopus)

Abstract

In order to discover global gene expression patterns characterizing subgroups of colon cancer, microarrays were hybridized to labeled RNAs obtained from seventeen colonic specimens (nine carcinomas and eight normal samples). Using a hierarchical agglomerative method, the samples grouped naturally into two major clusters, in perfect concordance with pathological reports (colon cancer versus normal colon). Using a variant of the unpaired t-test, selected genes were ordered according to an index of importance. In order to confirm microarray data, we performed quantitative, real-time reverse transcriptase - polymerase chain reaction (TaqMan RT-PCR) on RNAs from 13 colorectal tumors and 13 normal tissues (seven of which were matched normal-tumor pairs). RT-PCR was performed on the gro1, B-factor, adlican, and endothelin converting enzyme-1 genes and confirmed microarray findings. Two hundred and fifty genes were identified, some of which were previously reported as being involved in colon cancer. We conclude that cDNA microarraying, combined with bioinformatics tools, can accurately classify colon specimens according to current histopathological taxonomy. Moreover, this technology holds promise of providing invaluable insight into specific gene roles in the development and progression of colon cancer. Our data suggests that a large-scale approach may be undertaken with the purpose of identifying biomarkers relevant to cancer progression.

Original languageEnglish (US)
Pages (from-to)4855-4862
Number of pages8
JournalOncogene
Volume21
Issue number31
DOIs
StatePublished - Jan 1 2002

Fingerprint

Oligonucleotide Array Sequence Analysis
Colonic Neoplasms
Genes
Colon
RNA
Polymerase Chain Reaction
Computational Biology
Reverse Transcriptase Polymerase Chain Reaction
Real-Time Polymerase Chain Reaction
Colorectal Neoplasms
Neoplasms
Complementary DNA
Biomarkers
Technology
Carcinoma
Gene Expression

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics
  • Cancer Research

Cite this

Zou, T. T., Selaru, F. M., Xu, Y., Shustova, V., Yin, J., Mori, Y., ... Meltzer, S. J. (2002). Application of cDNA microarrays to generate a molecular taxonomy capable of distinguishing between colon cancer and normal colon. Oncogene, 21(31), 4855-4862. https://doi.org/10.1038/sj.onc.1205613

Application of cDNA microarrays to generate a molecular taxonomy capable of distinguishing between colon cancer and normal colon. / Zou, Tong Tong; Selaru, Florin M.; Xu, Yan; Shustova, Valentina; Yin, Jing; Mori, Yuriko; Shibata, David; Sato, Fumiaki; Wang, Suma; Olaru, Andreea; Deacu, Elena; Liu, Thomas C.; Abraham, John M.; Meltzer, Stephen J.

In: Oncogene, Vol. 21, No. 31, 01.01.2002, p. 4855-4862.

Research output: Contribution to journalArticle

Zou, TT, Selaru, FM, Xu, Y, Shustova, V, Yin, J, Mori, Y, Shibata, D, Sato, F, Wang, S, Olaru, A, Deacu, E, Liu, TC, Abraham, JM & Meltzer, SJ 2002, 'Application of cDNA microarrays to generate a molecular taxonomy capable of distinguishing between colon cancer and normal colon', Oncogene, vol. 21, no. 31, pp. 4855-4862. https://doi.org/10.1038/sj.onc.1205613
Zou, Tong Tong ; Selaru, Florin M. ; Xu, Yan ; Shustova, Valentina ; Yin, Jing ; Mori, Yuriko ; Shibata, David ; Sato, Fumiaki ; Wang, Suma ; Olaru, Andreea ; Deacu, Elena ; Liu, Thomas C. ; Abraham, John M. ; Meltzer, Stephen J. / Application of cDNA microarrays to generate a molecular taxonomy capable of distinguishing between colon cancer and normal colon. In: Oncogene. 2002 ; Vol. 21, No. 31. pp. 4855-4862.
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