AI Article Synopsis

  • - The study aimed to analyze gene expression changes in human colorectal cancer tissues using cDNA macroarray analysis, involving 550 genes and 20 paired cancerous and noncancerous tissue samples.
  • - Results showed that 14 genes were significantly upregulated or downregulated in cancer tissues, affecting processes like transcription, cell cycle, and apoptosis, confirming findings with semiquantitative RT-PCR.
  • - The findings suggest that cDNA macroarray analysis could be a valuable tool for understanding gene expression in colorectal cancer and may have future diagnostic applications in clinical settings.

Article Abstract

Background: The development and progression of cancer are accompanied by complex changes in patterns of gene expression. The purpose of this study was to clarify the relevance of macroarray analysis of human colorectal cancer tissues.

Methods: Hybridization of cDNA macroarray filters on which 550 genes had been spotted was performed with biotin-labeled cDNA targets that were prepared from mRNA extracted from 20 pairs of colorectal cancer and corresponding noncancerous tissues. Expression of differentially expressed genes was further studied by semiquantitative RT-PCR.

Results: Fourteen (2.5%) of the 550 genes were differentially expressed and up- or downregulated in cancer tissues by at least threefold compared with matched noncancerous tissues in 10 or more of the 20 patients. The genes that were upregulated in cancer tissues were associated with transcription, cell cycle, growth factor receptor, cell adhesion, extracellular matrix-degrading enzymes, and angiogenesis, and the downregulated genes were those involved in apoptosis and immune recognition. Semiquantitative RT-PCR analysis of these differentially expressed genes gave results consistent with those by cDNA array analysis.

Conclusions: Although the macroarray used in this study contained only a small number of genes, our results support the feasibility and usefulness of this approach to study variation in gene expression patterns in human colorectal cancer tissues. The results also suggest the possibility of a diagnostic application of cDNA macroarrays in daily clinical settings.

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Source
http://dx.doi.org/10.1007/BF03326421DOI Listing

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