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Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
Published on: September 25, 2011
Analysis of gene expression in human colorectal cancer tissues by cDNA array
Hiroyuki Yamamoto1, Arisa Imsumran, Hiroshi Fukushima
1First Department of Internal Medicine, Sapporo Medical University School of Medicine, South 1, West 16, Chuo-ku, Sapporo 060-8543, Japan.
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.
Insights
Macroarray analysis identified 14 differentially expressed genes in human colorectal cancer tissues, revealing significant alterations in cancer progression. This approach shows promise for diagnostic applications in clinical settings.
Area of Science:
- Molecular Biology
- Oncology
- Genomics
Background:
- Cancer development involves complex gene expression changes.
- Understanding these alterations is crucial for diagnosis and treatment.
- Macroarray analysis offers a method to study gene expression patterns.
Purpose of the Study:
- To assess the relevance of macroarray analysis in human colorectal cancer.
- To identify differentially expressed genes in colorectal tumors.
- To explore potential diagnostic applications of gene expression profiling.
Main Methods:
- cDNA macroarray hybridization with 550 genes.
- Analysis of mRNA from 20 pairs of colorectal cancer and noncancerous tissues.
- Validation of differentially expressed genes using semiquantitative RT-PCR.
Main Results:
- 14 out of 550 genes (2.5%) showed at least threefold differential expression.
- Upregulated genes relate to cell growth, adhesion, and angiogenesis.
- Downregulated genes are associated with apoptosis and immune recognition.
Conclusions:
- Macroarray analysis is feasible and useful for studying gene expression in colorectal cancer.
- Identified gene expression patterns may have diagnostic value.
- Further research can refine macroarray applications in clinical oncology.
