Project description:Despite steady progress in the diagnosis and treatment of colorectal cancer (CRC), overall therapeutic outcomes remain unsatisfactory. Therefore, a better understanding of the molecular mechanisms of CRC is urgently needed. Fourteen pairs of cancerous and matched non-cancerous tissues (at least 5 cm away) were obtained from CRC patients undergoing surgical resection. Affymetrix human GeneChip primeview array was conducted to identify differentially expressed genes (DEGs) between CRC tissues and matched adjacent normal tissues. cDNA microarray analysis of cancerous and paired noncancerous tissues from CRC patients revealed 1,868 DEGs, of which 778 in primary lesions were up-regulated and 1,090 were down-regulated.
Project description:Paired tissues (normal colon, primary colorectal carcinoma, normal liver, liver metastasis of colorectal carcinoma) from 2 colorectal carcinoma patients in Taiwan were processed to generate total RNA, which was subsequently analyzed for gene expression using Affymetrix U133 plus 2.0 arrays. Comparison of gene expression profiles between paired normal colon and primary colorectal carcinoma; between primary colorectal carcinoma and liver metastasis colorectal carcinoma
Project description:Histone deacetylases (HDACs) regulate gene expression. Inhibition of class I HDACs has been shown to inhibit cancer cell growth. Largazole, a new potent HDAC inhibitor, shows strong antitumor activity, presumably by modulating transcription of cancer relevant genes. We used microarray analysis of human HCT116 colorectal carcinoma cell line to determine the gene expression profile after largazole treatment in comparison with other HDAC inhibitors (FK228 and SAHA). The goal was to identify regulated genes that can be linked to the antiproliferative effects of these HDAC inhibitors in HCT116 cells. To characterize the genes regulated by Largazole, SAHA and FK228, genome-wide gene expression analysis was carried out. Human HCT116 colorectal carcinoma cells (400,000) were seeded per well (6-well dish) and one day later treated with Largazole, SAHA, FK228 and vehicle control. 10 h later, total RNA was extracted and processed for hybridization to an Affymetrix Human Genome U133 2.0 GeneChip. Global alterations in transcript levels upon Largazole, SAHA and FK228 treatment were determined through comparison with data derived from cells treated with vehicle control. The experiment was carried out in duplicate.
Project description:Paired tissues (normal colon, primary colorectal carcinoma, normal liver, liver metastasis of colorectal carcinoma) from 2 colorectal carcinoma patients in Taiwan were processed to generate total RNA, which was subsequently analyzed for gene expression using Affymetrix U133 plus 2.0 arrays.
Project description:Histone deacetylases (HDACs) regulate gene expression. Inhibition of class I HDACs has been shown to inhibit cancer cell growth. Largazole, a new potent HDAC inhibitor, shows strong antitumor activity, presumably by modulating transcription of cancer relevant genes. We used microarray analysis of human HCT116 colorectal carcinoma cell line to determine the gene expression profile after largazole treatment in comparison with other HDAC inhibitors (FK228 and SAHA). The goal was to identify regulated genes that can be linked to the antiproliferative effects of these HDAC inhibitors in HCT116 cells.
Project description:This study addressed involvement of fourteen 5-fluorouracil pathway genes in the prognosis of colorectal carcinoma patients. The major goal of our study was to investigate associations of gene expression of enzymes metabolizing 5-fluorouracil with therapy response and survival of colorectal carcinoma patients Downregulation of DPYD and upregulation of PPAT, UMPS, RRM2, and SLC29A1 transcripts were found in tumors compared to adjacent mucosas in testing and validation sets of patients. Low RRM2 transcript level significantly associated with poor response to the first-line palliative 5-FU-based chemotherapy in the testing set and with poor disease-free interval of patients in the validation set.