AIM: To screen the differential expressed genes in colorectal cancer and polyp tissue samples. METHODS: Tissue specimens containing 16 cases of colorectal adenocarcinoma and colorectal polyp vs normal mucosae were collected and subjected to cDNA microarray and bioinformatical analyses. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to confirm some of the cDNA microarray data. RESULTS: The experimental data showed that eight genes were differentially expressed, most of which were upregulated in adenomatous polyp lesions. Forty-six genes expressions were altered in colorectal cancers, of which 29 were upregulated and 17 downregulated, as compared to the normal mucosae. In addition, 18 genes were similarly altered in both adenomatous polyps and colorectal cancer. qRT-PCR analyses confirmed the cDNA microarray data for four of those 18 genes: MTA1, PDCD4, TSC1 and PDGFRA. CONCLUSION: These differentially expressed genes likely represent biomarkers for early detection of colorectal cancer and may be potential therapeutic targets after confirmed by further studies.
AIM: To screen the differential expressed genes in colorectal cancer and polyp tissue samples. METHODS: Tissue specimens containing 16 cases of colorectal adenocarcinoma and colorectal polyp vs normal mucosae were collected and subjected to cDNA microarray and bioinformatical analyses. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to confirm some of the cDNA microarray data. RESULTS: The experimental data showed that eight genes were differentially expressed, most of which were upregulated in adenomatous polyp lesions. Forty-six genes expressions were altered in colorectal cancers, of which 29 were upregulated and 17 downregulated, as compared to the normal mucosae. In addition, 18 genes were similarly altered in both adenomatous polyps and colorectal cancer. qRT-PCR analyses confirmed the cDNA microarray data for four of those 18 genes: MTA1, PDCD4, TSC1 and PDGFRA. CONCLUSION: These differentially expressed genes likely represent biomarkers for early detection of colorectal cancer and may be potential therapeutic targets after confirmed by further studies.
Authors: Tatsuya Ozawa; Cameron W Brennan; Lu Wang; Massimo Squatrito; Takashi Sasayama; Mitsutoshi Nakada; Jason T Huse; Alicia Pedraza; Satoshi Utsuki; Yoshie Yasui; Adesh Tandon; Elena I Fomchenko; Hidehiro Oka; Ross L Levine; Kiyotaka Fujii; Marc Ladanyi; Eric C Holland Journal: Genes Dev Date: 2010-10-01 Impact factor: 11.361
Authors: Elizabeth K Broussard; Rachel Kim; Jesse C Wiley; Juan Pablo Marquez; James E Annis; David Pritchard; Mary L Disis Journal: Cancer Prev Res (Phila) Date: 2013-05-16
Authors: Terrah J Paul Olson; Jamie N Hadac; Chelsie K Sievers; Alyssa A Leystra; Dustin A Deming; Christopher D Zahm; Dawn M Albrecht; Alice Nomura; Laura A Nettekoven; Lauren K Plesh; Linda Clipson; Ruth Sullivan; Michael A Newton; William R Schelman; Richard B Halberg Journal: Cancer Prev Res (Phila) Date: 2013-11-06
Authors: Béla Molnár; Orsolya Galamb; Bálint Péterfia; Barnabás Wichmann; István Csabai; András Bodor; Alexandra Kalmár; Krisztina Andrea Szigeti; Barbara Kinga Barták; Zsófia Brigitta Nagy; Gábor Valcz; Árpád V Patai; Péter Igaz; Zsolt Tulassay Journal: BMC Cancer Date: 2018-06-27 Impact factor: 4.430