Ten significantly differentially expressed genes in prostate cancer: Screening and verification.
- Author:
Yong-kang YE
;
Qi-wu MI
;
Jie-xin LUO
;
Xiang-jun MENG
;
Hui-chan HE
;
Yong-ding WU
;
Wei-de ZHONG
- Publication Type:Journal Article
- MeSH: Cell Differentiation; Down-Regulation; Gene Expression; Gene Expression Regulation, Neoplastic; Humans; Male; Oligonucleotide Array Sequence Analysis; Polymerase Chain Reaction; Prostatic Neoplasms; genetics; Transcriptional Activation; Up-Regulation
- From: National Journal of Andrology 2015;21(5):408-413
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo screen and verify differentially expressed genes in prostate cancer.
METHODSUsing DNA microarray, we screened differentially expressed genes in prostate cancer tissue and its adjacent tissue followed by verification by PCR.
RESULTSA total of 1 444 genes were found to be differentially expressed (differentiation ≥ 1.5-fold; P≤ 0.05) in the prostate cancer tissue, of which 769 (53%) were up-regulated and 675 (47%) down-regulated. Fifty percent of the differentially expressed genes showed a 1.5- to 2-fold differentiation, including 396 up-regulated and 182 down-regulated ones. Additionally, 308 up-regulated and 334 down-regulated genes exhibited a >2- to 5-fold, 46 up-regulated and 78 down-regulated genes a > 5- to 10-fold, and 19 up-regulated and 81 down-regulated genes a > 10-fold differentiation. Verification by subjecting 15 most significantly up-regulated and another 15 most markedly down-regulated genes to quantitative real-time PCR (qRT-PCR) showed that most of the genes had a transcriptional profile similar to that in the microarray data, with a Pearson correction coefficient of 0.83 between the microarray data and qRT-PCR results. Totally, 10 significantly differentially expressed genes were identified.
CONCLUSIONDNA microarray analysis provides reliable information on differentially expressed genes in prostate cancer and benign tissues. The 10 significantly differentially expressed genes verified by qRT-PCR could possibly become new bio-markers and specific molecules for tumor identification.