標題: Identification of the PCA29 gene signature as a predictor in prostate cancer
作者: Lee, Jung-Yu
Lin, Si-Yu
Lin, Chun-Yu
Chuang, Yi-Huan
Huang, Sing-Han
Tseng, Yu-Yao
Wang, Hung-Jung
Yang, Jinn-Moon
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
關鍵字: Prostate cancer;gene expression profiling;protein-protein interaction network;diagnosis;biomarkers
公開日期: 1-Jun-2019
摘要: Prostate cancer (PCa) is the second leading cause of cancer death among men worldwide. About 70% of PCa patients were diagnosed at later stage, and metastasis has been observed. Additionally, the cure rate of PCa closely relies on the early diagnosis with biomarkers. The identification of biomarkers for diagnosis and prognosis is an urgent clinical issue for PCa. Here, we developed a novel scoring strategy, including cluster score (CS) and predicting score (PS), to identify 29 PCa genes (called PCa29) for early diagnostic biomarkers from two datasets in Gene Expression Omnibus. The result indicates that PCa29 can discriminate between normal and tumor tissues and are specific for prostate cancer. To validate PCa29, we found that 97% of PCa29 were consistently significant with these gene expressions in The Cancer Genome Atlas; furthermore, similar to 70% of PCa29 are consensus to the protein expression in The Human Protein Atlas. Finally, we examined 10 genes in PCa29 on three PCa cell lines by real-time quantitative polymerase chain reaction. The experimental results show that the trend of the differential PCa29 expression is consistent with the analyzed results from our novel scoring method. We believe that our method is useful and PCa29 are potential biomarkers that provide the clues to develop targeting therapy for PCa.
URI: http://dx.doi.org/10.1142/S0219720019400067
http://hdl.handle.net/11536/152145
ISSN: 0219-7200
DOI: 10.1142/S0219720019400067
期刊: JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
Volume: 17
Issue: 3
起始頁: 0
結束頁: 0
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