Newswire (Published: Tuesday, December 12, 2017, Received: Thursday, December 7, 2017, 10:40:20 PM CST)

Word Count: 588

Study Findings on Prostate Cancer Are Outlined in Reports from Second Military Medical University (Identification of prognostic markers of high grade prostate cancer through an integrated bioinformatics approach)

By a News Reporter-Staff News Editor at Cancer Weekly -- A new study on Oncology - Prostate Cancer is now available. According to news reporting out of Shanghai, People's Republic of China, by NewsRx editors, research stated, "Prostate cancer is one of the leading causes of cancer death for male. In the present study, we applied an integrated bioinformatics approach to provide a novel perspective and identified some hub genes of prostate cancer."

Funders for this research include The Key Basic Research Foundation of Shanghai Committee of Science and Technology of China, General Program of Shanghai Municipal Commission of Health and Family Planning, National Natural Science Foundation of China (see also Oncology - Prostate Cancer).

Our news journalists obtained a quote from the research from Second Military Medical University, "Microarray data of fifty-nine prostate cancer were downloaded from Gene Expression Omnibus. Gene Ontology and pathway analysis were applied for differentially expressed genes between high and low grade prostate cancer. Weighted gene coexpression network analysis was applied to construct gene network and classify genes into different modules. The most related module to high grade prostate cancer was identified and hub genes in the module were revealed. Ingenuity pathway analysis was applied to check the chosen module's relationship to high grade prostate cancer. Hub gene's expression profile was verified with clinical samples and a dataset from The Cancer Genome Atlas project. 3193 differentially expressed genes were filtered and gene ontology and pathway analysis revealed some cancer- and sex hormone-related results. Weighted gene coexpression network was constructed and genes were classified into six modules. The red module was selected and ingenuity pathway analysis confirmed its relationship with high grade prostate cancer. Hub genes were identified and their expression profile was also confirmed."

According to the news editors, the research concluded: "The present study applied integrate bioinformatics approaches to generate a holistic view of high grade prostate cancer and identified hub genes could serve as prognosis markers and potential treatment targets."

For more information on this research see: Identification of prognostic markers of high grade prostate cancer through an integrated bioinformatics approach. Journal of Cancer Research and Clinical Oncology, 2017;143(12):2571-2579. Journal of Cancer Research and Clinical Oncology can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; Journal of Cancer Research and Clinical Oncology - www.springerlink.com/content/0171-5216/)

Our news journalists report that additional information may be obtained by contacting X.G. Cui, Second Military Med Univ, Affiliated Hosp 3, Dept. of Urinary Surg, Shanghai 200438, People's Republic of China. Additional authors for this research include Q. Zhang, C. Ye, J.M. Lv, X. Liu, L. Chen, H. Wu, L. Yin, H. Huang, D.F. Xu and W.H. Liu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s00432-017-2497-0. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Keywords for this news article include: Shanghai, People's Republic of China, Asia, Information Technology, Prostatic Neoplasms, Cancer, Genetics, Prostate Cancer, Bioinformatics, Biotechnology, Oncology, Second Military Medical University.

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