Identification of the PCa28 gene signature as a predictor in prostate cancer

Jung Yu Lee, Si Yu Lin, Yi Hsuan Chuang, Sing Han Huang, Yu Yao Tseng, Jinn-Moon Yang, Chun-Yu Lin, Hung Jung Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Prostate cancer (PCa) is the second-leading cause of cancer death among men in the worldwide. Most PCa is slowly growing and usually early symptomless. 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. Prostatic Specific Antigen (PSA) is currently the only clinical biomarker for PCa diagnosis. However, the PSA test has inherent limitations and has about 75% of false-positive results. The identification of a set of genes (as biomarkers) for diagnosis and prognosis is an urgent clinical issue for PCa. Here, we integrated genome-wide analysis and protein-protein interaction network to identify potential genes for early diagnostic biomarkers of PCa. First, we collected gene expression datasets of 145 PCa samples, consisting of both tumor and corresponding normal tissues, from two different sources in Gene Expression Omnibus (GEO). We found 158 and 268 significantly highly and lowly expressed genes, respectively, in tumor samples. Moreover, we proposed cluster score (CS) and predicting score (PS) to select 28 prostate cancer-related genes (called PCa28). The results indicate that PCa28 can discriminate between the normal/tumor tissues and are specific for prostate cancer. Finally, we examined 8 genes in PCa28 on four PCa cell lines by real time quantitative polymerase chain reaction (RT-qPCR). Experimental results show that up-regulated genes have higher expression level in tumor cells in comparison to normal cells, and down-regulated genes have lower expression level in tumor cells. We believe that our method is useful and PCa28 are potential biomarkers that provide the clues to develop targeting therapy for PCa.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages155-158
Number of pages4
ISBN (Electronic)9781538662168
DOIs
StatePublished - 6 Dec 2018
Event18th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2018 - Taichung, Taiwan
Duration: 29 Oct 201831 Oct 2018

Publication series

NameProceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018

Conference

Conference18th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2018
CountryTaiwan
CityTaichung
Period29/10/1831/10/18

Keywords

  • Diagnosis
  • Gene expression profiling
  • Prostate cancer
  • Protein-protein interaction network

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  • Cite this

    Lee, J. Y., Lin, S. Y., Chuang, Y. H., Huang, S. H., Tseng, Y. Y., Yang, J-M., Lin, C-Y., & Wang, H. J. (2018). Identification of the PCa28 gene signature as a predictor in prostate cancer. In Proceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018 (pp. 155-158). [8567476] (Proceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2018.00037