Translational bioinformatics for diagnostic and prognostic prediction of prostate cancer in the next-generation sequencing era
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Updated: May 8, 2026

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
Published on: November 19, 2019
Jiajia Chen1, Daqing Zhang, Wenying Yan
1Center for Systems Biology, Soochow University, Suzhou 215006, China.
Abstract:
The discovery of prostate cancer biomarkers has been boosted by the advent of next-generation sequencing (NGS) technologies. Nevertheless, many challenges still exist in exploiting the flood of sequence data and translating them into routine diagnostics and prognosis of prostate cancer. Here we review the recent developments in prostate cancer biomarkers by high throughput sequencing technologies. We highlight some fundamental issues of translational bioinformatics and the potential use of cloud computing in NGS data processing for the improvement of prostate cancer treatment.
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