Bibliographic Details
| Title: |
Omics Derived Biomarkers and Novel Drug Targets for Improved Intervention in Advanced Prostate Cancer |
| Authors: |
Maria Frantzi, Marie C. Hupe, Axel S. Merseburger, Joost P. Schanstra, Harald Mischak, Agnieszka Latosinska |
| Source: |
Diagnostics, Vol 10, Iss 9, p 658 (2020) |
| Publisher Information: |
MDPI AG, 2020. |
| Publication Year: |
2020 |
| Collection: |
LCC:Medicine (General) |
| Subject Terms: |
biomarkers, drug targets, omics, prostate cancer, Medicine (General), R5-920 |
| More Details: |
Prostate cancer (PCa) is one of the most frequently diagnosed malignancies, and the fifth leading cause of cancer related mortality in men. For advanced PCa, radical prostatectomy, radiotherapy, and/or long-term androgen deprivation therapy are the recommended treatment options. However, subsequent progression to metastatic disease after initial therapy results in low 5-year survival rates (29%). Omics technologies enable the acquisition of high-resolution large datasets that can provide insights into molecular mechanisms underlying PCa pathology. For the purpose of this article, a systematic literature search was conducted through the Web of Science Database to critically evaluate recent omics-driven studies that were performed towards: (a) Biomarker development and (b) characterization of novel molecular-based therapeutic targets. The results indicate that multiple omics-based biomarkers with prognostic and predictive value have been validated in the context of PCa, with several of those being also available for commercial use. At the same time, omics-driven potential drug targets have been investigated in pre-clinical settings and even in clinical trials, holding the promise for improved clinical management of advanced PCa, as part of personalized medicine pipelines. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2075-4418 |
| Relation: |
https://www.mdpi.com/2075-4418/10/9/658; https://doaj.org/toc/2075-4418 |
| DOI: |
10.3390/diagnostics10090658 |
| Access URL: |
https://doaj.org/article/38b42fa88b1d4b7e9e3b7a9692d992b5 |
| Accession Number: |
edsdoj.38b42fa88b1d4b7e9e3b7a9692d992b5 |
| Database: |
Directory of Open Access Journals |
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