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Biomarkers of castrate resistance in prostate cancer : androgen receptor amplification and T877A mutation detection by multiplex droplet digital PCR

Title: Biomarkers of castrate resistance in prostate cancer : androgen receptor amplification and T877A mutation detection by multiplex droplet digital PCR
Authors: Young, Francis P.; Becker, Therese M. (R17857); Nimir, Mohammed; Opperman, Thomas; Chua, Wei (R18253); Balakrishnar, Bavanthi; Souza, Paul de (R16678); Ma, Yafeng
Publisher Information: Switzerland, MDPI
Publication Year: 2022
Collection: University of Western Sydney (UWS): Research Direct
Subject Terms: XXXXXX - Unknown
Description: Androgen Receptor (AR) alterations (amplification, point mutations, and splice variants) are master players in metastatic castration resistant prostate cancer (CRPC) progression and central therapeutic targets for patient management. Here, we have developed two multiplexed droplet digital PCR (ddPCR) assays to detect AR copy number (CN) and the key point mutation T877A. Over-coming challenges of determining gene amplification from liquid biopsies, these assays cross-vali-date each other to produce reliable AR amplification and mutation data from plasma cell free DNA (cfDNA) of advanced prostate cancer (PC) patients. Analyzing a mixed PC patient cohort consisting of CRPC and hormone sensitive prostate cancer (HSPC) patients showed that 19% (9/47) patients had AR CN amplification. As expected, only CRPC patients were positive for AR amplification, while interestingly the T877A mutation was identified in two patients still considered HSPC at the time. The ddPCR based analysis of AR alterations in cfDNA is highly economic, feasible, and in-formative to provide biomarker detection that may help to decide on the best follow-up therapy for CRPC patients.
Document Type: article in journal/newspaper
File Description: print
Language: English
Relation: Journal of Clinical Medicine--2077-0383-- Vol. 11 Issue. 1 No. 257 pp: -
DOI: 10.3390/jcm11010257
Availability: https://doi.org/10.3390/jcm11010257; https://hdl.handle.net/1959.7/uws:75657
Rights: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Accession Number: edsbas.8186B1D
Database: BASE