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- Publisher Website: 10.1002/pros.24057
- Scopus: eid_2-s2.0-85089459027
- PMID: 32803894
- WOS: WOS:000559797200001
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Article: Feasibility and performance of a novel probe panel to detect somatic DNA copy number alterations in clinical specimens for predicting prostate cancer progression
Title | Feasibility and performance of a novel probe panel to detect somatic DNA copy number alterations in clinical specimens for predicting prostate cancer progression |
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Authors | |
Keywords | probe panel prostate cancer progression somatic CNA |
Issue Date | 2020 |
Citation | Prostate, 2020, v. 80, n. 14, p. 1253-1262 How to Cite? |
Abstract | Background: To assess the feasibility of a novel DNA-based probe panel to detect copy number alterations (CNAs) in prostate tumor DNA and its performance for predicting clinical progression. Methods: A probe panel was developed and optimized to measure CNAs in trace amounts of tumor DNA (2 ng) isolated from formalin-fixed paraffin-embedded tissues. Ten genes previously associated with aggressive disease were targeted. The panel's feasibility and performance were assessed in 175 prostate cancer (PCa) patients who underwent radical prostatectomy with a median 10-year follow-up, including 42 men who developed disease progression (either metastasis and/or PCa-specific death). Association with disease progression was tested using univariable and multivariable analyses. Results: The probe panel detected CNAs in all 10 genes in tumor DNA isolated from either diagnostic biopsies or surgical specimens. A four-gene model (PTEN/MYC/BRCA2/CDKN1B) had the strongest association with disease progression; 64.3% of progressors and 22.5% of non-progressors had at least one CNA in these four genes, odds ratio (OR) (95% confidence interval) = 6.21 (2.77-13.87), P = 8.48E−06. The association with disease progression remained significant after adjusting for known clinicopathological variables. Among the seven progressors of the 65 patients with clinically low-risk disease, three (42.9%) had at least one CNA in these four genes. Conclusions: The probe panel can detect CNAs in trace amounts of tumor DNA from biopsies or surgical tissues at the time of diagnosis or surgery. CNAs independently predict metastatic/lethal cancer, particularly among men with clinically low-risk disease at diagnosis. If validated, this may improve current abilities to assess tumor aggressiveness. |
Persistent Identifier | http://hdl.handle.net/10722/314367 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 1.032 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liu, Wennuan | - |
dc.contributor.author | Hou, Jun | - |
dc.contributor.author | Petkewicz, Jacqueline | - |
dc.contributor.author | Na, Rong | - |
dc.contributor.author | Wang, Chi Hsiung | - |
dc.contributor.author | Sun, Jishan | - |
dc.contributor.author | Gallagher, Johnie | - |
dc.contributor.author | Bogachkov, Yedida Y. | - |
dc.contributor.author | Swenson, Laura | - |
dc.contributor.author | Regner, Mary Ann | - |
dc.contributor.author | Resurreccion, W. Kyle | - |
dc.contributor.author | Isaacs, William B. | - |
dc.contributor.author | Brendler, Charles B. | - |
dc.contributor.author | Crawford, Susan | - |
dc.contributor.author | Zheng, S. Lilly | - |
dc.contributor.author | Helfand, Brian T. | - |
dc.contributor.author | Xu, Jianfeng | - |
dc.date.accessioned | 2022-07-20T12:03:46Z | - |
dc.date.available | 2022-07-20T12:03:46Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Prostate, 2020, v. 80, n. 14, p. 1253-1262 | - |
dc.identifier.issn | 0270-4137 | - |
dc.identifier.uri | http://hdl.handle.net/10722/314367 | - |
dc.description.abstract | Background: To assess the feasibility of a novel DNA-based probe panel to detect copy number alterations (CNAs) in prostate tumor DNA and its performance for predicting clinical progression. Methods: A probe panel was developed and optimized to measure CNAs in trace amounts of tumor DNA (2 ng) isolated from formalin-fixed paraffin-embedded tissues. Ten genes previously associated with aggressive disease were targeted. The panel's feasibility and performance were assessed in 175 prostate cancer (PCa) patients who underwent radical prostatectomy with a median 10-year follow-up, including 42 men who developed disease progression (either metastasis and/or PCa-specific death). Association with disease progression was tested using univariable and multivariable analyses. Results: The probe panel detected CNAs in all 10 genes in tumor DNA isolated from either diagnostic biopsies or surgical specimens. A four-gene model (PTEN/MYC/BRCA2/CDKN1B) had the strongest association with disease progression; 64.3% of progressors and 22.5% of non-progressors had at least one CNA in these four genes, odds ratio (OR) (95% confidence interval) = 6.21 (2.77-13.87), P = 8.48E−06. The association with disease progression remained significant after adjusting for known clinicopathological variables. Among the seven progressors of the 65 patients with clinically low-risk disease, three (42.9%) had at least one CNA in these four genes. Conclusions: The probe panel can detect CNAs in trace amounts of tumor DNA from biopsies or surgical tissues at the time of diagnosis or surgery. CNAs independently predict metastatic/lethal cancer, particularly among men with clinically low-risk disease at diagnosis. If validated, this may improve current abilities to assess tumor aggressiveness. | - |
dc.language | eng | - |
dc.relation.ispartof | Prostate | - |
dc.subject | probe panel | - |
dc.subject | prostate cancer progression | - |
dc.subject | somatic CNA | - |
dc.title | Feasibility and performance of a novel probe panel to detect somatic DNA copy number alterations in clinical specimens for predicting prostate cancer progression | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/pros.24057 | - |
dc.identifier.pmid | 32803894 | - |
dc.identifier.scopus | eid_2-s2.0-85089459027 | - |
dc.identifier.volume | 80 | - |
dc.identifier.issue | 14 | - |
dc.identifier.spage | 1253 | - |
dc.identifier.epage | 1262 | - |
dc.identifier.eissn | 1097-0045 | - |
dc.identifier.isi | WOS:000559797200001 | - |