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Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients
The individual risk to progression is unclear for intermediate risk prostate cancer patients. To assess their risk to progression, we examined the level of genomic instability in circulating tumor cells (CTCs) using quantitative three-dimensional (3D) telomere analysis. Data of CTCs from 65 treatmen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627662/ https://www.ncbi.nlm.nih.gov/pubmed/31226731 http://dx.doi.org/10.3390/cancers11060855 |
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author | Drachenberg, Darrel Awe, Julius A. Rangel Pozzo, Aline Saranchuk, Jeff Mai, Sabine |
author_facet | Drachenberg, Darrel Awe, Julius A. Rangel Pozzo, Aline Saranchuk, Jeff Mai, Sabine |
author_sort | Drachenberg, Darrel |
collection | PubMed |
description | The individual risk to progression is unclear for intermediate risk prostate cancer patients. To assess their risk to progression, we examined the level of genomic instability in circulating tumor cells (CTCs) using quantitative three-dimensional (3D) telomere analysis. Data of CTCs from 65 treatment-naïve patients with biopsy-confirmed D’Amico-defined intermediate risk prostate cancer were compared to radical prostatectomy pathology results, which provided a clinical endpoint to the study and confirmed pre-operative pathology or demonstrated upgrading. Hierarchical centroid cluster analysis of 3D pre-operative CTC telomere profiling placed the patients into three subgroups with different potential risk of aggressive disease. Logistic regression modeling of the risk of progression estimated odds ratios with 95% confidence interval (CI) and separated patients into “stable” vs. “risk of aggressive” disease. The receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.77, while prostate specific antigen (PSA) (AUC of 0.59) and Gleason 3 + 4 = 7 vs. 4 + 3 = 7 (p > 0.6) were unable to predict progressive or stable disease. The data suggest that quantitative 3D telomere profiling of CTCs may be a potential tool for assessing a patient’s prostate cancer pre-treatment risk. |
format | Online Article Text |
id | pubmed-6627662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66276622019-07-23 Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients Drachenberg, Darrel Awe, Julius A. Rangel Pozzo, Aline Saranchuk, Jeff Mai, Sabine Cancers (Basel) Article The individual risk to progression is unclear for intermediate risk prostate cancer patients. To assess their risk to progression, we examined the level of genomic instability in circulating tumor cells (CTCs) using quantitative three-dimensional (3D) telomere analysis. Data of CTCs from 65 treatment-naïve patients with biopsy-confirmed D’Amico-defined intermediate risk prostate cancer were compared to radical prostatectomy pathology results, which provided a clinical endpoint to the study and confirmed pre-operative pathology or demonstrated upgrading. Hierarchical centroid cluster analysis of 3D pre-operative CTC telomere profiling placed the patients into three subgroups with different potential risk of aggressive disease. Logistic regression modeling of the risk of progression estimated odds ratios with 95% confidence interval (CI) and separated patients into “stable” vs. “risk of aggressive” disease. The receiver operating characteristic (ROC) curve showed an area under the curve (AUC) of 0.77, while prostate specific antigen (PSA) (AUC of 0.59) and Gleason 3 + 4 = 7 vs. 4 + 3 = 7 (p > 0.6) were unable to predict progressive or stable disease. The data suggest that quantitative 3D telomere profiling of CTCs may be a potential tool for assessing a patient’s prostate cancer pre-treatment risk. MDPI 2019-06-20 /pmc/articles/PMC6627662/ /pubmed/31226731 http://dx.doi.org/10.3390/cancers11060855 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Drachenberg, Darrel Awe, Julius A. Rangel Pozzo, Aline Saranchuk, Jeff Mai, Sabine Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients |
title | Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients |
title_full | Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients |
title_fullStr | Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients |
title_full_unstemmed | Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients |
title_short | Advancing Risk Assessment of Intermediate Risk Prostate Cancer Patients |
title_sort | advancing risk assessment of intermediate risk prostate cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627662/ https://www.ncbi.nlm.nih.gov/pubmed/31226731 http://dx.doi.org/10.3390/cancers11060855 |
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