Risk Stratification of Prostate Cancer Through Quantitative Assessment of PTEN Loss (qPTEN). (4th March 2020)
- Record Type:
- Journal Article
- Title:
- Risk Stratification of Prostate Cancer Through Quantitative Assessment of PTEN Loss (qPTEN). (4th March 2020)
- Main Title:
- Risk Stratification of Prostate Cancer Through Quantitative Assessment of PTEN Loss (qPTEN)
- Authors:
- Jamaspishvili, Tamara
Patel, Palak G
Niu, Yi
Vidotto, Thiago
Caven, Isabelle
Livergant, Rachel
Fu, Winnie
Kawashima, Atsunari
How, Nathan
Okello, John B
Guedes, Liana B
Ouellet, Veronique
Picanço, Clarissa
Koti, Madhuri
Reis, Rodolfo B
Saad, Fred
Mes-Masson, Anne-Marie
Lotan, Tamara L
Squire, Jeremy A
Peng, Yingwei P
Siemens, D Robert
Berman, David M - Abstract:
- Abstract: Background: Phosphatase and tensin homolog (PTEN) loss has long been associated with adverse findings in early prostate cancer. Studies to date have yet to employ quantitative methods (qPTEN) for measuring of prognostically relevant amounts of PTEN loss in postsurgical settings and demonstrate its clinical application. Methods: PTEN protein levels were measured by immunohistochemistry in radical prostatectomy samples from training (n = 410) and validation (n = 272) cohorts. PTEN loss was quantified per cancer cell and per tissue microarray core. Thresholds for identifying clinically relevant PTEN loss were determined using log-rank statistics in the training cohort. Univariate (Kaplan-Meier) and multivariate (Cox proportional hazards) analyses on various subpopulations were performed to assess biochemical recurrence-free survival (BRFS) and were independently validated. All statistical tests were two-sided. Results: PTEN loss in more than 65% cancer cells was most clinically relevant and had statistically significant association with reduced BRFS in training (hazard ratio [HR] = 2.48, 95% confidence interval [CI] = 1.59 to 3.87; P < .001) and validation cohorts (HR = 4.22, 95% CI = 2.01 to 8.83; P < .001). The qPTEN scoring method identified patients who recurred within 5.4 years after surgery ( P < .001). In men with favorable risk of biochemical recurrence (Cancer of the Prostate Risk Assessment – Postsurgical scores <5 and no adverse pathological features),Abstract: Background: Phosphatase and tensin homolog (PTEN) loss has long been associated with adverse findings in early prostate cancer. Studies to date have yet to employ quantitative methods (qPTEN) for measuring of prognostically relevant amounts of PTEN loss in postsurgical settings and demonstrate its clinical application. Methods: PTEN protein levels were measured by immunohistochemistry in radical prostatectomy samples from training (n = 410) and validation (n = 272) cohorts. PTEN loss was quantified per cancer cell and per tissue microarray core. Thresholds for identifying clinically relevant PTEN loss were determined using log-rank statistics in the training cohort. Univariate (Kaplan-Meier) and multivariate (Cox proportional hazards) analyses on various subpopulations were performed to assess biochemical recurrence-free survival (BRFS) and were independently validated. All statistical tests were two-sided. Results: PTEN loss in more than 65% cancer cells was most clinically relevant and had statistically significant association with reduced BRFS in training (hazard ratio [HR] = 2.48, 95% confidence interval [CI] = 1.59 to 3.87; P < .001) and validation cohorts (HR = 4.22, 95% CI = 2.01 to 8.83; P < .001). The qPTEN scoring method identified patients who recurred within 5.4 years after surgery ( P < .001). In men with favorable risk of biochemical recurrence (Cancer of the Prostate Risk Assessment – Postsurgical scores <5 and no adverse pathological features), qPTEN identified a subset of patients with shorter BRFS (HR = 5.52, 95% CI = 2.36 to 12.90; P < .001) who may be considered for intensified monitoring and/or adjuvant therapy. Conclusions: Compared with previous qualitative approaches, qPTEN improves risk stratification of postradical prostatectomy patients and may be considered as a complementary tool to guide disease management after surgery. … (more)
- Is Part Of:
- Journal of the National Cancer Institute. Volume 112:Number 11(2020)
- Journal:
- Journal of the National Cancer Institute
- Issue:
- Volume 112:Number 11(2020)
- Issue Display:
- Volume 112, Issue 11 (2020)
- Year:
- 2020
- Volume:
- 112
- Issue:
- 11
- Issue Sort Value:
- 2020-0112-0011-0000
- Page Start:
- 1098
- Page End:
- 1104
- Publication Date:
- 2020-03-04
- Subjects:
- Cancer -- Periodicals
Cancer -- Research -- Periodicals
616.994 - Journal URLs:
- https://jnci.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/jnci/djaa032 ↗
- Languages:
- English
- ISSNs:
- 0027-8874
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4830.000000
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- 15076.xml