Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May 15;126(10):2132-2138.
doi: 10.1002/cncr.32778. Epub 2020 Feb 19.

Validation of a subclassification for high-risk prostate cancer in a prospective cohort

Affiliations
Free article

Validation of a subclassification for high-risk prostate cancer in a prospective cohort

Santino S Butler et al. Cancer. .
Free article

Abstract

Background: A subgroup of men with favorable high-risk prostate cancer (T1c with either a Gleason score of 4 + 4 = 8 and a prostate-specific antigen [PSA] level <10 ng/mL or a Gleason score of 6 and a PSA level >20 ng/mL) has been associated with improved outcomes in comparison with other standard high-risk patients. This study was designed to validate the prognostic utility of a subclassification for high-risk disease with a prospectively collected data set.

Methods: This study identified 3033 men from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial who had been diagnosed from 1993 to 2001 with clinically localized prostate cancer-either intermediate-risk disease (clinical stage T2b-c, a Gleason score of 7, or a PSA level of 10 to 20 ng/mL) or high-risk disease (clinical stage T3-T4, a Gleason score of 8-10, or a PSA level >20 ng/mL)-that was managed with radical prostatectomy or radiation therapy. Multivariable logistic regression was used to calculate adjusted odds ratios (aORs) for pathological T3 to T4 or N1 (pT3-T4/pN1) disease. Fine and Gray competing risks regression was used to determine adjusted hazard ratios (aHRs) of prostate cancer-specific mortality (PCSM).

Results: The median follow-up was 5.7 years. Patients with favorable high-risk disease had lower 8-year PCSM in comparison with patients with standard high-risk disease (2.2% vs 10.8%; aHR, 0.26; 95% confidence interval [CI], 0.09-0.73; P = .01) but similar PCSM in comparison with patients with intermediate-risk disease (2.2% vs 2.2%; aHR, 0.90; 95% CI, 0.32-2.54; P = .84). Among those who underwent surgery, those with favorable high-risk disease had lower odds of pT3-T4/pN1 disease than those with standard high-risk disease (46.2% vs 63.3%; aOR, 0.50; 95% CI, 0.27-0.94; P = .03).

Conclusions: This study validates the prognostic utility of a subclassification for high-risk disease in a prospectively collected patient cohort. Patients with favorable high-risk disease have PCSM similar to that of patients with intermediate-risk disease and significantly better than that of patients with standard high-risk disease. Future trials are needed to assess possible de-intensification of therapy for favorable high-risk disease.

Keywords: high-risk prostate cancer; prognosis; proportional hazards models; prostatic neoplasms.

PubMed Disclaimer

Comment in

References

    1. National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®) Prostate Cancer. Version 2.2019, April 17, 2019. Accessed May 1, 2019. https://www.nccn.org/professionals/physician_gls/pdf/prostate.pdf
    1. Nezolosky M, Nguyen PL, Yang DD. Which patients with localized prostate cancer account for the greatest proportion of prostate cancer deaths? [abstract 130]. J Clin Oncol. 2018;36(6 suppl):130.
    1. Muralidhar V, Chen MH, Reznor G, et al. Definition and validation of “favorable high-risk prostate cancer”: implications for personalizing treatment of radiation-managed patients. Int J Radiat Oncol Biol Phys. 2015;93:828-835.
    1. Muralidhar V, Xiang M, Orio PF III, et al. Brachytherapy boost and cancer-specific mortality in favorable high-risk versus other high-risk prostate cancer. J Contemp Brachytherapy. 2016;8:1-6.
    1. Muralidhar V, Zhang J, Wang Q, et al. Genomic validation of three-tiered clinical sub-classification of high-risk prostate cancer. Int J Radiat Oncol Biol Phys. 2019;105:621-627.

Publication types

Substances