Purpose: To develop nomograms predicting prostate cancer (PCa) and high-grade PCa (HGPCa) in the elderly population.
Methods: We reviewed the data of patients aged 75years and older who underwent first-time prostate biopsy and multiparametric magnetic resonance imaging (mpMRI). The nomograms were developed based on multivariate analysis and evaluated. We performed the external validation and calibration of the risk calculators from the European Randomized Study of Screening for Prostate Cancer (ERSPC) and the Prostate Cancer Prevention Trial (PCPT).
Results: The present study included 302 subjects with a median age of 78years (range: 75-91years). Overall, 225 and 129 subjects were diagnosed with PCa and HGPCa (Gleason score≥4+3), respectively. The ratio of free-to-total PSA, prostate-specific antigen density (PSAD), transrectal ultrasound (TRUS), and Prostate Imaging Reporting and Data System (PI-RADS) were used to develop the PCa-predicting nomogram, and PSAD, TRUS, and PI-RADS were used to develop the HGPCa-predicting nomogram. The area under the curve (AUC) values of PCa-predicting and HGPCa-predicting nomograms were 0.90 and 0.87. The ERSPC calculator had acceptable external calibration and validation outcomes. We recommended a cut-off probability of 42% for PCa-predicting nomogram when used in healthy older men to achieve a sensitivity of 95.6%, and a cut-off probability of 73% for HGPCa-predicting nomogram when used in vulnerable older men to achieve a specificity of 98.3%.
Conclusions: The present nomograms could help discriminate patients with PCa from healthy elder adults for standard treatment, and discriminate patients with HGPCa from vulnerable elder adults for modified treatment. External validation is expected.
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http://dx.doi.org/10.1016/j.jgo.2017.09.001 | DOI Listing |
JCO Precis Oncol
January 2025
Medical Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN.
Purpose: Considerable genetic heterogeneity is currently thought to underlie hereditary prostate cancer (HPC). Most families meeting criteria for HPC cannot be attributed to currently known pathogenic variants.
Methods: To discover pathogenic variants predisposing to prostate cancer, we conducted a familial case-control association study using both genome-wide single-allele and identity-by-descent analytic approaches.
Cancer Res Commun
January 2025
University of Minnesota, Minnesota, MN, United States.
Neuroendocrine neoplasms (NENs) encompass a diverse set of malignancies with limited precision therapy options. Recently, therapies targeting DLL3 have shown clinical efficacy in aggressive NENs, including small cell lung cancers and neuroendocrine prostate cancers. Given the continued development and expansion of DLL3-targeted therapies, we sought to characterize the expression of DLL3 and identify its clinical and molecular correlates across diverse neuroendocrine and non-neuroendocrine cancers.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
January 2025
Department of Biotechnology, Kakatiya University, Warangal, Telangana, India.
Objective: A new library of Thiazolidine-2,4-dione-biphenyl Derivatives derivatives (10a-j) was designed and synthesized. All compounds were characterized by spectral data. Further, these were evaluated for their in vitro anticancer activity.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
January 2025
Postgraduate Program in Oncology, Haroldo Juaçaba Hospital, Ceará Cancer Institute (ICC), Brazil.
Objective: This study aimed to investigate the influence of p16 immunohistochemical expression on the biochemical recurrence rate of pT2-pT3 prostate cancer.
Materials And Methods: A total of 488 pT2-pT3 stage prostate adenocarcinomas undergoing radical prostatectomy were included in this study. Following a review of Gleason classification and retrieval of sociodemographic and clinicopathological data, as well as the date of last consultation and biochemical recurrence, immunohistochemistry for p16 was performed.
FASEB J
January 2025
Prostate Cancer/Genitourologic Program, Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Among the known nuclear exportins, CRM1 is the most studied prototype. Dysregulation of CRM1 occurs in many cancers, hence, understanding the role of CRM1 in cancer can help in developing synergistic therapeutics. The study investigates how CRM1 affects prostate cancer growth and survival.
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