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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
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Prognostic Factors Associated with Biochemical Relapse After Radiotherapy in Localized Prostate Cancer: A

Nicolas Feltes Benitez1,2, Felipe Couñago3,4, Saturio Paredes Rubio1

  • 1Radiation Oncology Department, University Center, Hospital Universitario de Terrassa (CST), Ctra. de Torrebonica, s/n, 08227 Terrassa, Spain.

Biomedicines
|September 27, 2025
PubMed
Summary
This summary is machine-generated.

Biochemical recurrence after prostate cancer radiotherapy is predicted by higher PSA, Gleason score, and tumor burden in biopsies. Prolonged follow-up is crucial as recurrences can occur years later.

Keywords:
Gleason score/ISUP gradePSAbiochemical recurrenceexternal-beam radiotherapyperineural invasionpositive biopsy coresprostate cancerrisk stratification

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Area of Science:

  • Oncology
  • Radiation Oncology
  • Urology

Background:

  • Biochemical recurrence (BCR) is a key event after radiotherapy for localized prostate cancer (PC).
  • Prognostic value of biopsy pathology in RT-treated PC cohorts needs further exploration.

Purpose of the Study:

  • To identify predictors of BCR after definitive radiotherapy for localized PC.
  • To evaluate the role of biopsy-derived pathological parameters in predicting BCR.

Main Methods:

  • Retrospective analysis of 444 localized PC patients treated with external beam radiotherapy.
  • Data collected: clinical, radiological, and histopathological details (Gleason score, perineural invasion, positive biopsy core metrics).
  • Logistic regression models used to identify BCR predictors.

Main Results:

  • Median follow-up of 72 months; 11.7% developed BCR.
  • Independent predictors of BCR: higher PSA, higher Gleason score (ISUP ≥ 4), and greater tumor burden in biopsy cores (number/proportion).
  • Perineural invasion showed a univariable association but was not significant in multivariable analysis. Late recurrences (beyond 5 years) occurred in 19.2% of cases.

Conclusions:

  • PSA at diagnosis, biopsy tumor extent, and ISUP grade group ≥ 4 independently predict BCR after RT for localized PC.
  • Lower Gleason categories and perineural invasion showed trends but were not independent predictors.
  • Prolonged patient follow-up is essential due to late biochemical recurrences.