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Disorders of the Male Reproductive System01:20

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EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer-2026 Update. Part I: Screening, Diagnosis, and Local Treatment with Curative Intent.

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Updated: May 4, 2026

Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
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Current grading of prostate cancer.

Yosamin Gonzalez Belisario1, Geert J L H van Leenders2

  • 1Department of Pathology, room Be-222, Erasmus MC Cancer Institute, University Medical Centre, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.

Pathologie (Heidelberg, Germany)
|July 30, 2025
PubMed
Summary

The Gleason grading system is crucial for prostate cancer risk assessment. Recent advancements refine pathological tumor grading through quantitative analysis and growth pattern evaluation.

Keywords:
Classification systemCribriform patternGleason scoreGrowth patternIntraductal carcinoma

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Area of Science:

  • Oncology
  • Pathology

Background:

  • The Gleason grading system is fundamental for prostate cancer risk stratification and treatment decisions.
  • Pathological tumor grading has been enhanced by recent quantitative grading insights and understanding of specific growth patterns.

Purpose of the Study:

  • To provide an updated overview of the latest Gleason grading recommendations.
  • To discuss current research trends and future directions in prostate cancer pathological grading.

Main Methods:

  • Review of recent literature on prostate cancer grading.
  • Analysis of new insights in quantitative grading and tumor growth patterns.
  • Synthesis of updated grading recommendations.

Main Results:

  • The Gleason system remains central to prostate cancer management.
  • Quantitative methods and growth pattern analysis have improved grading accuracy.
  • New recommendations refine pathological assessment.

Conclusions:

  • The Gleason grading system continues to evolve with new data.
  • Ongoing research focuses on further optimizing pathological grading for better patient outcomes.
  • Future directions involve integrating advanced quantitative techniques.