» Articles » PMID: 26956509

Grading of Prostatic Adenocarcinoma: Current State and Prognostic Implications

Overview
Journal Diagn Pathol
Publisher Biomed Central
Specialty Pathology
Date 2016 Mar 10
PMID 26956509
Citations 93
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Despite significant changes in the clinical and histologic diagnosis of prostate cancer, the Gleason grading system remains one of the most powerful prognostic predictors in prostate cancer. The correct diagnosis and grading of prostate cancer is crucial for a patient's prognosis and therapeutic options. However, this system has undergone significant revisions and continues to have deficiencies that can potentially impact patient care.

Main Body: We describe the current state of grading prostate cancer, focusing on the current guidelines for the Gleason grading system and recent changes from the 2014 International Society of Urological Pathology Consensus Conference on Gleason Grading of Prostatic Carcinoma. We also explore the limitations of the current Gleason grading system and present a validated alternative to the Gleason score. The new grading system initially described in 2013 in a study from Johns Hopkins Hospital and then validated in a multi-institutional study, includes five distinct Grade Groups based on the modified Gleason score groups. Grade Group 1 = Gleason score ≤6, Grade Group 2 = Gleason score 3 + 4 = 7, Grade Group 3 = Gleason score 4 + 3 = 7, Grade Group 4 = Gleason score 8, Grade Group 5 = Gleason scores 9 and 10.

Conclusion: As this new grading system is simpler and more accurately reflects prostate cancer biology, it is recommended by the World Health Organization (WHO) to be used in conjunction with Gleason grading.

Citing Articles

The number of involved regions by prostate adenocarcinoma predicts histopathology concordance between radical prostatectomy specimens and MRI/ultrasound-fusion targeted prostate biopsy.

Yusim I, Mazor E, Frumkin E, Hefer B, Li S, Novack V Front Oncol. 2024; 14:1496479.

PMID: 39723377 PMC: 11668676. DOI: 10.3389/fonc.2024.1496479.


Artificial Intelligence Algorithms and Their Current Role in the Identification and Comparison of Gleason Patterns in Prostate Cancer Histopathology: A Comprehensive Review.

Khalid U, Gurung J, Doykov M, Kostov G, Hristov B, Uchikov P Diagnostics (Basel). 2024; 14(19).

PMID: 39410530 PMC: 11475684. DOI: 10.3390/diagnostics14192127.


Heterogeneous genetic architectures of prostate cancer susceptibility in sub-Saharan Africa.

Janivara R, Chen W, Hazra U, Baichoo S, Agalliu I, Kachambwa P Nat Genet. 2024; 56(10):2093-2103.

PMID: 39358599 DOI: 10.1038/s41588-024-01931-3.


Evaluation of Machine Learning Classification Models for False-Positive Reduction in Prostate Cancer Detection Using MRI Data.

Rippa M, Schulze R, Kenyon G, Himstedt M, Kwiatkowski M, Grobholz R Diagnostics (Basel). 2024; 14(15).

PMID: 39125553 PMC: 11311676. DOI: 10.3390/diagnostics14151677.


Validation and three years of clinical experience in using an artificial intelligence algorithm as a second read system for prostate cancer diagnosis-real-world experience.

Santa-Rosario J, Gustafson E, Sanabria Bellassai D, Gustafson P, de Socarraz M J Pathol Inform. 2024; 15:100378.

PMID: 38868487 PMC: 11166872. DOI: 10.1016/j.jpi.2024.100378.


References
1.
van der Kwast T, Al Daoud N, Collette L, Sykes J, Thoms J, Milosevic M . Biopsy diagnosis of intraductal carcinoma is prognostic in intermediate and high risk prostate cancer patients treated by radiotherapy. Eur J Cancer. 2012; 48(9):1318-25. DOI: 10.1016/j.ejca.2012.02.003. View

2.
Wilt T, Brawer M, Jones K, Barry M, Aronson W, Fox S . Radical prostatectomy versus observation for localized prostate cancer. N Engl J Med. 2012; 367(3):203-13. PMC: 3429335. DOI: 10.1056/NEJMoa1113162. View

3.
Ross H, Kryvenko O, Cowan J, Simko J, Wheeler T, Epstein J . Do adenocarcinomas of the prostate with Gleason score (GS) ≤6 have the potential to metastasize to lymph nodes?. Am J Surg Pathol. 2012; 36(9):1346-52. PMC: 3421030. DOI: 10.1097/PAS.0b013e3182556dcd. View

4.
Resnick M, Koyama T, Fan K, Albertsen P, Goodman M, Hamilton A . Long-term functional outcomes after treatment for localized prostate cancer. N Engl J Med. 2013; 368(5):436-45. PMC: 3742365. DOI: 10.1056/NEJMoa1209978. View

5.
Turker P, Bas E, Bozkurt S, Gunlusoy B, Sezgin A, Postaci H . Presence of high grade tertiary Gleason pattern upgrades the Gleason sum score and is inversely associated with biochemical recurrence-free survival. Urol Oncol. 2011; 31(1):93-8. DOI: 10.1016/j.urolonc.2010.10.009. View