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Fernandez Salamanca M, Simões R, Deręgowska-Cylke M, van Leeuwen PJ, van der Poel HG, Bekers E, Guimaraes MAS, van der Heide UA, Schoots IG. Beyond Gleason grading: MRI radiomics to differentiate cribriform growth from non-cribriform growth in prostate cancer men. MAGMA (NEW YORK, N.Y.) 2025:10.1007/s10334-025-01251-5. [PMID: 40299156 DOI: 10.1007/s10334-025-01251-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Revised: 03/12/2025] [Accepted: 03/31/2025] [Indexed: 04/30/2025]
Abstract
OBJECTIVE To differentiate cribriform (GP4Crib+) from non-cribriform growth and Gleason 3 patterns (GP4Crib-/GP3) using MRI. METHODS Two hundred and ninety-one operated prostate cancer men with pre-treatment MRI and whole-mount prostate histology were retrospectively included. T2-weighted, apparent diffusion coefficient (ADC) and fractional blood volume maps from 1.5/3T MRI systems were used. 592 histological GP3, GP4Crib- and GP4Crib+ regions were segmented on whole-mount specimens and manually co-registered to MRI sequences/maps. Radiomics features were extracted, and an erosion process was applied to minimize the impact of delineation uncertainties. A logistic regression model was developed to differentiate GP4Crib+ from GP3/GP4Crib- in the 465 remaining regions. The differences in balanced accuracy between the model and baseline (where all regions are labeled as GP3/GP4Crib-) and 95% confidence intervals (CI) for all metrics were assessed using bootstrapping. RESULTS The logistic regression model, using the 90th percentile ADC feature with a negative coefficient, showed a balanced accuracy of 0.65 (95% CI: 0.48-0.79), receiver operating characteristic area under the curve (AUC) of 0.75 (95% CI: 0.54-0.92), a precision-recall AUC of 0.35 (95% CI: 0.14-0.68). CONCLUSION The radiomics MRI-based model, trained on Gleason sub-patterns segmented on whole-mount specimen, was able to differentiate GP4Crib+ from GP3/GP4Crib- patterns with moderate accuracy. The most dominant feature was the 90th percentile ADC. This exploratory study highlights 90th percentile ADC as a potential biomarker for cribriform growth differentiation, providing insights into future MRI-based risk assessment strategies.
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Affiliation(s)
- Mar Fernandez Salamanca
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
| | - Rita Simões
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Pim J van Leeuwen
- Department of Urology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Henk G van der Poel
- Department of Urology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Urology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Elise Bekers
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marcos A S Guimaraes
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Uulke A van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ivo G Schoots
- Department of Radiology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands.
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
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Agosti V, Munari E. Histopathological evaluation and grading for prostate cancer: current issues and crucial aspects. Asian J Androl 2024; 26:575-581. [PMID: 39254403 PMCID: PMC11614181 DOI: 10.4103/aja202440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 06/05/2024] [Indexed: 09/11/2024] Open
Abstract
ABSTRACT A crucial aspect of prostate cancer grading, especially in low- and intermediate-risk cancer, is the accurate identification of Gleason pattern 4 glands, which includes ill-formed or fused glands. However, there is notable inconsistency among pathologists in recognizing these glands, especially when mixed with pattern 3 glands. This inconsistency has significant implications for patient management and treatment decisions. Conversely, the recognition of glomeruloid and cribriform architecture has shown higher reproducibility. Cribriform architecture, in particular, has been linked to the worst prognosis among pattern 4 subtypes. Intraductal carcinoma of the prostate (IDC-P) is also associated with high-grade cancer and poor prognosis. Accurate identification, classification, and tumor size evaluation by pathologists are vital for determining patient treatment. This review emphasizes the importance of prostate cancer grading, highlighting challenges like distinguishing between pattern 3 and pattern 4 and the prognostic implications of cribriform architecture and intraductal proliferations. It also addresses the inherent grading limitations due to interobserver variability and explores the potential of computational pathology to enhance pathologist accuracy and consistency.
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Affiliation(s)
- Vittorio Agosti
- Section of Pathology, Department of Molecular and Translational Medicine, University of Brescia, Brescia 25121, Italy
| | - Enrico Munari
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona 37126, Italy
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Karwacki J, Stodolak M, Dłubak A, Nowak Ł, Gurwin A, Kowalczyk K, Kiełb P, Holdun N, Szlasa W, Krajewski W, Hałoń A, Karwacka A, Szydełko T, Małkiewicz B. Association of Lymphovascular Invasion with Biochemical Recurrence and Adverse Pathological Characteristics of Prostate Cancer: A Systematic Review and Meta-analysis. EUR UROL SUPPL 2024; 69:112-126. [PMID: 39430411 PMCID: PMC11490882 DOI: 10.1016/j.euros.2024.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/14/2024] [Indexed: 10/22/2024] Open
Abstract
Background and objective Lymphovascular invasion (LVI) is a significant histopathological feature in prostate cancer (PCa) associated with higher risk of biochemical recurrence (BCR) and other adverse outcomes. Our aim was to assess the association of LVI found in radical prostatectomy (RP) specimens with BCR and adverse clinicopathological findings. Methods A systematic literature search was conducted using the PubMed, Embase, and Web of Science databases in July 2023, with an additional search in May 2024. We included 94 prospective and retrospective studies reporting on LVI in RP specimens and its association with the specified outcomes. Key findings and limitations Meta-analyses revealed that LVI is significantly associated with higher BCR risk (hazard ratio 1.96, 95% confidence interval [CI] 1.73-2.21), higher pathological tumour stage (odds ratio [OR] 5.77; 95% CI 3.96-8.40), higher Gleason score (OR 5.19, 95% CI 4.12-6.54), lymph node metastasis (OR 11.52, 95% CI 7.65-17.34), distant metastasis (OR 9.10, 95% CI 5.46-15.17), positive surgical margins (OR 2.38, 95% CI 1.83-3.09), extraprostatic extension (OR 5.01, 95% CI 3.11-8.06), seminal vesicle invasion (OR 7.50, 95% CI 3.47-16.23), and perineural invasion (OR 133.71, 95% CI 65.93-271.15). Major limitations of this study include high heterogeneity of the data and the reliance on nonrandomised studies. Conclusions and clinical implications Our findings reveal that LVI is associated with nearly twofold higher risk of BCR, highlighting its potential role as a critical prognostic marker. Patient summary We analysed data from multiple studies to understand the impact of the spread of prostate cancer into the lymph or blood vessels, called lymphovascular invasion (LVI). We found that LVI is linked to a higher risk of cancer recurrence after surgery and other negative outcomes. Our findings highlight the importance of considering LVI in treatment decisions for better management of prostate cancer.
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Affiliation(s)
- Jakub Karwacki
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Marcel Stodolak
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Andrzej Dłubak
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Łukasz Nowak
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Adam Gurwin
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Kamil Kowalczyk
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Paweł Kiełb
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Nazar Holdun
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Wojciech Szlasa
- Department of Molecular and Cellular Biology, Faculty of Pharmacy, Wroclaw Medical University, Wroclaw, Poland
| | - Wojciech Krajewski
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Agnieszka Hałoń
- Department of Clinical and Experimental Pathology, Wroclaw Medical University, Wroclaw, Poland
| | | | - Tomasz Szydełko
- University Center of Excellence in Urology, Wroclaw Medical University, Wroclaw, Poland
| | - Bartosz Małkiewicz
- University Center of Excellence in Urology, Department of Minimally Invasive and Robotic Urology, Wroclaw Medical University, Wroclaw, Poland
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4
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Nguyen JK, Harik LR, Klein EA, Li J, Corrigan D, Liu S, Chan E, Hawley S, Auman H, Newcomb LF, Carroll PR, Cooperberg MR, Filson CP, Simko JP, Nelson PS, Tretiakova MS, Troyer D, True LD, Vakar-Lopez F, Weight CJ, Lin DW, Brooks JD, McKenney JK. Proposal for an optimised definition of adverse pathology (unfavourable histology) that predicts metastatic risk in prostatic adenocarcinoma independent of grade group and pathological stage. Histopathology 2024; 85:598-613. [PMID: 38828674 PMCID: PMC11365761 DOI: 10.1111/his.15231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 04/22/2024] [Accepted: 05/16/2024] [Indexed: 06/05/2024]
Abstract
AIMS Histological grading of prostate cancer is a powerful prognostic tool, but current criteria for grade assignment are not fully optimised. Our goal was to develop and test a simplified histological grading model, based heavily on large cribriform/intraductal carcinoma, with optimised sensitivity for predicting metastatic potential. METHODS AND RESULTS Two separate non-overlapping cohorts were identified: a 419-patient post-radical prostatectomy cohort with long term clinical follow-up and a 209-patient post-radical prostatectomy cohort in which all patients had pathologically confirmed metastatic disease. All prostatectomies were re-reviewed for high-risk histological patterns of carcinoma termed 'unfavourable histology'. Unfavourable histology is defined by any classic Gleason pattern 5 component, any large cribriform morphology (> 0.25 mm) or intraductal carcinoma, complex intraluminal papillary architecture, grade 3 stromogenic carcinoma and complex anastomosing cord-like growth. For the outcome cohort, Kaplan-Meier analysis compared biochemical recurrence, metastasis and death between subjects with favourable and unfavourable histology, stratified by pathological stage and grade group. Multivariable Cox proportional hazards models evaluated adding unfavourable histology to the Memorial Sloan Kettering Cancer Center (MSKCC) post-prostatectomy nomogram and stratification by percentage of unfavourable histology. At 15 years unfavourable histology predicted biochemical recurrence, with sensitivity of 93% and specificity of 88%, metastatic disease at 100 and 48% and death at 100 and 46%. Grade group 2 prostate cancers with unfavourable histology were associated with metastasis independent of pathological stage, while those without had no risk. Histological models for prediction of metastasis based on only large cribriform/intraductal carcinoma or increasing diameter of cribriform size improved specificity, but with lower sensitivity. Multivariable Cox proportional hazards models demonstrated that unfavourable histology significantly improved discriminatory power of the MSKCC post-prostatectomy nomogram for biochemical failure (likelihood ratio test P < 0.001). In the retrospective review of a separate RP cohort in which all patients had confirmed metastatic disease, none had unequivocal favourable histology. CONCLUSIONS Unfavourable histology at radical prostatectomy is associated with metastatic risk, predicted adverse outcomes better than current grading and staging systems and improved the MSKCC post-prostatectomy nomogram. Most importantly, unfavourable histology stratified grade group 2 prostate cancers into those with and without metastatic potential, independent of stage. While unfavourable histology is driven predominantly by large cribriform/intraductal carcinoma, the recognition and inclusion of other specific architectural patterns add to the sensitivity for predicting metastatic disease. Moreover, a simplified dichotomous model improves communication and could increase implementation.
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Affiliation(s)
- Jane K. Nguyen
- Robert J. Tomsich Institute of Pathology and Laboratory Medicine, Cleveland Clinic, Cleveland, OH
| | - Lara R. Harik
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA
| | - Eric A. Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Jianbo Li
- Lerner Research Institute, Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Dillon Corrigan
- Lerner Research Institute, Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Shiguang Liu
- Department of Pathology, University of Florida Health, Jacksonville, FL
| | - Emily Chan
- Department of Pathology, University of California San Francisco, San Francisco, CA
| | - Sarah Hawley
- Canary Foundation, Palo Alto, CA
- Fred Hutchinson Cancer Center, Seattle, WA
| | | | - Lisa F. Newcomb
- Fred Hutchinson Cancer Center, Seattle, WA
- Department of Urology, University of Washington Medical Center, Seattle, WA
| | - Peter R. Carroll
- Department of Urology, University of California San Francisco, San Francisco, CA
| | | | | | - Jeff P. Simko
- Department of Pathology, University of California San Francisco, San Francisco, CA
| | - Peter S. Nelson
- Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington Medical Center, Seattle, WA
| | - Maria S. Tretiakova
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA
| | - Dean Troyer
- Department of Pathology, Eastern Virginia Medical School, Norfolk, VA
| | - Lawrence D. True
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA
| | - Funda Vakar-Lopez
- Department of Laboratory Medicine and Pathology, University of Washington Medical Center, Seattle, WA
| | | | - Daniel W Lin
- Fred Hutchinson Cancer Center, Seattle, WA
- Department of Urology, University of Washington Medical Center, Seattle, WA
| | - James D. Brooks
- Department of Urology, Stanford University Medical Center, Stanford, CA
| | - Jesse K. McKenney
- Robert J. Tomsich Institute of Pathology and Laboratory Medicine, Cleveland Clinic, Cleveland, OH
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
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Huang Y, Yuan D, Zeng R, Wan F, Tang Y, Dong Y, Liu X, Linghu X, Wang B, Pan J, Liang F, Huang S. Nomogram-based prognostic model construction for progression to castration-resistant prostate cancer in patients with high tumor burden and osseous metastatic prostate cancer. Am J Cancer Res 2024; 14:4459-4471. [PMID: 39417175 PMCID: PMC11477824 DOI: 10.62347/cwos3653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Accepted: 08/21/2024] [Indexed: 10/19/2024] Open
Abstract
This study aims to construct a Nomogram model to predict the risk of developing castration-resistant prostate cancer (CRPC) in patients with high tumor burden (HTB) and osseous metastatic prostate cancer (PCa), and to identify key prognostic factors. A retrospective analysis was conducted on patients with HTB and osseous metastatic PCa treated at The Sixth Affiliated Hospital, School of Medicine, South China University of Technology and the Second Affiliated Hospital of Guangzhou Medical University from January 2018 to February 2022. Patients' baseline data and laboratory indexes were collected. Cox regression analysis identified neural invasion (NI; P<0.001, HR: 2.371, 95% CI: 1.569-3.582), Gleason score (P=0.002, HR: 1.787, 95% CI: 1.241-2.573), initial PSA (P=0.004, HR: 1.677, 95% CI: 1.174-2.396), and lactate dehydrogenase (LDH; P<0.001, HR: 2.729, 95% CI: 1.855-4.014) as significant prognostic factors for progression to CRPC. The constructed Nomogram model exhibited high accuracy in predicting one- and two-year progression to CRPC, with external validation confirming its predictive performance. Time-dependent receiver operating characteristic (ROC) curves indicated that the areas under the curves (AUCs) of the model for one- and two-year progression to CRPC were 0.81 and 0.76, respectively. This model demonstrates high predictive performance, aiding clinical decision-making and providing personalized treatment strategies for patients with HTB and osseous metastatic PCa.
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Affiliation(s)
- Yiheng Huang
- Department of Urology Surgery, The Sixth Affiliated Hospital, School of Medicine, South China University of TechnologyFoshan 528200, Guangdong, China
| | - Dan Yuan
- Department of Urology Surgery, Jiangmen Central HospitalJiangmen 529000, Guangdong, China
| | - Rongfeng Zeng
- Department of Orthopaedic Surgery, People’s Hospital of LianzhouQingyuan 513400, Guangdong, China
| | - Fugui Wan
- Department of Orthopaedic Surgery, People’s Hospital of LianzhouQingyuan 513400, Guangdong, China
| | - Yubo Tang
- Department of Pharmacy, The First Affiliated Hospital of Sun Yat-Sen UniversityGuangzhou 510080, Guangdong, China
| | - Yong Dong
- Department of Radiation Oncology, The First Affiliated Dongguan Hospital of Guangdong Medical UniversityDongguan 523710, Guangdong, China
| | - Xiaorui Liu
- Department of Pharmacy, Affiliated Cancer Hospital and Institute of Guangzhou Medical UniversityGuangzhou 510095, Guangdong, China
| | - Xitao Linghu
- Department of Orthopaedic Surgery, The Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510260, Guangdong, China
| | - Bin Wang
- Department of Orthopaedic Surgery, The Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510260, Guangdong, China
| | - Jiangang Pan
- Department of Urology Surgery, The Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510260, Guangdong, China
| | - Fei Liang
- Department of Orthopaedic Surgery, People’s Hospital of LianzhouQingyuan 513400, Guangdong, China
| | - Shuai Huang
- Department of Orthopaedic Surgery, The Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510260, Guangdong, China
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Sirohi D. Histologic and molecular landscape of genitourinary tumors and clinical implications. Urol Oncol 2024; 42:191-192. [PMID: 38670817 DOI: 10.1016/j.urolonc.2024.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 04/14/2024] [Indexed: 04/28/2024]
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7
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Shimodaira K, Inoue R, Hashimoto T, Satake N, Shishido T, Namiki K, Harada K, Nagao T, Ohno Y. Significance of the cribriform morphology area ratio for biochemical recurrence in Gleason score 4 + 4 prostate cancer patients following robot-assisted radical prostatectomy. Cancer Med 2024; 13:e7086. [PMID: 38477506 PMCID: PMC10935882 DOI: 10.1002/cam4.7086] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 01/31/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND In prostate cancer, histological cribriform patterns are categorized as Gleason pattern 4, and recent studies have indicated that their size and percentage are associated with the risk of biochemical recurrence (BCR). However, these studies included a mixture of cases with various Gleason scores (GSs). We therefore examined the prognostic value of the area and percentage of cribriform patterns in patients with GS 4 + 4 prostate cancer. METHODS We investigated 108 patients with GS 4 + 4 prostate cancer who underwent robot-assisted radical prostatectomy (RARP). After digitally scanning the hematoxylin and eosin-stained slides, we measured the area of the entire cancer and cribriform patterns. Predictive factors for BCR were explored using log-rank test and Cox proportional hazard model analyses. RESULTS Sixty-seven (62.0%) patients had a cribriform pattern in RARP specimens, and 32 (29.6%) experienced BCR. The median total cancer area, cribriform pattern area, and percentage of cribriform pattern area (% cribriform) were 427.70 mm2 (interquartile range [IQR], 171.65-688.53 mm2 ), 8.85 mm2 (IQR, 0-98.83 mm2 ), and 2.44% (IQR, 0%-33.70%), respectively. Univariate analyses showed that higher preoperative serum prostate-specific antigen (PSA) levels, positive resection margins, advanced pathological T stage, extraprostatic extension, larger total cancer area, larger cribriform morphology area, and higher % cribriform values were significantly associated with BCR. A multivariate analysis demonstrated that the PSA level (hazard ratio [HR], 1.061; 95% confidence interval [CI], 1.011-1.113; p = 0.017) and % cribriform (HR, 1.018; 95% CI, 1.005-1.031; p = 0.005) were independent predictors of BCR. CONCLUSIONS An increased % cribriform value was associated with BCR in patients with GS 4 + 4 prostate cancer following RARP.
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Affiliation(s)
| | - Rie Inoue
- Anatomic PathologyTokyo Medical UniversityTokyoJapan
| | | | - Naoya Satake
- Department of UrologyTokyo Medical UniversityTokyoJapan
| | | | | | - Kazuharu Harada
- Department of Health Data ScienceTokyo Medical UniversityTokyoJapan
| | | | - Yoshio Ohno
- Department of UrologyTokyo Medical UniversityTokyoJapan
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Nguyen NNJ, Liu K, Lajkosz K, Iczkowski KA, van der Kwast TH, Downes MR. Addition of cribriform pattern 4 and intraductal prostatic carcinoma into the CAPRA-S tool improves post-radical prostatectomy patient stratification in a multi-institutional cohort. J Clin Pathol 2024:jcp-2023-209222. [PMID: 38378247 DOI: 10.1136/jcp-2023-209222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/08/2024] [Indexed: 02/22/2024]
Abstract
AIMS Pre-surgical risk classification tools for prostate cancer have shown better patient stratification with the addition of cribriform pattern 4 (CC) and intraductal prostatic carcinoma (IDC) identified in biopsies. Here, we analyse the additional prognostic impact of CC/IDC observed in prostatectomies using Cancer of Prostate Risk Assessment post-surgical (CAPRA-S) stratification. METHODS A retrospective cohort of treatment-naïve radical prostatectomy specimens from three North American academic institutions (2010-2018) was assessed for the presence of CC/IDC. Patients were classified, after calculating the CAPRA-S scores, into low-risk (0-2), intermediate-risk (3-5) and high-risk (6-12) groups. Kaplan-Meier curves were created to estimate biochemical recurrence (BCR)-free survival. Prognostic performance was examined using Harrell's concordance index, and the effects of CC/IDC within each risk group were evaluated using the Cox proportional hazards models. RESULTS Our cohort included 825 prostatectomies (grade group (GG)1, n=94; GG2, n=475; GG3, n=185; GG4, n=13; GG5, n=58). CC/IDC was present in 341 (41%) prostatectomies. With a median follow-up of 4.2 years (range 2.9-6.4), 166 (20%) patients experienced BCR. The CAPRA-S low-risk, intermediate-risk and high-risk groups comprised 357 (43%), 328 (40%) and 140 (17%) patients, and discriminated for BCR-free survival (p<0.0001). For CAPRA-S scores 3-5, the addition of CC/IDC status improved stratification for BCR (HR 2.27, 95% CI 1.41 to 3.66, p<0.001) and improved the overall c-index (0.689 vs 0.667, analysis of variance p<0.001). CONCLUSION The addition of CC/IDC into the CAPRA-S classification significantly improved post-radical prostatectomy patient stratification for BCR among the intermediate-risk group (CAPRA-S scores 3-5). The reporting of CC and IDC should be included in future prostate cancer stratification tools for improved outcome prediction.
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Affiliation(s)
| | - Kristen Liu
- Department of Pathology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Katherine Lajkosz
- Department of Biostatistics, University Health Network, Toronto, Ontario, Canada
| | - Kenneth A Iczkowski
- Department of Pathology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Theodorus H van der Kwast
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Pathology, University Health Network, Toronto, Ontario, Canada
| | - Michelle R Downes
- Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Anatomic Pathology, Precision Diagnostics & Therapeutics Program, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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9
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Downes MR, Liu KN, Yu Y, Lajkosz K, Kroon LJ, Hollemans E, Fleshner N, Finelli A, van Leenders GJLH, Iczkowski KA, van der Kwast TH. Addition of Cribriform and Intraductal Carcinoma Presence to Prostate Biopsy Reporting Strengthens Pretreatment Risk Stratification Using CAPRA and NCCN Tools. Clin Genitourin Cancer 2024; 22:47-55. [PMID: 37558528 DOI: 10.1016/j.clgc.2023.07.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND Pretreatment stratification tools can help in clinical decision making in prostate cancer. To date, none incorporates well-established routinely reported adverse prognostic pathologic features such as intraductal carcinoma of prostate (IDC) or cribriform pattern 4 (CC). OBJECTIVE To assess the impact of addition of CC and/or IDC on the Cancer of Prostate Risk Assessment (CAPRA) and National Cancer Comprehensive Network (NCCN) tools for predicting biochemical recurrence free survival (BCR-FS) and event-free survival (EFS) across multiple patient cohorts. DESIGN, SETTING, AND PARTICIPANTS Matched prostate biopsies and radical prostatectomies from institutions in Toronto, Wisconsin and Rotterdam. The presence/absence of CC/IDC was recorded on all biopsies. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Relationship to outcome was assessed using Cox proportional hazard models, ANOVA and Harrell's concordance index. RESULTS AND LIMITATIONS We included 1326 patients (Toronto- 612, Wisconsin- 542, Rotterdam- 172) with median follow up of 4.2 years (IQR 2.9-6.4 years); 306 (23.1%) had CC/IDC on biopsy with 207 (20.9%) BCR and 154 (11.6%) events (metastases/death). Addition of CC/IDC improved stratification in CAPRA scores 3 to 5 for BCR-FS (c-index increase 0.633-0.658, P < .001) and scores 6-10 for EFS (c-index increase 0.653-0.697, P < .001). For NCCN, all risk groups apart from score 1 to 2 showed improvement in BCR-FS (c-index increase 0.599-0.636, P < 0.001) and EFS prediction (c-index increase 0.648-0.697, P < .001). Sub-analysis of grade group (GG) 2 biopsies showed similar findings. The retrospective nature and inclusion of cases only reported by genitourinary pathologists are study limitations. CONCLUSIONS The clinical benefit of the addition of CC/IDC to both CAPRA and NCCN pretreatment tools was validated in 3 cohorts, including the subset of biopsy GG2 prostate cancer patients. PATIENT SUMMARY Including additional pathologic features to existing pretreatment, clinical decision making tools improves the ability to predict prostate cancer recurrence, cancer spread and death of disease.
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Affiliation(s)
- Michelle R Downes
- Department of Anatomic Pathology, Sunnybrook Health Sciences Centre, Precision Diagnostic & Therapeutic Program, Toronto, Ontario, Canada.
| | - Kristen N Liu
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI
| | - Yanhong Yu
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Katherine Lajkosz
- Department of Biostatistics, Princess Margaret Hospital, Toronto, Ontario, Canada
| | - Lisa J Kroon
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | - Eva Hollemans
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | - Neil Fleshner
- Division of Urology, Department of Surgery, University of Toronto, Toronto, Canada
| | - Antonio Finelli
- Division of Urology, Department of Surgical Oncology, Princess Margaret Cancer Centre-University Health Network, Toronto, Canada
| | - Geert J L H van Leenders
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | | | - Theodorus H van der Kwast
- Laboratory Medicine Program, University Health Network and Princess Margaret Cancer Centre, Toronto, ON, Canada
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10
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Kamecki H, Mielczarek Ł, Szempliński S, Dębowska M, Rajwa P, Baboudjian M, Klemm J, Rivas JG, Modzelewska E, Tayara O, Malewski W, Szostek P, Poletajew S, Kryst P, Sosnowski R, Nyk Ł. Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients. Cancers (Basel) 2023; 15:5462. [PMID: 38001723 PMCID: PMC10670701 DOI: 10.3390/cancers15225462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/28/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Data on Gleason pattern 4 (GP4) amount in biopsy tissue is important for prostate cancer (PC) risk assessment. We aim to investigate which GP4 quantification method predicts adverse pathology (AP) at radical prostatectomy (RP) the best in men diagnosed with intermediate-risk (IR) PC at magnetic resonance imaging (MRI)-guided biopsy. METHODS We retrospectively included 123 patients diagnosed with IR PC (prostate-specific antigen <20 ng/mL, grade group (GG) 2 or 3, no iT3 on MRI) at MRI-guided biopsy, who underwent RP. Twelve GP4 amount-related parameters were developed, based on GP4 quantification method (absolute, relative to core, or cancer length) and site (overall, targeted, systematic biopsy, or worst specimen). Additionally, we calculated PV×GP4 (prostate volume × GP4 relative to core length in overall biopsy), aiming to represent the total GP4 volume in the prostate. The associations of GP4 with AP (GG ≥ 4, ≥pT3a, or pN1) were investigated. RESULTS AP was reported in 39 (31.7%) of patients. GP4 relative to cancer length was not associated with AP. Of the 12 parameters, the highest ROC AUC value was seen for GP4 relative to core length in overall biopsy (0.65). an even higher AUC value was noted for PV × GP4 (0.67), with a negative predictive value of 82.8% at the optimal threshold. CONCLUSIONS The lack of an association of GP4 relative to cancer length with AP, contrasted with the better performance of other parameters, indicates directions for future research on PC risk stratification to accurately identify patients who may not require immediate treatment. Incorporating formulas aimed at GP4 volume assessment may lead to obtaining models with the best discrimination ability.
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Affiliation(s)
- Hubert Kamecki
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Łukasz Mielczarek
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Stanisław Szempliński
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Małgorzata Dębowska
- Nałęcz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, 02-109 Warsaw, Poland
| | - Paweł Rajwa
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria
- Department of Urology, Medical University of Silesia, 41-800 Zabrze, Poland
| | | | - Jakob Klemm
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria
- Department of Urology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Juan Gómez Rivas
- Department of Urology, Hospital Clinico San Carlos, 28040 Madrid, Spain
| | - Elza Modzelewska
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Omar Tayara
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Wojciech Malewski
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Przemysław Szostek
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Sławomir Poletajew
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Piotr Kryst
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
| | - Roman Sosnowski
- Department of Urology and Oncological Urology, Warmian-Masurian Cancer Center, 10-228 Olsztyn, Poland
| | - Łukasz Nyk
- Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland
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11
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He J, Che B, Li P, Li W, Huang T, Chen P, Liu M, Li G, Zhong S, Tang K. Ki67 and the apparent diffusion coefficient in postoperative prostate cancer with endocrine therapy. Front Surg 2023; 10:1140883. [PMID: 37091270 PMCID: PMC10113680 DOI: 10.3389/fsurg.2023.1140883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/20/2023] [Indexed: 04/08/2023] Open
Abstract
BackgroundProstate-specific antigen (PSA) is a critical part of prostate cancer (PCa) screening, diagnosis, staging, and prognosis. However, elevated PSA levels can also be caused by several external factors. To improve the specificity and sensitivity of PSA in clinical practice, we explored whether markers or parameters may be used as prognostic targets for PCa by long-term follow-up.MethodsA total of 121 PCa patients who underwent laparoscopic radical prostatectomy (LRP) were included in our study, all of whom underwent imaging and preoperative pathological diagnosis. Endocrine therapy has long been applied to treat postoperative patients. The prognosis of enrolled patients was followed, and statistics were collected. Spearman's correlation analysis was applied to examine the relationship and clinical parameters. Kaplan–Meier analysis was used to process the clinical variables of PCa patients. Cox proportional hazards regression analysis was applied to examine univariate and multivariate variables.ResultsThe Gleason score (GS), PSA, clinical stage, nerve infiltration, organ confinement, Ki67 and apparent diffusion coefficient (ADC) were significantly associated with prognosis (all P < 0.05). The GS, PSA, clinical stage, organ confined, Ki67, nerve infiltration and ADC were included in the multivariate analysis (all P < 0.05). Ultimately, Ki67 and the ADC were found to provide meaningful predictive information (both P < 0.05).ConclusionsKi67 and the ADC may be clinically and analytically valid prognostic biomarkers and imaging parameters in PCa. They may be useful for predicting the prognosis and risk of PCa patients undergoing postoperative routine endocrine therapy.
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Affiliation(s)
- Jun He
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Bangwei Che
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Po Li
- Department of Pathology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Wei Li
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Tao Huang
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Peng Chen
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Miao Liu
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Guangyu Li
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Siwen Zhong
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Kaifa Tang
- Department of Urology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
- Department of Urology and Andrology, The First Affiliated Hospital, Guizhou University of Traditional Chinese Medicine, Guiyang, China
- Correspondence: Kaifa Tang
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12
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Sato S, Kimura T, Onuma H, Egawa S, Shimoda M, Takahashi H. The highest percentage of Gleason Pattern 4 is a predictor in intermediate-risk prostate cancer. BJUI COMPASS 2023; 4:234-240. [PMID: 36816145 PMCID: PMC9931537 DOI: 10.1002/bco2.195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/27/2022] [Accepted: 09/27/2022] [Indexed: 02/17/2023] Open
Abstract
Objectives This study aims to clarify the clinicopathological significance of several novel pathological markers, including the percentage of Gleason pattern 4 and small/non-small cribriform pattern, in intermediate-risk Gleason score 3 + 4 = 7 prostate cancer. Subjects and Methods Two-hundred and twenty-eight patients with Gleason score 3 + 4 = 7 intermediate-risk prostate cancer who underwent radical prostatectomy between 2009 and 2019 at our institute were selected. Preoperative clinicopathological characteristics, including serum prostate-specific antigen level, clinical T stage, percentage of cancer-positive cores at biopsy, small/non-small cribriform pattern, the highest percentage of Gleason pattern 4, the total length of Gleason pattern 4 and percentage of Gleason score 7 cores were examined in univariate/multivariate logistic regression analysis to determine their predictive value for postoperative adverse pathological findings, defined as an upgrade to Gleason score 4 + 3 = 7 or higher, pN1 or pT3b disease. Results Fifty-four cases (23.7%) showed adverse pathological findings. Although a non-small cribriform pattern, highest Gleason pattern 4 percentage and total length of Gleason pattern 4 were predictive of adverse pathological findings in univariate analysis, only the highest Gleason pattern 4 percentage was an independent predictive factor in multivariate analysis (odds ratio: 1.610; 95% confidence interval: 1.260-2.070; P = 0.0002). Conclusion The highest Gleason pattern 4 percentage was a potent predictive parameter for Gleason score 3 + 4 = 7 intermediate-risk prostate cancer and should be considered in the risk classification scheme for prostate cancer.
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Affiliation(s)
- Shun Sato
- Department of PathologyThe Jikei University School of MedicineTokyoJapan
| | - Takahiro Kimura
- Department of UrologyThe Jikei University School of MedicineTokyoJapan
| | - Hajime Onuma
- Department of UrologyThe Jikei University School of MedicineTokyoJapan
| | - Shin Egawa
- Department of UrologyThe Jikei University School of MedicineTokyoJapan
| | - Masayuki Shimoda
- Department of PathologyThe Jikei University School of MedicineTokyoJapan
| | - Hiroyuki Takahashi
- Department of PathologyThe Jikei University School of MedicineTokyoJapan
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13
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Abstract
"Cribriform lesions of the prostate represent an important and often diagnostically challenging spectrum of prostate pathology. These lesions range from normal anatomical variation, benign proliferative lesions, premalignant, suspicious to frankly malignant and biologically aggressive entities. The concept of cribriform prostate adenocarcinoma (CrP4) and intraductal carcinoma of the prostate (IDC-P), in particular, has evolved significantly in recent years with a growing body of evidence suggesting that the presence of these morphologies is important for clinical decision-making in prostate cancer management. Therefore, accurate recognition and reporting of CrP4 and IDC-P architecture are especially important. This review discusses a contemporary diagnostic approach to cribriform lesions of the prostate with a focus on their key morphologic features, differential diagnosis, underlying molecular alterations, clinical significance, and reporting recommendations."
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Affiliation(s)
- Qi Cai
- Department of Pathology, 04.449, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA
| | - Rajal B Shah
- Department of Pathology, 04.449, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
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14
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Gordetsky JB, Schaffer K, Hurley PJ. Current conundrums with cribriform prostate cancer. Histopathology 2022; 80:1038-1040. [PMID: 35592932 DOI: 10.1111/his.14665] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 04/12/2022] [Accepted: 04/13/2022] [Indexed: 12/15/2022]
Affiliation(s)
- Jennifer B Gordetsky
- Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kerry Schaffer
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Paula J Hurley
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
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