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Carmona Echeverria LM, Haider A, Freeman A, Stopka-Farooqui U, Rosenfeld A, Simpson BS, Hu Y, Hawkes D, Pye H, Heavey S, Stavrinides V, Norris JM, Bosaily AES, Cardona Barrena C, Bott S, Brown L, Burns-Cox N, Dudderidge T, Henderson A, Hindley R, Kaplan R, Kirkham A, Oldroyd R, Ghei M, Persad R, Punwani S, Rosario D, Shergill I, Winkler M, Ahmed HU, Emberton M, Whitaker HC. A critical evaluation of visual proportion of Gleason 4 and maximum cancer core length quantified by histopathologists. Sci Rep 2020; 10:17177. [PMID: 33057024 PMCID: PMC7561724 DOI: 10.1038/s41598-020-73524-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 08/28/2020] [Indexed: 01/02/2023] Open
Abstract
Gleason score 7 prostate cancer with a higher proportion of pattern 4 (G4) has been linked to genomic heterogeneity and poorer patient outcome. The current assessment of G4 proportion uses estimation by a pathologist, with a higher proportion of G4 more likely to trigger additional imaging and treatment over active surveillance. This estimation method has been shown to have inter-observer variability. Fifteen patients with Prostate Grade Group (GG) 2 (Gleason 3 + 4) and fifteen patients with GG3 (Gleason 4 + 3) disease were selected from the PROMIS study with 192 haematoxylin and eosin-stained slides scanned. Two experienced uropathologists assessed the maximum cancer core length (MCCL) and G4 proportion using the current standard method (visual estimation) followed by detailed digital manual annotation of each G4 area and measurement of MCCL (planimetric estimation) using freely available software by the same two experts. We aimed to compare visual estimation of G4 and MCCL to a pathologist-driven digital measurement. We show that the visual and digital MCCL measurement differs up to 2 mm in 76.6% (23/30) with a high degree of agreement between the two measurements; Visual gave a median MCCL of 10 ± 2.70 mm (IQR 4, range 5–15 mm) compared to digital of 9.88 ± 3.09 mm (IQR 3.82, range 5.01–15.7 mm) (p = 0.64) The visual method for assessing G4 proportion over-estimates in all patients, compared to digital measurements [median 11.2% (IQR 38.75, range 4.7–17.9%) vs 30.4% (IQR 18.37, range 12.9–50.76%)]. The discordance was higher as the amount of G4 increased (Bias 18.71, CI 33.87–48.75, r 0.7, p < 0.0001). Further work on assessing actual G4 burden calibrated to clinical outcomes might lead to the use of differing G4 thresholds of significance if the visual estimation is used or by incorporating semi-automated methods for G4 burden measurement.
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Affiliation(s)
- Lina Maria Carmona Echeverria
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK. .,Division of Surgery and Interventional Science, Department of Urology, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK.
| | - Aiman Haider
- Department of Pathology, University College London Hospital, 60 Whitfield Street, London, W1T4EU, UK
| | - Alex Freeman
- Department of Pathology, University College London Hospital, 60 Whitfield Street, London, W1T4EU, UK
| | - Urszula Stopka-Farooqui
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Avi Rosenfeld
- Department of Computer Science, Jerusalem College of Technology, Havaad Haleumi 21, Givat Mordechai, 91160, Jerusalem, Israel
| | - Benjamin S Simpson
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Yipeng Hu
- Centre for Medical Image Computing, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - David Hawkes
- Centre for Medical Image Computing, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Hayley Pye
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Susan Heavey
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Vasilis Stavrinides
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.,Division of Surgery and Interventional Science, Department of Urology, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK
| | - Joseph M Norris
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.,Division of Surgery and Interventional Science, Department of Urology, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK
| | - Ahmed El-Shater Bosaily
- Division of Surgery and Interventional Science, Department of Urology, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK.,Department of Radiology, Royal Free London NHS Foundation Trust, Pond Street, London, NW3 2QG, UK
| | - Cristina Cardona Barrena
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
| | - Simon Bott
- Department Urology, Frimley Park Hospital, Frimley Health NHS Foundation Trust, Portsmouth Road, Camberley, Surrey, GU16 7UJ, UK
| | - Louise Brown
- MRC Clinical Trials Unit at UCL, 90 High Holborn, London, WC1V 6LJ, UK
| | - Nick Burns-Cox
- Department of Urology, Musgrove Park Hospital, Taunton and Somerset NHS Foundation Trust, Taunton, TA1 5DA, UK
| | - Tim Dudderidge
- Department of Urology, University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, Hampshire, SO16 6YD, UK
| | - Alastair Henderson
- Department of Urology, Maidstone and Tunbridge Wells NHS Trust, Hermitage Lane, Tunbridge Wells, ME16 9QQ, UK
| | - Richard Hindley
- Department of Urology, Hampshire Hospitals NHS Foundation Trust, Aldermaston Road, Basingstoke, Hampshire, RG24 9NA, UK
| | - Richard Kaplan
- MRC Clinical Trials Unit at UCL, 90 High Holborn, London, WC1V 6LJ, UK
| | - Alex Kirkham
- Centre for Medical Image Computing, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.,Department of Radiology, UCLH NHS Foundation Trust, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK
| | - Robert Oldroyd
- Public and Patient Representative, 19 Exbury Gardens, West Bridgford, Nottingham, NG2 7SL, UK
| | - Maneesh Ghei
- Department of Urology, Whittington Health NHS Trust, Magdala Avenue, London, N19 5NF, UK
| | - Raj Persad
- Department of Urology, North Bristol NHS Trust, Southmead Road, Westbury-on-Trym, Bristol, BS10 5NB, UK
| | - Shonit Punwani
- Centre for Medical Image Computing, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK.,Department of Radiology, UCLH NHS Foundation Trust, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK
| | - Derek Rosario
- Department of Urology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Glossop Road, Sheffield, South Yorkshire, S10 2JF, UK
| | - Iqbal Shergill
- Department of Urology, Wrexham Maelor Hospital NHS Trust, Croesnewydd Road, Wrexham, LL13 7TD, UK
| | - Mathias Winkler
- Department of Urology, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Hashim U Ahmed
- Department of Urology, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.,Imperial Prostate, Division of Surgery, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Mark Emberton
- Division of Surgery and Interventional Science, Department of Urology, University College London Hospital, 235 Euston Road, London, NW1 2BU, UK
| | - Hayley C Whitaker
- Molecular Diagnostics and Therapeutics Group, Division of Surgery and Interventional Science, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TS, UK
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Liu H, Zhou H, Yan L, Ye T, Lu H, Sun X, Ye Z, Xu H. Prognostic significance of six clinicopathological features for biochemical recurrence after radical prostatectomy: a systematic review and meta-analysis. Oncotarget 2017; 9:32238-32249. [PMID: 30181813 PMCID: PMC6114957 DOI: 10.18632/oncotarget.22459] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 10/11/2017] [Indexed: 11/25/2022] Open
Abstract
Identifying patients with high risk of biochemical recurrence after radical prostatectomy is of immense value in clinical practice. Assessment of prognostic significance of specific clinicopathological features plays an important role in surgical management after prostatectomy. The purpose of our meta-analysis was to investigate the association between the six pathological characteristics and the prognosis of prostate cancer. We carried out a systematic document retrieval in electronic databases to sort out appropriate studies. Outcomes of interest were gathered from studies comparing biochemical recurrence-free survival (BCFS) in patients with the six pathological traits. Studies results were pooled, and hazard ratios (HRs) combined with corresponding 95% confidence intervals (CIs) for survival were used to estimate the effect size. 29 studies (21,683 patients) were enrolled in our meta-analysis. All the six predictors were statistically significant for BCFS with regard to seminal vesicle invasion (HR = 1.97, 95% CI = 1.79–2.18, p < 0.00001), positive surgical margin (HR = 1.79, 95% CI = 1.56–2.06, p < 0.00001), extracapsular extension (HR = 2.03, 95% CI = 1.65–2.50, p < 0.0001), lymphovascular invasion (HR = 1.85, 95% CI = 1.54–2.22, p < 0.00001), lymph node involvement (HR = 1.88, 95% CI = 1.37–2.60, p = 0.0001) and perineural invasion (HR = 1.59, 95% CI = 1.33–1.91, p < 0.00001). Subgroup analysis showed that all the six predictors had significantly relationship with poor BCFS. The pooled results demonstrated that the six clinical findings indicated a worse prognosis in patients with prostate cancer. In conclusion, our results show several clinicopathological characteristics can predict the risk of biochemical recurrence after radical prostatectomy. Prospective studies are needed to further confirm the predictive value of these features for the prognosis of prostate cancer patients after radical prostatectomy.
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Affiliation(s)
- Haoran Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hui Zhou
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Libin Yan
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tao Ye
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hongyan Lu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xifeng Sun
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhangqun Ye
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hua Xu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.,Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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