| Literature DB >> 33924255 |
Hayley Pye1, Saurabh Singh2,3, Joseph M Norris1,4, Lina M Carmona Echeverria1,4, Vasilis Stavrinides1,4, Alistair Grey4,5, Eoin Dinneen4,5, Elly Pilavachi2,3, Joey Clemente2,3, Susan Heavey1, Urszula Stopka-Farooqui1, Benjamin S Simpson1, Elisenda Bonet-Carne6, Dominic Patel7, Peter Barker8, Keith Burling8, Nicola Stevens2,3, Tony Ng9, Eleftheria Panagiotaki6, David Hawkes10, Daniel C Alexander6, Manuel Rodriguez-Justo7, Aiman Haider7, Alex Freeman7, Alex Kirkham3, David Atkinson2, Clare Allen3, Greg Shaw4,5, Teresita Beeston2, Mrishta Brizmohun Appayya2, Arash Latifoltojar2,11, Edward W Johnston2,3, Mark Emberton1,4, Caroline M Moore1,4, Hashim U Ahmed12,13, Shonit Punwani2,3, Hayley C Whitaker1.
Abstract
Objectives: To assess the clinical outcomes of mpMRI before biopsy and evaluate the space remaining for novel biomarkers.Entities:
Keywords: INNOVATE; PSA density; biomarkers; diagnosis; multiparametric MRI; prostate cancer
Year: 2021 PMID: 33924255 PMCID: PMC8074769 DOI: 10.3390/cancers13081985
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.575
Summary demographic, clinical, radiological and pathological outcome data for all men included in the INNOVATE trial, stratified by highest Likert score. Grouped by (Table A) decision to biopsy and (Table B) presence of clinically significant prostate cancer on biopsy. Biopsy result reported as prognostic grade groups (PGG). Biopsy results are reported as prognostic grade group (PGG), endorsed and accepted by the International Society of Urological Pathology (ISUP) [23].
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| Pre-biopsy mpMRI | ||||||||
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| 66 (60, 70) | 65 (58, 70) | 65 (55, 74) | ~ | 62 (61, 63) | 64 (58, 68) | 64 (59, 70) | 68 (62, 72) |
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| 5.4 | 5.1 | 7.5 | ~ | 4.8 | 5.8 | 7.7 | 9.6 |
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| 0.09 | 0.09 | 0.05 | ~ | 0.08 | 0.13 | 0.14 | 0.29 |
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| 65 | 50 | 90 | ~ | 61 | 50 | 46 | 40 |
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| Negative Biopsy | ~ | ~ | ~ | ~ | 2 (100%) | 58 (71%) | 24 (37%) | 1 (2.2%) |
| PGG 1 | ~ | ~ | ~ | ~ | ~ | 15 (18%) | 3 (4.6%) | ~ |
| PGG 2 | ~ | ~ | ~ | ~ | ~ | 8 (9.8%) | 33 (51%) | 20 (43%) |
| PGG 3 | ~ | ~ | ~ | ~ | ~ | ~ | 2 (3.1%) | 17 (37%) |
| PGG 4 | ~ | ~ | ~ | ~ | ~ | 1 (1.2%) | 2 (3.1%) | 3 (6.5%) |
| PGG 5 | ~ | ~ | ~ | ~ | ~ | ~ | 1 (1.5%) | 5 (11%) |
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| ~ | ~ | ~ | ~ | ~ | 3.0 | 7.0 | 10.0 |
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| Pre-biopsy mpMRI | ||||||||
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| 62 (61, 63) | 64 (58, 68) | 64 (60, 68) | 69 (69, 69) | ~ | 58 (56, 66) | 65 (59, 71) | 67 (62, 72) |
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| 4.8 | 5.8 | 6.2 | 6.5 | ~ | 4.7 | 8.0 | 9.7 |
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| 0.08 | 0.12 | 0.12 | 0.11 | ~ | 0.20 | 0.17 | 0.31 |
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| 61 | 53 | 58 | 57 | ~ | 30 | 38 | 40 |
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| Negative Biopsy | 2 (100%) | 58 (83%) | 24 (92%) | 1 (100%) | ~ | ~ | ~ | ~ |
| PGG 1 | ~ | 12 (17%) | 2 (7.7%) | ~ | ~ | 3 (25%) | 1 (2.6%) | ~ |
| PGG 2 | ~ | ~ | ~ | ~ | ~ | 8 (67%) | 33 (85%) | 20 (44%) |
| PGG 3 | ~ | ~ | ~ | ~ | ~ | ~ | 2 (5.1%) | 17 (38%) |
| PGG 4 | ~ | ~ | ~ | ~ | ~ | 1 (8.3%) | 2 (5.1%) | 3 (6.7%) |
| PGG 5 | ~ | ~ | ~ | ~ | ~ | ~ | 1 (2.6%) | 5 (11%) |
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| ~ | 1.00 | 1.50 | ~ | ~ | 7.5 | 8.0 | 10.0 |
Statistics presented: median (IQR); n (% of column).
Figure 1Men within the INNOVATE cohort were separated into those who did (B) and did not (A) undergo prostate biopsy after mpMRI. Within these two groups men are subdivided into 8 groups shown as bars on the Y-Axis. Groups are defined by the highest scoring lesion on mpMRI (Likert score 2, 3, 4 or 5) and if their PSA Density (PSAD) was below or above a threshold of 0.15 ng/mL/mL or 0.12 for men under 50 years old. The bar size reflects the number of men in each group, numbers are shown as text overlaying each bar. Men who did not undergo biopsy as colored Grey. When patients underwent prostate biopsy, the bars are further subdivided into 3 groups depending on the resulting overall pathology of their biopsy (Blue = No cancer of any grade, Green = clinically non-significant cancer, Yellow = clinically significant prostate cancer.). The final graph on the far right (C) represents the same men as detailed in (B) however in this graph they are grouped by the highest scoring lesion on mpMRI re-scored as PI-RADSv2. (score 2, 3, 4 or 5).
For the men who underwent biopsy the mpMRI lesion that scored highest was re-scored with PI-RADS retrospectively. Proportion of patients with equivalent or a different PI-RADS score stratified by Likert score and having a PSAD above or below a threshold of 0.15 (or 0.12 for men aged <50). PI-RADS was not used to select patients for biopsy.
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| 37 | 8 | 84 | 11 | 5 | 0 | 0 | 0 |
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| Equivalent | 2 | 0 | 7 | 6 | 14 | 8 | 0 | 0 |
| PIRADS < Likert | 0 | 0 | 27 | 11 | 1 | 0 | 1 | 0 |
| PIRADS > Likert | 0 | 0 | 6 | 1 | 1 | 0 | 0 | 0 |
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| Equivalent | 0 | 0 | 6 | 1 | 1 | 1 | 0 | 0 |
| PIRADS < Likert | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 |
| PIRADS > Likert | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
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| Equivalent | 0 | 0 | 3 | 5 | 16 | 11 | 9 | 27 |
| PIRADS < Likert | 0 | 0 | 1 | 1 | 1 | 1 | 3 | 6 |
| PIRADS > Likert | 0 | 0 | 1 | 1 | 2 | 8 | 0 | 0 |
Statistics presented: n. * PSAD threshold of 0.15 ng/mL/mL (or 0.12 if patient is younger than 50 yrs).
Figure 2Utility of PSA and PSAD thresholds in patients scored as Likert 4. A range of thresholds of PSA (A) or PSAD (B) were used to predict the presence of clinically significant prostate cancer on biopsy (Negative = no csigPCa, Positive = yes csigPCa). Each bar represents how accurate each threshold would be if used as a clinical test to predict for csigPCa on biopsy: e.g., for the highest PSAD threshold 0.18 (top bar graph B): if a patients PSAD was <0.18 they would be ‘negative’ on the test and they would have around a 1 in 2 chance of cancer (as True Negative and False Negative are 31% and 31%), if their PSAD was >0.18 they would be ‘positive’ on the test and they would have around a 3 in 4 chance of cancer (as False Positive and True Positive are 9% and 29% respectively). In this context we potentially selecting men for biopsy so would need a very low false negative, e.g., if we use the lowest PSAD threshold of 0.09 we get a 5% false negative rate and the highest true positive rate (55%) but 86% of all men tested would get a positive test result (False Positive plus True Positive) limiting the utility of the test. This data is for Likert 4 men only.