Morphologic patterns observed in prostate biopsy cases with discrepant grade group and molecular risk classification.

BACKGROUND: Molecular-based risk classifier tests are increasingly being utilized by urologists and radiation oncologists to guide clinical decision making. The Decipher prostate biopsy test is a 22-gene RNA biomarker assay designed to predict likelihood of high-grade disease at radical prostatectomy and risk of metastasis and mortality. The test provides a risk category of low, intermediate, or high. We investigated histologic features of biopsies in which the Grade Group (GG) and Decipher risk category (molecular risk) were discrepant. METHODS: Our institutional urologic outcomes database was searched for men who underwent prostate biopsies with subsequent Decipher testing from 2016 to 2020. We defined discrepant GG and molecular risk as either GG1-2 with high Decipher risk category or GG ≥ 3 with low Decipher risk category. The biopsy slide on which Decipher testing was performed was re-reviewed for GG and various histologic features, including % Gleason pattern 4, types of Gleason pattern 4 and 5, other "high risk" features (e.g., complex papillary, ductal carcinoma, intraductal carcinoma [IDC]), and other unusual and often "difficult to grade" patterns (e.g., atrophic carcinoma, mucin rupture, pseudohyperplastic carcinoma, collagenous fibroplasia, foamy gland carcinoma, carcinoma with basal cell marker expression, carcinoma with prominent vacuoles, and stromal reaction). Follow-up data was also obtained from the electronic medical record. RESULTS: Of 178 men who underwent prostate biopsies and had Decipher testing performed, 41 (23%) had discrepant GG and molecular risk. Slides were available for review for 33/41 (80%). Of these 33 patients, 23 (70%) had GG1-2 (GG1 n = 5, GG2 n = 18) with high Decipher risk, and 10 (30%) had GG ≥ 3 with low Decipher risk. Of the 5 GG1 cases, one case was considered GG2 on re-review; no other high risk features were identified but each case showed at least one of the following "difficult to grade" patterns: 3 atrophic carcinoma, 1 collagenous fibroplasia, 1 carcinoma with mucin rupture, and 1 carcinoma with basal cell marker expression. Of the 18 GG2 high Decipher risk cases, 2 showed GG3 on re-review, 5 showed large cribriform and/or other high risk features, and 10 showed a "difficult to grade" pattern. Of the 10 GG ≥ 3 low Decipher risk cases, 5 had known high risk features including 2 with large cribriform, 1 with IDC, and 1 with Gleason pattern 5. CONCLUSIONS: In GG1-2 high Decipher risk cases, difficult to grade patterns were frequently seen in the absence of other known high risk morphologic features; whether these constitute true high risk cases requires further study. In the GG ≥ 3 low Decipher risk cases, aggressive histologic patterns such as large cribriform and IDC were observed in half (50%) of cases; therefore, the molecular classifier may not capture all high risk histologic patterns.

The impact of genomic biomarkers on a clinical risk prediction model for upgrading/upstaging among men with favorable-risk prostate cancer.

BACKGROUND: The challenge of distinguishing indolent from aggressive prostate cancer (PCa) complicates decision-making for men considering active surveillance (AS). Genomic classifiers (GCs) may improve risk stratification by predicting end points such as upgrading or upstaging (UG/US). The aim of this study was to assess the impact of GCs on UG/US risk prediction in a clinicopathologic model. METHODS: Participants had favorable-risk PCa (cT1-2, prostate-specific antigen [PSA] ≤15 ng/mL, and Gleason grade group 1 [GG1]/low-volume GG2). A prediction model was developed for 864 men at the University of California, San Francisco, with standard clinical variables (cohort 1), and the model was validated for 2267 participants from the Cancer of the Prostate Strategic Urologic Research Endeavor (CaPSURE) registry (cohort 2). Logistic regression was used to compute the area under the receiver operating characteristic curve (AUC) to develop a prediction model for UG/US at prostatectomy. A GC (Oncotype Dx Genomic Prostate Score [GPS] or Prolaris) was then assessed to improve risk prediction. RESULTS: The prediction model included biopsy GG1 versus GG2 (odds ratio [OR], 5.83; 95% confidence interval [CI], 3.73-9.10); PSA (OR, 1.10; 95% CI, 1.01-1.20; per 1 ng/mL), percent positive cores (OR, 1.01; 95% CI, 1.01-1.02; per 1%), prostate volume (OR, 0.98; 95% CI, 0.97-0.99; per mL), and age (OR, 1.05; 95% CI, 1.02-1.07; per year), with AUC 0.70 (cohort 1) and AUC 0.69 (cohort 2). GPS was associated with UG/US (OR, 1.03; 95% CI, 1.01-1.06; p < .01) and AUC 0.72, which indicates a comparable performance to the prediction model. CONCLUSIONS: GCs did not substantially improve a clinical prediction model for UG/US, a short-term and imperfect surrogate for clinically relevant disease outcomes.

Large cribriform glands (> 0.25 mm diameter) as a predictor of adverse pathology in men with Grade Group 2 prostate cancer.

AIMS: A recent outcome-based, radical prostatectomy study defined > 0.25 mm diameter to distinguish large versus small cribriform glands, with > 0.25 mm associated with worse recurrence-free survival. This study evaluates whether identification of > 0.25 mm cribriform glands in Grade Group 2 patients at biopsy is associated with adverse pathology at radical prostatectomy. METHODS AND RESULTS: Tumours containing biopsy slides for 133 patients with Grade Group 2 prostate cancer with subsequent radical prostatectomy were re-reviewed for large cribriform glands (diameter > 0.25 mm). The primary outcome was adverse pathology (Grade Groups 3-5; stage pT3a or greater, or pN1). The secondary outcome was recurrence-free survival. Cribriform pattern was present in 52 of 133 (39%) patients; of these, 16 of 52 (31%) had large cribriform glands and 36 of 52 (69%) had only small cribriform glands. Patients with large cribriform glands had significantly more adverse pathology at radical prostatectomy compared to patients with small cribriform glands and no cribriform glands (large = 11 of 16, 69%; small = 12 of 36, 33%; no cribriform = 25 of 81, 31%; χ2 P-value 0.01). On multivariate analysis, large cribriform glands were also associated with adverse pathology, independent of age, prostate-specific antigen (PSA)/PSA density at diagnosis, year of diagnosis and biopsy cores percentage positive (global P-value 0.02). Large cribriform glands were also associated with increased CAPRA-S surgical risk score (Kruskal-Wallis P-value 0.02). CONCLUSIONS: Large cribriform glands using a diameter > 0.25 mm definition in Grade Group 2 patients on biopsy are associated with increased risk of adverse pathology at radical prostatectomy. The presence of large cribriform histology should be considered when offering active surveillance for those with Grade Group 2 disease.

Renaming Grade Group 1 Prostate "Cancer" From a Pathology Perspective: A Call for Multidisciplinary Discussion.

Despite the innovations made to enhance smarter screening and conservative management for low-grade prostate cancer, overdiagnosis, and overtreatment remains a major health care problem. Driven by the primary goal of reducing harm to the patients, relabeling of nonlethal grade group 1 (GG 1) prostate cancer has been proposed but faced varying degrees of support and objection from clinicians and pathologists. GG 1 tumor exhibits histologic (invasive) and molecular features of cancer but paradoxically, if pure, is unable to metastasize, rarely extends out of the prostate, and if resected, has a cancer-specific survival approaching 100%. Most of the arguments against relabeling GG 1 relate to concerns of missing a higher-grade component through the unsampled area at biopsy. However, the designation of tumor benignity or malignancy should not be based on the shortcomings of a diagnostic procedure and sampling errors. This review explores possible solutions, mainly the feasibility of renaming GG 1 in radical prostatectomy (RP) with ramifications in biopsy diagnosis, acceptable for both pathologists and clinicians. One workable approach is to rename GG 1 in RP with a cautious neutral or nonbenign non-cancer term (eg, acinar neoplasm) using "defined criteria" that will stop the indiscriminate reporting of every GG 1 in biopsy as carcinoma including eventual insignificant microtumors in RPs. Use of a corresponding noncommittal term at biopsy while commenting on the possibility of an undersampled nonindolent cancer, might reduce the pathologist's concerns about upgrading. Dropping the word "carcinoma" in biopsy preempts the negative consequences of labeling the patient with cancer, including unnecessary definitive therapy (the root cause of overtreatment). Renaming should retain the status quo of contemporary grading and risk stratifications for management algorithms while trying to minimize overtreatment. However, the optimal approach to find answers to this issue is through multidisciplinary discussions of key stakeholders with a specific focus on patient-centered concerns and their ramifications in our practices. GG 1 renaming has been brought up in the past and came up again despite the continued counterarguments, and if not addressed more comprehensively will likely continue to reemerge as overdiagnosis, overtreatment, and patient's sufferings persist.

Analysis of separate training and validation radical prostatectomy cohorts identifies 0.25 mm diameter as an optimal definition for "large" cribriform prostatic adenocarcinoma.

Cribriform growth pattern is well-established as an adverse pathologic feature in prostate cancer. The literature suggests "large" cribriform glands associate with aggressive behavior; however, published studies use varying definitions for "large". We aimed to identify an outcome-based quantitative cut-off for "large" vs "small" cribriform glands. We conducted an initial training phase using the tissue microarray based Canary retrospective radical prostatectomy cohort. Of 1287 patients analyzed, cribriform growth was observed in 307 (24%). Using Kaplan-Meier estimates of recurrence-free survival curves (RFS) that were stratified by cribriform gland size, we identified 0.25 mm as the optimal cutoff to identify more aggressive disease. In univariable and multivariable Cox proportional hazard analyses, size >0.25 mm was a significant predictor of worse RFS compared to patients with cribriform glands ≤0.25 mm, independent of pre-operative PSA, grade, stage and margin status (p < 0.001). In addition, two different subset analyses of low-intermediate risk cases (cases with Gleason score ≤ 3 + 4 = 7; and cases with Gleason score = 3 + 4 = 7/4 + 3 = 7) likewise demonstrated patients with largest cribriform diameter >0.25 mm had a significantly lower RFS relative to patients with cribriform glands ≤0.25 mm (each subset p = 0.004). Furthermore, there was no significant difference in outcomes between patients with cribriform glands ≤ 0.25 mm and patients without cribriform glands. The >0.25 mm cut-off was validated as statistically significant in a separate 419 patient, completely embedded whole-section radical prostatectomy cohort by biochemical recurrence, metastasis-free survival, and disease specific death, even when cases with admixed Gleason pattern 5 carcinoma were excluded. In summary, our findings support reporting cribriform gland size and identify 0.25 mm as an optimal outcome-based quantitative measure for defining "large" cribriform glands. Moreover, cribriform glands >0.25 mm are associated with potential for metastatic disease independent of Gleason pattern 5 adenocarcinoma.

An exploration in pitfalls in interpreting SDHB immunohistochemistry.

AIMS: Mutations and epimutations in genes encoding the succinate dehydrogenase complex (SDHx) are associated with multiple tumour types in which identification of SDH-deficiency has significant management implications. Immunohistochemistry (IHC) for the succinate dehydrogenase B (SDHB) subunit can help to detect SDH-deficiency, which manifests as complete loss of staining in tumour cells. However, a subset of SDH-deficient tumours can show aberrant cytoplasmic SDHB-IHC staining patterns and be misinterpreted as 'retained', a diagnostic pitfall complicating interpretation. Herein, we characterise in detail aberrant SDHB-IHC staining patterns in SDH-deficient tumours. METHODS AND RESULTS: We identified 23 tumours from patients with known germline SDHx and/or molecularly confirmed SDHx pathogenic/likely-pathogenic variants in their tumour. Of these, eight (35%) showed significant SDHB-IHC staining: one SDHA-, one SDHB-, three SDHC- and three SDHD-mutated cases. In all eight cases, closer inspection revealed differences in intensity and intracellular distribution of SDHB-IHC staining in tumour cells compared to adjacent non-neoplastic cells: non-neoplastic cells showed intense cytoplasmic coarse granular staining; tumour cells in seven of eight cases showed weak to focally strong, cytoplasmic blush to fine granular staining, in > 80% of cells. The remaining case in the initial block showed variably strong non-granular cytoplasmic staining with globular perinuclear accentuation throughout, only subtly distinct from the staining pattern of non-neoplastic cells. SDHB-IHC performed on two additional blocks in this latter case revealed significant intratumoral heterogeneity, including convincing areas of complete loss. CONCLUSIONS: When evaluating SDHB-IHC, care should be taken to distinguish true retained expression from aberrant cytoplasmic expression, which may be difficult to appreciate. Sometimes this may require additional molecular testing.

Residual Benign Prostate Glandular Tissue after Radical Prostatectomy is Not Associated with the Development of Detectable Postoperative Serum Prostate Specific Antigen.

PURPOSE: To determine if benign glandular tissue at the surgical margin (BGM) is associated with detectable prostate specific antigen (PSA) and/or biochemical recurrence (BCR) after radical prostatectomy (RP). MATERIALS AND METHODS: Participants underwent RP for localized prostate cancer between 2004 and 2018. Regression analysis was used to identify demographic, clinical and surgical factors associated with the likelihood of BGM presence on surgical pathology. Oncologic outcomes included detectable PSA (>0.03 ng/ml), BCR (≥0.2 ng/ml) and progression to BCR or salvage treatment after detectable PSA. Life tables and Cox proportional hazards regression models were used to determine the association of BGM and risk of oncologic outcomes. RESULTS: A total of 1,082 men underwent RP for localized prostate cancer with BGM reported on surgical pathology and an undetectable postoperative PSA. BGM was present on 249 (23%) specimens. Younger age, bilateral nerve sparing surgery and robotic approach were associated with presence of BGM while malignancy at the surgical margin (MSM) was not. At 7 years after RP, 29% experienced detectable PSA and 11% had BCR. In the subgroup of men who reached detectable PSA, 79% had progression within 7 years. On multivariate Cox proportional hazards regression, BGM status was not independently associated with detectable PSA, BCR and/or progression from detectable PSA to BCR or salvage treatment. CONCLUSIONS: The presence of BGM at RP was not associated with increased risk of MSM, detectable PSA, BCR or progression after detectable PSA.

Acute Invasive Rhino-Orbital Mucormycosis in a Patient With COVID-19-Associated Acute Respiratory Distress Syndrome.

Acute invasive fungal rhinosinusitis is a rare, although highly morbid, infection primarily affecting immunosuppressed individuals. The same population is at particularly high risk of complications and mortality in the setting of SARS-CoV-2 infection and coronavirus disease 2019 (COVID-19)-related acute respiratory distress syndrome. The authors present a case of acute invasive fungal rhino-orbital mucormycosis in a patient with COVID-19 and discuss the prevalence, diagnosis, and treatment of fungal coinfections in COVID-19. Prompt recognition, initiation of therapy, and consideration of the challenges of rapidly evolving COVID-19 therapy guidelines are important for improving patient survival.

Prostate biopsy histopathologic features correlate with a commercial gene expression assay's reclassification of patient NCCN risk category.

BACKGROUND: For biopsies with Gleason 3 + 3 = 6 or 3 + 4 = 7 prostate cancer, the Genomic Prostate Score (GPS; OncotypeDx) is designed to predict severe pathology at prostatectomy, and, in some cases, recommends reclassification of the National Comprehensive Cancer Network (NCCN) risk category. We hypothesized that certain histopathologic features that were not considered in the original design of the assay actually would be associated with the NCCN risk category change indicated by GPS testing. METHODS: For patients with recommended NCCN risk category change, the biopsy cores used for GPS were re-reviewed for stromal reaction, chronic inflammation, and tumor nuclear polarization. RESULTS: Of 520 patients from May 2011 to December 2018, GPS testing suggested NCCN risk reclassification in 131 (25%); 127 of these slides were available. Of these, the NCCN risk category increased from intermediate to high in 8, low to intermediate in 15, very low to low in 1, and decreased from intermediate to low in 32, and low to very low in 71. Biopsies with NCCN risk increase were associated with moderate or severe stromal reaction (p < .001) and chronic inflammation (p < .001); biopsies with NCCN risk decrease were associated with absence of these features. In Gleason 3 + 3 = 6 cases (n = 93), presence of nuclear polarization was associated with NCCN risk decrease and its absence with increase (p < .001). CONCLUSIONS: Moderate or severe stromal reaction, chronic inflammation, and lack of nuclear polarization in Gleason score 3 + 3 = 6 tumors were each associated with an increase in NCCN risk category indicated by GPS and vice versa. Our results suggest that GPS captures histologic features associated with aggressiveness that are not routinely assessed in standard histopathologic assessments, and that consideration of such histologic features may improve upon current tumor grading approaches.

Expansile cribriform Gleason pattern 4 has histopathologic and molecular features of aggressiveness and greater risk of biochemical failure compared to glomerulation Gleason pattern 4.

BACKGROUND: Molecular testing of prostate cancer biopsies with Gleason pattern 4 suggests the expansile cribriform pattern is more aggressive than the glomerulation pattern. These two extreme patterns have not been compared at prostatectomy. We hypothesized that at prostatectomy the expansile cribriform pattern would be associated with histopathologic and molecular features of aggressiveness and with greater risk of biochemical recurrence (BCR) than the glomerulation pattern. METHODS: In a retrospective cohort study, radical prostatectomy reports with expansile cribriform pattern or glomerulation pattern were analyzed for percentage of total pattern 4, extraprostatic extension (EPE), positive lymph nodes, seminal vesicle invasion (SVI), and intraductal carcinoma (IDC). Cases with pattern 5 or with both expansile cribriform and glomerulations patterns present were excluded. The electronic medical record was reviewed for BCR-free survival and for Decipher test results. RESULTS: Of 1020 radical prostatectomies from July 2015 to July 2018, 110 (11%) had either expansile cribriform or glomerulation pattern present. The expansile cribriform group was associated with more histopathologic features of aggressiveness, with higher average total percentage pattern 4 (43.7 vs 27.0, P = .002), a trend of greater extensive EPE (32.7% vs 17.2%, P = .06), a trend toward statistical significance of higher rate of SVI (11.5% vs 3.4%, P = .1), greater positive lymph nodes (9.6% vs 0%, P = .02), and a higher percentage of cases with or suspicious for IDC (23.1% vs 8.6%, P = .04). The risk of BCR was 4.4 (1.3-15.4) fold greater for the expansile cribriform group vs the glomerulations group (P = .02). For the 38 patients who underwent Decipher testing, the expansile cribriform group had a high-risk assay category mean score whereas the glomerulations group had an average risk assay category mean score (0.61 vs 0.47, P = .02). CONCLUSIONS: In a comparison of prostatectomy cases with expansile cribriform pattern to those with glomerulation pattern, the expansile cribriform pattern was associated with more histopathologic features of aggressiveness, greater risk of biochemical failure, and higher scores with a molecular classifier (Decipher) test. These findings underscore the importance of reporting the types of pattern 4 and supports the argument that men with expansile cribriform likely require more aggressive management.

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer.

BACKGROUND: Cell-free DNA's (cfDNA) use as a biomarker in cancer is challenging due to genetic heterogeneity of malignancies and rarity of tumor-derived molecules. Here we describe and demonstrate a novel machine-learning guided panel design strategy for improving the detection of tumor variants in cfDNA. Using this approach, we first generated a model to classify and score candidate variants for inclusion on a prostate cancer targeted sequencing panel. We then used this panel to screen tumor variants from prostate cancer patients with localized disease in both in silico and hybrid capture settings. METHODS: Whole Genome Sequence (WGS) data from 550 prostate tumors was analyzed to build a targeted sequencing panel of single point and small (< 200 bp) indel mutations, which was subsequently screened in silico against prostate tumor sequences from 5 patients to assess performance against commonly used alternative panel designs. The panel's ability to detect tumor-derived cfDNA variants was then assessed using prospectively collected cfDNA and tumor foci from a test set 18 prostate cancer patients with localized disease undergoing radical proctectomy. RESULTS: The panel generated from this approach identified as top candidates mutations in known driver genes (e.g. HRAS) and prostate cancer related transcription factor binding sites (e.g. MYC, AR). It outperformed two commonly used designs in detecting somatic mutations found in the cfDNA of 5 prostate cancer patients when analyzed in an in silico setting. Additionally, hybrid capture and 2500X sequencing of cfDNA molecules using the panel resulted in detection of tumor variants in all 18 patients of a test set, where 15 of the 18 patients had detected variants found in multiple foci. CONCLUSION: Machine learning-prioritized targeted sequencing panels may prove useful for broad and sensitive variant detection in the cfDNA of heterogeneous diseases. This strategy has implications for disease detection and monitoring when applied to the cfDNA isolated from prostate cancer patients.

A 17-Gene Genomic Prostate Score as a Predictor of Adverse Pathology in Men on Active Surveillance.

PURPOSE: The GPS (Oncotype Dx® Genomic Prostate Score) test is a RNA expression assay which can be performed on prostate biopsies. We sought to determine whether the GPS was associated with an increased risk of adverse pathology findings in men enrolled on active surveillance who later underwent radical prostatectomy. MATERIALS AND METHODS: We identified all patients on active surveillance at University of California-San Francisco who had Gleason score 3 + 3 or low volume (33% or fewer positive cores) Gleason score 3 + 4 prostate cancer, GPS testing at diagnostic or confirmatory biopsy, clinical stage T1/T2, prostate specific antigen less than 20 and a clinical CAPRA (Cancer of the Prostate Risk Assessment) score less than 6. The primary outcome was adverse pathology, defined as Gleason score 4 + 3 or greater, stage pT3a or greater, or pN1. The secondary outcome was biochemical recurrence, defined as 2 consecutive prostate specific antigen measurements greater than 0.05 ng/ml following radical prostatectomy. RESULTS: Of the 215 men 179 (83%) were at low risk and 36 (17%) were at intermediate risk by CAPRA scoring. The median GPS was 26.4 (IQR 18.8-34.6). On multivariate analysis a higher GPS was associated with an increased risk of adverse pathology at delayed radical prostatectomy (HR/5 units 1.16, 95% CI 1.06-1.26, p <0.01). A higher GPS was also associated with an increased risk of biochemical recurrence (HR/5 units 1.10, 95% CI 1.00-1.21, p=0.04). CONCLUSIONS: In patients who undergo radical prostatectomy after a period on active surveillance, as in those who undergo immediate prostatectomy, a higher GPS is associated with an increased risk of adverse pathology. The GPS is also associated with biochemical recurrence following radical prostatectomy in such patients.

Correlation of a Commercial Genomic Risk Classifier with Histological Patterns in Prostate Cancer.

PURPOSE: RNA expression based molecular testing has the potential to improve clinical decision making as an adjunct to histopathological interpretation of prostate cancer biopsies. The GPS (Oncotype Dx Genomic Prostate Score®) assay has been proposed as a predictor of more severe pathology at prostatectomy but its true clinical value is uncertain. We hypothesized that some of the predictive usefulness of this assay relates to its correlation with histopathological features which are apparent but not typically reported on prostate biopsies. MATERIALS AND METHODS: In this retrospective, single center cohort we determined an RNA based GPS of prostate biopsies. We retrospectively reviewed the histopathological features of biopsy cores with the score and assessed tumor length, Gleason pattern 4 amount and type, and stromal reaction type. Associations between the GPS and histopathological features were assessed by linear mixed models. RESULTS: From May 2013 to August 2015 a GPS was determined in 319 biopsies in a total of 296 patients. Of the types of Gleason pattern 4 the expansile cribriform, simple cribriform, poorly formed and fused patterns were associated with a higher GPS. The expansile cribriform pattern had the strongest association. The glomerulation pattern was associated with a lower GPS and an increasing stromal reaction also positively correlated with the GPS. A model incorporating these pathological features accounted for 36.9% of the variation in the score. CONCLUSIONS: The stromal reaction and the type of Gleason pattern 4 are histopathological features which are not typically reported for prostate biopsies but they correlate with the GPS. These data suggest that more detailed analysis of prostate histopathology might substitute for some of the information gained from this molecular diagnostic assay.

Expression of the DNA repair gene MLH1 correlates with survival in patients who have resected pancreatic cancer and have received adjuvant chemoradiation: NRG Oncology RTOG Study 9704.

BACKGROUND: The majority of patients with pancreatic cancer who undergo curative resection experience rapid disease recurrence. In previous small studies, high expression of the mismatch-repair protein mutL protein homolog 1 (MLH1) in pancreatic cancers was associated with better outcomes. The objective of this study was to validate the association between MLH1 expression and survival in patients who underwent resection of pancreatic cancer and received adjuvant chemoradiation. METHODS: Samples were obtained from the NRG Oncology Radiation Therapy Oncology Group 9704 prospective, randomized trial (clinicaltrials.gov identifier NCT00003216), which compared 2 adjuvant protocols in patients with pancreatic cancer who underwent resection. Tissue microarrays were prepared from formalin-fixed, paraffin-embedded, resected tumor tissues. MLH1 expression was quantified using fluorescence immunohistochemistry and automated quantitative analysis, and expression was dichotomized above and below the median value. RESULTS: Immunohistochemical staining was successfully performed on 117 patients for MLH1 (60 and 57 patients from the 2 arms). The characteristics of the participants who had tissue samples available were similar to those of the trial population as a whole. At the time of analysis, 84% of participants had died, with a median survival of 17 months. Elevated MLH1 expression levels in tumor nuclei were significantly correlated with longer disease-free and overall survival in each arm individually and in both arms combined. Two-year overall survival was 16% in patients who had low MLH1 expression levels and 53% in those who had high MLH1 expression levels (P < .0001 for both arms combined). This association remained true on a multivariate analysis that allowed for lymph node status (hazard ratio, 0.41; 95% confidence interval, 0.27-0.63; P < .0001). CONCLUSIONS: In the current sample, MLH1 expression was correlated with long-term survival. Further studies should assess whether MLH1 expression predicts which patients with localized pancreatic cancer may benefit most from aggressive, multimodality treatment. Cancer 2018;124:491-8. © 2017 American Cancer Society.

Diagnostic Accuracy of 68Ga-PSMA-11 PET/MRI Compared with Multiparametric MRI in the Detection of Prostate Cancer.

Purpose To compare the diagnostic accuracy of gallium 68 (68Ga)-labeled prostate-specific membrane antigen (PSMA)-11 PET/MRI with that of multiparametric MRI in the detection of prostate cancer. Materials and Methods The authors performed a retrospective study of men with biopsy-proven prostate cancer who underwent simultaneous 68Ga-PSMA-11 PET/MRI before radical prostatectomy between December 2015 and June 2017. The reference standard was whole-mount pathologic examination. Readers were blinded to radiologic and pathologic findings. Tumor localization was based on 30 anatomic regions. Region-specific sensitivity and specificity were calculated for PET/MRI and multiparametric MRI by using raw stringent and alternative neighboring approaches. Maximum standardized uptake value (SUVmax) in the tumor and Prostate Imaging Reporting and Data System (PI-RADS) version 2 grade were compared with tumor Gleason score. Generalized estimating equations were used to estimate population-averaged sensitivity and specificity and to determine the association between tumor characteristics and SUVmax or PI-RADS score. Results Thirty-two men (median age, 68 years; interquartile range: 62-71 years) were imaged. The region-specific sensitivities of PET/MRI and multiparametric MRI were 74% (95% confidence interval [CI]: 70%, 77%) and 50% (95% CI: 45%, 0.54%), respectively, with the alternative neighboring approach (P < .001 for both) and 73% (95% CI: 68%, 79%) and 69% (95% CI: 62%, 75%), respectively, with the population-averaged generalized estimating equation (P = .04). Region-specific specificity of PET/MRI was similar to that of multiparametric MRI with the alternative neighboring approach (88% [95% CI: 85%, 91%] vs 90% [95% CI: 87%, 92%], P = .99) and in population-averaged estimates (70% [95% CI: 64%, 76%] vs 70% [95% CI: 64%, 75%], P = .99). SUVmax was associated with a Gleason score of 7 and higher (odds ratio: 1.71 [95% CI: 1.27, 2.31], P < .001). Conclusion The sensitivity of gallium 68-labeled prostate-specific membrane antigen-11 PET/MRI in the detection of prostate cancer is better than that of multiparametric MRI. © RSNA, 2018 See also the editorial by Civelek in this issue.

Polyoma virus-associated carcinomas of the urologic tract: a clinicopathologic and molecular study.

In recent years, there has been increased interest in carcinomas of the urologic tract, that demonstrate association with the polyoma virus BK arising in immunosuppressed individuals, though the nature of this association is uncertain. To begin to understand this phenomenon, we reviewed the clinical, morphological, and immunohistochemical features of 11 carcinomas of the urologic tract, mainly urothelial (N = 9) and collecting duct carcinomas (N = 2), occurring during immunosuppression, and expressing polyoma virus T-antigen by immunohistochemistry. These were compared to a control group of carcinomas (N = 8), also arising during immunosuppression, but without T-antigen expression. A subset of both groups were also studied by hybrid capture-based DNA sequencing, probing not only for 479 cancer-related human genes, but also for polyoma and other viral sequences. Polyoma T-antigen-expressing tumors arose in 7 males and 4 females, at a median age of 66, and were aggressive, high-grade tumors with more than 1 variant morphologic pattern identified in 81% of cases, and a majority (73%) presenting at high stage category (>pT3). Diffuse polyoma T-antigen staining was seen in 91% of cases, with co-localization of aberrant p53 staining in 89%. Sequencing detected a lower number of deleterious mutations among T-antigen-expressing cases (average 1.62; 1/8 with TP53 mutation) compared to control cases (average 3.5, 2/4 with TP53 mutation). Only BK virus was detected with clonal integration and breakpoints randomly distributed across the human and viral genomes in 5/5 of the polyoma T-antigen-expressing carcinomas, and in none of the controls (0/4). In summary, these findings identify aggressive clinicopathologic features of polyoma T-antigen-expressing carcinomas, document BK as the strain involved, and associate BK viral integration with T-antigen expression and p53 aberrancy. While the apparent randomness of viral insertion sites is functionally unclear, the differing rates of mutations between T-antigen-expressing and control cases is intriguing.

Tissue Sources for Accurate Measurement of Germline DNA Genotypes in Prostate Cancer Patients Treated With Radical Prostatectomy.

BACKGROUND: Benign tissue from a tumor-containing organ is commonly the only available source for obtaining a patient's unmutated genome for use in cancer research. While it is critical to identify histologically normal tissue that is independent of the tumor lineage, few additional considerations are applied to the choice of this material for such measurements. METHODS: Normal formalin-fixed, paraffin-embedded seminal vesicle, and urethral tissues, in addition to whole blood, were collected from 31 prostate cancer patients having undergone radical prostatectomy. Genotype concordance was evaluated for DNA from each tissue source in relation to whole blood. RESULTS: Overall, there was a greater genotype call rate for DNA derived from urethral tissue (97.0%) in comparison with patient-matched seminal vesicle tissues (95.9%, P = 0.0015). Furthermore, with reference to patient-matched whole blood, urethral samples exhibited higher genotype concordance (94.1%) than that of seminal vesicle samples (92.5%, P = 0.035). CONCLUSIONS: These findings highlight the heterogeneity between diverse sources of DNA in genotype measurement and motivate the consideration of normal tissue biases in tumor-normal analyses. Prostate 77: 425-434, 2017. © 2016 Wiley Periodicals, Inc.

18F Fluorocholine Dynamic Time-of-Flight PET/MR Imaging in Patients with Newly Diagnosed Intermediate- to High-Risk Prostate Cancer: Initial Clinical-Pathologic Comparisons.

Purpose To investigate the initial clinical value of fluorine 18 (18F) fluorocholine (FCH) dynamic positron emission tomography (PET)/magnetic resonance (MR) imaging by comparing its parameters with clinical-pathologic findings in patients with newly diagnosed intermediate- to high-risk prostate cancer (PCa) who plan to undergo radical prostatectomy. Materials and Methods The institutional review board approved the study protocol, and informed written consent was obtained from all subjects for this HIPAA-compliant study. Twelve men (mean age ± standard deviation, 61.7 years ± 8.4; range, 46-74 years) with untreated intermediate- to high-risk PCa characterized according to Cancer of the Prostate Risk Assessment (CAPRA) underwent preoperative FCH dynamic PET/MR imaging followed by radical prostatectomy between April and November 2015. PET/MR imaging parameters including average and maximum K1 (delivery rate constant) and standardized uptake values (SUVs) and Prostate Imaging Reporting and Data System (PI-RADS) version 2 scores were measured and compared with clinical-pathologic characteristics. For statistical analysis, the Spearman rank correlation and Mann-Whitney U tests were performed. Results Of the PET parameters, maximum SUV of primary tumors showed significant correlations with several clinical-pathologic parameters including serum prostate-specific antigen level (ρ = 0.71, P = .01), pathologic stage (ρ = 0.59, P = .043), and postsurgical CAPRA score (ρ = 0.72, P = .008). The overall PI-RADS score showed significant correlations with pathologic tumor volume (ρ = 0.81, P < .001), percentage of tumor cells with Gleason scores greater than 3 (ρ = 0.59, P = .02), and postsurgical CAPRA score (ρ = 0.58, P = .046). The high-risk postsurgical CAPRA score patient group had a significantly higher maximum SUV than did the intermediate-risk group. Combined PET and MR imaging showed improved sensitivity (88%) for prediction of pathologic extraprostatic extension compared with that with MR imaging (50%) and PET (75%) performed separately. Conclusion Maximum SUVs and PI-RADS scores from FCH PET/MR imaging show good correlation with clinical-pathologic characteristics, such as postsurgical CAPRA score, which are related to prognosis in patients with newly diagnosed intermediate- to high-risk PCa. © RSNA, 2016 Online supplemental material is available for this article.

Characterization and stratification of prostate lesions based on comprehensive multiparametric MRI using detailed whole-mount histopathology as a reference standard.

The purpose of this study was to characterize prostate cancer (PCa) based on multiparametric MR (mpMR) measures derived from MRI, diffusion, spectroscopy, and dynamic contrast-enhanced (DCE) MRI, and to validate mpMRI in detecting PCa and predicting PCa aggressiveness by correlating mpMRI findings with whole-mount histopathology. Seventy-eight men with untreated PCa received 3 T mpMR scans prior to radical prostatectomy. Cancerous regions were outlined, graded, and cancer amount estimated on whole-mount histology. Regions of interest were manually drawn on T2 -weighted images based on histopathology. Logistic regression was used to identify optimal combinations of parameters for the peripheral zone and transition zone to separate: (i) benign from malignant tissues; (ii) Gleason score (GS) ≤3 + 3 disease from ≥GS3 + 4; and (iii) ≤ GS3 + 4 from ≥GS4 + 3 cancers. The performance of the models was assessed using repeated fourfold cross-validation. Additionally, the performance of the logistic regression models created under the assumption that one or more modality has not been acquired was evaluated. Logistic regression models yielded areas under the curve (AUCs) of 1.0 and 0.99 when separating benign from malignant tissues in the peripheral zone and the transition zone, respectively. Within the peripheral zone, combining choline, maximal enhancement slope, apparent diffusion coefficient (ADC), and citrate measures for separating ≤GS3 + 3 from ≥GS3 + 4 PCa yielded AUC = 0.84. Combining creatine, choline, and washout slope yielded AUC = 0.81 for discriminating ≤GS3 + 4 from ≥GS4 + 3 disease. Within the transition zone, combining washout slope, ADC, and creatine yielded AUC = 0.93 for discriminating ≤GS3 + 3 and ≥GS3 + 4 cancers. When separating ≤GS3 + 4 from ≥GS4 + 3 PCa, combining choline and washout slope yielded AUC = 0.92. MpMRI provides excellent separation between benign tissues and PCa, and across PCa tissues of different aggressiveness. The final models prominently feature spectroscopy and DCE-derived metrics, underlining their value within a comprehensive mpMRI examination.