Detection of diagnostic and prognostic methylation-based signatures in liquid biopsy specimens from patients with meningiomas.

Recurrence of meningiomas is unpredictable by current invasive methods based on surgically removed specimens. Identification of patients likely to recur using noninvasive approaches could inform treatment strategy, whether intervention or monitoring. In this study, we analyze the DNA methylation levels in blood (serum and plasma) and tissue samples from 155 meningioma patients, compared to other central nervous system tumor and non-tumor entities. We discover DNA methylation markers unique to meningiomas and use artificial intelligence to create accurate and universal models for identifying and predicting meningioma recurrence, using either blood or tissue samples. Here we show that liquid biopsy is a potential noninvasive and reliable tool for diagnosing and predicting outcomes in meningioma patients. This approach can improve personalized management strategies for these patients.

Convolutional Neural Network Quantification of Gleason Pattern 4 and Association With Biochemical Recurrence in Intermediate-Grade Prostate Tumors.

Differential classification of prostate cancer grade group (GG) 2 and 3 tumors remains challenging, likely because of the subjective quantification of the percentage of Gleason pattern 4 (%GP4). Artificial intelligence assessment of %GP4 may improve its accuracy and reproducibility and provide information for prognosis prediction. To investigate this potential, a convolutional neural network (CNN) model was trained to objectively identify and quantify Gleason pattern (GP) 3 and 4 areas, estimate %GP4, and assess whether CNN-predicted %GP4 is associated with biochemical recurrence (BCR) risk in intermediate-risk GG 2 and 3 tumors. The study was conducted in a radical prostatectomy cohort (1999-2012) of African American men from the Henry Ford Health System (Detroit, Michigan). A CNN model that could discriminate 4 tissue types (stroma, benign glands, GP3 glands, and GP4 glands) was developed using histopathologic images containing GG 1 (n = 45) and 4 (n = 20) tumor foci. The CNN model was applied to GG 2 (n = 153) and 3 (n = 62) tumors for %GP4 estimation, and Cox proportional hazard modeling was used to assess the association of %GP4 and BCR, accounting for other clinicopathologic features including GG. The CNN model achieved an overall accuracy of 86% in distinguishing the 4 tissue types. Furthermore, CNN-predicted %GP4 was significantly higher in GG 3 than in GG 2 tumors (P = 7.2 × 10-11). %GP4 was associated with an increased risk of BCR (adjusted hazard ratio, 1.09 per 10% increase in %GP4; P = .010) in GG 2 and 3 tumors. Within GG 2 tumors specifically, %GP4 was more strongly associated with BCR (adjusted hazard ratio, 1.12; P = .006). Our findings demonstrate the feasibility of CNN-predicted %GP4 estimation, which is associated with BCR risk. This objective approach could be added to the standard pathologic assessment for patients with GG 2 and 3 tumors and act as a surrogate for specialist genitourinary pathologist evaluation when such consultation is not available.

Self-report of domestic violence and forced sex are related to sexual risk behaviors in a sample of juvenile detainees.

BACKGROUND: Justice-involved youth have higher rates of sexually transmitted infections (STIs), and a higher prevalence of the associated sexual risk behaviors. Sexual risk behaviors are also associated with alcohol and drug use. Research suggests that a history of trauma is an important predictor of alcohol and drug use in youth offenders, and therefore is a likely contributor to sexual risk behavior in this population. The objective of this analysis is to determine the association of trauma, specifically, domestic violence and forced sex, to six sexual risk behaviors and a history of chlamydia among detained youth. METHODS: The analysis uses data from a convenience sample of detainees assenting to HIV testing conducted December 2016 - August 2017 using the state-certified Voluntary Counseling Testing and Referral (VCTR) process. RESULTS: Of the 379 youth that received VCTR at the facility, 308 (81.3%) were used in this analysis. Report of domestic violence was significantly associated with sex under the influence of alcohol and was also significantly associated with sex under the influence of marijuana. Forced sex was associated with a sexual partner of unknown HIV status. CONCLUSIONS: Traumatic experiences were related to sexual risk behaviors in this analysis, and substance use was strongly implicated in the association. Trauma is known to be a catalyst to sexual risk behaviors, substance use, and delinquency in adolescence. Results support the findings of other investigators and re-iterate the need for trauma-informed interventions that can improve the life trajectories of detained youth.