Citations

Purpose Noninvasive stiffness imaging techniques (elastography) can image myocardial tissue biomechanics in vivo. For cardiac MR elastography (MRE) techniques, the optimal vibration frequency for in vivo experiments is unknown. Furthermore, the accuracy of cardiac MRE has never been evaluated in a geometrically accurate phantom. Therefore, the purpose of this study was to determine the necessary driving frequency to obtain accurate three‐dimensional (3D) cardiac MRE stiffness estimates in a geometrically accurate diastolic cardiac phantom and to determine the optimal vibration frequency that can be introduced in healthy volunteers. Methods The 3D cardiac MRE was performed on eight healthy volunteers using 80 Hz, 100 Hz, 140 Hz, 180 Hz, and 220 Hz vibration frequencies. These frequencies were tested in a geometrically accurate diastolic heart phantom and compared with dynamic mechanical analysis (DMA). Results The 3D Cardiac MRE was shown to be feasible in volunteers at frequencies as high as 180 Hz. MRE and DMA agreed within 5% at frequencies greater than 180 Hz in the cardiac phantom. However, octahedral shear strain signal to noise ratios and myocardial coverage was shown to be highest at a frequency of 140 Hz across all subjects. Conclusion This study motivates future evaluation of high‐frequency 3D MRE in patient populations. Magn Reson Med 77:351–360, 2017. © 2016 Wiley Periodicals, Inc.

BACKGROUNDProstate cancer (PCa) is a leading cause of cancer death of men worldwide. In hormone‐sensitive prostate cancer (HSPC), androgen deprivation therapy (ADT) is widely used, but an eventual failure on ADT heralds the passage to the castration‐resistant prostate cancer (CRPC) stage. Because predicting time to failure on ADT would allow improved planning of personal treatment strategy, we aimed to develop a predictive personalization algorithm for ADT efficacy in HSPC patients.METHODSA mathematical mechanistic model for HSPC progression and treatment was developed based on the underlying disease dynamics (represented by prostate‐specific antigen; PSA) as affected by ADT. Following fine‐tuning by a dataset of ADT‐treated HSPC patients, the model was embedded in an algorithm, which predicts the patient's time to biochemical failure (BF) based on clinical metrics obtained before or early in‐treatment.RESULTSThe mechanistic model, including a tumor growth law with a dynamic power and an elaborate ADT‐resistance mechanism, successfully retrieved individual time‐courses of PSA (R2 = 0.783). Using the personal Gleason score (GS) and PSA at diagnosis, as well as PSA dynamics from 6 months after ADT onset, and given the full ADT regimen, the personalization algorithm accurately predicted the individual time to BF of ADT in 90% of patients in the retrospective cohort (R2 = 0.98).CONCLUSIONSThe algorithm we have developed, predicting biochemical failure based on routine clinical tests, could be especially useful for patients destined for short‐lived ADT responses and quick progression to CRPC. Prospective studies must validate the utility of the algorithm for clinical decision‐making. Prostate 76:48–57, 2016. © 2015 Wiley Periodicals, Inc.

Abstract Background: Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. Methods: We performed a genome-wide survival analysis of cause-specific death in 24,023 prostate cancer patients (3,513 disease-specific deaths) from the PRACTICAL and BPC3 consortia. Top findings were assessed for replication in a Norwegian cohort (CONOR). Results: We observed no significant association between genetic variants and prostate cancer survival. Conclusions: Common genetic variants with large impact on prostate cancer survival were not observed in this study. Impact: Future studies should be designed for identification of rare variants with large effect sizes or common variants with small effect sizes. Cancer Epidemiol Biomarkers Prev; 24(11); 1796–800. ©2015 AACR.

Background Physical activity data are collected automatically by implantable cardioverter‐defibrillators ( ICD s). Though these data potentially provide a quantifiable and easily accessible measure of functional status, its relationship with survival has not been well studied. Methods and Results Patients enrolled in the Boston Scientific LATITUDE remote monitoring system from 2008 to 2012 with ICD s were eligible. Remote monitoring data were used to calculate mean daily activity at baseline (30 to 60 days after implantation), and longitudinally. Cox regression was used to examine the association between survival and increments of 30 minutes/day in both (1) mean baseline activity and (2) time‐varying activity, with both adjusted for demographic and device characteristics. A total of 98 437 patients were followed for a median of 2.2 years (mean age of 67.7±13.1 years; 71.7% male). Mean baseline daily activity was 107.5±66.2 minutes/day. The proportion of patients surviving after 4 years was significantly higher among those in the most versus least active quintile of mean baseline activity (90.5% vs. 50.0%; log‐rank P value, <0.001). Lower mean baseline activity (i.e., incremental difference of 30‐minutes/day) was independently associated with a higher risk of death (adjusted hazard ratio [ AHR ], 1.44; 95% confidence interval [ CI ], 1.427 to 1.462). Time‐varying activity was similarly associated with a higher risk of death ( AHR , 1.48; 95% CI , 1.451 to 1.508), indicating that a patient having 30 minutes per day less activity in a given month has a 48% increased hazard for death when compared to a similar patient in the same month. Conclusions Patient activity measured by ICD s strongly correlates with survival following ICD implantation.

Abstract Introduction: QSOX1 is a flavin-dependent sulfhydryl oxidase and the only known human enzyme with both disulfide generating and transferring activities. Using tissue microarrays, we previously demonstrated that QSOX1 is over-expressed in multiple tumor types including breast, pancreas, prostate and myeloma. Loss of QSOX1 leads to a significant decrease in tumor cell proliferation and invasion. The over-expression of QSOX1 in tumor cells compared to non-malignant cells combined with its role in tumor cell proliferation and invasion make it an attractive target for potential anti-neoplastic agents. Methods: Using a high throughput screening assay to detect sulfhydryl oxidase activity, we screened a library of compounds for inhibition of the QSOX1 enzyme. We used ROS-GloTM, a luciferase-based assay that detects H2O2, to determine if any compounds in the library inhibited QSOX1-mediated disulfide bond formation using reduced RNAse A as a substrate. QSOX1 generates H2O2 as a by-product of disulfide bond formation. To determine if compounds that showed activity in the enzymatic assay were also active against tumor cells, we treated pancreatic, breast, and myeloma cells with the compounds in a dose-dependent fashion, using non-malignant cells as controls. We assayed growth/viability by MTT and CellTiter-Glo assays. Invasive activity of tumor cells was assessed using matrigel-coated inserts in a modified Boyden chamber assay. Results: High throughput library screening identified 4 compounds that specifically inhibited QSOX1 activity (designated A-D) compared to a glucose oxidase counter-screen. Growth/viability assays showed that compound D suppressed the growth of tumor cells with IC50s between 300nM-750nM, depending on tumor cell line. In non-malignant cells the IC50s for compound D were more than 10-fold higher than in tumor cells. Compounds A and D also inhibited invasion of breast and pancreatic tumor cells through Matrigel. Conclusion: This is the first report of chemical compounds that inhibit QSOX1 enzymatic activity. The discovery of QSOX1 inhibitors with cellular efficacy establishes the chemical tractability of the target. Our data demonstrate that these First-In-Class compounds have potential as anti-neoplastic therapeutics via inhibition of QSOX1. Citation Format: Paul D. Hanavan, Douglas O. Faigel, Chen-Ting Ma, Eduard Sergienko, Nathalie Meurice, Joachim L. Petit, Yvette W. Ruiz, Benjamin A. Katchman, Douglas F. Lake. Small molecule inhibitors of QSOX1 suppress tumor cell growth and invasion. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1790. doi:10.1158/1538-7445.AM2014-1790

Dynamic loading on articular joints is essential for the evaluation of the risk of the articulation degeneration associated with occupational activities. In the current study, we analyzed the dynamic constraint loading for the thumb during pipetting. The constraint loading is considered as the loading that has to be carried by the connective tissues of the joints (i.e., the cartilage layer and the ligaments) to maintain the kinematic constraints of the system. The joint loadings are solved using a classic free-body approach, using the external loading and muscle forces, which were obtained in an inverse dynamic approach combined with an optimization procedure in anybody. The constraint forces in the thumb joint obtained in the current study are compared with those obtained in the pinch and grasp tests in a previous study (Cooney and Chao, 1977, “Biomechanical Analysis of Static Forces in the Thumb During Hand Function,” J. Bone Joint Surg. Am., 59(1), pp. 27–36). The maximal compression force during pipetting is approximately 83% and 60% greater than those obtained in the tip pinch and key pinch, respectively, while substantially smaller than that obtained during grasping. The maximal lateral shear force is approximately six times, 32 times, and 90% greater than those obtained in the tip pinch, key pinch, and grasp, respectively. The maximal dorsal shear force during pipetting is approximately 3.2 and 1.4 times greater than those obtained in the tip pinch and key pinch, respectively, while substantially smaller than that obtained during grasping. Our analysis indicated that the thumb joints are subjected to repetitive, intensive loading during pipetting, compared to other daily activities.