Citations

Abstract Motion of the visual field can alter postural sway and cause illusions of self-motion. The relative perceptual sensitivity of self-motion versus visual field motion induced by virtual reality (VR) stimulation and whether observable sway differs based on perceptual task is unknown. Methods to quantify sway perception while concurrently measuring sway do not exist. We measured head sway and motion perception (self or world) in healthy adults who stood with feet together wearing a VR headset while experiencing adaptive staircases of virtual sinusoidal pitch rotation about the ankle axis. In separate conditions of randomly ordered blocks, subjects were asked to indicate (yes/no) if the room moved (regardless of perceived postural sway) or if their postural sway increased (regardless of perceived room motion). Head sway area was measured by tracking movement of the VR headset. Yes/No responses were fit with psychometric curves to determine points of subjective equality (PSEs) for room motion and postural sway. PSEs were compared between conditions. Effects of motion perception (binary responses) on head sway area before, during, and after visual stimulation were examined. The mean PSE for room motion (0.42 degrees) was significantly lower than for postural sway (2.02 degrees) [t(1,18) = 4.4714, p = 0.00029]. Head sway area was significantly larger during (z = 11.53, p < 0.001) and after (z = 5.09, p < 0.001) visual stimulation only when participants perceived increased postural sway. Nearly 5-fold greater amplitudes of oscillating VR visual stimuli were required to induce perceptions of altered self-versus visual field motion. Observed head sway during visual motion was only linked to perceptual responses when participants focused internally on self-motion, not externally on room motion.

EndMT has been reported to contribute to the pathogenesis of PAH. In this study, we aimed to determine the role of Ca 2+ signaling in the development of EndMT in human lung vascular endothelial cells. Our data suggest that TGF-β 1 requires store-operated Ca 2+ entry through STIM1/Orai channels to induce SNAI-mediated EndMT. For the first time, we demonstrated that TGF-β 1 -induced EndMT is a Ca 2+ -dependent event, whereas inhibition of STIM1/Orai interaction attenuated EndMT in response to TGF-β 1 .

ABSTRACT Renal epithelial cell senescence and kidney aging have become the focus of scientific investigation. However, how epigenetic regulation in these processes remains elusive. Enhancer of zeste homolog 2 (EZH2), a histone methyltransferase, regulates trimethylation of histone H3 at lysine 27 (H3K27me3) and plays an important role in renal pathophysiology. In this study, we show that the expression of EZH2 is decreased in naturally aged and irradiation (IR)‐induced mouse kidneys, as well as in IR‐induced human renal cortical tubular epithelial (RCTE) cells through proteasome‐mediated degradation. Inhibition of EZH2 with its specific inhibitor 3‐DZNeP promotes tubular cell senescence and kidney aging characterized by an increase in the expression of senescence markers, including p16 and p21, in mouse kidneys and in IR‐induced RCTE cells. We show that EZH2 represses the transcription of p16 through trimethylation of H3K27me3, which directly binds to the promoter of p16. EZH2 represses the transcription of p21 through directly binding to the promoter of p21, and this process is involved in its interaction with p53 and its phosphorylation by ataxia‐telangiectasia mutated (ATM), a critical protein involved in the cellular response to DNA damage. Inhibition of ATM with its inhibitor decreased the phosphorylation of EZH2 and the binding of EZH2 to the promoter of p21 in IR‐treated RCTE cells in a p53‐dependent manner. This study suggests that EZH2 plays a critical role in preventing kidney aging and DNA‐damage‐induced renal tubular cellular senescence, in which senescence and kidney aging also result in the destabilization of EZH2, forming a negative feedback loop.

Objectives: Identifying patients’ advantageous radiotherapy modalities prior to CT simulation is challenging. This study aimed to develop a workflow using deep learning (DL)-predicted synthetic CT (sCT) for treatment modality comparison based solely on a diagnostic CT (dCT). Methods: A DL network, U-Net, was trained utilizing 46 thoracic cases from a public database to generate sCT images predicting planning CT (pCT) scans based on the latest dCT, and tested on 15 institutional patients. The sCT accuracy was evaluated against the corresponding pCT and a commercial algorithm deformed CT (MdCT) based on Mean Absolute Error (MAE) and Universal Quality Index (UQI). To determine advantageous treatment modality, clinical dose-volume histogram (DVH) metrics and Normal Tissue Complication Probability (NTCP) differences between proton and photon treatment plans were analyzed on the sCTs via concordance correlation coefficient (CCC). Results: The AI-generated sCTs closely resembled those of the commercial deformation algorithm in the tested cases. The differences in MAE and UQI values between the sCT-vs-pCT and MdCT-vs-pCT were 19.38 HU and 0.06, respectively. The mean absolute NTCP deviation between sCT and pCT was 1.54%, 0.21%, and 2.36% for esophagus perforation, lung pneumonitis, and heart pericarditis, respectively. The CCC between sCT and pCT was 0.90 for DVH metrics and 0.97 for NTCP, indicating moderate agreement for DVH metrics and substantial agreement. Conclusions: Radiation oncologists can potentially utilize this personalized sCT based approach as a clinical support tool to rapidly compare the treatment modality benefit during patient consultation and facilitate in-depth discussion on potential toxicities at a patient-specific level.

Abstract Immune checkpoint inhibitors (ICIs) block immunoregulatory receptor-ligand interactions and robustly increase survival of cancer patients but frequently result in immune-related adverse events (irAEs). While rheumatologic toxicities are commonly reported as irAEs, the effect of immune checkpoint blockade on the underlying mechanisms of ICI-induced fractures and bone loss is controversial, with reports of both positive and negative effects on bone mass in preclinical models. However, no previous reports have investigated the impact of ICIs on females or aged mice, or on fracture risk in either sex. We report that global deletion of programmed cell death protein 1 (PD-1) broadly results in bone loss in skeletally mature male and female PD-1−/− mice, with a sexually divergent phenotype in adolescent mice, decreased bone strength in adult males and young females, and expansion of multiple T cell subsets in the bone marrow. In a model of pharmacologic PD-1 blockade, administration of α-PD-1 reduced bone mass, expanded multiple T cell subsets in the bone marrow, and increased osteoclast activity and resorptive capacity. T cell deficient mice were resistant to osteoclast-mediated bone loss following α-PD-1 therapy, suggesting that T cells in the bone marrow are necessary for bone loss in the setting of ICI therapy. These findings may be leveraged to identify patients at greater fracture risk following ICI therapy due to enrichment of effector T cell populations in the bone marrow.

PURPOSE To reduce costs in genomic studies of time-to-event phenotypes like survival, researchers often sequence a subset of samples from a larger cohort. This process usually involves two phases: first, collecting inexpensive variables from all samples, and second, selecting a subset for expensive measurements, for example, sequencing-based biomarkers. Common two-phase designs include nested case-control and case-cohort designs. Additional designs include sampling subjects based on follow-up time, like extreme case-control designs. Recently an optimal two-phase design using a maximum likelihood-based method was proposed, which could accommodate arbitrary sample selection in the second phase. However, direct comparisons of this optimal design with others in terms of power and computational cost is lacking. METHODS This study performs a direct evaluation of typical two-phase designs, including Tao's optimal design, on type I error, power, effect size estimation, and computational time, using both simulated and real data sets. RESULTS Results show that the optimal design had the highest power and accurate effect size estimation under the Cox regression model. Surprisingly, logistic regression achieved similar power with much lower computational cost than a more sophisticated method. The study further applied these methods to the MP2PRT study, reporting hazard ratios of cancer subtypes on relapse risk. CONCLUSION Recommendations for selecting two-phase designs and analysis methods are regarding power, bias of estimated effect size, and computational time.

ABSTRACTBackgroundThis study investigates the association between thromboembolic events (TE) and castration‐resistant prostate cancer (CRPC) patients receiving oral androgen receptor pathway inhibitors (ARPi) compared to those undergoing chemotherapy, both with and without a pre‐existing history of cardiovascular disease (CVD).MethodsA total of 2779 men diagnosed with CRPC were identified using the Surveillance, Epidemiology, and End Results (SEER) Medicare Linked Database from 2012 to 2016. Patients were stratified based on their CVD history. Within each CVD stratum (pre‐existing CVD vs. no pre‐existing CVD), patients were further categorized into two treatment groups: those receiving oral ARPi and those undergoing chemotherapy. Unadjusted and inverse probability treatment weight (IPTW)‐adjusted proportional hazards models, using Fine and Gray's method, were applied to evaluate the potential association between ARPi treatment and TE.ResultsPatients with pre‐existing CVD treated with ARPi exhibited a significantly lower crude hazard ratio (HR) for TE compared to chemotherapy (HR 0.39, 95% CI 0.27–0.58, p < 0.001). However, after adjustment using IPTW, this association was no longer significant (adjusted hazard ratio [AHR] 1.00, 95% CI 0.75–1.32, p = 0.99). For patients without CVD, ARPi use was also associated with a reduced risk of TE in the crude analysis (HR 0.53, 95% CI 0.32–0.87, p = 0.01), but this effect was not statistically significant after IPTW adjustment (HR 0.99, 95% CI 0.69–1.41, p = 0.94).ConclusionARPi demonstrated no significant effect on TE risk compared to chemotherapy, regardless of pre‐existing CVD status. Similarly, when excluding patients with a prior history of TE, ARPi use remained non‐significantly associated with new TE in the IPTW‐adjusted competing risk analysis, highlighting the need for further investigation.

PURPOSE The combination of the Bruton tyrosine kinase inhibitor ibrutinib with bendamustine-rituximab for first-line treatment of mantle cell lymphoma (MCL) prolonged progression-free survival (PFS), but without improvement in overall survival (OS), likely because of toxicity. Acalabrutinib was shown to be efficacious and less toxic than ibrutinib in a head-to-head trial in chronic lymphocytic leukemia and therefore might lead to better outcomes in MCL. METHODS Patients 65 years and older with previously untreated MCL received acalabrutinib (100 mg twice daily) or placebo (until disease progression or unacceptable toxicity), plus six cycles of bendamustine (90 mg/m 2 once daily; days 1 and 2) and rituximab (375 mg/m 2 as a single dose; day 1) followed by rituximab maintenance in responding patients for 2 years. Crossover to acalabrutinib at disease progression was permitted. The primary end point was PFS per the independent review committee; overall response rate and OS were secondary end points. RESULTS In total, 598 patients were randomly assigned, with 299 in each arm. At a median follow-up of 49.8 months using the reverse Kaplan-Meier method, the median PFS was 66.4 months in the acalabrutinib arm and 49.6 months in the placebo arm (hazard ratio [HR], 0.73 [95% CI, 0.57 to 0.94]; P = .0160). Benefit was seen across all subgroups, including those with high-risk features. Overall response/complete response rates were 91.0%/66.6% and 88.0%/53.5% in the acalabrutinib and placebo arms, respectively. OS was not significantly different (HR, 0.86 [95% CI, 0.65 to 1.13]; P = .27). Grade 3 or greater adverse events were reported in 88.9% and 88.2% in the acalabrutinib and placebo arms, respectively. CONCLUSION The combination of acalabrutinib with bendamustine-rituximab significantly improved PFS. Clinical benefit of acalabrutinib with bendamustine-rituximab was achieved with manageable toxicity.