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BackgroundTypical cancer research studies of health-related quality of life (HRQOL) in the United States do not include country of origin when examining race and ethnic group differences. This population-based, cross-sectional study used an innovative methodology to examine how self-reported racial and ethnic groups, by country of origin, report differential HRQOL experiences after adjusting for clinical and demographic characteristics, including socioeconomic status.MethodsRecruited from 4 cancer registries in California, Louisiana, and New Jersey, cancer survivors completed Patient-Reported Outcomes Measurement Information System measures of fatigue, pain interference, anxiety, depression, sleep disturbance, physical function, ability to participate in social roles, and cognitive function. Latent profile analysis clustered survivors in HRQOL clusters based on including all the Patient-Reported Outcomes Measurement Information System domains.ResultsThe 5366 participants (60% female; 40% male; average age of 59.8 years) included 17% Asian, 18% Black, 21% Hispanic, and 41% White survivors. Survivors were grouped into 4 clusters: high HRQOL (26%), average HRQOL (34%), low HRQOL (29%), and very low HRQOL (11%). Among many differences by race, ethnicity, and country of origin, Caribbean cancer survivors were more likely to be in the very low HRQOL cluster (odds ratio = 2.67, 95% confidence interval = 1.31 to 5.43) compared with non-Hispanic White survivors. Similarly, American Indian and Alaska Native, Cuban, Dominican, and Puerto Rican cancer survivors had relatively high percentages in the very low HRQOL cluster.ConclusionsThis study found statistically significant differences in HRQOL experience by race, ethnicity, and country of origin, even after adjusting for social determinants of health. These findings inform future HRQOL research to include these self-reported factors.

Introduction Pembrolizumab, an immune checkpoint inhibitor (ICI), has become an integral part of front-line treatment of metastatic non-small cell lung cancer (NSCLC). However, pivotal trials had significant underrepresentation of Black patients (pts). Lack of sufficient evidence regarding safety and efficacy of ICIs among minority racial groups poses a challenge in delivery of optimal cancer directed care. Methods We retrospectively reviewed pts with stage IV NSCLC treated with first-line pembrolizumab across three MedStar facilities between January 1, 2014, and May 3, 2019. Progression-free survival (PFS) and overall survival (OS) were primary endpoints and were calculated using the Kaplan-Meier method. Immune-related adverse events (irAEs) were assessed according to Common Terminology Criteria for Adverse Events Version 5.0 (CTCAE v5.0). Results In total, 136 pts were identified, with 74 (54.4%) White, 53 (39%) Black, 2 (1.5%) Asian, and 7 (5.1%) other racial groups. Median age was 70 years in White pts and 65 years in Black pts (p > .01). There was no difference in median PFS (5.7 vs. 5.9 months; p = .651) or OS (11.8 vs. 12.4 months; p = .949) between White and Black pts. In the subset of patients whose tumors had high programmed death-ligand 1 (PD-L1) expression (≥50%), there was still no difference in efficacy by race. Median PFS (8.7 vs. 3.9 months; p = .843) and OS (14.7 vs. 11.3 months; p = .581) in White versus Black pts were not different. Incidence of irAEs in White versus Black pts was 24.3% and 22.6%, respectively (p = .83). Conclusion We found no major differences in either safety or efficacy of first-line pembrolizumab between White and Black pts. Use of first-line pembrolizumab-based treatment in Black pts with stage IV NSCLC is safe and efficacious, based on these real-world data. Implications for Practice Immunotherapy has revolutionized treatment of solid and hematological malignancies. There are certain populations of patients underrepresented in the original trials including minority racial groups, patients with autoimmune diseases, and those with chronic viral illnesses. Our study focuses on Black patients with metastatic lung cancer who received pembrolizumab and concludes similar safety and response to treatment when compared with White patients. Black patients are an important demographic group in clinical practice often facing systemic health care disparities. This study paves a path for future studies in underrepresented populations receiving immunotherapy across various malignancies.

Background We evaluated deficit accumulation and how deficits affected cognition and physical activity among breast cancer survivors and non-cancer controls. Methods Newly diagnosed nonmetastatic survivors (n = 353) and matched non-cancer controls (n = 355) ages 60-98 years without neurological impairments were assessed presystemic therapy (or at enrollment for controls) from August 2010 to December 2016 and followed for 36 months. Scores on a 42-item index were analyzed in growth-mixture models to determine deficit accumulation trajectories separately and combined for survivors and controls. Multilevel models tested associations between trajectory and cognition (FACT-Cog and neuropsychological tests) and physical activity (IPAQ-SF) for survivors and controls. Results Deficit accumulation scores were in the robust range, but survivors had higher scores (95% confidence intervals [CI]) than controls at 36 months (0.18, 95% CI = 0.16 to 0.19, vs 0.16, 95% CI = 0.14 to 0.17; P = .001), and averages included diverse deficit trajectories. Survivors who were robust but became frailer (8.8%) had similar baseline characteristics to those remaining robust (76.2%) but experienced a 9.6-point decline self-reported cognition (decline of 9.6 vs 3.2 points; P = .04) and a 769 MET minutes per week decline in physical activity (P < .001). Survivors who started and remained prefrail (15.0%) had self-reported and objective cognitive problems. At baseline, frail controls (9.5%) differed from robust controls (83.7%) on deficits and self-reported cognition (P < .001). Within combined trajectories, frail survivors had more sleep disturbances than frail controls (48.6% [SD = 17.4%] vs 25.0% [SD = 8.2%]; P = .05). Conclusions Most survivors and controls remained robust, and there were similar proportions on a frail trajectory. However, there were differences in deficit patterns between survivors and controls. Survivor deficit accumulation trajectory was associated with patient-reported outcomes. Additional research is needed to understand how breast cancer and its treatments affect deficit accumulation.

The role of Discoidin Domain Receptors (DDRs) is poorly understood in neurodegeneration. DDRs are upregulated in Alzheimer’s and Parkinson’s disease (PD), and DDRs knockdown reduces neurotoxic protein levels. Here we show that potent and preferential DDR1 inhibitors reduce neurotoxic protein levels in vitro and in vivo. Partial or complete deletion or inhibition of DDR1 in a mouse model challenged with α-synuclein increases autophagy and reduces inflammation and neurotoxic proteins. Significant changes of cerebrospinal fluid microRNAs that control inflammation, neuronal injury, autophagy and vesicular transport genes are observed in PD with and without dementia and Lewy body dementia, but these changes are attenuated or reversed after treatment with the DDR1 inhibitor, nilotinib. Collectively, these data demonstrate that DDR1 regulates autophagy and reduces neurotoxic proteins and inflammation and is a therapeutic target in neurodegeneration.

Several methods for screening gene-environment interaction have recently been proposed that address the issue of using gene-environment independence in a data-adaptive way. In this report, the authors present a comparative simulation study of power and type I error properties of 3 classes of procedures: 1) the standard 1-step case-control method; 2) the case-only method that requires an assumption of gene-environment independence for the underlying population; and 3) a variety of hybrid methods, including empirical-Bayes, 2-step, and model averaging, that aim at gaining power by exploiting the assumption of gene-environment independence and yet can protect against false positives when the independence assumption is violated. These studies suggest that, although the case-only method generally has maximum power, it has the potential to create substantial false positives in large-scale studies even when a small fraction of markers are associated with the exposure under study in the underlying population. All the hybrid methods perform well in protecting against such false positives and yet can retain substantial power advantages over standard case-control tests. The authors conclude that, for future genome-wide scans for gene-environment interactions, major power gain is possible by using alternatives to standard case-control analysis. Whether a case-only type scan or one of the hybrid methods should be used depends on the strength and direction of gene-environment interaction and association, the level of tolerance for false positives, and the nature of replication strategies.