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Men with advanced prostate cancer (APC) experience high levels of pain, which contribute to poor psychosocial and functional outcomes. Cancer-related distress explains the relationship between pain severity and interference, yet specificity of distress characteristics (e.g., hyperarousal, intrusive, or avoidant symptoms) in explaining associations between pain experiences and well-being has not been explored within APC. This study examined men with APC entering a clinical trial and tested associations of baseline pain, cancer-related distress, and physical and functional well-being.One hundred ninety men with APC enrolled in a randomized-controlled trial and were assessed prior to randomization. The McGill Pain Questionnaire assessed pain severity, and the Functional Assessment of Cancer Therapy-General captures physical and functional well-being. The Impact of Events Scale-Revised measured cancer-specific distress symptoms, including hyperarousal, avoidance, and intrusion symptoms. Controlling for age, cancer stage at diagnosis, income, education, and race/ethnicity, mediation models (SPSS PROCESS, model 4) tested whether cancer-specific distress accounted for the associations between pain severity and physical and functional well-being.Men were on average 68 years of age, White non-Hispanic, with stage IV cancer. Pain severity was related to poorer physical (p .001) and functional well-being (p .001). Associations between pain severity and physical and functional well-being were partially mediated by greater intrusive and hyperarousal symptoms but not avoidant symptoms.For men with APC, intrusive and hyperarousal symptoms may partially explain the relationship between pain severity and decrements in physical and functional well-being. APC pain management should attend to such distress symptoms, which may contribute to interference if left unaddressed.ClinicalTrials.gov Identifier: NCT03149185.

Despite life-saving potential, many women struggle to adhere to adjuvant endocrine therapy (AET) for their breast cancer (BCa). Prior research has demonstrated that emotional distress is a barrier to AET adherence. We followed women from a trial to test the long-term effects of two 5-week post-surgical group-based stress management interventions, cognitive behavioral therapy (CBT), and relaxation training versus an attention-matched health education control, on AET adherence. We conducted a long-term follow-up (median = 8 years) of women randomized to CBT, relaxation training, or health education after surgery for stage 0–3 BCa. We measured adherence with the Endocrine Therapy Medication Usage Questionnaire (ETMUQ). First, we established factors on the ETMUQ via confirmatory factor analysis. We then used Bayesian structural equation modeling to regress these factors on study arm, controlling for age and treatments received. Of those who completed long-term follow-up (n = 59, 44.7%), over half (n = 33; 55.9%) reported problems with adherence generally. Women receiving relaxation training (n = 15) had better adherence than those receiving health education (n = 24) on the Forgetfulness/Inconsistency [B(SE) = 0.25(0.14), p = 0.049] and Intentional Nonadherence [B(SE) = 0.31(0.14), p = 0.018] factors of the ETMUQ. Similar results were observed for those receiving relaxation training compared to CBT (n = 20): Forgetfulness/Inconsistency [B(SE) = − 0.47(0.25), p = 0.031]; Intentional Nonadherence [B(SE) = − 0.31(0.15), p = 0.027]. Women receiving relaxation training were less likely to (1) forget to take their AET and (2) intentionally miss doses of AET in the long term compared to women receiving health education or CBT. This is evidence for the need of randomized trials that aim to improve adherence by incorporating theoretically based behavioral change techniques. Trial 2R01-CA-064710 was registered March 26, 2006.

The proteins encoded by the classical HLA class I and class II genes in the major histocompatibility complex (MHC) are highly polymorphic and play an essential role in self/non-self immune recognition. HLA variation is a crucial determinant of transplant rejection and susceptibility to a large number of infectious and autoimmune disease1. Yet identification of causal variants is problematic due to linkage disequilibrium (LD) that extends across multiple HLA and non-HLA genes in the MHC2,3. We therefore set out to characterize the LD patterns between the highly polymorphic HLA genes and background variation by typing the classical HLA genes and >7,500 common single nucleotide polymorphisms (SNPs) and deletion/insertion polymorphisms (DIPs) across four population samples. The analysis provides informative tag SNPs that capture some of the variation in the MHC region and that could be used in initial disease association studies, and provides new insight into the evolutionary dynamics and ancestral origins of the HLA loci and their haplotypes.