12 research outputs found

    Depressive symptoms and cortisol rhythmicity predict survival in patients with renal cell carcinoma: role of inflammatory signaling.

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    Evidence has supported the association between psychological factors and cancer biology; however, findings are equivocal on the role of psychosocial factors in cancer progression. This study generates a hypothesis of mechanistic variables by examining the clinical effects of psychosocial factors and cortisol dysregulation in patients with metastatic renal cell carcinoma (RCC) and examines associated activation of transcription control pathways.Patients with metastatic RCC (nβ€Š=β€Š217) were prospectively enrolled in this study. Patients completed questionnaires (Centers for Epidemiologic Studies-Depression; SF-36 Health Status Survey; Duke Social Support Index; Coping Operations Preference Enquiry; organized and non-organized religious activity; and intrinsic religiosity), and provided blood and saliva samples. Cortisol levels and whole genome transcriptional profiling were assessed to identify potential alterations in circadian rhythms and genomic pathways.Separate Cox regression models, controlling for disease risk category, revealed that CES-D scores (pβ€Š=β€Š0.05, HRβ€Š=β€Š1.5, 95% CI for HR: 1.00-2.23) and cortisol slope (pβ€Š=β€Š0.002; HRβ€Š=β€Š1.9; 95%CI for HR: 1.27-2.97) were significantly associated with decreased survival. Only cortisol slope and risk category remained significant in the complete model. Functional genomic analyses linked depressive symptoms to increased expression of pro-inflammatory and pro-metastatic genes in circulating leukocytes. 116 transcripts were found to be upregulated by an average of 50% or more in high CES-D patients, and 57 transcripts downregulated by at least 50%. These changes were also found in the tumor in a subset of patients.These findings identify depressive symptoms as a key predictor of survival in renal cell carcinoma patients with potential links to dysregulation of cortisol and inflammatory biology

    Cox semi-parametric regression models for survival from diagnosis with metastatic disease (Nβ€Š=β€Š202).

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    <p>SD β€Š=β€Š standard deviation; CES-D β€Š=β€Š Centers for Epidemiologic Studies-Depression; PCS β€Š=β€Š SF-36 Health Status Survey Physical Component Scores; MCS β€Š=β€Š SF-36 Health Status Survey Mental Health Component Scores. DSSI β€Š=β€Š Duke Social Support 11 items total score; ORA β€Š=β€Š Organized religiousness; NORA β€Š=β€Š Private religious practices; HOGE β€Š=β€Š Intrinsic religious motivation scale.</p

    This figure shows proportional survival curves adjusted for risk category.

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    <p>CES-D scores were categorized as greater or equal to 16 or less than 16 (pβ€Š=β€Š0.05, HRβ€Š=β€Š1.5, 95% CI for HR: 1.0–2.2). Survival function of 1 SD above and below the raw means was estimated for cortisol slope (pβ€Š=β€Š0.002; HRβ€Š=β€Š1.9; 95%CI for HR: 1.3–3.0).</p
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