Abstract

9507 Background: The aims of the present study were to study the course of depression in patients diagnosed with cancer and the link with biomarkers of inflammation in the serum or tumor microenvironment and survival. Methods: A total of 474 patients diagnosed with advanced cancer were administered the Center for Epidemiological Studies-Depression (CES-D) scale every 2-months and blood samples were drawn to assess biomarkers of inflammation in the serum and tumor microenvironment. The course of depression was estimated using a semi-parametric trajectory analyses and cross-lagged panel analyses were performed to assess the link between depression and biomarkers of inflammation. Cox regression analysis was use to test the link between depression and survival while adjusting for demographic and disease specific factors. Results: A three-class solution was chosen based on Bayesian information criterion and theory. The first class, “not depressed,” with a mean CES-D score of 6.7 at baseline contained 32% of patients and no significant change in depression scores across time. The second class, “mildly depressed” (53% of sample) had a significant increase in the mean CES-D from 14.5 at baseline to 18.0 at 12 months and 20.0 at 16 months [B = .35, z = 3.12, p = .002]. The third class, “severely depressed,” with a mean of 31.5 at baseline (15% of patients) and no significant change win depression over 24 months. Depression predicted serum levels of Tumor Necrosis Factor (TNF)-alpha and Interleukin-1alpha at subsequent time points and was associated with High Mobility Group Box 1 in the tumor microenvironment. Trajectory group assignment significantly predicted survival after demographic and disease specific factors were adjusted (p=0.04). The non-depressed trajectory group had a median survival of 13 months (95%CI=8.9-17.1), the mildly depressed group median survival was 10 months (95% CI 7.1-12.9) and the severely depressed group median survival was 6 months (95% CI=7.6-12.4). Conclusions: These findings may facilitate the targeting of psychosocial and biological interventions to reduce depression symptoms, improve quality of life, and potentially slow disease progression.

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