Literature DB >> 29355901

Depressive symptoms predict head and neck cancer survival: Examining plausible behavioral and biological pathways.

Lauren A Zimmaro1, Sandra E Sephton1,2, Chelsea J Siwik1, Kala M Phillips1, Whitney N Rebholz3, Helena C Kraemer4, Janine Giese-Davis5,6,7, Liz Wilson2,3, Jeffrey M Bumpous2,3, Elizabeth D Cash1,2,3.   

Abstract

BACKGROUND: Head and neck cancers are associated with high rates of depression, which may increase the risk for poorer immediate and long-term outcomes. Here it was hypothesized that greater depressive symptoms would predict earlier mortality, and behavioral (treatment interruption) and biological (treatment response) mediators were examined.
METHODS: Patients (n = 134) reported depressive symptomatology at treatment planning. Clinical data were reviewed at the 2-year follow-up.
RESULTS: Greater depressive symptoms were associated with significantly shorter survival (hazard ratio, 0.868; 95% confidence interval [CI], 0.819-0.921; P < .001), higher rates of chemoradiation interruption (odds ratio, 0.865; 95% CI, 0.774-0.966; P = .010), and poorer treatment response (odds ratio, 0.879; 95% CI, 0.803-0.963; P = .005). The poorer treatment response partially explained the depression-survival relation. Other known prognostic indicators did not challenge these results.
CONCLUSIONS: Depressive symptoms at the time of treatment planning predict overall 2-year mortality. Effects are partly influenced by the treatment response. Depression screening and intervention may be beneficial. Future studies should examine parallel biological pathways linking depression to cancer survival, including endocrine disruption and inflammation. Cancer 2018;124:1053-60.
© 2018 American Cancer Society. © 2018 American Cancer Society.

Entities:  

Keywords:  depression; head and neck cancer; residual tumor; survival

Mesh:

Year:  2018        PMID: 29355901      PMCID: PMC5821545          DOI: 10.1002/cncr.31109

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


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