Diurnal cortisol rhythm as a predictor of lung cancer survival
Highlight
► Flattening of the diurnal salivary cortisol rhythm predicted early lung cancer death, independent of other prognostic indicators.
Introduction
Among patients with advancing cancer, dysregulation of circadian physiology is often conspicuous and extensive. Disrupted circadian cycles are evident in endocrine, immune, metabolic, and cellular systems (Mazzoccoli et al., 2010, Hrushesky, 1985, Mormont et al., 2000). Dysregulation of circadian hypothalamic–pituitary-adrenal (HPA) rhythms has been linked specifically with advancing cancer and accelerated tumor growth rates (Mormont and Levi, 1997, Touitou et al., 1995, Hrushesky et al., 1998, Sephton and Spiegel, 2003, Eismann et al., 2010).
Human cortisol peaks 30–45 min after first awakening and drops to a nadir during sleep (Clow et al., 2010). From 30% to 70% of patients with advanced cancer display idiosyncratic rhythm abnormalities including unsynchronized peaks and troughs, consistently high or low levels and erratic circadian fluctuations. Viewed in aggregate, the diurnal cortisol profiles of advanced cancer patients often appear “flattened” (Mormont and Lévi, 1997; Sephton et al., 2000). The diurnal cortisol slope captures multiple types of rhythm deviation and is measurable in saliva (Turner-Cobb et al., 2000, Kraemer et al., 2006, Hellhammer et al., 2009). Elevated diurnal cortisol slope predicts early metastatic breast cancer mortality, independent of other prognostic factors (Sephton et al., 2000). Flattened slopes were associated with low natural killer cell counts and cytotoxicity, sleep disruption, and marital dissolution; none of which explained the cortisol-survival relationship (Sephton et al., 2000). Circadian rest/activity rhythms are also irregular in patients with advancing cancer (Mormont and Lévi, 1997), and are measurable by wrist-worn actigraphy (Ancoli-Israel et al., 2003). Poor circadian coordination of rest/activity rhythm predicts early mortality over four years in metastatic colorectal cancer patients (Mormont et al., 2000), a finding recently replicated in large multi-site study (Innominato et al., 2009). Among cancer patients, circadian disruption may be a preexisting cause, a correlate of distress and physiological burden, a direct effect of cancer on the brain, and/or a mediator of psychosocial effects on tumor progression (Sephton and Spiegel 2003; Eismann et al., 2010; Chida et al., 2008). A few clinical prospective studies have provided a fascinating demonstration of prognostic value for circadian rhythms in human cancers. These require replication and testing in other cancer types.
As compared with the comorbidities of other cancers, lung cancer-related distress, depression, fatigue, and sleep disruption are extreme (Parker et al., 2008). All these symptoms have been linked with circadian disruption in lung cancer, suggesting that this disease may convey uniquely high circadian disruption-mediated risk (Hrushesky et al., 2009). Lung cancer patients demonstrate markedly poor integration of circadian neuroendocrine-immune function evidenced by high evening cortisol, suppressed melatonin, and changes in the circadian patterns of distribution of peripheral lymphocytes (Mazzoccoli et al., 2003, Mazzoccoli et al., 2005). Non-small cell lung cancer generally has a better prognosis than small-cell disease; however, five-year survival rates for both are poor (49–75% for early stage, and < 1% for advanced disease).
We examined the prognostic value of the diurnal salivary cortisol rhythm in lung cancer. Secondary analyses explored associations with potential explanatory and/or confounding factors including traditional prognostic indicators, depression, fatigue, and sleep quality. Additional biological factors were chosen based on their relevance in cancer studies of the effects of the stress, sleep, and circadian rhythms (Cole and Sood, 2012, Antoni et al., 2006, Eismann et al., 2010, Mazzoccoli et al., 2003, Mazzoccoli et al., 2005). These included serum cortisol, sympathetic activation measured by overnight urinary catecholamines, lymphocyte counts and lymphocyte subsets.
Section snippets
Subjects and procedure
Eligible patients were at least 18 years old and had been diagnosed with Stage I-IV non-small cell lung cancer or with limited to extensive small cell lung cancer during the last five years. Exclusions were made for history of psychiatric hospitalization, alcohol abuse or dependence within the past two months, use of prednisone or concurrent medical conditions likely to influence short-term (six month) survival. A total of 223 patients were referred or approached for this study, 145 (65%) were
Results
The diurnal cortisol slope predicted subsequent survival over a period of up to 3 years. Early mortality occurred among patients with higher slopes, or relatively “flat” rhythms indicating lack of normal diurnal variation (Cox Proportional Hazards two-tailed p(Wald) = .009; hazard ratio = 68052.8; 95% confidence interval (CI) = 15.481–299154617.4). Cortisol slope also predicted survival time from initial diagnosis (p = .019; hazard ratio = 34867.4; 95% CI = 5.488–221531615.074). Results retained
Discussion
Flattening of the diurnal cortisol rhythm predicted early mortality among lung cancer patients, a replication of our metastatic breast cancer finding (Sephton et al., 2000), and recently noted in patients with metastatic renal cell carcinoma (Cohen et al., 2012). As originally observed in breast cancer patients, early mortality occurred in patients with relatively flat diurnal rhythms. These results are comparable with data from two clinical prospective studies demonstrating similar prognostic
Conclusions
Animal, cell, and molecular data support bidirectional effects: tumors can cause circadian disruption, but circadian disruption can also accelerate tumor growth and mortality (Fu and Lee, 2003). Taken together; the prospective nature of the current data, the independence of the primary finding from influence of any other prognostic indicator, the consistency with prior work in other cancers, and the support of a growing body of evidence from animal and cellular studies allow some confidence in
Conflict of Interest
The authors of this manuscript have nothing to declare.
Acknowledgement
This research was funded by a grant from the Kentucky Lung Cancer Research Board to S.E.S.
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