Hostname: page-component-745bb68f8f-b6zl4 Total loading time: 0 Render date: 2025-02-11T11:03:55.195Z Has data issue: false hasContentIssue false

Depression, survival, and epidermal growth factor receptor genotypes in patients with metastatic non-small cell lung cancer

Published online by Cambridge University Press:  11 February 2013

William F. Pirl*
Affiliation:
Center for Psychiatric Oncology and Behavioral Sciences, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
Lara Traeger
Affiliation:
Center for Psychiatric Oncology and Behavioral Sciences, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
Joseph A. Greer
Affiliation:
Center for Psychiatric Oncology and Behavioral Sciences, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
Vicki Jackson
Affiliation:
Palliative Care Service, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
Inga T. Lennes
Affiliation:
Center for Thoracic Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
Emily Gallagher
Affiliation:
Center for Thoracic Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
Lecia Sequist
Affiliation:
Center for Thoracic Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
Jennifer S. Temel
Affiliation:
Center for Thoracic Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
*
Address correspondence and reprint requests to: William Pirl, MGH, Yawkey 10B, 55 Fruit Street, Boston, MA 02114. E-mail: wpirl@partners.org
Rights & Permissions [Opens in a new window]

Abstract

Objective:

Although depression appears to be associated with worse survival from cancer, the underlying mechanisms of this association are unknown. Tumor epidermal growth factor receptor (EGFR) genotype is a known predictor of survival in metastatic non-small cell lung cancer (NSCLC) and appears to be associated with depression. We hypothesized that tumor EGFR genotype may account for a relationship between depression and survival in this population. We investigated this possible relationship in a cohort of patients with metastatic NSCLC, in which we had previously demonstrated an association between depression and worse survival.

Method:

A cohort of 151 patients with newly diagnosed metastatic NSCLC were enrolled and followed in a randomized controlled trial of early palliative care. At enrollment, 150 had depression assessed with the Patient Health Questionnaire-9 (PHQ-9), and categorical scoring for major depressive syndrome (MDS) was used for analyses. Patients with tumor tissue available underwent EGFR genotyping. Associations with survival were tested using Cox proportional hazards models, adjusting for potential confounders.

Results:

Twenty-one patients (14.0%) met criteria for MDS. Forty-four patients (29.3%) had EGFR genotyping, and 17 (38.6%) of these harbored EGFR mutations. Patients with EGFR mutations had significantly lower PHQ-9 scores (p = 0.03), and none met criteria for depression. EGFR mutations were significantly associated with superior survival (p = 0.02). When both depression and EGFR genotype were simultaneously entered into the model, only EGFR mutations remained significantly associated with survival (p = 0.02), and the effect of depression was attenuated.

Significance of results:

Depression is associated with worse survival in metastatic NSCLC, and this relationship may be at least partially explained by tumor EGFR genotype. Further study into whether depression could be associated with specific biologic properties of cancer that vary by genotype is warranted.

Type
Review Articles
Copyright
Copyright © Cambridge University Press 2013 

INTRODUCTION

The relationship between mood and cancer has fascinated scientists since the time of the ancient Greeks. Over the last several decades, investigators have attempted to identify an association between depression and cancer survival, but these efforts have yielded mixed results. Although meta-analyses suggest that there may be an association between depression and survival (Satin et al., Reference Satin, Linden and Phillips2009; Pinquart & Duberstein, Reference Pinquart and Duberstein2010), the variability in individual study findings may be the result of different relationships according to cancer type and stage (Onitilo et al., Reference Onitilo, Nietert and Egede2006) and the lack of prior investigation into molecular determinants of prognosis such as tumor genotype.

We have consistently found that depression at the time of diagnosis predicts worse survival in patients with metastatic non-small cell lung cancer (NSCLC) (Pirl et al., Reference Pirl, Temel and Billings2008, Reference Pirl, Traeger and Greer2012). Our previous results suggest a median survival benefit of 3–5 months for patients who are not depressed, which is larger than the magnitude of benefit from chemotherapy treatment in this population. Depression, therefore, represents an important target for novel intervention strategies for affected patients with metastatic NSCLC. However, our previous work has demonstrated that improvement in depressive symptoms might not be associated with improved survival in this population (Pirl et al., Reference Pirl, Traeger and Greer2012). Additionally, we have found that depression at the time of the first oncology visit prior to a patient's knowledge of their genotype results may be associated with tumor epidermal growth factor receptor (EGFR) genotype (Pirl et al., Reference Pirl, Traeger and Greer2011). Patients whose tumors harbored EGFR mutations, which confer a better prognosis, were significantly less likely to have depression than patients with EGFR wild-type tumors.

Tumor genotyping in patients with newly diagnosed metastatic NSCLC has now become the standard of care, and initial treatment decisions are based on the results of EGFR mutation status (Azzoli et al., Reference Azzoli, Baker and Temin2009; Mok et al., Reference Mok, Wu and Thongprasert2009). Patients with EFGR mutated lung cancer have a vigorous response to EGFR inhibitors and have an approximate doubling in median survival with metastatic disease compared with those with wild-type tumors (Sequist et al., Reference Sequist, Joshi and Jänne2007b). Patients with tumors that harbor an EGFR mutation also appear to have better prognoses regardless of treatment (Eberhard et al., Reference Eberhard, Johnson and Amler2005; Fukuoka et al., Reference Fukuoka, Wu and Thongprasert2011).

We hypothesized that tumor EGFR genotype may account for the relationship between depression and survival in this population. We investigated this possible relationship in a cohort of patients with metastatic NSCLC, in which we had previously demonstrated as association between depression and worse survival.

METHOD

Sample

We used a different cohort of patients with newly diagnosed metastatic NSCLC than the one in which we previously demonstrated an association between depression and tumor EGFR genotypes (Pirl et al., Reference Pirl, Traeger and Greer2011). Between June 7, 2006 and July 15, 2009, 151 ambulatory patients within 8 weeks of diagnosis of metastatic NSCLC participated in a randomized controlled trial comparing early palliative care (EPC) integrated with standard oncology care with standard oncology care alone at the Massachusetts General Hospital (MGH). Full details of the trial are published elsewhere (Temel et al., Reference Temel, Greer and Muzikansky2010). Patients who presented to the outpatient thoracic oncology clinic were eligible to enroll if they had confirmed metastatic NSCLC, an Eastern Cooperative Oncology Group (ECOG) performance status (PS) of 0–2, and the ability to read and respond to questions in English. Patients who were already receiving care from the palliative care service were not eligible to participate in the study. All medical oncologists in the clinic agreed to approach, recruit, and obtain consent from their patients. Enrolled patients were randomly assigned in a 1:1 fashion without stratification, 77 to EPC integrated with standard care and 74 to standard care alone. Before enrollment began, our Institutional Review Board approved the study protocol, and all participants provided written informed consent.

Depression

We assessed depression at enrollment with the Patient Health Questionnaire-9 (PHQ-9) (Spitzer et al., Reference Spitzer, Kroenke and Williams1999). The PHQ-9 is a nine item self-report instrument developed to screen for major depressive disorder in primary care settings using Diagnostic and Statistical Manual of Mental Disorders, 4th ed. (DSM-IV) criteria. It can be scored continuously for a measure of symptom severity and categorically for presumed diagnoses of major depression syndrome (MDS). Individuals receive a diagnosis of MDS according to DSM-IV criteria if they endorse at least one of the first two items as occurring at least half the days and at least four of the other seven items as occurring at least half the days in the past 2 weeks. The PHQ-9 has been validated in samples of patients with cancer and used in clinical trials with this population (Ell et al., Reference Ell, Xie and Quon2008; Fann et al., Reference Fann, Berry and Wolpin2009).

Tumor Genotyping

All new patients diagnosed with metastatic NSCLC currently undergo tumor genotype testing as part of the routine initial assessment at the MGH thoracic oncology clinic. However, over the enrollment period of this prospective study, the proportion of our patient population with metastatic NSCLC who underwent testing steadily grew from ~ 10% in 2006 to ~ 50% in 2009.

Tumor biopsy specimens are required for genotyping. During the study interval, both direct sequencing of EGFR and multiplexed driver oncogene analysis with the SNaPshot platform were utilized (Dias-Santagata et al., Reference Dias-Santagata, Akhavanfard and David2010; Sequist et al., Reference Sequist, Heist and Shaw2011). Our clinical pathology department conducts genotype testing in a Clinical Laboratory Improvement Amendments (CLIA)-certified manner; results are typically available 3–4 weeks after requisition, and documented in the electronic health record. EGFR genotype status for patients with metastatic NSCLC was coded as EGFR mutation, EGFR wild-type, or unknown EGFR genotype (not tested).

Statistical Methods

We performed statistical analyses using SPSS, version 17.0. We had previously reported an association between depression and survival in this sample (Pirl et al., Reference Pirl, Traeger and Greer2012) and a series of models were tested to evaluate whether EGFR genotype could account for an association between depression and survival. First, we sought to demonstrate an association between depression and EGFR genotype using χ2 for differences in prevalence of MDS. We also used independent samples t tests to examine differences in depression symptom severity between those with known EGFR mutations and those with wild-type and unknown genotypes. Next, we tested Cox proportional hazards models to investigate associations of EGFR genotype with survival, adjusting for the following variables that can be associated with survival in this population (Paralkar et al., Reference Paralkar, Li and Langer2008; Stinchcombe & Socinski, Reference Stinchcombe and Socinski2009): ECOG performance status, age, sex, race, smoking, and marital status. Finally, we examined the extent to which EGFR genotype might account for this association by entering EGFR genotype into Cox proportional hazards models of depression predicting survival, adjusting for all covariates. An attenuation in the relationship between depression and survival (as observed by ≥10% reduction in the hazard ratio and/or conversion to a non-significant p-value for depression), would suggest that the association between depression and survival is confounded by EGFR genotype, and supports the hypothesis that EGFR genotype accounts for at least part of the relationship between depression and survival. We considered all p-values at the two-sided α level of 0.05 to be statistically significant.

RESULTS

Table 1 includes a summary of the study sample characteristics. Of the 151 participants, 150 completed the PHQ-9 at enrollment. Twenty-one patients (14.0%) met diagnostic criteria for MDS. Patients who met criteria for MDS did not differ significantly from those who were not depressed with respect to age, sex, ECOG performance status, smoking history, race, and marital status. Forty-four patients (29.3%) had genotyping performed, 17 (38.6%) of whom tested positive for EGFR mutations.

Table 1. Sample characteristics

MDS, major depressive syndrome; ECOG, Eastern Cooperative Oncology Group; EGFR, epidermal growth factor receptor.

Depression and NSCLC EGFR Genotype

Whereas patients with wild-type EGFR tumors and unknown EGFR genotypes had similar rates of MDS, 4/27 (15%) and 17/105 (16%) respectively, no patients with EGFR mutated tumors (0/17) met criteria for MDS. However, the difference in prevalence among genotype groups did not reach statistical significance (p = 0.22). Patients harboring EGFR mutations had lower levels of depression than did those with wild type and unknown genotypes (4.12 [SD = 2.50] and 6.94 [SD = 5.26] respectively, p = 0.03). More specifically among patients with known EGFR genotype, those with EGFR mutations had significantly lower depression severity scores on the PHQ-9 than did those with EGFR wild-type tumors (4.12 [SD = 2.50] and 6.44 [SD = 5.10] respectively, p = 0.05).

NSCLC EGFR Genotype and Survival

As expected, EGFR genotype was associated with survival. In unadjusted models, median survival was 16.8 months for patients with EGFR mutations, approximately twice the median survival of the other patients (8.2 months, log rank p = 0.01). Adjusting for age, sex, performance status, smoking history, race, and marital status, patients with EGFR mutations had superior survival (HR 0.44, 95% CI 0.23–0.88, p = 0.02).

Impact of EGFR Genotype on Relationship between Depression and Survival

The previously reported hazard ratio for depression and survival in this sample was HR 1.82 (95% CI 1.10–3.01, p = 0.02), adjusting for age, sex, performance status, smoking history, race, and marital status (Pirl et al., Reference Pirl, Traeger and Greer2012). When we entered tumor EGFR genotype into the model of MDS predicting survival, EGFR mutation remained significantly associated with survival (HR = 0.49, 95% CI 0.27–0.97, p = 0.002), but the relationship of MDS with survival was no longer significant (HR 1.61, 95% CI 0.97–2.68, p = 0.07). Additionally, the hazard ratio for MDS had a reduction of 11.0%, meeting our criteria for confounding and supporting the hypothesis that EGFR genotype at least partially explains the relationship between depression and survival.

DISCUSSION

Patients with metastatic NSCLC that harbors EGFR mutations have longer survival and appear to have less depression. These data raise the possibility that NSCLC genotype might explain a portion of the observed relationship between mood and survival in these patients. However, our data are not able to clarify the direction of the association between tumor genotype and depression, as we did not employ diagnostic psychiatric interviews to assess for past history of depression. It is possible that depression could contribute to the development of EGFR wild-type lung cancer and/or the converse. Although epidemiological studies have not clearly shown whether depression increases the risk for lung cancer (Knekt et al., Reference Knekt, Raitasalo and Heliovaara1996; Gross et al., Reference Gross, Gallo and Eaton2010), it is possible that depression might only factor into the likelihood of developing EGFR wild-type tumors. However, in clinical trials, agents that block activation of EGFR have been observed to improve mood and sleep, whereas platinum-based chemotherapies do not have this effect (Bezjak et al., Reference Bezjak, Tu and Seymour2006; Iurisci et al., Reference Iurisci, Rich and Levi2007; Su et al., Reference Su, Zhou, Zhou and Xu2010).

The finding that tumor genotype might partially account for the relationship between mood and cancer survival is consistent with our observation that improvement in depression among patients with metastatic NSCLC may not lead to improved survival (Pirl et al., Reference Pirl, Traeger and Greer2012). Although depression is treatable, this might suggest that the biology of lung cancer may ultimately be a stronger determinant of overall survival that is less modifiable once tumorogenesis has occurred. Nonetheless, we believe this study opens up a new area for further investigation that could have important clinical ramifications. Identifying the mechanism by which depression could be associated with tumor genotype has the potential to lead to novel concepts of targeted treatment for depression in this population.

The biologic mechanism underlying an association between EGFR genotype and depression could involve serum mediators that are general or specific. Levels of pro-inflammatory cytokines such as interleukin (IL)-6 have been associated with depression in patients with cancer (Musselman et al., Reference Musselman, Miller and Porter2001; Jehn et al., Reference Jehn, Kuehnhardt and Bartholomae2006; Lutgendorf et al., Reference Lutgendorf, Weinrib and Penedo2008; Miller et al., Reference Miller, Ancoli-Israel and Bower2008), and there could be differences, which vary by EGFR genotype, in the degree to which NSCLC evokes an inflammatory response in the body. The severity of cancer-related symptoms in patients with NSCLC during cancer treatment has been associated with inflammatory cytokines (Wang et al., Reference Wang, Shi and Williams2010), but their relationship to EGFR genotypes has yet to be studied.

Another hypothesis for a mechanism that is more specific to NSCLC involves differences in the production of transforming growth factor (TGF)-α by tumors with different EGFR genotypes. TGF-α is a ligand of EGFR that is produced by several types of cancers (breast, prostate, colorectal, and lung) (Normanno et al., Reference Normanno, DeLuca and Bianco2006). TGF-α can stimulate EGFR and lead to the development, growth, and proliferation of tumors (Borrell-Pages et al., Reference Borrell-Pages, Rojo and Albanell2003; Normanno et al., Reference Normanno, DeLuca and Bianco2006). TGF-α can also bind to EGFR in the suprachiasmatic nucleus (SCN) of the hypothalamus, which is the master pacemaker, to disrupt circadian rhythms (Kramer et al., Reference Kramer, Yang and Snodgrass2001; Vadigepalli et al., Reference Vadigepalli, Hao and Miller2006; Rich Reference Rich2007). In animal models, the administration of exogenous TGF-α results in circadian rhythm disturbances and what could be described as depressive behaviors (decreased activity and decreased eating) (Snodgrass–Belt et al., Reference Snodgrass-Belt, Gilbert and Davis2005; Gilbert & Davis, Reference Gilbert and Davis2009). In patients with colorectal cancer, serum levels of TGF-α have been associated with decreased sleep–wake rhythm amplitude (Rich et al., Reference Rich, Innominato and Boerner2005). Interestingly, EGFR mutant NSCLC is associated with lower serum levels of TGF-α and has undetectable in vitro extracellular levels of TGF-α (Tracy et al. Reference Tracy, Mukohara and Hansen2004; Fukuyama et al., Reference Fukuyama, Ichiki and Yamada2007; Volante et al., Reference Volante, Saviozzi and Rapa2007; Masago et al., Reference Masago, Fujita and Hatachi2008; Yonesaka et al., Reference Yonesaka, Zejnullahu and Lindeman2008).

Clinically, understanding the biology of an association between depression and EGFR wild-type NSCLC could contribute significantly to efforts to prevent and treat lung cancer. If depression is identified as a risk factor for developing EGFR wild-type NSCLC, depression screening should be incorporated into the lung cancer screening programs for smokers and high-risk individuals, which are being developed nationally in response to the results of the National Lung Screening Trial (National Lung Screening Trial Research Team, Reference Aberle and Adams2011). Similar to smoking cessation efforts, treating depression in this population could potentially reduce their risk of developing EGFR wild-type NSCLC. Additionally, depression might help further differentiate EGFR wild-type tumors into categories with different responses to anticancer treatments based on biologic factors that are clinically manifesting as depression. Because many patients with NSCLC have tumors without known mutations directing them toward targeted treatments, the presence of depression could assist in the personalization of cancer treatments among these individuals.

Conclusions drawn from these analyses have several limitations. First and foremost, the findings are from a post-hoc unplanned analysis of a clinical trial. Depression was not the primary outcome of the clinical trial and was assessed with a self-report instrument, the PHQ-9, instead of using diagnostic interviews. Additionally, we did not have full EGFR genotype data on all tumors. Over the course of the clinical trial, EGFR genotyping emerged as an integral component of clinical oncology practice, but was initially offered to only a minority of patients with NSCLC thought most likely to harbor the mutation. However, among the 44 patients who underwent genotyping in our study, the rate of EGFR mutations was 11%, consistent with the population estimates in North America (Sequist et al., Reference Sequist, Bell and Lynch2007a).

Another limitation to the study is that the association between EGFR genotype and depression was not as strong as that in our prior study in a different sample of patients with metastatic NSCLC. This could be because of the difference in timing of the assessment of depression between the two studies. In our original report, depression was assessed at the first oncology visit, before the results of genotyping were known (Pirl et al., Reference Pirl, Traeger and Greer2011). In the current analysis, trial participants could be within 8 weeks of their metastatic NSCLC diagnosis, and some may have had knowledge of their EGFR genotype status at the time of the depression assessment. The current sample also includes patients who were prescribed antidepressants, which we excluded from the prior analysis to avoid any potential preventative effects an antidepressant may have had on developing depression at the time of diagnosis. Nonetheless, we would expect that these differences would further obscure the findings; however, we still observed a significant association between NSCLC EGFR genotype and level of depressive symptoms.

Overall, our research suggests that tumor genotype should be considered in studies of depression and survival. If associations really do exist, elucidating the underlying mechanism of an association between depression and NSCLC EGFR genotype could lead to the development of more informed trials of interventions, not just for depression, but for cancer as well. In addition to determining the direction of an association between depression and EGFR wild-type NSCLC, potential serum mediators of the relationship, such as TGF-α and pro-inflammatory cytokines, need to be explored. Psychosocial and quality of life research that includes data on cancer genotypes has the potential to identify novel pathways from cancer biology to cancer-related symptoms, which may ultimately have the power to bring cancer symptom management into the era of personalized medicine.

References

REFERENCES

Azzoli, C.G., Baker, S. Jr., Temin, S., et al. (2009). American Society of Clinical Oncology clinical practice guideline update on chemotherapy for stage IV non-small-cell lung cancer. Journal of Clinical Oncology, 27, 62516266.CrossRefGoogle Scholar
Bezjak, A., Tu, D., Seymour, L., et al. (2006). Symptom improvement in lung cancer patients treated with erlotinib: Quality of life analysis of the National Cancer Institute of Canada Clinical Trials Group Study BR.21. Journal of Clinical Oncology, 24, 38313837.CrossRefGoogle ScholarPubMed
Borrell-Pages, M., Rojo, F., Albanell, J., et al. (2003). TACE is required for the activation of the EGFR by TGF-alpha in tumors. EMBO Journal, 22, 11141124.CrossRefGoogle ScholarPubMed
Dias-Santagata, D., Akhavanfard, S., David, S.S., et al. (2010). Rapid targeted mutational analysis of human tumours: A clinical platform to guide personalized cancer medicine. EMBO Molecular Medicine, 2, 146158.CrossRefGoogle ScholarPubMed
Eberhard, D.A., Johnson, B.E., Amler, L.C., et al. (2005). Mutations in the epidermal growth factor receptor and in KRAS are predictive and prognostic indicators in patients with non-small-cell lung cancer treated with chemotherapy alone and in combination with erlotinib. Journal of Clinical Oncology, 23, 59005909.CrossRefGoogle ScholarPubMed
Ell, K., Xie, B., Quon, B., et al. (2008). Randomized controlled trial of collaborative care management of depression among low-income patients with cancer. Journal of Clinical Oncology, 26, 44884496.Google Scholar
Fann, J.R., Berry, D.L., Wolpin, S., et al. (2009). Depression screening using the Patient Health Questionnaire-9 administered on a touch screen computer. Psycooncology, 18, 1422.CrossRefGoogle ScholarPubMed
Fukuoka, M., Wu, Y.L., Thongprasert, S., et al. (2011). Biomarker analyses and final overall survival results from a phase III, randomized, open-label, first-line study of gefitinib versus carboplatin/paclitaxel in clinically selected patients with advanced non-small-cell lung cancer in Asia (IPASS). Journal of Clinical Oncology, 29, 28662874Google Scholar
Fukuyama, T., Ichiki, Y., Yamada, S., et al. (2007). Cytokine production of lung cancer cell lines: correlation between their production and the inflammatory/immunological responses both in vivo and in vitro. Cancer Science, 98, 10481054.CrossRefGoogle ScholarPubMed
Gilbert, J. & Davis, F.C. (2009). Behavioral effects of systemic transforming growth factor-alpha in Syrian hamsters. Behavioural Brain Research, 198, 440448.Google Scholar
Gross, A.L., Gallo, J.J. & Eaton, W.W. (2010). Depression and cancer risk: 24 years of follow-up of the Baltimore Epidemiologic Catchment Area sample. Cancer Causes & Control, 21, 191199.CrossRefGoogle ScholarPubMed
Iurisci, I., Rich, T., Levi, F., et al. (2007). Relief of symptoms after gefitinib is associated with improvement of rest/activity rhythm in advanced lung cancer. Journal of Clinical Oncology, 25, e1719.CrossRefGoogle ScholarPubMed
Jehn, C.F., Kuehnhardt, D., Bartholomae, A., et al. (2006). Biomarkers of depression in cancer patients. Cancer, 107, 27232729.CrossRefGoogle ScholarPubMed
Knekt, P., Raitasalo, R., Heliovaara, M., et al. (1996). Elevated lung cancer risk among persons with depressed mood. American Journal of Epidemiology, 144, 10961103.Google Scholar
Kramer, A., Yang, F.C., Snodgrass, P., et al. (2001). Regulation of daily locomotor activity and sleep by hypothalamic EGF receptor signaling. Science, 294, 25112515.Google Scholar
Lutgendorf, S.K., Weinrib, A.Z., Penedo, F., et al. (2008). Interleukin-6, cortisol, and depressive symptoms in ovarian cancer patients. Journal of Clinical Oncology, 26, 48204827.CrossRefGoogle ScholarPubMed
Masago, K., Fujita, S., Hatachi, Y., et al. (2008). Clinical significance of pretreatment serum amphiregulin and transforming growth factor-alpha, and an epidermal growth factor somatic mutation in patients with advanced non-small cell lung cancer. Cancer Science, 99, 22952301.Google Scholar
Miller, A.H., Ancoli-Israel, S., Bower, J.E., et al. (2008). Neuroendocrine-immune mechanisms of behavioral comorbidities in patients with cancer. Journal of Clinical Oncology, 26, 971982.Google Scholar
Mok, T.S., Wu, Y.L., Thongprasert, S., et al. (2009). Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma. New England Journal of Medicine, 361, 947957.Google Scholar
Musselman, D.L., Miller, A.H., Porter, M.R., et al. (2001). Higher than normal plasma interleukin-6 concentrations in cancer patients with depression: preliminary findings. American Journal of Psychiatry, 158, 12521257.CrossRefGoogle ScholarPubMed
National Lung Screening Trial Research Team, Aberle, D.R., Adams, A.M., et al. (2011). Reduced lung-cancer mortality with low-dose computed tomographic scanning. New England Journal of Medicine, 365, 395409.Google Scholar
Normanno, N., DeLuca, A., Bianco, C., et al. (2006). Epidermal growth factor receptor (EGFR) signaling in cancer. Gene, 366, 216.Google Scholar
Onitilo, A.A., Nietert, P.J. & Egede, L.E. (2006). Effect of depression on all-cause mortality in adults with cancer and differential effects by cancer site. General Hospital Psychiatry, 28, 396402.Google Scholar
Paralkar, V.R., Li, T. & Langer, C.J. (2008). Population characteristics and prognostic factors in metastatic non-small-cell lung cancer: A Fox Chase Cancer Center retrospective. Clinical Lung Cancer, 9, 116121.Google Scholar
Pinquart, M. & Duberstein, P.R. (2010). Depression and cancer mortality: a meta-analysis. Psychological Medicine, 40, 17971810.Google Scholar
Pirl, W.F., Temel, J.S., Billings, J.A., et al. (2008). Depression after diagnosis of non-small cell lung cancer and survival: A pilot study. Psychosomatics, 49, 218224.CrossRefGoogle ScholarPubMed
Pirl, W.F., Traeger, L., Greer, J.A., et al. (2011). Tumor epidermal growth factor receptor genotype and depression in stage IV non-small cell lung cancer. Oncologist, 16, 12991306.CrossRefGoogle ScholarPubMed
Pirl, W.F., Traeger, L., Greer, J.A., et al. (2012). Depression and survival in metastatic NSCLC: impact of early palliative care. Journal of Clinical Oncology, 30, 13101315.Google Scholar
Rich, T.A. (2007). Symptom clusters in cancer patients and their relation to EGFR ligand modulation of the circadian axis. Journal of Supportive Oncology, 5, 167174.Google ScholarPubMed
Rich, T.A., Innominato, P.F., Boerner, J., et al. (2005). Elevated serum cytokines correlated with altered behavior, serum cortisol rhythm, and dampened 24-hour rest-activity patterns in patients with metastatic colorectal cancer. Clinical Cancer Research, 11, 17571763.Google Scholar
Satin, J.R., Linden, W. & Phillips, M.J. (2009). Depression as a predictor of disease progression and mortality in cancer patients: a meta-analysis. Cancer, 115, 53495361.CrossRefGoogle ScholarPubMed
Sequist, L.V., Bell, D.W., Lynch, T.J., et al. (2007a). Molecular predictors of response to epidermal growth factor receptor antagonists in non-small-cell lung cancer. Journal of Clinical Oncology, 25, 587595.Google Scholar
Sequist, L.V., Heist, R.S., Shaw, A.T., et al. (2011). Implementing multiplexed genotyping of non-small-cell lung cancers into routine clinical practice. Annals of Oncology, 22, 26162624.CrossRefGoogle ScholarPubMed
Sequist, L.V., Joshi, V.A., Jänne, P.A., et al. (2007b). Response to treatment and survival of patients with non-small cell lung cancer undergoing somatic EGFR mutation testing. Oncologist, 12, 9098.Google Scholar
Snodgrass-Belt, P., Gilbert, J.L. & Davis, F.C. (2005). Central administration of transforming growth factor-alpha and neuregulain-1 suppress active behaviors and cause weight loss in hamsters. Brain Research, 1038, 171182.Google Scholar
Spitzer, R.L., Kroenke, K. & Williams, J.B.W. (1999). Validation and utility of a self-report version of PRIME-MD: The PHQ primary care study. Journal of the American Medical Association, 282, 17371744.CrossRefGoogle ScholarPubMed
Su, C, Zhou, C., Zhou, S. & Xu, J. (2010). Serum cytokine levels in patients with advanced non-small cell lung cancer: Correlation with treatment response and survival. Medical Oncology, 28, 14531457.Google Scholar
Stinchcombe, T.E. & Socinski, M.A. (2009). Current treatments for advanced non-small cell lung cancer. Proceedings of the American Thoracic Society, 6, 233241.Google Scholar
Temel, J.S., Greer, J.A., Muzikansky, A., et al. (2010) Early palliative care for patients with metastatic non-small cell lung cancer. New England Journal of Medicine, 363, 733742.Google Scholar
Tracy, S., Mukohara, T., Hansen, M., et al. (2004). Gefitinib induces apoptosis in the EGFRL858R non-small-cell lung cancer cell line H3255. Cancer Research, 64, 72417244.Google Scholar
Vadigepalli, R., Hao, H., Miller, G.M., et al. (2006). Epidermal growth factor receptor-induced circadian-time-dependent gene regulation in suprachiasmatic nucleus. Neuroreport, 17, 14371441.Google Scholar
Volante, M., Saviozzi, S., Rapa, I., et al. (2007). Epidermal growth factor ligand/receptor loop and downstream signaling activation pattern in completely resected nonsmall cell lung cancer. Cancer, 110, 13211328.Google Scholar
Wang, X.S., Shi, Q., Williams, L.A., et al. (2010). Inflammatory cytokines are associated with the development of symptom burden in patients with NSCLC undergoing concurrent chemoradiation therapy. Brain, Behavior, and Immunity, 24, 968974.CrossRefGoogle ScholarPubMed
Yonesaka, K., Zejnullahu, K., Lindeman, N., et al. (2008). Autocrine production of amphiregulin predicts sensitivity to both gefitinib and cetuximab in EGFR wild-type cancers. Clinical Cancer Research, 14, 69636973.Google Scholar
Figure 0

Table 1. Sample characteristics