Original Report

Marriage predicts for survival in patients with stage III non–small-cell lung cancer

Melissa AL Vyfhuis, MD, PhD,a Josephine L Feliciano, MD,b Søren M Bentzen, PhD, DMSc,a Martin J Edelman, MD,c Katherine A Scilla, MD,a Neha Bhooshan, MD, PhD,a Whitney M Burrows, MD,a Elizabeth M Nichols, MD,a Mohan Suntharalingam, MD, MBA,a Steven J Feigenberg, MD,d and Pranshu Mohindra, MDa

aUniversity of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland; bSidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland; cFox Chase Cancer Center, Philadelphia, Pennsylvania; and dAbramson Cancer Center, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania

Background Comprehensive analysis of prognostic significance of marital status in patients with stage III non–small-cell lung cancer (NSCLC) when adjusted for patient-, disease-, and treatment-specific factors, including the interaction with racial, nutritional, and immunologic status, is lacking.

Objective To evaluate whether marital status is an independent predictor of clinical outcomes in patients with stage III NSCLC who are treated uniformly with curative intent.

Methods The Kaplan-Meier method and Cox proportional hazards model were used to estimate the overall survival and freedom from recurrence (FFR) in 355 patients with stage III NSCLC who were treated during 2000-2013.

Results 52% of patients in the cohort were married and were more likely to self-identify as white (P < .0001), reside in zip codes with a higher household median income (P < .0001), have Eastern Cooperative Oncology Group Performance Status of 0 (P = .001), have higher pretreatment albumin (P = .009), undergo surgery (P = .001), and have insurance (P = .029). On multivariate analysis, marital status remained an independent predictor of survival and was associated with a 40% decreased risk of death (P < .0001), further stratifying outcomes beyond gender and stage grouping. FFR was comparable between the 2 groups (P = .108).

Limitations Retrospective analysis; information on individual support system beyond the marital and insurance status and zip code income was not available.

Conclusions In a cancer such as NSCLC, in which modern therapeutic approaches have yielded only modest survival improvements despite considerable treatment-related toxicity, marital status remains an independent predictor for survival. Marriage is likely a surrogate for better psychosocial support; the scale of survival improvements seen justifies investments into supportive care interventional strategies to help advance overall outcomes.

Funding/sponsorship None

Accepted for publication September 6, 2018
Correspondence
Melissa AL Vyfhuis, MD, PhD; mvyfhuis@umm.edu OR
Josephine L Feliciano, MD; jfelici4@jhmi.edu
Disclosures: The authors report no disclosures/conflicts of interest.
Citation JCSO 2018;16(5):e194-e201

©2018 Frontline Medical Communications
doi https://doi.org/10.12788/jcso.0427


 

References

Non–small-cell lung cancer (NSCLC) remains the leading cause of cancer death in the United States, where 29% of patients will present with stage III disease.1,2 Ongoing research efforts seek to improve these outcomes using novel systemic therapy options or modern radiation techniques. However, there have also been recent studies showing the importance of marital and/or partner status on clinical outcomes.3-7 For example, in a large Surveillance, Epidemiology, and End Results (SEER) analysis of 734,889 patients diagnosed with several types of cancer (including lung cancer), patients identified as married were less likely to present with metastatic disease, more likely to receive definitive therapy, and had superior cancer-related mortality even after adjusting for other variables such as cancer stage and treatment when compared with single patients.3 Population-based assessments are important in relaying information about trends and general outcomes based on marital status, but because they are large, they often lack patient-specific information such as nutrition, immunologic status, and variability in treatment paradigms, all of which can independently have an impact on overall survival (OS) in stage III NSCLC.8-10 In addition, population analyses have typically included patients of all cancer stages and hence involved a multitude of treatment approaches ranging from curative to palliative. There are limited well-annotated institutional data on the association of marital status on nonmetastatic, locally advanced (LA-NSCLC) in the setting of National Comprehensive Cancer Network-guided, standard-of-care definitive treatment.

The objective of this analysis is to evaluate the effect of marital status on OS and freedom from recurrence (FFR) in patients with stage III NSCLC who were treated at a National Cancer Institute–designated cancer center with curative intent from 2000 through 2013. We performed a detailed multivariate analysis (MVA) of patient-, disease-, and treatment-specific factors, including the interaction with racial, nutritional, and immunologic status, which to our knowledge has not been previously reported, to comprehensively evaluate the benefit of marital status in patients with LA-NSCLC.

Methods

Patient population and treatment

From January 2000 through December 2013, 355 patients diagnosed with clinical stage III NSCLC (American Joint Committee on Cancer 7th edition) were definitively treated at the University of Maryland in Baltimore, Maryland. Their clinical data were retrospectively analyzed under internal review board approval (GCC 1175, Thoracic Oncology Database). All of the patients were evaluated before treatment by a multidisciplinary team consisting of thoracic surgeons and medical and radiation oncologists. Before treatment, the patients underwent standard work-up, which included systemic imaging with positron-emission (PET), computed-tomographic (CT), PET–CT, and/or bone scan, brain imaging consisting of magnetic-resonance imaging or CT with contrast, and routine blood. Patients had documentation of mediastinal disease by either imaging, mediastinoscopy, or endobronchial ultrasound biopsy.

Definitive therapy was administered using the backbone of chemoradiation therapy (CRT) with (trimodality) or without (bimodality) surgical resection. Concurrent CRT was typically administered with weekly carboplatin–paclitaxel (areas under the curve [AUCs], 2 and 50 mg/m2, respectively) and was generally followed with 2 cycles of consolidative treatment with definitive doses of carboplatin–paclitaxel (AUCs, 5-6 and 200-225 mg/m2, respectively) as tolerated. The entire cohort was also assessed for possible trimodality therapy at the time of initial diagnosis, and patients who were potential surgical candidates were reassessed for mediastinal nodal clearance following repeat radiographic staging after full-dose CRT. Patients who experienced pathologic mediastinal clearance of disease underwent resection followed by consolidative chemotherapy. Unless there was evidence of disease progression, patients who did not have mediastinal lymph node clearance or who were found not to be a surgical candidate proceeded directly to consolidative chemotherapy. The details of patient selection for trimodality therapy and the oncological outcomes have been previously reported.10 For follow-up, patients were normally followed with serial CT or PET–CT scans as clinically indicated every 3 months for the first year, 4 to 6 months for the next 2 to 5 years, and then yearly thereafter.

For the analysis, patients were categorized as being either married or single based on self-reporting. As a surrogate for nutrition status, patients were stratified into 4 pretreatment body mass index (BMI) cohorts based on the following World Health Organization criteria: underweight, <18.5 kg/m2; normal weight, 18.5 to <25 kg/m2; overweight, 25 to <30 kg/m2; and obesity, ≥30 kg/m2. Pretreatment albumin was also evaluated as a continuous variable. For assessment of immunological status, neutrophil-to-lymphocyte ratio (NLR) was calculated at the time of diagnosis by dividing the absolute neutrophil count by the absolute lymphocyte count.

Statistics

We used the Pearson chi-square test to compare categorical variables. OS was calculated from the date of diagnosis (by biopsy of either primary tumor or mediastinal nodes) to the time of death or date of last follow-up. Patients were only censored if they were lost to follow-up. FFR was determined by the date of diagnosis to the time of first failure, with either distant or locoregional disease progression. For this analysis, patients were censored at the time of their last follow-up or death. The Kaplan-Meier product limit method was used to estimate OS and FFR, and we applied the log-rank test to compare outcomes between the 2 cohorts.

We conducted the multivariate analyses using Cox regression with forward model selection. Variables analyzed included age (<60 vs ≥60 years), sex, race (black vs nonblack), median household income, insurance status (Yes vs No), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (range: 0-3; 0 = fully active and 3 = capable of limited self-care, confined to bed/chair >50% of day) at time of diagnosis (0 vs ≥1), pre-CRT BMI, smoking (pack-years), chronic obstructive pulmonary disorder (Yes vs No), Charlson Comorbidity Index score (≤6 vs >7; range, 3-15; this score takes into consideration age, cardiovascular disease, malignancy, and other chronic conditions to calculate 1-year mortality), histology, calculated pretreatment NLR (as a continuous variable), pretreatment albumin (as a continuous variable), T stage, N stage, overall stage (IIIA vs IIIB), radiation technique (3D-CRT vs intensity-modulated radiation therapy [IMRT]), date of diagnosis (divided into quartiles based on proportion diagnosed by years: 2000-2002, 2003-2005, 2006-2009, 2010-2013), use of trimodality therapy, and consolidation chemotherapy. SPSS software (version 23.0) was used for statistical analysis (IBM Corp, Armonk, NY).

Results

Treatment cohorts

Table 1 compares and summarizes patient demographics, disease, and treatment characteristics for married (n = 185; 52.1%) and nonmarried (n = 170; 47.9%) patients. Married patients were more likely to self-identify as being white (P < .0001), reside in zip codes with a higher household median income (P < .0001), have an ECOG PS of 0 (P = .001), have a higher distribution of pretreatment albumin levels (P = .009), and undergo trimodality therapy (P = .001), and they were twice as likely to have insurance (P = .029). Both cohorts were evenly distributed in terms of T stage, N stage, and overall staging. There was no difference in pretreatment NLR or pretreatment BMI between married and single patients. Concurrent CRT was used in more than 85% of patients in both groups, with approximately two-thirds also receiving consolidation chemotherapy (Table 1). Median delivered radiation dose was 64.8 Gy (range, 10.8-81.6 Gy). There was no statistically significant difference in radiation dose delivered to either group, with nearly 90% of the cohort receiving ≥60 Gy.

Figure 1 vyvfhuis

Table 1 vyfhuis continued

OS and FFR

With a median follow-up of 15 months for all patients and 89 months for surviving patients (range, 1-184 months), married patients had improved OS when compared with the single cohort, with a median survival of 29.6 and 18.4 months, respectively (unadjusted hazard ratio [HR] of married vs nonmarried, .640; 95% confidence interval [CI], 0.502-0.816; P < .0001; Figure 1A). The estimated 2- and 5-year OS for married and single patients were 56% and 31% and 38.6% and 15%, respectively. When stratified by stage, married patients with stage IIIB disease (median survival, 25 months; Figure 1B) had a similar survival to unmarried patients with stage IIIA disease (median survival, 24 months; Figure 1B).

Figure 1 vyvhuis

In stage IIIA patients, marital status was associated with an unadjusted HR of .696 (95% CI, 0.497-0.974; P = .035), with a larger OS benefit seen in the IIIB group (unadjusted HR, .601; 95% CI, 0.422-0.856; P = .005).

Survival as it pertains to marital status was further stratified by sex (Figure 2A) and race (Figure 2B). Married men had an improved estimated median survival of 30 months when compared with single men, whose median survival was 16 months (unadjusted HR, .541; 95% CI, 0.392-0.746; P < .0001). On the other hand, marital status had no statistically significant effect on OS when comparing married women with their single counterparts (unadjusted HR, .717; 95% CI, 0.491-1.048; P = .085; Figure 2A), with an overall median survival of approximately 28 months for the entire female cohort. Stratification by race also showed similar results, with married nonblack patients demonstrating better OS when compared with single nonblack patients (HR, .586; 95% CI, 0.420-0.820; P = .002; Figure 2B), with a median survival of 29 and 17 months, respectively. Black patients also had a similar improvement in survival when comparing the married (median survival, 30 months) and nonmarried groups (median survival, 19.6 months; unadjusted HR, .676; 95% CI, 0.457-1.000; P = .050; Figure 2B).

Figure 2 Vyfhuis

FFR did not differ between the 2 groups, with a median time to failure of 17 and 15 months for married and nonmarried patients, respectively (unadjusted HR, .799; 95% CI, 0.607-1.051; P = .108; Figure 3). Estimated 2- and 5-year FFR for married and nonmarried patients were 39.4% and 27% and 31.5% and 18.5%, respectively (Figure 3).

Figure 3 Vyfhuis

Clinical predictors of survival

On MVA, factors that were independent predictors for OS are summarized in Table 2. Risk of death was reduced by approximately 65% and 45% in patients who underwent trimodality treatment (P < .0001) or were able to undergo consolidative chemotherapy (P = .004) when compared with those who were treated definitively with bimodality treatment or did not undergo systemic doses of adjuvant chemotherapy, respectively. Having insurance (P = .048) and use of IMRT over 3D-CRT (P = .008) was associated with a reduction of mortality by about half in this cohort. Both gender (improved OS with female sex; P = .004) and marital status (improved OS with marriage; P = .006) were associated with a decreased the risk of death by 40% (Table 2). By contrast, a higher NLR resulted

Table 2 Vyfhuis

Discussion

Our study continues to support the notion that marital status is an independent indicator of survival in stage III NSCLC (adjusted HR, .59; 95% CI, 0.404-0.859; P = .006). The benefit of marriage in this population seems to be better than that reported in the SEER analysis for all stages, wherein the HR for death of married patients compared with their single counterparts was .85 (95% CI, 0.83-0.87). In their analysis, the investigators hypothesized that this survival advantage could partially be explained by better access to health care and adherence to therapy, as was supported by the higher likelihood of married patients presenting with localized disease and receiving definitive treatment.3 Another population-based study using the Florida Cancer Data System identified 161,228 lung cancer patients (NSCLC and small-cell lung histology included), and on MVA, marital status remained an important prognostic indicator for OS when compared with never-married patients (HR, .86; P = .001).6 In addition to typically including patients with all stages of diseases, population-based studies often include patients who receive a heterogeneous combination of treatment modalities, possibly confounding the analysis. Furthermore, large population analyses typically do not report on patient-specific variables such as nutrition (ie, BMI and albumin) or immunologic status (ie, NLR), both of which have been shown to be independent predictors of survival in LA-NSCLC.8,9

In contrast, some other studies have failed to demonstrate an OS advantage with marital status in patients with NSCLC. For example, in a meta-analysis that evaluated the influence of race, gender, and marital status on 1,365 nonoperative NSCLC patients who were enrolled in 9 Radiation Therapy Oncology Group (RTOG) trials, the investigators did not find marital status to be independently predictive of survival.11 In addition, for the 5,898 patients who were prospectively enrolled in a Mayo Clinic Lung Cancer Cohort (MCLCC), marital status was also found not to be prognostic for NSCLC outcomes when all stages of the disease were analyzed together.4 There are some possible confounding factors in these studies. Patients recruited for clinical trials tend to be healthier with a better performance status and have a support system (including close monitoring by the study team) when compared with the general population diagnosed with lung cancer. About 70% to 76% of the patients in both the RTOG and MCLCC studies were married, which is significantly higher than both the national average (51%) and our group (52.1%). Like other population-based studies, the MCLCC included patients with all stages getting a variety of treatments. Although no overall impact on survival was noted, the investigators noted that single, divorced, and widowed patients were more likely to not receive cancer therapy(P < .0001). The marital status also influenced the choice of therapy, with subgroup analysis revealing inferior outcomes in widowed and divorced patients with stage IA, IIB, or IIIB disease. The authors also recognized an inherent referral bias from patients, with support system being typically seen at the Mayo clinics, which may have played an additional role. All of the patients in our analysis were appropriately staged and received curative-intent treatment by a team of physicians using essentially identical therapeutic strategies, thus minimizing some of these confounding factors. This allowed us to explore the impact of marital status while a patient was undergoing stage-appropriate treatment. We demonstrated a strong association with marital status and survival that even overcame the effects of stage (IIIA vs IIIB) on clinical outcomes (Figure 1B).

Furthermore, our analysis allowed us to explore the interaction of race and marital status more definitively because the demographics of the patients in the RTOG and MCLCC included 14% and less than 3% of patients identified as being nonwhite, respectively, in contrast to our analysis in which 41% of the patients self-identified as black.12 In our black population, marital status was associated with an observable improvement in OS, similar to our nonblack, predominantly white (97%) cohort (Figure 2B). Also, the results of our analysis may be a more accurate representation of the general population living in large urban or semiurban settings and further implies that an intact social support system could have a greater influence on clinical outcomes.

The current analysis is unique when compared with previous published studies in that beyond conventional demographic and treatment-related factors, we have comprehensively explored potential mechanisms that may explain the survival advantage seen in married patients by evaluating additional factors, such as functional status (ECOG and Charlson’s scores), nutritional status (BMI and albumin), immunologic characteristics (NLR), and other social factors (race, income, insurance status). Although married patients were more likely to have a higher BMI and albumin at diagnosis, when controlling for these factors in the multivariable analysis, marital status remained strongly prognostic (Table 2), suggesting that nutrition alone does not fully account for the observed survival advantage demonstrated. A similar conclusion can be drawn about immunologic status. NLR has previously been shown to be prognostic in a number of cancers,13-16 including in our own cohort.8 Although immune status remains an important predictor for OS in our locally advanced NSCLC population, when we take NLR into consideration in our analysis, marital status continues to be a strong indicator for survival (Table 2). In terms of other variables analyzed, insurance status was a significant predictor of OS in the MVA, though functional status and other social factors including race were not significant.

We also explored cancer control outcomes in the form of FFR. Married patients had an observable, although not statistically significant, improvement in FFR when compared with the single cohort (Figure 2). In our study, married patients were more likely to undergo trimodality therapy (Table 1), which has likely translated to the improvement of FFR seen in our group. In this case, marriage may serve as a surrogate for availability of a support system to undergo aggressive, potentially toxic treatment.3,17,18 Even in the setting of bimodality therapy, the RTOG 0617 study noted about 17.5% treatment interruptions because of adverse effects or illness, with more than 30% of patients experiencing grade 3 or more esophagitis, irrespective of radiation technique.19 In these scenarios, in addition to receiving better attention to nutrition and care, significant others often provide emotional and social support that, in turn, can lead to better compliance. Social supports and socio-demographic factors are especially critical in patient populations in which access to health care is challenging.

Despite the compelling outcomes presented, our study suffers from the common limitations of retrospective analyses. Marital status, in this setting, most likely correlates with improved socioeconomic status and greater support, which have resulted in improved survival. Furthermore, although patients were self-classified as married or single, our data were not able to capture whether patients were single but lived with another adult or had other types of social support. However, even if there was a proportion of the unmarried cohort that had an alternate support system, separating them out is likely to further expand the differences. Quantifying the amount of social, emotional, or even spiritual support was not possible to accomplish in our analysis, though we know that all 3 can play a role in cancer outcomes.20,21 Further prospective studies would have to be done to completely understand how marital status can influence clinical decisions. Understanding whether marital status is a proxy for social provisions may help to identify populations at risk for inferior outcomes. These at-risk patients may benefit from targeted clinical interventions, such as closer physician follow-up, more aggressive supportive care, access to support groups, or nurse navigator visits.

Conclusions

In patients with locally advanced NSCLC treated with curative-intent following uniform treatment algorithms, marital status was linked with improvement in survival even when adjusted for other key variables, with the second highest HR (after insurance status) among pretreatment demographic variables. Although marriage is an unmodifiable factor in itself, it is most likely a surrogate for better psychosocial support. The scale of these positive survival improvements emphasizes the need to institute targeted supportive care strategies to help advance overall outcomes in a tumor for which modern therapeutic approaches (novel systemic therapy and radiation) have yielded only modest improvement in outcomes yet come at the cost of considerable treatment-related toxicity.

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