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Impact of Race on Outcomes of Patients with Non-small

Cell Lung Cancer

Ayesha S. Bryant, MSPH, MD,* and Robert James Cerfolio, MD, FACS, FCCP†

Objective: Examination of factors that may contribute to racial disparity among those with lung cancer has been thwarted by heterogeneous treatment and staging strategies, limited national registry and socioeconomic and follow-up data. This study examines a decades worth of data to better elucidate these factors in a cohort staged or treated using homogeneous algorithms.

Methods:A nested case-control study of patients with non-small cell lung cancer (NSCLC). White patients were matched 4:1 to African American patients on age, gender, comorbidities, perfor-mance status, and stage. All patients underwent clinical and patho-logic staging by one physician using similar staged-based treatment algorithms. Socioeconomic status was assessed by annual income per capita, insurance status, and education level. The primary out-come was survival rate.

Results:Among the 930 patients in this series, African Americans were more likely to be smokers (p⬍0.001), have a lower per-capita annual income (p⫽0.016), greater delay to treatment (p⫽0.023), and less likely to agree to neo-adjuvant therapy (p⬍0.001). Whites had better 5-year overall survival than African Americans for stage I (84% versus 78%, p⫽ 0.037), stage II (52% versus 44%,p⫽ 0.041), and stage III (32% versus 20%, p ⫽ 0.008) NSCLC. However, this survival advantage disappeared for earlier stages of NSCLC (I and II) when adjusted for socioeconomic status and smoking status. The survival advantage for stage IIIa was lost when adjusted for neo-adjuvant chemoradiotherapy. African American men had the worst survival of all subgroups independent of socio-economic status.

Conclusions:Given uniform staging, treatment, and socioeconomic status the overall survival rates for African American and White patients with NSLC are similar.

Key Words:Lung cancer, Survival, Surgery. (J Thorac Oncol.2008;3: 711–715)

A

lthough smoking rates have declined in the United States, lung cancer continues to be a pandemic.1It is the number

one cause of cancer related deaths world-wide. In 2006 there were an estimated 174,000 patients diagnosed with lung cancer and 162,000 deaths due to lung cancer in the United States alone.1 Bronchogenic malignancy has been shown in

large registry databases to have racial disparity in clinico-pathologic characteristics and in survival. However, these databases feature inconsistent staging, many different treating physicians, and multiple treatment strategies and a whole host of other confounders.

Advances in genetics and the social sciences have dem-onstrated that race, in and of itself, is usually not a relevant biologic factor; rather it is a complex variable heavily impacted by strong socioeconomic associations.2 Mortality from lung

cancer still remains highest in the African American popula-tion.3–5 Given the striking differences in survival between

patients with early stage lung cancer who undergo surgical resection and those who have alternative treatments, it is not surprising that research has shown that some of the higher mortality in African Americans with early stage non-small cell lung cancer (NSCLC) may be attributed to differences in surgical rates.4 These rates are affected by stage, lead time

bias, access to healthcare, and patient’s and physician’s attitude towards surgery, chemotherapy and radiation. There-fore, we attempted to minimize these effects. The goal of this study was to assess the survival difference between African American and White patients with NSCLC who received comparable staging tests and procedures and similar treat-ment. In addition, we attempted to control for the effect that socioeconomic status and access to health care might play.

METHODS Study Design and Definitions

This study evaluates a consecutive cohort of patients with biopsy proven NSCLC, all pathologically staged using a similar algorithm by one physician. Patients were enrolled and followed from January 1997 to January 2007. Patients were excluded if they were 19 years of age or younger, had histology that was not NSCLC, or if they received neo-adjuvant chemoradiotherapy without biopsy proven N2 dis-ease. The University of Alabama at Birmingham’s institu-tional review board approved this study and the prospective database used to collect the data. Patient consent was ob-tained for entry into the prospective database. This consent

*Department of Epidemiology, Division of Cardiothoracic Surgery; and †Division of Cardiothoracic Surgery, University of Alabama at Birming-ham (UAB), BirmingBirming-ham, Alabama.

Disclosure: The authors have no financial conflict of interest with regard to this work.

Address for correspondence: Ayesha S. Bryant, Department of Epidemiol-ogy, Division of Cardiothoracic Surgery 703 19th St S, ZRB 736, Birmingham, AL 35294. E-mail: abryant@uab.edu

Copyright © 2008 by the International Association for the Study of Lung Cancer

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advised patients that the information in the prospective data-base may be used for future research.

The socioeconomic status of each patient was deter-mined by using patients per capita annual income (self-reported), health insurance status (verified), and highest ed-ucational achievement (self-reported). Median per capita income was calculated by taking the patients average annual household income divided by the number of persons residing in the household. Health insurance status was stratified into four categories: patients with Medicare with a private sec-ondary insurance company, any Health Maintenance Organi-zation, or those covered by any private company were labeled as “privately insured”, patients with Medicare only were labeled as “Medicare insured”, patients with Medicaid only were labeled as Medicaid insured, and those with no insur-ance were classified as “uninsured.” Highest educational achievement was self-reported and separated into the follow-ing categories: some high school but did not graduate, grad-uated high school or received General Educational Develop-ment, 2-year college (some college or associates degree), graduated 4-year college, masters or equivalent graduate level degree, and doctorate level degree. Time interval until patient presented to specialist was counted as the number of days between first abnormal chest radiograph to the date the patient initially presented to a pulmonologist, oncologist or thoracic surgeon.

Preoperative Staging

All patients were clinically staged using 5 mm colli-mated computed tomography (CT scan) of the chest and upper abdomen and in addition all patients underwent dedi-cated positron emission tomography (PET) using 2-dexoy-2-18F –flouro-D-glucose F-18 (FDG-PET or PET/CT) scan. Pathologic staging was required for inclusion into this study. All suspicious mediastinal nodes (N2 and/or N3) with a maximum SUV (maxSUV) ⱖ2.5 on FDG-PET scan or ⱖ1 cm in greatest axis on CT scan were biopsied before pulmo-nary resection. Mediastinoscopy and/or endoscopic ultra-sound fine needle aspirate were used to biopsy different nodal stations as previously described.6 All suspicious metastatic

(M1) sites by FDG-PET or by CT scan were also investigated and/or biopsied. Patients with suspected M1 disease in the liver, adrenal, or contralateral lung underwent definitive bi-opsy to prove or disprove M1 cancer. If the bone or brain was suspected to harbor metastases, magnetic resonance imaging was considered the standard reference. The tumor, node, metastasis pathologic stage was assigned using the interna-tional staging system.7

Treatment Strategy

In general, patients with stage I and II disease under-went resection through thoracotomy with complete thoracic lymphadenectomy. Those with biopsy-proven stage IIIa dis-ease because of metastasis lymph node involvement proving N2 disease underwent platinum based chemotherapy with concurrent radiotherapy (chemo-radiotherapy). Selected pa-tients with stage IV disease who underwent complete resec-tion (some with a single brain metastasis and others with unsuspected M1 nodules in the same lung) were included in

this study and were labeled as stage IV disease but were completely resected.

Patients who had biopsy proven N2 disease underwent platinum based chemoradiotherapy (using 4500 – 6600 cGy) and were restaged with a chest CT and dedicated PET or PET/CT scans. If they were N2 negative after the completion of their neo-adjuvant therapy, they underwent resection. If a patient had biopsy proven N3 or M1 disease they were treated with additional chemoradiotherapy and not resected. Patients who were N2 negative underwent thoracotomy with complete resection. At thoracotomy, a complete thoracic lymphadenec-tomy (not nodal sampling) was used exclusively. Pathologic review was performed by means of standard techniques, immuno-histochemical staining, and marker testing were em-ployed when appropriate.

Statistical Analysis

Continuous data are presented as medians and categor-ical data are presented as percentages. Characteristics of the patients and treatments were compared by Fisher exact test or Pearson’s ␹2test for categorical data and by the Wilcoxon

test for continuous data. Survival estimates were derived by Kaplan-Meier analysis and log-rank test were used to assess differences in survival among the groups. Stratified log-rank analyses and Cox proportional-hazards modeling were used to investigate and adjust for major prognostic and stratifica-tion factors. Variables with p values ⬍0.10 in univariate analysis were included in the step wise multivariate model. A two-sided p value of ⬍0.05 was considered statistically significant. Patients alive at the end of the study period were censored for purposes of data analysis. Analysis was per-formed using the SAS software v. 9.0.

Data Collection and Follow-up

Patients were actively followed after pathologic staging and treatment to the end of this study. For patients who were completely resected, follow-up consisted of chest and abdom-inal CT scan every 6 months for the first 2 years and yearly afterward. Patients who were not completely resected under-went more frequent follow-up with their onocologist and/or surgical oncologist. Outcomes and follow-up data was ob-tained from multiple sources such as: clinic letters, follow-up scans, hospital computer information systems, tumor registry, social security death index, telephone calls, and letters from oncologists and other physicians. The time to disease recur-rence (defined as biopsy-proven NSCLC), progression or death due to lung cancer was recorded. All information was entered into our prospective database. Data acquisition for new patients was stopped on January 2007 for this study but patient follow-up continued until March 2007.

RESULTS Patient Characteristics

Between January 1997 and January 2007, 1813 patients eligible for this study presented with NSCLC. Of those patients, 186 were African American and 1,627 were Whites. Each African American patient was matched with four White patients (744) on gender, age (within ⫾5 years), health

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performance status, and treatment. Patient demographics, preoperative, and socioeconomic characteristics are shown in Table 1. Smoking history, per capita annual income, time to presentation, and health insurance type differed significantly between the two groups (p⬍ 0.001,p⫽ 0.016,p⫽0.023 andp⫽0.008 respectively). Table 2 shows the operative and pathologic characteristics of African Americans and Whites. There was no significant difference in the histology and stage between the two groups.

Figure 1 shows the proportion of patients who received neo-adjuvant therapy for preoperative mediastinal (N2) dis-ease and their survival rates. Seventeen percent of African Americans declined neo-adjuvant therapy as compared with only 2% of Whites; this difference was statistically signifi-cantly different (p ⬍ 0.001). Among the patients that did receive neo-adjuvant therapy, the 5-year and 7-year survivals were similar for African Americans and Whites (p⫽0.10).

Survival Analysis

Kaplan-Meier analysis showed socioeconomic status (annual per capita income, insurance status, and education level) and time until presentation for treatment to be predic-tors of survival. Figure 2 shows that Whites had a greater overall 7-year survival than African Americans, however, this difference was not statistically significant (23% for Whites

compare with 18% for African Americans, p⫽ 0.15). Cox Hazards regression analysis showed that annual per capita income (p⫽0.031) and time until presentation (p⫽ 0.002) were independent predictors of survival.

Stage specific Kaplan-Meier survival analysis showed that White patients had a significantly greater 5-year survival than African American patients for stages I, II and III NSCLC. Smoking rate significantly impacted all three stages, however, per capita income and time until presentation for treatment impacted survival in patients with early stage NSCLC only (stages I and II). Because the majority of patients with stage III disease were stage IIIA from N2 disease, we further analyzed the stage IIIa patients who had N2 disease by controlling for neo-adjuvant chemo-radiotherapy and found no statistically significant differ-ence in the 7-year survival rates between African Ameri-cans and Whites.

Gender specific Kaplan-Meier analysis showed no sig-nificant difference in survival rates of African American women and White women (p⫽ 0.181). Among men how-ever, White men had a higher 7-year survival rate compared with African American men (31% compared with 18%,p⫽ 0.008). Smoking rate and time until presentation for treatment were the only independent predictors on Cox Hazards anal-ysis (p ⫽ 0.007) for African American men. Median fol-low-up period was 4.8 years (range, 2 months–10.1 year). Seventy-three (8%) patients were lost to follow-up.

DISCUSSION

Lung cancer is the number one cause of cancer deaths world-wide and there may be genetic, biologic, and/or epidemiologic factors that lead to different survival rates in subgroups of patients. For example, women are more likely to develop adenocarcinoma and have a better 5-year survival than men.8 –12 This is true even when

patients are carefully pathologically staged and completely

TABLE 1. Patient Demographics, Preoperative and Socioeconomic Characteristics White n744 African American n186 p Gender Male 308 (41%) 77 (41%) Matched Female 436 (59%) 109 (59%)

Age (median in yr, range) 61 (22–89) 59 (24–85) Matched Pulmonary Function (median)

FEV1%* 80% 81% 0.822

DLCO%* 69% 72%

MVV%* 77% 79%

History of smoking 536 (72%) 158 (85%) ⬍0.001 Median ECOG score (range, 0–5) 0 0 Matched History of cardiovascular disease† 275 (37%) 72 (42%) 0.633

Insurance status

Private 364 (49%) 65 (35%) 0.001

Medicare only 290 (39%) 73 (39%)

Medicaid only 45 (6%) 21 (11%)

Uninsured 45 (6%) 27 (15%)

Annual income (per capita) $10,500 $8,250 0.016 Highest education level (median) 2 yr college HS grad/GED 0.459 Time until presentation for

treatment (median wk)

2.8 4.3 0.023

Neo-adjuvant therapy 224 (30%) 48 (26%) 0.361 Adjuvant chemotherapy‡ 59 (10%) 14 (9%) 0.421

*All values are median values and are percent predicted for: Forced Expiratory Volume (FEV1), Maximum Voluntary Ventilation (MVV), and Diffusion Limited Carbon Monoxide (DLCO).

Defined as history of coronary artery bypass grafting, left ventricular function

⬍35%, hypertension, myocardial infarction, angina, or coronary artery stent.

Denominator includes only patients that underwent a complete resection.

TABLE 2. Operative and Tumor Characteristics

White African American p

Treatment

Not-resected: Mediastinoscopy, EUS-FNA, VATS and/or wedge

149 (20%) 37 (20%) Matched

Resected 595 (80%) 149 (80%)

Histology

Adenocarcinoma 298 (40%) 67 (36%) 0.780 Squamous cell carcinoma 365 (49%) 96 (51%)

Other* 81 (11%) 23 (12%)

Pathologic stage of NSCLC (after mediastinoscopy, EUS-FNA, etc, prior to any neo-adjuvant therapy)

0 15 (2%) 4 (2%) 0.713

I 424 (57%) 95 (51%)

II 97 (13%) 30 (16%)

III 193 (26%) 53 (29%)

IV 15 (2%) 4 (2%)

*Other category includes unspecified NSCLC, mixed cancer types such as adeno-squamous carcinoma, large cell, carcinoid, bronchoalveolar carcinoma.

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resected.13Likewise, previous reports have suggested that

race also plays an important factor in the survival of patients with NSCLC.

Possible genetic factors have been presented to explain the poor survival of African Americans patients compared with White patients. Perez-Stable in 1998 reported a higher prevalence of genetic polymorphisms in African Americans compared with Whites.14They observed that African

Amer-ican smokers had a higher serum level of cotinine despite similar daily cigarette consumption and a 30% higher intake of nicotine per cigarette than Whites. Smoking patterns that vary by race may also account for some of these reported survival discrepancies. Although African American smokers seem to begin smoking at a later age, they are less likely to quit once started. In 1987, the quit rate for African Amer-ican smokers was 32% as compared with 47% for White smokers.15 Additionally, Cummings in 1987 reported an

increased use of mentholated cigarettes in African

Amer-icans (70 – 80%) as compared with Whites (20 –30%).16

Mentholated cigarettes have a higher tar content,17 higher

levels of carcinogens,18 facilitate the absorption of carbon

monoxide and decrease ventilation leading to greater pulmo-nary retention of tobacco smoke. Hence because of these reports and our practice that employs consistent, careful clinical, and pathologic staging of all patients and life-time follow-up, we decided to prospectively evaluate the impact of epidemiological and socioeconomic variables on survival rates for our patients with NSCLC.19

In this study we found no significant difference in the survival of White patients compared with African American patients once we controlled for socioeconomic status vari-ables and time until presentation for treatment. Smoking rates impacted survival only in men. Additionally, African Amer-icans were more likely to refuse preoperative chemo-radio-therapy compared with Whites. Thus our data suggests that the difference in survival between White and African Amer-icans is not genetic or biologic but rather may be related to access to health care and/or the patient’s perception of health-care and of various treatments.

In our report, African Americans were less likely to agree to neo-adjuvant chemo-radiotherapy for N2 disease, despite the recommendations for both groups to be the same. Earle in 2000 reported that there was wide variation in the utilization of palliative chemotherapy among Medicare pa-tients, and nonmedical factors were strong predictors of whether a patient received chemotherapy or not.20 Other

factors that may influence type of treatment are patient perception, racial and cultural differences, expense, logistical issues, and performance status. Thus when we when con-trolled for socioeconomic status variables the survival gap between African Americans and Whites narrowed consider-ably. Although this type of study cannot be performed using the Surveillance, Epidemiological, End-Results database (be-cause of inconsistent staging and treatment strategies and lack of smoking history data), previous reports using Surveillance, Epidemiological, End-Results have shown that most African American cancer patients live in high density areas with lower median income.

FIGURE 1. Incidence and survival rates for patients with mediastinal (N2) nodal involve-ment, diagnosed preoperatively who received neo-adjuvant chemo-radiotherapy by race.

FIGURE 2. Actuarial survival for all patients (n⫽930) ad-justed for smoking rates, income, time until presentation and education level. The overall 7-year survival was higher in Whites compared with African Americans, although this dif-ference was not statistically significant (p⫽0.149).

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The strengths of our study include that all patients were treated by one physician, patients come from similar geo-graphic regions, received a dedicated PET or PET/CT before surgery, availability of socioeconomic data (income, educa-tional level) and those who underwent surgery received a complete thoracic lymphadenectomy. Additionally, we were able to assess temporal differences in presentation for treat-ment between the groups. In a Veterans Administration study evaluating outcomes of patients with NSCLC or colon can-cer, the survival of African Americans was equivalent to Whites, suggesting that equal access to comparable health care results in equal outcomes.21 All of these facts limit

confounding and stage migration. We also sought to elimi-nate known confounders of survival by matching on some of these characteristics. For example, we matched on perfor-mance status, comorbidities, and age. Age has been found to be a predictor for treatment choices—– elderly patients have been found to be less accepting of potentially curative surgi-cal treatments for difference cancers including early stage NSCLC.19,22Limitations of this study include that it is

uni-institutional. Additionally, measurements of factors such as personal beliefs, surgical acceptance, racial and cultural dif-ferences cannot be objectively measured.

In conclusion, we found that White patients had better survival than African American patients overall and for stage I, II and III NSCLC on univariate analysis. However, when we adjusted for socioeconomic status and time to access to care, the racial disparity faded and the advantage was lost for those with early stage lung cancer (stages I or II). When we adjusted for neo-adjuvant therapy rates for stage IIIA disease, the survival advantage for stage III disease also disappeared. Smoking only impacted survival in African American men. These data suggest the difference in survival between African American and White patients may not be genetic or biologic, but rather socioeconomic. Increased education and more prompt healthcare access may improve the dismal survival for patients with non-small cell lung cancer, in particular African American patients.

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1. Jemal, A, Siegel R, Ward E, et al. Cancer statistics, 2006.CA Cancer J Clin2006;56:106 –130.

2. Freeman HP. The meaning of race in science-considerations for cancer research: concerns of special populations in the National Cancer Pro-gram.Cancer1998;18:219 –225.

3. Graham MV, Geitz LM, Byhardt R, et al. Comparison of prognostic factors and survival amongst African American patients and Caucasian patients treated with irradiation for non-small cell lung cancer.J Natl Cancer Inst1992;84:1731–1735.

4. Bach PB, Cramer LD, Warren JL, Begg CB. Racial differences in the

treatment of early stage lung cancer.N Engl J Med1999;341:1198 – 1205.

5. Blackstock AW, Hernon JE, Paskett ED, et al. Similar outcomes be-tween African-American and non-African American patients with ex-tensive-stage small cell lung carcinoma: report from the Cancer and Leukemia Group B.J Clin Oncol2006;24:332–333.

6. Eloubedi MA, Cerfolio RJ, Chen VK, Desmond R, Syed S, Ojha B. Endoscopic ultrasound guided fine needle aspiration of mediastinal lymph node in patients with suspected lung cancer after positron emis-sion tomography and computed tomography scans.Ann Thorac Surg 2005;79:263–268.

7. Mountain CF. Revisions in the international systems for staging lung cancer.Chest1997;111:1710 –1717.

8. Stabile LP, Davis AL, Gubish CT, et al. Human non-small cell lung tumors and cell derived from normal lung express both estrogen receptor alpha and beta and show biological responses to estrogen.Cancer Res 2002;62:2141–2150.

9. Canver CC, Memoli VA, Vanderveer PL, Dingivan CA, Mentzer RM Jr. Sex hormone receptors in non-small cell lung cancer in human beings. J Thorac Cardiovasc Surg1994;108:153–157.

10. Olak J, Colson Y. Gender differences in lung cancer: have we really come a long way, baby?J Thorac Cardiovasc Surg2004;128:346 –351. 11. Janne PA, Gurubhagabatula S, Yeap BY, et al. Outcomes of patients with advanced non-small cell lung cancer treated with gefitinib (Iressa) on an expanded access study.Lung Cancer2004;44:221–230. 12. Keller SM, Vangel MG, Adak S, et al. The influence of gender on

survival and tumor recurrence following adjuvant therapy for completely resected stages II and IIIa non-small cell lung cancer. Lung Cancer 2002;37:303–309.

13. Cerfolio RJ, Bryant AS, Scott E, et al. Women with pathologic stage I, II and III non-small cell lung cancer have better survival than men.Chest 2006;130:1796 –1802.

14. Perez-Stable EJ, Herrera BB, Jacob P, et al. Nicotine metabolism and intake in African American and Caucasian smokers.JAMA1998;280: 152–156.

15. Fiore MC. Trends in cigarette smoking in the United States. The epidemiology of tobacco use.Med Clin North Am1992;76:289 –303. 16. Cummings KM, Giovino G, Mendicino AG. Cigarette advertising and

African American-Caucasian differences in brand preference. Public Health Rep1987;102:698 –701.

17. Richardson TL. African-American smokers and cancers of the lung and of the upper respiratory and digestive tracts. Is menthol a part of the puzzle?West J Med166;1997:189 –194.

18. Schmeltz I, Schlotzhaur WS. Benzo(a)pyrene, phenols, and other prod-ucts from pyrolysis of the cigarette additive, (d1)-menthol. Nature 1968;219:370 –371.

19. Samet J, Hung WC, Key C, Humble CG, Goodwin JS. Choice of cancer therapy varies with age of patient.JAMA1986;255:3385–3390. 20. Earle CC, Venditti N, Neumann PJ, et al. Who gets chemotherapy for

metastatic lung cancer?Chest2000;117:1239 –1246.

21. Akerley WL, Moritz TE, Ryan LS, Henderson WG, Zacharski LR. Racial comparison of outcomes of male Department of Veterans Affairs patients with lung and colon cancer.Arch Intern Med1993;156:1681– 1688.

22. Jazieh AR, Kyassa MJ, Sethuraman G, Howington J. Disparities in surgical resection of early-stage non-small cell lung cancer.J Thorac Cardiovasc Surg2002;123:1173–1211.

Figure

Figure 1 shows the proportion of patients who received neo-adjuvant therapy for preoperative mediastinal (N2)  dis-ease and their survival rates
FIGURE 1. Incidence and survival rates for patients with mediastinal (N2) nodal  involve-ment, diagnosed preoperatively who received neo-adjuvant chemo-radiotherapy by race.

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