Head and neck cancer-specific survival based on socioeconomic status in Asians and Pacific Islanders

Authors


  • The ideas and opinions expressed herein are those of the author(s) and endorsement by the State of California, Department of Health Services, the National Cancer Institute, and the Centers for Disease Control and Prevention or their contractors and subcontractors is not intended nor should be inferred.

Abstract

BACKGROUND:

Lower socioeconomic status (SES) has been linked to higher incidence of head and neck cancer (HNC) and lower survival. However, little is known about the effect of SES on HNC survival in Asians and Pacific Islanders (APIs). This study's purpose was to examine the effect of SES on disease-specific survival (DSS) and overall survival (OS) in APIs with HNC using population-based data.

METHODS:

A total of 53,544 HNC patients (4,711 = APIs) were identified from the California Cancer Registry from 1988 to 2007. Neighborhood (block-group-level) SES, based on composite Census 1990 and 2000 data, was calculated for each patient based on address at diagnosis, categorized into statewide quintiles, and collapsed into 2 groups for comparison (low SES = quintiles 1-3; high SES = quintiles 4-5). DSS and OS were computed by the Kaplan-Meier method. Adjusted hazards ratios (HR) were estimated using Cox proportional hazards regression models.

RESULTS:

Among APIs, lower neighborhood SES was significantly associated with poorer DSS (HR range for oral cavity, oropharynx, or larynx/hypopharynx cancer, 1.07-1.34) and OS (HR, 1.13-1.37) after adjusting for patient and tumor characteristics. Lower SES was significantly associated with poorer survival in API with all HNC sites combined: DSS HR: 1.26 (95% confidence interval [CI], 1.08-1.48) and OS HR, 1.30 (95% CI, 1.16-1.45).

CONCLUSIONS:

Neighborhood SES was associated with longer DSS and OS in API with HNC. The effect of SES on HNC survival should be considered in future studies, and particular attention should be paid to clinical care of lower-SES HNC patients. Cancer 2011. © 2010 American Cancer Society.

In 2009, there were approximately 48,000 cases of head and neck cancer (HNC) diagnosed in the United States, making up approximately 5% of all cancers.1 Despite its relatively low incidence, the impact of HNC diagnosis is grave due to its associated morbidity and mortality. Functional morbidity from aggressive multimodality treatment, including dysphasia, dry mouth, hoarseness, and facial disfigurement,2-4 can lead to subsequent mental distress and impede patients from returning to work.5, 6 The societal burden of HNC treatment ranges from increased use of inpatient and outpatient services7, 8 to increased Medicare expenditure in the range of $25,000 greater than in patients without HNC.9 Hence, understanding the factors that influence treatment outcomes in this debilitating disease will help us not only in tailoring our treatment to individual patients but also in distributing society resources to the population in need.

Several clinical and pathologic factors have been consistently shown to influence survival in HNC patients; these include age, gender, clinical stage, tumor site, treatment parameters, tobacco use, and human papilloma virus infection. The only social parameter that has been linked to survival outcomes of HNC is socioeconomic status (SES), but this has been evaluated only in a few studies, half of which were performed outside the United States.10-18 Therefore, a better understanding of the relationship between SES and HNC survival can help improve the overall clinical care by heightening provider awareness of existing disparities, as well as by focusing future research to identify and ameliorate the underlying causes of SES disparities.

The prior studies of SES and HNC survival in the United States have included non-Hispanic whites and African Americans,19-21 but not other racial/ethnic groups. California has the fastest growing Asian and Pacific Islander (API) population in the United States,22 yet APIs have been overlooked in most prior studies of HNC survival. In addition, several Asian ethnic groups, such as the Chinese, Vietnamese, and Filipinos, are prone to developing a certain HNC, specifically nasopharyngeal carcinoma. To our knowledge, no studies have evaluated the association of SES and survival in APIs diagnosed with HNC in the United States. This topic, therefore, merits investigation, particularly as the effects of SES disparity on cancer survival across racial/ethnic groups can vary.23 We previously found that lower neighborhood-level SES, based on an index that combines census block-group averages of education, income, occupation, and cost of living,24 was associated with higher HNC incidence among APIs in California.25 We hypothesize here that lower neighborhood-level SES is also associated with lower disease-specific survival (DSS) among APIs diagnosed with HNC. To address this hypothesis, we evaluate the relationship of neighborhood-level SES with DSS and overall survival (OS) in all HNC and specifically in API patients using population-based cancer registry data from California, the state with the largest population of APIs in the United States.

MATERIALS AND METHODS

Study Population

Information on all invasive HNC patients diagnosed between January 1, 1988, and December 31, 2007, was obtained from the population-based California Cancer Registry (CCR), which operates through state-mandated reporting since 1988, and comprises 3 of the US National Cancer Institute's SEER (Surveillance, Epidemiology, and End Results) registries (Greater Bay Area, Los Angeles, and Greater California). Only primary tumors originating in the nasopharynx (NPC, International Classification of Diseases for Oncology, 3rd edition, site codes C110-C119), oral cavity (OC, codes C019-069, C140-148), oropharynx (OP, codes 090-109), larynx (LX, codes C320-329), or hypopharynx (HP, codes C129-139) were included. Tumor histology was determined using ICD-O-3 histology codes to exclude any nonsquamous cell carcinoma histologies, including mesotheliomas (codes 9050-9055), Kaposi sarcomas (code 9140), and lymphomas (codes 9590-9989). Patients with unknown race/ethnicity, diagnosed on death certificate or at autopsy, or with unknown survival time were excluded, leaving a sample of 53,544 patients, of whom 4,711 were API. For comparison, our analysis also included 38,892 non-Hispanic whites.

Patient and tumor characteristics that are collected through the CCR and included in this study are age at diagnosis, sex, race/ethnicity, marital status, tumor stage (localized, regional, or remote), tumor histologic grade, treatment modality within the first 4 months of diagnosis, hospital of earliest admission, and vital status. If the patient is deceased, the cause and date of death are also recorded. Registry data on patient race/ethnicity are typically abstracted from hospital medical records, which are obtained primarily through self-report, by assumption of hospital personnel, or on inference from other information including race/ethnicity of parents, maiden name, surname, and birthplace, and from death records.24 Data on nativity (US-born vs foreign-born status) are available for Hispanics as well as Chinese, Filipinos, Japanese, Koreans, South Asians, and Vietnamese, but not for other API subgroups that represent approximately 10% of the API cohort. Regardless, we examined nativity in our preliminary models and found that it was not an independent factor in API or Hispanic survival from HNC. Therefore, nativity was excluded from our final analyses. Information on specific API ethnicity is available in the registry, but, for this analysis, APIs were analyzed as 1 group because of small sample sizes.26

Neighborhood SES

Individual patient-level SES information is not collected by cancer registries. Therefore, we determined neighborhood-level SES based on each patient's residence at diagnosis. The SES index combines census block-group averages of education, income, occupation, and cost of living, as described previously.24 Neighborhood-level SES is classified in quintiles based on state average distributions; we combined these categories into 2 groups, with lower SES represented by quintiles 1 to 3 and higher SES represented by quintiles 4 to 5.

Statistical Analysis

Follow-up was measured in months from each patient's date of diagnosis to the date of death from any cause for OS, the date of death from HNC for DSS (in which patients who died from other causes were censored on the date of death), the date of last known contact, or the end of the study period on December 31, 2007, whichever occurred earliest. Kaplan-Meier curves stratified by neighborhood SES were generated by race/ethnicity. HP and LX cancers were combined into a single group for analysis due to relatively small case numbers and their intimate proximity in anatomic location, making it difficult on occasion to distinguish between these 2 primary tumor sites.

Multivariate Cox models proportional hazards models were used to estimate hazards ratios (HRs) with 95% confidence intervals (CI) for overall or disease-specific mortality for APIs and non-Hispanic whites combined and for APIs only. The proportional hazards assumption was assessed by visual inspection of the survival curves (log [−log] of the survival distribution function by log months) and test for time-dependency. There was no evidence of violation of the proportionality assumption. For all patients combined, separate multivariate models were constructed for each tumor site. For API patients, due to limited case numbers, a single multivariate model was constructed for all mucosal HNC sites combined, excluding NPC due to its distinctive natural history, risk factors, and outcomes. Variables included in the multivariate analysis were selected based on univariate associations with the outcome (at P < .15) and a priori knowledge of potential confounders. These included age at diagnosis, sex, race/ethnicity, marital status, tumor stage, tumor histologic grade, initial treatment modality, and reporting by a university teaching hospital. All statistical tests were 2-sided, and P values <.05 were considered as statistically significant. Analyses were performed using SAS version 9.1.3.

RESULTS

Patient Characteristics

Table 1 shows patient demographic and disease-related characteristics for non-Hispanic white and API HNC patients included in this study. As expected, HNCs among API patients were more likely than those among non-Hispanic white patients to have NPC, with APIs representing 55.4% of all NPC patients. APIs otherwise represented 6.6% of OC patients, 4.0% of OP patients, and 4.6% of HP/LX patients. The median duration of follow-up was 22.3 months in deceased patients and 79.7 months in living patients.

Table 1. Demographic and Disease Characteristics in Head and Neck Cancers Diagnosed in California Between 1988-2007
CharacteristicRace, n (%)
Non- Hispanic White (n = 38,892)Asian (n = 4,711)
Age at diagnosis (years)
 <504919 (13)1505 (32)
 50-599540 (25)1064 (23)
 60-6911792 (30)1054 (22)
 70+12641 (33)1088 (23)
Year of diagnosis
 1988-19918588 (22)701 (15)
 1992-19957959 (20)842 (18)
 1996-19997646 (20)985 (21)
 2000-20037317 (19)1069 (23)
 2004-20077382 (19)1114 (24)
Sex
 Male27823 (72)3284 (70)
 Female11069 (28)1427 (30)
Marital status
 Never married5617 (14)509 (11)
 Married21141 (54)3385 (72)
 Separated/widowed/divorced10858 (28)664 (14)
 Unknown1276 (3)153 (3)
Neighborhood socioeconomic status (SES)
 Lower (Statewide quintiles 1-3)21284 (55)2529 (54)
 Higher (Statewide quintiles 4-5)17608 (45)2182 (46)
University teaching hospital?
 No34296 (88)3993 (85)
 Yes4596 (12)718 (15)
Cancer site
 Oral11864 (31)1020 (22)
 Oropharynx11310 (29)573 (12)
 Hypopharynx/larynx14500 (37)905 (19)
 Nasopharynx1218 (3)2213 (47)
Summary Stage at diagnosis
 Localized15302 (39)1341 (28)
 Regional16626 (43)2157 (46)
 Remote4598 (12)853 (18)
 Unknown2366 (6)360 (8)
Tumor histologic grade
 Well/moderatelyDifferentiated21945 (56)1540 (33)
 Poor/undifferentiated10648 (27)2239 (48)
 Unknown6299 (16)932 (20)
Surgery
 No/unknown18786 (48)3106 (66)
 Yes20106 (52)1605 (34)
Radiotherapy
 No/unknown12314 (32)1103 (23)
 Yes26578 (68)3608 (77)
Chemotherapy
 No29758 (77)2767 (59)
 Yes8681 (22)1899 (40)
 Unknown453 (1)45 (1)

Although not shown in Table 1, there were 4234 African Americans and 5707 Hispanic patients included in the survival analyses of all HNC patients. Similar to the literature, both African Americans and Hispanics were more likely to be in the lower SES quintiles, 85% and 78%, respectively. They were both less likely to be married compared with APIs.

Effect of Socioeconomic Status and Other Characteristics on Disease-Specific Survival in Head and Neck Cancers

The median DSS in months for non-Hispanic whites and APIs combined, stratified by tumor site, sex, and SES, is shown in Table 2, and the Kaplan-Meier DSS curves for the 2 SES groups are shown in Figure 1 for each tumor site. DSS was significantly shorter for patients in the lower SES group than those in the higher SES group, regardless of tumor type or sex.

Figure 1.

Disease-Specific Survival of all patients diagnosed with head and neck cancer by high (quintiles 4-5) and low (quintiles 1-3) neighborhood socioeconomic status in California between 1988 and 2007. (a) Nasopharynx; (b) Oropharynx; (c) oral cavity; (d) larynx/hypopharynx.

Table 2. Median Survival (in Months, With 95% Confidence Intervals) of Head and Neck Cancer Patients in the California Cancer Registry Between 1988 and 2007 Based on Tumor Site and Neighborhood Socioeconomic Status
Neighborhood SES (Statewide Quintiles)Oral CavityOropharynxLarynx/ HypopharynxNasopharynx
Low (1-3) N = 8961High (4-5) N = 6468Low (1-3) N = 8142High (4-5) N = 6242Low (1-3) N = 12456High (4-5) N = 7277Low (1-3) N = 2286High (4-5) N = 1712
  1. SES indicates socioeconomic status.

Overall38.1 (35.5-40.1)62.4 (59.1-66.7)36.7 (34.4-38.8)85.4 (79.2-91.3)49.3 (47.3-51.5)74.6 (71.2-77.9)61.3 (55.9-70.2)100.9 (88.7-115.7)
Male36.1 (33.6-39.2)60.8 (56.3-65.6)38.9 (36.7-42.0)97.2 (90.4-104.4)49.6 (47.3-52.0)76.9 (72.9-81.8)56.3 (50.5-64.8)109.7 (88.1-134.6)
Female40.2 (36.7-44.9)65.5 (59.7-72.3)28.0 (24.6-33.1)53.4 (45.7-64.5)48.6 (44.2-53.3)61.8 (53.1-72.2)76.1 (61.1-91.4)94.8 (75.5-108.3)

Univariate analysis revealed that certain variables were statistically significantly associated with shorter DSS for all tumor subsites: nonmarried status, later stage, higher histologic grade, and lack of treatment with radiotherapy or chemotherapy (data not shown). In multivariate analysis, older age, earlier year of diagnosis, lower SES, and more advanced stage at diagnosis were significantly associated with elevated risk of disease-specific mortality (and, therefore, shorter DSS) for each tumor site (Table 3). Compared with women, men had a higher risk of death from HP/LX, but not other tumor sites. Being never married or separated, widowed, or divorced was associated with significantly higher risk of death from OC, OP, and HP/LX. In addition, having been reported to the cancer registry (and, in most cases, diagnosed) by a university teaching hospital was associated with better DSS for OC (HR, 1.11; 95% CI, 1.02-1.21) and OP (HR, 1.10; 95% CI, 1.00-1.22). Characteristics not statistically significantly associated with the outcome are not presented in Table 3.

Table 3. Multivariate Hazards Ratios (HR) With 95% Confidence Intervals (CI) for Associations With Disease-Specific Survival After Head and Neck Cancer Diagnosis in California, 1988 to 2007a
CharacteristicHazards Ratio* (95% Confidence Interval)
OralOropharynxHypopharynx/LarynxNasopharynx
  • a

    Estimates are mutually adjusted for all characteristics shown in the table for each tumor site.

Age (years)
 <501.00 (reference)1.00 (reference)1.00 (reference)1.00 (reference)
 50-590.97 (0.87–1.08)1.28 (1.15-1.42)1.10 (0.99-1.22)1.44 (1.25-1.66)
 60-691.02 (0.92-1.13)1.59 (1.44-1.76)1.33 (1.20-1.48)1.76 (1.52-2.05)
 70+1.45 (1.32-1.60)2.26 (2.09-2.51)1.79 (1.61-1.99)2.71 (2.31-3.19)
Sex
 Female1.00 (reference)1.00 (reference)1.00 (reference)1.00 (reference)
 Male1.02 (0.96-1.09)0.91 (0.85-0.98)1.13 (1.05-1.21)1.11 (0.98-1.25)
Year of diagnosis
 1988-19911.00 (reference)1.00 (reference)1.00 (reference)1.00 (reference)
 1992-19950.91 (0.84-1.00)0.91 (0.83-0.99)0.97 (0.90-1.05)0.88 (0.75-1.03)
 1996-19990.90 (0.82-0.98)0.74 (0.68-0.81)0.90 (0.83-0.98)0.74 (0.63-0.88)
 2000-20030.92 (0.84-1.01)0.65 (0.59-0.71)0.91 (0.84-1.00)0.75 (0.63-0.88)
 2004-20070.84 (0.76-0.94)0.52 (0.47-0.58)0.78 (0.71-0.86)0.55 (0.45-0.66)
Race
 Non-Hispanic white1.00 (reference)1.00 (reference)1.00 (reference)1.00 (reference)
 Asian/Pacific Islander1.09 (0.96-1.23)0.97 (0.82-1.14)0.90 (0.79-1.03)0.90 (0.79-1.02)
Marital status
 Married1.00 (reference)1.00 (reference)1.00 (reference)
 Never married1.22 (1.12-1.34)1.37 (1.26-1.50)1.50 (1.39-1.62)
 Separated/widowed/divorced1.23 (1.15-1.32)1.37 (1.27-1.47)1.45 (1.36-1.55)
 Unknown0.91 (0.78-1.06)1.05 (0.89-1.24)1.26 (1.08-1.48)
Neighborhood socioeconomic status (SES)
 High SES (statewide quintiles 4-5)1.00 (reference)1.00 (reference)1.00 (reference)1.00 (reference)
 Low SES (statewide quintiles 1-3)1.07 (1.01-1.14)1.34 (1.25-1.43)1.22 (1.15-1.29)1.31 (1.18-1.47)
University teaching hospital
 Yes1.00 (reference)1.00 (reference)
 No1.11 (1.02-1.21)1.10 (1.00-1.22)
Summary stage at diagnosis
 Localized1.00 (reference)1.00 (reference)1.00 (reference)1.00 (reference)
 Regional2.19 (2.04-2.36)1.80 (1.61-2.01)4.03 (3.75-4.32)2.05 (1.64-2.56)
 Remote3.29 (2.97-3.65)4.46 (3.94-5.06)5.79 (5.34-6.28)3.79 (3.01-4.76)
 Unknown2.23 (1.98-2.52)1.95 (1.68-2.26)1.00 (0.93-1.09)1.94 (1.49-2.53)
Tumor histologic grade
 Well/moderatelyDifferentiated1.00 (reference)1.00 (reference)1.00 (reference)1.00 (reference)
 Poor/undifferentiated1.23 (1.14-1.32)0.83 (0.78-0.89)1.18 (1.11-1.26)0.66 (0.55-0.79)
 Unknown0.84 (0.76-0.92)0.93 (1.74-2.01)1.00 (0.93-1.09)0.67 (0.54-0.81)
Surgery
 Yes1.00 (reference)1.00 (reference)1.00 (reference)
 No/unknown2.39 (2.23-2.56)1.87 (1.74-2.01)1.82 (1.71-1.93)
Radiotherapy
 Yes1.00 (reference)1.00 (reference)1.00 (reference)
 No/unknown1.86 (1.72-2.00)1.61 (1.51-1.71)2.05 (1.76-2.38)
Chemotherapy
 Yes1.00 (reference)1.00 (reference)1.00 (reference)
 No0.84 (0.77-0.92)1.15 (1.07-1.23)0.96 (0.89-1.03)
 Unknown1.64 (1.30-2.06)1.33 (1.06-1.67)1.28 (1.02-1.61)

The SES disparity in DSS comparing the lower to the higher neighborhood SES group was largest for patients with OP (HR, 1.34; 95% CI, 1.25-1.43) and NPC (HR, 1.31; 95% CI, 1.18-1.47). In multivariate models for OS, neighborhood SES was also an important prognostic factor: lower SES was associated with an HR of 1.13 (95% CI, 1.09-1.18) for OC; HR, 1.37 (95% CI, 1.31-1.43) for OP; HR, 1.19 (95% CI, 1.15-1.23) for HP/LX; and HR, 1.28 (95% CI, 1.17-1.40) for NPC.

Role of SES in APIs

In API, the median follow-up time was 22.9 months for deceased patients and 79.7 months for living patients. Table 4 shows the median DSS for each primary HNC tumor site among APIs. Similar to the results noted for the non-Hispanic whites and APIs combined, lower neighborhood SES was associated with shorter DSS for male APIs with each type of HNC. There was also a trend toward longer DSS among higher-SES compared with lower-SES female API patients with OC or OP cancer, but the number of females with HNC was too small to make any definitive conclusions.

Table 4. Median Survival (in Months, With 95% Confidence Intervals) in Asians and Pacific Islandersa
Neighborhood SES (Statewide Quintiles)Oral CavityOropharynxLarynx/HypopharynxNasopharynx
Low (1-3) N = 506High (4-5) N = 514Low (1-3) N = 312High (4-5) N = 261Low (1-3) N = 531High (4-5) N = 374Low (1-3) N = 1180High (4-5) N = 1033
  • a

    indicates not estimable.

  • **

    Diagnosed with head and neck cancer in the California Cancer Registry between 1988 and 2007, based on tumor site and neighborhood socioeconomic status.

Overall40.9 (29.4-59.2)91.0 (75.2-119.0)38.8 (24.6-59.2)101.7 (60.2-153.7)59.3 (47.2-80.8)119.1 (99.1-152.7)83.1 (74.2-94.9)148.4 (114.7-184.2)
Male32.5 (24.2-49.3)77.2 (56.9-107.1)31.5 (22.0-56.2)89.4 (52.4-153.7)58.3 (44.4-79.3)118.7 (98.9-150.8)70.6 (57.6-82.5)148.6 (110.9-184.9)
Female59.4 (31.5-140.7)116.4 (81.6-171.9)75.8 (24.6-**)126.3 (58.3-**)89.1 (30.5-129.2)**145.7 (100.7-**)126.8 (98.6-**)

Figure 2a,b shows the Kaplan-Meier curves for DSS and OS by neighborhood SES among API patients with OC, OP, and HP/LX tumors combined, with significantly shorter survival among patients with lower SES. To ensure that our results were not due only to the grouping of SES quintiles, we also generated the Kaplan-Meier curves for DSS among API patients with OC, OP, and HP/LX tumors combined, stratified by each quintile of neighborhood SES. As illustrated in Figure 2c, DSS increased gradually with each additional SES quintile, except for the transition from quintile 1 to 2.

Figure 2.

(a) Disease specific Survival (DSS) in Asians and Pacific Islanders (API) diagnosed with OC, OPC, and LX/HPC by high (quintiles 4-5) and low (Quintiles 1-3) neighborhood socioeconomic status in California between 1988 and 2007. (b) Combined overall survival (OS) in API diagnosed with OC, OPC, and LX/HPC based on socioeconomic quintiles in California between 1988 and 2007. (c) Disease specific survival in Asian Pacific Islanders diagnosed with OC, OPC, or LX/HPC based on each socioeconomic quintile in California, 1988 to 2007.

Table 5 shows the results of the multivariate analysis for DSS in API patients with HNC. Lower neighborhood SES continued to be significantly associated with shorter DSS (HR, 1.26; 95% CI, 1.08-1.48) after adjusting for age, sex, year of diagnosis, marital status, stage, histologic tumor grade, and treatment. Other factors associated with significantly shorter DSS on multivariate analysis were older age at diagnosis, more advanced disease stage, and lack of surgical intervention (Table 5). Lower neighborhood SES was also associated with shorter OS after HNC among APIs, with a multivariate adjusted HR of 1.30 (95% CI, 1.16-1.45).

Table 5. Multivariate Hazards Ratios (HR) With 95% Confidence Intervals (CI) for Associations With Disease-Specific Survival After Head and Neck Cancer Diagnosis Among Asians and Pacific Islanders in California, 1988 to 2007a
CharacteristicHazard Ratio* (95% Confidence Interval)
  • a

    Estimates are mutually adjusted for all characteristics shown in the table.

Age (years)
 <501.00 (reference)
 50-590.99 (0.74-1.34)
 60-691.27 (0.98-1.66)
 70+1.86 (1.45-2.39)
Sex
 Female1.00 (reference)
 Male0.99 (0.83-1.19)
Year of diagnosis
 1988-19911.00 (reference)
 1992-19950.84 (0.62-1.08)
 1996-19990.89 (0.70-1.14)
 2000-20030.83 (0.65-1.06)
 2004-20070.92 (0.71-1.20)
Marital status
 Married1.00 (reference)
 Never married1.24 (0.96-1.61)
 Separated/widowed/divorced1.09 (0.89-1.34)
 Unknown0.83 (0.49-1.40)
Neighborhood socioeconomic status (SES)
 High SES (Statewide quintiles 4-5)1.00 (reference)
 Low SES (Statewide quintiles 1-3)1.26 (1.08-1.48)
Summary stage at diagnosis
 Localized1.00 (reference)
 Regional2.94 (2.39-3.60)
 Remote4.82 (3.78-6.15)
 Unknown3.13 (2.25-4.34)
Tumor histologic grade
 Well/moderately Differentiated1.00 (reference)
 Poor/undifferentiated1.02 (0.86-1.22)
 Unknown0.81 (0.64-1.02)
Surgery
 Yes1.00 (reference)
 No/unknown1.63 (1.37-1.93)
Chemotherapy
 Yes1.00 (reference)
 No1.12 (0.92-1.37)
 Unknown1.76 (0.89-3.45)

DISCUSSION

Our results from a large, population-based, state cancer registry show that lower neighborhood-level SES is an independent negative prognostic factor among API patients diagnosed with HNC. Among APIs, living in a lower-SES neighborhood was associated with a 26% increased risk of HNC-specific death and a 30% increased risk of overall death, independent of age, year of diagnosis, tumor stage, treatment, and other factors. This difference in survival is much larger than that observed for the survival benefit of chemotherapy when added to radiation therapy for these cancers. More importantly, SES remained a significant prognostic factor for HNC after adjusting for other patient and disease-related characteristics. These results suggest that a research strategy that aims to identify and ameliorate the underlying causes of SES disparities will effectively improve the overall survival results in API patients with HNC.

While SES has been shown to significantly impact survival in more common cancers such as breast, prostate, and lung,27-31 its role in HNC-specific survival is less well studied, particularly within specific racial/ethnic groups. Most of the prior reports analyzed the impact of SES among all racial/ethnic groups, and not specifically in individual racial/ethnic groups. The few reports that have focused on SES and HNC survival focused primarily on African Americans.19-21 Molina et al found in a large, population-based dataset in Florida that lower patient-level SES and African-American race are both significantly associated with worse survival for patients with HNC, independently of other demographics, comorbidities, clinical characteristics, and treatment modality.19 Ours is the first study, to our knowledge, to document the association with SES in the large and rapidly growing API population.

A Danish population-based study, which used various factors including education, social class, housing district and world market affiliation to determine SES, demonstrated that survival from mouth, pharynx, and larynx cancers was shorter with lower SES, especially in men.14 Similarly, a population-based study of larynx cancer in Wales showed a large survival disparity between affluent and poor males, with a 17% absolute difference in 5-year survival between the groups.32 In the United States, both poorer health care insurance status (Medicaid dependent or uninsured patients) and living in an area with 15% of residents below the poverty line conferred a poorer outcome with HNC.11, 19 Such findings in predominantly non-Hispanic white patient populations indicate that the impact of SES is an independent predictor of HNC survival that cannot be ignored.

Despite the fact that API overall have some of the lowest mortality rates for HNC in comparison to other ethnic groups,33 our data still show that SES is a significant prognostic factor for HNC-specific survival within the API group and the role of SES in this group cannot be ignored. In our own previous work among California APIs25 and in other studies, SES has also been associated with HNC incidence. A study based in the Thames Cancer Registry noted a significantly higher incidence of OC and pharynx cancers in English South Asians who lived in lower-SES compared with higher-SES neighborhoods.34 A recent meta-analysis of 41 studies, which included 15,344 cases and 33,852 controls, found that the odds ratio for developing OC cancer was 1.85 for those with lower education levels, 1.84 for those with lower occupational/social class and 2.41 for those with lower income, when compared with those in the highest SES strata.35 This association was universal in both high- and low-income countries, and remained significant after adjusting for other potential confounders. These results and our current findings suggest that the relationship between SES and HNC development and prognosis is independent of ethnicity and should be explicitly recognized in future effort for prevention, early detection and treatment of HNC among all patients, including APIs.

Although our data are consistent with previous reports regarding the association between SES and survival in HNC, our results should be interpreted with some limitations in mind. While we had data on patients' neighborhood-level SES based on residential address at diagnosis, we did not have information on individual-level measures of SES, such as education and income. While neighborhood-level and individual-level SES are correlated, the 2 groups of measures capture different types of exposures that may be independently associated with health outcomes.36, 37 For example, neighborhood-level measures of SES capture both aspects of individuals within the neighborhood as well as characteristics of the neighborhood itself. Interestingly, both individual-level and neighborhood-level SES measures have been shown to impact the development of HNC, as Conway et al noted that the risk of developing HNC was significantly higher in patients who were unemployed (OR, 2.27; 95% CI, 1.21-4.26) and lived in deprived areas (OR, 4.66; 95% CI, 1.79-12.18), although these associations were largely explained by smoking and alcohol consumption.12

Other limitations of our study, as in any other registry-based studies, are the lack of detailed information on tumor stage, treatment, pattern of relapse, and other risk factors that may impact HNC survival, such as comorbidities, tobacco and alcohol consumption, and tumor human papillomavirus or Epstein-Barr virus status. In particular, there is literature supporting that a substantial cause of SES disparity is from tobacco use. In 1 Australian study, low education (below or up to primary school) negatively impacted survival from all causes (HR, 1.36; 95% CI, 1.12-1.65). But once smoking was taken into account, the effect of low education decreased to 1.22 (95% CI, 1.01-1.49).38 Another study from the UK looking at cancer mortality specifically demonstrates that once smoking was accounted for in the model, the effect of low SES on cancer specific mortality was no longer significant.39 Similar to these studies, it is possible that the negative impact on DSS in API based on low SES is at least partly related to tobacco consumption. However, our registry sample size was incomparably large for our population and highly enriched for API, making the CCR 1 of the unique databases available to specifically address the role of SES in HNC survival among API in the United States.

In summary, we found that neighborhood-level SES is significantly associated with DSS and OS among the large and growing API population living in California. This association may reflect a lack of preventative care in the lower-SES populations, as well as barriers to healthcare that may delay treatment after diagnosis. We believe that future studies on HNC management should control for the disparity in SES. More importantly, future education efforts on HNC risk and management should target lower-SES patients in to improve the overall outcome of this debilitating cancer.

Acknowledgements

We thank Kari Fish for her assistance in some of the data analysis.

CONFLICT OF INTEREST DISCLOSURES

This research was also supported by a Stanford Cancer Center Developmental Cancer Research Award in Population Sciences. The collection of cancer incidence data used in this study was supported by the California Department of Health Services as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885; the National Cancer Institute's Surveillance, Epidemiology, and End Results Program under contract N01-PC-35136 awarded to the Cancer Prevention Institute of California (formerly the Northern California Cancer Center), and contract N02-PC-15105 awarded to the Public Health Institute; and the Centers for Disease Control and Prevention's National Program of Cancer Registries, under agreement #U55/CCR921930-02 awarded to the Public Health Institute.

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