The effect of neighborhood-level socioeconomic status on racial differences in ovarian cancer treatment in a population-based analysis in Chicago

Genomic Characterization of High-Grade Serous Ovarian Carcinoma Reveals Distinct Somatic Features in Black Individuals

Black individuals experience worse survival after a diagnosis of high-grade serous ovarian carcinoma (HGSC) than White individuals and are underrepresented in ovarian cancer research. To date, the understanding of the molecular and genomic heterogeneity of HGSC is based primarily on the evaluation of tumors from White individuals. In the present study, we performed whole-exome sequencing on HGSC samples from 211 Black patients to identify significantly mutated genes and characterize mutational signatures, assessing their distributions by gene expression subtypes. The occurrence and frequency of somatic mutations and signatures by self-reported race were compared with historic data from The Cancer Genome Atlas (TCGA). Despite technical differences (e.g., formalin-fixed vs. fresh-frozen tissue), the distribution of mutations and their variant classifications for major HGSC genes were nearly identical across study populations. However, de novo significantly mutated gene analysis identified genes not previously reported in TCGA analysis, including the oncogene KRAS and the potential tumor suppressor OBSCN. The prevalence of the homologous recombination deficiency signature was higher among Black individuals with the immunoreactive gene expression subtype compared with the mesenchymal and proliferative subtypes. These findings were confirmed by comparing the data from Black patients with those from 123 White patients with identical tissue collection and processing. Overall, this study suggests that, although most features of HGSC tumor phenotypes are similar in Black and White populations, there may be clinically relevant differences. If validated, these phenotypes may be important for clinical decision-making and would have been missed by characterizing tumors from White individuals only. Significance: Elucidation of the somatic mutational landscape of high-grade serous ovarian carcinoma in Black individuals, who experience poor survival and are underrepresented in research, could inform patient prognosis and enable precision medicine opportunities.

Elucidating the influences of social determinants of health on perceived overall health among African American/Black and Hispanic ovarian cancer survivors using the NIH All of Us Research Program

OBJECTIVES

To evaluate the influences of social determinants of health (SDOH) on perceived health and well-being among African American (AA)/Black and Hispanic ovarian cancer survivors.

METHODS

A cross-sectional study was conducted using overall health and SDOH survey data collected by the National Institutes of Health All of Us Research Program from May 2017 to September 2023.

RESULTS

While 1250 enrolled participants with ovarian cancer met the inclusion criteria, 414 (33%) completed SDOH surveys: 29 (7%) AA/Black, 33 (8%) Hispanic, and 352 (85%) White. In the ordinal logistic regression models, for every unit increase in the SDOH neighborhood characteristics score, the odds of having a poor perception of general health decreased by 0.96 times. For every unit increase in the SDOH day-to-day discrimination score, the odds of having a poor perception of general health, general mental health, social satisfaction decreased by 0.95, 0.94 and 0.93 times respectively. For every unit increase in the SDOH food and housing security score, the odds of having a poor perception of general health decreased by 0.57 times. Compared to White ovarian cancer survivors, AA/Black and Hispanic ovarian cancer survivors were significantly more likely to have a poor perception of general health, general mental health, and social satisfaction even when adjusting for these SDOH.

CONCLUSIONS

Unfavorable SDOH conditions negatively influence the overall perception of health. These findings signal an urgency for healthcare professionals and scientists to partner together with local communities in designing feasible and imaginative interventions to overcome cancer care disparities in an equitable manner.

The effect of urban racial residential segregation on ovarian cancer diagnosis, treatment, and survival

OBJECTIVE

To investigate the effect of racial residential segregation on disparities between Black and White patients in stage at diagnosis, receipt of surgery, and survival.

METHODS

Subjects included Black and White patients diagnosed with ovarian cancer between 2005 and 2015 obtained from the Surveillance, Epidemiology, and End Results Program. Demographic data were obtained from the 2010 decennial census and 2013 American Community Survey. The exposure of interest was the index of dissimilarity (IOD), a validated measure of segregation. The outcomes of interest included relative risk of advanced stage at diagnosis and surgery for localized disease, 5-year overall and cancer-specific survival.

RESULTS

Black women were more likely to present with Stage IV ovarian cancer when compared to White (32% vs 25%, p < 0.001) and less often underwent surgical resection overall (64% vs 75%, p < 0.001). Increasing IOD was associated with a 25% increased risk of presenting at advanced stage for Black patients (RR 1.25, 95% CI 1.08, 1.45), and a 15% decrease for White patients (RR 0.85, 95% CI 0.73, 0.99). Increasing IOD was associated with an 18% decreased likelihood of undergoing surgical resection for black patients (RR 0.82, 95% CI 0.77, 0.87), but had no significant association for White patients (RR 1.01, 95% CI 0.96, 1.08). When compared to White patients in the lowest level of segregation, Black patients in the highest level of segregation had a 17% higher subhazard of death (HR 1.17, 95% CI 1.07, 1.27), while Black patients in the lowest level of segregation had no significant difference (HR 1.13, 95% CI 0.99, 1.29).

CONCLUSION

Our findings demonstrate the direct harm of historical government mandated segregation on Black women with ovarian cancer.

Impact of the Area of Residence of Ovarian Cancer Patients on Overall Survival

Survival disparities persist in ovarian cancer and may be linked to the environments in which patients live. The main objective of this study was to analyze the global impact of the area of residence of ovarian cancer patients on overall survival. The data were obtained from the Surveillance, Epidemiology and End Results (SEER) database. We included all the patients with epithelial ovarian cancers diagnosed between 2010 and 2016. The areas of residence were analyzed by the hierarchical clustering of the principal components to group similar counties. A multivariable Cox proportional hazards model was then fitted to evaluate the independent effect of each predictor on overall survival. We included a total of 16,806 patients. The clustering algorithm assigned the 607 counties to four clusters, with cluster 1 being the most disadvantaged and cluster 4 having the highest socioeconomic status and best access to care. The area of residence cluster remained a statistically significant independent predictor of overall survival in the multivariable analysis. The patients living in cluster 1 had a risk of death more than 25% higher than that of the patients living in cluster 4. This study highlights the importance of considering the sociodemographic factors within the patient's area of residence when developing a care plan and follow-up.

Systematic review of neighborhood socioeconomic indices studied across the cancer control continuum

BACKGROUND

There is extensive interest in understanding how neighborhood socioeconomic status (nSES) may affect cancer incidence or survival. However, variability regarding items included and approaches used to form a composite nSES index presents challenges in summarizing overall associations with cancer. Given recent calls for standardized measures of neighborhood sociodemographic effects in cancer disparity research, the objective of this systematic review was to identify and compare existing nSES indices studied across the cancer continuum (incidence, screening, diagnosis, treatment, survival/mortality) and summarize associations by race/ethnicity and cancer site to inform future cancer disparity studies.

METHODS

Using PRISMA guidelines, peer-reviewed articles published between 2010 and 2019 containing keywords related to nSES and cancer were identified in PubMed.

RESULTS

Twenty-four nSES indices were identified from 75 studies. In general, findings indicated a significant association between nSES and cancer outcomes (n = 64/75 studies; 85.33%), with 42/64 (65.63%) adjusting for highly-correlated individual SES factors (e.g., education). However, the direction of association differed by cancer site, race/ethnicity, and nSES index.

CONCLUSIONS

This review highlights several methodologic and conceptual issues surrounding nSES measurement and potential associations with cancer disparities. Recommendations pertaining to the selection of nSES measures are provided, which may help inform disparity-related disease processes and improve the identification of vulnerable populations in need of intervention.

Disparities in the Management of Peritoneal Surface Malignancies

Peritoneal surface malignancies are a group of aggressive cancers involving the peritoneum. Cytoreductive surgery and hyperthermic intraperitoneal chemotherapy can improve outcomes and survival in select patients. Despite significant advancements in care, racial disparities in peritoneal malignancy outcomes persist and may have even worsened over time. Poor adherence to guideline-recommended therapy introduces wide variability in patient care and often results in fewer options and suboptimal treatment of vulnerable populations. This review explores biological, sociodemographic, and environmental factors that contribute to disparities in peritoneal malignancy outcomes.

Increasing Area Deprivation Index negatively impacts ovarian cancer survival

INTRODUCTION

While individual-level measures of socioeconomic status have been well-studied in relation to ovarian cancer survival, no studies to date have examined both state and national-level Area Deprivation Indices (ADIs), which incorporate neighborhood affluence and resources.

METHODS

We abstracted clinical data from medical records for ovarian cancer cases from the Vanderbilt University Medical Center and obtained ADIs from the Neighborhood Atlas®. Associations with clinical characteristics were assessed with Spearman correlations and Kruskal-Wallis tests; associations with progression-free survival (PFS) and overall survival (OS) were assessed with Cox proportional-hazards regression.

RESULTS

Among 184 cases, state and national ADIs were highly correlated, but not related to any cancer characteristics. In multivariable adjusted regression models, both were significantly associated with OS; each decile increase in state or national ADI corresponded to a 9 % or 10 % greater risk of death, respectively.

CONCLUSIONS

Increasing area-level deprivation may negatively impact ovarian cancer survival.

Residential segregation and overall survival of women with epithelial ovarian cancer

BACKGROUND

To the authors' knowledge, the etiology of survival disparities in patients with epithelial ovarian cancer (EOC) is not fully understood. Residential segregation, both economic and racial, remains a problem within the United States. The objective of the current study was to analyze the effect of residential segregation as measured by the Index of Concentration at the Extremes (ICE) on EOC survival in Florida by race and/or ethnicity.

METHODS

All malignant EOC cases were identified from 2001 through 2015 using the Florida Cancer Data System (FCDS). Census-defined places were used as proxies for neighborhoods. Using 5-year estimates from the American Community Survey, 5 ICE variables were computed: economic (high vs low), race and/or ethnicity (non-Hispanic white [NHW] vs non-Hispanic black [NHB] and NHW vs Hispanic), and racialized economic segregation (low-income NHB vs high-income NHW and low-income Hispanic vs high-income NHW). Random effects frailty models were conducted.

RESULTS

A total of 16,431 malignant EOC cases were diagnosed in Florida among women living in an assigned census-defined place within the time period. The authors found that economic and racialized economic residential segregations influenced EOC survival more than race and/or ethnic segregation alone in both NHB and Hispanic women. NHB women continued to have an increased hazard of death compared with NHW women after controlling for multiple covariates, whereas Hispanic women were found to have either a similar or decreased hazard of death compared with NHW women in multivariable Cox models.

CONCLUSIONS

The results of the current study indicated that racial and economic residential segregation influences survival among patients with EOC. Research is needed to develop more robust segregation measures that capture the complexities of neighborhoods to fully understand the survival disparities in EOC.

Race, Socioeconomic Status, and Health-Care Access Disparities in Ovarian Cancer Treatment and Mortality: Systematic Review and Meta-Analysis

Background

Ovarian cancer remains a leading cause of death from gynecological malignancies. Race, socioeconomic status (SES), and access to health care are important predictors of quality treatment and survival. We provide a systematic review and meta-analysis on the role of these predictors on disparities in ovarian cancer treatment and mortality.

Methods

Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched PubMed, EMBASE, and Scopus for relevant articles published between January 2000 and March 2017. We selected studies published in the United States that evaluated the role of race, SES, or health-care access on disparities in ovarian cancer treatment or survival. Pooled relative risk (RR) and 95% confidence intervals (CIs) were calculated for each outcome using a random-effects model.

Results

A total of 41 studies met the inclusion criteria for systematic review. In meta-analysis, there was a 25% decrease (RR = 0.75, 95% CI = 0.66 to 0.84) in receipt of adherent ovarian cancer treatment and 18% increased risk (RR = 1.18, 95% CI = 1.11 to 1.26) of mortality for blacks compared to whites. Receipt of adherent ovarian cancer treatment was 15% lower (RR = 0.85, 95% CI = 0.77 to 0.94) in the lowest vs highest SES group and 30% lower (RR = 0.70, 95% CI = 0.58 to 0.85) among patients at lower vs higher hospital volumes.

Conclusion

We found consistent and strong evidence for continued lack of quality ovarian cancer treatment and higher mortality among ovarian cancer patients who are black, are of low SES, and/or have poor access to care. Interventions focused on these groups targeting specific barriers to care are needed to reduce disparities in ovarian cancer treatment and mortality.

Treatment patterns and associated factors in patients with advanced epithelial ovarian cancer: a population-based study

OBJECTIVES

A significant proportion of women with advanced-stage ovarian cancer receive no cancer-directed treatment and limited research has been devoted to this group. This population-based study aimed to gain insight into treatment patterns and trends in patients with advanced epithelial ovarian cancer in the Netherlands and the main reasons for deciding for no cancer-directed treatment.

METHODS

All patients diagnosed with advanced epithelial ovarian cancer, International Federation of Gynecology and Obstetrics (FIGO) classification IIB-IV, between 2008 and 2016 were identified from the Netherlands Cancer Registry. Trends in the number of patients receiving cancer-directed treatment were analyzed. Multivariable logistic regression analysis was used to identify factors associated with no cancer-directed treatment. The main reasons for no cancer-directed treatment were analyzed.

RESULTS

A total of 9303 patients were included, of whom 14% (n=1270) received no cancer-directed treatment while 67% (n=6218) received a combination of cytoreductive surgery and chemotherapy. Some 15% (n=1399) received chemotherapy only, and 4.5% (n=416) surgical resection or hormonal therapy only. The proportion of patients receiving no cancer-directed treatment was higher in 2014-2016 (16%, n=496/3175) compared with 2008-2010 (11%, n=349/3057, p<0.001). Associated factors with no cancer-directed treatment were higher age, FIGO stage IV, lower socioeconomic status, co-morbidity, and more recent years of diagnosis (p<0.001). Main reasons for no cancer-directed treatment were patient's choice (40%) and poor condition of the patient (29%).

CONCLUSIONS

The proportion of patients with advanced epithelial ovarian cancer not receiving cancer-directed treatment has increased in the last decade in the Netherlands. Patient's choice was the main reason for the decision to undergo no cancer-directed treatment, which indicates patient involvement in the decision-making process. The second most common reason for no cancer-directed treatment was poor condition of the patient, which might indicate careful selection of patients for treatment. Decision-making regarding treatment is well-considered, but more insight is needed, especially from the patient's perspective.

Contextual effects and cancer outcomes in the United States: a systematic review of characteristics in multilevel analyses

PURPOSE

There is increasing call for the utilization of multilevel modeling to explore the relationship between place-based contextual effects and cancer outcomes in the United States. To gain a better understanding of how contextual factors are being considered, we performed a systematic review.

METHODS

We reviewed studies published between January 1, 2002 and December 31, 2016 and assessed the following attributes: (1) contextual considerations such as geographic scale and contextual factors used; (2) methods used to quantify contextual factors; and (3) cancer type and outcomes. We searched PubMed, Scopus, and Web of Science and initially identified 1060 studies. One hundred twenty-two studies remained after exclusions.

RESULTS

Most studies utilized a two-level structure; census tracts were the most commonly used geographic scale. Socioeconomic factors, health care access, racial/ethnic factors, and rural-urban status were the most common contextual factors addressed in multilevel models. Breast and colorectal cancers were the most common cancer types, and screening and staging were the most common outcomes assessed in these studies.

CONCLUSIONS

Opportunities for future research include deriving contextual factors using more rigorous approaches, considering cross-classified structures and cross-level interactions, and using multilevel modeling to explore understudied cancers and outcomes.

Patient-centered research priorities in ovarian cancer: A systematic review of potential determinants of guideline care

OBJECTIVE

To (a) determine what is known about the individual and contextual factors that may influence whether a woman with ovarian cancer receives guideline care, and (b) identify patient-centered research priorities in ovarian cancer.

METHODS

A systematic review of the PubMed, MEDLINE, CINAHL Complete, and PsycInfo online databases. Eligible articles were published in English, described original research, and either (a) identified factors associated with the receipt of guideline care for ovarian cancer, or (b) described treatment decision making by women with ovarian cancer. Studies were excluded in which women with ovarian cancer did not comprise the entire sample of patient participants. Data were collected in accordance with Garrard's Matrix Method. Study quality was evaluated using the QualSyst tool for evaluating primary research papers. Relevant study findings were imported into NVivo Pro 11 for qualitative synthesis.

RESULTS

The search strategy yielded 502 unique citations, of which 78 full-text articles were reviewed. Thirty-three articles met the criteria for inclusion. Study quality was high overall. Factors associated with the receipt of guideline care included race and ethnicity, socioeconomic status, insurance type, age, comorbidity, disease stage, tumor characteristics, hospital volume, hospital type, physician volume, and geographic location. Influences on treatment decision making among women with ovarian cancer included the desire to prolong survival, the patient-provider relationship, perceived ability to participate in the treatment decision, values and preferences, information needs, side effects, cost of care, and past experiences with chemotherapy.

CONCLUSIONS

There is a need for further research that examines ovarian cancer treatment decision making from the perspective of the patient. Priority topics for future research may include the experiences of diverse women receiving treatment for ovarian cancer and the role of shared decision making with providers, referral networks, and practice patterns in the delivery of guideline care.

Racial health disparities in ovarian cancer: not just black and white

Ovarian cancer (OC) is the most lethal gynecological malignancy, which disproportionately affects African American (AA) women. Lack of awareness and socioeconomic factors are considered important players in OC racial health disparity, while at the same time, some recent studies have brought focus on the genetic basis of disparity as well. Differential polymorphisms, mutations and expressions of genes have been reported in OC patients of diverse racial and ethnic backgrounds. Combined, it appears that neither genetic nor the socioeconomic factors alone might explain the observed racially disparate health outcomes among OC patients. Rather, a more logical explanation would be the one that takes into consideration the combination and/or the interplay of these factors, perhaps even including some environmental ones. Hence, in this article, we attempt to review the available information on OC racial health disparity, and provide an overview of socioeconomic, environmental and genetic factors, as well as the epigenetic changes that can act as a liaison between the three. A better understanding of these underlying causes will help further research on effective cancer management among diverse patient population and ultimately narrow health disparity gaps.

Unraveling the etiology of ovarian cancer racial disparity in the deep south: Is it nature or nurture?

BACKGROUND

Our objective was to evaluate racial treatment and survival disparities in black women with ovarian cancer in the Deep South and to determine how environmental factors / socioeconomic status (SES) influence survival.

METHODS

A retrospective study of ovarian cancer patients from 2007 to 2014 was performed. Socioeconomic status (SES) was obtained though U.S. Census block data and compared using Yost scores. Comparisons were performed using standard statistical approaches.

RESULTS

A total of 393 patients were evaluated, 325 (83%) white and 68 (17%) black. Demographic information and surgical approach were similar in each racial group. However, compared to whites, black patients had lower rates of optimal debulking [89% vs. 71%, respectively (p=0.001)] and intraperitoneal chemotherapy (19% vs. 11%, p=0.01). Black women had lower SES parameters including education, income, and poverty. As a result, more black patients had the lowest SES (SES-1) when compared to white patients (17% vs. 41%, p<0.001). When controlling for these factors by cox regression analysis, a survival disadvantage was seen in black women for both progression free survival (16 vs. 27months, p=0.003) and overall survival (42 vs. 88months, p<0.001).

CONCLUSIONS

Despite controlling for clinical and environmental factors, a survival disadvantage was still observed in black patients with ovarian cancer in the Deep South. Black women had lower optimal debulking rates and more platinum resistant disease. These data suggest other factors like tumor biology may play a role in racial survival differences, however, more research is needed to determine this causation.

Racial disparities in individual breast cancer outcomes by hormone-receptor subtype, area-level socio-economic status and healthcare resources

The aim of the study is to determine the influence of area-level socio-economic status and healthcare access in addition to tumor hormone-receptor subtype on individual breast cancer stage, treatment, and mortality among Non-Hispanic (NH)-Black, NH-White, and Hispanic US adults. Analysis was based on 456,217 breast cancer patients in the SEER database from 2000 to 2010. Multilevel and multivariable-adjusted logistic and Cox proportional hazards regression analysis was conducted to account for clustering by SEER registry of diagnosis. NH-Black women had greater area-level access to healthcare resources compared with women of other races. For instance, the average numbers of oncology hospitals per million population in counties with NH-Black, NH-White, and Hispanic women were 8.1, 7.7, and 5.0 respectively; average numbers of medical doctors per million in counties with NH-Black, NH-White, and Hispanic women were 100.7, 854.0, and 866.3 respectively; and average number of Ob/Gyn in counties with NH-Black, NH-White, and Hispanic women was 155.6, 127.4, and 127.3, respectively (all p values <0.001). Regardless, NH-Black women (HR 1.39, 95 % CI 1.36-1.43) and Hispanic women (HR 1.05, 95 % CI 1.03-1.08) had significantly higher breast cancer mortality compared with NH-White women even after adjusting for hormone-receptor subtype, area-level socio-economic status, and area-level healthcare access. In addition, lower county-level socio-economic status and healthcare access measures were significantly and independently associated with stage at presentation, surgery, and radiation treatment as well as mortality after adjusting for age, race/ethnicity, and HR subtype. Although breast cancer HR subtype is a strong, important, and consistent predictor of breast cancer outcomes, we still observed significant and independent influences of area-level SES and HCA on breast cancer outcomes that deserve further study and may be critical to eliminating breast cancer outcome disparities.

Neighborhood-Based Socioeconomic Position and Risk of Oral Clefts Among Offspring

OBJECTIVES

We determined the association between maternal neighborhood socioeconomic position (SEP) and the risk of cleft lip with or without cleft palate (CL±P) or cleft palate alone (CP) in offspring.

METHODS

We obtained information on CL±P (n = 2555) and CP (n = 1112) cases and unaffected controls (n = 14 735) among infants delivered during 1999 to 2008 from the Texas Birth Defects Registry. Neighborhood SEP variables, drawn from the 2000 US Census, included census tract-level poverty, education, unemployment, occupation, housing, and crowding, from which we created a composite neighborhood deprivation index (NDI). We used mixed-effects logistic regression to evaluate neighborhood SEP and oral clefts.

RESULTS

Mothers with CL±P-affected offspring were more likely to live in high-NDI (adverse) areas than mothers with unaffected offspring (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.05, 1.37). This association was strongest among Hispanic mothers (OR = 1.32, 95% CI = 1.07, 1.62). No associations were observed with CP.

CONCLUSIONS

Using data from one of the world's largest active surveillance birth defects registries, we found that adverse neighborhood SEP is modestly associated with CL±P, especially among Hispanics. These findings may have important implications for health disparities prevention.

The influence of neighborhood socioeconomic status and race on survival from ovarian cancer: a population-based analysis of Cook County, Illinois

PURPOSE

Despite significant improvements in treatment for ovarian cancer, survival is poorer for non-Hispanic black (NHB) women compared to non-Hispanic white (NHW) women. Neighborhood socioeconomic status (SES) has been implicated in racial disparities across a variety of health outcomes and may similarly contribute to racial disparities in ovarian cancer survival. The purpose of this analysis is to assess the influence of neighborhood SES on NHB-NHW survival differences after accounting for differences in tumor characteristics and in treatment.

METHODS

Data were obtained from 2432 women (443 NHB and 1989 NHW) diagnosed with epithelial ovarian cancer in Cook County, Illinois between 1998 and 2007. Neighborhood (i.e., census tract) SES at the time of diagnosis was calculated for each woman using two well-established composite measures of affluence and disadvantage. Cox proportional hazard models measured the association between NHB race and survival after adjusting for age, tumor characteristics, treatment, year of diagnosis, and neighborhood SES.

RESULTS

There was a strong association between ovarian cancer survival and both measures of neighborhood SES (P < .0001 for both affluence and disadvantage). After adjusting for age, tumor characteristics, treatment, and year of diagnosis, NHB were more likely than NHW to die of ovarian cancer (hazard ratio [HR] = 1.47, 95% confidence interval [CI]: 1.28-1.68). The inclusion of neighborhood affluence and disadvantage into models separately and together attenuated this risk (HRaffluence = 1.37, 95% CI: 1.18-1.58; HRdisadvantage = 1.28, 95% CI: 1.08-1.52; and HRaffluence + disadvantage = 1.28, 95% CI: 1.08-1.52.

CONCLUSIONS

Neighborhood SES, as measured by composite measures of affluence and disadvantage, is a predictor of survival in women diagnosed with ovarian cancer in Cook County, Illinois and may contribute to the racial disparity in survival.

The effect of neighborhood disadvantage on the racial disparity in ovarian cancer-specific survival in a large hospital-based study in cook county, illinois

This paper examines the effect of neighborhood disadvantage on racial disparities in ovarian cancer-specific survival. Despite treatment advances for ovarian cancer, survival remains shorter for African-American compared to White women. Neighborhood disadvantage is implicated in racial disparities across a variety of health outcomes and may contribute to racial disparities in ovarian cancer-specific survival. Data were obtained from 581 women (100 African-American and 481 White) diagnosed with epithelial ovarian cancer between June 1, 1994, and December 31, 1998 in Cook County, IL, USA, which includes the city of Chicago. Neighborhood disadvantage score at the time of diagnosis was calculated for each woman based on Browning and Cagney’s index of concentrated disadvantage. Cox proportional hazard models measured the association of self-identified African-American race with ovarian cancer-specific survival after adjusting for age, tumor characteristics, surgical debulking, and neighborhood disadvantage. There was a statistically significant negative association (−0.645) between ovarian cancer-specific survival and neighborhood disadvantage (p = 0.008). After adjusting for age and tumor characteristics, African-American women were more likely than Whites to die of ovarian cancer (HR = 1.59, p = 0.003). After accounting for neighborhood disadvantage, this risk was attenuated (HR = 1.32, p = 0.10). These findings demonstrate that neighborhood disadvantage is associated with ovarian cancer-specific survival and may contribute to the racial disparity in survival.