Racial differences in stage at diagnosis and survival from epithelial ovarian cancer: a fundamental cause of disease approach

Menopausal hormone therapy use and risk of ovarian cancer by race: the ovarian cancer in women of African ancestry consortium

BACKGROUND

Most studies examining post-menopausal menopausal hormone therapy (MHT) use and ovarian cancer risk have focused on White women and few have included Black women.

METHODS

We evaluated MHT use and ovarian cancer risk in Black (n = 800 cases, 1783 controls) and White women (n = 2710 cases, 8556 controls), using data from the Ovarian Cancer in Women of African Ancestry consortium. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of MHT use with ovarian cancer risk, examining histotype, MHT type and duration of use.

RESULTS

Long-term MHT use, ≥10 years, was associated with an increased ovarian cancer risk for White women (OR = 1.38, 95%CI: 1.22-1.57) and the association was consistent for Black women (OR = 1.20, 95%CI: 0.81-1.78, pinteraction = 0.4). For White women, the associations between long-term unopposed estrogen or estrogen plus progesterone use and ovarian cancer risk were similar; the increased risk associated with long-term MHT use was confined to high-grade serous and endometroid tumors. Based on smaller numbers for Black women, the increased ovarian cancer risk associated with long-term MHT use was apparent for unopposed estrogen use and was predominately confined to other epithelial histotypes.

CONCLUSION

The association between long-term MHT use and ovarian cancer risk was consistent for Black and White women.

Racial Disparities in Lung Cancer Stage of Diagnosis Among Adults Living in the Southeastern United States

BACKGROUND

Black Americans receive a diagnosis at later stage of lung cancer more often than White Americans. We undertook a population-based study to identify factors contributing to racial disparities in lung cancer stage of diagnosis among low-income adults.

RESEARCH QUESTION

Which multilevel factors contribute to racial disparities in stage of lung cancer at diagnosis?

STUDY DESIGN AND METHODS

Cases of incident lung cancer from the prospective observational Southern Community Cohort Study were identified by linkage with state cancer registries in 12 southeastern states. Logistic regression shrinkage techniques were implemented to identify individual-level and area-level factors associated with distant stage diagnosis. A subset of participants who responded to psychosocial questions (eg, racial discrimination experiences) were evaluated to determine if model predictive power improved.

RESULTS

We identified 1,572 patients with incident lung cancer with available lung cancer stage (64% self-identified as Black and 36% self-identified as White). Overall, Black participants with lung cancer showed greater unadjusted odds of distant stage diagnosis compared with White participants (OR,1.29; 95% CI, 1.05-1.59). Greater neighborhood area deprivation was associated with distant stage diagnosis (OR, 1.58; 95% CI, 1.19-2.11). After controlling for individual- and area-level factors, no significant difference were found in distant stage disease for Black vs White participants. However, participants with COPD showed lower odds of distant stage diagnosis in the primary model (OR, 0.72; 95% CI, 0.53-0.98). Interesting and complex interactions were observed. The subset analysis model with additional variables for racial discrimination experiences showed slightly greater predictive power than the primary model.

INTERPRETATION

Reducing racial disparities in lung cancer stage at presentation will require interventions on both structural and individual-level factors.

Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium

Black women diagnosed with epithelial ovarian cancer have poorer survival compared to white women. Factors that contribute to this disparity, aside from socioeconomic status and guideline-adherent treatment, have not yet been clearly identified. We examined data from the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium which harmonized data on 1074 Black women and 3263 white women with ovarian cancer from seven US studies. We selected potential mediators and confounders by examining associations between each variable with race and survival. We then conducted a sequential mediation analysis using an imputation method to estimate total, direct, and indirect effects of race on ovarian cancer survival. Black women had worse survival than white women (HR = 1.30; 95% CI 1.16-1.47) during study follow-up; 67.9% of Black women and 69.8% of white women died. In our final model, mediators of this disparity include college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 48.8% (SE = 12.1%) of the overall disparity; histotype/stage and PMH duration accounted for the largest fraction. In summary, nearly half of the disparity in ovarian cancer survival between Black and white women in the OCWAA consortium is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. Our findings suggest that several potentially modifiable factors play a role. Further research to uncover additional mediators, incorporate data on social determinants of health, and identify potential avenues of intervention to reduce this disparity is urgently needed.

Associations of Healthcare Affordability, Availability, and Accessibility with Quality Treatment Metrics in Patients with Ovarian Cancer

BACKGROUND

Differential access to quality care is associated with racial disparities in ovarian cancer survival. Few studies have examined the association of multiple healthcare access (HCA) dimensions with racial disparities in quality treatment metrics, that is, primary debulking surgery performed by a gynecologic oncologist and initiation of guideline-recommended systemic therapy.

METHODS

We analyzed data for patients with ovarian cancer diagnosed from 2008 to 2015 in the Surveillance, Epidemiology, and End Results-Medicare database. We defined HCA dimensions as affordability, availability, and accessibility. Modified Poisson regressions with sandwich error estimation were used to estimate the relative risk (RR) for quality treatment.

RESULTS

The study cohort was 7% NH-Black, 6% Hispanic, and 87% NH-White. Overall, 29% of patients received surgery and 68% initiated systemic therapy. After adjusting for clinical variables, NH-Black patients were less likely to receive surgery [RR, 0.83; 95% confidence interval (CI), 0.70-0.98]; the observed association was attenuated after adjusting for healthcare affordability, accessibility, and availability (RR, 0.91; 95% CI, 0.77-1.08). Dual enrollment in Medicaid and Medicare compared with Medicare only was associated with lower likelihood of receiving surgery (RR, 0.86; 95% CI, 0.76-0.97) and systemic therapy (RR, 0.94; 95% CI, 0.92-0.97). Receiving treatment at a facility in the highest quartile of ovarian cancer surgical volume was associated with higher likelihood of surgery (RR, 1.12; 95% CI, 1.04-1.21).

CONCLUSIONS

Racial differences were observed in ovarian cancer treatment quality and were partly explained by multiple HCA dimensions.

IMPACT

Strategies to mitigate racial disparities in ovarian cancer treatment quality must focus on multiple HCA dimensions. Additional dimensions, acceptability and accommodation, may also be key to addressing disparities.

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.

Association Between Race/Ethnicity and Survival in Women With Advanced Ovarian Cancer

Introduction

Ovarian cancer is the fifth-leading cause of cancer-related mortality in US women. There are survival disparities between non-Hispanic black (NHB) and non-Hispanic white (NHW) women. We assessed if insurance status or extent of disease modified the effect of race/ethnicity on survival for ovarian cancer.

Methods

A historical cohort was assembled using the 2007-2015 National Cancer Institute’s Surveillance, Epidemiology, and End Result (SEER) dataset. Adult NHB and NHW (>18 years) diagnosed with regional and distant ovarian cancer were included. The outcome was five-year cause-specific mortality. Multivariable Cox regression models were fitted, including race by the extent of disease and race by insurance status interaction terms.

Results

For each significant interaction, separate Cox models were fitted. In total 8,043 women were included. The insurance status/race interaction was not statistically significant, but the extent of disease modified the effect of race on survival. NHB survival was lower in regional disease (adjusted hazard ratio (HR) =1.6; 95% confidence interval (CI) 1.1-2.4), while there was no difference in survival between women with distant disease (adjusted HR =1.0; 95%CI 0.9-1.2).

Conclusions

Ovarian cancer mortality is similar between NHB and NHW women with the distant disease but higher in NHB women with regional disease. Further research should clarify whether this difference is due to access to quality cancer treatment or other factors affecting treatment response.

Differences in Sociodemographic Disparities Between Patients Undergoing Surgery for Advanced Colorectal or Ovarian Cancer

BACKGROUND

Cytoreductive surgery (CRS) for ovarian cancer with peritoneal metastases (OPM) is an established treatment, yet access-related racial and socioeconomic disparities are well documented. CRS for colorectal cancer with peritoneal metastases (CRPM) is garnering more widespread acceptance, and it is unknown what disparities exist with regards to access.

METHODS

This retrospective cross-sectional multicenter study analyzed medical records from the National Cancer Database from 2010 to 2015. Patients diagnosed with CRPM or ORP only and either no or confirmed resection were included. Patient- and facility-level characteristics were analyzed using uni- and multivariable logistic regressions to identify associations with receipt of CRS.

RESULTS

A total of 6634 patients diagnosed with CRPM and 14,474 diagnosed with OPM were included in this study. Among patients with CRPM, 18.1% underwent CRS. On multivariable analysis, female gender (odds ratio [95% CI] 2.04 [1.77-2.35]; P < 0.001) and treatment at an academic or research facility (OR 1.55 [1.17-2.05]; P = 0.002) were associated with CRS. Among patients with OPM, 87.1% underwent CRS. On multivariable analysis, treatment at facilities with higher-income patient populations was positively associated with CRS, while age (OR 0.97 [0.96-0.98]; P < .0001), use of nonprivate insurance (OR 0.69 [0.56-0.85]; P = 0.001), and listed as Black (OR 0.62 [0.45-0.86]; P = 0.004) were negatively associated with CRS.

CONCLUSION

There were more systemic barriers to CRS for patients with OPM than for patients with CRPM. As CRS becomes more widely practiced for CRPM, it is likely that more socioeconomic and demographic barriers will be elucidated.

Racial Differences in Population Attributable Risk for Epithelial Ovarian Cancer in the OCWAA Consortium

BACKGROUND

The causes of racial disparities in epithelial ovarian cancer (EOC) incidence remain unclear. Differences in the prevalence of ovarian cancer risk factors may explain disparities in EOC incidence among African American (AA) and White women.

METHODS

We used data from 4 case-control studies and 3 case-control studies nested within prospective cohorts in the Ovarian Cancer in Women of African Ancestry Consortium to estimate race-specific associations of 10 known or suspected EOC risk factors using logistic regression. Using the Bruzzi method, race-specific population attributable risks (PAR) were estimated for each risk factor individually and collectively, including groupings of exposures (reproductive factors and modifiable factors). All statistical tests were 2-sided.

RESULTS

Among 3244 White EOC cases and 9638 controls and 1052 AA EOC cases and 2410 controls, AA women had a statistically significantly higher PAR (false discovery rate [FDR] P < .001) for first-degree family history of breast cancer (PAR = 10.1%, 95% confidence interval [CI] = 6.5% to 13.7%) compared with White women (PAR = 2.6%, 95% CI = 0.8% to 4.4%). After multiple test correction, AA women had a higher PAR than White women when evaluating all risk factors collectively (PAR = 61.6%, 95% CI = 48.6% to 71.3% vs PAR = 43.0%, 95% CI = 32.8% to 51.4%, respectively; FDR P = .06) and for modifiable exposures, including body mass index, oral contraceptives, aspirin, and body powder (PAR = 36.0%, 95% CI = 21.0% to 48.8% vs PAR = 13.8%, 95% CI = 4.5% to 21.8%, respectively; FDR P = .04).

CONCLUSIONS

Collectively, the selected risk factors accounted for slightly more of the risk among AA than White women, and interventions to reduce EOC incidence that are focused on multiple modifiable risk factors may be slightly more beneficial to AA women than White women at risk for 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.

Ovarian Cancer in Women of African Ancestry (OCWAA) consortium: a resource of harmonized data from eight epidemiologic studies of African American and white women

PURPOSE

Although the incidence rate of epithelial ovarian cancer (EOC) is somewhat lower in African American (AA) than white women, survival is worse. The Ovarian Cancer in Women of African Ancestry (OCWAA) consortium will overcome small, study-specific sample sizes to better understand racial differences in EOC risk and outcomes.

METHODS

We harmonized risk factors and prognostic characteristics from eight U.S.

STUDIES

the North Carolina Ovarian Cancer Study (NCOCS), the Los Angeles County Ovarian Cancer Study (LACOCS), the African American Cancer Epidemiology Study (AACES), the Cook County Case-Control Study (CCCCS), the Black Women's Health Study (BWHS), the Women's Health Initiative (WHI), the Multiethnic Cohort Study (MEC), and the Southern Community Cohort Study (SCCS).

RESULTS

Determinants of disparities for risk and survival in 1,146 AA EOC cases and 2,922 AA controls will be compared to 3,368 white EOC cases and 10,270 white controls. Analyses include estimation of population-attributable risk percent (PAR%) by race.

CONCLUSION

OCWAA is uniquely positioned to study the epidemiology of EOC in AA women compared with white women to address disparities. Studies of EOC have been underpowered to address factors that may explain AA-white differences in the incidence and survival. OCWAA promises to provide novel insight into disparities in ovarian cancer.

Regional Disparities in Ovarian Cancer in the United States

The aim of this study was to investigate the association between geographic regions and ovarian cancer disparities in the United States. Data from the Surveillance, Epidemiology, and End Results (SEER) Program was used to identify women diagnosed with ovarian cancer. 18 registries were divided into two groups: South region and US14 region. Chi-Square tests were used to compare proportions, the logistic regression model to evaluate the association between 5-year survival and other variables, and the Cox proportional hazards model to estimate hazard ratios. The South region had a lower incidence rate than the US14 region (12.0 vs. 13.4 per 100,000), and a lower 5-year observed survival rate (37.5% vs. 39.8%). White women living in the US14 region had the best overall survival, compared to white women living in the South region, and black women living in both regions. Women in the South region were less likely to have insurance (6.6% vs. 2.7%, p<0.0001) and surgery (73.4% vs. 76.2%, p<0.0001). Women living in the South were 1.4 times more likely to die after five years of diagnosis than women living in the US14 region. The data confirmed regional disparities in ovarian cancer in the United States, showing women living in the South region were disadvantaged in ovarian cancer survival regardless of race, black or white. Future research focusing on the identification of contributing factors to regional disparity in ovarian cancer is necessary to develop practical approaches to improve health outcomes related to this lethal disease.

Impact of socioeconomic status on survival in patients with ovarian cancer

OBJECTIVE

Socioeconomic status may impact survival in cancer patients. This study assessed whether low socioeconomic status has an impact on survival in patients with ovarian cancer and investigated whether differences in survival may be explained by type of therapy received.

METHODS

The study population comprised 318 patients with ovarian cancer diagnosed between 2011 and 2015 in the François Baclesse regional cancer care center in Caen, North-West France. Socioeconomic status was assessed by using the European deprivation index and overall survival was calculated at 3 years.

RESULTS

The unadjusted 3-year overall survival rate was 52% (95% CI 47 to 58). In a multivariable logistic regression model, a low socioeconomic status was associated with a lower probability of surgical resection (OR 0.34, 95% CI 0.16 to 0.74). A high socioeconomic status was associated with improved survival, adjusted for age, performance status, grade, and International Federation of Gynecology and Obstetrics (FIGO) stage (adjusted HR 1.53, 95% CI 1.04 to 2.26). When adjusting for treatment variables, there was no longer any significant difference in survival according to socioeconomic status (adjusted HR 1.24, 95% CI 0.83 to 1.84).

CONCLUSIONS

Higher socioeconomic status is associated with a greater probability of undergoing surgical resection and with improved survival in patients with ovarian cancer.

Disparities in treatment and survival among elderly ovarian cancer patients

OBJECTIVE

To determine correlation between race and receipt of optimal treatment for ovarian cancer and the impact of this on overall survival.

METHODS

Using SEER-linked Medicare database, women 66 and older diagnosed with advanced ovarian cancer between 2002 and 2011 were identified. Patients with unclear histology, diagnosed on autopsy and without Medicare Parts A and B were excluded. We used Chi-square test for categorical variables, F test for continuous variables, and multivariable logistic regression to identify characteristics associated with receipt of surgery and chemotherapy. Kaplan-Meier analysis was used to compare overall survival rates. Cox Proportional Hazards regression was performed to identify factors associated with 5-year survival.

RESULTS

9016 ovarian cancer patients were included. 2638 had primary chemotherapy, 4854 had primary surgery, and 1524 had no treatment. 7653 (84.9%) were white, 572 (6.3%) black, 479 (5.3%) Hispanic, and 312 (3.5%) were of other race/ethnicity. More white patients (57.2%) received both chemotherapy and surgery compared to black (39.9%), Hispanic (48.9%), or other (54.2%) (p < .001). Receipt of either only surgery or chemotherapy, or receipt of neither, resulted in higher risk of death when compared to receipt of both. On multivariable analysis, black (OR 0.58 [0.46-0.73]) and Hispanic (0.69 [0.54-0.88]) patients were less likely to receive both chemotherapy and surgery. Being of black race was significantly correlated with worse overall survival [HR 1.13 (1.03-1.23); p = .02].

CONCLUSIONS

Non-white women are less likely to receive the standard of care treatment for ovarian cancer and more likely to die from their disease than white women.

Epidemiology of Second Primary Tumors in Women With Ovarian Cancer

OBJECTIVE

The last large study of second primary tumors (SPTs) in women with ovarian cancer was published in 1996, prior to major changes in the differential diagnosis and treatment. The present study reports on the incidence of SPTs in a contemporary cohort of patients with a diagnosis of ovarian cancer.

METHODS

Ovarian cancer patients with a diagnosis of an ovarian malignancy between 1992 and 2012 were identified and characterized from 13 registries of the Surveillance, Epidemiology, and End Results database.

RESULTS

Of 41,073 women with a diagnosis of an ovarian malignancy between 1992 and 2012, 1831 (4.5%) developed a microscopically confirmed SPT. There was no significant difference in the risk of developing an SPT at all sites between women with an ovarian cancer and the general population. There was an elevated risk of site-specific SPTs of the small intestine, vagina, thyroid gland, and acute nonlymphocytic leukemia in ovarian cancer patients compared with the general Surveillance, Epidemiology, and End Results population. Conversely, the risk of lung and non-Hodgkin lymphoma was significantly decreased in women with ovarian cancer. An elevated risk of SPTs was observed in women with mucinous, endometrioid, and germ cell tumors. White women had an overall decreased risk of developing a second primary solid tumor, whereas American Indian and Asian/Pacific Islander women had an overall increased risk of an SPT at any site.

CONCLUSIONS

The incidence of SPTs in women with ovarian cancer was not significantly different as compared with the general population. However, divergent rates of SPTs in relation to histology, latency, age, and race were observed.

Tubal ligation and ovarian cancer risk in African American women

PURPOSE

Tubal ligation has been associated with reduced risk of epithelial ovarian cancer (EOC) in studies of primarily white women, but less is known about the association in African American (AA) women. We sought to evaluate the associations among 597 invasive ovarian cancer cases and 742 controls of AA descent recruited from the African American Cancer Epidemiology Study, a population-based case-control study in 11 geographical areas in the US.

METHODS

Multivariable logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) adjusted for potentially confounding factors.

RESULTS

An inverse association between tubal ligation and EOC was observed that was not statistically significant (OR 0.88, 95% CI 0.68-1.14). However, an inverse association with EOC risk was observed among women who had a tubal ligation at age 35 years or older (OR 0.64; 95% CI 0.41-0.98), but not among those who had a tubal ligation before age 35 (OR 0.98; 95% CI 0.74-1.29) (p for interaction = 0.08). The association also varied considerably by tumor subtype. A strong inverse association was observed for endometrioid tumors (OR 0.31, 95% CI 0.14-0.70), whereas associations with mucinous (OR 0.87, 95% CI 0.36-2.12) and serous (OR 0.94, 95% CI 0.71-1.24) tumors were weaker and not statistically significant. A statistically non-significant positive association for clear cell tumors (OR 1.84, 95% CI 0.58-5.82) was based on a low number of cases.

CONCLUSIONS

Our findings show that tubal ligation may confer a reduced risk for EOC among AA women that is comparable to the associations that have been previously observed in primarily white populations.

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.

Sociodemographic disparities in advanced ovarian cancer survival and adherence to treatment guidelines

OBJECTIVE

To estimate whether race or ethnic and socioeconomic strata are independently associated with advanced-stage ovarian cancer-specific survival after adjusting for adherence to National Comprehensive Cancer Network treatment guidelines.

METHODS

The design was a retrospective population-based cohort study of patients with stage IIIC-IV epithelial ovarian cancer identified from the Surveillance, Epidemiology, and End Results-Medicare database (1992-2009). Quartile of census tract median household income was used as the measure of socioeconomic status (quartiles 1-4). A multivariable logistic regression model was used to identify characteristics predictive of adherence to National Comprehensive Cancer Network guidelines for surgery and chemotherapy. Cox proportional hazards models and propensity score matching were used for survival analyses.

RESULTS

A total of 10,296 patients were identified, and 30.2% received National Comprehensive Cancer Network guideline-adherent care. Among demographic variables, black race (adjusted odds ratio [OR] 1.53, 95% confidence interval [CI] 1.22-1.92) and low socioeconomic status (quartile 1, adjusted OR 1.32, 95% CI 1.14-1.52) were independently associated with nonguideline care. Stratified multivariate survival analysis using the propensity score-matched sample (n=5,124) revealed that deviation from treatment guidelines was associated with a comparable risk of disease-related death across race-ethnicity: whites (adjusted hazard ratio [HR] 1.59, 95% CI 1.48-1.71), blacks (adjusted HR 1.66, 95% CI 1.19-2.30), Asian or Pacific Islanders (adjusted HR 1.52, 95% CI 0.99-1.92), and Hispanics (adjusted HR 1.91, 95% CI 0.98-3.72). Across socioeconomic status, deviation from treatment guidelines was also associated with a comparable risk of ovarian cancer mortality for quartile 1 (adjusted HR 1.69, 95% CI 1.47-1.95), quartile 2 (adjusted HR 1.63, 95% CI 1.42-1.87), quartile 3 (adjusted HR 1.51, 95% CI 1.32-1.73), and quartile 4 (adjusted HR 1.57, 95% CI 1.38-1.79).

CONCLUSION

Adherence to treatment guidelines for advanced-stage ovarian cancer is associated with equivalent survival benefit across racial or ethnic and socioeconomic strata. Ensuring equal access to standard treatment is a viable strategic approach to reduce survival disparities.

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.

Do stage of disease, comorbidity or access to treatment explain socioeconomic differences in survival after ovarian cancer? - A cohort study among Danish women diagnosed 2005-2010

AIMS

In order to reduce social inequality in cancer survival, knowledge is needed about where in the cancer trajectory disparities occur, and how social and health-related aspects may interact. We aimed to determine whether socioeconomic factors are related to cancer diagnosis stage, and whether socioeconomic disparities in survival after ovarian cancer can be explained by socioeconomic differences in cancer stage, comorbidity, treatment or lifestyle factors.

METHODS

In the Danish Gynaecological Cancer Database we identified 2873 cases of ovarian cancer diagnosed between 2005 and 2010. From this data we retrieved information on prognostic factors, treatment information and lifestyle factors. Age, vital status, comorbidity, education, income and cohabitation status were ascertained from nationwide administrative registers. Associations were analyzed with logistic regression and Cox regression models.

RESULTS

Educational level was weakly associated with cancer stage. Short education, lower income and living without a partner were related to poorer survival after ovarian cancer. Among women with early cancer stage, HR (95% CI) for death was 1.75 (1.20-2.54) in shorter compared to longer educated women. After adjustment for comorbid conditions, cancer stage, tumour histology, operation status and lifestyle factors, socioeconomic differences in survival persisted.

CONCLUSIONS

Socioeconomic disparities in survival after ovarian cancer were to some extent, but not fully explained by differences in important prognostic factors, suggesting further investigations into this problem, however implying that socially less advantaged ovarian cancer patients should receive attention during cancer treatment and rehabilitation.

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.

Race, insurance type, and stage of presentation among lung cancer patients

The purpose of this study was to determine whether African-American lung cancer patients are diagnosed at a later stage than white patients, regardless of insurance type. The relationship between race and stage at diagnosis by insurance type was assessed using a Poisson regression model, with relative risk as the measure of association. The setting of the study was a large tertiary care cancer center located in the southeastern United States. Patients who were diagnosed with lung cancer between 2001 and 2010 were included in the study. A total of 717 (31%) African-American and 1,634 (69%) white lung cancer patients were treated at our facility during the study period. Adjusting for age, sex, and smoking-related histology, African-American patients were diagnosed at a statistically significant later stage (III/IV versus I/II) than whites for all insurance types, with the exception of Medicaid. Our results suggest that equivalent insurance coverage may not ensure equal presentation of stage between African-American and white lung cancer patients. Future research is needed to determine whether other factors such as treatment delays, suboptimal preventive care, inappropriate specialist referral, community segregation, and a lack of patient trust in health care providers may explain the continuing racial disparities observed in the current study.

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

BACKGROUND

Less than half of women with ovarian cancer and blacks specifically receive therapy adherent to National Comprehensive Cancer Network (NCCN) guidelines. The purpose is to assess the effect of neighborhood-level socioeconomic status (SES) on black-white treatment differences in a population-based analysis in a highly-segregated community.

METHODS

Illinois State Cancer Registry data for invasive epithelial ovarian cancer cases diagnosed in Cook County, IL in non-Hispanic white (NHW) or black (NHB) women from 1998 to 2009 was analyzed. As few women receive NCCN-adherent care, variables were constructed to assess extent of treatment, including receipt of: 1) debulking surgery; 2) any surgery; 3) multi-agent chemotherapy; and 4) any chemotherapy. Two measures (concentrated affluence and disadvantage) were used to estimate neighborhood-level SES. Multivariable logistic regression was used to compute odds ratios (OR) and 95% confidence intervals (95% CI), with generalized linear mixed models to account for hierarchical data.

RESULTS

2766 (81.0%) NHW and 647 (19.0%) NHB women were diagnosed. Adjusting for covariates, NHB were less likely to receive debulking surgery (OR: 0.39; 95% CI: 0.30-0.50), any surgery (OR: 0.38; 95%CI: 0.29-0.49), multi-agent chemotherapy (OR: 0.56; 95% CI: 0.45-0.71) and any chemotherapy (OR: 0.58; 95% CI: 0.45-0.74). Concentrated affluence but not disadvantage was significant in final models for multi-agent and any chemotherapy, but not debulking or any surgery.

CONCLUSIONS

Results identify black-white differences consistent across treatments that persist despite adjustment for neighborhood-level SES.

IMPACT

Results advance inequality awareness beyond "ideal" NCCN-adherent care, indicating inequality exists in delivery of even the most basic oncologic care.

Survival differences of Asian and Caucasian epithelial ovarian cancer patients in the United States

OBJECTIVE

To compare the racial differences in treatment and survival of Asian-Americans and White patients with epithelial ovarian cancer.

METHODS

Data were obtained from the Surveillance, Epidemiology, and End Results Program between 1988 and 2009 and analyzed using Chi-squared tests, Kaplan-Meier methods, and Cox regression analysis.

RESULTS

Of the 52,260 women, 3932 (7.5%) were coded as Asian, and 48,328 (92.5%) were White. The median age of Asians at diagnosis was 56 vs. 64 years for the Whites (p<0.001). Asians were more likely to undergo primary surgery, have an earlier stage of disease, have a diagnosis of a non-serous histology, and have lower grade tumors. The 5-year disease-specific survival (DSS) of Asians was higher compared to Whites (59.1% vs. 47.3%, p<0.001). On a subset analysis, Vietnamese, Filipino, Chinese, Korean, Japanese, and Asian Indian/Pakistani ethnicities had 5-year DSS of 62.1%, 61.5%, 61.0%, 59.0%, 54.6%, and 48.2%, respectively (p=0.015). On multivariate analysis, age at diagnosis, year of diagnosis, race, surgery, stage, and tumor grade were all independent prognostic factors for survival. Asians were further stratified to U.S. born versus those who were born in Asia and immigrated. Asian immigrants presented at a younger age compared to U.S. born Asians. Immigrants were found to have an improved 5-year DSS when compared to U.S. born Asians and Whites of 55%, 52%, and 48%, respectively (p<0.001).

CONCLUSION

Asians were more likely to be younger, undergo primary surgery, have an earlier stage of disease, non-serous histology, lower grade tumors, and higher survival.

Global ovarian cancer health disparities

OBJECTIVE

The objective of this article is to broadly review the scientific literature and summarize the most up-to-date findings on ovarian cancer health disparities worldwide and in the United States (U.S.).

METHODS

The present literature on disparities in ovarian cancer was reviewed. Original research and relevant review articles were included.

RESULTS

Ovarian cancer health disparities exist worldwide and in the U.S. Ovarian cancer disproportionately affect African American women at all stages of the disease, from presentation through treatment, and ultimately increased mortality and decreased survival, compared to non-Hispanic White women. Increased mortality is likely to be explained by unequal access to care and non-standard treatment regimens frequently administered to African American women, but may also be attributed to genetic susceptibility, acquired co-morbid conditions and increased frequency of modifiable risk factors, albeit to substantially lesser extent. Unequal access to care is, in turn, largely a consequence of lower socioeconomic status and lack of private health insurance coverage among the African American population.

CONCLUSIONS

Our findings suggest the need for policy changes aimed at facilitating equal access to quality medical care. At the same time, further research is necessary to fully resolve racial disparities in ovarian cancer.

Disparities in ovarian cancer care quality and survival according to race and socioeconomic status

BACKGROUND

The relationship between racial and socioeconomic status (SES) disparities and the quality of epithelial ovarian cancer care and survival outcome are unclear.

METHODS

A population-based analysis of National Cancer Data Base (NCDB) records for invasive primary epithelial ovarian cancer diagnosed in the period from 1998 to 2002 was done using data from patients classified as white or black. Adherence to National Comprehensive Cancer Network (NCCN) guideline care was defined by stage-appropriate surgical procedures and recommended chemotherapy. The main outcome measures were differences in adherence to NCCN guidelines and overall survival according to race and SES and were analyzed using binomial logistic regression and multilevel survival analysis.

RESULTS

A total of 47 160 patients (white = 43 995; black = 3165) were identified. Non-NCCN-guideline-adherent care was an independent predictor of inferior overall survival (hazard ratio [HR] = 1.43, 95% confidence interval [CI] = 1.38 to 1.47). Demographic characteristics independently associated with a higher likelihood of not receiving NCCN guideline-adherent care were black race (odds ratio [OR] = 1.36, 95% CI = 1.25 to 1.48), Medicare payer status (OR = 1.20, 95% CI = 1.12 to 1.28), and not insured payer status (OR = 1.33, 95% CI = 1.19 to 1.49). After controlling for disease and treatment-related variables, independent racial and SES predictors of survival were black race (HR = 1.29, 95% CI = 1.22 to 1.36), Medicaid payer status (HR = 1.29, 95% CI = 1.20 to 1.38), not insured payer status (HR = 1.32, 95% CI = 1.20 to 1.44), and median household income less than $35 000 (HR = 1.06, 95% CI = 1.02 to 1.11).

CONCLUSIONS

These data highlight statistically and clinically significant disparities in the quality of ovarian cancer care and overall survival, independent of NCCN guidelines, along racial and SES parameters. Increased efforts are needed to more precisely define the patient, provider, health-care system, and societal factors leading to these observed disparities and guide targeted interventions.

A retrospective analysis of clinicopathological and prognostic characteristics of ovarian tumors in the State of Espírito Santo, Brazil

BACKGROUND

Ovarian cancer is sixth most common cancer among women and the leading cause of death in women with gynecological malignancies. Despite the great impact ovarian cancer has on women's health and its great impact in public economy, Brazil still lacks valuable information concerning epidemiological aspects of this disease

METHODS

We've compiled clinical data of all ovarian tumors registered at the two public hospitals of reference (1997 - 2007), such as: patients' age at diagnosis, tumor histological type, tumor stage, chemotherapy regimens, chemotherapy responsiveness, disease-free survival, and overall survival.

RESULTS

Women's mean age at diagnosis was 54.67 ± 13.84 for ovarian cancer, 46.15 ± 11.15 for borderline tumors, and 42.01 ± 15.06 for adenomas. Among epithelial ovarian cancer cases, 30.1% were of serous, 13.7% were of mucinous, and 13.7% were of endometrioid type; exceptionally serous carcinoma was diagnosed in women younger than 30 years old. Endometrioid cancer had lower disease-free survival than others (p < 0.05). Cases were predominantly diagnosed as poor prognosis disease (FIGO III and IV, 56.2%). Regarding responsiveness to platinum-based therapy, 17.1% of patients were resistant, whereas 24.6%, susceptible. From these, we found equally responsiveness to platinum alone or its association with paclitaxel or cyclophosphamide.

DISCUSSION

Our data agreed with other studies regarding mean patients' age at diagnosis, histological type frequency, FIGO stages distribution, and chemotherapy regimens. However, the histological type distribution, with equal contribution of mucinous and endometrioid types seems to be a unique characteristic of the studied highly miscegenated population.

CONCLUSION

We have enlighten the profile of the studied ovarian cancer population, which might enable the development of more efficient political strategies to control this malignancy that is the fifth leading cause of cancer-related deaths among women.