Racial disparities in treatment and survival from ovarian cancer

Racial and ethnic differences in early death among gynecologic malignancy

BACKGROUND

Racial and ethnic differences in early death after cancer diagnosis have not been well studied in gynecologic malignancy.

OBJECTIVE

This study aimed to assess population-level trends and characteristics of early death among patients with gynecologic malignancy based on race and ethnicity in the United States.

STUDY DESIGN

The National Cancer Institute's Surveillance, Epidemiology, and End Results Program was queried to examine 461,300 patients with gynecologic malignancies from 2000 to 2020, including uterine (n=242,709), tubo-ovarian (n=119,989), cervical (n=68,768), vulvar (n=22,991), and vaginal (n=6843) cancers. Early death, defined as a mortality event within 2 months of the index cancer diagnosis, was evaluated per race and ethnicity.

RESULTS

At the cohort level, early death occurred in 21,569 patients (4.7%), including 10.5%, 5.5%, 2.9%, 2.5%, and 2.4% for tubo-ovarian, vaginal, cervical, uterine, and vulvar cancers, respectively (P<.001). In a race- and ethnicity-specific analysis, non-Hispanic Black patients with tubo-ovarian cancer had the highest early death rate (14.5%). Early death racial and ethnic differences were the largest in tubo-ovarian cancer (6.4% for Asian vs 14.5% for non-Hispanic Black), followed by uterine (1.6% for Asian vs 4.9% for non-Hispanic Black) and cervical (1.8% for Hispanic vs 3.8% to non-Hispanic Black) cancers (all, P<.001). In tubo-ovarian cancer, the early death rate decreased over time by 33% in non-Hispanic Black patients from 17.4% to 11.8% (adjusted odds ratio, 0.67; 95% confidence interval, 0.53-0.85) and 23% in non-Hispanic White patients from 12.3% to 9.5% (adjusted odds ratio, 0.77; 95% confidence interval, 0.71-0.85), respectively. The early death between-group difference diminished only modestly (12.3% vs 17.4% for 2000-2002 [adjusted odds ratio for non-Hispanic White vs non-Hispanic Black, 0.54; 95% confidence interval, 0.45-0.65] and 9.5% vs 11.8% for 2018-2020 [adjusted odds ratio, 0.65; 95% confidence interval, 0.54-0.78]).

CONCLUSION

Overall, approximately 5% of patients with gynecologic malignancy died within the first 2 months from cancer diagnosis, and the early death rate exceeded 10% in non-Hispanic Black individuals with tubo-ovarian cancer. Although improving early death rates is encouraging, the difference among racial and ethnic groups remains significant, calling for further evaluation.

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.

A Scoping Review of Medical Mistrust Among Racial, Ethnic, and Gender Minorities With Breast and Ovarian Cancer

An overarching theme in clinical literature suggests an inherent mistrust among populations of color within the healthcare system and the importance of healthcare professionals to bridge this gap in care. This is especially true when addressing cancer care in underserved populations due to mistrust in providers, diagnostic tools, and treatments. Ovarian cancer is difficult to diagnose early in all populations; however, women of color who have an intrinsic mistrust of the medical community will delay or refuse screenings or treatments that could be greatly beneficial. Similarly, although breast cancer rates are high in women of color, many are reluctant to utilize genetic screenings or counseling services due to bad experiences with healthcare, both personally and within their community. Moreover, transgender patients are at a unique disadvantage, as they face barriers to accessing culturally competent care while also being at a higher risk for developing cancer. The objective of this study was to conduct a scoping review of the literature in order to synthesize knowledge about the climate of mistrust between medical providers and racial, ethnic, and gender minorities with breast cancer and ovarian cancer. It is imperative for healthcare workers to acknowledge medical mistrust and strive to reduce internalized bias, increase their availability to patients, and ensure patients feel heard, respected, and well cared for during visits. Improving care by physicians can enhance trust between underserved communities and healthcare workers, encouraging all people to actively seek proper medical care and cancer screening, potentially resulting in a reduction of mortality and morbidity rates.

Racial and socioeconomic disparities in survival among women with advanced-stage ovarian cancer who received systemic therapy

PURPOSE

The purpose of this study was to assess the association between race/ethnicity and all-cause mortality among women with advanced-stage ovarian cancer who received systemic therapy.

METHODS

We analyzed data from the National Cancer Database on women diagnosed with advanced-stage ovarian cancer from 2004 to 2015 who received systemic therapy. Race/ethnicity was categorized as Non-Hispanic (NH) White, NH-Black, Hispanic, NH-Asian/Pacific Islander, and Other. Income and education were combined to form a composite measure of socioeconomic status (SES) and categorized into low-, mid-, and high-SES. Multivariable Cox proportional hazards models were used to assess whether race/ethnicity was associated with the risk of death after adjusting for sociodemographic, clinical, and treatment factors. Additionally, subgroup analyses were conducted by SES, age, and surgery receipt.

RESULTS

The study population comprised 53,367 women (52.4% ages ≥ 65 years, 82% NH-White, 8.7% NH-Black, 5.7% Hispanic, and 2.7% NH-Asian/Pacific Islander) in the analysis. After adjusting for covariates, the NH-Black race was associated with a higher risk of death versus NH-White race (aHR: 1.12; 95% CI: 1.07,1.18), while Hispanic ethnicity was associated with a lower risk of death compared to NH-White women (aHR: 0.87; 95% CI: 0.80, 0.95). Furthermore, NH-Black women versus NH-White women had an increased risk of mortality among those with low-SES characteristics (aHR:1.12; 95% CI:1.03-1.22) and mid-SES groups (aHR: 1.13; 95% CI:1.05-1.21).

CONCLUSIONS

Among women with advanced-stage ovarian cancer who received systemic therapy, NH-Black women experienced poorer survival compared to NH-White women. Future studies should be directed to identify drivers of ovarian cancer disparities, particularly racial differences in treatment response and surveillance.

Exploring international differences in ovarian cancer care: a survey report on global patterns of care, current practices, and barriers

OBJECTIVE

Although global disparities in survival rates for patients with ovarian cancer have been described, variation in care has not been assessed globally. This study aimed to evaluate global ovarian cancer care and barriers to care.

METHODS

A survey was developed by international ovarian cancer specialists and was distributed through networks and organizational partners of the International Gynecologic Cancer Society, the Society of Gynecologic Oncology, and the European Society of Gynecological Oncology. Respondents received questions about care organization. Outcomes were stratified by World Bank Income category and analyzed using descriptive statistics and logistic regressions.

RESULTS

A total of 1059 responses were received from 115 countries. Respondents were gynecological cancer surgeons (83%, n=887), obstetricians/gynecologists (8%, n=80), and other specialists (9%, n=92). Income category breakdown was as follows: high-income countries (46%), upper-middle-income countries (29%), and lower-middle/low-income countries (25%). Variation in care organization was observed across income categories. Respondents from lower-middle/low-income countries reported significantly less frequently that extensive resections were routinely performed during cytoreductive surgery. Furthermore, these countries had significantly fewer regional networks, cancer registries, quality registries, and patient advocacy groups. However, there is also scope for improvement in these components in upper-middle/high-income countries. The main barriers to optimal care for the entire group were patient co-morbidities, advanced presentation, and social factors (travel distance, support systems). High-income respondents stated that the main barriers were lack of surgical time/staff and patient preferences. Middle/low-income respondents additionally experienced treatment costs and lack of access to radiology/pathology/genetic services as main barriers. Lack of access to systemic agents was reported by one-third of lower-middle/low-income respondents.

CONCLUSIONS

The current survey report highlights global disparities in the organization of ovarian cancer care. The main barriers to optimal care are experienced across all income categories, while additional barriers are specific to income levels. Taking action is crucial to improve global care and strive towards diminishing survival disparities and closing the care gap.

Hyperthermic Intraperitoneal Chemotherapy in Ovarian Cancer

Hyperthermic intraperitoneal chemotherapy (HIPEC) is a treatment modality that aims to target the main site of tumor dissemination in ovarian cancer, the peritoneum, by combining the benefits of intraperitoneal chemotherapy with the synergistic effects of hyperthermia all during a single administration at the time of cytoreductive surgery. High-quality evidence currently only supports the use of HIPEC with cisplatin at the time of interval cytoreduction after neoadjuvant chemotherapy for stage III epithelial ovarian cancer. Many questions remain, including HIPEC's role at other timepoints in ovarian cancer treatment, who are optimal candidates, and specifics of HIPEC protocols. This article reviews the history of normothermic and hyperthermic intraperitoneal chemotherapy in ovarian cancer and evidence regarding HIPEC implementation and patient outcomes. Additionally, this review explores details of HIPEC technique and perioperative care, cost considerations, complication and quality of life data, disparities in HIPEC use, and unresolved issues.

Health-care access dimensions and ovarian cancer survival: SEER-Medicare analysis of the ORCHiD study

BACKGROUND

Racial and ethnic disparities in ovarian cancer (OC) survival are well-documented. However, few studies have investigated how health-care access (HCA) contributes to these disparities.

METHODS

To evaluate the influence of HCA on OC mortality, we analyzed 2008-2015 Surveillance, Epidemiology, and End Results-Medicare data. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HCA dimensions (affordability, availability, accessibility) and OC-specific and all-cause mortality, adjusting for patient characteristics and treatment receipt.

RESULTS

The study cohort included 7590 OC patients: 454 (6.0%) Hispanic, 501 (6.6%) Non-Hispanic (NH) Black, and 6635 (87.4%) NH White. Higher affordability (HR = 0.90, 95% CI = 0.87 to 0.94), availability (HR = 0.95, 95% CI = 0.92 to 0.99), and accessibility scores (HR = 0.93, 95% CI = 0.87 to 0.99) were associated with lower risk of OC mortality after adjusting for demographic and clinical factors. Racial disparities were observed after additional adjustment for these HCA dimensions: NH Black patients experienced a 26% higher risk of OC mortality compared with NH White patients (HR = 1.26, 95% CI = 1.11 to 1.43) and a 45% higher risk among patients who survived at least 12 months (HR = 1.45, 95% CI = 1.16 to 1.81).

CONCLUSIONS

HCA dimensions are statistically significantly associated with mortality after OC and explain some, but not all, of the observed racial disparity in survival of patients with OC. Although equalizing access to quality health care remains critical, research on other HCA dimensions is needed to determine additional factors contributing to disparate OC outcomes by race and ethnicity and advance the field toward health equity.

Tackling Gynecologic Cancer Disparities: An Assessment of 2 Interventions for Improving Information Exchange With Racial/Ethnic Communities

Racial health disparities continue to greatly impact the incidence and mortality rates of gynecologic cancers. Although there are many drivers for these disparities, limited inclusion of vulnerable populations in clinical research and narrowed medical knowledge of patients are large contributors that disproportionately affect racial/ethnic communities. To mitigate these disparities, we must look for avenues that connect patients from these communities to cancer researchers. In this review, we summarize 2 projects that can serve as models for future interventions that promote education and engagement in clinical research for populations most impacted by gynecologic cancer disparities.

Neoadjuvant Chemotherapy in Ovarian Cancer: Are There Racial Disparities in Use and Survival?

BACKGROUND

We investigated racial and ethnic disparities in treatment sequence [i.e., neoadjuvant chemotherapy (NACT) plus interval debulking surgery (IDS) versus primary debulking surgery (PDS) plus adjuvant chemotherapy] among patients with ovarian cancer and its contribution to disparities in mortality.

METHODS

Study included 37,566 women ages ≥18 years, diagnosed with stage III/IV ovarian cancer from the National Cancer Database (2004-2017). Logistic regression was used to compute ORs and 95% confidence intervals (CI) for racial and ethnic disparities in treatment sequence. Cox proportional hazards regression was used to estimate HRs and 95% CI for racial and ethnic disparities in all-cause mortality.

RESULTS

Non-Hispanic Black (NHB) and Asian women were more likely to receive NACT plus IDS relative to PDS plus adjuvant chemotherapy than non-Hispanic White (NHW) women (OR: 1.12; 95% CI: 1.02-1.22 and OR: 1.12; 95% CI: 0.99-1.28, respectively). Compared with NHW women, NHB women had increased hazard of all-cause mortality (HR: 1.14; 95% CI: 1.09-1.20), whereas Asian and Hispanic women had a lower hazard of all-cause mortality (HR: 0.81; 95% CI: 0.74-0.88 and HR: 0.83; 95% CI: 0.77-0.88, respectively), which did not change after accounting for treatment sequence.

CONCLUSIONS

NHB women were more likely to receive NACT plus IDS and experience a higher all-cause mortality rates than NHW women.

IMPACT

Differences in treatment sequence did not explain racial disparities in all-cause mortality. Further evaluation of racial and ethnic differences in treatment and survival in a cohort of patients with detailed treatment information is warranted.

Factor Analysis of Health Care Access With Ovarian Cancer Surgery and Gynecologic Oncologist Consultation

IMPORTANCE

Poor health care access (HCA) is associated with racial and ethnic disparities in ovarian cancer (OC) survival.

OBJECTIVE

To generate composite scores representing health care affordability, availability, and accessibility via factor analysis and to evaluate the association between each score and key indicators of guideline-adherent care.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used data from patients with OC diagnosed between 2008 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) Medicare database. The SEER Medicare database uses cancer registry data and linked Medicare claims from 12 US states. Included patients were Hispanic, non-Hispanic Black, and non-Hispanic White individuals aged 65 years or older diagnosed from 2008 to 2015 with first or second primary OC of any histologic type (International Classification of Diseases for Oncology, 3rd Edition [ICD-O-3] code C569). Data were analyzed from June 2020 to June 2022.

EXPOSURES

The SEER-Medicare data set was linked with publicly available data sets to obtain 35 variables representing health care affordability, availability, and accessibility. A composite score was created for each dimension using confirmatory factor analysis followed by a promax (oblique) rotation on multiple component variables.

MAIN OUTCOMES AND MEASURES

The main outcomes were consultation with a gynecologic oncologist for OC and receipt of OC-related surgery in the 2 months prior to or 6 months after diagnosis.

RESULTS

The cohort included 8987 patients, with a mean (SD) age of 76.8 (7.3) years and 612 Black patients (6.8%), 553 Hispanic patients (6.2%), and 7822 White patients (87.0%). Black patients (adjusted odds ratio [aOR], 0.75; 95% CI, 0.62-0.91) and Hispanic patients (aOR, 0.81; 95% CI, 0.67-0.99) were less likely to consult a gynecologic oncologist compared with White patients, and Black patients were less likely to receive surgery after adjusting for demographic and clinical characteristics (aOR, 0.76; 95% CI, 0.62-0.94). HCA availability and affordability were each associated with gynecologic oncologist consultation (availability: aOR, 1.16; 95% CI, 1.09-1.24; affordability: aOR, 1.13; 95% CI, 1.07-1.20), while affordability was associated with receipt of OC surgery (aOR, 1.08; 95% CI, 1.01-1.15). In models mutually adjusted for availability, affordability, and accessibility, Black patients remained less likely to consult a gynecologic oncologist (aOR, 0.80; 95% CI, 0.66-0.97) and receive surgery (aOR, 0.80; 95% CI, 0.65-0.99).

CONCLUSIONS AND RELEVANCE

In this cohort study of Hispanic, non-Hispanic Black, and non-Hispanic White patients with OC, HCA affordability and availability were significantly associated with receiving surgery and consulting a gynecologic oncologist. However, these dimensions did not fully explain racial and ethnic disparities.

Racial Disparities in Survival Outcomes of Patients With Serous Epithelial Ovarian Cancer: A Retrospective Cohort Analysis

OBJECTIVE

To identify racial disparities in five-year survival rates in women affected by serous epithelial ovarian carcinoma in the United States (US).

METHODS

This retrospective cohort study analyzed data from the 2010 to 2016 Surveillance, Epidemiology, and End Results (SEER) program database. Women with a primary malignancy of serous epithelial ovarian carcinoma, using International Classification of Diseases for Oncology (ICD-O) Topography Coding and ICD-O-3 Histology Coding, were included in this study. Race and ethnicity were combined into the following groups: Non-Hispanic White (NHW), Non-Hispanic Black (NHB), Non-Hispanic Asian/Pacific Islander (NHAPI), Non-Hispanic Other (NHO), and Hispanics. Cancer-specific survival was measured at five years post-diagnosis. A comparison of baseline characteristics was assessed using Chi-squared tests. Unadjusted and adjusted Cox regression models were used to calculate hazard ratios (HR) and corresponding 95% confidence intervals (CI).

RESULTS

From 2010 to 2016, there were 9,630 women with a primary diagnosis of serous ovarian carcinoma identified in the SEER database. A higher proportion of Asian/PI women (90.7%) were diagnosed with high-grade malignancy (poorly differentiated/undifferentiated) compared to NHW women (85.4%). NHB women (9.7%) were less likely to undergo surgery when compared to NHW women (6.7%). Hispanic women had the highest proportion of uninsured women (5.9%), while NHW and NHAPI had the lowest (2.2% each). A higher proportion of NHB (74.2%) and Asian/PI (71.3%) women presented with the distant disease compared to NHW women (70.2%). After adjustment for age, insurance, marital status, stage, metastases, and surgical resection, NHB women had the highest hazard of death within five years compared to NHW women (adjusted (adj) HR 1.22, 95% CI 1.09-1.36, p<0.001). Hispanic women also had lower five-year survival probabilities compared to NHW women (adj HR 1.21, 95% CI 1.12-1.30, p<0.001). Patients undergoing surgery had significantly increased survival probability compared to those who did not (p<0.001). As expected, women with Grade III and Grade IV disease both had significantly lower five-year survival probabilities compared to Grade I (p<0.001).

CONCLUSION

This study reveals that there is an association between race and overall survival in patients with serous ovarian carcinoma, with NHB and Hispanic women having the highest hazards of death compared to NHW women. This adds to the existing body of literature as survival outcomes in Hispanic patients relative to NHW patients are not well documented. Because of the potential interplay between overall survival and several factors including race, future studies should aim to investigate other socioeconomic factors that may be impacting survival.

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.

Understanding the Experience of Canadian Women Living with Ovarian Cancer through the Every Woman StudyTM

The Every Woman StudyTM: Canadian Edition is the most comprehensive study to date exploring patient-reported experiences of ovarian cancer (OC) on a national scale. An online survey conducted in Fall 2020 included individuals diagnosed with OC in Canada, reporting responses from 557 women from 11 Canadian provinces/territories. Median age at diagnosis was 54 (11−80), 61% were diagnosed between 2016−2020, 59% were stage III/IV and all subtypes of OC were represented. Overall, 23% had a family history of OC, 75% had genetic testing and 19% reported having a BRCA1/2 mutation. Most (87%) had symptoms prior to diagnosis. A timely diagnosis of OC (≤3 months from first presentation with symptoms) was predicted by age (>50) or abdominal pain/persistent bloating as the primary symptom. Predictors of an acute diagnosis (<1 month) included region, ER/urgent care doctor as first healthcare provider or stage III/IV disease. Regional differences in genetic testing, treatments and clinical trial participation were also noted. Respondents cited substantial physical, emotional, practical and financial impacts of an OC diagnosis. Our national survey has revealed differences in the pathway to diagnosis and post-diagnostic care among Canadian women with OC, with region, initial healthcare provider, specific symptoms and age playing key roles. We have identified many opportunities to improve both clinical and supportive care of OC patients across the country.

Racial Differences in the Tumor Immune Landscape and Survival of Women with High-Grade Serous Ovarian Carcinoma

BACKGROUND

Tumor-infiltrating lymphocytes (TIL) confer a survival benefit among patients with ovarian cancer; however, little work has been conducted in racially diverse cohorts.

METHODS

The current study investigated racial differences in the tumor immune landscape and survival of age- and stage-matched non-Hispanic Black and non-Hispanic White women with high-grade serous ovarian carcinoma (HGSOC) enrolled in two population-based studies (n = 121 in each racial group). We measured TILs (CD3+), cytotoxic T cells (CD3+CD8+), regulatory T cells (CD3+FoxP3+), myeloid cells (CD11b+), and neutrophils (CD11b+CD15+) via multiplex immunofluorescence. Multivariable Cox proportional hazard regression was used to estimate the association between immune cell abundance and survival overall and by race.

RESULTS

Overall, higher levels of TILs, cytotoxic T cells, myeloid cells, and neutrophils were associated with better survival in the intratumoral and peritumoral region, irrespective of tissue compartment (tumor, stroma). Improved survival was noted for T-regulatory cells in the peritumoral region and in the stroma of the intratumoral region, but no association for intratumoral T-regulatory cells. Despite similar abundance of immune cells across racial groups, associations with survival among non-Hispanic White women were consistent with the overall findings, but among non-Hispanic Black women, most associations were attenuated and not statistically significant.

CONCLUSIONS

Our results add to the existing evidence that a robust immune infiltrate confers a survival advantage among women with HGSOC; however, non-Hispanic Black women may not experience the same survival benefit as non-Hispanic White women with HGSOC.

IMPACT

This study contributes to our understanding of the immunoepidemiology of HGSOC in diverse populations.

SWAN pathway-network identification of common aneuploidy-based oncogenic drivers

Haploinsufficiency drives Darwinian evolution. Siblings, while alike in many aspects, differ due to monoallelic differences inherited from each parent. In cancer, solid tumors exhibit aneuploid genetics resulting in hundreds to thousands of monoallelic gene-level copy-number alterations (CNAs) in each tumor. Aneuploidy patterns are heterogeneous, posing a challenge to identify drivers in this high-noise genetic environment. Here, we developed Shifted Weighted Annotation Network (SWAN) analysis to assess biology impacted by cumulative monoallelic changes. SWAN enables an integrated pathway-network analysis of CNAs, RNA expression, and mutations via a simple web platform. SWAN is optimized to best prioritize known and novel tumor suppressors and oncogenes, thereby identifying drivers and potential druggable vulnerabilities within cancer CNAs. Protein homeostasis, phospholipid dephosphorylation, and ion transport pathways are commonly suppressed. An atlas of CNA pathways altered in each cancer type is released. These CNA network shifts highlight new, attractive targets to exploit in solid tumors.

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques

Ovarian cancer is the third most common gynecologic cancers worldwide. Advanced ovarian cancer patients bear a significant mortality rate. Survival estimation is essential for clinicians and patients to understand better and tolerate future outcomes. The present study intends to investigate different survival predictors available for cancer prognosis using data mining techniques. Dataset of 140 advanced ovarian cancer patients containing data from different data profiles (clinical, treatment, and overall life quality) has been collected and used to foresee cancer patients' survival. Attributes from each data profile have been processed accordingly. Clinical data has been prepared corresponding to missing values and outliers. Treatment data including varying time periods were created using sequence mining techniques to identify the treatments given to the patients. And lastly, different comorbidities were combined into a single factor by computing Charlson Comorbidity Index for each patient. After appropriate preprocessing, the integrated dataset is classified using appropriate machine learning algorithms. The proposed integrated model approach gave the highest accuracy of 76.4% using ensemble technique with sequential pattern mining including time intervals of 2 months between treatments. Thus, the treatment sequences and, most importantly, life quality attributes significantly contribute to the survival prediction of cancer patients.

Factors impacting the time to ovarian cancer diagnosis based on classic symptom presentation in the United States

BACKGROUND

Patients with ovarian cancer often present with late-stage disease and nonspecific symptoms, but little is known about factors affecting the time to diagnosis (TTD) in the United States.

METHODS

A retrospective, population-based study of the Surveillance, Epidemiology, and End Results-Medicare database was conducted. It included women 66 years old or older with stage II to IV epithelial ovarian cancer with at least 1 code for abdominal/pelvic pain, bloating, difficulty eating, or urinary symptoms within 1 year of the cancer diagnosis. TTD was defined from the first claim with a prespecified symptom to the ovarian cancer diagnosis. Kruskal-Wallis tests were used to assess for differences in TTD by group medians. Univariate and generalized linear models with a log-link function evaluated TTD by covariables.

RESULTS

For the 13,872 women analyzed, the mean and median times to diagnosis were 2.9 and 1.1 months, respectively. The median TTD differed significantly by first symptom (P < .001), number of symptoms (P < .001), and first physician specialty seen (P < .001). In a multivariable analysis, TTD differed significantly according to race/ethnicity (P < .001), geographic region (P = .001), urban-rural location (P = .031), emergency room presentation (P < .001), and number of specialties seen (P < .001). A shorter TTD was associated with a diagnosis in 2006-2010 (relative risk [RR], 0.92; 95% confidence interval [CI], 0.87-0.98) or 2011-2015 (RR, 0.87; 95% CI, 0.81-0.93) in comparison with 1992-1999.

CONCLUSIONS

The time from a symptomatic presentation to care to a diagnosis of ovarian cancer is influenced by clinical and demographic variables. This study's findings reinforce the importance of educating all physicians on ovarian cancer symptoms to aid in diagnosis.

LAY SUMMARY

Ovarian cancer is often diagnosed once disease has spread because the classic symptoms of ovarian cancer-abdominal or pelvic pain, bloating, difficulty eating, and urinary issues-can be mistaken for other problems. This study examined the time between when women with classic ovarian cancer symptoms went to a physician and when they received a cancer diagnosis in a large database population. The authors found that the time to diagnosis differed according to the type and number of symptoms and what type of physician a woman saw as well as factors such as race, geographic location, and year of diagnosis.

Cardioprotective medication use in Black and white breast cancer survivors

PURPOSE

Racial disparities in cardiovascular disease and cardiac dysfunction exist amongst breast cancer survivors. This study examined the prevalence of cardioprotective medication use in survivors and identified factors associated with use by race.

METHODS

The analysis included women enrolled in the Women's Hormonal Initiation and Persistence study, a longitudinal observational trial of breast cancer survivors. The study outcome, angiotensin converting enzyme inhibitor (ACEi) or ß-Blocker (BB) use, were ascertained from pharmacy records. Demographic, psychosocial, healthcare, and quality of life factors were collected from surveys and clinical data were abstracted from medical records. Bivariate associations by race and ACEi/BB use were tested using chi square and t tests; logistic regression evaluated multivariable-adjusted associations.

RESULTS

Of the 246 survivors in the sample, 33.3% were Black and most were < 65 years of age (58.4%). Most survivors were hypertensive (57.6%) and one-third received ACEi/BBs. In unadjusted analysis, White women (vs. Black) (OR 0.33, 95% 0.19-0.58) and women with higher ratings of functional wellbeing (OR 0.94, 95% 0.89-0.99) were less likely to use ACEi/BBs. Satisfaction with provider communication was only significant for White women. In multivariable-adjusted analysis, ACEi/BB use did not differ by race. Correlates of ACEi/BB use included hypertension among all women and older age for Black women only.

CONCLUSIONS

After adjusting for age and comorbidities, no differences by race in ACEi/BB use were observed. Hypertension was a major contributor of ACEi/BB use in BC survivors.

Ambient air pollution and ovarian cancer survival in California

OBJECTIVE

To examine whether exposure to ambient ozone, particulate matter with diameter less than 2.5 μm (PM_2.5), nitrogen dioxide (NO₂), and distance to major roadways (DTR) impact ovarian cancer-specific survival, while considering differences by stage, race/ethnicity, and socioeconomic status.

METHODS

Women diagnosed with epithelial ovarian cancer from 1996 to 2014 were identified through the California Cancer Registry and followed through 2016. Women's geocoded addresses were linked to pollutant exposure data and averaged over the follow-up period. Pollutants were considered independently and in multi-pollutant models. Cox proportional hazards models assessed hazards of disease-specific death due to environmental exposures, controlling for important covariates, with additional models stratified by stage at diagnosis, race/ethnicity and socioeconomic status.

RESULTS

PM_2.5 and NO₂, but not ozone or DTR, were significantly associated with survival in univariate models. In a multi-pollutant model for PM_2.5, ozone, and DTR, an interquartile range increase in PM_2.5 (Hazard Ratio [HR], 1.45; 95% Confidence Interval [CI], 1.41-1.49) was associated with worse prognosis. Similarly, in the multi-pollutant model with NO₂, ozone, and DTR, women with higher NO₂ exposures (HR for 20.0-30.0 ppb, 1.30; 95% CI, 1.25-1.36 and HR for >30.0 ppb, 2.48; 95% CI, 2.32-2.66) had greater mortality compared to the lowest exposed (<20.0 ppb). Stratified results show the effects of the pollutants differed by race/ethnicity and were magnified among women diagnosed in early stages.

CONCLUSIONS

Our analyses suggest that greater exposure to NO₂ and PM_2.5 may adversely impact ovarian cancer-specific survival, independent of sociodemographic and treatment factors. These findings warrant further study.

Disparities in ovarian cancer treatment and overall survival according to race: An update

OBJECTIVE

To determine whether guideline non-adherence is associated with Black race.

METHODS

A retrospective review of National Cancer Database records of women diagnosed with epithelial ovarian cancer from 2012 to 2016 who identified as "White" or "Black" was performed. Exposure was adherence or non-adherence to National Comprehensive Cancer Network guidelines for treatment. Outcomes were differences in disease characteristics and overall survival in months.

RESULTS

Of the 29,948 eligible patients, 93% (n = 27,744) were White and 7% (n = 2204) were Black. Having stage IV disease (OR 1.45, 95% CI 1.23-1.70; P < 0.001) and treatment in a comprehensive (OR 1.58, 95% CI 1.16-2.15; P = 0.0039) or academic (OR 2.30, 95% CI 1.70-3.12; P < 0.001) treatment facility were associated with Black race. Adherence to guidelines did not predict Black race (OR for adherence 1.0021, 95% CI 0.89-1.13; P = 0.97). Median survival for White patients with adherent care was 63.4 months and 51.4 months for Black patients (P = 0.0001). Median survival for White patients with non-adherent care was 60.5 months and 47.2 months for Black patients (P < 0.0001). Median overall survival was 61.1 months in White patients and 49.3 months in Black patients (P < 0.0001).

CONCLUSIONS

Our data suggest that while Black patients and patients who receive non-NCCN guideline directed care have worse survival outcomes, guideline adherence is not independently associated with Black race. We must consider other socioeconomic, environmental and system factors that are contributing to the survival discrepancy in Black patients with ovarian cancer.

Adherence to treatment guidelines as a major determinant of survival disparities between black and white patients with ovarian cancer

OBJECTIVE

To evaluate whether non-adherence to National Comprehensive Cancer Network (NCCN) treatment guidelines and other factors related to treatment access contribute to racial disparities in ovarian cancer survival.

METHODS

This large cohort study included patients from the National Cancer Database who were diagnosed with ovarian cancer between 2004 and 2014, with follow-up data up to 2017. The multivariable Cox regression was used to assess the effect of study variables on five-year overall survival. The proportion contributions of prognostic factors to the survival disparities were estimated using individual and sequential adjustment of these factors based on the Cox proportional hazards models.

RESULTS

Of the 120,712 patients eligible for this study, 110,032 (91.1%) were whites and 10,680 (8.9%) were blacks. Black patients, compared with their white counterparts, had a lower adherence to NCCN guidelines (60.8% vs. 70.4%, respectively, P < 0.001), and a higher five-year mortality after cancer diagnosis (age- and tumor characteristics- adjusted hazard ratio: 1.22, 95% confidence interval: 1.19-1.25). Non-adherence to NCCN treatment guidelines was the most significant contributor to racial disparity in ovarian cancer survival, followed by access to care and comorbidity, each explaining 36.4%, 22.7%, and 18.2% of the racial differences in five-year overall survival, respectively. These factors combined explain 59.1% of racial survival disparities. Risk factors identified for non-adherence to treatment guidelines among blacks include insurance status, treatment facility type, educational attainment, age, and comorbidity.

CONCLUSIONS

Adherence status to NCCN treatment guidelines is the most important contributor to the survival disparities between black and white patients with ovarian cancer. Our findings call for measures to promote equitable access to guideline-adherence care to improve the survival of black women with ovarian cancer.

Ovarian cancer in California: Guideline adherence, survival, and the impact of geographic location, 1996-2014

BACKGROUND

Evidence suggests that geographic location may independently contribute to ovarian cancer survival. We aimed to investigate how the association between residential location and ovarian cancer-specific survival in California varies by race/ethnicity and socioeconomic status.

METHODS

Additive Cox proportional hazard models were used to predict hazard ratios (HRs) and 95% confidence intervals (CI) for the association between geographic location throughout California and survival among 29,844 women diagnosed with epithelial ovarian cancer between 1996 and 2014. We conducted permutation tests to determine a global P-value for significance of location. Adjusted analyses considered distance traveled for care, distance to closest high-quality-of-care hospital, and receipt of National Comprehensive Cancer Network guideline care. Models were also stratified by stage, race/ethnicity, and socioeconomic status.

RESULTS

Location was significant in unadjusted models (P = 0.009 among all stages) but not in adjusted models (P = 0.20). HRs ranged from 0.81 (95% CI: 0.70, 0.93) in Southern Central Valley to 1.41 (95% CI: 1.15, 1.73) in Northern California but were attenuated after adjustment (maximum HR = 1.17, 95% CI: 1.08, 1.27). Better survival was generally observed for patients traveling longer distances for care. Associations between survival and proximity to closest high-quality-of-care hospitals were null except for women of lowest socioeconomic status living furthest away (HR = 1.22, 95% CI: 1.03, 1.43).

CONCLUSIONS

Overall, geographic variations observed in ovarian cancer-specific survival were due to important predictors such as receiving guideline-adherent care. Improving access to expert care and ensuring receipt of guideline-adherent treatment should be priorities in optimizing ovarian cancer survival.

Relationship status and other demographic influences on survival in patients with ovarian cancer

OBJECTIVE

To evaluate the influence of marital status and other demographic factors on survival of patients with ovarian cancer.

STUDY DESIGN

Data were obtained from the Surveillance, Epidemiology, and End Results database from 2010 to 2015. Analyses were performed using Kaplan-Meier and multivariate Cox proportional hazard methods.

RESULTS

Of 19 643 patients with ovarian cancer (median age 60 years, range 18-99), 16 278 (83%), 1381 (7%), 1856 (9%), and 128 (1%) were White, Black, Asian, and Native American, respectively. The majority of patients (10 769, 55%) were married while 4155 (21%) were single, 2278 (12%) were divorced, and 2441 (12%) were widowed. Patients were more likely to be married if they were Asian (65%) or White (56%) than if they were Black (31%) or Native American (39%) (p<0.001). Most married patients were insured (n=9760 (91%), non-Medicaid) compared with 3002 (72%) of single, 1777 (78%) divorced, and 2102 (86%) of widowed patients (p<0.001). Married patients were more likely to receive chemotherapy than single, divorced, and widowed patients (8515 (79%) vs 3000 (72%), 1747 (77%), and 1650 (68%), respectively; p<0.001). The 5-year disease-specific survival of the overall group was 58%. Married patients had improved survival of 60% compared with divorced (52%) and widowed (44%) patients (p<0.001). On multivariate analysis, older age (HR 1.02, 95% CI 1.016 to 1.021, p<0.001), Black race (HR 1.24, 95% CI 1.11 to 1.38, p<0.001), and Medicaid (HR 1.19, 95% CI 1.09 to 1.30, p<0.001) or uninsured status (HR 1.23, 95% CI 1.05 to 1.44, p<0.01) carried a worse prognosis. Single (HR 1.17, 95% CI 1.08 to 1.26, p<0.001), divorced (HR 1.14, 95% CI 1.04 to 1.25, p<0.01), and widowed (HR 1.16, 95% CI 1.06 to 1.26, p<0.001) patients had decreased survival.

CONCLUSION

Married patients with ovarian cancer were more likely to undergo chemotherapy with better survival rates. Black, uninsured, or patients with Medicaid insurance had poorer outcomes.

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.

Travel distance, hospital volume and their association with ovarian cancer short- and long-term outcomes

OBJECTIVE

To examine patterns of patient travel among women with ovarian cancer and to explore the association between travel distance and short and long-term outcomes.

METHODS

Women with stage II-IV epithelial ovarian cancer diagnosed from 2004 to 2016 who underwent primary surgery were identified in the National Cancer Database. Mixed-effect log-linear models and proportional hazards models were developed to evaluate the association between travel distance and short and long-term outcomes after propensity score weighting. A further analysis was performed to compare patients who traveled a short distance to a low volume center (Local) to patients who traveled farther to a high volume hospital (Travel).

RESULTS

We identified 56,834 patients treated in 1201 hospitals. Hispanic women were 58% and black women 64% less likely than white women to travel to a center in the greatest distance quartile for care. Similarly, Medicaid recipients (vs. commercially insured) were less likely to travel to a quartile four hospital (compared to Q1 of distance traveled). Of all patients, 90-day mortality was significantly lower in patients who traveled farther (Q4 vs. Q1; P < 0.0001). Compared to women in the Local group, patients in the Travel group had a decreased 30-day readmission rate. There was no difference in 30-day, 90-day, or 5-year mortality when comparing the Local to the Travel group.

CONCLUSIONS

Travel distance for ovarian cancer surgery has increased over time. While there may be some short-term benefits in traveling to a regional center for care, there was little difference in long term outcomes based on travel distance.

Racial and ethnic disparities in the overall survival of women with epithelial ovarian cancer in Florida, 2001-2015

Many studies have focused on white and black disparities in epithelial ovarian cancer (EOC) but fewer include Hispanics. Florida presents a unique opportunity to study racial/ethnic disparities. This study examined racial/ethnic disparities in the overall survival of women with EOC in Florida by histology. All EOC cases from 2001 through 2015 were identified in the Florida Cancer Database System (FCDS). Survival curves by race/ethnicity and histology were generated by Kaplan-Meier methods. Cox regression evaluated the associations between race/ethnicity, histology, and survival. Eligible EOC cases (n = 21,721) identified in the 2001-2015 FCDS were included in the study. The median survival for non-Hispanic whites (NHWs), non-Hispanic blacks (NHBs), and Hispanics was 31, 21, and 35 months, respectively (p < 0.001). NHB had an increased [AHR 1.23 (95% CI 1.15, 1.30)] and Hispanics a nonsignificant decreased hazard [AHR 0.96 (95% CI 0.91, 1.02)] of death compared to NHW after controlling for other demographic, treatment, and tumor characteristics. Relative to NHWs, NBH had worse survival while Hispanics had equivalent survival. Future research should consider evaluating genetic and epigenetic modifications, and prevalence of cancer syndromes to further elucidate the etiologies of disease in these disparate populations.

Failure to administer recommended chemotherapy: acceptable variation or cancer care quality blind spot?

BACKGROUND

Chemotherapy quality measures consider hospitals compliant when chemotherapy is recommended, even if it is not received. This may mask shortcomings in cancer care delivery. Objectives of this study were to (1) identify patient factors associated with failure to receive recommended chemotherapy without a documented contraindication and (2) assess hospital variation in failure to administer recommended chemotherapy.

METHODS

Patients from 2005 to 2015 with breast, colon and lung cancers who failed to receive recommended chemotherapy were identified using the National Cancer Database. Hospital-level rates of failure to administer recommended chemotherapy were calculated, and patient and hospital factors associated with failure to receive recommended chemotherapy were identified by multivariable logistic regression.

RESULTS

A total of 183 148 patients at 1281 hospitals were analysed. Overall, 3.5% of patients with breast, 6.6% with colon and 10.7% with lung cancers failed to receive recommended chemotherapy. Patients were less likely to receive recommended chemotherapy in all cancers if uninsured or on Medicaid (p<0.05), as were non-Hispanic black patients with both breast and colon cancer (p<0.001). Significant hospital variation was observed, with hospital-level rates of failure to administer recommended chemotherapy as high as 21.8% in breast, 40.2% in colon and 40.0% in lung cancers.

CONCLUSIONS AND RELEVANCE

Though overall rates are low, failure to receive recommended chemotherapy is associated with sociodemographic factors. Hospital variation in failure to administer recommended chemotherapy is masked by current quality measure definitions and may define a significant and unmeasured difference in hospital quality.