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

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Associations between race and ethnicity and treatment setting among gynecologic cancer patients

INTRODUCTION

Racial and ethnic disparities in gynecologic cancer care have been documented. Treatment at academic facilities is associated with improved survival, yet no study has examined independent associations between race and ethnicity with facility type among gynecologic cancer patients.

MATERIALS & METHODS

We used the National Cancer Database and identified 484,455 gynecologic cancer (cervix, ovarian, uterine) patients diagnosed between 2004 and 2020. Facility type was dichotomized as academic vs. non-academic, and we used logistic regression to estimate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) between race and ethnicity and facility type. Secondarily, we examined joint effects of race and ethnicity and facility type on overall survival using Cox proportional hazards regression.

RESULTS

We observed higher odds of treatment at academic (vs. non-academic) facilities among American Indian/Alaska Native (OR = 1.42, 95% CI = 1.28-1.57), Asian (OR = 1.64, 95% CI = 1.59-1.70), Black (OR = 1.69, 95% CI = 1.65-1.72), Hispanic (OR = 1.70, 95% CI = 1.66-1.75), Native Hawaiian/Pacific Islander (OR = 1.74, 95% CI = 1.57-1.93), and other race (OR = 1.29, 95% CI = 1.20-1.40) patients compared with White patients. In the joint effects survival analysis with White, academic facility-treated patients as the reference group, Asian, Hispanic, and other race patients treated at academic or non-academic facilities had improved overall survival. Conversely, Black patients treated at academic facilities [Hazard Ratio (HR) = 1.10, 95% CI = 1.07-1.12] or non-academic facilities (HR = 1.19, 95% CI = 1.16-1.21) had worse survival.

DISCUSSION

Minoritized gynecologic cancer patients were more likely than White patients to receive treatment at academic facilities. Importantly, survival outcomes among patients receiving care at academic institutions differed by race, requiring research to investigate intra-facility survival disparities.

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.

Risk Factors and Survival Impact Associated With Documentation of Radiation Therapy Refusal in Patients With Gynecologic Cancer

PURPOSE

Radiation therapy (RT) refusal is known to have deleterious effects on survival for multiple cancer types. Factors associated with RT refusal by patients with gynecologic malignancies have not been well described. This study aimed to examine factors associated with and the survival impact of documented RT refusal among patients with gynecologic cancers.

METHODS AND MATERIALS

This study analyzed data from the National Cancer Database (NCDB) of patients with gynecologic cancers diagnosed between 2004 and 2020. Patients were included if they had complete survival data and a documented RT recommendation by their treating physician in the NCDB. Patients coded as received RT were compared with those coded as refused RT in the NCDB using a multivariate log binomial regression with robust variance to yield incidence rate ratios (IRR). Overall survival was analyzed using a multivariate (MV) Cox proportional hazards model to yield hazard ratios.

RESULTS

This study identified 209,976 patients. A total of 5.75% (n = 12,081) patients were coded as refusing RT. Multivariable IRR showed that documentation of RT refusal was positively associated with older age (MV IRR, 1.04; 95% CI, 1.041-1.045), Native Hawaiian Pacific Islander race (1.72 [1.27-2.32]), and increased morbidity (score = 1: 1.06 [1.02-1.11]; score = 2: 1.20 [1.12-1.29]; score ≥3: 1.26 [1.14-1.38]). Negative associations were seen with Hispanic ethnicity (0.74 [0.67-0.80]), having insurance (0.58 [0.53-0.63]), and annual income >$74,063 (0.85 [0.81-0.90]). During the 16-year period, a statistically significant test for trend (P = .001) for increasing RT refusal was noted. RT refusal was associated with a significantly higher risk of death (MV hazard ratio, 1.59 [1.55-1.63]).

CONCLUSIONS

For patients with gynecologic malignancies diagnosed from 2004 to 2020, an increase in documented RT refusal is associated with decreased overall survival in all disease types. Targeted interventions aimed at mitigating potential sociodemographic barriers to receipt of RT are warranted.

Prognosis and conditional survival among women with newly diagnosed ovarian cancer

OBJECTIVE

An important question in determining long-term prognosis for women with ovarian cancer is whether risk of death changes the longer a woman lives. Large real-world datasets permit assessment of conditional survival (CS) given both prior overall survival (OS) and real-world progression-free survival (rwPFS).

METHODS

Using a longitudinal dataset from US oncology centers, this study included 6778 women with ovarian cancer. We calculated CS rates as the Kaplan-Meier probability of surviving an additional 1 or 5 years, given no mortality (OS) or disease progression (rwPFS) event in the previous 0.5-5 years since first-line chemotherapy initiation, adjusted for factors associated with OS based on multivariable Cox regression.

RESULTS

Median study follow-up was 9 years (range, 1-44) from first-line initiation to data cutoff (17-Feb-2021). Median OS was 58.0 months (95% CI, 54.9-60.8); median rwPFS was 18.4 months (17.4-19.4). The adjusted 1-year CS rate (ie, rate of 1 year additional survival) did not vary based on time alive, whereas the adjusted 5-year CS rate increased from 48.5% (47.0%-50.1%) for women who had already survived 6 months to 66.4% (63.3%-69.6%) for those already surviving 5 years (thus surviving 10 years total). The adjusted 1-year CS rate increased from 90.4% (89.5%-91.4%) with no rwPFS event at 6 months to 97.6% (96.4%-98.8%) with no rwPFS event at 5 years; adjusted 5-year CS rate increased from 53.7% (52.0%-55.5%) to 85.0% (81.2%-88.9%), respectively.

CONCLUSIONS

This analysis extends the concept of CS by also conditioning on time progression-free. Patients with longer rwPFS experience longer survival than patients with shorter rwPFS.

Trends in adoption of total neoadjuvant therapy for locally advanced rectal cancer

BACKGROUND

Total neoadjuvant chemoradiation (TNT), an accepted strategy for the treatment of locally advanced rectal cancer (LARC), was first included in guidelines in 2018. We aimed to describe trends in, and factors associated with TNT receipt.

METHODS

A retrospective cohort study of adult patients with LARC was performed using the national cancer database (2012-2020). TNT status was determined, and temporal trends analyzed. Factors associated with TNT receipt were identified by stage.

RESULTS

A total of 51,407 patients were identified; 57.3 ​% received TNT. Increasing age and comorbidities were associated with higher rates of TNT receipt. Patients with stage III disease were more likely to receive TNT (stage II OR 0.92, 95%CI 0.88-0.96). Patients were 38 ​% more likely to get TNT after guideline inclusion (OR1.38, 95%CI 1.31-1.46).

CONCLUSION

Rates of TNT were consistently above 50 ​% and rose after inclusion in the NCCN guidelines. This study establishes baseline patterns in rates of TNT for future benchmarking.

Disparities in Gynecologic Cancers

ABSTRACT

Gynecologic cancer disparities have different trends by cancer type and by sociodemographic/economic factors. We highlight disparities in the United States arising due to poor delivery of cancer care across the continuum from primary prevention, detection, and diagnosis through treatment and identify opportunities to eliminate/reduce disparities to achieve cancer health equity. Our review documents the persistent racial and ethnic disparities in cervical, ovarian, and uterine cancer outcomes, with Black patients experiencing the worst outcomes, and notes literature investigating social determinants of health, particularly access to care. Although timely delivery of screening and diagnostic evaluation is of paramount importance for cervical cancer, efforts for ovarian and uterine cancer need to focus on timely recognition of symptoms, diagnostic evaluation, and delivery of guideline-concordant cancer treatment, including tumor biomarker and somatic/germline genetic testing.

Impact of Adherence to Operative Standards and Stage-Specific Guideline-Recommended Therapy in Nonmetastatic Pancreatic Adenocarcinoma

BACKGROUND

Achieving optimal surgical outcomes in pancreatic adenocarcinoma requires a combination of both curative-intent resection to oncologic standards and stage-specific neoadjuvant or adjuvant therapy. This investigation sought to examine factors associated with receipt of standard-adherent surgery (SAS) and guideline-recommended therapy (GRT) and determine the impact of compliance on patient survival.

PATIENTS AND METHODS

From the 2006-2016 National Cancer Database, 21,304 patients underwent resection for nonmetastatic pancreatic adenocarcinoma. SAS was defined as pancreatic resection with negative margins and ≥ 15 lymph nodes examined. Stage-specific GRT was defined by current National Comprehensive Cancer Network guidelines. Multivariable models were used to determine predictors of adherence to SAS and GRT and prognostic impact on overall survival.

RESULTS

Overall, SAS was achieved in 39% and GRT in 65% of patients, but only 30% received both SAS and GRT. Increasing age, minority race, uninsured status, and greater comorbidities were associated with a decreased odds of receiving both SAS and GRT (all p < 0.05). SAS (HR 0.79; CI 0.76-0.81; p < 0.001) and GRT (HR 0.67; CI 0.65-0.69; p < 0.001) were each independently associated with a survival advantage. Receipt of both SAS and GRT was associated with significant improvement in median OS compared with receiving neither (2.2 years vs 1.1 years; p < 0.001) which was independently associated with a 78% increased risk of death (HR 1.78; CI 1.70-1.86; p < 0.001).

CONCLUSIONS

Despite survival benefits associated with adherence to operative standards and receipt of guideline-recommended therapy, compliance remains poor. Future efforts must be directed toward improved education and implementation efforts around both operative standards and therapy guidelines.

Comparison of Enhanced Recovery After Surgery (ERAS) metrics by race among gynecologic oncology patients: Ensuring equitable outcomes

OBJECTIVES

Race and ethnicity are not routinely audited in Enhanced Recovery After Surgery (ERAS) pathways. Given known racial disparities in outcomes in gynecologic oncology, the purpose of this study was to compare differences in ERAS implementation and outcomes by race.

METHODS

A cohort study was performed among gynecologic oncology patients enrolled in an ERAS pathway at one academic institution from March 2017 to December 2021. Compliance with ERAS metrics, postoperative complications, 30-day survival, reoperations, intensive care unit (ICU) transfers, and readmissions within 30 days were compared by race.

RESULTS

Of 1083 patients (17.0% non-white), non-white women were younger (54.2 years ±13.1 vs. 60.7 years ±13.6, p < 0.001) and proportionally fewer spoke English (75.0% vs. 97.8%, p < 0.001). Fewer non-white women received preadmission ERAS education (73.4% vs. 79.9%, p = 0.05). There were no differences in ERAS implementation by race, including similar rates of preoperative nutritional assessment, carbohydrate loading, antibiotic and thrombosis prophylaxis, and unplanned surgeries by race. There were no differences in complications, reoperations, ICU transfers, or readmissions by race on univariate and multivariate analysis. Four non-white (2.2%) and two white women (0.2%, p = 0.009) died within 30 days of surgery.

CONCLUSIONS

Fewer non-white women received preadmission education, possibly due to language barriers. ERAS compliance, postoperative complications, readmissions, reoperations, and ICU transfers did not differ by race. There were two additional deaths within 30 days postoperatively among non-white women compared to white women - which is difficult to interpret given the rarity of perioperative mortality - but appeared unlikely to be related to differences in ERAS protocol implementation. ERAS programs should ensure educational materials are translated into various languages and audit metrics by race to ensure equitable outcomes.

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.

Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis

BACKGROUND

Ovarian cancer survival disparities have persisted for decades, driven by lack of access to quality treatment. We conducted structural equation modeling (SEM) to define latent variables representing three healthcare access (HCA) domains: affordability, availability, and accessibility, and evaluated the direct and indirect associations between race and ovarian cancer treatment mediated through the HCA domains.

METHODS

Patients with ovarian cancer ages 65 years or older diagnosed between 2008 and 2015 were identified from the SEER-Medicare dataset. Generalized SEM was used to estimate latent variables representing HCA domains by race in relation to two measures of ovarian cancer-treatment quality: gynecologic oncology consultation and receipt of any ovarian cancer surgery.

RESULTS

A total of 8,987 patients with ovarian cancer were included in the analysis; 7% were Black. The affordability [Ω: 0.876; average variance extracted (AVE) = 0.689], availability (Ω: 0.848; AVE = 0.636), and accessibility (Ω: 0.798; AVE = 0.634) latent variables showed high composite reliability in SEM analysis. Black patients had lower affordability and availability, but higher accessibility compared with non-Black patients. In fully adjusted models, there was no direct effect observed between Black race to receipt of surgery [β: -0.044; 95% confidence interval (CI), -0.264 to 0.149]; however, there was an inverse total effect (β: -0.243; 95% CI, -0.079 to -0.011) that was driven by HCA affordability (β: -0.025; 95% CI, -0.036 to -0.013), as well as pathways that included availability and consultation with a gynecologist oncologist.

CONCLUSIONS

Racial differences in ovarian cancer treatment appear to be driven by latent variables representing healthcare affordability, availability, and accessibility.

IMPACT

Strategies to mitigate disparities in multiple HCA domains will be transformative in advancing equity in cancer treatment.

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.

Medicaid expansion and 2-year survival in women with gynecologic cancer: a difference-in-difference analysis

BACKGROUND

The Affordable Care Act implemented optional Medicaid expansion starting in 2014, but the association between Medicaid expansion and gynecologic cancer survival is unknown.

OBJECTIVE

To evaluate the impact of Medicaid expansion by comparing 2-year survival among gynecologic cancers before and after 2014 in states that did and did not expand Medicaid using a difference-in-difference analysis.

STUDY DESIGN

We searched the National Cancer Database for women aged 40 to 64 years, diagnosed with a primary gynecologic malignancy (endometrial, ovarian, cervical, vulvar, and vaginal) between 2010 and 2016. We used a quasiexperimental difference-in-difference multivariable Cox regression analysis to compare 2-year survival between states that expanded Medicaid in January 2014 and states that did not expand Medicaid as of 2016. We performed univariable subgroup difference-in-difference Cox regression analyses on the basis of stage, income, race, ethnicity, and geographic location. Adjusted linear difference-in-difference regressions evaluated the proportion of uninsured patients on the basis of expansion status after 2014. We evaluated adjusted Kaplan-Meier curves to examine differences on the basis of study period and expansion status.

RESULTS

Our sample included 169,731 women, including 78,669 (46.3%) in expansion states and 91,062 (53.7%) in nonexpansion states. There was improved 2-year survival on adjusted difference-in-difference Cox regressions for women with ovarian cancer in expansion than in nonexpansion states after 2014 (hazard ratio, 0.88; 95% confidence interval, 0.82-0.94; P<.001) with no differences in endometrial, cervical, vaginal, vulvar, or combined gynecologic cancer sites on the basis of expansion status. On univariable subgroup difference-in-difference Cox analyses, women with ovarian cancer with stage III-IV disease (P=.008), non-Hispanic ethnicity (P=.042), those in the South (P=.016), and women with vulvar cancer in the Northeast (P=.022), had improved 2-year survival in expansion than in nonexpansion states after 2014. In contrast, women with cervical cancer in the South (P=.018) had worse 2-year survival in expansion than in nonexpansion states after 2014. All cancer sites had lower proportions of uninsured patients in expansion than in nonexpansion states after 2014.

CONCLUSION

There was a significant association between Medicaid expansion and improved 2-year survival for women with ovarian cancer in states that expanded Medicaid after 2014. Despite improved insurance coverage, racial, ethnic, and regional survival differences exist between expansion and nonexpansion states.

Application Value of Combined Detection of DCE-MRI and Serum Tumor Markers HE4, Ki67, and HK10 in the Diagnosis of Ovarian Cancer

Objective

To investigate the application value of the combined detection of DCE-MRI and serum tumor markers (HE4, Ki67, and HK10) in the diagnosis of ovarian cancer.

Methods

The clinical data of 40 patients with advanced ovarian cancer (AOC) confirmed by surgery and pathology in our hospital from February 2019 to February 2020 were retrospectively analyzed. All patients received DCE-MRI, the detection of serum tumor markers HE4, Ki67, and HK10, and the combined detection of DCE-MRI and the serum tumor markers (HE4, Ki67, and HK10). The application value of the three detection methods was analyzed.

Results

The number of true positives in the single detection (DCE-MRI detection and the detection of serum HE4, Ki67, and HK10) was notably lower than that in the combined detection. The sensitivity, specificity, and accuracy of the single detection were notably lower compared with the combined detection. The area under the curve in the ROC of the combined detection was notably larger than that of the single detection. The results of the combined detection were better than those of the single detection (P < 0.05), with the highest sensitivity of the combined detection.

Conclusion

The combined detection of DCE-MRI and the serum tumor markers (HE4, Ki67, and HK10) can effectively improve the diagnostic accuracy of AOC patients, with high sensitivity and specificity, which has an important diagnostic value in clinic.

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.

Patient activation and treatment decision-making in the context of cancer: examining the contribution of informal caregivers' involvement

PURPOSE

The present work investigated the relationship between patient activation, treatment decision-making, and adherence to the prescribed treatment regimen. Given the role of informal caregivers in patient-reported outcomes, it was additionally assessed whether caregiver involvement acted as a moderator of this relationship.

METHODS

Survey data collected from 504 cancer survivors were utilized. Structural equation modeling (SEM) controlling for covariates was used to examine the relationship between patient activation measure (PAM), caregiver involvement, and the identified outcomes. Moderator analysis was conducted using multiple group SEM.

RESULTS

Patient activation was significantly associated with treatment planning being reflective of survivors' goals and values (p < 0.001); adherence to treatment (p = 0.011); and satisfaction (p < 0.001). Caregiver's involvement significantly moderated the association between activation and adherence to treatment.

CONCLUSIONS

Patient activation was positively associated with all three selected outcomes. However, for cancer survivors reporting low rates of caregiver's involvement, patient activation was not associated with treatment adherence. Research is needed to test and deliver self-management interventions inclusive of informal caregivers.

IMPLICATIONS FOR CANCER SURVIVORS

Findings supported the need not only to monitor and sustain patient activation across the cancer continuum, but also to assume a dyadic perspective when designing self-management interventions in cancer survivorship.

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.

Tumour Microenvironment: Roles of the Aryl Hydrocarbon Receptor, O-GlcNAcylation, Acetyl-CoA and Melatonergic Pathway in Regulating Dynamic Metabolic Interactions across Cell Types-Tumour Microenvironment and Metabolism

This article reviews the dynamic interactions of the tumour microenvironment, highlighting the roles of acetyl-CoA and melatonergic pathway regulation in determining the interactions between oxidative phosphorylation (OXPHOS) and glycolysis across the array of cells forming the tumour microenvironment. Many of the factors associated with tumour progression and immune resistance, such as yin yang (YY)1 and glycogen synthase kinase (GSK)3β, regulate acetyl-CoA and the melatonergic pathway, thereby having significant impacts on the dynamic interactions of the different types of cells present in the tumour microenvironment. The association of the aryl hydrocarbon receptor (AhR) with immune suppression in the tumour microenvironment may be mediated by the AhR-induced cytochrome P450 (CYP)1b1-driven 'backward' conversion of melatonin to its immediate precursor N-acetylserotonin (NAS). NAS within tumours and released from tumour microenvironment cells activates the brain-derived neurotrophic factor (BDNF) receptor, TrkB, thereby increasing the survival and proliferation of cancer stem-like cells. Acetyl-CoA is a crucial co-substrate for initiation of the melatonergic pathway, as well as co-ordinating the interactions of OXPHOS and glycolysis in all cells of the tumour microenvironment. This provides a model of the tumour microenvironment that emphasises the roles of acetyl-CoA and the melatonergic pathway in shaping the dynamic intercellular metabolic interactions of the various cells within the tumour microenvironment. The potentiation of YY1 and GSK3β by O-GlcNAcylation will drive changes in metabolism in tumours and tumour microenvironment cells in association with their regulation of the melatonergic pathway. The emphasis on metabolic interactions across cell types in the tumour microenvironment provides novel future research and treatment directions.