Racial Disparity in Time Between First Diagnosis and Initial Treatment of Prostate Cancer

Genomics in active surveillance and post-prostatectomy patients: A review of when and how to use effectively

PURPOSE OF REVIEW

Prostate cancer (PCa) represents a significant health burden globally, ranking as the most diagnosed cancer among men and a leading cause of cancer-related mortality. Conventional treatment methods such as radiation therapy or radical prostatectomy have significant side effects which often impact quality of life. As our understanding of the natural history and progression of PCa has evolved, so has the evolution of management options.

RECENT FINDINGS

Active surveillance (AS) has become an increasingly favored approach to the management of very low, low, and properly selected favorable intermediate risk PCa. AS permits ongoing observation and postpones intervention until definitive treatment is required. There are, however, challenges with selecting patients for AS, which further emphasizes the need for more precise tools to better risk stratify patients and choose candidates more accurately. Tissue-based biomarkers, such as ProMark, Prolaris, GPS (formerly Oncotype DX), and Decipher, are valuable because they improve the accuracy of patient selection for AS and offer important information on the prognosis and severity of disease. By enabling patients to be categorized according to their risk profiles, these biomarkers help physicians and patients make better informed treatment choices and lower the possibility of overtreatment. Even with their potential, further standardization and validation of these biomarkers is required to guarantee their broad clinical utility. Active surveillance has emerged as a preferred strategy for managing low-risk prostate cancer, and tissue-based biomarkers play a crucial role in refining patient selection and risk stratification. Standardization and validation of these biomarkers are essential to ensure their widespread clinical use and optimize patient outcomes.

Real-World Clinical Outcomes and Treatment Patterns Among Black and Non-Black Patients With Prostate Cancer Initiated on Apalutamide in a Urology Setting

Background: The use of androgen receptor signaling inhibitors, including apalutamide, in combination with androgen deprivation therapy is recommended for the treatment of metastatic castration-sensitive prostate cancer (mCSPC) and non-metastatic castration-resistant prostate cancer (nmCRPC). Objective: To describe real-world treatment patterns and clinical outcomes among patients with mCSPC or nmCRPC who initiated apalutamide in the United States. Methods: A retrospective cohort study of patients with mCSPC or nmCRPC who initiated apalutamide was conducted using electronic medical record data from US community-based urology practices (Feb. 1, 2017-April 1, 2022). Persistence with apalutamide was reported at 6-, 12-, and 18-months post treatment initiation. Clinical outcomes described up to 24 months after apalutamide initiation using Kaplan-Meier analyses included progression to castration resistance, castration resistance-free survival (CRFS), and metastasis-free survival (MFS). Outcomes were reported separately based on mCSPC or nmCRPC status and race (ie, Black or non-Black). Results: This study included 589 patients with mCSPC (mean age, 75.9 years) and 406 patients with nmCRPC (mean age, 78.8 years). Using a treatment gap of >90 days, persistence with apalutamide at 12 months remained high for both the mCSPC (94.9%) and nmCRPC (92.7%) cohorts, and results were descriptively similar among Black and non-Black patients, and when a treatment gap of >60 days was considered. In patients with mCSPC, overall progression to castration resistance rates at 12 and 24 months were 20.9% and 33.5%, and overall CRFS rates were 76.2% and 62.0%, respectively. In patients with nmCRPC, overall MFS rates at 12 and 24 months were 89.7% and 75.4%, respectively. Rates of these clinical outcomes were descriptively similar between Black and non-Black patients. Discussion: While clinical trials have demonstrated the efficacy and safety of apalutamide, there is limited real-world data describing treatment persistence and clinical outcomes among patients with mCSPC and nmCRPC who initiated apalutamide. Conclusions: In this real-world study of patients with mCSPC or nmCRPC initiated on apalutamide, treatment persistence was high and apalutamide demonstrated robust real-world effectiveness with respect to progression to castration resistance, CRFS, and MFS, overall and among Black and non-Black patients.

Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias

Objectives

1.1Biases inherent in electronic health records (EHRs), and therefore in medical artificial intelligence (AI) models may significantly exacerbate health inequities and challenge the adoption of ethical and responsible AI in healthcare. Biases arise from multiple sources, some of which are not as documented in the literature. Biases are encoded in how the data has been collected and labeled, by implicit and unconscious biases of clinicians, or by the tools used for data processing. These biases and their encoding in healthcare records undermine the reliability of such data and bias clinical judgments and medical outcomes. Moreover, when healthcare records are used to build data-driven solutions, the biases are further exacerbated, resulting in systems that perpetuate biases and induce healthcare disparities. This literature scoping review aims to categorize the main sources of biases inherent in EHRs.

Methods

1.2We queried PubMed and Web of Science on January 19th, 2023, for peer-reviewed sources in English, published between 2016 and 2023, using the PRISMA approach to stepwise scoping of the literature. To select the papers that empirically analyze bias in EHR, from the initial yield of 430 papers, 27 duplicates were removed, and 403 studies were screened for eligibility. 196 articles were removed after the title and abstract screening, and 96 articles were excluded after the full-text review resulting in a final selection of 116 articles.

Results

1.3Systematic categorizations of diverse sources of bias are scarce in the literature, while the effects of separate studies are often convoluted and methodologically contestable. Our categorization of published empirical evidence identified the six main sources of bias: a) bias arising from past clinical trials; b) data-related biases arising from missing, incomplete information or poor labeling of data; human-related bias induced by c) implicit clinician bias, d) referral and admission bias; e) diagnosis or risk disparities bias and finally, (f) biases in machinery and algorithms.

Conclusions

1.4Machine learning and data-driven solutions can potentially transform healthcare delivery, but not without limitations. The core inputs in the systems (data and human factors) currently contain several sources of bias that are poorly documented and analyzed for remedies. The current evidence heavily focuses on data-related biases, while other sources are less often analyzed or anecdotal. However, these different sources of biases add to one another exponentially. Therefore, to understand the issues holistically we need to explore these diverse sources of bias. While racial biases in EHR have been often documented, other sources of biases have been less frequently investigated and documented (e.g. gender-related biases, sexual orientation discrimination, socially induced biases, and implicit, often unconscious, human-related cognitive biases). Moreover, some existing studies lack causal evidence, illustrating the different prevalences of disease across groups, which does not per se prove the causality. Our review shows that data-, human- and machine biases are prevalent in healthcare and they significantly impact healthcare outcomes and judgments and exacerbate disparities and differential treatment. Understanding how diverse biases affect AI systems and recommendations is critical. We suggest that researchers and medical personnel should develop safeguards and adopt data-driven solutions with a "bias-in-mind" approach. More empirical evidence is needed to tease out the effects of different sources of bias on health outcomes.

Association of neighborhood gentrification with prostate cancer and immune markers in African American and European American men

BACKGROUND

Prior studies showed that neighborhood deprivation increases the risk of lethal prostate cancer. However, the role of neighborhood gentrification in prostate cancer development and outcome remains poorly understood. We examined the relationships of gentrification with prostate cancer and serum proteome-defined inflammation and immune function in a diverse cohort.

METHODS

The case-control study included 769 cases [405 African American (AA), 364 European American (EA) men] and 1023 controls (479 AA and 544 EA), with 219 all-cause and 59 prostate cancer-specific deaths among cases. Geocodes were linked to a neighborhood gentrification index (NGI) derived from US Census data. Cox and logistic regression, and MANOVA, were used to determine associations between NGI, as continuous or quintiles (Q), and outcomes.

RESULTS

Adjusting for individual socioeconomic status (SES), continuous NGI was positively associated with prostate cancer among all men (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.01-1.14). AA and low-income men experienced the highest odds of prostate cancer when residing in tracts with moderate gentrification, whereas EA men experienced reduced odds of regional/metastatic cancer with increased gentrification in SES-adjusted analyses. Continuous NGI also associated with mortality among men presenting with localized disease and low-income men in SES-adjusted Cox regression analyses. NGI was not associated with serum proteome-defined chemotaxis, inflammation, and tumor immunity suppression.

CONCLUSIONS

Findings show that neighborhood gentrification associates with prostate cancer and mortality in this diverse population albeit associations were heterogenous within subgroups. The observations suggest that changing neighborhood socioeconomic environments may affect prostate cancer risk and outcome, likely through multifactorial mechanisms.

Understanding and Addressing Prostate Cancer Disparities in Diagnosis, Treatment, and Outcomes Among Black Men

Despite advances in screening, diagnosis, and treatment for prostate cancer (PCa), Black men tend to be diagnosed at younger ages, have higher mortality rates, and are at increased risk of recurrence or metastasis compared to their White counterparts. PCa disparities among Black men are caused by a complex interaction of social, behavioral, and biological factors across the public policy, community, organizational, interpersonal, and individual levels. Key contributing factors include mistrust in the health care system, poor communication between patients and providers, low awareness of screening guidelines, and high medical costs. These disparities are further exacerbated by the low representation of Black men in clinical trials, which limits access to high-quality cancer care and generalizability for PCa treatments. In this narrative review of the existing literature, we examined the epidemiology and identified contributing factors, and propose multi-level strategies to address and mitigate disparities among Black men with PCa.

Disparities in Wait Times for Care Among US Veterans by Race and Ethnicity

Importance

Prior studies indicate that Black and Hispanic vs White veterans wait longer for care. However, these studies do not capture the COVID-19 pandemic, which caused care access disruptions, nor implementation of the US Department of Veterans Affairs (VA) Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION), which is intended to improve care access by increasing veterans' options to use community clinicians.

Objective

To determine whether wait times increased differentially for Black and Hispanic compared with White veterans from the pre-COVID-19 to COVID-19 periods given concurrent MISSION implementation.

Design, Setting, and Participants

This cross-sectional study used data from the VA's Corporate Data Warehouse for fiscal years 2019 to 2021 (October 1, 2018, to September 30, 2021). Participants included Black, Hispanic, and White veterans with a new consultation for outpatient cardiology and/or orthopedic services during the study period. Multivariable mixed-effects models were used to estimate individual-level adjusted wait times and a likelihood ratio test of the significance of wait time disparity change over time.

Main Outcomes and Measures

Overall mean wait times and facility-level adjusted relative mean wait time ratios.

Results

The study included 1 162 148 veterans (mean [SD] age, 63.4 [14.4] years; 80.8% men). Significant wait time disparities were evident for orthopedic services (eg, Black veterans had wait times 2.09 [95% CI, 1.57-2.61] days longer than those for White veterans) in the pre-COVID-19 period, but not for cardiology services. Mean wait times increased from the pre-COVID-19 to COVID-19 periods for both services for all 3 racial and ethnic groups (eg, Hispanic wait times for cardiology services increased 5.09 [95% CI, 3.62-6.55] days). Wait time disparities for Black veterans (4.10 [95% CI, 2.44-5.19] days) and Hispanic veterans (4.40 [95% CI, 2.76-6.05] days) vs White veterans (3.75 [95% CI, 2.30-5.19] days) increased significantly from the pre-COVID-19 to COVID-19 periods (P < .001). During the COVID-19 period, significant disparities were evident for orthopedic services (eg, mean wait times for Hispanic vs White veterans were 1.98 [95% CI, 1.32-2.64] days longer) but not for cardiology services. Although there was variation in wait time ratios across the 140 facilities, only 6 facility wait time ratios were significant during the pre-COVID-19 period and 26 during the COVID-19 period.

Conclusions and Relevance

These findings suggest that wait time disparities increased from the pre-COVID-19 to COVID-19 periods, especially for orthopedic services for both Black and Hispanic veterans, despite MISSION's goal to improve access. Facility-level analyses identified potential sites that could be targeted to reduce disparities.

Racial disparities in Black men with prostate cancer: A literature review

Black men are disproportionately affected by prostate cancer (PCa), with earlier presentation, more aggressive disease, and higher mortality rates versus White men. Furthermore, Black men have less access to PCa treatment and experience longer delays between diagnosis and treatment. In this review, the authors discuss the factors contributing to racial disparities and present solutions to improve access to care and increase clinical trial participation among Black men with PCa. Racial disparities observed among Black men with PCa are multifaceted, evolving from institutional racism. Cultural factors include generalized mistrust of the health care system, poor physician-patient communication, lack of information on PCa and treatment options, fear of PCa diagnosis, and perceived societal stigma of the disease. In the United States, geographic trends in racial disparities have been observed. Economic factors, e.g., cost of care, recovery time, and cancer debt, play an important role in racial disparities observed in PCa treatment and outcomes. Racial diversity is often lacking in genomic and precision medicine studies. Black men are largely underrepresented in key phase 3 PCa trials and may be less willing to enroll in clinical trials due to lack of awareness, lack of diversity in clinical trial research teams, and bias of health care providers to recommend clinical research. The authors propose solutions to address these factors that include educating clinicians and institutions on the barriers Black men experience, increasing the diversity of health care providers and clinical research teams, and empowering Black men to be involved in their treatment, which are keys to creating equity for Black men with PCa. LAY SUMMARY: Prostate cancer negatively affects Black men more than men of other races. The history of segregation and mistreatment in the health care system may contribute to mistrust among Black men. Outcomes are worse for Black men because they are less likely to be screened or to receive treatment for prostate cancer. Black men also are unlikely to participate in clinical research, making it difficult for investigators to understand how Black men are affected by prostate cancer. Suggestions for addressing these differences include teaching physicians and nurses about the issues Black men experience getting treatment and improving how Black men get information on prostate cancer.

Factors contributing to delays in initiation of front-line cervical cancer therapy: disparities in a diverse south Florida population

Objective

Delay in initiating cervical cancer treatment may impact outcomes. In a cohort of patients initially treated by surgery, chemoradiation, chemotherapy, or in a clinical trial, we aim to define factors contributing to prolonged time to treatment initiation.

Methods

Data from patients initiating treatment for cervical cancer at a single institution was abstracted. Time to treatment initiation was defined as the interval from the date of cancer diagnosis to the date of treatment initiation. Poisson regression model was used for analysis.

Results

Of 274 patients studied, the median time to treatment initiation was 60 days (range 0–551). The median times to initiate surgery (54 days, range 3–96) and chemoradiation (58 days, range 4–187) were not significantly different (relative risk (RR) 1.01, 95% CI 0.98 to 1.04, p=0.54). The shortest median initiation time was for chemotherapy (47 days; RR 1.13, 95% CI 1.08 to 1.19, p<0.0001) and the longest was for clinical trial (62 days; RR 1.18, 95% CI 1.12 to 1.24, p<0.0001). Charity care (RR 1.09, 95% CI 1.05 to 1.14, p<0.0001), Medicare or Medicaid (RR 1.10, 95% CI 1.06 to 1.14, p<0.0001), and self-pay (RR 1.38, 95% CI 1.32 to 1.45, p<0.0001) delayed treatment initiation more than private insurance. Hispanic White women (RR 0.69, 95% CI 0.66 to 0.73, p<0.0001) had a shorter treatment initiation time compared with non-Hispanic White patients, while Afro-Caribbean/Afro-Latina women (RR 0.86, 95% CI 0.81 to 0.90, p<0.0001) and African-American patients (RR 1.13, 95% CI 1.07 to 1.19, p<0.0001) had longer initiation times. Spanish speaking patients did not have a prolonged treatment initiation (RR 0.68, 95% CI 0.66 to 0.71, p<0.0001), though Haitian-Creole speaking patients did (RR 1.07, 95% CI 1.01 to 1.13, p<0.002). Diagnosis at an outside institution delayed treatment initiation time (RR 1.24, 95% CI 1.18 to 1.30, p<0.0001) compared with diagnosis at the cancer center.

Conclusion

Factors associated with prolonged time to treatment initiation include treatment modality, insurance status, language spoken, and institution of diagnosis. By closely examining each of these factors, barriers to treatment can be identified and modified to shorten treatment initiation time.

Racial Disparities in Time to Treatment Persist in the Setting of a Comprehensive Breast Center

BACKGROUND

Racial disparities in breast cancer care have been linked to treatment delays. We explored whether receiving care at a comprehensive breast center could mitigate disparities in time to treatment.

METHODS

Retrospective chart review identified breast cancer patients who underwent surgery from 2012 to 2018 at a comprehensive breast center. Time-to-treatment intervals were compared among self-identified racial and ethnic groups by negative binomial regression models.

RESULTS

Overall, 2094 women met the inclusion criteria: 1242 (59%) White, 262 (13%) Black, 302 (14%) Hispanic, 105 (5%) Asian, and 183 (9%) other race or ethnicity. Black and Hispanic patients more often had Medicaid insurance, higher American Society of Anesthesiologists (ASA) scores, advanced-stage breast cancer, mastectomy, and additional imaging after breast center presentation (p < 0.05). After controlling for other variables, racial or ethnic minority groups had consistently longer intervals to treatment, with Black women experiencing the greatest disparity (incidence rate ratio 1.42). Time from initial comprehensive breast center visit to treatment was also significantly shorter in White patients versus non-White patients (p < 0.0001). Black race, Medicaid insurance/being uninsured, older age, earlier stage, higher ASA score, undergoing mastectomy, having reconstruction, and requiring additional pretreatment work-up were associated with a longer time from initial visit at the comprehensive breast center to treatment on multivariable analysis (p < 0.05).

CONCLUSION

Racial or ethnic minority groups have significant delays in treatment even when receiving care at a comprehensive breast center. Influential factors include insurance delays and necessity of additional pretreatment work-up. Specific policies are needed to address system barriers in treatment access.

Race-specific prostate cancer outcomes in a cohort of low and favorable-intermediate risk patients who underwent external beam radiation therapy from 1990 to 2017

BACKGROUND

Previous research exploring the role of race on prostate cancer (PCa) outcomes has demonstrated greater rates of disease progression and poorer overall survival for African American (AA) compared to Caucasian American (CA) men. The current study examines self-reported race as a predictor of long-term PCa outcomes in patients with low and favorable-intermediate risk disease treated with external beam radiation therapy (EBRT).

METHODS

This retrospective cohort study examined patients who were consented to enrollment in the Center for Prostate Disease Research Multicenter National Database between January 01, 1990 and December 31, 2017. Men self-reporting as AA or CA who underwent EBRT for newly diagnosed National Comprehensive Cancer Network-defined low or favorable-intermediate risk PCa were included. Dependent study outcomes included: biochemical recurrence-free survival, (ii) distant metastasis-free survival, and (iii) overall survival. Each outcome was modeled as a time-to-event endpoint using race-stratified Kaplan-Meier estimation curves and multivariable Cox proportional hazards analysis.

RESULTS

Of 840 men included in this study, 268 (32%) were AA and 572 (68%) were CA. The frequency of biochemical recurrence, distant metastasis, and deaths from any cause was 151 (18.7%), 29 (3.5%), and 333 (39.6%), respectively. AA men had a significantly younger median age at time of EBRT and slightly higher biopsy Gleason scores. Multivariable Cox proportional hazards analyses demonstrated no racial differences in any of the study endpoints.

CONCLUSIONS

These findings reveal no racial disparity in PCa outcomes for AA compared to CA men, in a long-standing, longitudinal cohort of patients with comparable access to cancer care.

Sociodemographic and Geographic Disparities of Prostate Cancer Treatment Delay in Tennessee: A Population-Based Study

The relationship of social determinants of health, Appalachian residence, and prostate cancer treatment delay among Tennessee adults is relatively unknown. We used multivariate logistic regression on 2005–2015 Tennessee Cancer Registry data of adults aged ≥18 diagnosed with prostate cancer. The outcome of treatment delay was more than 90 days without surgical or nonsurgical intervention from date of diagnosis. Social determinants in the population-based registry were race (White, Black, Other) and marital status (single, married, divorced/separated, widow/widower). Tennessee residence was classified as Appalachian versus non-Appalachian (urban/rural). Covariates include age at diagnosis (18–54, 54–69, ≥70), health insurance type (none, public, private), derived staging of cancer (localized, regional, distant), and treatment type (non-surgical/surgical). We found that Black and divorced/separated patients had 32% (95% confidence interval [CI]: 1.22–1.42) and 15% (95% CI: 1.01–1.31) increased odds to delay prostate cancer treatment. Patients were at decreased odds of treatment delay when living in an Appalachian county, both urban (odds ratio [OR] = 0.89, 95% CI: 0.82–0.95) and rural (OR = 0.83, 95% CI: 0.78–0.89), diagnosed at ≥70 (OR = 0.59, 95% CI: 0.53–0.66), and received surgical intervention (OR = 0.72, 95% CI: 0.68–0.76). Our study was among the first to comprehensively examine prostate cancer treatment delay in Tennessee, and while we do not make clinical recommendations, there is a critical need to further explore the unique factors that may propagate disparities. Prostate cancer treatment delay in Black patients may be indicative of ongoing health and access disparities in Tennessee, which may further affect quality of life and survivorship among this racial group. Divorced/separated patients may need tailored interventions to improve social support.

Race, Age, Gender, and Insurance Status: A Comparative Analysis of Access to and Quality of Gastrointestinal Cancer Care

BACKGROUND

Socioeconomics, demographics, and insurance status play roles in healthcare access. Considering the limited resources available, understanding the relative impact of disparities helps prioritize programs designed to overcome them. This study evaluates gastrointestinal cancer care disparity by comparing the impact of different patient factors across oncologic care metrices.

METHODS

A multi-institutional prospectively maintained cancer database was reviewed retrospectively for gastrointestinal cancers (esophagus, stomach, liver, pancreas, colorectal, and hepato-pancreato-biliary) from 2007 to 2017 to assess quality of care provided. Quality of care was defined by clinical course following national guidelines for the respective cancer. This included surgical intervention, chemotherapy, palliative care, and minimal delay to treatment/diagnosis. Logistic regression was used to adjust for confounders and identify factors associated with quality of care. Kaplan-Meier survival curves were compared using log-rank test.

RESULTS

One thousand seventy-two patients were identified. Survival improved in patients with private insurance compared to government-funded options [median overall survival (mOS) 57.8 vs. 21.2 months; P < .001]. Private insurance also correlated with earlier stage at diagnosis [stages I-II = 50.9% vs. 37.5%, stages III-IV = 37.7% vs. 49.1%, P < .001], increased chemotherapy use [44.2% vs. 37.1%, P < .001], and more surgical intervention [62.4% vs. 48.8%, P < .001]. Outcomes were inferior for Black Americans, including trend towards lower rate of surgical treatment [42% vs. 54%, P = .058] and worse survival in private insurance carriers [mOS 7.8 vs. 57.8 months, P = .021] and those with early stage disease [mOS 39.2 vs. 81.5 months, P = .045] compared to White counterparts.

CONCLUSIONS

Insurance status has the strongest impact on the quality of gastrointestinal oncologic care with negative synergistic negative effect of race for Black Americans. While governmental programs aim to improve equality of care, there remains significant disparity compared to private insurance. Moreover, private insurance doesn't correct disparity for Black Americans, suggesting the need to address racial imbalances in cancer care.

Did Access to Care Improve Since Passage of the Veterans Choice Act?: Differences Between Rural and Urban Veterans

BACKGROUND

The 2014 Veterans Choice Program aimed to improve care access for Veterans through expanded availability of community care (CC). Increased access to CC could particularly benefit rural Veterans, who often face obstacles in obtaining medical care at the Veterans Health Administration (VHA). However, whether Veterans Choice Program improved timely access to care for this vulnerable population is understudied.

OBJECTIVES

To examine wait times among rural and urban Veterans for 5 outpatient specialty care services representing the top requests for CC services among rural Veterans.

RESEARCH DESIGN

Retrospective study using VHA and CC outpatient consult data from VHA's Corporate Data Warehouse in Fiscal Year (FY) 2015 (October 1, 2014 to September 30, 2015) and FY2018 (October 1, 2017 to September 30, 2018).

SUBJECTS

All Veterans who received a new patient consult for physical therapy, cardiology, optometry, orthopedics, and/or dental services in VHA and/or CC.

MEASURES

Wait time, care setting (VHA/CC), rural/urban status, sociodemographics, and comorbidities.

RESULTS

Our sample included 1,112,876 Veterans. Between FY2015 and FY2018, mean wait times decreased for all services for both rural and urban Veterans; declines were greatest in VHA (eg, mean optometry wait times for rural Veterans in VHA vs. CC declined 8.3 vs. 6.4 d, respectively, P<0.0001). By FY2018, for both rural and urban Veterans, CC mean wait times for most services were longer than VHA wait times.

CONCLUSIONS

Timely care access for all Veterans improved between FY15 and FY18, particularly in VHA. As expansion of CC continues under the MISSION Act, more research is needed to evaluate quality of care across VHA and CC and what role, if any, wait times play.

Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data

Surgical prostate cancer (PCa) treatment delay (TD) may increase the likelihood of recurrence of disease, and influence quality of life as well as survival disparities between Black and White men. We used latent class analysis (LCA) to identify risk profiles in localized, malignant PCa surgical treatment delays while assessing co-occurring social determinants of health. Profiles were identified by age, marital status, race, county of residence (non-Appalachian or Appalachian), and health insurance type (none/self-pay, public, or private) reported in the Tennessee Department of Health cancer registry from 2005 to 2015 for adults ≥18 years (N = 18,088). We identified three risk profiles. The highest surgical delay profile (11% of the sample) with a 30% likelihood of delaying surgery >90 days were young Black men, <55 years old, living in a non-Appalachian county, and single/never married, with a high probability of having private health insurance. The medium surgical delay profile (46% of the sample) with a 21% likelihood of delay were 55–69 years old, White, married, and having private health insurance. The lowest surgical delay profile (42% of the sample) with a 14% likelihood of delay were ≥70 years with public health insurance as well as had a high probability of being White and married. We identified that even with health insurance coverage, Blacks living in non-Appalachian counties had the highest surgical delay, which was almost double that of Whites in the lowest delay profile. These disparities in PCa surgical delay may explain differences in health outcomes in Blacks who are most at-risk.

Psychosocial Stress, Glucocorticoid Signaling, and Prostate Cancer Health Disparities in African American Men

Recent advances in our understanding of racial disparities in prostate cancer (PCa) incidence and mortality that disproportionately affect African American (AA) men have provided important insights into the psychosocial, socioeconomic, environmental, and molecular contributors. There is, however, limited mechanistic knowledge of how the interplay between these determinants influences prostate tumor aggressiveness in AA men and other men of African ancestry. Growing evidence indicates that chronic psychosocial stress in AA populations leads to sustained glucocorticoid signaling through the glucocorticoid receptor (GR), with negative physiological and pathological consequences. Compelling evidence indicates that treatment of castration-resistant prostate cancer (CRPC) with anti-androgen therapy activates GR signaling. This enhanced GR signaling bypasses androgen receptor (AR) signaling and transcriptionally activates both AR-target genes and GR-target genes, resulting in increased prostate tumor resistance to anti-androgen therapy, chemotherapy, and radiotherapy. Given its enhanced signaling in AA men, GR-together with specific genetic drivers-may promote CRPC progression and exacerbate tumor aggressiveness in this population, potentially contributing to PCa mortality disparities. Ongoing and future CRPC clinical trials that combine standard of care therapies with GR modulators should assess racial differences in therapy response and clinical outcomes in order to improve PCa health disparities that continue to exist for AA men.

Associação de variáveis sociodemográficas e clínicas com os tempos para início do tratamento do câncer de próstata

Resumo Disparidades na atenção ao câncer de próstata têm sido reveladas e associadas a fatores sociodemográficos e clínicos, os quais determinam os tempos para diagnóstico e início do tratamento. O objetivo deste artigo é avaliar a associação de variáveis sociodemográficas e clínicas com os tempos para o início do tratamento do câncer de próstata. Estudo de coorte longitudinal prospectivo utilizando dados secundários, cuja população é de homens com câncer de próstata atendidos nos períodos de 2010-2011 e 2013-2014 no Hospital Santa Rita de Cássia, Vitória, Espírito Santo, Brasil. A população do estudo foi de 1.388 homens, do total, os com idade inferior a 70 anos (OR = 1,85; IC = 1,49-2,31), não brancos (OR = 1,30; IC = 1,00-1,70), com menos de oito anos de estudo (OR = 1,52; IC = 1,06-2,17) e encaminhados pelos serviços do Sistema Único de Saúde (OR = 2,52; IC = 1,84-3,46) apresentaram maior risco de atraso no tratamento. Da mesma forma, quanto menor o escore de Gleason (OR = 1,78; IC = 1,37-2,32) e os níveis de Antígeno Prostático Específico (OR = 2,71; IC = 2,07-3,54) maior a probabilidade de atraso para iniciar o tratamento. Portanto, as características sociodemográficas e clínicas exerceram uma forte influência no acesso ao tratamento do câncer de próstata.

Social Determinants of Appropriate Treatment for Muscle-Invasive Bladder Cancer

BACKGROUND

Racial disparities in guideline-based, appropriate treatment (ApT) may be a significant driving force for differences in survival for people with nonmetastatic muscle-invasive bladder cancer (MIBC). We hypothesize that receipt of ApT is influenced by factors such as race and socioeconomic status, irrespective of neighborhood-level differences in healthcare, variations in practice patterns, and clinical characteristics of patients with nonmetastatic MIBC.

METHODS

Within the National Cancer Database, we identified individuals diagnosed with MIBC between 2004 and 2013. Multivariable logistic regression and mixed effects modelling was used to examine predictors of ApT, clustered within institutions.

RESULTS

A total of 51,350 individuals had clinically staged nonmetastatic, lymph node-negative MIBC. Black individuals comprised 6.4% of the cohort. Mean age was 72.6 years (SD 11.6) with a male predominance (71.4%). Less than half received ApT (42.6%). Fewer black individuals received ApT compared with white individuals (37% vs. 43%, P < 0.001). When clustered by institution, the odds of ApT were 21% lower for black individuals [odds ratio (OR), 0.79; 95% confidence interval (CI), 0.73-0.87] compared with white individuals with nonmetastatic MIBC. When restricted to higher volume centers with more diverse populations, black individuals had 25% lower odds of ApT (OR, 0.75; 95% CI, 0.61-0.91; P < 0.01), compared with white counterparts.

CONCLUSIONS

Racial disparities in treatment persisted after accounting for various clinical factors and social determinants of health. Future efforts should focus on addressing racial bias to improve disparities in bladder cancer treatment.

IMPACT

If we are not delivering evidence-based care due to these biases (after accounting for access and biology), then it is expected that patients will experience inferior outcomes.

Impact of serious mental illness on the treatment and mortality of older patients with locoregional high-grade (nonmetastatic) prostate cancer: retrospective cohort analysis of 49 985 SEER-Medicare patients diagnosed between 2006 and 2013

Background

The influence of serious mental illness (SMI) on the treatment and survival of patients with high‐grade prostate cancer is not well understood. We compared the initial cancer treatment and cancer‐specific mortality of SEER‐Medicare patients with locoregional high‐grade (nonmetastatic) prostate cancer with and without preexisting SMI.

Methods

We identified SEER‐Medicare patients who were 67 years of age or older diagnosed between 2006 and 2013 with locoregional high‐grade (nonmetastatic) prostate cancer. Preexisting SMI was identified by claims indicative of bipolar disorder, schizophrenia, and other psychotic disorder, during the 2 years before cancer diagnosis. We used multivariable binary logistic regression to examine associations between SMI and receipt of surgery or radiation concurrent with hormone therapy (definitive initial treatment) within 1 year after cancer diagnosis. We used Kaplan‐Meier survival curves, as well as Cox proportional hazards and competing risk models to evaluate unadjusted and adjusted associations between SMI and 5‐year cancer‐specific survival.

Results

Among 49 985 patients with locoregional high‐grade (nonmetastatic) prostate cancer, 523 (1.1%) had SMI and 49 462 (98.9%) had no SMI. Overall, SMI was associated with reduced odds of receiving surgery (OR = 0.66, 95% CI: 0.49‐0.89) or radiation concurrent with hormone therapy (OR = 0.81, 95% CI: 0.67‐0.98) as initial treatments in the year after cancer diagnosis. Additionally, SMI was associated with higher hazard of 5‐year cancer‐specific death (HR = 1.41, 95% CI: 1.06‐1.89) after accounting for competing risks of non‐cancer death.

Conclusion

Among SEER‐Medicare patients with locoregional high‐grade (nonmetastatic) prostate cancer, those with preexisting SMI—relative to those without these conditions—were less likely to receive definitive initial treatment in the year after diagnosis and had poorer cancer‐specific survival 5 years after diagnosis.

African-American men and prostate cancer-specific mortality: a competing risk analysis of a large institutional cohort, 1989-2015

Significant racial disparities in prostate cancer (PCa) outcomes have been reported, with African-American men (AAM) more likely to endure adverse oncologic outcomes. Despite efforts to dissipate racial disparities in PCa, a survival gap persists and it remains unclear to what extent this disparity can be explained by known clinicodemographic factors. In this study, we leveraged our large institutional database, spanning over 25 years, to investigate whether AAM continued to experience poor PCa outcomes and factors that may contribute to racial disparities in PCa. A total of 7307 patients diagnosed with PCa from 1989 through 2015 were included. Associations of race and clinicodemographic characteristics were analyzed using chi-square for categorical and Mann-Whitney U-test for continuous variables. Racial differences in prostate cancer outcomes were analyzed using competing risk analysis methods of Fine and Gray. Median follow-up time was 106 months. There were 2304 deaths recorded, of which 432 resulted from PCa. AAM were more likely to be diagnosed at an earlier age (median 60 vs. 65 years, P = <0.001) and were more likely to have ≥1 comorbidities (13.6% vs. 7.5%, P < 0.001). In a multivariate competing risk model, adjusted for baseline covariates, AAM experienced significantly higher risk of PCSM compared to NHW men (HR, 1.62, 95% CI, 1.02-2.57, P = 0.03) NHW. Among men diagnosed at an older age (>60 years), racial differences in PCSM were more pronounced, with AAM experiencing higher rates of PCSM (HR, 2.05, 95% CI, 1.26-3.34, P = 0.003). After adjustment of clinicodemographic and potential risk factors, AAM continue to experience an increased risk of mortality from PCa, especially older AAM. Furthermore, AAM are more likely to be diagnosed at an early age and more likely to have higher comorbidity indices.

Physician Consultations, Prostate Cancer Knowledge, and PSA Screening of African American Men in the Era of Shared Decision-Making

African American (AA)/Black men are more likely to develop aggressive prostate cancer (PCa), yet less likely to be screened despite guidelines espousing shared decision-making regarding PCa screening and prostate-specific antigen (PSA) testing. Given the documented racial disparities in PCa incidence and mortality, engaging interactions with physicians are especially important for AA/Black men. Thus, this study evaluated occurrence of physician-patient conversations among AA/Black men, and whether such conversations were associated with PCa knowledge. We also quantified the serum PSA values of participants who had, and had not, discussed testing with their physicians. Self-identified AA/Black men living in California and New York, ages 21-85, donated blood and completed a comprehensive sociodemographic and health survey ( n = 414). Less than half (45.2%) of participants had discussed PCa screening with their physicians. Multivariate analyses were used to assess whether physician-patient conversations predicted PCa knowledge after adjusting for key sociodemographic/economic and health-care variables. Increased PCa knowledge was correlated with younger age, higher income and education, and having discussed the pros and cons of PCa testing with a physician. Serum PSA values were measured by ELISA. Higher-than-normal PSA values were found in 38.5% of men who had discussed PCa screening with a physician and 29.1% who had not discussed PCa screening. Our results suggest that physician-AA/Black patient conversations regarding PCa risk need improvement. Encouraging more effective communication between physicians and AA/Black men concerning PCa screening and PSA testing has the potential to reduce PCa health disparities.

Risk factors involved in treatment delays and differences in treatment type for patients with prostate cancer by risk category in an academic safety net hospital

OBJECTIVES

Understanding the drivers of delays from diagnosis to treatment can elucidate how to reduce the time to treatment (TTT) in patients with prostate cancer. In addition, the available treatments depending on the stage of cancer can vary widely for many reasons. This study investigated the relationship of TTT and treatment choice with sociodemographic factors in patients with prostate cancer who underwent external beam radiation therapy (RT), radical prostatectomy (RP), androgen deprivation therapy (ADT), or active surveillance (AS) at a safety-net academic medical center.

METHODS AND MATERIALS

A retrospective review was performed on 1088 patients who were diagnosed with nonmetastatic prostate cancer between January 2005 and December 2013. Demographic data as well as data on TTT, initial treatment choice, American Joint Committee on Cancer stage, and National Comprehensive Cancer Network risk categories were collected. Analyses of variance and multivariable logistic regression models were performed to analyze the relationship of these factors with treatment choice and TTT.

RESULTS

Age, race, and marital status were significantly related to treatment choice. Patients who were nonwhite and older than 60 years were less likely to undergo RP. Black patients were 3.8 times more likely to undergo RT compared with white patients. The median TTT was 75 days. Longer time delays were significant in patients of older age, nonwhite race/ethnicity, non-English speakers, those with noncommercial insurance, and those with non-married status. The average TTT of high-risk patients was 25 days longer than that of low-risk patients. Patients who underwent RT had an average TTT that was 34 days longer than that of RP patients.

CONCLUSIONS

The treatment choice and TTT of patients with prostate cancer are affected by demographic factors such as age, race, marital status, and insurance, as well as clinical factors including stage and risk category of disease.

Racial disparities and considerations for active surveillance of prostate cancer

Active surveillance (AS) for the management of low-risk prostate cancer has been increasing and in the general population appears safe, allowing for a reduction in the harms of prostate cancer screening such as overtreatment. African-American (AA) men have overall worse outcomes from prostate cancer compared to Caucasian-American (CA) men for a variety of socioeconomic, cultural and possibly biologic reasons, thus complicating the use of AS in this population. Strategies for optimizing care and mitigating risk in this population include pursuing close surveillance with steadfast patient compliance, the use of multiparametric MRI with targeted biopsies including the anterior prostate to reduce the risk of undersampling, as well as a judicious and thoughtful incorporation of novel molecular biomarkers for risk stratification. Currently, there exists no direct data to suggest that AS cannot be safely carried out in AA men following an informed discussion and after engaging in shared decision making. Physicians should have a low threshold for consideration of definitive therapy. Additional efforts should be made in increasing the engagement of minority participants in clinical trials, to gain an improved representation of underserved populations in future research.

Prevalence and Correlates of Major Depressive Symptoms among Black Men with Prostate Cancer

Objectives

The objectives of our study were to determine the prevalence of major depressive symptoms and identify factors that are associated with major depressive symptoms among Black men with prostate cancer (PCa).

Design

This study consisted of 415 Black men aged 40-81 years that entered the North Carolina Central Cancer Registry during the years 2007-2008. The primary outcome variable was depressive symptoms (CES-D). Factors included age, income, education, insurance status, treatment received, time between diagnosis and treatment, Gleason score, medical mistrust and experience with racism/discrimination. Logistic regression models were used to assess factors associated with the odds of having major depressive symptoms.

Results

The prevalence of major depressive symptoms (≥16 on CES-D) among our sample of Black men with PCa was approximately 33%. Approximately 15% of the study participants underwent radiation beam treatment. Age was significantly associated with the odds of reporting major depressive symptoms (OR= .95, CI .91-.99) among Black men. In addition, compared with all other forms of treatment, Black men who underwent radiation beam treatment had higher odds (OR=2.38, CI 1.02- 5.51) of reporting major depressive symptoms.

Conclusion

Nearly one-third of Black men with PCa in this study reported major depressive symptoms. Clinicians should pay closer attention to the mental health status of Black men with PCa, especially those who are younger and those who have undergone radiation beam treatment. Cancer survivorship, particularly quality of life, may be enhanced by opportunities for assessment, evaluation and intervention of depressive symptoms among these men disproportionately affected by PCa.

The 22Rv1 prostate cancer cell line carries mixed genetic ancestry: Implications for prostate cancer health disparities research using pre-clinical models

BACKGROUND

Understanding how biological factors contribute to prostate cancer (PCa) health disparities requires mechanistic functional analysis of specific genes or pathways in pre-clinical cellular and animal models of this malignancy. The 22Rv1 human prostatic carcinoma cell line was originally derived from the parental CWR22R cell line. Although 22Rv1 has been well characterized and used in numerous mechanistic studies, no racial identifier has ever been disclosed for this cell line. In accordance with the need for racial diversity in cancer biospecimens and recent guidelines by the NIH on authentication of key biological resources, we sought to determine the ancestry of 22RV1 and authenticate previously reported racial identifications for four other PCa cell lines.

METHODS

We used 29 established Ancestry Informative Marker (AIM) single nucleotide polymorphisms (SNPs) to conduct DNA ancestry analysis and assign ancestral proportions to a panel of five PCa cell lines that included 22Rv1, PC3, DU145, MDA-PCa-2b, and RC-77T/E.

RESULTS

We found that 22Rv1 carries mixed genetic ancestry. The main ancestry proportions for this cell line were 0.41 West African (AFR) and 0.42 European (EUR). In addition, we verified the previously reported racial identifications for PC3 (0.73 EUR), DU145 (0.63 EUR), MDA-PCa-2b (0.73 AFR), and RC-77T/E (0.74 AFR) cell lines.

CONCLUSIONS

Considering the mortality disparities associated with PCa, which disproportionately affect African American men, there remains a burden on the scientific community to diversify the availability of biospecimens, including cell lines, for mechanistic studies on potential biological mediators of these disparities. This study is beneficial by identifying another PCa cell line that carries substantial AFR ancestry. This finding may also open the door to new perspectives on previously published studies using this cell line.

Outcomes and patterns of care in a nationwide cohort of pediatric medulloblastoma: Factors affecting proton therapy utilization

PURPOSE

We examined national outcomes and patterns of care for pediatric patients with medulloblastoma (MB) in a large observational cohort.

METHODS AND MATERIALS

Using the National Cancer Database, we evaluated the clinical features and survival outcomes of patients diagnosed with MB. The association between intervention, covariables, and outcome was assessed in a multivariable Cox analysis and through logistic regression analysis. Survival was estimated using the Kaplan-Meier method.

RESULTS

Among the 4032 patients in the National Cancer Database with pediatric brain tumors, 1300 patients met the inclusion criteria of histologic diagnosis, receipt of chemotherapy and radiation, and age ≤18 years. The median age and follow-up were 8.4 years and 4.5 years, respectively. Five-year survival was 79.0%. In the univariate analysis, inferior outcome (overall survival) was associated with rural residence (hazard ratio [HR], 2.78; 95% confidence interval [CI],1.47-5.29; P < .01) and histology (large cell; HR, 1.78; 95% CI,1.08-2.94; P < .05). In multivariable analysis, both remained significant predictors of survival (large cell: HR, 1.68; P < .05; rural residence: HR, 2.74; P < .01). In 2013, the utilization rate of proton therapy (23% of patients) in the United States surpassed intensity modulate radiation therapy (16%), more frequently for patients with higher income (P < .05) or more favorable insurance status (P < .05).

CONCLUSIONS

As one of the largest data sets on pediatric MB, the observed variations in treatment intervention and survival outcomes may represent a target for further research.

Randomized trial of a question prompt list to increase patient active participation during interactions with black patients and their oncologists

OBJECTIVE

Communication during racially-discordant interactions is often of poor quality and may contribute to racial treatment disparities. We evaluated an intervention designed to increase patient active participation and other communication-related outcomes during interactions between Black patients and non-Black oncologists.

METHODS

Participants were 18 non-Black medical oncologists and 114 Black patients at two cancer hospitals in Detroit, Michigan, USA. Before a clinic visit to discuss treatment, patients were randomly assigned to usual care or to one of two question prompt list (QPL) formats: booklet (QPL-Only), or booklet and communication coach (QPL-plus-Coach). Patient-oncologist interactions were video recorded. Patients reported perceptions of the intervention, oncologist communication, role in treatment decisions, and trust in the oncologist. Observers assessed interaction length, patient active participation, and oncologist communication.

RESULTS

The intervention was viewed positively and did not increase interaction length. The QPL-only format increased patient active participation; the QPL-plus-Coach format decreased patient perceptions of oncologist communication. No other significant effects were found.

CONCLUSION

This QPL booklet is acceptable and increases patient active participation in racially-discordant oncology interactions. Future research should investigate whether adding physician-focused interventions might improve other outcomes.

PRACTICE IMPLICATIONS

This QPL booklet is acceptable and can improve patient active participation in racially-discordant oncology interactions.

High Levels of Medical Mistrust Are Associated With Low Quality of Life Among Black and White Men With Prostate Cancer

BACKGROUND

Medical mistrust is thought to affect health care-based decisions and has been linked to poor health outcomes. The effects of medical mistrust among men with prostate cancer are unknown. Thus, the goal of the current study is to examine the association between medical mistrust and quality of life (QOL) among black and white men with prostate cancer.

METHODS

A total of 877 men (415 black, 462 white) with prostate cancer between the ages of 40 to 81 years who entered the North Carolina Central Cancer Registry during the years 2007 and 2008 were retrospectively recruited. The dependent variable was overall QOL measured by the Functional Assessment of Cancer Therapy-Prostate questionnaire. The primary independent variable was medical mistrust. Multivariate regression analysis was used to assess the association between medical mistrust and overall QOL.

RESULTS

Compared with white men, black men reported a higher level of medical mistrust (black = 2.7, white = 2.4; P < .001) and lower QOL (black = 134.4, white = 139.5; P < 0.001). After controlling for demographical and clinical variables, higher levels of medical mistrust were associated with a reduction in overall QOL among men with prostate cancer (beta = -7.73; standard error = 1.54) CONCLUSIONS: Higher levels of medical mistrust are associated with reduced overall QOL among black and white men with prostate cancer. Interventions targeted to reduce medical mistrust may be effective in increasing the overall QOL of men with prostate cancer.

Epigenetic basis of cancer health disparities: Looking beyond genetic differences

Despite efforts at various levels, racial health disparities still exist in cancer patients. These inequalities in incidence and/or clinical outcome can only be explained by a multitude of factors, with genetic basis being one of them. Several investigations have provided convincing evidence to support epigenetic regulation of cancer-associated genes, which results in the differential transcriptome and proteome, and may be linked to a pre-disposition of individuals of certain race/ethnicity to early or more aggressive cancers. Recent technological advancements and the ability to quickly analyze whole genome have aided in these efforts, and owing to their relatively easy detection, methylation events are much well-characterized, than the acetylation events, across human populations. The early trend of investigating a pre-determined set of genes for differential epigenetic regulation is paving way for more unbiased screening. This review summarizes our current understanding of the epigenetic events that have been tied to the racial differences in cancer incidence and mortality. A better understanding of the epigenetics of racial diversity holds promise for the design and execution of novel strategies targeting the human epigenome for reducing the disparity gaps.

Social Networks Across Common Cancer Types: The Evidence, Gaps, and Areas of Potential Impact

Although the association between social context and health has been demonstrated previously, much less is known about network interactions by gender, race/ethnicity, and sociodemographic characteristics. Given the variability in cancer outcomes among groups, research on these relationships may have important implications for addressing cancer health disparities. We examined the literature on social networks and cancer across the cancer continuum among adults. Relevant studies (N=16) were identified using two common databases: PubMed and Google Scholar. Most studies used a prospective cohort study design (n=9), included women only (n=11), and were located in the United States (n=14). Seventy-five percent of the studies reviewed used a validated scale or validated items to measure social networks (n=12). Only one study examined social network differences by race, 57.1% (n=8) focused on breast cancer alone, 14.3% (n=2) explored colorectal cancer or multiple cancers simultaneously, and 7.1% (n=1) only prostate cancer. More than half of the studies included multiple ethnicities in the sample, while one study included only low-income subjects. Despite findings of associations between social networks and cancer survival, risk, and screening, none of the studies utilized social networks as a mechanism for reducing health disparities; however, such an approach has been utilized for infectious disease control. Social networks and the support provided within these networks have important implications for health behaviors and ultimately cancer disparities. This review serves as the first step toward dialog on social networks as a missing component in the social determinants of cancer disparities literature that could move the needle upstream to target adverse cancer outcomes among vulnerable populations.

Racial Differences in the Diagnosis and Treatment of Prostate Cancer

Disparities between African American and Caucasian men in prostate cancer (PCa) diagnosis and treatment in the United States have been well established, with significant racial disparities documented at all stages of PCa management, from differences in the type of treatment offered to progression-free survival or death. These disparities appear to be complex in nature, involving biological determinants as well as socioeconomic and cultural aspects. We present a review of the literature on racial disparities in the diagnosis of PCa, treatment, survival, and genetic susceptibility. Significant differences were found among African Americans and whites in the incidence and mortality rates; namely, African Americans are diagnosed with PCa at younger ages than whites and usually with more advanced stages of the disease, and also undergo prostate-specific antigen testing less frequently. However, the determinants of the high rate of incidence and aggressiveness of PCa in African Americans remain unresolved. This pattern can be attributed to socioeconomic status, detection occurring at advanced stages of the disease, biological aggressiveness, family history, and differences in genetic susceptibility. Another risk factor for PCa is obesity. We found many discrepancies regarding treatment, including a tendency for more African American patients to be in watchful waiting than whites. Many factors are responsible for the higher incidence and mortality rates in African Americans. Better screening, improved access to health insurance and clinics, and more homogeneous forms of treatment will contribute to the reduction of disparities between African Americans and white men in PCa incidence and mortality.