Lessons Learned from Implementing a Prostate Cancer Risk Assessment Program for Underserved High-Risk Men in the Community: the Prostate REACH Project

Initial outcomes and insights from a novel high-risk prostate cancer screening clinic

INTRODUCTION

Guidelines for germline testing in patients with prostate cancer (PCa) are identifying family members who require additional surveillance given pathogenic variants (PVs) that confer increased PCa risk. We established an interdisciplinary clinic for cancer surveillance in high-risk individuals aimed to implement screening recommendations. This study aimed to characterize the clinical features of this cohort.

PATIENTS AND METHODS

The Prostate Cancer Risk Clinic (PCRC) was established for unaffected individuals with germline PVs or a strong PCa family history. PCa screening, urine labs, and questionnaires were included in the visit. Individuals with BRCA1/2 PVs underwent clinical breast exam as well. Data from the initial visit were abstracted from the medical record and questionnaires for analysis.

RESULTS

Thirty-five individuals with increased PCa risk were followed by the PCRC with a median age of 47 years of age. Twenty individuals (57%) had a family history of PCa, and 34 (97%) had a germline PV associated with an increased risk for developing PCa. Four individuals underwent biopsy due to care in the PCRC, with one PCa identified in an individual with TP53 PV. Median patient response scores indicated mild symptoms of an enlarged prostate (AUASS), normal erectile function (SHIM), and relatively low anxiety about developing PCa (MAX-PC). However, there were notable "outlier" scores on each questionnaire.

CONCLUSIONS

Individuals with prostates and BRCA1/2 PVs, among other germline PVs, can benefit from a comprehensive interdisciplinary approach to high-risk management. PCa was identified in an individual with a non-BRCA PV, emphasizing the importance and need for high-risk screening guidelines across all genes with increased risk for PCa. "Outlier" patient response scores demonstrate that some participants experienced worse symptoms or anxiety than was indicated by median scores alone.

Genetic Evaluation for Hereditary Cancer Syndromes Among African Americans: A Critical Review

While hereditary cancer syndromes have been described and studied for centuries, the completion of the human genome project fueled accelerated progress in precision medicine due to the introduction of genetic testing in the 1990s, creating avenues for tailored treatments and medical management options. However, genetic testing has not benefited everyone equitably, with nearly all of the published work based on individuals of non-Hispanic White/European ancestry. There remains a gap in knowledge regarding the prevalence, penetrance, and manifestations of common hereditary cancer syndromes in the African-American population due to significant disparities in access and uptake of genetic testing. This review summarizes the available literature on genetic testing for breast, colon, and prostate cancers in the African-American population and explores the disparities in access to genetic testing between non-Hispanic White and African-American patients. This article also addresses the barriers to genetic testing and discrepancies in the uptake of recommendations for hereditary cancer syndromes in the African-American population when compared with non-Hispanic Whites. The review offers practice implications for many healthcare providers and demonstrates gaps in the existing knowledge to be addressed in future studies to help eliminate the persisting health disparities faced by the African-American population.

Advocating for equitable management of hereditary cancer syndromes

The potential for preventive medicine to lead to more equitable health outcomes exists with the inclusion of genetic testing in medicine. Because of the medical implications of genetic testing for hereditary cancer syndromes and the financial cost attached to recommended management, ensuring equitable access to cancer screening and prevention must be made a priority. For patients with Hereditary Breast and Ovarian Cancer (HBOC) syndrome, the benefits of early detection and prevention are clear, significant, and create the opportunity to provide more equitable, personalized, preventive healthcare. Thus, for genetics providers who offer testing access for their patients, it is important to reflect on the ethical responsibility of advocating for access to appropriate management. Cancer genetic counselors can advocate for health equity by providing thorough pre-test genetic counseling, collaborating with other disciplines to coordinate care, lobbying state, and national representatives to pass legislation promoting health equity, and developing a management clinic that helps to ensure follow-up. Equitable access to and benefit from hereditary cancer risk management must be achieved in the pursuit of personalized preventive medicine.

The effect of neighborhood social environment on prostate cancer development in black and white men at high risk for prostate cancer

INTRODUCTION

Neighborhood socioeconomic (nSES) factors have been implicated in prostate cancer (PCa) disparities. In line with the Precision Medicine Initiative that suggests clinical and socioenvironmental factors can impact PCa outcomes, we determined whether nSES variables are associated with time to PCa diagnosis and could inform PCa clinical risk assessment.

MATERIALS AND METHODS

The study sample included 358 high risk men (PCa family history and/or Black race), aged 35-69 years, enrolled in an early detection program. Patient variables were linked to 78 nSES variables (employment, income, etc.) from previous literature via geocoding. Patient-level models, including baseline age, prostate specific antigen (PSA), digital rectal exam, as well as combined models (patient plus nSES variables) by race/PCa family history subgroups were built after variable reduction methods using Cox regression and LASSO machine-learning. Model fit of patient and combined models (AIC) were compared; p-values<0.05 were significant. Model-based high/low nSES exposure scores were calculated and the 5-year predicted probability of PCa was plotted against PSA by high/low neighborhood score to preliminarily assess clinical relevance.

RESULTS

In combined models, nSES variables were significantly associated with time to PCa diagnosis. Workers mode of transportation and low income were significant in White men with a PCa family history. Homeownership (%owner-occupied houses with >3 bedrooms) and unemployment were significant in Black men with and without a PCa family history, respectively. The 5-year predicted probability of PCa was higher in men with a high neighborhood score (weighted combination of significant nSES variables) compared to a low score (e.g., Baseline PSA level of 4ng/mL for men with PCa family history: White-26.7% vs 7.7%; Black-56.2% vs 29.7%).

DISCUSSION

Utilizing neighborhood data during patient risk assessment may be useful for high risk men affected by disparities. However, future studies with larger samples and validation/replication steps are needed.

A Prostate Cancer Composite Score to Identify High Burden Neighborhoods

This study presents a novel geo-based metric to identify neighborhoods with high burdens of prostate cancer, and compares this metric to other methods to prioritize neighborhoods for prostate cancer interventions. We geocoded prostate cancer patient data (n = 10,750) from the Pennsylvania cancer registry from 2005 to 2014 by Philadelphia census tract (CT) to create standardized incidence ratios (SIRs), mortality ratios (SMRs), and mean prostate cancer aggressiveness. We created a prostate cancer composite (PCa composite) variable to describe CTs by mean-centering and standard deviation-scaling the SMR, SIR, and mean aggressiveness variables and summing them. We mapped CTs with the 25 highest PCa composite scores and compared these neighborhoods to CTs with the 25 highest percent African American residents and the 25 lowest median household incomes. The mean PCa composite score among the 25 highest CTs was 4.65. Only seven CTs in Philadelphia had both one of the highest PCa composite scores and the highest percent African American residents. Only five CTs had both the highest PCa composites and the lowest median incomes. Mean PCa composite scores among CTs with the highest percent African American residents and lowest median incomes were 2.08 and 1.19, respectively. The PCa composite score is an accurate metric for prioritizing neighborhoods based on burden. If neighborhoods were prioritized based on percent African American or median income, priority neighborhoods would have been very different and not based on PCa burden. These methods can be utilized by public health decision-makers when tasked to prioritize and select neighborhoods for cancer interventions.

The ConNECT Framework: a model for advancing behavioral medicine science and practice to foster health equity

Health disparities persist despite ongoing efforts. Given the United States' rapidly changing demography and socio-cultural diversity, a paradigm shift in behavioral medicine is needed to advance research and interventions focused on health equity. This paper introduces the ConNECT Framework as a model to link the sciences of behavioral medicine and health equity with the goal of achieving equitable health and outcomes in the twenty-first century. We first evaluate the state of health equity efforts in behavioral medicine science and identify key opportunities to advance the field. We then discuss and present actionable recommendations related to ConNECT's five broad and synergistic principles: (1) Integrating Context; (2) Fostering a Norm of Inclusion; (3) Ensuring Equitable Diffusion of Innovations; (4) Harnessing Communication Technology; and (5) Prioritizing Specialized Training. The framework holds significant promise for furthering health equity and ushering in a new and refreshing era of behavioral medicine science and practice.