Individual- and neighborhood-level education influences the effect of obesity on prostate cancer treatment failure after prostatectomy

Social Drivers of Cancer Risk and Outcomes Among African American Men

ABSTRACT

Social risk factors play an important role in minority health and cancer health disparities. Exposure to stress and stress responses are important social factors that are now included in conceptual models of cancer health disparities. This report summarizes results from studies that examined stress exposure and responses among African Americans. Data from studies that were conducted as part of a transdisciplinary and translational research center are also presented to provide additional insight about the nature of racial differences in specific stressors among African American and White prostate cancer patients.

Racial disparities, cancer and response to oxidative stress

At the intersection of genetics, biochemistry and behavioral sciences, there is a largely untapped opportunity to consider how ethnic and racial disparities contribute to individual sensitivity to reactive oxygen species and how these might influence susceptibility to various cancers and/or response to classical cancer treatment regimens that pervasively result in the formation of such chemical species. This chapter begins to explore these connections and builds a platform from which to consider how the disciplines can be strengthened further.

Socioeconomic status, race, and long-term outcomes after radical prostatectomy in an equal access health system: Results from the SEARCH database

INTRODUCTION

We previously found racial differences in biochemical recurrence (BCR) after radical prostatectomy (RP) persisted after adjusting for socioeconomic status (SES) while SES did not predict BCR. The impact on long-term prostate cancer (PC) outcomes is unclear. We hypothesized higher SES would associate with better long-term outcomes regardless of race.

METHODS

Among 4,787 black and white men undergoing RP from 1988 to 2015 in the SEARCH Database, poverty (primary SES measure) was estimated by linking home ZIP-code to census data. Cox models were used to test the association between SES adjusting for demographic, clinicopathological features, and race with BCR, castration-resistant PC (CRPC), metastases, PC-specific mortality (PCSM), and all-cause mortality. Interactions between race and SES were tested.

RESULTS

Median follow-up was 98 months (Interquartile range: 54-150 months). There were no interactions between race and SES for BCR. Black men had 10%- to 11% increased BCR risk (P < 0.06) while SES was unrelated to BCR. There were interactions between SES and race for CRPC (P = 0.002), metastasis (P = 0.014), and PCSM (P = 0.004). Lower SES was associated with decreased CRPC (P = 0.012), metastases (P = 0.004), and PCSM (P = 0.049) in black, but not white men (all P ≥ 0.22). Higher SES was associated with decreased all-cause mortality in both races.

CONCLUSIONS

In an equal-access setting, lower SES associated with decreased CRPC, metastases, and PCSM in black but not white men. If confirmed, these findings suggest a complex relationship between race, SES, and PC with further research needed to understand why low SES in black men decreased the risk for poor PC outcomes after RP.

Contextual effects and cancer outcomes in the United States: a systematic review of characteristics in multilevel analyses

PURPOSE

There is increasing call for the utilization of multilevel modeling to explore the relationship between place-based contextual effects and cancer outcomes in the United States. To gain a better understanding of how contextual factors are being considered, we performed a systematic review.

METHODS

We reviewed studies published between January 1, 2002 and December 31, 2016 and assessed the following attributes: (1) contextual considerations such as geographic scale and contextual factors used; (2) methods used to quantify contextual factors; and (3) cancer type and outcomes. We searched PubMed, Scopus, and Web of Science and initially identified 1060 studies. One hundred twenty-two studies remained after exclusions.

RESULTS

Most studies utilized a two-level structure; census tracts were the most commonly used geographic scale. Socioeconomic factors, health care access, racial/ethnic factors, and rural-urban status were the most common contextual factors addressed in multilevel models. Breast and colorectal cancers were the most common cancer types, and screening and staging were the most common outcomes assessed in these studies.

CONCLUSIONS

Opportunities for future research include deriving contextual factors using more rigorous approaches, considering cross-classified structures and cross-level interactions, and using multilevel modeling to explore understudied cancers and outcomes.