Applying an Exposome-Wide (ExWAS) Approach to Cancer Research

Traditional research approaches, including genome-wide association studies (GWAS), epigenome-wide association studies (EWAS) and Gene × Environment (G × E) studies are limited in their ability to handle the multiplicity of chemical and non-chemical toxicants to which people are exposed in the real world, over their life course, their impact on epigenomics and other biological systems, and their relationship to cancer onset, progression, and outcomes. Exposome-wide association study (ExWAS) provides a new approach for conceptualizing the roles and relationships of multiple chemical and non-chemical exposures in the etiology and progression of cancer at key developmental periods, over the life course, and across generations. ExWAS challenges us to consider the influence of both internal and external environment, chemical and non-chemical stressors, risk and protective factors, and spatial and temporal dimensions of exposures in our models of cancer incidence, outcomes, and disparities. Applying an ExWAS approach to cancer and cancer disparities research supports robust computational models and methods that will allow for analysis of the dynamic and complex interactions between genetics, epigenetics, and exposomics factors. In the coming months, we will spatially and temporally align environmental exposures with SCCS participant data from time of enrollment forward to move us closer to identifying complete exposure pathways that lead to cancer. In the future, we hope to link external sources of exposure to biomarkers of exposure, biomarkers of disease, disease phenotypes, and population level disparities

Using an external exposome framework to examine pregnancy-related morbidities and mortalities: Implications for health disparities research

© 2015 by the authors; licensee MDPI, Basel, Switzerland. Objective: We have conducted a study to assess the role of environment on the burden of maternal morbidities and mortalities among women using an external exposome approach for the purpose of developing targeted public health interventions to decrease disparities. Methods: We identified counties in the 48 contiguous USA where observed low birthweight (LBW) rates were higher than expected during a five-year study period. The identification was conducted using a retrospective space-time analysis scan for statistically significant clusters with high or low rates by a Discrete Poisson Model. Results: We observed statistically significant associations of LBW rate with a set of predictive variables. However, in one of the two spatiotemporal models we discovered LBW to be associated with five predictive variables (teen birth rate, adult obesity, uninsured adults, physically unhealthy days, and percent of adults who smoke) in two counties situated in Alabama after adjusting for location changes. Counties with higher than expected LBW rates were similarly associated with two environmental variables (ozone and fine particulate matter). Conclusions: The county-level predictive measures of LBW offer new insights into spatiotemporal patterns relative to key contributory factors. An external framework provides a promising place-based approach for identifying “hotspots” with implications for designing targeted interventions and control measures to reduce and eliminate health disparities

The role of patient-centered communication scale in patients’ satisfaction of healthcare providers before and during the COVID-19 pandemic

Assess the effect of patient-centered communication (PCC) scale on the patient satisfaction of healthcare providers (HCPs). The 2020 Health Information National Trends Survey (HINTS) was used to analyze the patient’s satisfaction of HCPs. This survey includes 2466 patients’ responses and were analyzed using the multivariable binary Hyperbolastic regression model of type II. The study examines the effects of PCC scale on patients’ satisfaction of HCPs while controlling for pandemic status, employment, education, marital status, race, political views, waiting time status, sex, income, and age. PCC scale was the most significant predictor of patients’ satisfaction of their HCPs (P-value \u3c 0.001) followed by waiting time status (P-value \u3c 0.001), and age (P-value = 0.016). The odds of patient satisfaction with the healthcare provider services were approximately 20% higher prior to the pandemic than during the pandemic (P-value = 0.415). The odds of satisfaction for patients earning $100k+ was approximately three times more than those making less than$35,000 (P-value = 0.003). PCC scale is a powerful measure that may be used as a metric for patients’ satisfaction of HCPs. Taking steps to improve communication between HCPs and patients is a key factor in patient satisfaction. Concentrating on the seven domains of PCC will result in higher patient satisfaction of HCPs. The improvement in PCC will encourage each patient to disclose vital information about his or her health. This may increase the accuracy of diagnosis, quality of care, and health outcomes. Experience Framework This article is associated with the Policy & Measurement lens of The Beryl Institute Experience Framework (https://theberylinstitute.org/experience-framework/). Access other PXJ articles related to this lens. Access other resources related to this lens

The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research

The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures “get under the skin”. The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training

Effect of Hurricane Katrina on Low Birth Weight and Preterm Deliveries in African American Women in Louisiana, Mississippi, and Alabama

Using three modeling techniques (GLR, GEP, and GM), the effect of Hurricane Katrina on low birth weight and preterm delivery babies for African American women is examined in Louisiana, Mississippi and Alabama. The study results indicate that risk factors associated with low birth weight and preterm delivery for American African women include unemployment and percent of mothers between the ages of 15-19. Among White women, ages 15-19, risk factors included poverty rate, median household income, and total birth rate. The GMs performed accurate predictions with increasing low birth weight and preterm delivery trends for African American women in the Gulf Coast states and other U.S. states, and decreasing low birth weight and preterm delivery trends for their White counterparts in the same state locations. Data presented between 2007-2010 show low birth weight and preterm delivery for White women as a decreasing tendency while adverse birth outcomes for African American women exhibited a monotonically increasing trend. The empirical findings suggest that health disparities will continue to exist in the foreseeable future, if no effective intervention is taken. The models identify risk factors that contribute to adverse birth outcomes and offer some insight into strategies and programs to address and ameliorate these effects

Using an External Exposome Framework to Examine Pregnancy-Related Morbidities and Mortalities: Implications for Health Disparities Research

Objective: We have conducted a study to assess the role of environment on the burden of maternal morbidities and mortalities among women using an external exposome approach for the purpose of developing targeted public health interventions to decrease disparities. Methods: We identified counties in the 48 contiguous USA where observed low birthweight (LBW) rates were higher than expected during a five-year study period. The identification was conducted using a retrospective space-time analysis scan for statistically significant clusters with high or low rates by a Discrete Poisson Model. Results: We observed statistically significant associations of LBW rate with a set of predictive variables. However, in one of the two spatiotemporal models we discovered LBW to be associated with five predictive variables (teen birth rate, adult obesity, uninsured adults, physically unhealthy days, and percent of adults who smoke) in two counties situated in Alabama after adjusting for location changes. Counties with higher than expected LBW rates were similarly associated with two environmental variables (ozone and fine particulate matter). Conclusions: The county-level predictive measures of LBW offer new insights into spatiotemporal patterns relative to key contributory factors. An external framework provides a promising place-based approach for identifying “hotspots” with implications for designing targeted interventions and control measures to reduce and eliminate health disparities

Meharry Medical College Mobile Vaccination Program: Implications for Increasing COVID-19 Vaccine Uptake among Minority Communities in Middle Tennessee

To end or curtail the COVID-19 pandemic, it is essential to incorporate mobile vaccination programs into the national vaccination strategy. Mobile COVID-19 vaccination programs play an important role in providing comprehensive vaccination from federally qualified institutions to underserved communities facing a higher risk for COVID-19 acquisition. The Meharry Medical College COVID-19 mobile vaccine program (MMC-MVP) has provided lifesaving COVID-19 vaccines, free of charge, to communities throughout Middle Tennessee. Mobile deployment is vital for those forced to travel long distances to get vaccinated and who have limited access to medical providers or vaccine clinics, lack access to public transportation, or may be homebound. The MMC-MVP, established on 13 April 2021, via funding from the Bloomberg Foundation, is sourced with infectious disease experts, nurse practitioners, and community engagement personnel to provide COVID-19 vaccinations and information in a culturally competent manner to diverse communities in Middle Tennessee. To provide broader access to COVID-19 vaccinations and vaccine-related information, the MMC-MVP partnered with the Tennessee Community Engagement Alliance, Vanderbilt University School of Nursing COVID-19 vaccine strike teams, non-academic, community-based organizations, and faith-based organizations. During the September 2021 COVID-19 surge in Tennessee, the MMC-MVP provided nearly 5000 free COVID-19 vaccinations to targeted, underserved communities. The MMC-MVP has provided vaccine equity in communities with the highest risk for acquiring COVID-19 and with greatest need in this pandemic

Breakthrough COVID-19 Infections in the US: Implications for Prolonging the Pandemic

The incidence of COVID-19 breakthrough infections—an infection that occurs after you have been vaccinated—has increased in frequency since the Delta and now Omicron variants of the SARS-CoV-2 coronavirus have become the dominant strains transmitted in the United States (US). Evidence suggests that individuals with breakthrough infections, though rare and expected, may readily transmit COVID-19 to unvaccinated populations, posing a continuing threat to the unvaccinated. Here, we examine factors contributing to breakthrough infections including a poor immune response to the vaccines due to the fact of advanced age and underlying comorbidities, the natural waning of immune protection from the vaccines over time, and viral variants that escape existing immune protection from the vaccines. The rise in breakthrough infections in the US and how they contribute to new infections, specifically among the unvaccinated and individuals with compromised immune systems, will create the need for additional booster vaccinations or development of modified vaccines that directly target current variants circulating among the general population. The need to expedite vaccination among the more than 49.8 million unvaccinated eligible people in the US is critical

The COVID-19 Vaccine and Pregnant Minority Women in the US: Implications for Improving Vaccine Confidence and Uptake

The American College of Obstetricians and Gynecologists (AGOG) recommends the FDA-approved Pfizer and Moderna mRNA COVID-19 vaccines and boosters for all eligible pregnant women in the US. However, COVID-19 vaccine confidence and uptake among pregnant minority women have been poor. While the underlying reasons are unclear, they are likely to be associated with myths and misinformation about the vaccines. Direct and indirect factors that deter minority mothers in the US from receiving the mRNA COVID-19 vaccines require further investigation. Here, we examine the historical perspectives on vaccinations during pregnancy. We will examine the following aspects: (1) the influenza and tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis (Tdap) vaccinations during pregnancy; (2) the exclusion of pregnant and lactating women from COVID-19 vaccine trials; (3) COVID-19 vaccine safety during pregnancy, obstetric complications associated with symptomatic COVID-19 during pregnancy, COVID-19 vaccine hesitancy among pregnant minority women, and racial disparities experienced by pregnant minority women due to the COVID-19 pandemic as well as their potential impact on pregnancy care; and (4) strategies to improve COVID-19 vaccine confidence and uptake among pregnant minority women in the US. COVID-19 vaccine hesitancy among minority mothers can be mitigated by community engagement efforts that focus on COVID-19 vaccine education, awareness campaigns by trusted entities, and COVID-19-appropriate perinatal counseling aimed to improve COVID-19 vaccine confidence and uptake

The role of histological subtypes in the survival of patients diagnosed with cutaneous or mucosal melanoma in the United States of America.

BackgroundLiterature presents limited information on histological subtypes and their association with other factors influencing the survival of melanoma patients. To explore the risk of death due to melanoma associated with histological subtypes, this retrospective study used the Surveillance, Epidemiology, and End Results program (SEER) data from 1998 to 2019.MethodsA total of 27,532 patients consisting of 15,527 males and 12,005 females. The Hypertabastic Accelerated Failure Time model was used to analyze the impact of histology on the survival of patients with cutaneous or mucosal melanoma.ResultsThe median survival time (MST) for cutaneous patients was 149 months, whereas those diagnosed with mucosal melanoma was 34 months. Nodular melanoma had a hazard ratio of 3.40 [95% CI: (2.94, 3.94)] compared to lentigo maligna melanoma. Across all histological subtypes, females had a longer MST, when compared to males. The hazard ratio (HR) of distant to localized melanoma was 9.56 [95% CI: (7.58, 12.07)].ConclusionsKnowledge of patients' histological subtypes and their hazard assessment would enable clinicians and healthcare providers to perform personalized treatment, resulting in a lower risk of complication and higher survivability of melanoma patients. Significant factors were stage of the disease, age, histology, sex, and income. Focus should be placed on high-risk populations with severe and aggressive histological subtypes. Programs that emphasize preventive measures such as awareness, education, and early screening could reduce risk