Disparities In Incidence Research Articles

Revisiting COVID-19 Maps with Bayesian Hierarchical Modelling: Socioeconomic Insights from Istanbul

Abstract Objectives This study explores the spatial disparities in COVID-19 incidence across neighborhoods in Uskudar, Istanbul, and examines the relationship between these disparities and neighborhood-level socioeconomic status. Methods This ecological study analyzed cumulative COVID-19 case data for 33 neighborhoods in Uskudar, collected up to 31 December 2020. Socioeconomic status was assessed using the Socioeconomic Development Index (SEDI) scores from Istanbul Metropolitan Municipality. Spatial analysis included Moran’s I statistics and Local Indicators of Spatial Association (LISA) cluster analysis. Bayesian Hierarchical Modeling with the Besag-York-Mollie (BYM) model was employed to decompose spatially structured and unstructured variations, adjusting for SEDI scores and their sub-components. Model validation involved convergence diagnostics and Monte Carlo error assessments. Results A total of 29,834 COVID-19 cases were identified, with an incidence rate of 56.1 per 1000 residents. Spatial analysis revealed significant clustering of high incidence rates in peripheral and inner city neighborhoods. Moran’s I statistic for COVID-19 incidence was 0.331 (p = 0.003), indicating positive spatial autocorrelation. SEDI scores were also spatially autocorrelated (Moran’s I = 0.293; p = 0.005) and negatively correlated with COVID-19 incidence (r = -0.570; p = 0.001). Bayesian hierarchical models confirmed the association between lower socioeconomic status and higher COVID-19 incidence, even after adjusting for spatial autocorrelation. Conclusions The study highlights significant spatial and socioeconomic disparities in COVID-19 incidence in Uskudar, Istanbul. Lower socioeconomic status is associated with higher COVID-19 incidence, underscoring the need for region-specific public health strategies that consider socioeconomic factors. These findings can guide future interventions to mitigate the impact of the pandemic on vulnerable populations. Key messages • Study reveals COVID-19 incidence in Uskudar is significantly influenced by socioeconomic status, highlighting need for targeted health interventions. • Positive spatial autocorrelation found in COVID-19 cases and socioeconomic index suggests clustering in specific Uskudar neighborhoods.

Social vulnerability and disparities in incidence of diagnosed diabetes in the united states, 2004 to 2019

Abstract Introduction Vulnerable populations experience a higher burden of cardiovascular disease.(1) However, the incidence of cardiovascular risk factors, such as diabetes, within these populations, is incompletely characterized. Recently, the United States Centers for Disease Control and Prevention (US CDC) developed the Social Vulnerability Index (SVI) to categorize counties that may be vulnerable to worse health outcomes. The SVI is composed of 4 themes: socioeconomic status (Theme 1), household composition & disability (Theme 2), minority status & language (Theme 3), and housing type & transportation (Theme 4).(2) We sought to evaluate the association of the 4 SVI themes with county incidence of diagnosed diabetes. Method We used CDC data (2004-2019; reported for 94% of US counties), on county incidence of diagnosed diabetes. The SVI themes were scored from 0 to 1 (low to high vulnerability) based on national percentile ranking. We used weighted least squares regression with restricted cubic splines to model the relationship between SVI themes and incidence of diagnosed diabetes (median data 2004−2019), adjusting for median age, sex ratio, state, percent uninsured, food environment index, healthcare providers, and rurality.(3) The partial effects of SVI themes and diabetes incidence were reported as F-statistics (P-values) and diabetes incidence rate ratios (IRR [95% confidence interval]), which were plotted for all values compared with the 50th percentile (SVI 0.5). For each theme, we also present the IRR for a 0.5-point increase when moving over the lower (SVI score 0.5 vs. 0.0) and the upper (1.0 vs. 0.5) half of the SVI score distribution. Results The 4 SVI theme rank scores were significantly associated with diabetes incidence (all, P<.001). However, Theme 1 and 2 scores showed stronger associations with IRR than Theme 3 and 4 (Figure). For Theme 1, SVI score 0.5 vs. 0.0 was associated with a 15% higher incidence (IRR 1.15 [1.13–1.18]) and score 1.0 vs. 0.5 was associated with a 13% higher incidence (IRR 1.13 [1.11–1.16]). For Theme 2, SVI score 0.5 vs. 0.0 was associated with a 16% higher incidence (IRR 1.16 [1.14–1.18]), but there was no difference between rates for SVI score 1.0 vs. 0.5 (IRR 1.01 [0.99–1.03]). For Theme 3, there was no difference between SVI score 0.5 vs. 0.0 (IRR 0.98 [0.96–1.00]), but rates were 8% lower for SVI score 1.0 vs. 0.5 (IRR 0.92 [0.90–0.94]). For Theme 4, SVI score 0.5 vs. 0.0 was associated with a 3% lower incidence (IRR 0.97 [0.96–0.99]) and score 1.0 vs. 0.5 was associated with a 2% higher incidence (IRR 1.02 [1.01–1.04]). Conclusion In US counties, the strength and directionality of the association between SVI themes and diabetes incidence differed by theme and level of SVI scores. These themes, particularly socioeconomic status and household composition & disability may be leveraged to identify high-risk counties for primary prevention of diabetes, with implications for reduction in cardiovascular risk.

Spatial disparities in cancer incidence and mortality, indicating gaps in prevention and/or care

Abstract Background There is a rich literature on the distribution of cancer incidence and mortality in socioeconomically different regions of the world, but none of the studies has compared the spatial distribution of mortality and morbidity to see if they are consistent with each other. Methods All malignant neoplasms and separately by cervical, colorectal, breast, pancreatic, lung and oral cancers were studied in the Hungarian population aged 25-64 years for the period 2007-2018 at the municipality level by sex. In each case, the spatial distribution of morbidity and mortality and their clusters were compared with each other and with the level of deprivation using disease mapping, spatial regression, risk analysis and spatial scan statistics. Results All-cause cancer morbidity and mortality showed a significant association with deprivation. However, the slope of the increase in mortality with increasing deprivation was much steeper than for morbidity in both sexes. The association between deprivation and morbidity was not consistent across all cancers. No significant association was found for male colorectal cancer (RR: 1.003; 95%CI 0.986-1.019), pancreatic cancer (1.014; 95%CI 0.983-1.045) and female colorectal cancer morbidity (RR: 0.977; 95%CI 0.991-1.029), whereas a negative association was found for breast cancer morbidity (RR: 0.977; 95%CI 0.963-0.991). In contrast, a positive association between deprivation and mortality was found for each type of cancer, although with different RRs. However, disease mapping analyses showed only partial overlap between high-risk morbidity and mortality areas, often independent of deprivation. Conclusions Our results highlight not only the diverse relationship between the epidemiological situation and deprivation, but also the disproportionate relationship between cancer morbidity and mortality, thus identifying geographical regions and sub-regions with populations that require special public health attention. Key messages • Comparative spatial analysis of cancer morbidity and mortality at the municipality level is strongly recommended to identify populations in need of targeted cancer prevention and/or care. • The usefulness of comparative spatial analysis of cancer morbidity and mortality is demonstrated in Hungary, one of the countries with the most unfavourable cancer burden in international comparison.

Comparative analysis of testicular and non-testicular choriocarcinoma: a population-based study

Background: Germ cell tumors (GCTs) are common solid tumors in young men, originating in the testicles or outside the gonads. Choriocarcinoma, a rare and aggressive subtype, primarily affects females but can also occur in males. Treatment options depend on the stage and location of the tumor, with early recognition being crucial for better outcomes. Comparative studies between testicular and non-testicular choriocarcinoma are crucial for understanding distinct features and prognoses. Methods: The study utilized SEER*Stat software to extract data and applied statistical methods such as chi-square analysis and Kaplan-Meier method. Inclusion criteria focused on patients diagnosed with choriocarcinoma between 2000 and 2018, while exclusion criteria eliminated cases without histological confirmation or with other tumors. Results: Among 363 patients, 270 (74.4%) had testicular CC, and 93 (25.6%) had non-testicular CC. Notably, testicular CC was more common in white patients, which could indicate demographic or environmental factors at play. Patients with testicular CC were more likely to undergo surgery, suggesting a significant treatment trend. It’s worth exploring whether patient preferences or observed post-surgery improvements contribute to this pattern. Testicular CC had a higher 5-year OS rate of 54% versus 29%, and a higher 5-year CSS rate of 56.3% versus 31.9%, respectively. Conclusion: This study reveals distinct characteristics and treatment responses in testicular and non-testicular choriocarcinoma, emphasizing the need for personalized management based on subtype. Our findings highlight racial disparities in incidence and the efficacy of surgical intervention for both types, while chemotherapy benefits extragonadal cases and radiotherapy’s role requires further evaluation.

Racial disparities in prostate cancer in the UK and the USA: similarities, differences and steps forwards.

In the USA, Black men are approximatelytwice as likely to be diagnosed with and to die of prostate cancer than white men. In the UK, despite Black men having vastly different ancestral contexts and health-care systems from Black men in the USA, the lifetime risk of being diagnosed with prostate cancer is two-to-three times higher among Black British men than among white British men and Black British men are twice as likely to die of prostate cancer as white British men. Examination of racial disparities in prostate cancer in the USA and UK highlights systemic, socio-economic and sociocultural factors that might contribute to these differences. Variation by ancestry could affect incidence and tumour genomics. Disparities in incidence might alsobe affected by screening guidelines and access to and uptake of screening. Disparities in treatment access, continuity of care and outcomes could contribute to survival differences. In both localized and metastatic settings, equal access could diminish the observed disparities in both the USA and the UK. An understanding of behavioural medicine, especially an appreciation of cultural beliefs about illness and treatment, could inform and improve the ways in which health systems can engage withand deliver care to patients in minoritized groups affected by prostate cancer. Methods of promotingequity include targeting systemic barriers including systemic racism,proportional recruitment of patients into clinical trials, diversifying the health-care workforce and facilitating care informed by cultural humility.Actively engaging patients and communities in research and intervention might enable the translation of research into increasingly equitable care for patients with prostate cancer in the UK, the USAand globally.

Genitourinary Cancer Care in Low- and Middle-Income Countries: Disparities in Incidence and Access to Care

Genitourinary Cancer Care in Low- and Middle-Income Countries: Disparities in Incidence and Access to Care

Disparities in Salmonellosis Incidence for US Counties with Different Social Determinants of Health Profiles Are Also Mediated by Extreme Weather: A Counterfactual Analysis of Laboratory Enteric Disease Surveillance (LEDS) Data From 1997 to 2019

Understanding disparities in salmonellosis burden is critical for developing effective, equitable prevention programs. Past efforts to characterize disparities were limited in scope and by the analytical methods available when the study was conducted. We aim to address this gap by identifying disparities in salmonellosis incidence between counties with different determinants of health (DOH) profiles. Using national U.S. Laboratory-based Enteric Disease Surveillance (LEDS) data for 1997–2019, age-adjusted county-level salmonellosis incidence/100,000 persons was calculated and linked to publicly available DOH data. We used hurdle counterfactual random forests (CFRFs) to quantify, for each DOH, the risk that (i) ≥1 versus no cases were reported by a county, and (ii) when ≥1 case was reported, whether a high (≥16 cases/100,000 persons) or low incidence (≥1 & <4 cases/100,000 persons) was reported. Risk in both models was significantly associated with demographic DOH, suggesting a disparity between counties with different demographic profiles. Risk was also significantly associated with food, healthcare, physical, and socioeconomic environment. The risk was generally greater for counties with more negative food resources, and for under-resourced counties (e.g., fewer healthcare and social services, fewer grocery stores). Risk was also significantly higher if any extreme weather event occurred. The study also found that underreporting and underascertainment appeared to result in underestimation of salmonellosis incidence in economically marginalized and under-resourced communities. Overall, our analyses indicated that, regardless of other county characteristics, extreme weather was associated with increased salmonellosis incidence, and that certain communities were differentially disadvantaged toward a higher incidence. This information can facilitate the development of community-specific prevention efforts.

Racial/ethnic differences in the association of incident stroke with late onset epilepsy: The Northern Manhattan Study.

Little is known about the incidence of late onset epilepsy (LOE) across different racial/ethnic groups in the USA, particularly in the Hispanic population. Stroke, a strong predictor of LOE, is more common in non-Hispanic Blacks (NHBs) and Hispanics than in non-Hispanic Whites (NHWs). We assessed the incidence of LOE across racial/ethnic groups and examined whether the associations of stroke with LOE risk differ by race/ethnicity. The Northern Manhattan Study is a population-based longitudinal study of older adults enrolled between 1993 and 2001. Participants free of history of stroke or epilepsy at baseline (n = 3419) were followed prospectively for incidence of LOE. We estimated LOE incidence per 1000 person-years in each racial/ethnic group. We used Cox proportional hazards regression to assess the association of race/ethnicity with LOE and multiplicative interactions of race/ethnicity with incident stroke in relation to LOE, adjusting for demographics and comorbid diagnoses. During 51 176 person-years of follow-up, 183 individuals developed LOE. Incidence of LOE was significantly higher in NHBs (6.2 per 1000 person-years) than in NHWs (3.3 per 1000 person-years, p = .004). There was no significant difference in LOE incidence between NHWs (3.3 per 1000 person-years) and Hispanics (2.6 per 1000 person-years, p = .875). However, following incident stroke, the risk of LOE differed across racial/ethnic groups. Incident stroke was associated with 2.55 times the risk of LOE among NHWs (95% confidence interval [CI] = .88-7.35), 8.53 times the risk of LOE among Hispanics (95% CI = 5.36-13.57, p = .04 for stronger association than that in NHWs), and 6.46 times the risk of LOE among NHBs (95% CI = 3.79-11.01, p = .12 for stronger association than that in NHWs). We found a stronger association of incident stroke with LOE risk in Hispanics and NHBs than in NHWs, offering some insight into the racial/ethnic disparities of LOE incidence.

Trends in Retinopathy of Prematurity Among Preterm Infants in California, 2012 to 2021

The incidence of retinopathy of prematurity (ROP) has been increasing in the US since 2003. Understanding the progression of and racial disparities in ROP incidence in California can provide a contrasting perspective that may guide future research and practice in the management and prevention of ROP. To describe how the screening and incidence of ROP among very preterm infants in California changed from January 1, 2012, to December 31, 2021. This study used a cohort of very preterm infants (defined as infants born prior to 32 weeks' gestational age or weighing less than 1500 g) admitted to 60 neonatal intensive care units across California from January 1, 2012, to December 31, 2021. Among this cohort, several factors were examined, including (1) the clinical and sociodemographic covariates of the population with and without ROP, (2) trends in screening for ROP, and (3) the incidence of ROP in total and by race and ethnicity. Data analysis was performed in April 2024. Race and ethnicity and other birthing parental and infant descriptive characteristics. Incidence rates of ROP and severe ROP. The primary measures were rates of ROP screening and incidence rates of ROP and severe ROP. Time trends in the risk of ROP and severe ROP were estimated using robust Poisson regression models. In this cohort of 39 269 very preterm infants (<32 weeks' gestational age) eligible for ROP screening, the mean (SD) infant gestational age was 28.6 (2.6) weeks. The mean (SD) birth weight was 1075 (274) g, and 48.6% of infants were female. The birthing parents of the population were 12.6% Asian, 13.3% Black, 44.9% Hispanic White or Hispanic other race, 0.7% Native American/Alaskan, 24.7% non-Hispanic White, and 1.0% Pacific Islander. From January 1, 2012, to December 31, 2021, in California, ROP screening rates remained steady at 95% or greater for eligible infants less than 30 weeks of gestational age for all race and ethnic subgroups. In this study cohort among all very preterm infants (<32 weeks' gestational age), the incidence of ROP decreased from 31% in 2012 to 29% in 2021. Incidence rates of ROP among Asian and Hispanic individuals decreased the most quickly compared to other racial and ethnic groups, narrowing disparities. In this cohort study, in contrast to increasing national trends, the total incidence of and racial and ethnic disparities in ROP incidence remained steady or decreased from 2012 to 2021 in California.

Status of uterine cervix cancer mortality and incidence disparities in Appalachian eastern Kentucky.

132 Background: Cervical cancer continues to affect the Appalachian population to a higher degree than the rest of the American population. Researchers believe the increased prevalence of cervical cancer in the Appalachian area is due to health disparities across the area. Methods: We queried the Kentucky Cancer Registries online public Cancer Incidence and Mortality Inquiry System to determine changes in age adjusted invasive cervical cancer incidence and mortality rates in Appalachian (AK) and Non-Appalachian Kentucky (NAK) counties over time. Incidence rate ratios were used to analyze the difference in cervical cancer incidence and mortality between Appalachian KY and non-Appalachian KY populations across several time periods. Results: In 1995-1999, there was a statistically significant difference in cervical cancer incidence between AK and NAK 14.8 vs. 12.7/100,000 people (p= 0.0035) and mortality 4.6 vs. 4.0/100,000 (p=0.0471). The cervical cancer incidence was 16.9% higher in AK versus NAK and mortality was 18.4% higher in AK versus NAK. In 2016-2020, there was a statistically significant difference in cervical cancer incidence between AK and NAK 12.1 vs. 8.9/100,000 people (p≤ 0.0001) and mortality between AK and NAK 3.6 vs. 2.3/100,000 people (p= 0.0001). The cervical cancer incidence was 36% higher in AK versus NAK and mortality was 55.7% higher in AK versus NAK. Conclusions: Disparities between in Appalachian Kentucky and Non-Appalachian Kentucky in cervical cancer incidence and mortality not only have persisted since the 1990’s, but they have widened proportionally over time as survival gains have lagged in Appalachia. The observed cervical cancer outcome disparities are likely contributed to by not only the lack of general health education in the region, but more importantly barriers to care access contributing to a lower use of Pap testing in the area. Higher rates of poverty, increased rates of smoking and HPV infection also likely play a role. Research has been conducted to observe identified opportunities for intervention and begin collaborative efforts in the region engineered towards a cervical cancer risk reduction program, but the need for improvement clearly remains. Cervical cancer mortality rates in Appalachian Kentucky vs. non-Appalachian Kentucky, 1995-2020. Appalachia Non-Appalachia Population at Risk Deaths Crude Rate/100,000 Age-Adjusted Rate 95% Confidence Interval Population at risk Deaths Crude Rate/100,000 Age-Adjusted Rate 95% Confidence Interval 1995-1999 2928468 145 5 4.6 [3.9-5.4] 7209127 301 4.2 4 [3.6-4.5] 2000-2004 2962204 102 3.4 3.2 [2.6-3.9] 7485965 214 2.9 2.7 [2.3-3.1] 2005-2009 2986284 117 3.9 3.5 [2.9-4.2] 7833348 225 2.9 2.6 [2.3-3.0] 2010-2015 3577269 141 3.9 3.4 [2.8-4.0] 9803897 277 2.8 2.5 [2.2-2.9] 2016-2020 2941022 121 4.1 3.6 [3.0-4.4] 8378683 221 2.6 2.3 [2.0-2.7]

S2330 Racial/Ethnic Disparities in Gastric Cancer Incidence and Mortality Among Individuals Aged 50 Years and Above: A Population-Based Analysis

S2330 Racial/Ethnic Disparities in Gastric Cancer Incidence and Mortality Among Individuals Aged 50 Years and Above: A Population-Based Analysis

S114 Gender and Racial Disparities in Pancreatic Cancer Incidence in Texas: A Statewide Population-Based Analysis

S114 Gender and Racial Disparities in Pancreatic Cancer Incidence in Texas: A Statewide Population-Based Analysis

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.

Racial disparities in COVID-19 incidence and outcomes have been widely reported. Non-Hispanic Black patients endured worse outcomes disproportionately compared with non-Hispanic White patients, but the epidemiological basis for these observations was complex and multifaceted. This study aimed to elucidate the potential reasons behind the worse outcomes of COVID-19 experienced by non-Hispanic Black patients compared with non-Hispanic White patients and how these variables interact using an explainable machine learning approach. In this retrospective cohort study, we examined 28,943 laboratory-confirmed COVID-19 cases from the OneFlorida Research Consortium's data trust of health care recipients in Florida through April 28, 2021. We assessed the prevalence of pre-existing comorbid conditions, geo-socioeconomic factors, and health outcomes in the structured electronic health records of COVID-19 cases. The primary outcome was a composite of hospitalization, intensive care unit admission, and mortality at index admission. We developed and validated a machine learning model using Extreme Gradient Boosting to evaluate predictors of worse outcomes of COVID-19 and rank them by importance. Compared to non-Hispanic White patients, non-Hispanic Blacks patients were younger, more likely to be uninsured, had a higher prevalence of emergency department and inpatient visits, and were in regions with higher area deprivation index rankings and pollutant concentrations. Non-Hispanic Black patients had the highest burden of comorbidities and rates of the primary outcome. Age was a key predictor in all models, ranking highest in non-Hispanic White patients. However, for non-Hispanic Black patients, congestive heart failure was a primary predictor. Other variables, such as food environment measures and air pollution indicators, also ranked high. By consolidating comorbidities into the Elixhauser Comorbidity Index, this became the top predictor, providing a comprehensive risk measure. The study reveals that individual and geo-socioeconomic factors significantly influence the outcomes of COVID-19. It also highlights varying risk profiles among different racial groups. While these findings suggest potential disparities, further causal inference and statistical testing are needed to fully substantiate these observations. Recognizing these relationships is vital for creating effective, tailored interventions that reduce disparities and enhance health outcomes across all racial and socioeconomic groups.

Regional diversity in drug-induced lung diseases among the USA, European Union, and Japan.

Drug-induced lung disease (DILD) is a considerable and potentially fatal adverse event with poorly understood risk factors. Large-scale, data-driven analyses investigating regional discrepancies in DILD incidence are lacking. The aim of this study was to investigate the potential association among DILD prevalence, regional differences and other factors based on large-scale data base. This retrospective observational study analyzed spontaneous adverse event reports from the FDA Adverse Event Reporting System (FAERS) database between January 2010 and December 2020. Regional disparities in DILD incidence were assessed among reports from the United States of America (USA), the European Union (EU), and Japan (JP). Using multivariate logistic regression accounting for age, sex, and reporting years, we calculated the reporting odds ratios (RORs) with 95% confidence intervals. Subgroup analyses were performed for different types of anticancer agents, including tyrosine kinase inhibitors (TKIs), immune checkpoint inhibitors (ICIs), antibody-drug conjugates (ADCs), and cytotoxic agents. Regional differences in RORs were observed for anticancer drugs in reports from JP and the EU compared with those from the USA (JP, ROR 4.432; EU, ROR 1.291) and for non-anticancer drugs (JP, ROR 3.481; EU, ROR 1.086). Significantly higher RORs were observed for all anticancer drug regimens reported in JP than in the USA (TKIs, ROR 3.274; ICIs, ROR 2.170; ADCs, ROR 2.335; cytotoxic agents, ROR 3.989). The EU reports exhibited higher RORs for TKIs and cytotoxic agents than the USA reports, with no significant differences in ICIs or ADCs (TKIs, ROR 1.679; ICIs, ROR 1.041; ADCs, ROR 1.046; cytotoxic agents, ROR 1.418). The prevalence of DILD in JP, the EU, and the USA differed. These findings have important implications in evaluating the safety profiles of drugs and patient safety in drug development and clinical practice. This study is the first to identify regional differences in DILDs using a large global database.

Abstract A038: Uncovering the role of social determinants of health in racial disparities in cancer incidence in Alabama

Abstract Purpose Black-White racial disparities have long been recognized in cancer incidence. National estimates may not reflect racial disparities in individual states. In Alabama (AL), a primarily rural underserved state, Black Americans are more often diagnosed with breast, prostate and colorectal cancer (CRC), with Black men more often diagnosed with lung cancer. Although rurality and area-level deprivation, as social determinants of health (SDoH), have been associated with cancer, their role in explaining racial disparities in cancer incidence remains unknown. We assessed racial disparities in breast, prostate, CRC and lung cancer incidence in AL. Methods We used the Alabama Statewide Cancer Registry (ASCR) to collect data on incident cases of breast, prostate, CRC and lung cancers diagnosed between January 1, 2010 and December 31, 2019. We categorized cases according to age group (0-14, 15-19, 20-24, 25-34, 35-44, 45-64, 65-84, ≥85 years), racial/ethnic group (non-Hispanic Black/White), rural-urban status (defined by AL Rural Health Association), and national area deprivation index (ADI) quartile (Q1-Q4) of census tract at diagnosis. For each combination of these variables, we calculated age-adjusted incidence per 100,000. We conducted bivariate descriptive analysis of incidence rates by race, and rural-urban status and ADI quartile stratified by race. Results Incidence of breast, prostate and CRC cancer was higher in Black versus White individuals (breast 143 vs 127; prostate 206 vs100; CRC males 57.2 vs 45.4, CRC females 42.7 vs 32.6). Lung cancer incidence was higher in Black males and White females (Black vs White: males 82.7 vs 77.6; females 36.9 vs 49.9). In all cancers, racial differences in incidence existed by rural versus urban status (breast Black 142 vs 144, breast White 131 vs 124; prostate Black 204 vs 207, prostate White 101 vs 99.4; male CRC Black 60 vs 55.3, male CRC White 47.7 vs 43, female CRC Black 43.5 vs 42.3, female CRC White 35.2 vs 30.2; male lung Black 84.5 vs 81.7, male lung White 85.1 vs 70.2, female lung Black 31.4 vs 40.1, female lung White 54.4 vs 45.6). In all cancers, racial differences in incidence also existed by ADI status (reporting Q1 vs Q4) [breast Black 190 vs 130, breast White 144 vs 118; prostate Black 269 vs 189, prostate White 109 vs 101; CRC male Black 64.2 vs 56.7, CRC male White 41.2 vs 49.7, CRC female Black 43.4 vs 43.5, CRC female White 29.5 vs 36.6; lung male Black 73.7 vs 91, lung male White 57.9 vs 97.6, lung female Black 41 vs 37.7, lung female White 40.8 vs 60.7]. Conclusions In AL, racial differences in incidence rates for each of the most common cancers exist overall and by key SDoH. Generally, Black individuals have higher rates of cancer, particularly those in rural and low ADI areas. Next, we will perform a decomposition analysis to decompose the Black/White differences in incidence into a portion explained and unexplained by rural-urban status and ADI. Ultimately, these results may inform interventions in a rural underserved state with a large Black population at higher risk of cancer. Citation Format: Mackenzie E. Fowler, Hayden Reeves, Melissa J. Smith, Geetanjali Saini, Mahak Bhargava, Ritu Aneja. Uncovering the role of social determinants of health in racial disparities in cancer incidence in Alabama [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A038.

Abstract A081: Comprehensive examination of disparities in cancer incidences by race, gender, and age over 65 years in Alabama's Black belt counties, USA

Abstract In the United States, significant disparities persist in cancer incidence, mortality, and treatment outcomes, particularly among Black populations. Despite advances in medical care, disparities continue to challenge efforts to achieve health equity. Understanding and addressing these complex issues are imperative to ensure that all individuals, regardless of race or ethnicity, have equal access to effective cancer prevention, diagnosis, and treatment. Alabama stands out as the leading state among the top ten in terms of densely populated Black Belt counties in the United States. With 67 counties in total, Alabama is home to 24 designated Black Belt counties. Given this concentration, Alabama becomes a key focus for comprehending cancer disparities. The ongoing research seeks to examine the occurrence of various types of cancer among the predominant racial groups in the United States, focusing particularly on the Black Belt counties of Alabama. Data on cancer occurrences, obtained from the database of National Cancer Institute (NIH) and the Centers for Disease Control and Prevention (CDC), offer insights into cancer incidences among various demographic groups, age categories, and specific types of cancer spanning the last five years (2016-2020). Analysis of the data, focusing on patients aged 65 years and older, was performed using GraphPad Prism 5 software. Graphs were created to visually represent and interpret the data regarding incidences per 100,000 populations. We observe significantly elevated incidences of major cancer types such as prostate, colon, lung, stomach, pancreas, and liver among Black males, and similarly heightened rates of uterus, cervix, stomach, pancreas, and kidney cancers among Black females, when compared to white populations. Notably, within Alabama's Black Belt regions, only a small number of counties have reported incidences of cancer regardless of gender and cancer types, except for prostate cancer in males and breast cancer in females. Moreover, in certain Black Belt counties, rates of colon and lung cancer (in both males and females), as well as prostate cancer in males and breast cancer in females, are exceptionally elevated compared to both the statewide average in Alabama and even the national average in the United States. Generally, females tend to have lower rates of cancer across various types compared to males. In conclusion, factors contributing to these disparities include genetic predispositions, socioeconomic status, healthcare accessibility, systemic biases, and cultural influences. Further investigations, including molecular screening studies, are imperative to corroborate these health disparities and foster community-wide cancer awareness and public health initiatives. Citation Format: Faith Onomeh, Anathbandhu Chaudhuri. Comprehensive examination of disparities in cancer incidences by race, gender, and age over 65 years in Alabama's Black belt counties, USA [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A081.

Abstract C169: Investigating the effects of ancestry in KRAS mediated lung adenocarcinoma: Exploring intratumoral heterogeneity and mitochondrial dynamics

Abstract Demonstrating a combination of high prevalence, late detection, and low survival, Lung cancer is the leading cause of cancer related deaths worldwide (Sainz de Aja J, 2021) and Lung Adenocarcinoma (LUAD) is its most prevalent pathologic subtype (Zhou, 2021). Emerging from within the distal alveolar epithelium, LUAD presents with vast heterogeneity in histology, mutational spectra, and epigenomic dysregulation (Sainz de Aja J, 2021) (Zhou, 2021). Additionally, LUAD’s considerable intratumoral heterogeneity manifests vast genomic and phenotypic diversity across tumor cells and cellular components of the tumor microenvironment (TME) within the same tumor tissue. LUAD also reveals significant racial disparities in incidence, survival and mortality rates between White and Black men in the United States. The occurrence of LUAD is approximately 68.3 per capita for Black men and 61.5 per capita for White men, reflecting an 11% higher rate in the former. Further, survival outcomes indicate that Black men generally exhibit lower 5-year relative survival rates compared to White men, highlighting greater mortality risk and conspicuously poorer prognosis (Siegel RL et al., 2023). While addressing the social determinants of health is vital for the mitigation of health disparities, understanding the genetic and molecular foundations that underly racial health inequities is essential for developing comprehensive interventions and advancing more precise therapeutic modalities for more diverse patient populations. Single Nucleotide Polymorphisms (SNPs) can influence oncogenic transformation and may be associated with distinct molecular landscapes in tumors and adjacent TME. Furthermore, ancestry may play a pivotal role in shaping individual susceptibility and risk for mitochondrial dysfunction and ensuing oncogenic transformation. To elucidate the biological underpinnings of racial health disparities in LUAD, 10 Black and 10 White male LUAD patients’ tumor and normal corresponding adjacent tissues underwent molecular profiling for KRAS mutation status, Whole Exome Sequencing (WES) to determine ancestry, and analysis of associated LUAD induced Mitochondrial Somatic Nucleotide Variants (mtSNVs). We also employed the 10X Visium HD spatial transcriptomic platform to evaluate spatially resolved molecular and cellular differences in KRAS mediated LUAD between Black and White men. Hypothesis: Thus, we propose that global ancestry is associated with variations in intratumoral heterogeneity, TME composition, and mitochondrial dynamics, indicating a potential role in the observed disparities in susceptibility, malignancy and mortality in LUAD across diverse patient populations. Citation Format: Eun Kyu Sung, Yuxin Jin, Yonatan Amzaleg, John Carpten, William Dean Wallace, Dan Raz, Aaron M. Neely. Investigating the effects of ancestry in KRAS mediated lung adenocarcinoma: Exploring intratumoral heterogeneity and mitochondrial dynamics [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C169.

Abstract A032: Disparities in molecular subtypes of acute lymphoblastic leukemia incidence by age, race/ethnicity, and sex in the United States

Abstract Acute lymphoblastic leukemia (ALL) is the most common cancer in children and a heterogeneous disease comprising several molecular subtypes. The increased risks of ALL in individuals assigned male at birth and in those of Hispanic/Latino ethnicity compared to non-Hispanic White individuals are well known. Less well-established are potential differences in the prevalence of specific molecular subtypes of ALL by sex or racial/ethnic groups. Here, we provide updates on incidence patterns for lymphoid leukemias reported by cancer registries across the United States, leveraging recent data on molecular subtypes of ALL. We obtained data from the North American Association of Central Cancer Registry (NAACCR) for United States-specific incidence cases from 2000 through 2020. Diagnoses and leukemia subtype reporting, limited to ALL only, was based on the International Classification of Diseases for Oncology, Third Edition (ICD-O-3). Age-adjusted (2000 US Standard) incidence rates (AAIR) were calculated using SEER*Stat (version 8.4.3). Incidence rate ratios (IRR) were calculated to assess patterns in leukemia incidence by sex and by race/ethnicity across three age groups: 0- 14 (children), 15-39 (adolescents and young adults, AYA) and 40+ (older adults) years. Information on selected molecular subtypes of ALL was available for cases diagnoses 2010 onwards, from ICD-0-3 histology codes that were determined by genetics and/or immunophenotyping. Overall and in each age group compared to non-Hispanic Whites (NHWs), Blacks/African- Americans (B/AAs) had significantly lower AAIRs for ALL whereas Hispanic/Latinos (H/Ls) had significantly higher AAIRs, in particular for B-cell ALL. Analysis by molecular subtypes revealed that overall, H/Ls were at higher risk for BCR::ABL1 translocation than NHWs, with the greatest difference seen in AYAs in which H/Ls had a 2.5-fold (95% CI=2.08-3.00) higher risk of BCR::ABL1. In children, H/Ls had significantly higher incidences of several ALL subtypes compared with NHWs, including BCR::ABL1 (IRR=1.5; 95% CI=1.13-1.98) and TCF3::PBX1 (IRR=2.0; 95% CI=1.43-2.79) but also ETV6::RUNX1 and high hyperdiploidy (both IRR=1.27; 95% CI=1.12-1.43). Males were at significantly higher risk than females for ALL and its subtypes across all ages combined and stratified age categories. In particular, males had a 2.5- fold increased risk of precursor T-cell lymphoblastic leukemia compared to females (IRR=2.5; 95% CI=2.28-2.73) in all ages combined, and a 3.0-fold increased risk in both AYAs (95% CI=2.59-3.46) and older adults (95% CI=2.54-3.54). Among molecular subtypes, the highest IRR was observed for BCR::ABL1 in AYAs wherein males were at 50% increased risk (IRR=1.5; 95% CI=1.27-1.76). In addition to confirming the previously reported disparities in ALL incidence by race/ethnicity and by sex, we report an increased incidence of particular molecular subtypes of ALL in Hispanics/Latinos and in males. Studies to investigate potential genetic and environmental risk factors underlying these disparities are warranted. Citation Format: Anmol A. Pardeshi, Juanita Elizabeth Quino, Nicholas Acuna, Talar Habeshian, Raymond Hughley, Isabella Ortiz, Michelle Tran, Ying Yan, Cindy Zamora, Joseph l. Wiemels, Kai-Ya Tsai, Lihua Liu, Adam J de Smith. Disparities in molecular subtypes of acute lymphoblastic leukemia incidence by age, race/ethnicity, and sex in the United States [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A032.

Abstract A025: Trends in liver cancer mortality by sex, race, and ethnicity in California from 2000-2019

Abstract Background: Liver cancer disproportionately affects foreign-born individuals and racial and ethnic minoritized groups, with higher incidence among Asian American/Pacific Islander (AAPI) and Hispanic populations than non-Hispanic (NH) White populations. California has one of the highest overall mortality rates from liver cancer and a large proportion of AAPI and Hispanic residents compared to other U.S states. While prior studies have examined racial and ethnic disparities in liver cancer incidence and treatment, few studies have examined trends in liver cancer mortality in California by sex, race, and ethnicity. Methods: Adults aged 20+ years diagnosed with first primary malignant liver and intrahepatic bile duct cancer from January 2000 through December 2019 were identified through the California Cancer Registry, a statewide population-based cancer registry. We used SEER*Stat software to compute age-adjusted mortality rates (per 100,000 population; standardized to the 2000 U.S. standard million population) by sex, race, and ethnicity. To analyze temporal trends of mortality rates, we calculated annual percent change (APC) using Joinpoint regression. Results: Overall, the mortality rate of liver cancer increased from 8.05 to 10.75 per 100,000 (average APC=1.53, 95% CI 1.23, 1.82) from 2000-2019. For males, rates increased from 11.39 in 2000 to 15.77 until 2013 (APC=2.53, 95% CI 2.07, 3.21), and stabilizing thereafter (APC=-0.74, 95% CI -2.37, 0.30). In contrast, for females, mortality rates increased continuously from 2000-2019 from 5.27 to 7.17 (APC=1.63, 95% CI 1.27, 2.04). Across racial and ethnic groups, the mortality rate for liver cancer was highest for the AAPI adults at 16.77 in 2000, and this decreased over time to 12.29 in 2019 (APC=-3.17, 95% CI -5.36, -2.24). Similarly, the liver cancer mortality rate among Hispanic adults increased initially and then decreased. Mortality among non-Hispanic Black adults increased from 10.98 in 2000 to 12.99 in 2019 (APC=0.89, 95% CI -0.07, 2.02), though this did not reach statistical significance. The liver cancer mortality rate was lowest among non-Hispanic White adults from 5.65 in 2000 but increased over time to 7.87 in 2019 (APC=1.76, 95% CI 1.39, 2.08), which is still the lowest compared to other racial and ethnic groups. Discussion: In contrast to studies that show a decline in liver cancer mortality in recent years, liver cancer mortality rates have continued to increase in California, particularly for females. Liver cancer mortality rates initially increased for AAPI and Hispanic populations but have started to stabilize. Next steps are to understand multilevel drivers contributing to these trends in liver cancer mortality in California, including individual sociodemographic and clinical factors, healthcare system factors, and neighborhood factors, including neighborhood socioeconomic status and ethnic enclaves. Citation Format: Janet N. Chu, Meera Sangaramoorthy, Meg Mckinley, Stephen Li, Mindy C. DeRouen, Alice Guan, Michele M. Tana, Ma Somsouk, Caroline A. Thompson, Chanda Ho, Hashem B. El-Serag, Iona Cheng, Scarlett L. Gomez, Salma Shariff-Marco. Trends in liver cancer mortality by sex, race, and ethnicity in California from 2000-2019 [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A025.

Abstract A047: Neighborhood disadvantage and multiple myeloma risk among Black women living in the United States

Abstract Introduction: Multiple myeloma (MM) is a rare cancer of the plasma cells. Black men and women are at a greater than 2-fold increased risk of MM as compared to other racial/ethnic groups. In 2021, Black women living in the United States (U.S.) were diagnosed with MM at a rate of 13.9 per 100,000 women, and incidence has increased by more than 30% since 2000. Factors associated with the neighborhood in which Black women live and work may be one area to consider to disentangle this racial disparity in MM incidence and reduce the burden of disease for Black women. Methods: We evaluated the association between two neighborhood-level indices and MM within the Black Women’s Health Study, a longitudinal cohort of 59,000 self- identified Black women ages 21-69 at enrollment in 1995. Participant addresses at baseline were geocoded and linked with U.S. Census Bureau and American Community Survey data. We conducted a factor analysis to a create neighborhood concentrated disadvantage (nDIS) score, which included 6 variables: percentage of individuals below the poverty line, percentage of individuals on public assistance, percentage of female headed households, percentage unemployed, percentage of individuals ≤18 years, and percentage of Black residents. A neighborhood socioeconomic status (nSES) score included median household income, median housing value, percentage of households receiving interest, dividend or net rental income, percentage of adults aged ≥25 years who completed college, percentage of employed persons aged ≥16 years in occupations classified as managerial, executive or professional, and percentage of families with children that are not headed by a single female. We used Cox proportional hazards regression to calculate hazard ratios (HRs) and 95% confidence intervals (CI) for the association of quartiles of nSES and nDIS in relation to MM risk. Multivariable models were adjusted for age, body mass index, educational attainment, alcohol consumption, physical activity, and cigarette smoking. Results: During follow-up through 2021, we identified 276 incident cases of MM. Multivariable-adjusted HRs were 1.43 (95% CI: 1.00, 2.03) for women living in the highest quartile of neighborhood disadvantage relative to the lowest quartile, and 1.23 (95% CI: 0.86, 1.76) for women living in neighborhoods in the lowest quartiles of nSES compared to the highest. Conclusions: Black women in the U.S. living in neighborhoods of high concentrated disadvantage have an increased risk for MM compared to women who live in more advantaged communities, even after adjustment for individual SES as measured by educational attainment. Future studies to further tease apart specific neighborhood-level factors (e.g., walkability, chronic stress, environmental pollution, opportunities to engage in healthy behaviors) that might influence risk of MM would be beneficial. Ultimately, community reinvestment may offer an opportunity to reduce the increasing burden of MM among Black women. Citation Format: Etienne X. Holder, Julie R. Palmer, Kimberly A. Bertrand. Neighborhood disadvantage and multiple myeloma risk among Black women living in the United States [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A047.