Abstract A045: Pan-viral serological characterization in African Americans and European Americans with Hepatocellular Carcinoma

Abstract Hepatocellular carcinoma (HCC) is often diagnosed at late-stages, particularly among African Americans (AA). Poor screening and diagnosis are key factors that contribute to worse prognoses and disproportionately high mortality rates. We propose investigating viral exposure history as a potential useful screening method. Additionally, by accounting for neighborhood deprivation index (NDI), a metric for differences in socio-economic statuses, we can potentially mitigate this disparity. With NDI and viral exposure history, our study aims to assess HCC prognoses in racially disparate populations. We used a technique called VirScan, which conjugates Phage-Immunoprecipitation (PhIP) and DNA-sequencing, to profile the antibody repertoire against a viral epitope library. Analyzing serum and plasma samples from population controls (PC), individuals at high-risk for developing HCC (HR), and HCC cases, we performed VirScan on 524 AA (272 PC, 205 HR, and 47 HCC) and 342 European Americans (EA) (141 PC, 130 HR, and 71 HCC) participants from the NCI-UMD cohort between 2009-2020 from the greater Baltimore area (NCT00913757; clinicaltrials.gov). We used XGBoost, a machine- learning model, to classify viral features that can discriminate HCC cases from PC group. XGBoost predicted 31 important viral features which distinguish HCC from PC. Of the 31 viral features, 6 viruses were different between AA and EA (FDR < 0.05). To determine the extent to which socio-economic factors contribute to the cancer disparities, we gathered variables from the 1999 census tract as contributors to deprivation. We used Principal Component Analysis (PCA) to determine loadings of these contributor variables; composite of the final variables is derived as NDI. Comparing across groups, we find that average NDI is highest in HR group (x = 0.33), followed by HCC group (x = 0.21), then PC group (x = 0.19). We find that NDI for AA is significantly higher in HCC group (p = 1.3e-09), HR group (p < 2.2e-16), and PC group (p = 5.0e-10) when compared to that of EA. Thus, we demonstrate that both the viral exposure history and NDI of an individual might be useful in prognoses of HCC. This approach could be used to examine the disparities we see in both incidence and mortality of HCC between AA and EA. Citation Format: Theressa Ewa, Whitney Leet, Limin Wang, Marshonna Forgues, Xin Wei Wang. Pan-viral serological characterization in African Americans and European Americans with Hepatocellular Carcinoma [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 A045.

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Publication Details

Journal
Cancer Epidemiology Biomarkers & Prevention
Published
2024-09-21
DOI
https://doi.org/10.1158/1538-7755.disp24-a045
Primary Topic
Hepatitis B Virus Studies
Type
article
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article

Abstract A045: Pan-viral serological characterization in African Americans and European Americans with Hepatocellular Carcinoma

Theressa Ewa, Marshonna Forgues, Xin Wei Wang, Whitney Leet et al.
Cancer Epidemiology Biomarkers & Prevention
Hepatitis B Virus Studies
article

Abstract A045: Pan-viral serological characterization in African Americans and European Americans with Hepatocellular Carcinoma

Theressa Ewa, Marshonna Forgues, Xin Wei Wang, Whitney Leet, Limin Wang
article en

Abstract

Abstract Hepatocellular carcinoma (HCC) is often diagnosed at late-stages, particularly among African Americans (AA). Poor screening and diagnosis are key factors that contribute to worse prognoses and disproportionately high mortality rates. We propose investigating viral exposure history as a potential useful screening method. Additionally, by accounting for neighborhood deprivation index (NDI), a metric for differences in socio-economic statuses, we can potentially mitigate this disparity. With NDI and viral exposure history, our study aims to assess HCC prognoses in racially disparate populations. We used a technique called VirScan, which conjugates Phage-Immunoprecipitation (PhIP) and DNA-sequencing, to profile the antibody repertoire against a viral epitope library. Analyzing serum and plasma samples from population controls (PC), individuals at high-risk for developing HCC (HR), and HCC cases, we performed VirScan on 524 AA (272 PC, 205 HR, and 47 HCC) and 342 European Americans (EA) (141 PC, 130 HR, and 71 HCC) participants from the NCI-UMD cohort between 2009-2020 from the greater Baltimore area (NCT00913757; clinicaltrials.gov). We used XGBoost, a machine- learning model, to classify viral features that can discriminate HCC cases from PC group. XGBoost predicted 31 important viral features which distinguish HCC from PC. Of the 31 viral features, 6 viruses were different between AA and EA (FDR < 0.05). To determine the extent to which socio-economic factors contribute to the cancer disparities, we gathered variables from the 1999 census tract as contributors to deprivation. We used Principal Component Analysis (PCA) to determine loadings of these contributor variables; composite of the final variables is derived as NDI. Comparing across groups, we find that average NDI is highest in HR group (x = 0.33), followed by HCC group (x = 0.21), then PC group (x = 0.19). We find that NDI for AA is significantly higher in HCC group (p = 1.3e-09), HR group (p < 2.2e-16), and PC group (p = 5.0e-10) when compared to that of EA. Thus, we demonstrate that both the viral exposure history and NDI of an individual might be useful in prognoses of HCC. This approach could be used to examine the disparities we see in both incidence and mortality of HCC between AA and EA. Citation Format: Theressa Ewa, Whitney Leet, Limin Wang, Marshonna Forgues, Xin Wei Wang. Pan-viral serological characterization in African Americans and European Americans with Hepatocellular Carcinoma [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 A045.

Cancer Epidemiology Biomarkers & PreventionVol. 33(9_Supplement)
Openalex Percentile: Top 76%
Hepatitis B Virus Studies
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