Pan-serological antibodies and liver cancer risk: a nested case-control analysis
- Cody Z Watling 1, Xing Hua 1, Jessica L Petrick 2, Xuehong Zhang 3,4, Whitney L Do 5, Limin Wang 5, Evan Maestri 5, Kai Yu 1, Xin Wei Wang 5,6, Katherine A McGlynn 7,8
- Cody Z Watling 1, Xing Hua 1, Jessica L Petrick 2
- 1Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
- 2Slone Epidemiology Center at Boston University, Boston, MA, USA.
- 3Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- 4Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
- 5Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
- 6Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
- 7Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. mcglynnk@nih.gov.
- 8National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA. mcglynnk@nih.gov.
- 0Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
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View abstract on PubMed
Summary
This summary is machine-generated.Pan-viral serology signatures did not prospectively predict liver cancer risk in this study. Only antibodies to hepatitis C virus (HCV) showed a significant association, particularly for hepatocellular carcinoma.
Area Of Science
- Hepatology and Viral Oncology
- Cancer Epidemiology
- Immunology
Background
- Previous studies suggested pan-viral serology signatures may predict liver cancer.
- Prospective validation of these findings was lacking.
- Hepatocellular carcinoma is the most common type of liver cancer.
Purpose Of The Study
- To investigate if pan-viral serology signatures are predictive of liver cancer development in a prospective cohort.
- To assess the association between antibodies to various infectious agents and liver cancer risk.
- To evaluate the predictive performance of antibody signatures for liver cancer.
Main Methods
- A nested case-control analysis was conducted using the PLCO prospective cohort.
- Serum samples from 191 liver cancer cases and 382 controls were analyzed using VirScan to detect antibodies.
- Multivariable conditional logistic regressions and prediction models were employed to assess associations and predictive utility.
Main Results
- No significant associations were found between antibodies to viruses, bacteria, or allergens and overall liver cancer risk after multiple testing adjustments.
- Hepatitis C virus (HCV) antibodies showed the strongest association with liver cancer risk (OR: 3.98), but with a high False Discovery Rate (FDR) of 0.35.
- Prediction models using 109 antibody features showed limited predictive ability (AUC: 0.52-0.54).
- In analyses restricted to hepatocellular carcinoma, the association with HCV was stronger (OR: 23.16, FDR p-value: 0.0016), but overall prediction remained modest (AUC: 0.55).
Conclusions
- Pan-viral serology signatures, as measured by VirScan, were not found to be prospectively predictive of liver cancer risk in this cohort.
- Hepatitis C virus (HCV) antibodies were prospectively associated with liver cancer, especially hepatocellular carcinoma, though statistical significance was limited by FDR and sample size.
- Further research is needed to explore the utility of antibody exposure signatures for predicting liver cancer development.
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