Author
Listed:
- Bin Zhu
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- Yanzi Xiao
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- Meredith Yeager
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Gary Clifford
(Infections and Cancer Epidemiology Group, International Agency for Research on Cancer)
- Nicolas Wentzensen
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- Michael Cullen
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Joseph F. Boland
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Sara Bass
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Mia K. Steinberg
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Tina Raine-Bennett
(Women’s Health Research Institute, Division of Research, Kaiser Permanente Northern California)
- DongHyuk Lee
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- Robert D. Burk
(Departments of Pediatrics, Microbiology and Immunology, and Obstetrics & Gynecology and Women’s Health, Albert Einstein College of Medicine
Department of Epidemiology and Population Health, Albert Einstein College of Medicine)
- Maisa Pinheiro
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- Lei Song
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Michael Dean
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- Chase W. Nelson
(Sackler Institute for Comparative Genomics, American Museum of Natural History)
- Laurie Burdett
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Kai Yu
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- David Roberson
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health
Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research)
- Thomas Lorey
(Regional Laboratory, Kaiser Permanente Northern California)
- Silvia Franceschi
(CRO Aviano National Cancer Institute IRCCS)
- Philip E. Castle
(Department of Epidemiology and Population Health, Albert Einstein College of Medicine)
- Joan Walker
(University of Oklahoma Health Sciences Center)
- Rosemary Zuna
(University of Oklahoma Health Sciences Center)
- Mark Schiffman
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
- Lisa Mirabello
(Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health)
Abstract
HPV16 causes half of cervical cancers worldwide; for unknown reasons, most infections resolve within two years. Here, we analyze the viral genomes of 5,328 HPV16-positive case-control samples to investigate mutational signatures and the role of human APOBEC3-induced mutations in viral clearance and cervical carcinogenesis. We identify four de novo mutational signatures, one of which matches the COSMIC APOBEC-associated signature 2. The viral genomes of the precancer/cancer cases are less likely to contain within-host somatic HPV16 APOBEC3-induced mutations (Fisher’s exact test, P = 6.2 x 10−14), and have a 30% lower nonsynonymous APOBEC3 mutation burden compared to controls. We replicate the low prevalence of HPV16 APOBEC3-induced mutations in 1,749 additional cases. APOBEC3 mutations also historically contribute to the evolution of HPV16 lineages. We demonstrate that cervical infections with a greater burden of somatic HPV16 APOBEC3-induced mutations are more likely to be benign or subsequently clear, suggesting they may reduce persistence, and thus progression, within the host.
Suggested Citation
Bin Zhu & Yanzi Xiao & Meredith Yeager & Gary Clifford & Nicolas Wentzensen & Michael Cullen & Joseph F. Boland & Sara Bass & Mia K. Steinberg & Tina Raine-Bennett & DongHyuk Lee & Robert D. Burk & Ma, 2020.
"Mutations in the HPV16 genome induced by APOBEC3 are associated with viral clearance,"
Nature Communications, Nature, vol. 11(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14730-1
DOI: 10.1038/s41467-020-14730-1
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