Association of HLA-A, -B, DRB, and DQB Alleles with Persistent HPV-16 Infection in Women from Tamil Nadu, India

Muthumeenakshi Bhaskaran, Sree Varshini Murali, Barathi Rajaram, Sundar Krishnasamy, C. S. Devasena, Atima Pathak, Vidhya M. Ravi, Krishnan Swaminathan, Ashok Ayyappa, Srinivasan Vedhantham,

Viral Immunology · 2019 · 10 citations · 43 references

Concepts

Abstract

Women with persistent human papillomavirus (HPV) infections have a high risk of developing cervical cancer (CaCx). HPV-16 alone accounts for more than 60% of CaCx worldwide. Most of the HPV infections are transient and only a subset of women develop persistent HPV-16 infection. Many studies have shown associations of different human leukocyte antigen (HLA) alleles with HPV-mediated CaCx, but there are only a few studies globally that relate to persistent HPV-16 infection. Furthermore, such studies from India are sparse. Hence, we investigated the association of HLA-A, B, DRB, and DQB alleles with persistent HPV-16 infection and HPV-16-positive CaCx in south India (Tamil Nadu). HPV-16 persistent infection was observed in 7% of normal women. A total of 50 women with HPV-16-positive CaCx, 21 women with HPV-16 persistent infection, and 74 HPV-16-negative normal women were recruited for this study. Low-resolution typing of HLA-A, B, DRB, and DQB alleles was performed. HLA-B*44 and DRB1*07 showed a significant association with persistent HPV-16 infection (odds ratio, p-value = 26.3, 0.03 and 4.7, 0.01, respectively). HLA-B*27 and DRB1*12 were significantly associated with both HPV-16+ CaCx and persistent HPV-16 infection (23.8, 0.03; 52.9, 0.01; 9.8, 0.0009; and 13.8, 0.009; respectively). HLA-B*15 showed a negative association with HPV-16-positive CaCx (0.1, 0.01), whereas DRB1*04 exhibited protection to both HPV-16-positive CaCx and persistent HPV-16 infection (0.3, 0.0001 and 0.1, 0.0002, respectively). Thus, we show HLA allelic association with HPV-16 infection in Tamil Nadu. Larger studies on high-resolution HLA typing coupled with HPV-16 genome diversity will offer further insights into host/pathogen genome coevolution.

References

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