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Abstract

Infection with high-risk human papillomavirus (HPV) types, specifically HPV type 16 (HPV16), is considered to be the most important risk factor in the development of cervical intraepithelial neoplasia and cancer. The long control region (LCR) is a noncoding region that comprises approximately 10 % of the HPV genome and contains regulatory elements for viral transcription and replication. Sequence variations in LCR may impact on the replication efficiency and oncogenic potential of the virus.

Studies documenting variations in LCR of HPV16 isolates pertaining to cervical neoplastic status in India are limited.

The present study was designed to characterize variations in the LCR of Indian isolates of HPV16 and study their association with cervical disease grades.

The LCR was amplified and sequenced from HPV16 positive cervical samples belonging to different cervical disease grades. Sequences were aligned to identify variations and potential transcription factor binding sites (TFbs) were predicted using the JASPAR database in addition to phylogenetic studies.

Among the 163 HPV16 isolates analysed, 47 different nucleotide variations were detected in the LCR, of which 25 are reported for first time in Indian isolates. Point mutations were detected in 35/54 (64.8 %) samples with normal cervical status, 44/50 (88 %) samples with low-grade cervical disease and 53/59 (89.8 %) samples with high-grade cervical disease. Variations T6586C, G6657A and T6850G were significantly associated with high-grade cervical status. Thirteen LCR variations were detected in the binding sites for CEBPB, ETS1, JUN, MYB, NFIL3, PHOX2A and SOX9 transcription factors.

The present study helped to identify unique variations in the LCRs of HPV16 Indian isolates. The variations in the A4 sub-lineage were significantly associated with high-grade disease status. The isolates belonging to the A4 and D3 sub-lineages harboured mutations in putative TFbs, implying a potential impact on viral replication and progression to cervical cancer.

Funding
This study was supported by the:
  • Department of Science and Technology, Government of India
    • Principle Award Recipient: UrmilaKulkarni-Kale
  • Department of Science and Technology, Government of India
    • Principle Award Recipient: AratiMane
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/content/journal/jmm/10.1099/jmm.0.001475
2022-01-18
2025-04-21
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