Abstract
Abstract
Background
Human papillomavirus (HPV) testing is more sensitive than cytology for detecting cervical cancer and its precursors. This study aimed to analyze the prevalence of high-risk HPV genotypes and evaluate the role of HPV genotyping triage for detecting high-grade squamous intraepithelial lesions, adenocarcinoma in situ and cervical cancer (HSIL+) in HPV-positive women with normal cytology.
Methods
A retrospective study was performed in women who had undergone co-screening at the China Medical University-affiliated Shengjing Hospital between 2012 and 2014.
Results
Of the 34,587 women, 2665 HPV-positive women with normal cytology who had received colposcopy were eligible for analysis. In HSIL+ groups of 204 women, the common genotypes were HPV16, HPV52, HPV58, HPV33, HPV31 and HPV18 in order of prevalence. The proportion of histological HSIL+ in women infected with HPV33 or HPV31 was not significantly different compared to women infected with HPV16 (P = 0.30, P = 0.19, respectively). The odds ratios for histological HSIL+ were 3.26 (95% confidence interval [CI]: 2.41–4.40) in women with HPV16/18, 4.21 (95% CI: 2.99–5.93) in those with HPV16/18/31/33, and 5.73 (95% CI: 3.30–9.97) in those with HPV16/18/31/33/52/58. Including HPV31/33 genotyping together with HPV16/18 significantly increased the proportion of HSIL+ detection from 63.2 to 77.5% (P = 0.002) without significantly increasing the colposcopy per HSIL+ detection ratio (7.7 to 8.1, P = 0.66).
Conclusions
HPV genotyping played an important role in managing HPV-positive women with normal cytology. Genotyping for HPV31/33 should be added to the previously recommended HPV16/18 genotyping in triaging HPV-positive women in northeastern China.
Funder
National Key Research and Development Project "Research and Development of Digital Diagnostic and Medical Equipment"
Liaoning Province Key Research and Development Project
Liaoning Province Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Genetics,Oncology
Cited by
10 articles.
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