Chongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
BMC Infect Dis. 2024 Aug 9;24(1):804. doi: 10.1186/s12879-024-09693-3.
It is important to assess the relationship between specific HPV genotype or multiple infection and cervical cytology. The protection provided by the HPV vaccine is type-specific, and the epidemiology feature of coinfections needs to be investigated. The aim is to provide baseline information for developing HPV vaccination and management of HPV-positive populations in the region.
A total of 3649 HPV-positive women were collected from 25,572 women who underwent 15 HR-HPV genotypes and ThinPrep cytologic test (TCT) results. Logistic regression was used to determine the correlation between the risk of cytology abnormalities and specific HPV infection. We calculated odds ratios (ORs) to assess coinfection patterns for the common two-type HPV infections. chi-squared test was used to estimate the relationship between single or multiple HPV (divided into species groups) infection and cytology results.
The results showed there was a positive correlation between HPV16 (OR = 4.742; 95% CI 3.063-7.342) and HPV33 (OR = 4.361; 95% CI 2.307-8.243) infection and HSIL positive. There was a positive correlation between HPV66 (OR = 2.445; 95% CI 1.579-3.787), HPV51 (OR = 1.651; 95% CI 1.086-2.510) and HPV58(OR = 1.661; 95% CI 1.166-2.366) infection and LSIL. Multiple HPV infections with α9 species (OR = 1.995; 95% CI 1.101-3.616) were associated with a higher risk of high-grade intraepithelial lesions (HSIL) compared with single HPV infection. There were positive correlations between HPV66 and HPV56 (α6) (OR = 3.321; 95% CI 2.329-4.735) and HPV39 and HPV68 (α7). (OR = 1.677; 95% CI 1.127-2.495). There were negative correlations between HPV52, 58, 16 and the other HPV gene subtypes.
HPV33 may be equally managed with HPV16. The management of multiple infections with α9 may be strengthened. The 9-valent vaccine may provide better protection for the population in Chongqing currently. The development of future vaccines against HPV51 and HPV66 may be considered in this region.
评估特定 HPV 基因型或多重感染与宫颈细胞学之间的关系非常重要。HPV 疫苗提供的保护是针对特定类型的,需要研究合并感染的流行病学特征。目的是为该地区 HPV 疫苗接种和 HPV 阳性人群的管理提供基线信息。
从接受过 15 种高危型 HPV 基因型和 ThinPrep 细胞学检测(TCT)的 25572 名女性中收集了 3649 名 HPV 阳性女性。使用逻辑回归确定特定 HPV 感染与细胞学异常风险之间的相关性。我们计算了比值比(OR)来评估常见两型 HPV 感染的合并感染模式。卡方检验用于评估单一或多种 HPV(分为种系组)感染与细胞学结果之间的关系。
结果表明,HPV16(OR=4.742;95%CI 3.063-7.342)和 HPV33(OR=4.361;95%CI 2.307-8.243)感染与 HSIL 阳性呈正相关。HPV66(OR=2.445;95%CI 1.579-3.787)、HPV51(OR=1.651;95%CI 1.086-2.510)和 HPV58(OR=1.661;95%CI 1.166-2.366)感染与 LSIL 呈正相关。与单一 HPV 感染相比,α9 种系的多重 HPV 感染(OR=1.995;95%CI 1.101-3.616)与高级别上皮内病变(HSIL)的风险增加相关。HPV66 与 HPV56(α6)(OR=3.321;95%CI 2.329-4.735)和 HPV39 与 HPV68(OR=1.677;95%CI 1.127-2.495)之间存在正相关。HPV52、58、16 与其他 HPV 基因亚型之间存在负相关。
HPV33 可能与 HPV16 同等管理。可能需要加强对α9 多重感染的管理。九价疫苗可能为目前重庆人群提供更好的保护。在该地区可能需要考虑针对 HPV51 和 HPV66 的未来疫苗开发。