Human papilloma virus correlates of high grade cervical dysplasia in HIV-infected women in Mombasa, Kenya: a cross-sectional analysis

被引:11
作者
Menon, Sonia [1 ]
Luchters, Stanley [1 ,2 ,3 ]
Rossi, Rodolfo [4 ]
Callens, Steven [1 ,5 ]
Kishor, Mandaliya [6 ]
Bogers, Johannes [1 ,7 ]
vanden Broeck, Davy [1 ,7 ]
机构
[1] Univ Ghent, Dept Obstet & Gynaecol, ICRH, De Pintelaan 185, B-9000 Ghent, Belgium
[2] Burnet Inst, Melbourne, Vic, Australia
[3] Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic, Australia
[4] ICRC, Primary Hlth Care Serv, Geneva, Switzerland
[5] Univ Hosp, Dept Internal Med & Infect Dis, Ghent, Belgium
[6] ICRH, POB 91109, Mombasa 80103, Kenya
[7] Univ Antwerp, Fac Med & Hlth Sci, AMBIOR Appl Mol Biol Res Grp, Lab Cell Biol & Histol, Melbourne, Belgium
关键词
Human papilloma virus; Potentially high risk/high-risk HPV genotypes; HPV viral load; Co-infections; Pairings; CIN 2+; Kenya; TYPE-16 VIRAL LOAD; HIGH PREVALENCE; RISK; HPV; CANCER; PERSISTENCE; INTEGRATION; NEOPLASIA; LESIONS;
D O I
10.1186/s12985-018-0961-3
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: Women living with HIV are at increased risk to be co-infected with HPV, persistent high-risk (HR) human papillomavirus (HPV) infection and increased HR HPV viral load, which make them more at risk for cervical cancer. Despite their inherent vulnerability, there is a scarcity of data on potential high risk (pHR) and HR HPV genotypes in HIV-infected women with cervical dysplasia and HPV-type specific viral load in this population in Sub Saharan Africa. The aim of this analysis of HIV-infected women was to explore the virological correlates of high-grade cervical dysplasia (CIN 2+) in HIV-infected women, thereby profiling HPV genotypes. Method: This analysis assesses baseline data obtained from a cohort study of 74 HIV-infected women with abnormal cytology attending a Comprehensive Care Centre for patients with HIV infection in Mombasa, Kenya. Quantitative real-time PCR was used for HPV typing and viral load. Results: CIN 2 was observed in 16% (12/74) of women, CIN 3 in 23% (17/74), and, invasive cervical carcinoma (ICC) in 1% (1/74) of women. In women with CIN 3+, HPV 16 (44%), HPV 56 (33%), HPV 33 and 53 (HPV 53 (28%) were the most prevalent genotypes. HPV 53 was observed as a stand-alone HPV in one woman with ICC. A multivariate logistic regression adjusting for age, CD4 count and HPV co-infections suggested the presence of HPV 31 as a predictor of CIN 2+ (adjusted odds ratio [aOR]: 4.9; p = 0.05; 95% (Confidence Interval) [CI]: 1.03-22.5). Women with CIN2+ had a significantly higher viral log mean of HPV 16, (11.2 copies/10,000 cells; 95% CI: 9.0-13.4) than with CIN 1. Conclusion: The high prevalence of HPV 53 in CIN 3 and as a stand-alone genotype in the patient with invasive cervical cancer warrants that its clinical significance be further revisited among HIV-infected women. HPV 31, along with elevated means of HPV 16 viral load were predictors of CIN 2 +.
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