Search tips
Search criteria

Results 1-8 (8)

Clipboard (0)
Year of Publication
Document Types
1.  Cervicovaginal HPV Infection Before and After Hysterectomy: Evidence of Different Tissue Tropism for Oncogenic and Non-Oncogenic HPV Types in a Cohort of HIV-positive and HIV-negative Women 
Human papillomavirus (HPV) is detected in nearly all cervical cancers and approximately half of vaginal cancers. However, vaginal cancer is an order of magnitude less common than cervical cancer, not only in the general population but also among women with HIV/AIDS. It is interesting therefore that recent studies found that HPV was common in both normal vaginal and cervical tissue, with higher prevalence of non-oncogenic HPV types in the vagina. In the current investigation, we prospectively examined HPV infection in 86 HIV-positive and 17 HIV-negative women who underwent hysterectomy during follow-up in a longitudinal cohort. Cervicovaginal lavage specimens were obtained semi-annually and tested for HPV DNA by PCR. To address possible selection biases associated with having a hysterectomy, subjects acted as their own comparison group – before versus after hysterectomy. The average HPV prevalence was higher in HIV-positive than HIV-negative women both before (59% versus 12%; P<0.001) and after hysterectomy (56% versus 6%; P<0.001). Multivariate random effects models (within-individual comparisons) demonstrated significantly lower HPV prevalence (odds ratio [OR]=0.71; 95% confidence interval [CI]=0.59-0.85) after hysterectomy. The association of HPV prevalence with hysterectomy was similar among HIV-positive and HIV-negative women. However, hysterectomy had greater effects on oncogenic (OR=0.48; 95%CI=0.35-0.66) than non-oncogenic HPV types (OR=0.89; 95%CI=0.71-1.11; Pinteraction=0.002). Overall, we observed greater reductions in oncogenic than non-oncogenic HPV prevalence following hysterectomy. If correct, these data could suggest that oncogenic HPV have greater tropism for cervical compared with vaginal epithelium, consistent with the lower incidence of vaginal than cervical cancer.
PMCID: PMC3321069  PMID: 22120980
vaginal; HPV; hysterectomy; viral tropism; HIV
2.  Evolution and Taxonomic Classification of Alphapapillomavirus 7 Complete Genomes: HPV18, HPV39, HPV45, HPV59, HPV68 and HPV70 
PLoS ONE  2013;8(8):e72565.
The species Alphapapillomavirus 7 (alpha-7) contains human papillomavirus genotypes that account for 15% of invasive cervical cancers and are disproportionately associated with adenocarcinoma of the cervix. Complete genome analyses enable identification and nomenclature of variant lineages and sublineages.
The URR/E6 region was sequenced to screen for novel variants of HPV18, 39, 45, 59, 68, 70, 85 and 97 from 1147 cervical samples obtained from multiple geographic regions that had previously been shown to contain an alpha-7 HPV isolate. To study viral heterogeneity, the complete 8 kb genome of 128 isolates, including 109 sequenced for this analysis, were annotated and analyzed. Viral evolution was characterized by constructing phylogenic trees using maximum-likelihood and Bayesian algorithms. Global and pairwise alignments were used to calculate total and ORF/region nucleotide differences; lineages and sublineages were assigned using an alphanumeric system. The prototype genome was assigned to the A lineage or A1 sublineage.
The genomic diversity of alpha-7 HPV types ranged from 1.1% to 6.7% nucleotide sequence differences; the extent of genome-genome pairwise intratype heterogeneity was 1.1% for HPV39, 1.3% for HPV59, 1.5% for HPV45, 1.6% for HPV70, 2.1% for HPV18, and 6.7% for HPV68. ME180 (previously a subtype of HPV68) was designated as the representative genome for HPV68 sublineage C1. Each ORF/region differed in sequence diversity, from most variable to least variable: noncoding region 1 (NCR1) / noncoding region 2 (NCR2) > upstream regulatory region (URR) > E6 / E7 > E2 / L2 > E1 / L1.
These data provide estimates of the maximum viral genomic heterogeneity of alpha-7 HPV type variants. The proposed taxonomic system facilitates the comparison of variants across epidemiological and molecular studies. Sequence diversity, geographic distribution and phylogenetic topology of this clinically important group of HPVs suggest an independent evolutionary history for each type.
PMCID: PMC3745470  PMID: 23977318
3.  Risk of Cervical Pre-Cancer and Cancer Among HIV-Infected Women With Normal Cervical Cytology and No Evidence of Oncogenic HPV Infection 
U.S. cervical cancer screening guidelines for HIV-uninfected women 30 years of age and older have recently been revised, increasing the suggested interval between Pap tests from three years to five years among those with normal cervical cytology (the Pap test) who test negative for oncogenic human papillomavirus (HPV). Whether a three-year or five-year screening interval might be used in HIV-infected women who are cytologically normal and oncogenic HPV-negative is unknown.
To determine the risk of cervical pre-cancer or cancer defined cytologically (high-grade squamous intraepithelial lesions or greater [HSIL+]) or histologically (cervical intraepithelial neoplasia 2 or greater [CIN-2+]), as two separate endpoints, in HIV-infected women and HIV-uninfected women who at baseline had a normal Pap test and were negative for oncogenic HPV.
Design, Setting and Participants
Participants included 420 HIV-infected women and 279 HIV-uninfected women with normal cervical cytology at their enrollment in a multi-institutional cohort, between October 1, 2001 and September 30, 2002, with follow-up through April 30, 2011. Clinical sites were in the Bronx, Brooklyn, Chicago, Los Angeles, San Francisco, and Washington, DC. Semi-annual visits included Pap testing and, if indicated, cervical biopsy. Cervicovaginal lavage specimens from enrollment were tested for HPV DNA using PCR. The primary analysis was truncated at five years of follow-up.
Main Outcome Measure
The five-year cumulative incidence of cervical pre-cancer and cancer.
No oncogenic HPV was detected in 369 (88%; 95% CI, 84%-91%) of the HIV-infected women and 255 (91%; 95% CI, 88%-94%) of the HIV-uninfected women with normal cervical cytology at enrollment. Among these oncogenic HPV-negative women two cases of HSIL+ were observed; an HIV-uninfected woman and an HIV-infected woman with a CD4 cell count of 500/μL or greater. Histologic data were obtained from four of the six sites. There were six cases of CIN-2+ in N=145 HIV-uninfected women (cumulative incidence = 5% [95% CI, 1%-8%]) and nine cases in N=219 HIV-infected women (cumulative incidence = 5% [95% CI, 2%-8%]). This included one case of CIN-2+ in N=44 oncogenic HPV-negative HIV-infected women with CD4 cell counts less than 350/μL (cumulative incidence = 2% [95% CI, 0%-7%]), one case in N=47 women with CD4 cell counts of 350 to 499/μL (cumulative incidence = 2% [95% CI, 0%-7%]), and seven cases in N=128 women with CD4 cell counts of 500/μL or greater (cumulative incidence = 6% [95% CI, 2%-10%]). One HIV-infected and one HIV-uninfected woman had CIN-3, but none had cancer.
The five-year cumulative incidence of HSIL+ and CIN-2+ was similar in HIV-infected women and HIV-uninfected women who were cytologically normal and oncogenic HPV-negative at enrollment.
PMCID: PMC3556987  PMID: 22820789
4.  Evolution and Taxonomic Classification of Human Papillomavirus 16 (HPV16)-Related Variant Genomes: HPV31, HPV33, HPV35, HPV52, HPV58 and HPV67 
PLoS ONE  2011;6(5):e20183.
Human papillomavirus 16 (HPV16) species group (alpha-9) of the Alphapapillomavirus genus contains HPV16, HPV31, HPV33, HPV35, HPV52, HPV58 and HPV67. These HPVs account for 75% of invasive cervical cancers worldwide. Viral variants of these HPVs differ in evolutionary history and pathogenicity. Moreover, a comprehensive nomenclature system for HPV variants is lacking, limiting comparisons between studies.
DNA from cervical samples previously characterized for HPV type were obtained from multiple geographic regions to screen for novel variants. The complete 8 kb genomes of 120 variants representing the major and minor lineages of the HPV16-related alpha-9 HPV types were sequenced to capture maximum viral heterogeneity. Viral evolution was characterized by constructing phylogenic trees based on complete genomes using multiple algorithms. Maximal and viral region specific divergence was calculated by global and pairwise alignments. Variant lineages were classified and named using an alphanumeric system; the prototype genome was assigned to the A lineage for all types.
The range of genome-genome sequence heterogeneity varied from 0.6% for HPV35 to 2.2% for HPV52 and included 1.4% for HPV31, 1.1% for HPV33, 1.7% for HPV58 and 1.1% for HPV67. Nucleotide differences of approximately 1.0% - 10.0% and 0.5%–1.0% of the complete genomes were used to define variant lineages and sublineages, respectively. Each gene/region differs in sequence diversity, from most variable to least variable: noncoding region 1 (NCR1) /noncoding region 2 (NCR2) >upstream regulatory region (URR)> E6/E7 > E2/L2 > E1/L1.
These data define maximum viral genomic heterogeneity of HPV16-related alpha-9 HPV variants. The proposed nomenclature system facilitates the comparison of variants across epidemiological studies. Sequence diversity and phylogenies of this clinically important group of HPVs provides the basis for further studies of discrete viral evolution, epidemiology, pathogenesis and preventative/therapeutic interventions.
PMCID: PMC3103539  PMID: 21673791
5.  Marginal and Mixed Effects Models in the Analysis of HPV Natural History Data 
Human papillomavirus (HPV) natural history has several characteristics that, at least from a statistical perspective, are not often encountered elsewhere in infectious disease and cancer research. There are, for example, multiple HPV types, and infection by each HPV type may be considered separate events. While concurrent infections are common, the prevalence, incidence, duration/persistence of each individual HPV can be separately measured. However, repeated measures involving the same subject tend to be correlated. The probability of detecting any given HPV type, for example, is greater among individuals who are currently positive for at least one other HPV type. Serial testing for HPV over time represents a second form of repeated measures. Statistical inferences that fail to take these correlations into account would be invalid. However, methods that do not use all the data would be inefficient. Marginal and mixed effects models can address these issues, but are not frequently utilized in HPV research. The current paper provides an overview of these methods, and then uses HPV data from a cohort of HIV-positive women to illustrate how they may be applied, and compare their results. The findings show the greater efficiency of these models compared with standard logistic regression and Cox models. Because mixed effects models estimate subject-specific associations, they sometimes gave much higher effect estimates than marginal models, which estimate population-averaged associations. Overall, the results demonstrate that marginal and mixed effects models are efficient for studying HPV natural history, but also highlight the importance of understanding how these models differ.
PMCID: PMC2839537  PMID: 20056635
statistical methods; cervical neoplasia; human papillomavirus; HPV; HIV; frailty models; mixed effects models; WLW models; frailty models
6.  Risk Factors for Cervical Precancer and Cancer in HIV-Infected, HPV-Positive Rwandan Women 
PLoS ONE  2010;5(10):e13525.
Although cervical cancer is an AIDS-defining condition, infection with human immunodeficiency virus (HIV) may only modestly increase the risk of cervical cancer. There is a paucity of information regarding factors that influence the natural history of human papillomavirus (HPV) in HIV-infected women. We examined factors associated with cervical intraepithelial neoplasia grade 3 or cancer (CIN3+) in Rwandan women infected with both HIV and HPV (HIV+/HPV+).
In 2005, 710 HIV+ Rwandan women ≥25 years enrolled in an observational cohort study; 476 (67%) tested HPV+. Each woman provided sociodemographic data, CD4 count, a cervical cytology specimen and cervicovaginal lavage (CVL), which was tested for >40 HPV genotypes by MY09/MY11 PCR assay. Logistic regression models calculated odds ratios (OR) and 95% confidence intervals (CI) of associations of potential risk factors for CIN3+ among HIV+/HPV+ women.
Of the 476 HIV+/HPV+ women 42 (8.8%) were diagnosed with CIN3+. Factors associated with CIN3+ included ≥7 (vs. 0-2) pregnancies, malarial infection in the previous six months (vs. never), and ≥7 (vs. 0-2) lifetime sexual partners. Compared to women infected by non-HPV16 carcinogenic HPV genotypes, HPV16 infection was positively associated and non-carcinogenic HPV infection was inversely associated with CIN3+. CD4 count was significantly associated with CIN3+ only in analyses of women with non-HPV16 carcinogenic HPV (OR = 0.62 per 100 cells/mm3, CI = 0.40-0.97).
In this HIV+/HPV+ population, lower CD4 was significantly associated with CIN3+ only in women infected with carcinogenic non-HPV16. We found a trend for higher risk of CIN3+ in HIV+ women reporting recent malarial infection; this association should be investigated in a larger group of HIV+/HPV+ women.
PMCID: PMC2958122  PMID: 20976000
7.  Human Papillomavirus Infection and Cervical Cytology in HIV-Infected and HIV-Uninfected Rwandan Women 
Data on human papillomavirus (HPV) prevalence are essential for developing cost-effective cervical cancer prevention programs.
In 2005, 710 human immunodeficiency virus (HIV)–positive and 226 HIV-negative Rwandan women enrolled in an observational prospective cohort study. Sociodemographic data, CD4+ cell counts, and cervical specimens were obtained. Cervicovaginal lavage specimens were collected from each woman and tested for >40 HPV types by a polymerase chain reaction assay; HPV types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, and 68 were considered primary carcinogenic HPV types.
The prevalence of HPV was higher in HIV-positive women than in HIV-negative women in all age groups. Among HIV-infected women, 69% were positive for ≥1 HPV type, 46% for a carcinogenic HPV type, and 10% for HPV-16. HPV prevalence peaked at 75% in the HIV-positive women aged 25–34 years and then declined with age to 37.5% in those ≥55 years old (Ptrend < .001). A significant trend of higher prevalence of HPV and carcinogenic HPV with lower CD4+ cell counts and increasing cytologic severity was seen among HIV-positive women.
We found a higher prevalence of HPV infection in HIV-positive than in HIV-negative Rwandan women, and the prevalence of HPV and carcinogenic HPV infection decreased with age.
PMCID: PMC2814215  PMID: 19435429
8.  Serological Detection of Human Papillomavirus Type 16 Infection in Human Immunodeficiency Virus (HIV)-Positive and High-Risk HIV-Negative Women 
Clinical and Vaccine Immunology  2006;13(4):511-519.
Serial measurement of antibodies has not been used to provide evidence of active viral replication of human papillomavirus (HPV). Serum specimens from sequential study visits contributed by 642 human immunodeficiency virus (HIV)-positive and 116 HIV-negative participants enrolled in the Women's Interagency HIV Study were used to detect significant rises in HPV type 16 (HPV-16) antibody levels. Factors associated with a significant rise were identified using multivariable logistic regression models with generalized estimating equations. Among HIV-positive women, 8.3% of 1,997 pairs showed antibody rises, compared to 6.1% of 361 pairs among HIV-negative women (P = 0.191). For HIV-positive women, rises were associated with current (odds ratio [OR], 23.4; P < 0.001) or past (OR, 8.9; P < 0.001) HPV-16 infection relative to never being HPV-16 infected and with CD4+ cell counts (OR per 100-cell increase, 0.8; P < 0.001) but not with sexual behavior. For HIV-negative women, rises were associated with past (OR, 10.9; P = 0.033) HPV-16 infection relative to no HPV-16, current cigarette smoking (OR, 5.0; P = 0.029) relative to no smoking history, and having 6 to 10 lifetime sexual partners compared to 0 to 5 partners (OR, 9.9; P = 0.036). Serial measurement of HPV-16 serum antibodies is a useful tool for identifying active HPV-16 viral replication. Rises among HIV-positive women may more often result from reactivation of a latent HPV infection in the context of HIV-induced immunosuppression, while rises among HIV-negative women may more often result from reinfection with HPV.
PMCID: PMC1459636  PMID: 16603621

Results 1-8 (8)