Literature DB >> 17342094

High-risk HPV type-specific clearance rates in cervical screening.

N W J Bulkmans1, J Berkhof, S Bulk, M C G Bleeker, F J van Kemenade, L Rozendaal, P J F Snijders, C J L M Meijer.   

Abstract

We assessed clearance rates of 14 high-risk human papillomavirus (hrHPV) types in hrHPV-positive women with normal cytology and borderline/mild dyskaryosis (BMD) in a population-based cervical screening cohort of 44,102 women. The 6-month hrHPV type-specific clearance rates, that is, clearance of the same type as detected at baseline, in women with normal and BMD smears were 43% (95% confidence interval (CI) 39-47) and 29% (95% CI 24-34), respectively. Corresponding 18-month clearance rates were markedly higher, namely 65% (95% CI 60-69) and 41% (95% CI 36-47), respectively. The lowest clearance rates in women with normal cytology were observed for HPV16, HPV18, HPV31, and HPV33. Significantly reduced 18-month clearance rates at a significance level of 1% were observed for HPV16 (49%, 95% CI 41-59) and HPV31 (50%, 95% CI 39-63) in women with normal cytology, and for HPV16 (19%, 95% CI 12-29) in women with BMD. Among women who did not clear hrHPV, women with HPV16 persistence displayed an increased detection rate of >or=CIN3 (normal P<0.0001; BMD, P=0.005). The type-specific differences in clearance rates indicate the potential value of hrHPV genotyping in screening programs. Our data support close surveillance (i.e. referral directly, or within 6 months) of women with HPV16 and are inconclusive for surveillance of women with HPV18, HPV31, and HPV33. For the other hrHPV-positive women, it seems advisable to adopt a conservative management with a long waiting period, as hrHPV clearance is markedly higher after 18 months than after 6 months and the risk for >or=CIN3 is low.

Entities:  

Mesh:

Year:  2007        PMID: 17342094      PMCID: PMC2360183          DOI: 10.1038/sj.bjc.6603653

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Persistent infection with high-risk human papillomavirus (hrHPV) is the primary cause for the development of cervical carcinoma (Walboomers ; Bosch ). Several studies have shown that hrHPV testing can improve identification of women who have or will develop high-grade cervical intraepithelial neoplasia or cervical cancer (⩾CIN2) (Clavel ; Kulasingam ; Cuzick ; Peto ; Kotaniemi-Talonen ; Cuzick ). In the search of an optimal screening algorithm using hrHPV testing, it is essential to determine the time point at which the majority of the screening participants has cleared the virus and can be referred back to regular screening. Also, future screening may involve genotyping as different hrHPV types show markedly different risks of high-grade CIN. Particularly HPV16-positive women are more likely to develop ⩾CIN2 than hrHPV-positive women infected with a non-HPV16 type (Bulkmans ; Castle ; Khan ; Berkhof ). So far, little is known about type-specific clearance rates of hrHPV infections. Some studies reported relatively low clearance of HPV16 infections compared with other high-risk HPV infections, but samples sizes were small and results were not statistically significant (Ho ; Molano ; Richardson ). To obtain information about the course of 14 different hrHPV types, we investigated repeated hrHPV typing results collected from a large population-based screening cohort. We assessed differences among the 14 hrHPV types in clearance and in the occurrence of ⩾CIN3.

MATERIALS AND METHODS

Study population

From January 1999 to September 2002, 44 102 women between 30 and 60 years of age invited for the regular Dutch cervical screening programme participated in the Population-Based Screening Amsterdam (POBASCAM) trial (Bulkmans ). In this prospective randomised controlled trial, the efficacy of hrHPV testing in conjunction with cytology (intervention group) is compared with that of classical cytology alone (control group, hrHPV results blinded) in the setting of population-based cervical screening. The design of the POBASCAM trial and the baseline results have been described previously (Bulkmans ). All women gave informed consent and the study was approved by both the Medical Ethics Committee of the VU University Medical Center (no. 96/103) and the Ministry of Public Health (VWS. no 328650). The study has been registered at the International Trial Register (ISRCTN20781131). We included all hrHPV-positive participants who were advised to return for repeat testing at 6 and 18 months according to the study design, that is, participants with normal cytology from the intervention group (n=763) and participants with borderline or mild dyskaryosis (BMD) from the intervention (n=185) and control (n=196) group. Borderline/mild dyskaryosis is equivalent to ASC-US, ASC-H, LSIL, AGC and AGC favour neoplastic, according to the Bethesda 2001 classification (Bulk ). Women who were positive for hrHPV by generic hrHPV test, but negative after typing, were excluded from the analysis (n=57), leaving 713 hrHPV-positive participants with normal cytology carrying 865 hrHPV infections, and 374 hrHPV-positive participants with BMD carrying 491 hrHPV infections. For all included participants, hrHPV testing and typing were performed both at baseline and at 6 and 18 months of follow-up. Participants with a baseline normal smear were referred for colposcopy at 6 months in case the repeat smear displayed moderate dyskaryosis or worse (>BMD; equivalent to HSIL according to Bethesda 2001; Bulk ). Participants with baseline BMD were referred for colposcopy at 6 months in case the repeat smear result was ⩾BMD in the control group and either >BMD or hrHPV-positive BMD in the intervention group. A flowchart of the screening management of women who were advised to return for repeat testing is presented in Figure 1.
Figure 1

Management of women in the POBASCAM study who were advised to return for repeat testing at 6 and 18 months.

Cytology and hrHPV testing

Conventional cytological smears were prepared with a Cervex brush® and classified according to the Dutch CISOE-A classification, which can be translated to the Bethesda 2001 classification (Bulk ). After taking the smear, the brush was placed in a vial containing collection medium (i.e. 5 ml PBS and 0.5% thiomersal) for hrHPV-DNA testing. Detection of hrHPV-DNA was performed by a generic hrHPV test, that is, GP5+/6+ PCR-enzyme immunoassay (GP5+/6+ PCR EIA), using a cocktail of 14 high-risk types, that is, 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, and 68 (Jacobs ). GP5+/6+ PCR EIA-positive cases were subsequently typed by reverse line blotting (RLB) (van den Brule ). Interpretation of cytology and hrHPV testing by technicians was performed blinded to the other test result.

Statistical analysis

We calculated the clearance rates of 14 hrHPV types with type-specific clearance defined as a negative RLB test result for that HPV type in the follow-up smear. Women treated for ⩾CIN2 were considered not to have cleared the virus during the study period of 18 months. Participants were censored if lost to follow-up, or if a biopsy was taken with CIN0/1 as histological outcome. Time was set equal to the target repeat date (i.e. 6 or 18 months). The 18-month clearance rates were estimated by Kaplan–Meier method. The clearance rates were accompanied by 95% confidence intervals (95% CI) (Klein and Moeschberger, 1997). Data were stratified in three age categories corresponding to the age at the first round, second round, and at rounds 3–7 in nationwide screening (i.e. 29–33, 34–38, and 39–60 years). Differences in 6-month clearance rates were assessed by Cochran's Mantel–Haenszel test and differences in 18-month clearance rates were assessed by stratified log-rank testing (Heimann and Neuhaus, 1998). The level of statistical significance was set at 0.01. The main analyses did not distinguish whether the hrHPV infection was observed in a women with single or multiple hrHPV types. Analyses were repeated for women with single hrHPV infections only. To examine an effect of coexisting hrHPV infections on clearance, type-specific clearance rates in single and multiple infections were compared by stratified log-rank testing. For clinical practice it might be more feasible to define clearance as a negative hrHPV follow-up test result for any hrHPV type. Therefore, analyses were repeated with clearance defined as a negative generic hrHPV test result. To assess the hrHPV type-specific risk for ⩾CIN3 in women who did not clear the hrHPV infection (ie. viral persistence), participants were selected that revealed RLB positivity during follow-up for at least one hrHPV type detected at baseline. The association between persistent hrHPV type and ⩾CIN3 was assessed by Cochran's Mantel–Haenszel test stratified for age. To examine the effect of coexisting hrHPV infections, ⩾CIN3 rates in women with single and multiple hrHPV infections were compared by Cochran's Mantel–Haenszel testing, stratified for age, cytology, and HPV-type. All analyses were performed using SPSS12.0.

RESULTS

Study subjects

The mean ages of hrHPV-positive women with normal cytology and BMD at baseline were 38.3 years (range 29–60 years) and 36.2 years (range 29–59 years), respectively. Of women with normal cytology, 23.1% (165/713) did not respond to the follow-up invitation at 6 months and 28.0% (146/522) did not respond to the second follow-up invitation at 18 months. For women with BMD, the nonresponse rates to follow-up invitations at 6 and 18 months were 9.9% (37/374) and 28.8% (53/184), respectively. Loss to follow-up was not hrHPV type specific (P>0.05 for each type). Multiple hrHPV infections were less prevalent in women with normal cytology than in women with BMD (18.0 vs 24.6%, P=0.011).

Type-specific clearance rates for hrHPV infections in normal cytology

The 6- and 18-month clearance rates of the different hrHPV types in women with normal cytology at baseline are presented in Table 1. The overall type-specific hrHPV clearance rates at 6 and 18 months were 43% (95% CI 39–47) and 65% (95% CI 60–69).
Table 1

hrHPV-type specific 6- and 18-month clearance rates for hrHPV infections in normal smears

HPV16 infections displayed a significantly lower 18-month clearance rate (49%, 95% CI 41–59) than other hrHPV infections (69%, 95% CI 65–74; P=0.002). The second, third, and fourth lowest 18-month clearance rates were observed for HPV31, HPV33, and HPV18 infections, respectively, but the clearance rate was significantly reduced only for HPV31 (P=0.008). When comparing single and multiple infections at baseline, none of the hrHPV types showed marked differences in clearance rates (data not shown). Notably, 18-month clearance for HPV16 was 48% (95% CI 38–58) in women with a single infection and 56% (95% CI 39–75) in women with a multiple infection (P=0.310). When defining clearance as a negative generic hrHPV test result instead of a negative RLB result for a specific hrHPV type, overall hrHPV clearance rates at 6 and 18 months were slightly lower, that is, 36% (95% CI 31–41) and 56% (95% CI 52–60), respectively. The lowest clearance rates were again found for HPV16, HPV18, HPV31, and HPV33 infections.

Type-specific clearance rates for hrHPV infections in BMD

For hrHPV infections in women with a BMD smear at baseline, 6 and 18-month type-specific clearance rates were 29% (95% CI 24–34) and 41% (95% CI 36–47) (Table 2).
Table 2

hrHPV-type specific 6- and 18-month clearance rates for hrHPV infections in BMD smears

As was the case for women with normal cytology, HPV16 infections in women with BMD showed a significantly reduced 18-month clearance rate (19%, 95% CI 12–29) compared with other hrHPV infections (49%, 95% CI 43–56; P<0.0001). For HPV31 and HPV33 infections in BMD, clearance rates were also low, but rates were not significantly lower than for other hrHPV infections. Similar clearance rates were observed when the analysis was repeated for women with single infections only. None of the hrHPV types showed marked differences in clearance rates when comparing single infections at baseline to multiple infections at baseline (data not shown). When clearance was defined as a negative generic hrHPV test instead of a negative RLB test for a specific hrHPV type, hrHPV clearance rates at 6 and 18 months were 25% (95% CI 19–31) and 32% (95% CI 26–38), respectively. The three types with the lowest 18-month clearance rates were again HPV16, HPV31, and HPV33.

High-grade lesions in women with persistent hrHPV infections

The 18-month hrHPV type-specific detection rate of ⩾CIN3 in women who showed persistence for at least one hrHPV type was 12% (95% CI 9–17) when baseline cytology was read as normal and 26% (95% CI 19–33) in case of BMD (Table 3). Women with a persistent HPV16 infection had significantly increased 18-month ⩾CIN3 detection rates (25% for baseline normal cytology (95% CI 17–36; P<0.0001) and 38% for BMD (95% CI 27–51; P=0.005), respectively). Similar results were obtained when repeating the analysis only for women with a single infection at baseline. After exclusion of women with HPV16, marginal increases in ⩾CIN3 detection rates (P<0.1) were found in women with HPV18 and HPV31 persistence. It should be noted, however, that subgroups were small.
Table 3

HPV type-specific detection rate of ⩾CIN3 lesions in women with normal cytology and with BMD who did not clear the respective HPV type

  Normal cytology
BMD
  Persistent ⩾CIN3 Persistent ⩾CIN3
hrHPV type at baseline N % (95% CI) P-value P excl. 16 N % (95% CI) P-value P excl. 16
All hrHPV infections
 Any21712 (9–17)  14826 (19–33)  
 167625 (17–36) <0.0001  6038 (27–51) 0.005  
 182119 (8–40)0.512 0.061 1323 (8–50)0.8200.438
 314013 (5–260.956 0.169 1631 (14–56)0.5500.072
 331421 (8–48)0.335 0.147 119 (2–38)0.2050.627
 3550 (0–52)1.000 1.000 714 (3–51)0.4990.969
 3950 (0–52)1.000 1.000 729 (8–640.8720.396
 45180 (0–19)0.138 0.596 1118 (5–48)0.5730.539
 5160 (0–46)1.000 1.000 1421 (8–48)0.7500.585
 52147 (1–31)0.541 1.000 813 (2–47)0.3750.860
 56130 (0–25)0.378 1.000 1010 (2–40)0.2550.544
 58120 (0–26)0.370 1.000 128 (1–35)0.1850.199
 5930 (0–71)1.000 1.000 1100 (3–100)1.0001.000
 66110 (0–28)0.367 1.000 425 (5–70)0.9990.678
 6820 (0–84)1.000 1.000 30 (0–71)1.0001.000
         
Single hrHPV infections
 Any17313 (9–19)  10730 (22–39)  
 165927 (17–40)<0.0001 4844 (31–58)0.009 
 181414 (4–40)0.9240.195540 (12–77)0.6600.235
 312811 (4–27)0.6030.285944 (19–73)0.1980.039
 331020 (6–51)0.5190.911617 (3–56)0.4530.904
 3530 (0–71)1.0001.000425 (5–70)1.000.707
 3940 (0–60)1.0001.000333 (6–79)0.9100.476
 45160 (0–21)0.1340.591520 (4–62)0.6960.914
 5140 (0–60)1.0001.00070 (0–41)0.1000.328
 5260 (0–46)1.0001.000520 (4–62)0.5490.929
 5680 (0–37)0.5991.00040 (0–60)0.3151.000
 58110 (0–28)0.3631.00090 (0–34)0.0550.186
 5920 (0–84)1.0001.0000
 6680 (0–37)0.5991.0000
 68020 (0–84)1.0001.000

Persistent=not cleared in follow-up for the at least one specific hrHPV type.

All hrHPV infections=single and multiple hrHPV infections combined.

Any=positive for any of the 14 hrHPV types.

p excl. 16=P-value by Cochran's Mantel–Haenszel test stratified for age, after excluding women persistent for HPV16.

Significant P-values are indicated in bold and marginal effects are in italics.

BMD, borderline/mild dyskaryosis; CI, confidence interval; ⩾CIN3, cervical intraepithelial neoplasia grade 3 or worse; hrHPV, high-risk human papillomavirus.

Interestingly, for normal cytology and BMD combined, the ⩾CIN3 detection rate in women with persistence of at least one hrHPV type was higher in women with a single hrHPV infection (20%, 95% CI 15–25) than in women with multiple hrHPV infections (12%, 95% CI 7–20; P=0.015). This difference was most pronounced in women with HPV16 at baseline, as the ⩾CIN3 rate was 35% (95% CI 26–44) when carrying a single infection at baseline and 14% (95% CI 6–32) when carrying multiple infections at baseline (P=0.022).

DISCUSSION

In our population-based screening cohort, we studied the type-specific clearance in women with an hrHPV infection. Overall 18-month clearance rates in women with normal cytology at baseline were about 1.5 times higher than those in women with BMD (65 vs 41%). Besides, about one-third of the women who cleared the virus within 18 months showed clearance between 6 and 18 months. The lowest clearance rates were observed for HPV16, HPV18, HPV31, and HPV33. Only HPV16 and HPV31 were statistically distinct from the other hrHPV types in women with normal cytology, and only HPV16 and HPV33 were statistically distinct in women with BMD. The relatively low clearance rate of HPV16 could also have been deduced from earlier studies (Ho ; Molano ; Richardson ). However, in these studies, sample sizes were generally smaller, and either results did not reach statistical significance or many HPV types were grouped together. Furthermore, we found that among women who did not clear the HPV infection, HPV16-positive women displayed ⩾CIN3 lesions more often than women who had a persistent infection with another hrHPV type. Finally, we found that the ⩾CIN3 detection rate in women with viral persistence was higher in women with a single hrHPV infection than in women with multiple hrHPV infections at baseline. This finding is in accordance with data of other studies, which showed that multiple hrHPV infections decrease in prevalence when comparing hrHPV-positive normal cervices to increasing grades of cervical premalignant disease (Lungu ; Sasagawa ; An ). Previously described data showed that besides HPV16, HPV18, HPV31, and HPV33 also conferred an increased risk of ⩾CIN3 (Castle ; Khan ; Berkhof ). This likely reflects the combined effects of differences in persistence and oncogenic potential of these types compared with other types and finds support by our data. Whereas HPV16 displayed markedly decreased clearance rates and increased ⩾CIN3 rates in case of persistence in both women with normal cytology and BMD, HPV18, HPV31, and HPV33 showed some, but less pronounced, effect on one or both of these parameters. The effect was either limited to women with normal cytology or to women with BMD, or, in case of ⩾CIN3 rate, only evident after excluding the women having HPV16 infections. The relatively small size of the subgroups of women with type-specific persistence of non-HPV16 types is a likely reason that effects of these types on ⩾CIN3 rate were only marginal. Distinguishing hrHPV types with a decreased clearance rate may have implications for future screening algorithms. When considering implementation of hrHPV genotyping in cervical screening, it is important to evaluate the time point at which genotyping is performed. Genotyping may well be cost-effective when it is limited to baseline samples, and generic hrHPV testing is applied during follow-up. We also calculated clearance rates when clearance was defined as a negative generic hrHPV test instead of a negative RLB result, and it appeared that clearance rates were only 5–10% lower when assessed by a generic hrHPV test. Besides, reduced clearance rates were found for the same hrHPV types as found by a negative RLB result, that is, HPV16, HPV18, HPV31, and HPV33. Therefore, we feel that information about type-specific clearance in cervical screening can be provided with sufficient accuracy by generic hrHPV testing during follow-up. For screening algorithms, it is also important to determine the optimal testing moment during follow-up. As about one-third of women with cleared infections revealed clearance between 6 and 18 months, a conservative management with a longer waiting period may be considered, particularly for women with normal cytology, as this is likely to result in less medical procedures. However, the follow-up time point should not only be targeted on the hrHPV clearance time but also on the risk of ⩾CIN3 for the different HPV types (Berkhof ). Notably, women with either BMD or an HPV16-positive normal smear have a clearly increased risk of ⩾CIN3, and should be recalled early or perhaps even referred for colposcopy at baseline. Owing to the small size of the subgroups, our data are inconclusive concerning the surveillance of women with normal cytology and an HPV18, HPV31, or HPV33 infection. For hrHPV-positive women with normal cytology and without HPV16, HPV18, HPV31, and HPV33, a conservative management with repeat testing at a later time point seems feasible. Currently, our data are incorporated in cost-effectiveness studies to assess the optimal algorithm for the follow-up of hrHPV-positive women with normal cytology or BMD.
  23 in total

1.  The Dutch CISOE-A framework for cytology reporting increases efficacy of screening upon standardisation since 1996.

Authors:  S Bulk; F J Van Kemenade; L Rozendaal; C J L M Meijer
Journal:  J Clin Pathol       Date:  2004-04       Impact factor: 3.411

2.  POBASCAM, a population-based randomized controlled trial for implementation of high-risk HPV testing in cervical screening: design, methods and baseline data of 44,102 women.

Authors:  Nicole W J Bulkmans; Lawrence Rozendaal; Peter J F Snijders; Feja J Voorhorst; A Joan P Boeke; Gladys R J Zandwijken; Folkert J van Kemenade; René H M Verheijen; Krijn v Groningen; Mathilde E Boon; Hans J F Keuning; Marjolein van Ballegooijen; Adriaan J C van den Brule; Chris J L M Meijer
Journal:  Int J Cancer       Date:  2004-05-20       Impact factor: 7.396

Review 3.  The causal relation between human papillomavirus and cervical cancer.

Authors:  F X Bosch; A Lorincz; N Muñoz; C J L M Meijer; K V Shah
Journal:  J Clin Pathol       Date:  2002-04       Impact factor: 3.411

4.  High-risk and multiple human papillomavirus infections associated with cervical abnormalities in Japanese women.

Authors:  T Sasagawa; W Basha; H Yamazaki; M Inoue
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2001-01       Impact factor: 4.254

5.  Determinants of clearance of human papillomavirus infections in Colombian women with normal cytology: a population-based, 5-year follow-up study.

Authors:  Monica Molano; Adriaan Van den Brule; Martyn Plummer; Elisabete Weiderpass; Hector Posso; Annie Arslan; Chris J L M Meijer; Nubia Muñoz; Silvia Franceschi
Journal:  Am J Epidemiol       Date:  2003-09-01       Impact factor: 4.897

6.  Management of women who test positive for high-risk types of human papillomavirus: the HART study.

Authors:  J Cuzick; A Szarewski; H Cubie; G Hulman; H Kitchener; D Luesley; E McGoogan; U Menon; G Terry; R Edwards; C Brooks; M Desai; C Gie; L Ho; I Jacobs; C Pickles; P Sasieni
Journal:  Lancet       Date:  2003-12-06       Impact factor: 79.321

7.  The natural history of type-specific human papillomavirus infections in female university students.

Authors:  Harriet Richardson; Gail Kelsall; Pierre Tellier; Hélène Voyer; Michal Abrahamowicz; Alex Ferenczy; François Coutlée; Eduardo L Franco
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-06       Impact factor: 4.254

8.  Evaluation of human papillomavirus testing in primary screening for cervical abnormalities: comparison of sensitivity, specificity, and frequency of referral.

Authors:  Shalini L Kulasingam; James P Hughes; Nancy B Kiviat; Constance Mao; Noel S Weiss; Jane M Kuypers; Laura A Koutsky
Journal:  JAMA       Date:  2002-10-09       Impact factor: 56.272

9.  Correlation of cervical carcinoma and precancerous lesions with human papillomavirus (HPV) genotypes detected with the HPV DNA chip microarray method.

Authors:  Hee Jung An; Nam Hoon Cho; Sun Young Lee; In Ho Kim; Chan Lee; Seung Jo Kim; Mi Sook Mun; Se Hyun Kim; Jeongmi Kim Jeong
Journal:  Cancer       Date:  2003-04-01       Impact factor: 6.860

10.  Human papillomavirus testing in primary screening for the detection of high-grade cervical lesions: a study of 7932 women.

Authors:  C Clavel; M Masure; J P Bory; I Putaud; C Mangeonjean; M Lorenzato; P Nazeyrollas; R Gabriel; C Quereux; P Birembaut
Journal:  Br J Cancer       Date:  2001-06-15       Impact factor: 7.640

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1.  Differential in vitro immortalization capacity of eleven (probable) [corrected] high-risk human papillomavirus types.

Authors:  Denise M Schütze; Peter J F Snijders; Leontien Bosch; Duco Kramer; Chris J L M Meijer; Renske D M Steenbergen
Journal:  J Virol       Date:  2013-11-20       Impact factor: 5.103

2.  Physical state and viral load as predictive biomarkersfor persistence and progression of HPV16-positive cervical lesions: results from a population based long-term prospective cohort study.

Authors:  Anna Manawapat; Frank Stubenrauch; Rainer Russ; Christian Munk; Susanne Kruger Kjaer; Thomas Iftner
Journal:  Am J Cancer Res       Date:  2012-02-15       Impact factor: 6.166

3.  A pilot analytic study of a research-level, lower-cost human papillomavirus 16, 18, and 45 test.

Authors:  Hannah P Yang; David K Walmer; Delson Merisier; Julia C Gage; Laura Bell; Sameera Rangwala; Niwashin Shrestha; Lori Kobayashi; Paul S Eder; Philip E Castle
Journal:  J Virol Methods       Date:  2011-05-27       Impact factor: 2.014

4.  Human Papillomavirus Genotypes Predict Progression of Anal Low-Grade Squamous Intraepithelial Lesions.

Authors:  Yuxin Liu; Keith Sigel; Michael M Gaisa
Journal:  J Infect Dis       Date:  2018-10-20       Impact factor: 5.226

5.  Performance of a polymer-based DNA chip platform in detection and genotyping of human papillomavirus in clinical samples.

Authors:  T Schenk; T Brandstetter; A Zur Hausen; J Alt-Mörbe; D Huzly; J Rühe
Journal:  J Clin Microbiol       Date:  2009-03-11       Impact factor: 5.948

Review 6.  Patterns of persistent genital human papillomavirus infection among women worldwide: a literature review and meta-analysis.

Authors:  Anne F Rositch; Jill Koshiol; Michael G Hudgens; Hilda Razzaghi; Danielle M Backes; Jeanne M Pimenta; Eduardo L Franco; Charles Poole; Jennifer S Smith
Journal:  Int J Cancer       Date:  2012-10-11       Impact factor: 7.396

7.  Evaluation of candidate methylation markers to detect cervical neoplasia.

Authors:  Narayan Shivapurkar; Mark E Sherman; Victor Stastny; Chinyere Echebiri; Janet S Rader; Ritu Nayar; Thomas A Bonfiglio; Adi F Gazdar; Sophia S Wang
Journal:  Gynecol Oncol       Date:  2007-09-25       Impact factor: 5.482

8.  Methylation of human papillomavirus Type 16 CpG sites at E2-binding site 1 (E2BS1), E2BS2, and the Sp1-binding site in cervical cancer samples as determined by high-resolution melting analysis-PCR.

Authors:  Elise Jacquin; Alice Baraquin; Rajeev Ramanah; Xavier Carcopino; Adrien Morel; Séverine Valmary-Degano; Ignacio G Bravo; Silvia de Sanjosé; Didier Riethmuller; Christiane Mougin; Jean-Luc Prétet
Journal:  J Clin Microbiol       Date:  2013-07-17       Impact factor: 5.948

9.  Human papillomavirus 16-specific T cell responses in classic HPV-related vulvar intra-epithelial neoplasia. Determination of strongly immunogenic regions from E6 and E7 proteins.

Authors:  I Bourgault Villada; M Moyal Barracco; S Berville; M L Bafounta; C Longvert; V Prémel; P Villefroy; E Jullian; T Clerici; B Paniel; B Maillère; J Choppin; J G Guillet
Journal:  Clin Exp Immunol       Date:  2009-07-30       Impact factor: 4.330

Review 10.  Human papillomavirus mRNA and p16 detection as biomarkers for the improved diagnosis of cervical neoplasia.

Authors:  Kate Cuschieri; Nicolas Wentzensen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-10       Impact factor: 4.254

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