Long-term HPV type-specific risks for ASCUS and LSIL: a 14-year follow-up of a randomized primary HPV screening trial

Impact of cervical screening by human papillomavirus genotype: Population-based estimations

BACKGROUND

Cervical screening programs use testing for human papillomavirus (HPV) genotypes. Different HPV types differ greatly in prevalence and oncogenicity. We estimated the impact of cervical screening and follow-up for each HPV type.

METHODS AND FINDINGS

For each type of HPV, we calculated the number of women needed to screen (NNS) and number of women needing follow-up (NNF) to detect or prevent one cervical cancer case, using the following individual level input data (i) screening and cancer data for all women aged 25 to 80 years, resident in Sweden during 2004 to 2011 (N = 3,568,938); (ii) HPV type-specific prevalences and screening histories among women with cervical cancer in Sweden in 2002 to 2011(N = 4,254); (iii) HPV 16/18/other HPV prevalences in the population-based HPV screening program (N = 656,607); and (iv) exact HPV genotyping in a population-based cohort (n = 12,527). Historical screening attendance was associated with a 72% reduction of cervical cancer incidence caused by HPV16 (71.6%, 95% confidence interval (CI) [69.1%, 73.9%]) and a 54% reduction of cancer caused by HPV18 (53.8%, 95% CI [40.6%, 63.1%]). One case of HPV16-caused cervical cancer could be prevented for every 5,527 women attending screening (number needed to screen, NNS). Prevention of one case of HPV16-caused cervical cancer required follow-up of 147 HPV16-positive women (number needed to follow-up, NNF). The NNS and NNF were up to 40 to 500 times higher for HPV types commonly screened for with lower oncogenic potential (HPV35,39,51,56,59,66,68). For women below 30 years of age, NNS and NNF for HPV16 were 4,747 and 289, respectively, but >220,000 and >16,000 for HPV35,39,51,56,59,66,68. All estimates were either age-standarized or age-stratified. The primary limitation of our study is that NNS is dependent on the HPV prevalence that can differ between populations and over time. However, it can readily be recalculated in other settings and monitored when HPV type-specific prevalence changes. Other limitations include that in some age groups, there was little data and extrapolations had to be made. Finally, there were very few cervical cancer cases associated with certain HPV types in young age group.

CONCLUSIONS

In this study, we observed that the impact of cervical cancer screening varies depending on the HPV type screened for. Estimating and monitoring the impact of screening by HPV type can facilitate the design of effective and efficient HPV-based cervical screening programs.

TRIAL REGISTRATION

ClinicalTrials.gov with numbers NCT00479375, NCT01511328.

T Cell Receptor Repertoires Acquired via Routine Pap Testing May Help Refine Cervical Cancer and Precancer Risk Estimates

Cervical cancer is the fourth most common cancer and fourth leading cause of cancer death among women worldwide. In low Human Development Index settings, it ranks second. Screening and surveillance involve the cytology-based Papanicolaou (Pap) test and testing for high-risk human papillomavirus (hrHPV). The Pap test has low sensitivity to detect precursor lesions, while a single hrHPV test cannot distinguish a persistent infection from one that the immune system will naturally clear. Furthermore, among women who are hrHPV-positive and progress to high-grade cervical lesions, testing cannot identify the ~20% who would progress to cancer if not treated. Thus, reliable detection and treatment of cancers and precancers requires routine screening followed by frequent surveillance among those with past abnormal or positive results. The consequence is overtreatment, with its associated risks and complications, in screened populations and an increased risk of cancer in under-screened populations. Methods to improve cervical cancer risk assessment, particularly assays to predict regression of precursor lesions or clearance of hrHPV infection, would benefit both populations. Here we show that women who have lower risk results on follow-up testing relative to index testing have evidence of enhanced T cell clonal expansion in the index cervical cytology sample compared to women who persist with higher risk results from index to follow-up. We further show that a machine learning classifier based on the index sample T cells predicts this transition to lower risk with 95% accuracy (19/20) by leave-one-out cross-validation. Using T cell receptor deep sequencing and machine learning, we identified a biophysicochemical motif in the complementarity-determining region 3 of T cell receptor β chains whose presence predicts this transition. While these results must still be tested on an independent cohort in a prospective study, they suggest that this approach could improve cervical cancer screening by helping distinguish women likely to spontaneously regress from those at elevated risk of progression to cancer. The advancement of such a strategy could reduce surveillance frequency and overtreatment in screened populations and improve the delivery of screening to under-screened populations.

High prevalence of human papillomavirus type 66 in low-grade cervical lesions of Mexican women

Our aim was to analyze the prevalence of high-risk human papillomavirus (HR-HPV) and its association with risk factors related to cervical lesions. We used 362 cervical samples from a transversal study to detect nineteen types from the high-risk HPV clade by highly sensitive PCR. Unexpectedly, we found a very high prevalence of HPV type 66 (32.8%), particularly in low-grade squamous intraepithelial lesions. A significant association of HPV66 with previously sexually transmitted disease was observed (p < 0.05). Our results strongly suggest that HPV66 might be indicative of cervical lesions that will not progress to cancer. HPV genotyping by methods that grouped type 66 with other HR-HPV clade types should be interpreted with caution.

Analytical performance of HPV assays on vaginal self-collected vs practitioner-collected cervical samples: the SCoPE study

BACKGROUND

In the last decade, human papillomavirus (HPV) testing has been evaluated extensively for cervical screening, with studies finding increased sensitivity compared to cytology. Another advantage of HPV based-screening is the ability to test vaginal samples that can be collected by women themselves. Self-collection has the potential to extend cervical screening coverage by increasing participation rates, particularly among women who are under-screened or have never screened. This could have a significant impact on cervical cancer prevention, as the majority of invasive cervical cancer cases occur among under-screened women. Both the Netherlands and Australia have transitioned their national programs from cytology to HPV as the primary screening test and both countries include a pathway for self-collection.

OBJECTIVES

We evaluated the relative sensitivity for HPV detection of self-collection compared with practitioner-collected cervical specimens in the context of the Australian National Cervical Screening Program (NCSP).

STUDY DESIGN

303 women aged ≥18 years attending a single tertiary referral centre took their own sample using a flocked-swab, and then had a practitioner-collected sample taken at colposcopy. All samples were tested at a single laboratory on the six PCR-based HPV assays which can be utilised in the NCSP; Roche cobas 4800 and cobas, Abbott RealTime, BD Onclarity, Cepheid Xpert, and Seegene Anyplex.

RESULTS

HPV16/18 results had high observed agreement between self- and practitioner-collected samples on all assays (range: 0.94-0.99), with good agreement for non-HPV16/18 oncogenic HPV types (range: 0.64-0.73).

CONCLUSIONS

Self-collection for HPV-based cervical screening shows good concordance and relative sensitivity when compared to practitionercollected samples across assays in the NCSP.

Human papillomavirus types in cervical dysplasia among young HPV-vaccinated women: Population-based nested case-control study

Human papillomavirus (HPV) vaccines protect against infections with the most oncogenic HPV types, cervical intraepithelial neoplasia (CIN) and cervical cancer. We investigated whether development of cervical intraepithelial neoplasia (CIN) lesions in HPV-vaccinated women is associated with vaccine-targeted HPV types or not. Linkage of the Swedish vaccination and cervical screening registries identified all females born 1980-2000 who had been HPV vaccinated before December 31, 2014 (n = 305,320) and had attended cervical screening in 2006-2018 (n = 79,491). We further selected women HPV vaccinated below 17 years of age and screened in the capital region (n = 5,874). Among those, 125 developed CIN and had a cervical cryopreserved sample available (42.5% of all eligible CIN cases). After 1:2 matching to disease-free HPV vaccinated controls (n = 242), samples were analyzed for HPV DNA and associations between HPV type and CIN diagnosis were estimated with conditional logistic regression. Vaccine-targeted HPV types were rare among both CIN cases (2.4% HPV16, 0.8% HPV18) and their matched controls (0.4% HPV16 and 18). No woman had HPV6 or 11. The CIN lesions were associated with the nonvaccine HPV types 31, 33, 42, 45, 51, 52, 56, 59 and 66. CIN lesions among young HPV vaccinated women are mostly attributable to infection with nonvaccine HPV types. The phenomenon may be important for surveillance and design of cervical cancer control strategies.

Alinity m HR HPV Assay Fulfills Criteria for Human Papillomavirus Test Requirements in Cervical Cancer Screening Settings

The Alinity m HR HPV assay (Alinity) is a novel human papillomavirus (HPV) assay that individually identifies genotypes HPV16, HPV18, and HPV45 while reporting on 11 other high-risk HPV (hrHPV) genotypes in two aggregates: HPV31/33/52/58 and HPV35/39/51/56/59/66/68. The clinical performance of Alinity for screening for cervical cancer was evaluated in population-based settings. For women aged ≥30 years, the clinical sensitivity (n = 68) and specificity (n = 3,077) for the detection of cervical intraepithelial neoplasia grade 2+ (CIN2+) of Alinity were 100.0% and 92.4%, respectively, and were not inferior to those of the Qiagen Digene Hybrid Capture 2 high-risk HPV DNA assay (hc2) (P = 0.0006 and P < 0.0001, respectively). The intralaboratory reproducibility and interlaboratory agreement of Alinity were 96.7% (kappa, 0.92) and 98.7% (kappa, 0.97), respectively. In the group ≥30 years of age, women who were baseline hrHPV negative had a lower risk for CIN2+ at 3 years using Alinity (0.04%) than those with a normal baseline cytology (0.65%) and had a risk comparable to that determined by the Abbott RealTime High Risk HPV assay (0.04%), hc2 (0.08%), or the Roche Cobas 4800 HPV assay (0.04%). High-risk HPV16/18 infection was associated with a significantly higher baseline and 3-year CIN2+ and CIN3+ risk than the absence of HPV16/18 or the presence of hrHPVs at the baseline (all P values were <0.05). The baseline CIN2+ risk was 8.8% for those with HPV31/33/52/58 infection and 2.5% for those with HPV35/39/51/56/59/66/68 infection, while the 3-year CIN2+ risk was 17.0% and 4.9%, respectively (relative risk, 3.4 [P = 0.03] and 3.5 [P = 0.003], respectively), suggesting that extended genotyping by Alinity may be valuable in improving patient risk stratification. Alinity fulfills international consensus guideline criteria for primary cervical cancer screening and can be considered clinically validated, demonstrating safety comparable to that of other clinically validated HPV tests.

Atypical Squamous Cells: Cytopathological Findings and Correlation with HPV Genotype and Histopathology

OBJECTIVE

We aimed to assess potential associations between atypical squamous cell (ASC) subgroups: ASC-US (undetermined significance) and ASC-H (cannot exclude high-grade squamous intraepithelial lesion), regarding cytomorphological features, high-risk (HR) human papillomavirus (HPV) testing, and histological outcomes in a sample of Brazilian women.

STUDY DESIGN

Cross-sectional study which evaluated 1,346 liquid-based cytologies between January 2010 and July 2016 with ASC results. ASC-US and ASC-H were analyzed for frequency, diagnostic criteria, and cytological findings and compared with HR-HPV tests and histological outcomes.

RESULTS

Enlarged nucleus was the most frequent ASC-US criterion, but alternative criteria were present in 20% of the total cases. No ASC-US criteria were associated with histological outcomes or HR-HPV positivity. Parakeratosis, corneal pearl, giant cells, and binucleation were strongly associated with ASC-US while hyperkeratosis was associated with high-grade squamous intraepithelial lesions (HSIL) or a superior outcome. HR-HPV was positive in 64.39% of ASC-US and 65.38% of ASC-H. HSIL or superior outcomes also occurred in 13.33% of ASC-US and 64.71% of ASC-H cases.

CONCLUSION

Alternative criteria for ASC-US were relatively frequent. Reactive cellular changes suggestive of atypias were more abundant in ASC-US. Although ASC-H is associated with worse histological outcomes, no differences in HPV positivity were found in comparison to ASC-US.

High-risk human papillomavirus genotype distribution and attribution to cervical cancer and precancerous lesions in a rural Chinese population

Objective

To explore the genotype distribution of high-risk human papillomavirus (HR-HPV) and its attribution to different grades of cervical lesions in rural China, which will contribute to type-specific HPV screening tests and the development of new polyvalent HPV vaccines among the Chinese population.

Methods

One thousand two hundred ninety-two subjects were followed based on the Shanxi Province Cervical Cancer Screening Study I (SPOCCS-I), and screened by HPV DNA testing (hybrid capture® 2 [HC2]), liquid-based cytology (LBC), and if necessary, directed or random colposcopy-guided quadrant biopsies. HPV genotyping with linear inverse probe hybridization (SPF10-PCR-LiPA) was performed in HC2 positive specimens. Attribution of specific HR-HPV type to different grades of cervical lesions was estimated using a fractional contribution approach.

Results

After excluding incomplete data, 1,274 women were included in the final statistical analysis. Fifteen point two percent (194/1,274) of women were HR-HPV positive for any of 13 HR-HPV types (HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 68) and the most common HR-HPV types were HPV16 (19.1%) and HPV52 (16.5%). The genotypes most frequently detected in HR-HPV-positive cervical intraepithelial neoplasia grade 1 (CIN1) were HPV52 (24.1%), HPV31 (20.7%), HPV16 (13.8%), HPV33 (13.8%), HPV39 (10.3%), and HPV56 (10.3%); in HR-HPV-positive cervical intraepithelial neoplasia grade 2 or worse (CIN2+): HPV16 (53.1%), HPV58 (15.6%), HPV33 (12.5%), HPV51 (9.4%), and HPV52 (6.3%). HPV52, 31, 16, 33, 39, and 56 together contributed to 89.7% of HR-HPV-positive CIN1, and HPV16, 33, 58, 51, and 52 together contributed to 87.5% of CIN2+.

Conclusion

In summary, we found substantial differences in prevalence and attribution of CINs between different oncogenic HPV types in a rural Chinese population, especially for HPV16, 31, 33, 52, and 58. These differences may be relevant for both clinical management and the design of preventive strategies.

Distribution and attribution of high-risk human papillomavirus genotypes in cervical precancerous lesions in China

While human papillomavirus vaccine was recently approved by China Food and Drug Administration, mapping of high-risk human papillomavirus distribution and attribution in cervical precancerous lesions in China becomes critical in development of a high-risk human papillomavirus-based cervical cancer screening and prevention strategy. In total, 1016 patients with cervical precancerous lesions diagnosed in the National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences were analyzed retrospectively, including 111 patients with low-grade squamous intraepithelial lesions and 905 patients with high-grade squamous intraepithelial lesions. HPV16, 58, 52, 33, and 31 were the most common high-risk human papillomavirus genotypes in order of decreasing frequency among high-risk human papillomavirus-positive high-grade squamous intraepithelial lesions; this differed from the high-risk human papillomavirus distribution in low-grade squamous intraepithelial lesions (HPV16, 52, 39, 56, and 58). The distribution of high-risk human papillomavirus genotypes in single-type infections for high-grade squamous intraepithelial lesions (HPV16, 58, 33, and 52) was similar to that in multiple-type infections (HPV16, 58, 52, and 33). By contrast, a more diverse distribution spectrum of high-risk human papillomavirus genotypes for low-grade squamous intraepithelial lesions was observed between single-type (HPV16, 52, 39, and 56) and multiple-type infection (HPV52, 68, 58, 59, 39 and 56). A previously published method was adopted to calculate the fractional proportion of individual high-risk human papillomavirus genotypes in multiple infections. For this proportional attribution, HPV16 (48.9%), 58 (10.0%), 33 (5.5%), and 52 (5.5%) were the most frequent among all high-grade squamous intraepithelial lesions, whereas HPV16 (13.2%), 52 (11.6%), 39 (9.5%), and 56 (7.6%) were the most frequent among all low-grade squamous intraepithelial lesions. Differences in high-risk human papillomavirus distribution and proportional attribution in different cervical pathology statuses (high-grade squamous intraepithelial lesions and low-grade squamous intraepithelial lesions) demonstrated the critical role of persistent infection of certain high-risk human papillomavirus such as HPV16, 58, 33, and 52 in carcinogenesis of cervical cancer. Distinctively high prevalence of HPV58, 33 and 52 in Chinese cervical intraepithelial neoplasia population, especially in high-grade squamous intraepithelial lesions, should be taken into consideration in cervical cancer screening strategy and vaccine development.

Stratification of HPV-induced cervical pathology using the virally encoded molecular marker E4 in combination with p16 or MCM

High-risk human papillomavirus (HPV) types cause cervical lesions of varying severity, ranging from transient productive infections to high-grade neoplasia. Disease stratification requires the examination of lesional pathology, and possibly also the detection of biomarkers. P16(INK4a) and MCM are established surrogates of high-risk HPV E6/E7 activity, and can be extensively expressed in high-grade lesions. Here we have combined these two cellular biomarkers with detection of the abundant HPV-encoded E4 protein in order to identify both productive and transforming lesions. This approach has allowed us to distinguish true papillomavirus infections from similar pathologies, and has allowed us to divide the heterogeneous CIN2 category into those that are CIN1-like and express E4, and those that more closely resemble nonproductive CIN3. To achieve this, 530 lesional areas were evaluated according to standard pathology criteria and by using a multiple staining approach that allows us to superimpose biomarker patterns either singly or in combination onto an annotated hematoxylin and eosin (H&E) image. Conventional grading of neoplasia was established by review panel, and compared directly with the composite molecular pathology visualized on the same tissue section. The detection of E4 coincided with the onset of vacuolation, becoming abundant in koilocytes as the MCM marker declined and cells lost their defined nuclear margins as visualized by standard H&E staining. Of the dual marker approaches, p16(INK4a) and E4 appeared most promising, with E4 generally identifying areas of low-grade disease even when p16(INK4a) was present. Extensive p16(INK4a) expression usually coincided with an absence of E4 expression or its focal retention in sporadic cells within the lesion. Our results suggest that a straightforward molecular evaluation of HPV life-cycle deregulation in cervical neoplasia may help improve disease stratification, and that this can be achieved using complementary molecular biomarker pairs such as MCM/E4 or, more promisingly, p16(INK4a)/E4 as an adjunct to conventional pathology.

Prevention of human papillomavirus-associated cancers

The oncogenic, anogenital types of human papillomavirus (HPV) are established as causing about 4.8% of all human cancers worldwide, particularly cervical, anal, vulvar, vaginal, penile, and oropharyngeal cancers. Quantitative knowledge of the HPV type-specific risks for these cancers, as well as for the different cervical cancer precursors (cervical intraepithelial neoplasias, CINs), is useful for estimating the effect of elimination of specific HPV types and clinical benefits of screening for specific HPV types. The present review summarizes both the worldwide presence of specific HPV types in cervical cancer precursors and in invasive cervical cancers, and also the long-term follow-up data from a large randomized clinical trial of HPV-based cervical cancer screening. All 12 HPV types classified as class I (established) carcinogens (HPV types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59) were more common in cervical cancers than among women without cervical lesions. A few rare HPV types also were more common in cervical cancers (eg, HPV26, 67, 68, 69, 73, 82). The follow-up studies found increased long-term risks particularly for HPV types 16, 18, 31, and 33, which had 14-year cumulative incidences for CIN3+above 28%, while HPV35, 45, 52, and 58 had 14-year risks between 14%-18% and HPV39, 51, 56, 59, 66, and 68 had risks<10%. HPV16 contributed to the greatest proportion of CIN2+(first-round population attributable proportion [PAR] 36%), followed by types 31, 52, 45, and 58 (7%-11%). HPV16, 18, 31, 33, 45, 52, and 58 together contributed 73.9% of CIN2+lesions and all high-risk types contributed 86.9%.In summary, the different oncogenic HPV types have substantial differences in their oncogenic potential. These differences are relevant for the design and evaluation of cervical screening tests and programs, as well as for studying the effect of vaccination programs using different HPV vaccines.