Willem J.G. Melchers

Improving Efficiency in Dutch Cervical Screening by Genotyping: An Analysis of Real World Program Data

ABSTRACT High‐risk human papillomavirus (hrHPV)‐genotype specific risk stratification may improve cervical screening efficiency. This study evaluates the risks of cervical intraepithelial neoplasia (CIN), cancer and unnecessary referrals by hrHPV‐genotype in cytology‐positive (ASCUS+) women, using data from the Dutch population‐based cervical screening program. Data from hrHPV+/ASCUS+ women screened between January 2017 and March 2018 were analyzed using the Dutch Screening and Pathology databases. Risks for CIN2+/3+, cancer, and unnecessary referral (i.e., without CIN2+) were evaluated by hrHPV‐genotype (HPV16, HPV18, hrHPV‐other (i.e., non‐16/18 hrHPV), or mixed HPV16/18) using logistic regression, adjusted for age, laboratory (as proxy for region), sampling method (self‐ vs. clinician sampling), and stratified by age (< 50/≥ 50 years). HPV16+ women had 3.7 (CI: 3.42–3.95) and 4.6 (CI: 4.24–4.99) times higher risks of CIN2+ and CIN3+, respectively, compared to hrHPV‐other. HPV18+ women had 1.6 (CI: 1.43–1.79) and 1.9 (CI: 1.68–2.18) times higher risks. The cervical cancer risk was tenfold higher for both HPV16 (OR: 9.85, CI: 6.50–14.95) and HPV18 (OR: 10.27, CI: 6.33–16.68). Women with HPV16 had 70% and HPV18 40% lower risks of unnecessary referral, compared to hrHPV‐other. All risk differences between HPV16 or HPV18 and hrHPV‐other were statistically significant in both age groups (< 50 and ≥ 50 years). Given the significantly higher risk of CIN2+/3+ and cancer associated with HPV16 and HPV18 and the reduced likelihood of unnecessary referrals compared to hrHPV other, these findings support the use of genotype‐based colposcopy referrals in cervical screening to enhance screening efficiency.

HPV integration and cervical cancer: a failed evolutionary viral trait

Countless efforts have been made to eradicate cervical cancer worldwide, including improving disease screening and human papillomavirus (HPV) vaccination programs. Nevertheless, cervical cancer still claims the lives of more than 300 000 women every year. Persistent infections with high-risk HPV genotypes 16 and 18 are the main cause of cancer and may result in HPV integration into the host genome. The central dogma is that HPV integration is an important step in oncogenesis, but in fact, it impedes the virus from replicating and spreading. HPV causing cervical cancer can therefore be perceived as a failed evolutionary viral trait. Here we outline the occurrence and mechanisms of HPV integration and how this process results in oncogenic transformation.

RNA-based high-risk HPV genotyping and identification of high-risk HPV transcriptional activity in cervical tissues

Nearly all cervical cancers are initiated by a persistent infection with one of the high-risk human papillomaviruses (high-risk HPV). High-risk HPV DNA testing is highly sensitive but cannot distinguish between active, productive infections and dormant infections or merely deposited virus. A solution for this shortcoming may be the detection of transcriptional activity of viral oncogenes instead of mere presence of high-risk HPVs. In this study, fresh-frozen cervical tissues (n = 22) were subjected to high-risk HPV DNA detection using the line probe assay and to targeted RNA next-generation sequencing using single-molecule molecular inversion probes. Targeted RNA sequencing was applied for (1) RNA-based genotyping of high-risk HPV, giving information on specific HPV-subtype (2) discrimination of E2, E6, and E7 transcripts and (3) discovery of possible non-HPV cancer biomarkers. Data were analyzed using computational biology. Targeted RNA sequencing enabled reliable genotyping of high-risk HPV subtypes and allowed quantitative detection of E2, E6, and E7 viral gene expression, thereby discriminating cervical lesions from normal cervical tissues. Moreover, targeted RNA sequencing identified possible cervical cancer biomarkers other than high-risk HPV. Interestingly, targeted RNA sequencing also provided high-quality transcription profiles from cervical scrape samples, even after 1 week of dry storage or storage in Preservcyt fixative. This proof of concept study shows that targeted RNA sequencing can be used for high-risk HPV genotyping and simultaneous detection of high-risk HPV gene activity. Future studies are warranted to investigate the potential of targeted RNA sequencing for risk assessment for the development of cervical lesions, based on molecular analysis of cervical scrapes.

Cervical intraepithelial neoplasia and the risk of spontaneous preterm birth: A Dutch population-based cohort study with 45,259 pregnancy outcomes

BackgroundExcisional procedures of cervical intraepithelial neoplasia (CIN) may increase the risk of preterm birth. It is unknown whether this increased risk is due to the excision procedure itself, to the underlying CIN, or to secondary risk factors that are associated with both preterm birth and CIN. The aim of this study is to assess the risk of spontaneous preterm birth in women with treated and untreated CIN and examine possible associations by making a distinction between the excised volume of cervical tissue and having cervical disease.Methods and findingsThis Dutch population-based observational cohort study identified women aged 29 to 41 years with CIN between 2005 and 2015 from the Dutch pathology registry (PALGA) and frequency matched them with a control group without any cervical abnormality based on age at and year of pathology outcome (i.e., CIN or normal cytology) and urbanization (<100,000 inhabitants or ≥100,000 inhabitants). All their 45,259 subsequent singleton pregnancies with a gestational age ≥16 weeks between 2010 and 2017 were identified from the Dutch perinatal database (Perined). Nineteen potential confounders for preterm birth were identified. Adjusted odds ratios (ORs) were calculated for preterm birth comparing the 3 different groups of women: (1) women without CIN diagnosis; (2) women with untreated CIN; and (3) women with treated CIN prior to each childbirth.In total, 29,907, 5,940, and 9,412 pregnancies were included in the control, untreated CIN, and treated CIN group, respectively. The control group showed a 4.8% (1,002/20,969) proportion of spontaneous preterm birth, which increased to 6.9% (271/3,940) in the untreated CIN group, 9.5% (600/6,315) in the treated CIN group, and 15.6% (50/321) in the group with multiple treatments. Women with untreated CIN had a 1.38 times greater odds of preterm birth compared to women without CIN (95% confidence interval (CI) 1.19 to 1.60;P< 0.001). For women with treated CIN, these odds 2.07 times increased compared to the control group (95% CI 1.85 to 2.33;P< 0.001). Treated women had a 1.51 times increased odds of preterm birth compared to women with untreated CIN (95% CI 1.29 to 1.76;P< 0.001). Independent from cervical disease, a volume excised from the cervix of 0.5 to 0.9 cc increased the odds of preterm birth 2.20 times (37/379 versus 1,002/20,969; 95% CI 1.52 to 3.20;P< 0.001). These odds further increased 3.13 times and 5.93 times for women with an excised volume of 4 to 8.9 cc (90/724 versus 1,002/20,969; 95% CI 2.44 to 4.01;P< 0.001) and ≥9 cc (30/139 versus 1,002/20,969; 95% CI 3.86 to 9.13;P< 0.001), respectively. Limitations of the study include the retrospective nature, lack of sufficient information to calculate odds of preterm birth <24 weeks, and that the excised volume could only be calculated for a select group of women.ConclusionsIn this study, we observed a strong correlation between preterm birth and a volume of ≥0.5 cc excised cervical tissue, regardless of the severity of CIN. Caution should be taken when performing excisional treatment in women of reproductive age as well as prudence in case of multiple biopsies. Fertile women with a history of performing multiple biopsies or excisional treatment for CIN may benefit from close surveillance during pregnancy.

Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV‐positive women: Results from a Dutch primary HPV‐based screening cohort

AbstractMethylation of host‐cell deoxyribonucleic acid (DNA) has been proposed as a promising biomarker for triage of high‐risk (hr) human papillomavirus (HPV) positive women at screening. Our study aims to validate recently identified host‐cell DNA methylation markers for triage in an hrHPV‐positive cohort derived from primary HPV‐based cervical screening in The Netherlands. Methylation markers ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST were evaluated relative to the ACTB reference gene by multiplex quantitative methylation‐specific PCR (qMSP) in clinician‐collected cervical samples (n = 715) from hrHPV‐positive women (age 29‐60 years), who were enrolled in the Dutch IMPROVE screening trial (NTR5078). Primary clinical end‐point was cervical intraepithelial neoplasia grade 3 (CIN3) or cancer (CIN3+). The single‐marker and bi‐marker methylation classifiers developed for CIN3 detection in a previous series of hrHPV‐positive clinician‐collected cervical samples were applied. The diagnostic accuracy was visualised using receiver operating characteristic (ROC) curves and assessed through area under the ROC curve (AUC). The performance of the methylation markers to detect CIN3+ was determined using the predefined threshold calibrated at 70% clinical specificity. Individual methylation makers showed good performance for CIN3+ detection, with highest AUC for ASCL1 (0.844) and LHX8 (0.830). Combined as a bi‐marker panel with predefined threshold, ASCL1/LHX8 yielded a CIN3+ sensitivity of 76.9% (70/91; 95% CI 68.3‐85.6%) at a specificity of 74.5% (465/624; 95% CI 71.1‐77.9%). In conclusion, our study shows that the individual host‐cell DNA methylation classifiers and the bi‐marker panel ASCL1/LHX8 have clinical utility for the detection of CIN3+ in hrHPV‐positive women invited for routine screening.

Assessing the Cervicovaginal Microbiota in the Context of hrHPV Infections: Temporal Dynamics and Therapeutic Strategies

Cervical cancer is the third leading cause of female cancers globally, resulting in more than 300,000 deaths every year. The majority of all cervical cancers are caused by persistent infections with high-risk human papillomaviruses (hrHPV) that can progress to cancer via a series of premalignant lesions.

Methodological and analytical challenges in microbiome‐HPV association studies