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HPV16 L1 and L2 DNA methylation predicts high-grade cervical intraepithelial neoplasia in women with mildly abnormal cervical cytology.

ABSTRACT: DNA methylation changes in human papillomavirus type 16 (HPV16) DNA are common and might be important for identifying women at increased risk of cervical cancer. Using recently published data from Costa Rica we developed a classification score to differentiate women with cervical intraepithelial neoplasia grade 2 or 3 (CIN2/3) from those with no evident high-grade lesions. Here, we aim to investigate the performance of the score using data from the UK. Exfoliated cervical cells at baseline and 6-months follow-up were analyzed in 84 women selected from a randomized clinical trial of women undergoing surveillance for low-grade cytology. Selection of women for the methylation study was based on detectable HPV16 in the baseline sample. Purified DNA was bisulfite converted, amplified and pyrosequenced at selected CpG sites in the viral genome (URR, E6, L1 and L2), with blinding of laboratory personnel to the clinical data. The primary measure was a predefined score combining the mean methylation in L1 and any methylation in L2. At the second follow-up visit, 73/84 (87%) women were HPV16 positive and of these 25 had a histopathological diagnosis of CIN2/3. The score was significantly associated with CIN2/3 (area under curve = 0.74, p = 0.002). For a cutoff with 92% sensitivity, colposcopy could have been avoided in 40% (95% CI 27-54%) of HPV16 positive women without CIN2/3; positive predictive value was 44% (32-58%) and negative predictive value was 90% (71-97%). We conclude that quantitative DNA methylation assays could help to improve triage among HPV16 positive women.

SUBMITTER: Lorincz AT

PROVIDER: S-EPMC3708123 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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HPV16 L1 and L2 DNA methylation predicts high-grade cervical intraepithelial neoplasia in women with mildly abnormal cervical cytology.

Lorincz Attila T AT Brentnall Adam R AR Vasiljević Nataša N Scibior-Bentkowska Dorota D Castanon Alejandra A Fiander Alison A Powell Ned N Tristram Amanda A Cuzick Jack J Sasieni Peter P

International journal of cancer 20130307 3

DNA methylation changes in human papillomavirus type 16 (HPV16) DNA are common and might be important for identifying women at increased risk of cervical cancer. Using recently published data from Costa Rica we developed a classification score to differentiate women with cervical intraepithelial neoplasia grade 2 or 3 (CIN2/3) from those with no evident high-grade lesions. Here, we aim to investigate the performance of the score using data from the UK. Exfoliated cervical cells at baseline and 6 ...[more]

PMID: 23335178

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Project description:IntroductionMany countries have adopted active surveillance in women with cervical intraepithelial neoplasia grade 2 (CIN2), leaving the lesion untreated. However, there is a lack of consensus on the eligibility criteria for active surveillance across countries, with some abstaining from active surveillance in women with human papilloma virus 16 (HPV16) or a high-grade cytology. Here, we aimed to describe the distribution of HPV genotypes, age, and cytology in women undergoing active surveillance for CIN2.Material and methodsWe conducted a single-center cross-sectional study on women aged 23-40 undergoing active surveillance for CIN2 during 2000-2010. Women were identified through the Danish Pathology Data Bank (DPDB) at Aarhus University Hospital, Denmark. We collected information on basic characteristics and results of histopathological examinations via DPDB. Women were deemed eligible for inclusion if they had a subsequent biopsy after index CIN2, and had no prior record of CIN2+, hysterectomy, or cone biopsy. Archived biopsies underwent HPV genotyping using the HPV SPF10 - DEIA-LiPA25 system, and the diagnosis was re-evaluated by three expert pathologists. We used the Chi squared-test (p-value) for comparison across groups.ResultsWe identified 3623 women with CIN2 of whom 455 (12.6%) were included. Most women were 30 years or younger (73.8%), and half (48.8%) had a high-grade index cytology. The prevalence of any high-risk HPV was 87.0%, with HPV16 being the most prevalent genotype (35.6%). The prevalence of HPV16 was significantly higher in women aged 30 or younger (39.3%) compared to women older than 30 years (25.2%) (p = 0.006). Upon expert review, 261 (57.4%) had CIN2 confirmed, whereas 56 (12.3%) were upgraded to CIN3 and 121 (26.6%) were downgraded to CIN1/normal. While the HPV16 prevalence was similar between community and expert confirmed CIN2, the prevalence of HPV16 was significantly higher in women with expert CIN3 compared to women with expert CIN1/normal (64.3% vs. 19.0%, p = 0.001).ConclusionsThe high prevalence of HPV16 and high-grade cytology imply that these women may be perceived as a high-risk population and non-eligible for active surveillance in countries outside Denmark. Future studies should investigate the importance of HPV, age, cytology, and expert review on risk of progression to help refine criteria for active surveillance.

Project description:BACKGROUND: The development of cervical cancer and its high-grade precursor lesions (Cervical Intraepithelial Neoplasia grade 2/3 [CIN2/3]) result from a persistent infection with high-risk human papillomavirus (hrHPV) types and the accumulation of (epi)genetic host cell aberrations. Epidemiological studies have demonstrated variable CIN2/3 and cancer risks between different hrHPV types. Recent genomic profiling studies revealed substantial heterogeneity in the chromosomal aberrations detected in morphologically indistinguishable CIN2/3 suggestive of varying cancer risk. The current study aimed to investigate whether CIN2/3 with different hrHPV types vary with respect to their chromosomal profiles, both in terms of the number of aberrations and chromosomal loci affected. METHODS: Chromosomal profiles were determined of 43 p16INK4a-immunopositive CIN2/3 of women with long-term hrHPV infection (? 5 years). Sixteen lesions harboured HPV16, 3 HPV18, 14 HPV31, 1 HPV33, 4 HPV45, 1 HPV51, 2 HPV52 and 2 HPV58. RESULTS: Unsupervised hierarchical clustering analysis of the chromosomal profiles revealed two major clusters, characterised by either few or multiple chromosomal aberrations, respectively. A majority of 87.5% of lesions with HPV16 were in the cluster with relatively few aberrations, whereas no such unbalanced distribution was seen for lesions harbouring other hrHPV types. Analysis of the two most prevalent types (HPV16 and HPV31) in this data set revealed a three-fold increase in the number of losses in lesions with HPV31 compared to HPV16-positive lesions. In particular, losses at chromosomes 2q, 4p, 4q, 6p, 6q, 8q & 17p and gain at 1p & 1q were significantly more frequent in HPV31-positive lesions (FDR < 0.2). CONCLUSIONS: Chromosomal aberrations in CIN2/3 are at least in part related to the hrHPV type present. The relatively low number of chromosomal aberrations observed in HPV16-positive CIN2/3 suggests that the development of these lesions is less dependent on genetic insult than those caused by other types like HPV31.

Project description:New prevention strategies are needed to detect cervical intraepithelial neoplasia (CIN). The microRNA expression analysis has already been reported as molecular biomarkers in the early detection of cervical cancer (CC) through minimally invasive samples, such as liquid biopsy, obtained through collection using liquid-based cytology (LBC). In this study, we aimed to identify molecular signatures of microRNAs in cervical precursor lesions from LBC cervical and the molecular pathways potentially associated with the CC progression. We analyzed 31 LBC cervical samples from women who underwent colposcopy. These samples were divided into two groups: the first group was composed of samples without precursor lesions of CC, considering the control group, referred to as healthy female subjects (HFS; n = 11). The second group corresponded to women diagnosed with cervical interepithelial neoplasia grade 3 (CIN 3; n = 20). We performed microRNA and gene expression profiling using the nCounter® miRNA Expression Assays (NanoString Technology) and PanCancer Pathways (NanoString Technology), respectively. A microRNA target prediction was performed by mirDIP, and molecular pathway interaction was constructed using Cytoscape. Bidirectional in silico analyses and Pearson's correlation were performed for associated the relation between genes, and miRNAs differentially expressed related cervical cancer progression were performed. We found that the expression of nine microRNAs was significantly higher, two were downregulated (miR-381-3p and miR-4531), and seven miRNAs were upregulated (miR-205-5p, miR-130a-3p, miR-3136-3p, miR-128-2-5p, let-7f-5p, miR-202-3p, and miR-323a-5p) in CIN 3 (fold change ≥ 2 and p ≤ 0.05). The miRNA expression patterns were independent of hr-HPV infection. We identified four miRNAs (miR-205-5p, miR-130a-3p, miR-4531, and miR-381-3p) that could be used as biomarkers for CIN 3 in LBC samples through multiple logistic regression analyses. We found 16 genes differentially expressed between CIN 3 and HSF samples (fold change ≥ 2 and p ≤ 0.05). We found the correlation between miR-130a-3p and CCND1(R = -0.52; p = 0.0029), miR-205-5p and EGFR (R = 0.53; p = 0.0021), and miR-4531 and SMAD2 (R = -0.54; p = 0.0016). In addition, we demonstrated the most significant pathways of the targets associated with cervical cancer progression (FDR-corrected p < 0.001). This study demonstrated that miRNA biomarkers may distinguish healthy cervix and CIN 3 and regulate important molecular pathways of carcinogenesis.

Dataset Information

HPV16 L1 and L2 DNA methylation predicts high-grade cervical intraepithelial neoplasia in women with mildly abnormal cervical cytology.

Publications

HPV16 L1 and L2 DNA methylation predicts high-grade cervical intraepithelial neoplasia in women with mildly abnormal cervical cytology.

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