Molecular progression to cervical precancer,epigenetic switch or sequential model?

The evolution of precancerous cervical lesions is poorly understood. A widely held model of cervical intraepithelial neoplasia grade 3 (CIN3) development is sequential progression from normal through CIN1 and CIN2 to CIN3. Another hypothesis, the “molecular switch” model, postulates that CIN3 can evolve directly from human papillomavirus (HPV)‐infected normal epithelium without progressing through CIN1 and CIN2. To shed light on this process, we compared DNA methylation of selected human biomarkers and HPV types in two groups of CIN1: CIN1 that were near or adjacent to CIN3 (adjacent‐CIN1) and CIN1 that were the principal lesions with no CIN3 detected (principal‐CIN1). 354 CIN (CIN1 and CIN3) and normal tissue areas were dissected and typed for HPV from 127 women who underwent loop electrosurgical excision procedures (LEEP). Methylation of genes EPB41L3 and the viral regions of HPV16‐L1/L2, HPV18‐L2, HPV31‐L1, and HPV33‐L2 were determined by a highly accurate quantitative pyrosequencing of bisulfite converted DNA. There was a significant trend of increased methylation with disease grade comparing normal to CIN1 and CIN3 (p < 0.0001). Adjacent‐CIN1 predominantly shared the same HPV types as the CIN3, however, methylation differed substantially between adjacent‐CIN1 and CIN3 (p = 0.008). In contrast diagnostically principal‐CIN1 had an indistinguishable methylation distribution compared to adjacent‐CIN1 (EPB41L3: p = 0.49; HPVme‐All: p = 0.11). Our results suggest that progression from normal epithelium to CIN1 or CIN3 is usually promoted by the same HPV type but occurs via distinct DNA epigenotypes, thus favoring the “molecular switch” model.     

CADM1 and MAL promoter methylation levels in hrHPV‐positive cervical scrapes increase proportional to degree and duration of underlying cervical disease

Combined detection of cell adhesion molecule 1 (CADM1) and T‐lymphocyte maturation‐associated protein (MAL) promoter methylation in cervical scrapes is a promising triage strategy for high‐risk human papillomavirus (hrHPV)‐positive women. Here, CADM1 and MAL DNA methylation levels were analysed in cervical scrapes of hrHPV‐positive women with no underlying high‐grade disease, high‐grade cervical intraepithelial neoplasia (CIN) and cervical cancer. CADM1 and MAL methylation levels in scrapes were first related to CIN‐grade of the corresponding biopsy and second to CIN‐grade stratified by the presence of ‘normal’ or ‘abnormal’ cytology as present in the accompanying scrape preceding the cervical biopsy. The scrapes included 167 women with ≤CIN1, 54 with CIN2/3 and 44 with carcinoma. In a separate series of hrHPV‐positive scrapes of women with CIN2/3 (n = 48), methylation levels were related to duration of preceding hrHPV infection (PHI; <5 and ≥5 years). Methylation levels were determined by quantitative methylation‐specific PCR and normal cytology scrapes of hrHPV‐positive women with histologically ≤CIN1 served as reference. CADM1 and MAL methylation levels increased proportional to severity of the underlying lesion, showing an increase of 5.3‐ and 6.2‐fold in CIN2/3, respectively, and 143.5‐ and 454.9‐fold in carcinomas, respectively, compared to the reference. Methylation levels were also elevated in CIN2/3 with a longer duration of PHI (i.e. 11.5‐ and 13.6‐fold, respectively). Moreover, per histological category, methylation levels were higher in accompanying scrapes with abnormal cytology than in scrapes with normal cytology. Concluding, CADM1 and MAL promoter methylation levels in hrHPV‐positive cervical scrapes are related to the degree and duration of underlying cervical disease and markedly increased in cervical cancer.     

Methylomics analysis identifies epigenetically silenced genes and implies an activation of β‐catenin signaling in cervical cancer

Using DNA methylation biomarkers in cancer detection is a potential direction in clinical testing. Some methylated genes have been proposed for cervical cancer detection; however, more reliable methylation markers are needed. To identify new hypermethylated genes in the discovery phase, we compared the methylome between a pool of DNA from normal cervical epithelium (n = 19) and a pool of DNA from cervical cancer tissues (n = 38) using a methylation bead array. We integrated the differentially methylated genes with public gene expression databases, which resulted in 91 candidate genes. Based on gene expression after demethylation treatment in cell lines, we confirmed 61 genes for further validation. In the validation phase, quantitative MSP and bisulfite pyrosequencing were used to examine their methylation level in an independent set of clinical samples. Fourteen genes, including ADRA1D, AJAP1, COL6A2, EDN3, EPO, HS3ST2, MAGI2, POU4F3, PTGDR, SOX8, SOX17, ST6GAL2, SYT9, and ZNF614, were significantly hypermethylated in CIN3+ lesions. The sensitivity, specificity, and accuracy of POU4F3 for detecting CIN3+ lesions were 0.88, 0.82, and 0.85, respectively. A bioinformatics function analysis revealed that AJAP1, EDN3, EPO, MAGI2, and SOX17 were potentially implicated in β‐catenin signaling, suggesting the epigenetic dysregulation of this signaling pathway during cervical cancer development. The concurrent methylation of multiple genes in cancers and in subsets of precancerous lesions suggests the presence of a driver of methylation phenotype in cervical carcinogenesis. Further validation of these new genes as biomarkers for cervical cancer screening in a larger population‐based study is warranted.     

DNA methylation of imprinted gene control regions in the regression of low‐grade cervical lesions

The role of host epigenetic mechanisms in the natural history of low‐grade cervical intraepithelial neoplasia (CIN1) is not well characterized. We explored differential methylation of imprinted gene regulatory regions as predictors of the risk of CIN1 regression. A total of 164 patients with CIN1 were recruited from 10 Duke University clinics for the CIN Cohort Study. Participants had colposcopies at enrollment and up to five follow‐up visits over 3 years. DNA was extracted from exfoliated cervical cells for methylation quantitation at CpG (cytosine‐phosphate‐guanine) sites and human papillomavirus (HPV) genotyping. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox regression to quantify the effect of methylation on CIN1 regression over two consecutive visits, compared to non‐regression (persistent CIN1; progression to CIN2+; or CIN1 regression at a single time‐point), adjusting for age, race, high‐risk HPV (hrHPV), parity, oral contraceptive and smoking status. Median participant age was 26.6 years (range: 21.0–64.4 years), 39% were African‐American, and 11% were current smokers. Most participants were hrHPV‐positive at enrollment (80.5%). Over one‐third of cases regressed (n = 53, 35.1%). Median time‐to‐regression was 12.6 months (range: 4.5–24.0 months). Probability of CIN1 regression was negatively correlated with methylation at IGF2AS CpG 5 (HR = 0.41; 95% CI = 0.23–0.77) and PEG10 DMR (HR = 0.80; 95% CI = 0.65–0.98). Altered methylation of imprinted IGF2AS and PEG10 DMRs may play a role in the natural history of CIN1. If confirmed in larger studies, further research on imprinted gene DMR methylation is warranted to determine its efficacy as a biomarker for cervical cancer screening.     

Alterations of RASSF1A in premalignant cervical lesions: clinical and prognostic significance

This study aimed to understand the importance of RASSF1A and CACNA2D2, located in chromosomal 3p21.31 region, in the development of uterine cervical carcinoma (CACX). To this end, firstly the expression (RNA) profiles of RASSF1A and CACNA2D2 were screened in primary cervical carcinoma (CACX) samples which indicated highly reduced expression for both genes. Thereafter alterations (deletion/methylation) of these genes were analyzed in 23 cervical intraepithelial neoplasia (CIN) and 110 CACX samples. In CIN, deletion was observed only for RASSF1A (26%), whereas methylation was in the following order: RASSF1A (35%) > CACNA2D2 (9%). However, in CACX their deletion frequencies were the same (50%) and methylation frequencies were comparable RASSF1A (33%), CACNA2D2 (27%). The reduced expression and molecular alterations of these genes were concordant. Overall alterations of RASSF1A showed association with CIN lesions and CACNA2D2 with disease progression from CIN → stage I/II. Interestingly, alterations of these genes showed significant association in CACX suggesting possible functional synergism during tumor progression. Alterations of RASSF1A and CACNA2D2 predicted poor prognosis for the patients. Moreover, RASSF1A alterations along with multiparity (≥5 yr) and early sexual debut (<19 yr) were determinants of worse prognosis. Our data suggests the association of RASSF1A and CACNA2D2 in cervical carcinogenesis and its importance in early diagnosis and prognosis of the tumor. © 2011 Wiley Periodicals, Inc.     

A four-gene methylation marker panel as triage test in high-risk human papillomavirus positive patients

Cervical neoplasia‐specific biomarkers, e.g. DNA methylation markers, with high sensitivity and specificity are urgently needed to improve current population‐based screening on (pre)malignant cervical neoplasia. We aimed to identify new cervical neoplasia‐specific DNA methylation markers and to design and validate a methylation marker panel for triage of high‐risk human papillomavirus (hr‐HPV) positive patients. First, high‐throughput quantitative methylation‐specific PCRs (QMSP) on a novel OpenArray? platform, representing 424 primers of 213 cancer specific methylated genes, were performed on frozen tissue samples from 84 cervical cancer patients and 106 normal cervices. Second, the top 20 discriminating methylation markers were validated by LightCycler® MSP on frozen tissue from 27 cervical cancer patients and 20 normal cervices and ROCs and test characteristics were assessed. Three new methylation markers were identified (JAM3, EPB41L3 and TERT), which were subsequently combined with C13ORF18 in our four‐gene methylation panel. In a third step, our methylation panel detected in cervical scrapings 94% (70/74) of cervical cancers, while in a fourth step 82% (32/39) cervical intraepithelial neoplasia grade 3 or higher (CIN3+) and 65% (44/68) CIN2+ were detected, with 21% positive cases for ≤CIN1 (16/75). Finally, hypothetical scenario analysis showed that primary hr‐HPV testing combined with our four‐gene methylation panel as a triage test resulted in a higher identification of CIN3 and cervical cancers and a higher percentage of correct referrals compared to hr‐HPV testing in combination with conventional cytology. In conclusion, our four‐gene methylation panel might provide an alternative triage test after primary hr‐HPV testing.     

Methylation of viral and host genes and severity of cervical lesions associated with human papillomavirus type 16

Methylation of human papillomavirus (HPV) and host genes may predict cervical cancer risk. We examined the methylation status of selected sites in HPV16 and human genes in DNA extracted from exfoliated cervical cell samples of 244 women harboring HPV16‐positive cancer or cervical intraepithelial neoplasia (CIN) or negative for intraepithelial lesions or malignancy (NILM). We quantified the methylation of CpG sites in the HPV16 L1 gene (CpG 6367 and 6389) and in the human genes EPB41L3 (CpG 438, 427, 425) and LMX1 (CpG 260, 262, 266, 274) following bisulfite treatment and pyrosequencing. Receiver operating characteristic (ROC) curves were used to analyze the diagnostic utility of methylation level for the different sites and for a joint predictor score. Methylation in all sites significantly increased with lesion severity (p < 0.0001). Area under the curve (AUC) was highest among the CIN2/3 vs. cancer ranging from 0.786 to 0.853 among the different sites. Site‐specific methylation levels strongly discriminated CIN2/3 from NILM/CIN1 and cancer from CIN2/3 (range of odds ratios [OR]: 3.69–12.76, range of lower 95% confidence bounds: 1.03–4.01). When methylation levels were mutually adjusted for each other EPB41L3 was the only independent predictor of CIN2/3 vs. NILM/CIN1 contrasts (OR = 9.94, 95%CI: 2.46–40.27). High methylation levels of viral and host genes are common among precancerous and cancer lesions and can serve as independent risk biomarkers. Methylation of host genes LMX1 and EPB41L3 and of the viral HPV16 L1 sites has the potential to distinguish among precancerous lesions and to distinguish the latter from invasive disease.     

DNA methylation markers as a triage test for identification of cervical lesions in a high risk human papillomavirus positive screening cohort

Objective triage strategies are required to prevent unnecessary referrals for colposcopy in population-based screening programs using primary high-risk human papillomavirus (hrHPV) testing. We have identified several DNA methylation markers with high sensitivity and specificity for detection of high-grade cervical intraepithelial neoplasia or worse (CIN2+) in women referred for colposcopy. Our study assessed diagnostic potential of these methylation markers in a hrHPV-positive screening cohort. All six markers (JAM3, EPB41L3, C13orf18, ANKRD18CP, ZSCAN1 and SOX1) showed similar association across histology in the hrHPV-positive cohort when compared to the Dutch cohort (each p > 0.15). Sensitivity for CIN2+ was higher using methylation panel C13orf18/EPB41L3/JAM3 compared to the other 2 panels (80% vs. 60% (ANKRD18CP/C13orf18/JAM3) and 63% (SOX1/ZSCAN1), p = 0.01). For CIN3+ all three methylation panels showed comparable sensitivity ranging from 68% (13/19) to 95% (18/19). Specificity of SOX1/ZSCAN1 panel (84%, 167/200) was considerably higher compared to ANKRD18CP/C13orf18/JAM3 (68%, 136/200, p = 2 × 10⁻⁵) and C13orf18/EPB41L3/JAM3 (66%, 132/200, p = 2 × 10⁻⁷). High negative predictive value (NPV) (91–95% and 96–99%) was observed for CIN2+ and CIN3+, for all three methylation panels, while positive predictive value (PPV) varied from 25 to 40% for CIN2+ and 15–27% for CIN3+. Interestingly, 118/235 samples were negative for all six markers (including 106 controls (89.8%), 6 CIN1 (5.1%), 5 CIN2 (4.2%) and 1 CIN3 (0.8%)). Methylation results from both independent cohorts were comparable as well as high sensitivity for detection of cervical cancer and its high-grade precursors in hrHPV-positive population. Our study therefore validates these methylation marker panels as triage test either in hrHPV-based or abnormal cytology-based screening programs.     

DNA methylation changes measured in pre‐diagnostic peripheral blood samples are associated with smoking and lung cancer risk

DNA methylation changes are associated with cigarette smoking. We used the Illumina Infinium HumanMethylation450 array to determine whether methylation in DNA from pre‐diagnostic, peripheral blood samples is associated with lung cancer risk. We used a case‐control study nested within the EPIC‐Italy cohort and a study within the MCCS cohort as discovery sets (a total of 552 case‐control pairs). We validated the top signals in 429 case‐control pairs from another 3 studies. We identified six CpGs for which hypomethylation was associated with lung cancer risk: cg05575921 in the AHRR gene (p‐value_pooled = 4 × 10^?17), cg03636183 in the F2RL3 gene (p‐value_pooled = 2 × 10 ^{? 13}), cg21566642 and cg05951221 in 2q37.1 (p‐value_pooled = 7 × 10^?16 and 1 × 10^?11 respectively), cg06126421 in 6p21.33 (p‐value_pooled = 2 × 10^?15) and cg23387569 in 12q14.1 (p‐value_pooled = 5 × 10^?7). For cg05951221 and cg23387569 the strength of association was virtually identical in never and current smokers. For all these CpGs except for cg23387569, the methylation levels were different across smoking categories in controls (p‐values_{heterogeneity} ≤ 1.8 x10 ^{? 7}), were lowest for current smokers and increased with time since quitting for former smokers. We observed a gain in discrimination between cases and controls measured by the area under the ROC curve of at least 8% (p‐values ≥ 0.003) in former smokers by adding methylation at the 6 CpGs into risk prediction models including smoking status and number of pack‐years. Our findings provide convincing evidence that smoking and possibly other factors lead to DNA methylation changes measurable in peripheral blood that may improve prediction of lung cancer risk.     

Human leukocyte antigen class II DRB1*1302 allele protects against cervical cancer: At which step of multistage carcinogenesis?

We investigated the role of human leukocyte antigen (HLA) class II alleles in multistage cervical carcinogenesis. Cross‐sectional analysis for HLA association with cervical cancer included 1253 Japanese women: normal cytology (NL, n = 341), cervical intraepithelial neoplasia grade 1 (CIN1, n = 505), CIN grade 2 or 3 (CIN2/3, n = 96), or invasive cervical cancer (ICC, n = 311). The HLA class II allele frequencies were compared by Fisher's exact test or the χ²‐test. The Bonferroni adjustment corrected for multiple comparisons. Among the study subjects, 454 women with low‐grade squamous intraepithelial lesion cytology were prospectively monitored by cytology and colposcopy every 3–4 months to analyze cumulative risk of CIN3 within the next 10 years in relation to HLA class II alleles. HLA class II DRB1*1302 allele frequency was similar between women with NL (11.7%) and CIN1 (11.9%), but significantly decreased to 5.2% for CIN2/3 and 5.8% for ICC (P = 0.0003). Correction for multiple testing did not change this finding. In women with low‐grade squamous intraepithelial lesion cytology, the cumulative risk of CIN3 diagnosed within 10 years was significantly reduced among DRB1*1302‐positive women (3.2% vs. 23.7%, P = 0.03). In conclusion, the two different types of analysis in this single study showed the protective effect of the DRB1*1302 allele against progression from CIN1 to CIN2/3.     

JAM3 methylation status as a biomarker for diagnosis of preneoplastic and neoplastic lesions of the cervix

DNA methylation is clinically relevant to important tumorigenic mechanisms. This study evaluated the methylation status of candidate genes in cervical neoplasia and determined their diagnostic performance in clinical practice. Cervical cancer and normal cervix tissue was used to select the top 5 discriminating loci among 27 loci in 4 genes (CCNA1, CADM1, DAPK1, JAM3), and one locus of JAM3 (region M4) was identified and confirmed with 267 and 224 cervical scrapings from 2 independent colposcopy referral studies. For patients with atypical squamous cells of unknown significance and those with low-grade squamous intraepithelial lesion, with JAM3-M4 compared to a triage marker of hrHPV testing, the specificity for cervical intraepithelial neoplasia 3 CIN3 and cancer cases (CIN3+) / no neoplasia and CIN1 (CIN1−) was significantly increased, from 21.88 to 81.82 and 15.38 to 85.18, respectively. The corresponding positive predictive value (PPV) was increased from 26.47 to 57.14 and 18.52 to 63.64, respectively. For hrHPV-positive patients, compared to a triage marker of cytology testing, JAM3-M4 showed increased specificity and PPV, from 30.67 to 87.65 and 38.82 to 82.14, respectively. We assessed whether JAM3-M4 could distinguish productive from transforming CIN2; the coincidence rate of JAM3-M4 and P16 was as high as 60.5%.     

HPV16 methyl‐haplotypes determined by a novel next‐generation sequencing method are associated with cervical precancer

We have developed and evaluated a next‐generation bisulfite sequencing (NGS) assay to distinguish HPV16 cervical precancer (CIN2–3; N =59) from HPV16‐positive transient infections (N = 40). Cervical DNA was isolated and treated with bisulfite and HPV16 methylation was quantified by (i) amplification with barcoded primers and massively parallel single molecule sequencing and (ii) site‐specific pyrosequencing. Assays were evaluated for agreement using intraclass correlation coefficients (ICC). Odds ratios (OR) for high methylation vs. low methylation were calculated. Single site pyrosequencing and NGS data were correlated (ICC = 0.61) and both indicated hypermethylation was associated with precancer (ORs of 2–37). Concordant NGS and pyrosequencing results yieled ORs that were stronger when compared with using either assay separately. Within the L1 region, the ORs for CIN2–3 were 14.3 and 22.4 using pyrosequencing and NGS assays, respectively; when both methods agreed the OR was 153. NGS assays provide methylation haplotypes, termed methyl‐haplotypes from single molecule reads: cases had increased methyl‐haplotypes with ≥ 1 methylated CpG site(s) per fragment compared with controls, particularly in L1 (p = 3.0 × 10^?8). The maximum discrimination of cases from controls for a L1 methyl‐haplotype had an AUC of 0.89 corresponding to a sensitivity of 92.5% and a specificity of 73.1%. The strengthening of the OR when the two assays were concordant suggests the true association of CpG methylation with precancer is stronger than with either assay. As cervical cancer prevention moves to DNA testing methods, DNA based biomarkers, such as HPV methylation could serve as a reflex strategy to identify women at high risk for cervix cancer.     

Methylation testing for the detection of recurrent cervical intraepithelial neoplasia

Women treated for CIN2/3 remain at increased risk of recurrent CIN and cervical cancer, and therefore posttreatment surveillance is recommended. This post hoc analysis evaluates the potential of methylation markers ASCL1/LHX8 and FAM19A4/miR124-2 for posttreatment detection of recurrent CIN2/3. Cervical scrapes taken at 6 and 12 months posttreatment of 364 women treated for CIN2/3 were tested for methylation of ASCL1/LHX8 and FAM19A4/miR124-2 using quantitative multiplex methylation-specific PCR. Performance of the methylation tests were calculated and compared with the performance of HPV and/or cytology. Methylation levels of recurrent CIN were compared between women with a persistent HPV infection, and women with an incident HPV infection or without HPV infection. Recurrent CIN2/3 was detected in 42 women (11.5%), including 28 women with CIN2 and 14 with CIN3. ASCL1/LHX8 tested positive in 13/14 (92.9%) of recurrent CIN3 and 13/27 (48.1%) of recurrent CIN2. FAM19A4/miR124-2 tested positive in 14/14 (100%) of recurrent CIN3 and 10/27 (37.0%) of recurrent CIN2. Combined HPV and/or methylation testing showed similar positivity rates as HPV and/or cytology. The CIN2/3 risk at 12 months posttreatment was 30.8% after a positive ASCL1/LHX8 result at 6 months posttreatment. Methylation levels of CIN2/3 in women with a persistent HPV infection were significantly higher compared with women with an incident or no HPV infection. In conclusion, posttreatment monitoring by methylation analysis of ASCL1/LHX8 and FAM19A4/miR124-2 showed a good performance for the detection of recurrent CIN. DNA methylation testing can help to identify women with recurrent CIN that require re-treatment.     

维吾尔族妇女宫颈癌与TFPI-2基因启动区甲基化关系研究

  目的   研究组织因子抑制物2(TFPI-2)基因在维吾尔族妇女宫颈病变组织中的甲基化水平, 探讨其甲基化水平变化与宫颈病变的关系。   方法   收集维吾尔族妇女慢性宫颈炎、宫颈内瘤变(CIN、cervical intraepithelial neoplasia)Ⅰ/Ⅱ/Ⅲ和宫颈鳞癌(cervical squamous cell carcinoma, CSCC)患者的新鲜组织标本, 提取高质量基因组DNA和RNA, 设计TFPI-2基因启动子区CpG岛片段特异性PCR引物及RT-PCR引物, 应用Sequenom MassARRAY甲基化DNA定量分析平台和半定量RT-PCR技术, 对维吾尔族妇女宫颈组织DNA进行甲基化水平定量分析。   结果   分析Sequenom MassArray质谱数据, TFPI-2基因启动子区CpG岛片段(目的片段)甲基化水平定量差异显著(P < 0.05)。分别对TFPI-2的单点CpG位点甲基化水平差异进行分析, 可见TFPI-2基因的目的片段的CpG-1、CpG-6、CpG-7、CpG-8、CpG-9和CpG-11等六个CpG位点甲基化率在肿瘤与正常对照之间均有统计学差异(P < 0.05)并且两个CpG位点相关性很密切(r < 0.5、P < 0.01);半定量RT-PCR鉴定结果表明, TFPI-2 mRNA表达水平在宫颈炎组增高, 在CINⅠ/Ⅱ/Ⅲ组降低, 而在宫颈鳞癌组最低, 宫颈炎组与宫颈癌组比较, 差异均有统计学意义(P < 0.01), 说明该基因转录表达水平下调伴随着宫颈病变进程。   结论   维吾尔族宫颈癌细胞内的TFPI-2基因启动子区CpG岛高甲基化与该基因表达水平变化密切关联。在维吾尔族妇女宫颈病变进程中TFPI-2基因启动子高甲基化是其基因的转录水平(mRNA)下调的重要原因, 可能是宫颈癌的早期预警指标, 为该基因甲基化相关的表观遗传学研究提供了依据。      

A DNA methylation classifier of cervical precancer based on human papillomavirus and human genes

Testing for high‐risk (hr) types of human papillomavirus (HPV) is highly sensitive as a screening test of high‐grade cervical intraepithelial neoplastic (CIN2/3) disease, the precursor of cervical cancer. However, it has a relatively low specificity. Our objective was to develop a prediction rule with a higher specificity, using combinations of human and HPV DNA methylation. Exfoliated cervical specimens from colposcopy‐referral cohorts in London were analyzed for DNA methylation levels by pyrosequencing in the L1 and L2 regions of HPV16, HPV18, HPV31 and human genes EPB41L3, DPYS and MAL. Samples from 1,493 hrHPV‐positive women were assessed and of these 556 were found to have CIN2/3 at biopsy; 556 tested positive for HPV16 (323 CIN2/3), 201 for HPV18 (73 CIN2/3) and 202 for HPV31 (98 CIN2/3). The prediction rule included EPB41L3 and HPV and had area under curve 0.80 (95% CI 0.78–0.82). For 90% sensitivity, specificity was 36% (33–40) and positive predictive value (PPV) was 46% (43–48). By HPV type, 90% sensitivity corresponded to the following specificities and PPV, respectively: HPV16, 38% (32–45) and 67% (63–71); HPV18, 53% (45–62) and 52% (45–59); HPV31, 39% (31–49) and 58% (51–65); HPV16, 18 or 31, 44% (40–49) and 62% (59–65) and other hrHPV 17% (14–21) and 21% (18–24). We conclude that a methylation assay in hrHPV‐positive women might improve PPV with minimal sensitivity loss.     

Comparing the performance of FAM19A4 methylation analysis,cytology and HPV16/18 genotyping for the detection of cervical (pre)cancer in high‐risk HPV‐positive women of a gynecologic outpatient population (COMETH study)

Recently, DNA methylation analysis of FAM19A4 in cervical scrapes has been shown to adequately detect high‐grade cervical intraepithelial neoplasia and cervical cancer (≥CIN3) in high‐risk HPV (hrHPV)‐positive women. Here, we compared the clinical performance of FAM19A4 methylation analysis to cytology and HPV16/18 genotyping, separately and in combination, for ≥CIN3 detection in hrHPV‐positive women participating in a prospective observational multi‐center cohort study. The study population comprised hrHPV‐positive women aged 18–66 years, visiting a gynecological outpatient clinic. From these women, cervical scrapes and colposcopy‐directed biopsies (for histological confirmation) were obtained. Cervical scrapes were analyzed for FAM19A4 gene promoter methylation, cytology and HPV16/18 genotyping. Methylation analysis was performed by quantitative methylation‐specific PCR (qMSP). Sensitivities and specificities for ≥CIN3 were compared between tests. Stratified analyses were performed for variables that potentially influence marker performance. Of all 508 hrHPV‐positive women, the sensitivities for ≥CIN3 of cytology, FAM19A4 methylation analysis, and cytology combined with HPV16/18 genotyping were 85.6, 75.6 and 92.2%, respectively, with corresponding specificities of 49.8, 71.1 and 29.4%, respectively. Both sensitivity and specificity of FAM19A4 methylation analysis were associated with age (p ≤ 0.001 each). In women ≥30 years (n = 287), ≥CIN3 sensitivity of FAM19A4 methylation analysis was 88.3% (95%CI: 80.2–96.5) which was noninferior to that of cytology [85.5% (95%CI: 76.0–94.0)], at a significantly higher specificity [62.1% (95%CI: 55.8–68.4) compared to 47.6% (95%CI: 41.1–54.1)]. In conclusion, among hrHPV‐positive women from an outpatient population aged ≥30 years, methylation analysis of FAM19A4 is an attractive marker for the identification of women with ≥CIN3.     

Increased vascular endothelial growth factor expression,CD3‐positive cell infiltration,and oxidative stress in premalignant lesions of the cervix

BACKGROUND:

Vascular endothelial growth factor (VEGF) plays an important role in cervical intraepithelial neoplasia (CIN) progression. The occurrence of leukocytes has been documented in CIN; however, their role in VEGF production remains unknown. Oxidative stress has been involved in the progression of malignant neoplasias, but to the authors' knowledge tissue oxidative stress in CIN has not been documented. The objective of the current study was to investigate the expression of VEGF, leukocyte infiltration, leukocyte VEGF expression, and nitrogen/oxygen metabolism in cervical tissues from patients with CIN.

METHODS:

Indirect immunofluorescence was used to study the expression of VEGF and leukocyte infiltration in cervical samples from 55 patients with CIN and 7 normal controls. Superoxide anion (O₂^?) expression was determined by a cytochemical method, and tissue and serum nitric oxide by the Griess reaction. Human papillomavirus (HPV) DNA and HPV types were identified by the hybrid capture 2 HPV DNA test.

RESULTS:

Increased expression of VEGF was observed related to the progression of CIN. A significant increment of CD3 lymphocytes was found in CIN type 3 (CIN 3) and coexpression of CD3/VEGF and monocyte‐macrophage/VEGF in CIN 2 and 3. Increased O₂^?‐positive cells were found in CIN 2 and 3; however, tissue nitrate‐nitrite content remained similar to controls. The incidence of HPV infection was 16% in patients with CIN. No significant differences were observed in the values of HPV‐positive or HPV‐negative patients.

CONCLUSIONS:

Different factors leading to cervical neoplasia progression may be involved in the evolution of CIN, and the presence of these factors is most likely not related to the HPV infection status. Cancer 2009. © 2009 American Cancer Society.     

p16INK4A immunohistochemical staining and predictive value for progression of cervical intraepithelial neoplasia grade 1: A prospective study in China

p16^INK4A is strongly expressed in tissues diagnosed as cervical intraepithelial neoplasia (CIN) and cancer in women infected with human papillomavirus (HPV), but few prospective studies have evaluated p16^INK4A as a marker for the risk of low‐grade CIN (CIN1) progression. We investigated the prevalence of p16^INK4A immunostaining by CIN grade and whether overexpression of p16^INK4A in CIN1 predicts future risk for high‐grade CIN in Chinese women. 6,557 Chinese women aged 30–49 years were screened from 2003 to 2005 using cytology and carcinogenic HPV test. Colposcopy was performed on women with any abnormal result. p16^INK4A Immunostaining was performed on biopsies from all women with CIN1, as well as randomly selected women with normal or CIN grade 2 and worse (CIN2+) biopsies. Women with CIN1 were followed up without treatment. Colposcopy was performed on all untreated women at a 2‐year interval. The prevalence of p16^INK4A staining was 2.7%, 42.7%, 75.5%, 79.6% and 100% among women with normal, CIN1, 2, 3 and cancer biopsies, respectively (p < 0.001). HPV positivity was strongly associated with p16^INK4A staining [odds ratios (OR) = 12.8; 95% confidence intervals (CI): 5.2–31.6]. p16^INK4A staining of CIN1 biopsies at baseline was associated with an increased risk of finding high‐grade CIN over 2 years of follow‐up (OR = 1.43; 95% CI: 0.52–3.91). The two‐year cumulative incidence of CIN2+ for p16^INK4A positive women was higher at 10.71% than for p16^INK4A negative women at 1.30% (crude RR = 8.25, 95% CI: 1.02–66.62). p16^INK4A overexpression is strongly associated with grade of CIN and risk of progression to high‐grade CIN in women with low‐grade lesions.