TPP1 is associated with risk of advanced precursors and cervical cancer survival.

It is unclear how telomere-binding protein TPP1 interacts with human telomerase reverse transcriptase (hTERT) and influences cervical cancer development and progression. This study included all eligible 156 cervical cancers diagnosed during 2003-2008 and followed up through 2014, 102 cervical intraepithelial neoplasia (CIN) patients, and 16 participants with normal cervix identified at the same period. Correlation of expression of TPP1 and hTERT in these lesions was assessed using Kappa statistics. TPP1 was knocked down by siRNA in three cervical cancer cell lines. We assessed mRNA expression using quantitative real-time polymerase chain reaction and protein expression using tissue microarray-based immunohistochemical staining. We further analyzed the impact of TPP1 expression on the overall survival of cervical cancer patients by calculating the hazard ratio (HR) with 95% confidence intervals (CIs) using the multivariable-adjusted Cox regression model. Compared to the normal cervix, high TPP1expression was significantly associated with CIN 3 and cervical cancers (P<0.001 for both). Expressions of TPP1 and hTERT were highly correlated in CIN 3 (Kappa statistics = 0.50, P = 0.005), squamous cell carcinoma (Kappa statistics = 0.22, P = 0.011), and adenocarcinoma/adenosquamous carcinoma (Kappa statistics = 0.77, P = 0.001). Mechanistically, knockdown of TPP1 inhibited the expression of hTERT in both mRNA and protein levels. High expression of TPP1 (HR = 2.61, 95% CI 1.23-5.51) and co-high expression of TPP1 and hTERT (HR = 2.38, 95% CI 1.28-4.43) were independently associated with worse survival in cervical cancer patients. TPP1 and hTERT expression was correlated and high expression of TPP1 was associated with high risk of CIN 3 and cervical cancer and could predict a worse survival in cervical cancer.

Analysis of the diagnostic performance of PAX1/SOX1 gene methylation in cervical precancerous lesions and its role in triage diagnosis.

Methylation panels, tools for investigating epigenetic changes associated with diseases like cancer, can identify DNA methylation patterns indicative of disease, providing diagnostic or prognostic insights. However, the application of methylation panels focusing on the sex-determining region Y-box 1 (SOX1) and paired box gene 1 (PAX1) genes for diagnosing cervical lesions is under-researched. This study aims to examine the diagnostic performance of PAX1/SOX1 gene methylation as a marker for cervical precancerous lesions and its potential application in triage diagnosis. From September 2022 to April 2023, 181 patients with abnormal HPV-DNA tests or cytological exam results requiring colposcopy were studied at Hubei Maternal and Child Health Hospital, China. Data were collected from colposcopy, cytology, HPV-DNA tests, and PAX1/SOX1 methylation detection. Patients were categorized as control, cervical intraepithelial neoplasia Grade 1 (CIN1), Grade 2 (CIN2), Grade 3 (CIN3), and cervical cancer (CC) groups based on histopathology. We performed HPV testing, liquid-based cytology, and PAX1/SOX1 gene methylation testing. We evaluated the diagnostic value of methylation detection in cervical cancer using DNA methylation positivity rate, sensitivity, specificity, and area under the curve (AUC), and explored its potential for triage diagnosis. PAX1/SOX1 methylation positivity rates were: control 17.1%, CIN1 22.5%, CIN2 100.0%, CIN3 90.0%, and CC 100.0%. The AUC values for PAX1 gene methylation detection in diagnosing CIN1+, CIN2+, and CIN3+ were 0.52 (95% confidence interval [CI]: 0.43-0.62), 0.88 (95% CI: 0.80-0.97), and 0.88 (95% CI: 0.75-1.00), respectively. Corresponding AUC values for SOX1 gene methylation detection were 0.47 (95% CI: 0.40-0.58), 0.80 (95% CI: 0.68-0.93), and 0.92 (95% CI: 0.811-1.00), respectively. In HPV16/18-negative patients, methylation detection showed sensitivity of 32.4% and specificity of 83.7% for CIN1+. For CIN2+ and CIN3+, sensitivity was all 100%, with specificities of 83.0% and 81.1%. Among the patients who underwent colposcopy examination, 166 cases had cytological examination results ≤ASCUS, of which 37 cases were positive for methylation, and the colposcopy referral rate was 22.29%. PAX1/SOX1 gene methylation detection exhibits strong diagnostic efficacy for cervical precancerous lesions and holds significant value in triage diagnosis.

The importance of combined HPV and CINtec® PLUS genotyping testing for p16 in women with cervical squamous cell carcinoma.

INTRODUCTION: Immunohistochemistry (IHC) for p16INK4A (p16) is a reliable surrogate test for the presence of a high-risk, potentially transformative human papillomavirus (HPV) infection in precursor and malignant lesions of the cervix. The purpose of this study was to evaluate changes in cervical cells caused by persistent HPV infection, by IHC (p16 protein) by comparison with HPV genotyping. PATIENTS, MATERIALS AND METHODS: The study included female patients aged between 26 and 57 years who presented to a public hospital, with complaints related to the genital area, namely vaginal bleeding and dyspareunia. After selecting the patients, samples were subjected to cytological testing and IHC for p16 and for the determination of HPV types. RESULTS: The relationship between HPV status and p16 status was statistically significant (p=0.0001), of the 41 patients, 53.7% were HPV positive, respectively 56.1% were p16 positive, the agreement relationship between the two indicators was very high (weighted kappa: 0.951). The clinical performance of CINtec® PLUS triage for p16 shows a high positive predictive value (PPV) and a high negative predictive value (NPV) of 95.7% and 100%, respectively, as regards HPV. CONCLUSIONS: The p16 marker (CINtec® PLUS) can be used as a prognostic biomarker and provides clinical usefulness through increased sensitivity (Se) and specificity (Sp) in the triage of women at risk of developing precancerous lesions, compared to cytology that is based on morphology, but has a rather low Se and high Sp, while HPV testing is very sensitive but slightly more specific.

PAX1 and SOX1 Gene Methylation as a Detection and Triage Method for Cervical Intraepithelial Neoplasia Diagnosis.

INTRODUCTION: Methylation assays have demonstrated potential as dependable and high-precision approaches for identifying or triaging individuals with cervical cancer (CA) or cervical intraepithelial neoplasia (CIN). Our investigation aimed to assess the efficacy of the diagnosis and triage of the PAX1/SOX1 methylation panel in detecting CIN or CA. METHODS: A total of 461 patients with abnormal high-risk human papillomavirus (hrHPV) or cytology test results were recruited for this study. Each patient underwent an assortment of assessments, comprising a cytology test, hrHPV test, colposcopy examination, and PAX1 and SOX1 methylation tests. RESULTS: The extent of methylation of both genes demonstrates a positive correlation with the severity of CIN lesions and CA. To determine the correlation for patients with CIN2 or worse (CIN2+), the area under curve was 0.821 (95% CI: 0.782-0.853) for PAX1 and 0.800 (95% CI: 0.766-0.838) for SOX1, while for CIN3 or worse (CIN3+), 0.881 (95% CI: 0.839-0.908) for PAX1 and 0.867 (95% CI: 0.830-0.901) for SOX1. The PAX1/SOX1 methylation marker panel performed sensitivity and specificity of 77.16% and 91.67% for CIN2+, 84.76% and 90.50% for CIN3+, respectively. Regarding triaging hrHPV+ patients, the PAX1/SOX1 methylation test only referred 11.83% of the patients who are unnecessary for colonoscopy examination, which is comparatively lower than cytology, thereby signifying a promising triage strategy for hrHPV-positive women. Furthermore, we observed that the positive PAX1/SOX1 methylation test result for untreated CIN1 or fewer patients would result in a higher likelihood of progression upon a 24-month follow-up visit. CONCLUSION: The present investigation demonstrates that the PAX1/SOX1 methylation marker panel exhibits favorable diagnostic performance in CIN detection and holds the potential to be employed for individual CIN tests or hrHPV-positive triage.

Long-term prediction by DNA methylation of high-grade cervical intraepithelial neoplasia: Results of the ARTISTIC cohort.

Methylation markers have shown potential for triaging high-risk HPV-positive (hrHPV+) women to identify those at increased risk of invasive cervical cancer (ICC). Our aim was to assess the performance of the S5 DNA methylation classifier for predicting incident high-grade cervical intraepithelial neoplasia (CIN) and ICC among hrHPV+ women in the ARTISTIC screening trial cohort. The S5 classifier, comprising target regions of tumour suppressor gene EPB41L3 and L1 and L2 regions of HPV16, HPV18, HPV31, and HPV33, was assayed by pyrosequencing in archived hrHPV+ liquid-based samples from 343 women with high-grade disease (139 CIN2, 186 CIN3, and 18 ICC) compared to 800 hrHPV+ controls. S5 DNA methylation correlated directly with increasing severity of disease and inversely with lead time to diagnosis. S5 could discriminate between hrHPV+ women who developed CIN3 or ICC and hrHPV+ controls (p <.0001) using samples taken on average 5 years before diagnosis. This relationship was independent of cytology at baseline. The S5 test showed much higher sensitivity than HPV16/18 genotyping for identifying prevalent CIN3 (93% vs. 61%, p = .01) but lower specificity (50% vs. 66%, p <.0001). The S5 classifier identified most women at high risk of developing precancer and missed very few prevalent advanced lesions thus appearing to be an objective test for triage of hrHPV+ women. The combination of methylation of host and HPV genes enables S5 to combine the predictive power of methylation with HPV genotyping to identify hrHPV-positive women who are at highest risk of developing CIN3 and ICC in the future.

PCDHGB7 hypermethylation-based Cervical cancer Methylation (CerMe) detection for the triage of high-risk human papillomavirus-positive women: a prospective cohort study.

BACKGROUND: Implementation of high-risk human papillomavirus (hrHPV) screening has greatly reduced the incidence and mortality of cervical cancer. However, a triage strategy that is effective, noninvasive, and independent from the subjective interpretation of pathologists is urgently required to decrease unnecessary colposcopy referrals in hrHPV-positive women. METHODS: A total of 3251 hrHPV-positive women aged 30-82 years (median = 41 years) from International Peace Maternity and Child Health Hospital were included in the training set (n = 2116) and the validation set (n = 1135) to establish Cervical cancer Methylation (CerMe) detection. The performance of CerMe as a triage for hrHPV-positive women was evaluated. RESULTS: CerMe detection efficiently distinguished cervical intraepithelial neoplasia grade 2 or worse (CIN2 +) from cervical intraepithelial neoplasia grade 1 or normal (CIN1 -) women with excellent sensitivity of 82.4% (95% CI = 72.6 ~ 89.8%) and specificity of 91.1% (95% CI = 89.2 ~ 92.7%). Importantly, CerMe showed improved specificity (92.1% vs. 74.9%) in other 12 hrHPV type-positive women as well as superior sensitivity (80.8% vs. 61.5%) and specificity (88.9% vs. 75.3%) in HPV16/18 type-positive women compared with cytology testing. CerMe performed well in the triage of hrHPV-positive women with ASC-US (sensitivity = 74.4%, specificity = 87.5%) or LSIL cytology (sensitivity = 84.4%, specificity = 83.9%). CONCLUSIONS: PCDHGB7 hypermethylation-based CerMe detection can be used as a triage strategy for hrHPV-positive women to reduce unnecessary over-referrals. TRIAL REGISTRATION: ChiCTR2100048972. Registered on 19 July 2021.

Association of HLA class I and II genes with cervical cancer susceptibility in a Han Chinese population.

Cervical cancer (CC) is one of the leading causes of cancer-related death in females worldwide. Genome-wide association studies (GWASs) have identified CC-related susceptibility loci in HLA regions. To investigate the associations between HLA genes and cervical intraepithelial neoplasia (CIN) or cervical cancer (CC), six loci of HLA class I (HLA-A, -B, and -C) and II (HLA-DRB1, -DPB1, and -DQB1) were selected for genotyping, and the associations between these alleles or their haplotypes with CIN or CC risk or protection from disease were evaluated. In total, 2193 participants, including 909 healthy individuals in the control group, 769 patients with CC, and 515 patients with CIN2+ (CIN II and III), were enrolled in the current study. HLA genes were genotyped using the NGSgo Illumina MiSeq workflow, and the associations between these loci and CIN2+ or CC at the allele and haplotype levels were analyzed. The allele frequencies of HLA-A*33:03, B*58:01, C*03:02, DPB1*05:01, and DRB1*12:01 were lower in both the CC and CIN2+ groups than in the control group, whereas those of B*55:02, C*04:03, and DPB1*03:01 were higher in the CC group than in the control group. In the histologic CC type analysis, the differences in the frequencies of these alleles in squamous cell carcinoma (SCC) of the cervix and stage I CC showed a consistent trend. In the haplotype analysis, the frequency of A*33:03-C*03:02-B*58:01 was lower in the CC and CIN2+ groups than in the control group, and that of A*24:02-C*04:03-B*15:25 was higher in the CC group than in both the control and CIN2+ groups. These three different haplotype frequencies were also identified in the FIGO CC stage analysis. In addition, in human papilloma virus (HPV) genotype analyses, the frequencies of HLA-C*03:02 and DPB1*05:01 were significantly lower in the CC and CIN2+ groups than in the control group, and in SCC subgroup, the frequencies of HLA-DQB1*04:01 and DRB1*04:05 were higher in the HPV other genotype infection group than in the HPV16 infection group. In both HPV16 single infection and coinfection with other HPVs, the frequency of haplotype A*33:03-C*03:02-B*58:01 was lower in both CC and CIN2+ than in the control group, while the frequencies of A*11:01-C*14:02-B*51:01 and A*24:02-C*03:04-B*13:01 were higher in the CIN2+ than in CC and the control group. In the HPV16 and other HPV infection comparisons, the frequencies of DRB1*04:05-DQB1*04:01-DPB1*02:01 and DRB1*11:01-DQB1*03:01-DPB1*05:01 were lower in the HPV16 infection group than in the other HPV infection group. Our results suggest that the HLA class I and II genes may affect the risk of CIN and CC as well as the histologic CC types and FIGO stages of CC in the Han Chinese population. In addition, HLA genes were associated with HPV16 infection at both the allelic and haplotype levels.

Folate deficiency modifies the risk of CIN3+ associated with DNA methylation levels: a nested case-control study from the ASCUS-COL trial.

PURPOSE: To our knowledge, there are very few studies evaluating if the levels of folate modify the risk of cervical intraepithelial neoplasia grade 2 and higher (CIN2+ and CIN3+) associated with the levels of HPV genome methylation, two cofactors related to single carbon metabolism and independently associated with cervical cancer in previous studies. We conducted a case-control study nested in a three-arm randomized clinical pragmatic trial (ASCUS-COL trial) to evaluate the risk of CIN3+ associated with methylation levels according to serum folate concentrations. METHODS: Cases (n = 155) were women with histologically confirmed CIN2+ (113 CIN2, 38 CIN3, and 4 SCC) and controls were age and follow-up time at diagnosis-matched women with histologically confirmed ≤ CIN1 (n = 155), selected from the 1122 hrHPV + women of this trial. The concentrations of serum folate were determined by the radioimmunoassay SimulTRAC-SNB-VitaminB12/Folate-RIAKit and the methylation levels by the S5 classifier. Stepwise logistic regression models were used to estimate the association between folate or methylation levels and CIN2+ or CIN3+. The joint effect of folate levels and methylation on the risk of CIN3+ was estimated using combinations of categorical stratifications. RESULTS: Folate levels were significantly lower in women with CIN3+ than in other diagnostic groups (p = 0.019). The risk of CIN3+ was eight times higher (OR 8.9, 95% CI 3.4-24.9) in women with folate deficiency and high methylation levels than in women with normal folate and high methylation levels (OR 1.4, 95% CI 0.4-4.6). CONCLUSION: High methylation and deficient folate independently increased the risk of CIN3+ while deficient folate combined with high methylation was associated with a substantially elevated risk of CIN3+.

Cervicovaginal microbiota disorder combined with the change of cytosine phosphate guanine motif- toll like receptor 9 axis was associated with cervical cancerization.

BACKGROUND: Convincing studies demonstrated that cervicovaginal microbiota disorder and toll-like receptor 9 (TLR9) high expression were related to cervical carcinogenesis. However, the effects of cervicovaginal microbiota integration TLR9 in cervical cancerization are unclear. Based on the biological basis that unmethylated cytosine-phosphate-guanine (CpG) motifs of bacteria could activate TLR9, we explored the effects of cervicovaginal microbiota disorder and CpG motif-TLR9 axis change in cervical carcinogenesis. METHODS: A total of 341 participants, including 124 normal cervical (NC), 90 low-grade cervical intraepithelial neoplasia (CIN1), 78 high-grade cervical intraepithelial neoplasia (CIN2/3) and 49 squamous cervical cancer (SCC), diagnosed by pathology were enrolled in the study. Here, metagenomic shotgun sequencing was used to reveal cervicovaginal microbiota characteristics, and TLR9 protein was detected by western blotting. RESULTS: Our results showed that the diversity of cervicovaginal microbiota gradually increased along with the poor development of cervical lesions, showing the abundance of Lactobacillus crispatus and Lactobacillus iners decreased, while the abundance of pathogenic bacteria gradually increased. The level of TLR9 expression was gradually increased with cervicovaginal microbiota diversity increasing, the abundance of Lactobacillus decreasing, and we found a positive correlation dependency relationship (r = 0.384, P = 0.002) between TLR9 and GTCGTT motif content. Stratified analysis based on HPV16 infection, we found that the characteristics of cervicovaginal microbiota and increased TLR9 expression were also closely related to HPV16 infection. CONCLUSIONS: Cervicovaginal microbiota dysbiosis might lead to the CpG motif increased, which was closely associated with TLR9 high expression, and ultimately might promote the progression of cervical lesions.

¿Está la virtud en el punto medio? La incertidumbre del CIN2 y el papel del VPH / Is virtue at the midpoint? The uncertainty of CIN2 and the role of HPV

Objetivo: La biopsia guiada por colposcopia (BGC) marca el manejo de la neoplasia intraepitelial cervical. El objetivo de este estudio fue evaluar la concordancia de los resultados entre la BGC y la escisión amplia de la zona de transformación (LLETZ, large loop excision of the transformation zone), y la utilidad del genotipado del virus del papiloma humano (VPH) para seleccionar a las pacientes con riesgo de lesión intraepitelial escamosa de alto grado/neoplasia intraepitelial cervical 3 (HSIL/CIN3). Método: Se compararon los resultados de la BGC y de la LLETZ, siendo esta última el método de referencia. Se evaluó la relación del genotipo del VPH con el diagnóstico final de HSIL/CIN3. Resultados: La precisión de la biopsia comparada con LLETZ fue del 61,4%. La tasa de concordancia fue del 64,4% para CIN1, del 31,4% para CIN2 y del 77,4% para CIN3. La tasa global de sobrediagnóstico fue del 18,68% y la de subdiagnóstico del 19,89%. En mujeres menores de 30 años, la concordancia fue del 62,79% (CIN1 65%, CIN2 39,58% y CIN3 73,08%), la tasa de sobrediagnóstico del 22,67% y la tasa de subdiagnóstico del 15,11%. La infección por VPH16 tuvo una odds ratio de 3,86 para el diagnóstico final de HSIL/CIN3+. Conclusiones: El diagnóstico de CIN2 por BGC parece insuficiente para seleccionar a las pacientes para tratamiento escisional, principalmente en mujeres jóvenes. El hallazgo de VPH16 es un factor de riesgo de HSIL/CIN3+ independientemente del resultado de la biopsia.

Objective: Colposcopy-guided biopsy (CGB) is a basic tool for the management of cervical intraepithelial neoplasia. The aim of this study is to evaluate the concordance of results between CGB and large loop excision of the transformation zone (LLETZ), and the usefulness of human papillomavirus (HPV) genotyping to select patients at risk of H-SIL/CIN3. Method: The results of colposcopy-guided biopsy and LLETZ were compared, with LLETZ being the gold standard. The relationship of HPV genotype to the final diagnosis of CIN3 was assessed. Results: The accuracy of CGB compared to LLETZ was 61.4%. The concordance rate was 64.4% for CIN1, 31.4% for CIN2 and 77.4% for CIN3. The overall overdiagnosis rate was 18.68% and underdiagnosis rate was 19.89%. In women under 30 years of age the concordance rate was 62.79% (CIN1 65%, CIN2 39.58% and CIN3 73.08%), and the rate of overdiagnosis and underdiagnosis was 22.67% and 15.11%, respectively. HPV16 infection had an odds ratio of 3.86 for the final diagnosis of CIN3+ and the result was significant regardless of the biopsy result. Conclusions: The CGB result as CIN2 is inaccurate and seems insufficient to select patients for excisional treatment, mainly in young women. HPV16 infection is a risk factor for CIN3+ regardless of the colposcopy-guided biopsy result.

NOVAprep-miR-Cervix: New Method for Evaluation of Cervical Dysplasia Severity Based on Analysis of Six miRNAs.

Cervical cancer is one of the most common gynecological malignancies and it is preventable through the yearly diagnosis and management of pre-cancerous cervical disease. The profile of miRNA expression in cervical epithelium cells is altered with cervical dysplasia development and further progression. The NOVAprep-miR-CERVIX is a new approach for the assessment of cervical dysplasia through the analysis of six marker miRNAs. This study aims to evaluate theperformance and diagnostic potency of the new method. Cytological smears from 226 women (NILM, n.114; HSIL, n.112) were included in the study. A VPH test was performed with RealBest DNAHPV HR screen Kit, six marker miRNAs (miR-21, -29b, -145, -451a, -1246, -1290) were assayed using NOVAprep-miR-CERVIX kit. Obtained data were analyzed using the Delta Ct method and random forest machine learning algorithm. The results of the quantitative analysis of six microRNAs were expressed as a miR-CERVIX parameter, which ranged from 0 to 1, where "0" corresponded to the healthy cervical epithelium, while "1" corresponded to high-grade squamous intraepithelial dysplasia. The average value of miR-CERVIX differed in groups of NILM and HSIL samples (0.34 vs. 0.72; p < 0.000005). An estimation of miR-CERVIX allowed for the differentiation between healthy and pre-cancerous samples with sensitivity of 0.79 and specificity of 0.79, as well as to confirm HSIL with specificity of 0.98. Interestingly, the HSIL group included HPV(+) and HPV(-) samples, which were statistically significantly different in terms of miR-CERVIX value. Analysis of CC-associated miRNAs in material of cervical smear might serve as an additional method for the evaluation of cervical dysplasia severity.

Identification of a methylation panel as an alternative triage to detect CIN3+ in hrHPV-positive self-samples from the population-based cervical cancer screening programme.

BACKGROUND: The Dutch population-based cervical cancer screening programme (PBS) consists of primary high-risk human papilloma virus (hrHPV) testing with cytology as triage test. In addition to cervical scraping by a general practitioner (GP), women are offered self-sampling to increase participation. Because cytological examination on self-sampled material is not feasible, collection of cervical samples from hrHPV-positive women by a GP is required. This study aims to design a methylation marker panel to detect CIN3 or worse (CIN3+) in hrHPV-positive self-samples from the Dutch PBS as an alternative triage test for cytology. METHODS: Fifteen individual host DNA methylation markers with high sensitivity and specificity for CIN3+ were selected from literature and analysed using quantitative methylation-specific PCR (QMSP) on DNA from hrHPV-positive self-samples from 208 women with CIN2 or less (< CIN2) and 96 women with CIN3+. Diagnostic performance was determined by area under the curve (AUC) of receiver operating characteristic (ROC) analysis. Self-samples were divided into a train and test set. Hierarchical clustering analysis to identify input methylation markers, followed by model-based recursive partitioning and robustness analysis to construct a predictive model, was applied to design the best marker panel. RESULTS: QMSP analysis of the 15 individual methylation markers showed discriminative DNA methylation levels between < CIN2 and CIN3+ for all markers (p < 0.05). The diagnostic performance analysis for CIN3+ showed an AUC of ≥ 0.7 (p < 0.001) for nine markers. Hierarchical clustering analysis resulted in seven clusters with methylation markers with similar methylation patterns (Spearman correlation> 0.5). Decision tree modeling revealed the best and most robust panel to contain ANKRD18CP, LHX8 and EPB41L3 with an AUC of 0.83 in the training set and 0.84 in the test set. Sensitivity to detect CIN3+ was 82% in the training set and 84% in the test set, with a specificity of 74% and 71%, respectively. Furthermore, all cancer cases (n = 5) were identified. CONCLUSION: The combination of ANKRD18CP, LHX8 and EPB41L3 revealed good diagnostic performance in real-life self-sampled material. This panel shows clinical applicability to replace cytology in women using self-sampling in the Dutch PBS programme and avoids the extra GP visit after a hrHPV-positive self-sampling test.

Contribution of HLA-G and FOXP3 genes and proteins in the severity of cervical intraepithelial neoplasia during HPV infection.

Human Papillomavirus (HPV) persistence leads to the chronification of cervical inflammation, where HLA-G and Foxp3; immunomodulatory molecules, may contribute to the aggravation of the lesion and cancerization. Here, we evaluated the synergic effect of these two molecules in the worsening of the lesion in presence of HPV infection. Hundred and eighty (180) women cervical cells and biopsies were collected for (i) HLAG Sanger sequencing and gene expression, and (ii) HLA-G and Foxp3 molecule expressions by immunohistochemistry. 53 women were HPV+ against 127 women HPV-. HPV+ women were more at risk of having cytological changes (p ≤ 0.0123), histological changes (p < 0.0011), and cervical lesion (p = 0.0004). The HLA-G + 3142CC genotype predisposed women to infection (p = 0.0190), while HLA-G + 3142C and +3035 T alleles were associated with HLA-G5 transcript expression. Both sHLA-G (p = 0.030) and Foxp3 (p = 0.0002) proteins were higher in cervical lesion as well as in high-grade lesion. In addition, sHLA-G+ cells were positively correlated to Foxp3+ cells in presence of HPV infection and in cervical grade II/III injuries. In conclusion, HPV may use HLA-G and Foxp3 as a way of host immune escape contributing to the persistence of infection and inflammation, leading to the cervical lesion and the worsening of lesions.

Association of MicroRNA-10b Expression and P16 with Pathological Features in Various Stages of Cervical Precancerous Lesions.

Cervical cancer is the fourth most prevalent cancer for females with 14,100 new cases each year globally. Efficient screening and intervention at the precancerous stage is the key point to the prevention and treatment of cervical cancer. However, no widely recognized biomarkers have been discovered yet. We investigated the expression of miR-10b in cervical cells and its correlation with clinicopathological features in different pathological grades of cervical precancerous lesions. The expression of miR-10b in cervical cytology samples from 20 cases of LSIL, 22 cases of HSIL, 18 cases of early-stage cervical cancer, and 20 cases of cervicitis controls were assessed using qPCR. From the same cervical cytology samples, the human papillomavirus (HPV) load was assessed using semi-PCR and the lesion size, and gland involvement levels from the same subjects were assessed during the cervical examination. The correlation between miR-10b expression and different pathological grades of cervical lesions was analyzed. We also calculated the correlation between HPV load, lesion size, gland involvement, P16 expression, and different pathological grades. The expression of miR-10b exhibited a step-decreasing manner from cervicitis control (4.23(4.00,4.71)) to LSIL (2.67(2.52,2.90)), HSIL (1.49(1.30,1.80)) and cervical cancer group (0.65(0.55,0.80)). There is a significant difference (P<0.001) between cervicitis and HSIL, cervicitis and cervical cancer, ISIL and HSIL, as well as ISIL and cervical cancer but not between the cervicitis group and the LSIL group. In addition, more severe pathological grades were correlated with a bigger rate of gland involvement (P＜0.001). We also found that different pathological grades were correlated with the intensity of P16 expression (P=0.001), and the intensity of P16 expression is positively correlated with different pathological grades (P<0.05). Repressed expression of miR-10b is related to the progression of cervical precancerous lesions. Increased gland involvement rate and increased intensity of P16 expression are risk factors for developing cervical cancers. Our result showed that miR-10b may be a potential biomarker for the screening and ranking of cervical precancerous lesions.

Quality Control of Biospecimens in a Danish Clinical Cytology Biobank.

Introduction: Based on the experience from a Swedish biobank, we established a clinical cervical cytology biobank and adapted it to a Danish setting. The aim of the present study was to validate the biobank material regarding quality and quantity, to determine the usefulness of the material for future diagnostics and biomarker testing. Methods: Cervical cytology samples collected in ThinPrep were analyzed before and after biobanking using p16/ki-67 dual staining, a human papillomavirus (HPV) DNA test (Cobas), and a test for HPV messenger RNA (mRNA; Aptima). The concordance of the test results before and after biobanking was assessed. We also evaluated the morphology before and after biobanking and did additional tests on the biobanked material to qualify the usefulness of the material (library preparation for next-generation sequencing [NGS], reverse transcription-polymerase chain reaction [RT-PCR], and the Inno-Lipa HPV genotyping test). Results: For the Cobas HPV test, the concordance was 92% (122/133), and for the Inno-Lipa test (30 samples), it was 100%. For the Aptima assay, the concordance was a little lower, 84% (42/50). The morphology of the cell was well preserved, and the concordance of the p16/ki-67 dual staining was 88% (37/42). The functional tests showed that DNA-based NGS libraries (TST15 panel; Illumina) had good quality parameters. However, with the RT-PCR, 12% of the samples showed poor quality and a too low input amount for the analysis. Conclusion: The quality of the biobanked samples is high, and the material is suitable for testing of DNA, RNA, and protein. However, for testing of specific biomarkers, pilot studies are recommended to ensure sufficient input amount and quality of the material, especially for RNA-based studies.

DNA methylation-based detection and prediction of cervical intraepithelial neoplasia grade 3 and invasive cervical cancer with the WID™-qCIN test.

BACKGROUND: Cervical screening using primary human papilloma virus (HPV) testing and cytology is being implemented in several countries. Cytology as triage for colposcopy referral suffers from several shortcomings. HPV testing overcomes some of these but lacks specificity in women under 30. Here, we aimed to develop and validate an automatable triage test that is highly sensitive and specific independently of age and sample heterogeneity, and predicts progression to CIN3+ in HPV+ patients. RESULTS: The WID™-qCIN, assessing three regions in human genes DPP6, RALYL, and GSX1, was validated in both a diagnostic (case-control) and predictive setting (nested case-control), in a total of 761 samples. Using a predefined threshold, the sensitivity of the WID™-qCIN test was 100% and 78% to detect invasive cancer and CIN3, respectively. Sensitivity to detect CIN3+ was 65% and 83% for women < and ≥ 30 years of age. The specificity was 90%. Importantly, the WID™-qCIN test identified 52% of ≥ 30-year-old women with a cytology negative (cyt-) index sample who were diagnosed with CIN3 1-4 years after sample donation. CONCLUSION: We identified suitable DNAme regions in an epigenome-wide discovery using HPV+ controls and CIN3+ cases and established the WID™-qCIN, a PCR-based DNAme test. The WID™-qCIN test has a high sensitivity and specificity that may outperform conventional cervical triage tests and can in an objective, cheap, and scalable fashion identify most women with and at risk of (pre-)invasive cervical cancer. However, evaluation was limited to case-control settings and future studies will assess performance and generalisability in a randomised controlled trial.

Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker.

BACKGROUND: Cervical squamous cell carcinoma (SCC) is known to arise through increasingly higher-grade squamous intraepithelial lesions (SILs) or cervical intraepithelial neoplasias (CINs). This study aimed to describe sequential molecular changes and identify biomarkers in cervical malignant transformation. METHODS: Multidimensional data from five publicly available microarray and TCGA-CESC datasets were analyzed. Immunohistochemistry was carried out on 354 cervical tissues (42 normal, 62 CIN1, 26 CIN2, 47 CIN3, and 177 SCC) to determine the potential diagnostic and prognostic value of identified biomarkers. RESULTS: We demonstrated that normal epithelium and SILs presented higher molecular homogeneity than SCC. Genes in the region (e.g., 3q, 12q13) with copy number alteration or HPV integration were more likely to lose or gain expression. The IL-17 signaling pathway was enriched throughout disease progression with downregulation of IL17C and decreased Th17 cells at late stage. Furthermore, we identified AURKA, TOP2A, RFC4, and CEP55 as potential causative genes gradually upregulated during the normal-SILs-SCC transition. For detecting high-grade SIL (HSIL), TOP2A and RFC4 showed balanced sensitivity (both 88.2%) and specificity (87.1 and 90.1%), with high AUC (0.88 and 0.89). They had equivalent diagnostic performance alone to the combination of p16INK4a and Ki-67. Meanwhile, increased expression of RFC4 significantly and independently predicted favorable outcomes in multi-institutional cohorts of SCC patients. CONCLUSIONS: Our comprehensive study of gene expression profiling has identified dysregulated genes and biological processes during cervical carcinogenesis. RFC4 is proposed as a novel surrogate biomarker for determining HSIL and HSIL+, and an independent prognostic biomarker for SCC.

Expression of GMFB in High-Grade Cervical Intraepithelial Neoplasia and Its Role in Cervical Cancer.

Cervical intraepithelial neoplasia (CIN) is a collective term for specific precancerous lesions associated with cervical cancer (CC). Although it has been affirmed with slow development of several levels of cellular changes, the existing poor prognosis calls for an urgent need to diagnose CIN at early stage and be aware of markers related to its pathogenesis and prognosis. We explored the expression level of a newly marker GMFB and its regulatory effect on CIN and CC. Patient samples and cell models were included. Bioinformatic studies were taken to predict its binding to miR-143-3p, miR-26b-5p, miR-191-5p, and miR-223-3p. Luciferase reporter and RNA pull-down assays were used to validate the prediction. Edu assay and flow cytometry were used to measure the regulation of GMFB on proliferation and apoptosis of CC cells. qRT-PCR was used for mRNA expression level detection. The results showed that GMFB was targeted by miR-143-3p, miR-26b-5p, miR-191-5p, and miR-223-3p. It had elevated expression in both CIN and CC samples. GMFB had highly prognostic value for CIN, and lymph node metastasis of CC was much associated with high GMFB expression level. Besides, silencing of GMFB inhibited CC cell proliferation and elevated cell apoptosis. In conclusion, we determined that GMFB has regulatory effect on high grade CIN and CC, which could lighten a novel way in exploring their pathogenesis and improving accuracy of prognosis.

Identification of Malignancy in PAP Smear Samples Using the CGB3 and NOP56 Genes as Methylation Markers.

BACKGROUND: Although various improvements have been made in the reporting of the Papanicolaou (PAP) test in recent years, there remain several challenges that have yet to be addressed in terms of determining a standardized methodology for categorizing atypical squamous cells of undetermined significance (ASC US). METHODS: The present study focuses on evaluating the performance of the methylation status of two genes (CGB3 and NOP56) using a total of 200 PAP samples, which were divided into the "determined" group, with 78 samples based on cytology, and the "undetermined" group (ASC US), with 122 samples. The promoter methylation status of the CGB3 and NOP56 genes was detected for the 200 PAP samples using methylation specific PCR (MSP). The diagnostic abilities of the CGB3 and NOP56 genes in PAP samples were measured, and receiver operating characteristic (ROC) curves were generated using Python programming language. RESULTS: Based on the validation of CGB3 and NOP56 methylation in the 200 PAP samples, both genes exhibited higher methylation percentages in abnormal samples compared with normal samples. In addition, on the basis of diagnostic performance analysis, the CGB3 gene exhibited the highest sensitivity and specificity in both histology based ASC US and cytology based 'determined' PAP samples, with significant diagnostic abilities [area under the curve (AUC) values of 0.83 and 0.74, respectively, where AUC ≥0.5 was determined to be significant] to distinguish between the "normal" and "abnormal" samples. CONCLUSION: The findings of the present study will contribute toward identifying a DNA methylation marker for the early detection of abnormal samples before they reach the initial stages of cervical cancer, and should prove to be helpful for clinicians in terms of diagnosing patients whose cells are ASC US.
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The WID-CIN test identifies women with, and at risk of, cervical intraepithelial neoplasia grade 3 and invasive cervical cancer.

BACKGROUND: Cervical screening is transitioning from primary cytology to primary human papillomavirus (HPV) testing. HPV testing is highly sensitive but there is currently no high-specificity triage method for colposcopy referral to detect cervical intraepithelial neoplasia grade 3 or above (CIN3+) in women positive for high-risk (hr) HPV subtypes. An objective, automatable test that could accurately perform triage, independently of sample heterogeneity and age, is urgently required. METHODS: We analyzed DNA methylation at ~850,000 CpG sites across the genome in a total of 1254 cervical liquid-based cytology (LBC) samples from cases of screen-detected histologically verified CIN1-3+ (98% hrHPV-positive) and population-based control women free from any cervical disease (100% hrHPV-positive). Samples were provided by a state-of-the-art population-based cohort biobank and consisted of (i) a discovery set of 170 CIN3+ cases and 202 hrHPV-positive/cytology-negative controls; (ii) a diagnostic validation set of 87 CIN3+, 90 CIN2, 166 CIN1, and 111 hrHPV-positive/cytology-negative controls; and (iii) a predictive validation set of 428 cytology-negative samples (418 hrHPV-positive) of which 210 were diagnosed with CIN3+ in the upcoming 1-4 years and 218 remained disease-free. RESULTS: We developed the WID-CIN (Women's cancer risk IDentification-Cervical Intraepithelial Neoplasia) test, a DNA methylation signature consisting of 5000 CpG sites. The receiver operating characteristic area under the curve (AUC) in the independent diagnostic validation set was 0.92 (95% CI 0.88-0.96). At 75% specificity (≤CIN1), the overall sensitivity to detect CIN3+ is 89.7% (83.3-96.1) in all and 92.7% (85.9-99.6) and 65.6% (49.2-82.1) in women aged ≥30 and <30. In hrHPV-positive/cytology-negative samples in the predictive validation set, the WID-CIN detected 54.8% (48.0-61.5) cases developing 1-4 years after sample donation in all ages or 56.9% (47.6-66.2) and 53.5% (43.7-63.2) in ≥30 and <30-year-old women, at a specificity of 75%. CONCLUSIONS: The WID-CIN test identifies the vast majority of hrHPV-positive women with current CIN3+ lesions. In the absence of cytologic abnormalities, a positive WID-CIN test result is likely to indicate a significantly increased risk of developing CIN3+ in the near future.