TMEM45A, SERPINB5 and p16INK4A transcript levels are predictive for development of high-grade cervical lesions
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ABSTRACT: Women persistently infected with human papillomavirus (HPV) type 16 are at high risk for development of cervical intraepithelial neoplasia grade 3 or cervical cancer (CIN3+). We aimed to identify biomarkers for progression to CIN3+ in women with persistent HPV16 infection. In this prospective study, 11,088 women aged 20–29 years were enrolled during 1991-1993, and re-invited for a second visit two years later. Cervical cytology samples obtained at both visits were tested for HPV DNA by Hybrid Capture 2 (HC2), and HC2-positive samples were genotyped by INNO-LiPA. The cohort was followed for up to 19 years via a national pathology register. To identify markers for progression to CIN3+, we performed microarray analysis on RNA extracted from cervical swabs of 30 women with persistent HPV16-infection and 11 HPV-negative women. After further validation, we found that high mRNA expression levels of TMEM45A, SERPINB5 and p16INK4a were associated with increased risk of CIN3+ in persistently HPV16-infected women.
Project description:Women persistently infected with human papillomavirus (HPV) type 16 are at high risk for development of cervical intraepithelial neoplasia grade 3 or cervical cancer (CIN3+). We aimed to identify biomarkers for progression to CIN3+ in women with persistent HPV16 infection. In this prospective study, 11,088 women aged 20â29 years were enrolled during 1991-1993, and re-invited for a second visit two years later. Cervical cytology samples obtained at both visits were tested for HPV DNA by Hybrid Capture 2 (HC2), and HC2-positive samples were genotyped by INNO-LiPA. The cohort was followed for up to 19 years via a national pathology register. To identify markers for progression to CIN3+, we performed microarray analysis on RNA extracted from cervical swabs of 30 women with persistent HPV16-infection and 11 HPV-negative women. After further validation, we found that high mRNA expression levels of TMEM45A, SERPINB5 and p16INK4a were associated with increased risk of CIN3+ in persistently HPV16-infected women. We aimed at identifying genes differentially expressed in women with persistent HPV16 infection that either progressed to CIN3+ or not. As a test of principle we first compared HPV16 persistently infected women with HPV-negative women.
Project description:Human papillomavirus (HPV) infection related malignancy remains a severe public health problem worldwide, although HPV prophylactic vaccine has been introduced 15 years ago . HPV-associated cancers comprise 29.1% of all 2.2 million infection-related cancers, including nearly 100% of cervical cancers1 and some head and neck cancers . Cervical cancers are the 3rd most common cancer in women worldwide, HPV16 and 18 account for about 70% of cervical cancers. Moreover, high-risk HPV infection, especially HPV16 infection, is related to a proportion of head and neck epithelial carcinoma in both developed and undeveloped countries. HPV related cancers are most severe in developing countries where HPV prophylactic vaccination rates are low.In this project, we use iTRAQ8plex-labelling proteomics to comparatively study the protein contents in the tumour tissues of early and late stage cervical cancer patietns.
Project description:Offering self-sampling for HPV testing improves the effectiveness of current cervical screening programs. Molecular triage markers directly applicable on self-samples are needed to further stratify HPV-positive women at risk of cervical cancer (so-called triage) and to avoid over-referral and overtreatment. MicroRNAs (miRNAs) deregulation has been implicated in the development of cervical cancer, and represents a potential class of triage markers. However, it is unknown whether deregulated miRNA expression is reflected in self-samples. This study is the first to establish genome-wide miRNA profiles in HPV-positive self-samples to identify miRNAs that can predict the presence of CIN3 and cervical cancer in self-samples. Small RNA sequencing (sRNA-Seq) was conducted to determine genome-wide miRNA expression profiles in 73 HPV-positive self-samples of women with and without cervical precancer (CIN3). The optimal miRNA marker panel for CIN3 detection was determined by GRidge, a penalized method on logistic regression. Classification of sRNA-Seq data yielded a panel of 9 miRNAs with a combined Area Under the Curve (AUC) of 0.89 for CIN3 detection. Six out of nine miRNAs were validated by qPCR in 165 independent HPV-positive self-samples and resulted in a combined AUC of 0.72 for CIN3+ detection. This study shows that deregulated miRNA expression associated with CIN3 and cervical cancer development can be detected in HPV-positive self-samples using genome-wide miRNA profiling. Further validation by qPCR indicates that miRNA expression analysis offers a promising novel molecular triage strategy for CIN3 and cervical cancer detection applicable to self-samples.
Project description:Background: Offering self-sampling of cervico-vaginal material for human papillomavirus (HPV) testing is an effective method to increase the coverage in cervical screening programmes. Molecular triage directly on HPV-positive self-samples for colposcopy referral opens the way to full molecular cervical screening. Here, we set out to identify a methylation classifier for detection of precancer (CIN3) or cancer, applicable to self-samples obtained by different devices. Findings: Genome-wide DNA methylation profiling of HPV-positive self-samples revealed 12 methylation targets for CIN3 detection. Multiplex quantitative methylation-specific PCR of these targets yielded a 3-gene methylation classifier (ASCL1, LHX8 and ST6GALNAC5), showing a very good clinical performance for CIN3 detection in both lavage (AUC=0.88; sensitivity=74%; specificity=79%) and brush (AUC=0.90; sensitivity=88%; specificity=81%) self-samples in the validation set. All self-samples from women with cervical cancer scored methylation-positive. Conclusion: By genome-wide DNA methylation profiling on self-samples, we identified a highly effective 3-gene methylation classifier for direct triage on self-samples from HPV-positive women.
Project description:Persistent infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancer and a subset of anogenital and head and neck squamous cell carcinomas. Abnormal expression of cellular microRNAs (miRNAs) plays an important role in the development of cancer, including HPV-related tumors. MiRNA expression profile was investigated by microrray analysis in the HPV-positive cervical cancer cell lines SiHa (HPV16-positive cell line derived from a cervical squamous cell carcinoma), CaSki (HPV16-positive cell line derived from a metastatic cervical epidermoid carcinoma), and HeLa (HPV18-positive cell line derived from a cervical adenocarcinoma) and compared with primary HFKs and C33a (HPV-negative cervical cell line).
Project description:The aim of this study was to identify new candidate genes that are differentially methylated in squamous cell carcinoma compared to the DNA samples from cervical intraepithelial neoplasia grade 3 (CIN3) and normal cervical scrapes. The Illumina Infinium Human Methylation 450 K BeadChip method identifies genome-wide DNA methylation changes in CpG islands, CpG shores and shelves. In this study 20 normal cervical samples (HPV negative), 18 samples with CIN3 lesions (HPV positive) and 6 cervical cancer tissues (HPV positive) were included.
Project description:It is well known that high-risk human papilloma virus (HR-HPV) infection is strongly associated with cervical cancer and E7 was identified as one of the key initiators in HPV-mediated carcinogenesis. Here we show that lactate dehydrogenase A (LDHA) preferably locates in the nucleus in HPV16-positive cervical tumors due to E7-induced intracellular reactive oxygen species (ROS) accumulation. Surprisingly, nuclear LDHA gains a non-canonical enzyme activity to produce α-hydroxybutyrate and triggers DOT1L (disruptor of telomeric silencing 1-like)-mediated histone H3K79 hypermethylation, resulting in the activation of antioxidant responses and Wnt signaling pathway. Furthermore, HPV16 E7 knocking-out reduces LDHA nuclear translocation and H3K79 tri-methylation in K14-HPV16 transgenic mouse model. HPV16 E7 level is significantly positively correlated with nuclear LDHA and H3K79 tri-methylation in cervical cancer. Collectively, our findings uncover a non-canonical enzyme activity of nuclear LDHA to epigenetically control cellular redox balance and cell proliferation facilitating HPV-induced cervical cancer development.
Project description:Epigenetic alterations are essential in the development of cancers, while epigenome-wide exploration in cervical cancer has been limited. In this epigenome-wide association study (EWAS) we explore differential DNA methylation signatures associated with CIN (cervical intraepithelial neoplasia) grade 3 and cervical cancer, to better understand potential drivers and biomarkers of cervical carcinogenesis. 247 women were recruited between 2014-2020 (N=119 benign, N=74 CIN3/CGIN (cervical glandular intraepithelial neoplasia) and N=54 cancer). Methylation signatures were obtained from exfoliated cervical cells and sequenced using the Illumina 850k array. Logistic regression and conditional analyses were used to test for independent associations between Cytosine-phosphate-Guanine (CpG) sites and case-control status, with adjustment for batch, chip, age, and human papillomavirus (HPV) status. 409 CpG sites were strongly associated with CIN3/cancer (P-value <5x10-8). Following conditional analysis, two CpG sites located in PAX1 (cg16767801) and NREP-AS1 genes (cg23642047) were independently associated with case status; yielding an area under the curve (AUC) of 0.92 (AUC=0.97 for invasive disease). In a validation dataset (CIN3 only) PAX1/NREP-AS1 yielded a combined AUC of 0.77. Methylation markers offer promise for use in cervical screening particularly as triage tests and self-sampling. We have identified a novel combined methylation marker that offers a high accuracy for detection of CIN3 or worse.
Project description:High-grade cervical intraepithelial neoplasia (CIN2/3) represents a heterogeneous disease both with respect to clinical behaviour and chromosomal aberrations detected. We hypothesized that the extent of chromosomal aberrations reflects the duration of their existence. Chromosomal profiles were determined of CIN3 of women with a known 5 year history of high-risk human papillomavirus virus (hrHPV) infection, in which duration of prior hrHPV infection was considered a proxy for duration of CIN3 existence. Eleven women had a <5 year preceding hrHPV infection (CIN3<5yrPHI) and 24 had a PHI lasting ≥5 years (CIN3≥5yrPHI). For comparison, 6 CIN3 adjacent to squamous cell carcinomas (CIN3-SCC), the corresponding SCCs, and 6 CIN1 were included. Unsupervised hierarchical clustering analysis of the chromosomal profiles revealed two clusters. One was characterized by a low number of chromosomal aberrations and included all CIN1, 81.8% of CIN3<5yrPHI and 33.3% of CIN3≥5yrPHI. Samples in the second cluster, displaying multiple aberrations, included 18.2% of CIN3<5yrPHI, 66.7% CIN3≥5yrPHI, all except one CIN3-SCC and all SCCs. The number of genomic aberrations increased according to lesion grade and also with longer duration of PHI. The increase in aberrations in CIN3≥5yrPHI compared to <5yrPHI was highly significant (p=0.001), suggesting that CIN3≥5yrPHI represent more severe lesions. A longer duration of preceding hrHPV infection is associated with an increased number of chromosomal aberrations. Hence, CIN3 with a longer duration of existence are likely more prone to have an increased short-term risk of cervical cancer.
Project description:Cervical cancer is the fourth most common cancer among women worldwide and screening pro-grams increase detection rate and survivability. Molecular screening of presence of human papil-loma viruses (HPV) as alternatives to physical examinations offers cost-efficient solutions and can be performed on self-collected samples. A persistent infection with HPV is necessary but not sufficient to develop cancer and additional biomarkers are needed to increase the precision. We have analyzed protein biomarkers found in self-collected dried cervico-vaginal fluid (CVF) from both controls and women with cervical cancer pre-stages.