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:Interventions: Group 1: A PAP smear and HPV will be taken in women with inflammatory bowel disease
Primary outcome(s): Frequency of Cervical intraepithelial neoplasia and human paplloma Virus in women with inflammatory bowel disease
Study Design: Allocation: ; Masking: ; Control: ; Assignment: ; Study design purpose: diagnostic
Project description:In this study, small RNAs were isolated from individual donations of eight forensically relevant biological fluids (blood, semen, vaginal fluid, menstrual blood, saliva, urine, feces, and perspiration) and subjected to next generation sequencing using the Illumina® Hi-Seq platform. Sequencing reads were aligned and annotated against miRbase release 21, resulting in a list of miRNAs and their relative expression levels for each sample analyzed. Body fluids with high bacterial loads (vaginal fluid, saliva, and feces) yielded relatively low annotated miRNA counts, likely due to oversaturation of small RNAs from the endogenous bacteria. Both body-fluid specific and potential normalization miRNAs were identified for further analysis as potential body fluid identification tools for each body fluid. 32 samples - 3-5 replicates of each human biological fluid: venous blood, urine, semen (normal and vasectomized), vaginal secretions, menstrual secretions, perspiration, feces, saliva
