The GEnetic Syntax Score: a genetic risk assessment implementation tool grading the complexity of coronary artery disease-rationale and design of the GESS study.

BACKGROUND: Coronary artery disease (CAD) remains one of the leading causes of mortality worldwide and is associated with multiple inherited and environmental risk factors. This study is designed to identify, design, and develop a panel of genetic markers that combined with clinical and angiographic information, will facilitate the creation of a personalized risk prediction algorithm (GEnetic Syntax Score-GESS). GESS score could be a reliable tool for predicting cardiovascular risk for future adverse events and for guiding therapeutic strategies. METHODS: GESS (ClinicalTrials.gov Identifier: NCT03150680) is a prospective, non-interventional clinical study designed to enroll 1080 consecutive patients with no prior history of coronary revascularization procedure, who undergo scheduled or emergency coronary angiography in AHEPA, University General Hospital of Thessaloniki. Next generation sequencing (NGS) technology will be used to genotype specific single-nucleotide polymorphisms (SNPs) across the genome of study participants, which were identified as clinically relevant to CAD after extensive bioinformatic analysis of literature-based SNPs. Enrichment analyses of Gene Ontology-Molecular Function, Reactome Pathways and Disease Ontology terms were also performed to identify the top 15 statistically significant terms and pathways. Furthermore, the SYNTAX score will be calculated for the assessment of CAD severity of all patients based on their angiographic findings. All patients will be followed-up for one-year, in order to record any major adverse cardiovascular events. DISCUSSION: A group of 228 SNPs was identified through bioinformatic and pharmacogenomic analysis to be involved in CAD through a wide range of pathways and was correlated with various laboratory and clinical parameters, along with the patients' response to clopidogrel and statin therapy. The annotation of these SNPs revealed 127 genes being affected by the presence of one or more SNPs. The first patient was enrolled in the study in February 2019 and enrollment is expected to be completed until June 2021. Hence, GESS is the first trial to date aspiring to develop a novel risk prediction algorithm, the GEnetic Syntax Score, able to identify patients at high risk for complex CAD based on their molecular signature profile and ultimately promote pharmacogenomics and precision medicine in routine clinical settings. Trial registration GESS trial registration: ClinicalTrials.gov Number: NCT03150680. Registered 12 May 2017- Prospectively registered, https://clinicaltrials.gov/ct2/show/NCT03150680 .

Diagnostic accuracy of high-risk HPV DNA genotyping for primary cervical cancer screening and triage of HPV-positive women, compared to cytology: preliminary results of the PIPAVIR study.

PURPOSE: The purpose of the presented PIPAVIR (persistent infections with human papillomaviruses; http://www.pipavir.com ) subanalysis is to assess the performance of high-risk (hr) HPV-DNA genotyping as a method of primary cervical cancer screening and triage of HPV positive women to colposcopy compared to liquid-based cytology (LBC) in an urban female population. METHODS: Women, aged 30-60, provided cervicovaginal samples at the Family-Planning Centre, Hippokratio Hospital of Thessaloniki, Greece, and the Department of Gynecology and Obstetrics in Mare Klinikum, Kiel, Germany. Cytology and HPV genotyping was performed using LBC and HPV Multiplex Genotyping (MPG), respectively. Women positive for cytology [atypical squamous cells of undetermined significance (ASC-US) or worse] or hrHPV were referred for colposcopy. RESULTS: Among 1723/1762 women included in the final analysis, hrHPV and HPV16/18 prevalence was 17.7 and 9.6%, respectively. Cytology was ASCUS or worse in 7.6%. Cervical Intraepithelial Neoplasia grade 2 or worse (CIN2+) was detected in 28 women (1.6%). Sensitivity of cytology (ASCUS or worse) and HPV DNA testing for the detection of CIN2+ was 50.0 and 100%, and specificity was 94.49 and 85.49%, respectively. The screening approach according to which only women positive for HPV16/18 and for hrHPV(non16/18) with ASCUS or worse were referred to colposcopy presented 78.57% sensitivity and 13.17% positive predictive value (PPV). CONCLUSIONS: HPV testing represents a more sensitive methodology for primary cervical cancer screening compared to cytology. For triage of HPV positive women to colposcopy, partial HPV genotyping offers better sensitivity than cytology, at the cost of higher number of colposcopies.