About this trial
This study is a multicenter, prospective cohort study, which are planned to enroll at least 600 patients who diagnosed the primary gastric cancer (GC); around 50 patients with premalignant gastric lesions (PGLs) and early gastric neoplasias (EGC) treated by endoscopy resection; and no less than 600 healthy normal cohort participants, for more than 18 months in the Spanish population. All participants who enrolled in this registry will be questioned by the life habits survey; and clinical data and biological samples of these participants were analyzed in order to look for new diagnostic tools.
The aim of this study is to evaluate clinical, endoscopic and molecular approaches to identify individuals with high-risk of GC. Thus, it would be allow the adoption of preventive measures to reduce mortality through early detection and/or the reduction of its incidence.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Adults over 18 years-old.
EDGAR 1 cohort: symptomatic patients undergoing a diagnostic gastroscopy for a prevalence study of PGLs.
EDGAR 2 cohort: PGLs and early GC with indication for endoscopic resection.
EPIGASTRIC cohort: patients diagnosed with GC.
Disqualifiers
Refusal of the patient to participate in the study.
Medical, psychological or legal inability of the patient to enter the study.
EDGAR1: Previous diagnosis of PGLs, previous gastric surgery, contraindication for gastroscopy or taking biopsies.
EDGAR 2: Contraindication for resection/biopsy.
Trial population
This cohort study is designed to enroll the Spanish population patients who are diagnosed gastric cancer; symptomatic patients subjected to a diagnostic gastroscopy who have or not premalignant gastric lesions and early gastric neoplasias susceptible to be treated by endoscopy resection; and healthy control participants by multicenter-prospective registry. Nevertheless, the study will be open to international participation.
Trial design
Cohort
Prospective
Treatments tested in this trial
Identification of risk factors
Other interventionDemographics, life habits and risk factors studies
Characterization of premalignant gastric lesions
Other interventionIdentification and characterization of premalignant gastric lesions through high definition endoscopic study. Concordance between endoscopic and histological classifications
Identification of biomarkers
Other interventionMultiomic studies
Identification of gastric cancer hereditary predisposition
Other interventionGenomic studies for the identification of individuals with hereditary GC predisposition
Treatment groups
Trial outcomes
Primary outcomes
New strategies for gastric cancer (GC) early diagnosis
Prediction of risk factors and identification of new strategies for an early diagnosis of GC.
Secondary outcomes
Prevalence of premalignant gastric lesions (PGLs)
Determine the prevalence of PGLs in the EDGAR 1 cohort.
Endoscopic characterization of PGLs
Identification and characterization of PGLs through high definition endoscopic study, testing the concordance between endoscopic and histological classifications.
Identification of GC hereditary predisposition by a customize multigene panel
Define de most effective strategy for the identification of individuals with hereditary GC predisposition. In order to perform a clinical validation of the candidate genes identified by whole exome sequencing according to previous results of the research team (Herrera-Pariente, et al. IJMS 2021), a customize multigene panel has been designed including 25 potentially germline genetic variants associated to hereditary GC and 13 genes already associated with a higher risk of GC. This panel has been already tested, by the research group, ensuring its viability.
Identification of GC risk factors from clinical data and a lifestyle survey
Based on the endoscopic classifications of the lesions found, the demographic data of the patient and their lifestyle and diet habits obtained through a specific questionnaire, risk factors involved in the development of CG will be identified through logistic regression. The identified risk factors will be used to create a predictive model.
Sponsors and contacts
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EDUARDO ALBENIZ
Lead sponsor
Fundacion Miguel Servet
Sponsor institution
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain
Collaborator
Fundació Clínic per a la Recerca Biomèdica (FCRB), Spain
Collaborator
Miguel Servet Foundation/Navarrabiomed, Spain
Collaborator
Hospital Clinic of Barcelona
Collaborator
Navarre University Hospital (HUN), Spain
Collaborator
Navarre Health Research Institute (IdiSNA), Spain
Collaborator
Carlos III Health Institute (ISCIII), Spain
Collaborator
Spanish Society of Digestive Endoscopy (SEED) Foundation
Collaborator
Spanish Association of Gastroenterology (AEG)
Collaborator