Gastric Cancer
Conditions
Keywords
gastric cancer, StoP Consortium, genomics, dietary aspects, Polygenic Risk Score, gastric cardia carcinoma, gastric neoplasm
Brief summary
Gastric Cancer (GC) ranks fourth in the number of deaths worldwide and it is sixth in Italy with almost 9,000 deaths in 2020. Survival of GC is one of the lowest reported amongst major cancers, thus making prevention a central priority for its control. However there is currently a lack of evidence on gastric cancer determinants. Our study will pursue the following specific objectives: * analyze dietary and lifestyle habits for GC, also infrequent ones (WP1); * analyze major risk factors in rare patient subgroups (WP2); * develop a Genome-wide Modelling of polygenic risk score (PRS) in GC (WP3)
Detailed description
The Stomach cancer Pooling project (StoP) Consortium dataset has grown to the current number of 35 studies from Europe, America, Middle East and Eastern Asia. It will be used as the cornerstone upon which the investigation on the dietary and lifestyle determinants of gastric cancer (GC) will be built. It will allow the analyses of relatively infrequent habits or exposures, genetic factors as well as to perform sufficiently powered analyses of interactions and subgroups that may present relevant heterogeneity in the etiological correlates of GC. The potential of genomics to personalize and thereby improve diagnosis, treatment, and prognosis of individuals has long been recognized, but so far evidence of the opportunity for genomics to drive prevention remains limited. Recent advances in research on Polygenic Risk Score (PRS) have created new interest about the use of genetic information in prevention of common diseases and its application to risk stratification. A long-lasting open question is whether common genetic variants used to build PRS are able to predict the risk of developing complex diseases with enough power to be used in a clinical setting. The lack of large enough dataset able to allow an unbiased PRS validation, hampered this question to be answered for many years. This study builds upon the StoP project (a consortium collecting data from about 13,500 GC cases and 32,000 controls) and the UK Biobank (480 GC cases and 338,000 controls) to develop a Polygenic Risk Score for gastric cancer.
Interventions
None listed
Sponsors
University of Bologna
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Study design
Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Patients participating in studies that collaborate with the StoP Project * Patient enrolled by the UK Biobank
Exclusion criteria
* Age \<18 years old * Studies with less than 80 cases of histologically confirmed Gastric Cancer
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Impact of dietary and lifestyle habits, including infrequent ones on the aetiology of gastric cancer | The analysis will be completed in three years. Data about lifestyle and dietary habits were collected through a questionnaire at enrollment. | Analysis of the association of dietary and lifestyle habits (e.g. caroteinoids, allium plant consumption, calcium, sodium intake, pipe and cigar smoking) from survey data with gastric cancer development |
| Impact of major gastric cancer risk factors on its aetiology in rarer patients subgroups | The analysis will be completed in three years. Data about lifestyle and dietary habits were collected through a questionnaire at enrollment. | Analysis of the association between major risk factors in subgroups of studies or in rare patient groups (e.g.: gastric cancer in young people, cancer occurring at gastric cancer) and gastric cancer |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Development of a genome-wide modelling of Polygenic risk score (PRS) in gastric cancer | Through study completition, three years. Blood samples were collected at the diagnosis (cases) or at the enrollment (controls) | Construction and evaluation of a PRS and a prediction model for gastric cancer, and evaluation of the performance in a validation sample |
Countries
Italy
Contacts
Primary ContactStefania Boccia, PhD
Backup ContactRoberta Pastorino, PhD
Outcome results
None listed