GenRisk cancer

Genetic and metabolomics screening: towards precision medicine in cancer prevention

We assess the association of known and unknown factors with cancer to estimate the risk of developing cancer and improve prevention.

Collaborative project

The Fundación Científica de la Asociación Española contra el Cáncer (AECC) has awarded a grant of 500,000 € to the consortium of 15 translational groups coordinated by Dr. Victor Moreno. GenRisk cancer is also a subprogram of CIBER de Epidemiología y Salud Pública (CIBERESP).

We are an established consortium of cancer research institutes through 12 Spanish provinces, coordinated by CIBERESP. A large epidemiological study has been performed in Spain, MCC-Spain that has recruited 6,008 subjects with common cancers (colorectal, breast, stomach, prostate and chronic lymphocytic leukemia) and 4,098 population controls. In addition to epidemiological and dietary data, biological samples have been obtained which now will be analyzed to determine genetics and metabolomics from subjects.


The project aims to improve prevention of the studied cancers, through personalized strategies. Acting before the cancer appears or is at its early stage will diminish the morbidity and its social impact, and will reduce health cost in demographically shifting western world. Screening programs have already proven as successful direction towards lowering mortality from breast, colorectal and cervical cancer. However, screening today is done using only age to select population. With our project we want to move forward, towards personalized prevention so that genetics and lifestyle data will help to define how cancer prevention must be performed for each person.

With samples and data from 10,000 participants, predictive models of cancer risk and prognostic will be developed and validated, using innovative bioinformatics methodology.

Healthy population

Risk models will be developed using genomics, metabolomics and lifestyle data to identify population at high risk of developing cancer.

Cancer patients

Improve prognosis and reduce cancer recurrence using prognostic models based on genetics, metabolomics and epidemiological data.

Studied tumors

Chronic Lymphocytic Leukemia

Project stages

Genetic analysis

Genetic analysis of all participants

Metabolome analysis

Blood molecules that provide information about metabolism, nutrition or energetic status

Association analysis

Relationship of cancer, genome and metabolome with:
- diet
- physical exercise
- obesity
- alcohol and smoking
- environment
- occupation
- medicines
- infections
- metals
- hormones

Causality analysis

Evaluate whether a factor causes cancer or if this factor is altered after cancer onset

Risk models

Models to predict cancer risk for the studied tumors

Prognostic models

Models to predict which patients will have a better survival

Economic evaluation

Cost-effectiveness models to evaluate personalized screening strategies

Validation study

Verification in independent studies that the models are valid and useful

Project progress

Samples collection

Work team

Victor Moreno ICO-IDIBELL, Barcelona
Victor Moreno
Manolis Kogevinas ISGlobal, Barcelona
Manolis Kogevinas
Adonina Tardón Universidad de Oviedo
Adonina Tardón
Vicente Martín Universidad de León
Vicente Martín
Pilar Amiano IISB, San Sebastian
Pilar Amiano
Delphine Casabonne IDIBELL-ICO, Barcelona
Delphine Casabonne
Trinidad Dierssen Universidad de Cantabria, Santander
Trinidad Dierssen
Pablo Fernández ISCIII, Madrid
Pablo Fernández
José María Huerta FFIS, Murcia
José María Huerta
Juan Alguacil Universidad de Huelva
Juan Alguacil
Rafael Marcos IDIBGI-ICO, Girona
Rafael Marcos
María del Rocío Olmedo Universidad de Granada
María del Rocío Olmedo
Eva Ardanaz ISPLN, Pamplona
Eva Ardanaz
Dolores Salas FISABIO, Valencia
Dolores Salas
Antoni Serrano FSJD, Barcelona
Antoni Serrano
María José Sánchez EASP, Granada
María José Sánchez
Marina Pollán ISCIII, Madrid
Marina Pollán
Beatriz Pérez ISCIII, Madrid
Beatriz Pérez
Núria Aragonés DGSP Comunidad de Madrid
Núria Aragonés
Gemma Castaño ISGlobal, Barcelona
Gemma Castaño
Javier Llorca Universidad de Cantabria, Santander
Javier Llorca
José Juan Jiménez Universidad de Granada
José Juan Jiménez



This project has been funded by Fundación Científica de la Asociación Española contra el Cáncer (AECC) with the contribution of Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP).

Project GCTRA18022MORE