Cancer immunogenomics


Genesis of cancer

Multiscale omics

Belongs to

IJC Can Ruti



Our research lies at the interface of artificial intelligence, molecular biology and medical oncology, and we bring together experts from all three fields. We use computational approaches to study the interaction between genetic variants in cancer genomes and multiple aspects of cancer, ranging from the immune response against tumors to the susceptibility of cancer cells to different treatments.


Over the last two decades, there has been an explosion of three main types of big data in cancer research. We use three types of data:
1.     Germline genotypes from cancer patients, this is, the base non-altered genome of individual people being diagnosed with cancer.
2.     Somatic tumor genomes, being the particular genomes of individual tumors, with its unique set of alterations.
3.     The amount and composition of cells in tumors coming from single-cell sequencing.

Until now, these three different aspects of tumor immunobiology have mostly been studied on an individual basis. However, it is now evident that the three factors are inextricably linked and should be studied as a whole.



Our main goal is to understand how genetic variation influences the immune response against cancer cells and vice versa. Specifically, we are working on the following lines:
1.     Understanding how inherited genetic variants change the immune response against cancer cells. 
2.     Understanding how inherited genetic variants interact with biological sex to influence cancer predisposition. We are using the MareNostrum supercomputer to analyze genetic data from hundreds of thousands of cancer patients from this biological sex perspective, to identify genetic variants that predispose to cancer differently depending on gender.
3.     Integration of protein structure and genetic data to identify new cancer-associated mutations. 
4.     Creating a molecular and cellular map of the tumor microenvironment in bladder cancer. 


Through our research, we hope to answer the following questions:
1.     Is it possible to use a person’s genetic data to predict whether he/she will develop cancer?
2.     Which genes play a role in the development of cancer?
3.     How do genetic variants change the immune response against cancer cells?


Selected Publications

Current Grants


European commission

SECURED Scaling Up secure Processing, Anonymization and generation of Health Data for EU cross border collaborative research and Innovation


Fundación científica de la asociación española contra el cáncer

Un mapa molecular y celular del cáncer de vejiga para guiar el tratamiento neoadyuvante


Fundación fero

Mapping the activity of Cancer Hallmarks to predict the success of cancer treatments


Fundació "la caixa"


Ministerio de ciencia, innovación y universidades

RYC2019-026415-I RYC Eduard Porta


Fundació "la caixa"