News

    II Jornada Divulgativa Càncer Colorectal (Badalona)
    2nd Colorectal Cancer Awareness Event: Small Habits, a Big Impact on Your Health
    14/10/2026

    Mireia Obón, a researcher from PADO, along with other experts in oncology, research, nutrition, and physical activity, will share knowledge and experiences regarding colorectal cancer from a multidisciplinary perspective. The event, which will take place on October 29th, aims to bring science closer to the general public.

    II Jornada Divulgativa Càncer Colorectal (Badalona)

    Publicacio_Blanca_Rius
    The key to identifying colorectal cancer risk earlier could lie in a molecule found in the blood
    13/10/2026

    A study, led by researchers from PADO, has identified ACISOGA, a molecule found in the blood that could help more accurately identify people at higher risk of developing colorectal cancer. The research, published in Cancer Epidemiology, Biomarkers & Prevention, analyzed samples from more than 500 individuals with different levels of risk and found that ACISOGA levels increase as colorectal lesions progress. The findings were later confirmed in an independent European cohort of more than 1,100 participants. In addition, genetic analyses showed that people predisposed to having higher levels of ACISOGA are at greater risk of developing the disease. Although further research is needed before this biomarker can be incorporated into clinical practice, the discovery opens new opportunities to improve prevention, early detection, and the development of more personalized strategies against colorectal cancer.

    https://pubmed.ncbi.nlm.nih.gov/42201318/

    Imatge Grup Aniling
    GEUS-COMPASS, the collaborative project that aims to develop predictive algorithms for cancer risk in early stages
    17/06/2026

    The GEUS-COMPASS project's main objective is to accelerate the development of a multimodal test to transform cancer detection before symptoms appear. It aims to identify early molecular signs of colorectal, lung, and breast cancer in a single process.

    GEUS-COMPASS is a project that integrates genomics, epigenomics, epidemiology, and other advanced omics layers with cutting-edge artificial intelligence to develop next-generation predictive tools. This multidimensional approach represents a major step forward in expanding GEUS technology toward integrated and accessible diagnostics.

    This project is jointly led by Víctor Moreno's group, the IGTP (Institute of Genomics and Tropical Medicine), and the company Aniling, and is funded by the Spanish State Research Agency and European funds.

    https://www.aniling.com/m/geus-compass-shaping-the-future-of-early-cancer-detection/

    Imatge investigadors de l'estudi
    The study led by PADO on a model based on epidemiological data which could help advance the detection of pancreatic cancer
    17/06/2026

    A new tool has been validated that could facilitate the early detection of pancreatic cancer, one of the most aggressive and difficult-to-diagnose tumors. The research team, with a prominent role played by the PADO (Pancreatic Cancer Assessment Program), developed the tool, the statistical analysis, and the integration of epidemiological data. The study, published in the Journal of Epidemiology, has verified a scoring system based on 24 epidemiological factors that allows for the identification of individuals at higher risk of developing pancreatic cancer.

    The work focused on individuals with a high familial risk of developing this disease and was validated using data from nearly 300,000 participants in the UK Biobank. The results show that individuals with higher scores were more likely to have suspicious lesions detected by magnetic resonance imaging (MRI). Therefore, strategies like this can be particularly useful for focusing efforts on high-risk groups.

    https://pubmed.ncbi.nlm.nih.gov/42160519/

    https://www.linkedin.com/feed/update/urn:li:activity:7475836624363397120

    Imatge equip treball GRIDSS
    A new algorithm to detect complex mutations in patients at risk of hereditary cancer
    13/05/2026

    The Hereditary Cancer group at ICO-IDIBELL continues its work on improving the diagnostic strategy for unresolved cases of hereditary cancer, in this instance by applying its own algorithm to identify complex mutations that are difficult to detect. The approach of this study is based on the optimisation of current bioinformatics tools (GRIDSS) and has been published in the European Journal of Human Genetics. The study, led by Dr Conxi Lázaro, involved the participation of UBOP (David Cordero, Ania Alay, José Marcos Moreno and María Ajenjo).

    Imatge equip UBOP