Publicaciones en colaboración con investigadores/as de Centro Nacional de Investigaciones Oncológicas (17)

2023

  1. New proposal to address mediation analysis interrogations by using genetic variants as instrumental variables

    Genetic Epidemiology, Vol. 47, Núm. 3, pp. 287-300

2021

  1. A Pan-Cancer Analysis of Tumor-Infiltrating B Cell Repertoires

    Frontiers in Immunology, Vol. 12

  2. Maternal and Infant Immune Repertoire Sequencing Analysis Identifies Distinct Ig and TCR Development in Term and Preterm Infants

    Journal of Immunology, Vol. 207, Núm. 10, pp. 2445-2455

  3. Tumor-Infiltrating B- and T-Cell Repertoire in Pancreatic Cancer Associated With Host and Tumor Features

    Frontiers in Immunology, Vol. 12

2020

  1. Data Integration for Immunology

    Annual Review of Biomedical Data Science, Vol. 3, pp. 113-136

  2. Immunohistochemistry-based taxonomical classification of bladder cancer predicts response to neoadjuvant chemotherapy

    Cancers, Vol. 12, Núm. 7, pp. 1-13

2019

  1. CD8+ Cytotoxic Immune Infiltrate in Non-Muscle Invasive Bladder Cancer: A Standardized Methodology to Study Association with Clinico-Pathological Features and Prognosis

    Bladder Cancer, Vol. 5, Núm. 2, pp. 159-169

  2. Challenges in the integration of omics and non-omics data

    Genes, Vol. 10, Núm. 3

2018

  1. Incidence, predictors and prognostic significance of thromboembolic disease in patients with advanced ALK-rearranged non-small cell lung cancer

    European Respiratory Journal

2017

  1. DEK oncogene is overexpressed during melanoma progression

    Pigment Cell and Melanoma Research, Vol. 30, Núm. 2, pp. 194-202

  2. Integrative eQTL analysis of tumor and host omics data in individuals with bladder cancer

    Genetic Epidemiology, Vol. 41, Núm. 6, pp. 567-573

  3. Whole-body imaging of lymphovascular niches identifies pre-metastatic roles of midkine

    Nature, Vol. 546, Núm. 7660, pp. 676-680

2016

  1. Toward the integration of Omics data in epidemiological studies: still a “long and winding road”

    Genetic Epidemiology, Vol. 40, Núm. 7, pp. 558-569

2015

  1. Framework for the Integration of Genomics, Epigenomics and Transcriptomics in Complex Diseases

    Human Heredity, Vol. 79, Núm. 3-4, pp. 124-136

  2. Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer

    PLoS Genetics, Vol. 11, Núm. 12

2014

  1. FGF receptor genes and breast cancer susceptibility: Results from the Breast Cancer Association Consortium

    British Journal of Cancer, Vol. 110, Núm. 4, pp. 1088-1100

  2. Genetic variation in the TP53 pathway and bladder cancer risk. A comprehensive analysis

    PLoS ONE, Vol. 9, Núm. 5