Publicaciones en colaboración con investigadores/as de Universidad Complutense de Madrid (7)

2022

  1. Spatially resolved proteomic profiling identifies tumor cell CD44 as a biomarker associated with sensitivity to PD-1 axis blockade in advanced non-small-cell lung cancer

    Journal for immunotherapy of cancer, Vol. 10, Núm. 8

2020

  1. FGFR1 and FGFR4 oncogenicity depends on n-cadherin and their co-expression may predict FGFR-targeted therapy efficacy

    EBioMedicine, Vol. 53

2019

  1. YES1 drives lung cancer growth and progression and predicts sensitivity to dasatinib

    American Journal of Respiratory and Critical Care Medicine, Vol. 200, Núm. 7, pp. 888-899

2017

  1. Strategies to design clinical studies to identify predictive biomarkers in cancer research

    Cancer Treatment Reviews, Vol. 53, pp. 79-97

2016

  1. Targeted depletion of PIK3R2 induces regression of lung squamous cell carcinoma

    Oncotarget, Vol. 7, Núm. 51, pp. 85063-85078

2014

  1. Space: An algorithm to predict and quantify alternatively spliced isoforms using microarrays

    Bioinformatics: The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research (Apple Academic Press), pp. 105-144

2008

  1. SPACE: An algorithm to predict and quantify alternatively spliced isoforms using microarrays

    Genome Biology, Vol. 9, Núm. 2