Browsing by Author "Getz, Gad"

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  • Jiao, Wei; Atwal, Gurnit; Polak, Paz; Karlic, Rosa; Cuppen, Edwin; PCAWG Tumor Subtypes and Clinical Translation Working Group; Danyi, Alexandra; Ridder, Jeroen de; van Herpen, Carla; Lolkema, Martijn P.; Steeghs, Neeltje; Getz, Gad; Morris, Quaid; Stein, Lincoln D.; PCAWG Consortium; Stobbe, Miranda D. (Nature Research, 2020)
    In cancer, the primary tumour's organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as ...
  • Rheinbay, Esther; Sabarinathan, Radhakrishnan; Mularoni, Loris; Gonzalez-Perez, Abel; Pich, Oriol; Tamborero Noguera, David; López Bigas, Núria; Getz, Gad; PCAWG Consortium (Nature Research, 2020)
    The discovery of drivers of cancer has traditionally focused on protein-coding genes1-4. Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the ...
  • Porta-Pardo, Eduard; Kamburov, Atanas; Tamborero Noguera, David; Pons, Tirso; Grases, Daniela; Valencia, Alfonso; López Bigas, Núria; Getz, Gad; Godzik, Adam (Nature Publishing Group, 2017)
    Understanding genetic events that lead to cancer initiation and progression remains one of the biggest challenges in cancer biology. Traditionally, most algorithms for cancer-driver identification look for genes that have ...
  • Tamborero Noguera, David; González-Pérez, Abel; Pérez Llamas, Christian, 1976-; Déu Pons, Jordi; Kandoth, Cyriac; Reimand, Jüri; Lawrence, Michael S.; Getz, Gad; Bader, Gary D.; Ding, Li; López Bigas, Núria (Nature Publishing Group, 2013)
    With the ability to fully sequence tumor genomes/exomes, the quest for cancer driver genes can now be undertaken in an unbiased manner. However, obtaining a complete catalog of cancer genes is difficult due to the heterogeneous ...
  • Tamborero Noguera, David; González-Pérez, Abel; Pérez Llamas, Christian, 1976-; Déu Pons, Jordi; Kandoth, Cyriac; Reimand, Jüri; Lawrence, Michael S.; Getz, Gad; Bader, Gary D.; Ding, Li; López Bigas, Núria (Universitat Pompeu Fabra, 2013-10)
    This file lists the High Confidence Drivers identified as part of the pan-cancer12 initiative, published in the paper Comprehensive identification of mutational cancer driver genes across 12 tumor types" Scientific Reports ...
  • Leiserson, Mark D.M.; Vandin, Fabio; Wu, Hsin-Ta; Dobson, Jason R.; Eldridge, Jonathan V.; Thomas, Jacob L.; Papoutsaki, Alexandra; Kim, Younhun; Niu, Beifang; McLellan, Michael; Lawrence, Michael S.; Gonzalez-Perez, Abel; Tamborero Noguera, David; Cheng, Yuwei; Ryslik, Gregory A.; López Bigas, Núria; Getz, Gad; Ding, Li; Raphael, Benjamin J. (Nature Research, 2015)
    Cancers exhibit extensive mutational heterogeneity, and the resulting long-tail phenomenon complicates the discovery of genes and pathways that are significantly mutated in cancer. We perform a pan-cancer analysis of mutated ...
  • Reyna, Matthew A.; Haan, David; Paczkowska, Marta; Verbeke, Lieven P.C.; Vazquez, Miguel; Kahraman, Abdullah; Pulido-Tamayo, Sergio; Barenboim, Jonathan; Wadi, Lina; Dhingra, Priyanka; Shrestha, Raunak; Getz, Gad; Lawrence, Michael S.; Pedersen, Jackob S.; Rubin, Mark A.; Wheeler, David A.; Brunak, Søren; Izarzugaza, Jose M.G.; PCAWG Drivers and Functional Interpretation Working Group; PCAWG Consortium; Deu-Pons, Jordi; Gut, Ivo Glynne; Muiños, Ferran; Mularoni, Loris; Rubio Pérez, Carlota, 1990-; Tamborero Noguera, David (Nature Research, 2020)
    The catalog of cancer driver mutations in protein-coding genes has greatly expanded in the past decade. However, non-coding cancer driver mutations are less well-characterized and only a handful of recurrent non-coding ...

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