Nikolaus Schultz, PhD

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Nikolaus Schultz, PhD

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646-608-7555

Nikolaus Schultz, PhD is an Attending Computational Oncologist in the Department of Epidemiology and Biostatistics and an Affiliate Member of the Human Oncology and Pathogenesis Program. Dr. Schultz also serves as Head of Knowledge Systems in the Marie-Josée and Henry R. Kravis Center for Molecular Oncology, where he leads the development of the cBioPortal for Cancer Genomics, a web-based resource for the analysis of complex cancer genomics data, and of OncoKB, a precision oncology knowledge base. Dr. Schultz was originally trained as a biochemist and molecular biologist, but has, since his post-doctoral training in the Computational Biology Department at MSK, transitioned towards bioinformatics and computational biology. His research focuses on identifying the genomic alterations that underlie different types of cancer. By applying existing or novel computational methods to large scale cancer genomics data sets, he aims to better understand the complex mechanisms at the gene and at the pathway level that drive tumor progression, with the ultimate goal of identifying targeted therapeutic options for cancer patients. Dr. Schultz is engaged in collaborations with multiple investigators at MSK. He has also made significant contributions to several projects of The Cancer Genome Atlas, The Human Tumor Atlas Network, AACR Project GENIE, and is an investigator in the Stand Up to Cancer Prostate Cancer Dream Team. He has a particular interest in enabling discoveries by developing novel computational methods and databases that help bridge the divide between computer scientists on one side and clinicians and researchers on the other.

Publications

  1. Cerami E, …, Schultz N. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012 May;2(5):401-4. doi:10.1158/2159-8290.CD-12-0095. Erratum in: Cancer Discov. 2012 Oct;2(10):960.PubMed PMID: 22588877; PubMed Central PMCID: PMC3956037.
  2. Cancer Genome Atlas Research Network. The Molecular Taxonomy of Primary Prostate Cancer. Cell. 2015 Nov 5;163(4):1011-25. doi: 10.1016/j.cell.2015.10.025. PubMed PMID: 26544944; PubMed Central PMCID:PMC4695400.
  3. Ciriello G, …, Schultz N, Sander C. Emerging landscape of oncogenic signatures across human cancers. Nat Genet. 2013 Oct;45(10):1127-33. doi: 10.1038/ng.2762. PubMed PMID: 24071851; PubMed Central PMCID: PMC4320046.
  4. Domcke S, …, Schultz N. Evaluating cell lines as tumour models by comparison of genomic profiles. Nat Commun. 2013;4:2126. doi: 10.1038/ncomms3126. PubMed PMID: 23839242; PubMed Central PMCID: PMC3715866.
  5. Ciriello G, …, Schultz N. Mutual exclusivity analysis identifies oncogenic network modules. Genome Res. 2012 Feb;22(2):398-406. doi: 10.1101/gr.125567.111. Epub 2011 Sep 9. PubMed PMID: 21908773; PubMed Central PMCID: PMC3266046.
  6. Chakravarty D, …, Schultz N. OncoKB: A Precision Oncology Knowledge Base. JCO Precis Oncol. 2017 Jul;2017. doi: 10.1200/PO.17.00011. Epub 2017 May 16. PubMed PMID: 28890946; PubMed Central PMCID: PMC5586540.
  7. Sanchez-Vega F, …, Schultz N. Oncogenic Signaling Pathways in The Cancer Genome Atlas. Cell. 2018 Apr 5;173(2):321-337.e10. doi: 10.1016/j.cell.2018.03.035. PubMed PMID: 29625050; PubMed Central PMCID: PMC6070353.
  8. Armenia J, …; PCF/SU2C International Prostate Cancer Dream Team, Schultz N, Van Allen EM. The long tail of oncogenic drivers in prostate cancer. Nat Genet. 2018 May;50(5):645-651. doi: 10.1038/s41588-018-0078-z. Epub 2018 Apr 2. Erratum in: Nat Genet. 2019 Jul;51(7):1194. PubMed PMID: 29610475; PubMed Central PMCID: PMC6107367.
  9. Yaeger R, …, Schultz N. Clinical Sequencing Defines the Genomic Landscape of Metastatic Colorectal Cancer. Cancer Cell. 2018 Jan 8;33(1):125-136.e3. doi: 10.1016/j.ccell.2017.12.004. PubMed PMID: 29316426; PubMed Central PMCID: PMC5765991.
  10. Janjigian YY, …, Schultz N. Genetic Predictors of Response to Systemic Therapy in Esophagogastric Cancer. Cancer Discov. 2018 Jan;8(1):49-58. doi: 10.1158/2159-8290.CD-17-0787. Epub 2017 Nov 9. PubMed PMID: 29122777; PubMed Central PMCID: PMC5813492.

View a complete listing of Nikolaus Schultz’ publications