Our lab is a collective of clinical, computational, molecular and mathematic research investigators with an interest to study the role of acquired mutations in cancer development and how these determine clinical phenotype and response to therapy. Our mission is to execute research that informs and moves clinical practices in oncology forward. We have strong expertise in genome profiling analysis proven track record on the development of high-throughput laboratory and analytical pipelines (bioinformatics and statistical) and integrate large and complex genomic datasets. We have formed a strong network of research and clinical collaborations, to pursue innovative studies in cancer research.
We like to perform ambitious research but operate in a fun, collaborative and team oriented environment and we are strongly committed to mentoring young scientists through internal and international internship schemes.
Elli Papaemmanuil, PhD
Research FocusMolecular geneticist Elli Papaemmanuil performs systematic interrogations of well annotated clinical trial cohorts in leukemia and cancer to explore how the compound genetic and clonal architecture in patients leukemias and tumors dictate clinical phenotype, disease progression and clinical outcomes.
EducationPhD – University of London, London, England, UK
- Papaemmanuil E, Rapado I, Li Y, Potter NE, Wedge DC, Tubio J, Alexandrov LB, Van Loo P, Cooke SL, Marshall J, Martincorena I, Hinton J, Gundem G, van Delft FW, Nik-Zainal S, Jones DR, Ramakrishna M, Titley I, Stebbings L, Leroy C, Menzies A, Gamble J, Robinson B, Mudie L, Raine K, O’Meara S, Teague JW, Butler AP, Cazzaniga G, Biondi A, Zuna J, Kempski H, Muschen M, Ford AM, Stratton MR, Greaves M, Campbell PJ. RAG-mediated recombination is the predominant driver of oncogenic rearrangement in ETV6-RUNX1 acute lymphoblastic leukemia. Nat Genet. 2014 Feb;46(2):116-25. doi: 10.1038/ng.2874. Epub 2014 Jan 12. PubMed Central PMCID: PMC3960636. PubMed
- Gerstung M, Pellagatti A, Malcovati L, Giagounidis A, Porta MG, Jädersten M, Dolatshad H, Verma A, Cross NC, Vyas P, Killick S, Hellström-Lindberg E, Cazzola M, Papaemmanuil E, Campbell PJ, Boultwood J. Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes. Nat Commun. 2015 Jan 9;6:5901. doi: 10.1038/ncomms6901. PubMed Central PMCID: PMC4338540. PubMed