Oscar Rueda, PhD

I am interested in the development of statistical models for the analysis of large genomic and transcriptomic datasets. Specifically, my goal is to integrate large breast cancer datasets in order to identify biomarkers that can be used to stratify patients and to identify potential drug candidates for specific subtypes. The combination of clinical samples and preclinical models can accelerate the clinical implementation of new drugs, however there are multiple statistical challenges that need to be solved in order to bridge the gap between what we observe in vitro, in animal models and in the patient. Finally, these biomarkers must also be estimated through a robust and affordable genomic test.

Biography

Oscar has a PhD in Mathematics (Statistics) from the University of Valladolid, Spain. He has worked previously in the Spanish National Cancer Centre (CNIO) as a graduate student and in CRUK Cambridge Institute as a postdoc. He is currently an MRC investigator and a group leader at the MRC Biostatistics Unit, University of Cambridge.

Publications

Key publications:

Selected Publications

Rueda OM, Sammut S-J, Seoane JA, Chin S-F, Caswell-Jin JL, Callari M, Batra R, Pereira B, Bruna A, Ali HR, Provenzano E, Liu B,Parisien M, Gillett C, McKinney S, Green AR, Murphy L, Purushotham A, Ellis IO, Pharoah PD, Rueda C, Aparicio S , Caldas C, and Curtis C. Dynamics of breast cancer relapse reveal molecularly defined late recurring ER-positive subgroups. Nature. 2019, 567(7748):399-404.

Bruna A, Rueda OM, Greenwood W, Batra AS, Callari M, Batra RN, Pogrebniak K, Sandoval J, Cassidy JW, Tufegdzic-Vidakovic A, Sammut SJ, Jones L, Proven- zano E, Baird R, Eire P, Hadfield J, Eldridge M, McLaren-Douglas A, Barthorpe A, Lightfoot H, O’Connor MJ, Gray J, Cortes J, Baselga J, Marangoni E, Welm AL, Aparicio S, Serra V, Garnett MJ, Caldas C. A Biobank of Breast Cancer Explants with Preserved Intra-tumor Heterogeneity to Screen Anticancer Compounds Cell. 2016 Sep 14. pii: S0092-8674(16)31138-2

Pereira B, Chin SF, Rueda OM, Vollan HK, Provenzano E, Bardwell HA, Pugh M, Jones L, Russell R, Sammut SJ, Tsui DW, Liu B, Dawson SJ, Abraham J, Northen H, Peden JF, Mukherjee A, Turashvili G, Green AR, McKinney S, Oloumi A, Shah S, Rosenfeld N, Murphy L, Bentley DR, Ellis IO, Purushotham A, Pinder SE, Børresen- Dale AL, Earl HM, Pharoah PD, Ross MT, Aparicio S, Caldas C. The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes Nat Commun. 2016 May 10;7:11479

Tufegdzic Vidakovic A, Rueda OM, Vervoort SJ, Sati Batra A, Goldgraben MA, Uribe-Lewis S, Greenwood W, Coffer PJ, Bruna A, Caldas C. Context-Specific Effects of TGF-β/SMAD3 in Cancer Are Modulated by the Epigenome Cell Rep. 2015 13(11):2480-90

Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, Speed D, Lynch AG, Samarajiwa S, Yuan Y, Gra ̈f S, Ha G, Haffari G, Bashashati A, Rus- sell R, McKinney S, METABRIC Group, Langerød A, Green A, Provenzano E, Wishart G, Pinder S, Watson P, Markowetz F, Murphy L, Ellis I, Purushotham A, Børesen-Dale AL, Brenton JD, Tavar ́e S, Caldas C, Aparicio S. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012;486(7403):346-352.