Work

Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group

Year: 2020

Type: article

Source: Annals of Oncology

DOI: 10.1016/j.annonc.2020.05.008

Authors: L. De Mattos-Arruda, M. Vazquez, F. Finotello, R. Lepore, E. Porta, J. Hundal, P. Amengual-Rigo, C.K.Y. Ng, A. Valencia, J. Carrillo, T.A. Chan, V. Guallar, N. McGranahan, J. Blanco, M. Griffith

Institutions: IrsiCaixa, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona Supercomputing Center, Innsbruck Medical University, Universität Innsbruck, Josep Carreras Leukaemia Research Institute, Washington University in St. Louis, University of Bern, Institució Catalana de Recerca i Estudis Avançats, Cleveland Clinic, Cancer Research UK, University College London, Universitat de Vic - Universitat Central de Catalunya

Language: English

Topic: Cancer Immunotherapy and Biomarkers

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: V Foundation for Cancer Research, Pfizer, AstraZeneca, Wellcome Trust, Cancer Research UK, National Institute for Health and Care Research, Royal Society, University College London, Rosetrees Trust, Austrian Science Fund, Eisai, European Society for Medical Oncology, National Institutes of Health, National Human Genome Research Institute

Awards: G248087933, G3038870994, G5310623310, The tumor-immune interface of human lung cancer, G5958715125, G71631788, Mapping the constraints and selection pressures of lung cancer evolution, Mapping the constraints and selection pressures of lung cancer evolution, G9000092947

OpenAlex ID: W3037875124

FWCI: 6.175

Cites: 130

Cited by: 157

Related to: 10