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RESEARCH PRODUCT

Preclinical models for precision oncology

Alberto BardelliMaider Ibarrola-villavaAndrés Cervantes

subject

0301 basic medicineCancer ResearchPreclinical modelsMedical OncologyBioinformaticsModels Biological03 medical and health sciences0302 clinical medicineCell Line TumorNeoplasmsGeneticsAnimalsHumansMedicinePrecision Medicinebusiness.industryOrganoids; Patient-derived xenografts (PDX); Preclinical models; Oncology; Genetics; Cancer ResearchDiagnostic testPrecision medicineKey featuresTreatment efficacy3. Good healthClinical trialOrganoids030104 developmental biologyOncologyPrecision oncologyPatient-derived xenografts (PDX)030220 oncology & carcinogenesisHeterograftsbusiness

description

Precision medicine approaches have revolutionized oncology. Personalized treatments require not only identification of the driving molecular alterations, but also development of targeted therapies and diagnostic tests to identify the appropriate patient populations for clinical trials and subsequent therapeutic implementation. Preclinical in vitro and in vivo models are widely used to predict efficacy of newly developed treatments. Here we discuss whether, and to what extent, preclinical models including cell lines, organoids and tumorgrafts recapitulate key features of human tumors. The potential of preclinical models to anticipate treatment efficacy and clinical benefit is also presented, using examples in different tumor types.

10.1016/j.bbcan.2018.06.004http://dx.doi.org/10.1016/j.bbcan.2018.06.004