m
     
Multi angle

H 1 ​Precision and recall oncology: combining multiple gene mutations for improved identification of drug-sensitive tumours

Auteurs : Ballester, Pedro (Auteur de la Conférence)
CIRM (Editeur )

    Loading the player...

    Résumé : Cancer patients often respond differently to the same treatment. Precision oncology aims at predicting which treatments will be effective on a given patient. Such predictive biomarkers of drug response typically take the form of a particular somatic mutation. However, lessons from the past indicate that these single gene-drug response associations are rare and/or often fail to achieve a significant impact in clinic. In this context, Machine Learning (ML) is emerging as a particularly promising complementary approach to precision oncology. Our results show that combining multiple gene alterations of the tumours via ML often results in better discrimination than that provided by the corresponding single-gene marker. This approach also permits assessing which type of molecular profile is most predictive of tumour response depending on treatment and cancer type. Moreover, ML multi-gene predictors generally retrieve a much higher proportion of treatment-sensitive tumours (i.e. they have a higher recall) than the corresponding single-gene marker. The latter suggest that a higher proportion of patients could benefit from precision oncology by applying this ML methodology to existing clinical pharmacogenomics data sets.

    Keywords : cancer; drug sensitivity​; biomarker; machine learning; genomics

    Codes MSC :
    68Uxx - Computing methodologies
    92C40 - Biochemistry, molecular biology

      Informations sur la Vidéo

      Langue : Anglais
      Date de publication : 18/07/2018
      Date de captation : 11/07/2018
      Collection : Computer Science ; Mathematics in Science and Technology
      Sous collection : Research talks
      Format : MP4
      Domaine : Computer Science ; Mathematics in Science & Technology
      Durée : 00:22:25
      Audience : Chercheurs ; Doctorants , Post - Doctorants
      Download : https://videos.cirm-math.fr/2018-07-11_Ballester.mp4

    Informations sur la rencontre

    Nom de la rencontre : Mathematical perspectives in the biology and therapeutics of cancer​ / Perspectives mathématiques en biologie et thérapie du cancer
    Organisateurs de la rencontre : Chapuisat, Guillemette ; Clairambault, Jean ; Hubert, Florence ; Ledzewicz, Urszula ; Volpert, Vitaly
    Dates : 09/07/2018 - 13/07/2018
    Année de la rencontre : 2018
    URL Congrès : https://conferences.cirm-math.fr/1752.html

    Citation Data

    DOI : 10.24350/CIRM.V.19420803
    Cite this video as: Ballester, Pedro (2018). ​Precision and recall oncology: combining multiple gene mutations for improved identification of drug-sensitive tumours. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19420803
    URI : http://dx.doi.org/10.24350/CIRM.V.19420803


    Voir aussi

    Bibliographie

    1. Naulaerts, S., Dang, C.C., & Ballester, P.J. (2017). Precision and recall oncology: combining multiple gene mutations for improved identification of drug-sensitive tumours. Oncotarget, 8(57), 97025–97040 - https://dx.doi.org/10.18632%2Foncotarget.20923

Titres de périodiques et e-books électroniques (Depuis le CIRM)

Ressources Electroniques

Books & Print journals

Recherche avancée


0
Z