2416618
doi
10.5281/zenodo.2416618
oai:zenodo.org:2416618
user-precise
user-eu
Beal, Jonas
Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
Traynard, Pauline
Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
Tobalina, Luis
JRC-COMBINE, RWTH Aachen University, Germany
Saez-Rodriguez, Julio
JRC-COMBINE, RWTH Aachen University, Germany, Institute for Computational Biomedicine, Heidelberg University Hospital, Germany
Barillot, Emmanuel
Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
Calzone, Laurence
Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
Patient- specific prostate logical models allow clinical stratification of patients and personalized drug treatment
Montagud, Arnau
Institut Curie, PSL Research University, Mines Paris Tech, INSERM U900, Paris, France
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Boolean model
Prostate cancer
MaBoSS
<p>We developed a logical model that considers major pathways responsible for prostate cancer development. This model has been extensively tested in silico by studying all single and double mutants and its robustness using our pipeline of tools. Additionally, we tailored our logical model to TCGA prostate cancer patients’ and GDSC cell lines’ data to capture their diversity of functioning and response to perturbations.<br>
Finally, we simulated the effects of different drugs in prostate-specific cell lines models under different growth conditions in order to find proper combinations of drug concentrations in these cell lines.<br>
Present results facilitate the use of logical models in personalized medicine, by allowing the instantiation of patient-specific models, and facilitates the study of patient-specific drug treatments that depend on the specific patient’s response.</p>
Zenodo
2018-09-10
info:eu-repo/semantics/conferencePoster
2416617
user-precise
user-eu
award_title=PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION; award_number=668858; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/668858; funder_id=00k4n6c32; funder_name=European Commission;
1579537567.570378
4591874
md5:04af312001aaf2290c6d1e49cb913471
https://zenodo.org/records/2416618/files/ECCB2018_Montagud-CI.pdf
public
10.5281/zenodo.2416617
isVersionOf
doi