dc.contributor.author
Hartung, Niklas
dc.contributor.author
Huynh, Cecilia T. -K.
dc.contributor.author
Gaudy-Marqueste, Caroline
dc.contributor.author
Flavian, Antonin
dc.contributor.author
Malissen, Nausicaa [u.a.]
dc.date.accessioned
2018-06-08T10:33:11Z
dc.date.available
2017-06-16T09:36:03.039Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/20638
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-23939
dc.description.abstract
Background Evolution of metastatic melanoma (MM) under B-RAF inhibitors
(BRAFi) is unpredictable, but anticipation is crucial for therapeutic
decision. Kinetics changes in metastatic growth are driven by molecular and
immune events, and thus we hypothesized that they convey relevant information
for decision making. Patients and methods We used a retrospective cohort of 37
MM patients treated by BRAFi only with at least 2 close CT-scans available
before BRAFi, as a model to study kinetics of metastatic growth before, under
and after BRAFi. All metastases (mets) were individually measured at each CT-
scan. From these measurements, different measures of growth kinetics of each
met and total tumor volume were computed at different time points. A
historical cohort permitted to build a reference model for the expected
spontaneous disease kinetics without BRAFi. All variables were included in Cox
and multistate regression models for survival, to select best candidates for
predicting overall survival. Results Before starting BRAFi, fast kinetics and
moreover a wide range of kinetics (fast and slow growing mets in a same
patient) were pejorative markers. At the first assessment after BRAFi
introduction, high heterogeneity of kinetics predicted short survival, and
added independent information over RECIST progression in multivariate
analysis. Metastatic growth rates after BRAFi discontinuation was usually not
faster than before BRAFi introduction, but they were often more heterogeneous
than before. Conclusions Monitoring kinetics of different mets before and
under BRAFi by repeated CT-scan provides information for predictive
mathematical modelling. Disease kinetics deserves more interest
en
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
Study of metastatic kinetics in metastatic melanoma treated with B-RAF
inhibitors
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
PLoS ONE. - 12 (2017), 5, Artikel Nr. e0176080
dc.title.subtitle
Introducing mathematical modelling of kinetics into the therapeutic decision
dcterms.bibliographicCitation.doi
10.1371/journal.pone.0176080
dcterms.bibliographicCitation.url
http://doi.org/10.1371/journal.pone.0176080
refubium.affiliation
Biologie, Chemie, Pharmazie
de
refubium.mycore.fudocsId
FUDOCS_document_000000027198
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000008334
dcterms.accessRights.openaire
open access