dc.contributor.author
Ralla, Bernhard
dc.contributor.author
Busch, Jonas
dc.contributor.author
Flörcken, Anne
dc.contributor.author
Westermann, Jörg
dc.contributor.author
Zhao, Zhongwei
dc.contributor.author
Kilic, Ergin
dc.contributor.author
Weickmann, Sabine
dc.contributor.author
Jung, Monika
dc.contributor.author
Fendler, Annika
dc.contributor.author
Jung, Klaus
dc.date.accessioned
2019-04-09T09:33:53Z
dc.date.available
2019-04-09T09:33:53Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/24332
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-2104
dc.description.abstract
Approximately 20-30% of patients with metastatic renal cell carcinoma (mRCC) in first-line treatment with tyrosine kinase inhibitors (TKIs) do not respond due to primary resistance to this drug. At present, suitable robust biomarkers for prediction of a response are not available. Therefore, the aim of this study was to evaluate a panel of microRNAs (miRNAs) in nephrectomy specimens for use as predictive biomarkers for TKI resistance. Archived formalin-fixed, paraffin embedded nephrectomy samples from 60 mRCC patients treated with first-line TKIs (sunitinib, n = 51; pazopanib, n = 6; sorafenib, n = 3) were categorized into responders and non-responders. Using the standard Response Evaluation Criteria in Solid Tumors, patients with progressive disease within 3 months after the start of treatment with TKI were considered as non-responders and those patients with stable disease and complete or partial response under the TKI treatment for at least 6 months as responders. Based on a miRNA microarray expression profile in the two stratified groups of patients, seven differentially expressed miRNAs were validated using droplet digital reverse-transcription quantitative real-time polymerase chain reaction (RT-qPCR) assays in the two groups. Receiver operating characteristic curve analysis and binary logistic regression of response prediction were performed. MiR-9-5p and miR-489-3p were able to discriminate between the two groups. MiR-9-5p, as the most significant miRNA, improved the correct prediction of primary resistance against TKIs in comparison to that of conventional clinicopathological variables. The results of the decision curve analyses, Kaplan-Meier analyses and Cox regression analyses confirmed the potential of miR-9-5p in the prediction of response to TKIs and the prediction of progression-free survival after the initiation of TKI treatment.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
renal cell carcinoma
en
dc.subject
tyrosine kinase inhibitors
en
dc.subject
primary resistance
en
dc.subject
prognostic indicator
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
miR-9-5p in Nephrectomy Specimens is a Potential Predictor of Primary Resistance to First-Line Treatment with Tyrosine Kinase Inhibitors in Patients with Metastatic Renal Cell Carcinoma
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
321
dcterms.bibliographicCitation.doi
10.3390/cancers10090321
dcterms.bibliographicCitation.journaltitle
Cancers
dcterms.bibliographicCitation.number
9
dcterms.bibliographicCitation.originalpublishername
MDPI AG
dcterms.bibliographicCitation.volume
10
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
30201928
dcterms.isPartOf.issn
2072-6694