Correlation of KIT and PDGFRA mutational status with clinical benefit in patients with gastrointestinal stromal tumor treated with sunitinib in a worldwide treatment-use trial

Background: Several small studies indicated that the genotype of KIT or platelet-derived growth factor receptor-α (PDGFRA) contributes in part to the level of clinical effectiveness of sunitinib in gastrointestinal stromal tumor (GIST) patients. This study aimed to correlate KIT and PDGFRA mutational status with clinical outcome metrics (progression-free survival [PFS], overall survival [OS], objective response rate [ORR]) in a larger international patient population. Methods: This is a non-interventional, retrospective analysis in patients with imatinib-resistant or intolerant GIST who were treated in a worldwide, open-label treatment-use study (Study 1036; NCT00094029) in which sunitinib was administered at a starting dose of 50 mg/day on a 4-week-on, 2-week-off schedule. Molecular status was obtained in local laboratories with tumor samples obtained either pre-imatinib, post-imatinib/pre-sunitinib, or post-sunitinib treatment, and all available data were used in the analyses regardless of collection time. The primary analysis compared PFS in patients with primary KIT exon 11 versus exon 9 mutations (using a 2-sided log-rank test) and secondary analyses compared OS (using the same test) and ORR (using a 2-sided Pearson χ2 test) in the same molecular subgroups. Results: Of the 1124 sunitinib-treated patients in the treatment-use study, 230 (20 %) were included in this analysis, and baseline characteristics were similar between the two study populations. Median PFS was 7.1 months. A significantly better PFS was observed in patients with a primary mutation in KIT exon 9 (n = 42) compared to those with a primary mutation in exon 11 (n = 143; hazard ratio = 0.59; 95 % confidence interval, 0.39–0.89; P = 0.011), with median PFS times of 12.3 and 7.0 months, respectively. Similarly, longer OS and higher ORR were observed in patients with a primary KIT mutation in exon 9 versus exon 11. The data available were limited to investigate the effects of additional KIT or PDGFRA mutations on the efficacy of sunitinib treatment. Conclusions: This large retrospective analysis confirms the prognostic significance of KIT mutation status in patients with GIST. This analysis also confirms the effectiveness of sunitinib as a post-imatinib therapy, regardless of mutational status. Trial registration NCT01459757. Electronic supplementary material The online version of this article (doi:10.1186/s12885-016-2051-5) contains supplementary material, which is available to authorized users.

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PID handle:1887/112892
PID urn:URN:NBN:NL:UI:26-1887/112892
PID https://www.doi.org/10.1186/s12885-016-2051-5
PID pmc:PMC4714485
PID pmid:26772734
PID https://www.doi.org/10.1186/s12885-016-2051-5.
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URL http://europepmc.org/abstract/MED/26772734
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URL https://dx.doi.org/10.1186/s12885-016-2051-5
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URL http://dx.doi.org/10.1186/s12885-016-2051-5
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URL https://paperity.org/p/75159291/correlation-of-kit-and-pdgfra-mutational-status-with-clinical-benefit-in-patients-with
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Author Jean-Yves Blay, 0000-0001-7190-120X
Author Michael Heinrich, 0000-0003-3790-0478
Author Piotr Rutkowski, 0000-0002-8920-5429
Contributor Leids Universitair Medisch Centrum [Leiden, The Netherlands]
Contributor Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology (MCMCC)
Contributor Tata Memorial Centre
Contributor Asan Medical Center [Seoul] ; University of Ulsan
Contributor Department of General Medical Oncology [Leuven] ; University Hospitals Leuven [Leuven]
Contributor Centre Hospitalier de l'Université de Montréal (CHUM) ; Université de Montréal (UdeM)
Contributor Centre Léon Bérard [Lyon]
Contributor Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL) ; Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Contributor Department of Remote Sensing, School of Remote Sensing and Information Engineering Wuhan University ; Wuhan University [China]
Contributor Centre Hospitalier de l'Université de Montréal (CHUM)
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Collected From ORCID; Datacite; INRIA a CCSD electronic archive server; Lirias; Mémoires en Sciences de l'Information et de la Communication; Microsoft Academic Graph; Digital Access to Scholarship at Harvard; CORE (RIOXX-UK Aggregator); Europe PubMed Central; PubMed Central; UnpayWall; NARCIS; Hyper Article en Ligne; Crossref
Hosted By Europe PubMed Central; SpringerOpen; BMC Cancer; Leiden University Repository; INRIA a CCSD electronic archive server; NARCIS; Hyper Article en Ligne; Lirias; Mémoires en Sciences de l'Information et de la Communication; Digital Access to Scholarship at Harvard
Publication Date 2016-12-01
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::546e157133ec61e19e89fdbeaaf0c7fe
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Last Updated 25 December 2020, 14:24 (CET)
Created 25 December 2020, 14:24 (CET)