Literature DB >> 25701374

Assessment of Sunitinib-Induced Toxicities and Clinical Outcomes Based on Therapeutic Drug Monitoring of Sunitinib for Patients With Renal Cell Carcinoma.

Satoshi Noda1, Takashi Otsuji2, Masato Baba3, Tetsuya Yoshida3, Susumu Kageyama3, Keisei Okamoto3, Yusaku Okada3, Akihiro Kawauchi3, Hiroyuki Onishi4, Daiki Hira1, Shin-Ya Morita1, Tomohiro Terada5.   

Abstract

BACKGROUND: Sunitinib has been approved for the treatment of metastatic renal cell carcinoma (RCC). Sunitinib pharmacokinetics shows a large interpatient variability. PATIENTS AND METHODS: A retrospective, observational clinical study of 21 patients with RCC was performed. Sunitinib was administered for 4 weeks of a 6-week cycle for the first cycle. We evaluated the association of sunitinib-induced toxicities and clinical outcomes with the trough total sunitinib concentration in a steady state during the first cycle.
RESULTS: The median total sunitinib concentration was 91.8 ng/mL (range, 49.8-205 ng/mL). There was an association between total sunitinib concentration and the severity of thrombocytopenia, anorexia, and fatigue. Patients with ≥ 100 ng/mL total sunitinib (n = 8), compared with patients with < 100 ng/mL (n = 13), had a greater incidence of Grade ≥ 3 toxicities (6 patients [75.0%] vs. 3 patients [23.1%]). Patients with < 100 ng/mL total sunitinib had significantly longer time to treatment failure (TTF) and progression-free survival (PFS) time than patients with ≥ 100 ng/mL (median TTF, 590 vs. 71 days; P = .04; median PFS, 748 vs. 238 days; P = .02).
CONCLUSION: Results of this study suggest that therapeutic drug monitoring of sunitinib could be useful for avoiding severe toxicities. Dose reduction might be needed, especially when the total sunitinib concentration is ≥ 100 ng/mL, to avoid unnecessary early discontinuation of treatment.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Individualized pharmacotherpy; Kidney cancer; Pharmacokinetics; Tolerability; Tyrosine kinase inhibitor

Mesh:

Substances:

Year:  2015        PMID: 25701374     DOI: 10.1016/j.clgc.2015.01.007

Source DB:  PubMed          Journal:  Clin Genitourin Cancer        ISSN: 1558-7673            Impact factor:   2.872


  20 in total

Review 1.  Genetic polymorphisms associated with adverse reactions of molecular-targeted therapies in renal cell carcinoma.

Authors:  Kazuhiro Yamamoto; Ikuko Yano
Journal:  Med Oncol       Date:  2018-01-04       Impact factor: 3.064

2.  Contribution of UGT1A1 genetic polymorphisms related to axitinib pharmacokinetics to safety and efficacy in patients with renal cell carcinoma.

Authors:  Ryoma Igarashi; Takamitsu Inoue; Nobuhiro Fujiyama; Norihiko Tsuchiya; Kazuyuki Numakura; Hideaki Kagaya; Mitsuru Saito; Shintaro Narita; Shigeru Satoh; Takenori Niioka; Masatomo Miura; Tomonori Habuchi
Journal:  Med Oncol       Date:  2018-03-09       Impact factor: 3.064

3.  Precision Dosing of Targeted Therapies Is Ready for Prime Time.

Authors:  Neeltje Steeghs; Alwin D R Huitema; Stefanie L Groenland; Remy B Verheijen; Markus Joerger; Ron H J Mathijssen; Alex Sparreboom; Jos H Beijnen; Jan H Beumer
Journal:  Clin Cancer Res       Date:  2021-09-21       Impact factor: 12.531

4.  Feasibility of therapeutic drug monitoring of sunitinib and its implications on response and toxicity in patients with metastatic renal cell cancer.

Authors:  Khushboo A Gandhi; Amit Joshi; Parsshava Mehta; Murari Gurjar; Pallavi Rane; Jyoti Sharma; Anand Patil; Manjunath Nookala; Vanita Noronha; Kumar Prabhash; Vikram Gota
Journal:  Cancer Chemother Pharmacol       Date:  2022-04-19       Impact factor: 3.288

5.  Sunitinib-induced hypertension in CYP3A4 rs4646437 A-allele carriers with metastatic renal cell carcinoma.

Authors:  M H Diekstra; A Belaustegui; J J Swen; E Boven; D Castellano; H Gelderblom; R H Mathijssen; J García-Donas; C Rodríguez-Antona; B I Rini; H-J Guchelaar
Journal:  Pharmacogenomics J       Date:  2016-01-26       Impact factor: 3.550

6.  STAT3 polymorphism rs4796793 may be a predictive factor of tumor response to multiple tyrosine kinase inhibitors in metastatic renal cell carcinoma in Japanese population.

Authors:  Kazuhiro Yamamoto; Takeshi Ioroi; Kazuya Kanaya; Kazuaki Shinomiya; Shiho Komoto; Sachi Hirata; Kenichi Harada; Aimi Watanabe; Manabu Suno; Tatsuya Nishioka; Manabu Kume; Hiroo Makimoto; Tsutomu Nakagawa; Takeshi Hirano; Hideaki Miyake; Masato Fujisawa; Midori Hirai
Journal:  Med Oncol       Date:  2016-01-30       Impact factor: 3.064

Review 7.  Influence of Tyrosine Kinase Inhibitors on Hypertension and Nephrotoxicity in Metastatic Renal Cell Cancer Patients.

Authors:  Aleksandra Semeniuk-Wojtaś; Arkadiusz Lubas; Rafał Stec; Cezary Szczylik; Stanisław Niemczyk
Journal:  Int J Mol Sci       Date:  2016-12-09       Impact factor: 5.923

8.  Severe toxicity induced by accumulation of active sunitinib metabolite in a Japanese patient with renal cell carcinoma: a case report.

Authors:  Shinya Takasaki; Masafumi Kikuchi; Yoshihide Kawasaki; Akihiro Ito; Yoichi Arai; Hiroaki Yamaguchi; Nariyasu Mano
Journal:  J Med Case Rep       Date:  2017-02-01

9.  Pharmacogenomic Markers of Targeted Therapy Toxicity in Patients with Metastatic Renal Cell Carcinoma.

Authors:  Guillermo de Velasco; Kathryn P Gray; Lana Hamieh; Yuksel Urun; Hallie A Carol; Andre P Fay; Sabina Signoretti; David J Kwiatkowski; David F McDermott; Matthew Freedman; Mark M Pomerantz; Toni K Choueiri
Journal:  Eur Urol Focus       Date:  2016-04-23

10.  Clinical-Based vs. Model-Based Adaptive Dosing Strategy: Retrospective Comparison in Real-World mRCC Patients Treated with Sunitinib.

Authors:  Florent Ferrer; Jonathan Chauvin; Bénédicte DeVictor; Bruno Lacarelle; Jean-Laurent Deville; Joseph Ciccolini
Journal:  Pharmaceuticals (Basel)       Date:  2021-05-24
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