Literature DB >> 35441269

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

Khushboo A Gandhi1, Amit Joshi2,3, Parsshava Mehta1, Murari Gurjar1, Pallavi Rane4, Jyoti Sharma1, Anand Patil1,3, Manjunath Nookala1,3, Vanita Noronha2,3, Kumar Prabhash2,3, Vikram Gota5,6.   

Abstract

PURPOSE: Sunitinib is an oral tyrosine kinase inhibitor approved for the treatment of metastatic renal cell carcinoma (mRCC). High variability in pharmacokinetics coupled with a proven exposure-effect relationship makes sunitinib an ideal candidate for therapeutic drug monitoring (TDM). The feasibility of TDM of sunitinib in patients with mRCC was evaluated in this prospective observational study in a real-world scenario.
METHODS: Seventy patients with mRCC treated with sunitinib at a fixed dose of 50 mg per day were enrolled in the study. Total trough plasma level (TTL) of sunitinib (sunitinib and its active metabolite, SU12662), was measured between days 14/15 of cycle 1. The discriminatory potential of TTL of sunitinib for the prediction of responders and occurrence of grade ≥ 3 toxicity was determined using receiver operating characteristic (ROC) curve.
RESULTS: The median TTL of sunitinib was 76 ng/mL. Forty six out of 70 patients were evaluable for response, whereas 60 out of 70 patients were evaluable for toxicity. Threshold concentrations obtained from ROC analysis showed that TTL of 60.75 ng/mL and 82.3 ng/mL was discriminatory for response and occurrence of grade ≥ 3 toxicity respectively. 31/34 (91.7%) patients having TTL ≥ 60.75 ng/mL responded to treatment, while only 5/12 (41.6%) responded when TTL was < 60.75 ng/mL (P = 0.001). On the other hand, the incidence of grade ≥ 3 toxicity was 9/24 (37.7%) in patients with TTL ≥ 82.3 ng/mL compared to 4/36 (11.1%) in patients with TTL < 82.3 ng/mL (P = 0.024).
CONCLUSION: The TTL range of 60.75-82.3 ng/mL was found to be optimal in terms of safety and efficacy. More than 50% of patients in our cohort attained TTL of sunitinib outside the optimal range, thus demonstrating the feasibility of TDM to improve safety and efficacy of sunitinib in mRCC.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Objective response; Receiver operating characteristic curve; SU12662; Sunitinib; Therapeutic drug monitoring; Toxicity

Mesh:

Substances:

Year:  2022        PMID: 35441269     DOI: 10.1007/s00280-022-04432-4

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.288


  17 in total

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

Authors:  Satoshi Noda; Takashi Otsuji; Masato Baba; Tetsuya Yoshida; Susumu Kageyama; Keisei Okamoto; Yusaku Okada; Akihiro Kawauchi; Hiroyuki Onishi; Daiki Hira; Shin-Ya Morita; Tomohiro Terada
Journal:  Clin Genitourin Cancer       Date:  2015-01-21       Impact factor: 2.872

Review 2.  Approval summary: sunitinib for the treatment of imatinib refractory or intolerant gastrointestinal stromal tumors and advanced renal cell carcinoma.

Authors:  Vicki L Goodman; Edwin P Rock; Ramzi Dagher; Roshni P Ramchandani; Sophia Abraham; Jogarao V S Gobburu; Brian P Booth; S Leigh Verbois; David E Morse; Cheng Yi Liang; Nallaperumal Chidambaram; Janet X Jiang; Shenghui Tang; Kooros Mahjoob; Robert Justice; Richard Pazdur
Journal:  Clin Cancer Res       Date:  2007-03-01       Impact factor: 12.531

3.  Safety, pharmacokinetic, and antitumor activity of SU11248, a novel oral multitarget tyrosine kinase inhibitor, in patients with cancer.

Authors:  Sandrine Faivre; Catherine Delbaldo; Karina Vera; Caroline Robert; Stéphanie Lozahic; Nathalie Lassau; Carlo Bello; Samuel Deprimo; Nicoletta Brega; Giorgio Massimini; Jean-Pierre Armand; Paul Scigalla; Eric Raymond
Journal:  J Clin Oncol       Date:  2005-11-28       Impact factor: 44.544

Review 4.  Therapeutic Drug Monitoring of Sunitinib in Gastrointestinal Stromal Tumors and Metastatic Renal Cell Carcinoma in Adults-A Review.

Authors:  Regina Demlová; Miroslav Turjap; Ondřej Peš; Katarína Kostolanská; Jan Juřica
Journal:  Ther Drug Monit       Date:  2020-02       Impact factor: 3.681

Review 5.  Relationship between exposure to sunitinib and efficacy and tolerability endpoints in patients with cancer: results of a pharmacokinetic/pharmacodynamic meta-analysis.

Authors:  Brett E Houk; Carlo L Bello; Bill Poland; Lee S Rosen; George D Demetri; Robert J Motzer
Journal:  Cancer Chemother Pharmacol       Date:  2009-12-05       Impact factor: 3.333

6.  Clinical evaluation of continuous daily dosing of sunitinib malate in patients with advanced gastrointestinal stromal tumour after imatinib failure.

Authors:  S George; J Y Blay; P G Casali; A Le Cesne; P Stephenson; S E Deprimo; C S Harmon; C N J Law; J A Morgan; I Ray-Coquard; V Tassell; D P Cohen; G D Demetri
Journal:  Eur J Cancer       Date:  2009-03-11       Impact factor: 9.162

7.  FDA approval summary: sunitinib for the treatment of progressive well-differentiated locally advanced or metastatic pancreatic neuroendocrine tumors.

Authors:  Gideon M Blumenthal; Patricia Cortazar; Jenny J Zhang; Shenghui Tang; Rajeshwari Sridhara; Anthony Murgo; Robert Justice; Richard Pazdur
Journal:  Oncologist       Date:  2012-07-26

8.  Plasma concentrations of tyrosine kinase inhibitors imatinib, erlotinib, and sunitinib in routine clinical outpatient cancer care.

Authors:  Nienke A G Lankheet; Lotte M Knapen; Jan H M Schellens; Jos H Beijnen; Neeltje Steeghs; Alwin D R Huitema
Journal:  Ther Drug Monit       Date:  2014-06       Impact factor: 3.681

9.  RandomizEd phase II trial of Sunitinib four weeks on and two weeks off versus Two weeks on and One week off in metastatic clear-cell type REnal cell carcinoma: RESTORE trial.

Authors:  J L Lee; M K Kim; I Park; J-H Ahn; D H Lee; H M Ryoo; C Song; B Hong; J H Hong; H Ahn
Journal:  Ann Oncol       Date:  2015-09-07       Impact factor: 32.976

10.  Integrating Histologic and Genomic Characteristics to Predict Tumor Mutation Burden of Early-Stage Non-Small-Cell Lung Cancer.

Authors:  Yuan Qiu; Liping Liu; Haihong Yang; Hanzhang Chen; Qiuhua Deng; Dakai Xiao; Yongping Lin; Changbin Zhu; Weiwei Li; Di Shao; Wenxi Jiang; Kui Wu; Jianxing He
Journal:  Front Oncol       Date:  2021-04-30       Impact factor: 6.244

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