Literature DB >> 30471649

Impact of dose interruption on the efficacy of lenvatinib in a phase 3 study in patients with radioiodine-refractory differentiated thyroid cancer.

Makoto Tahara1, Marcia S Brose2, Lori J Wirth3, Takuya Suzuki4, Hideaki Miyagishi4, Katsuki Fujino4, Corina E Dutcus5, Andrew Gianoukakis6.   

Abstract

BACKGROUND: In the phase 3 Study of (E7080) Lenvatinib in Differentiated Cancer of the Thyroid (SELECT), lenvatinib significantly improved efficacy outcomes versus placebo in patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC). Lenvatinib-treated patients had more adverse events (AEs), which were generally managed with dose modifications, including dose interruption. This exploratory post hoc analysis investigated the impact of dose interruption on lenvatinib efficacy.
METHODS: Dose modifications were required for grade 3 or intolerable grade 2 AEs in SELECT. Lenvatinib-treated patients were dichotomised based on the duration of dose interruption relative to total treatment duration: shorter dose interruption (<10% of total treatment duration) and longer dose interruption (≥10%).
RESULTS: At the time of primary data cut-off (November 15, 2013; median follow-up, 17.1 months), the median progression-free survival (PFS) for the shorter dose-interruption group had not yet been reached, whereas median PFS for the longer dose-interruption group was 12.8 months (95% confidence interval [CI], 9.3-16.5). Compared with placebo, the hazard ratios for PFS in the shorter and longer dose-interruption groups were 0.14 (95% CI, 0.09-0.20) and 0.31 (95% CI, 0.22-0.43), respectively. In a multivariate model, dose interruption was significantly associated with lenvatinib efficacy, even after adjustment for patient characteristics.
CONCLUSIONS: Lenvatinib improved efficacy outcomes versus placebo in patients with RR-DTC, regardless of the duration of dose interruption; however, those with shorter dose interruptions had a greater magnitude of benefit versus those with longer interruptions. This analysis highlights the importance of timely management of lenvatinib toxicities to minimise dose interruptions and maximise lenvatinib efficacy in patients with RR-DTC. CLINICALTRIALS. GOV NUMBER: NCT01321554.
Copyright © 2018 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Disease-free survival; Lenvatinib; MeSH terms; Thyroid neoplasms

Mesh:

Substances:

Year:  2018        PMID: 30471649     DOI: 10.1016/j.ejca.2018.10.002

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  20 in total

1.  Real-world experience of lenvatinib in patients with advanced anaplastic thyroid cancer.

Authors:  Mijin Kim; Jonghwa Ahn; Dong Eun Song; Jee Hee Yoon; Ho-Cheol Kang; Dong Jun Lim; Won Gu Kim; Tae Yong Kim; Won Bae Kim; Young Kee Shong; Min Ji Jeon; Bo Hyun Kim
Journal:  Endocrine       Date:  2020-07-29       Impact factor: 3.633

Review 2.  Multikinase inhibitors in thyroid cancer: timing of targeted therapy.

Authors:  Matti L Gild; Venessa H M Tsang; Roderick J Clifton-Bligh; Bruce G Robinson
Journal:  Nat Rev Endocrinol       Date:  2021-02-18       Impact factor: 43.330

3.  Successful dose escalation of lenvatinib for thyroid cancer after disease progression.

Authors:  Chie Masaki; Kiminori Sugino; Junko Akaishi; Kiyomi Y Hames; Chisato Tomoda; Akifumi Suzuki; Kenichi Matsuzu; Keiko Ohkuwa; Wataru Kitagawa; Mitsuji Nagahama; Koichi Ito
Journal:  Endocrine       Date:  2022-06-23       Impact factor: 3.925

Review 4.  Lenvatinib in Management of Solid Tumors.

Authors:  Zhonglin Hao; Peng Wang
Journal:  Oncologist       Date:  2019-10-14

5.  Clinicopathological Features Predict Outcomes in Patients with Radioiodine-Refractory Differentiated Thyroid Cancer Treated with Sorafenib: A Real-World Study.

Authors:  Lin Cheng; Hao Fu; Yuchen Jin; Ri Sa; Libo Chen
Journal:  Oncologist       Date:  2020-01-20

Review 6.  Lenvatinib for the Treatment of Radioiodine-Refractory Differentiated Thyroid Cancer: Treatment Optimization for Maximum Clinical Benefit.

Authors:  Lori J Wirth; Cosimo Durante; Duncan J Topliss; Eric Winquist; Eyal Robenshtok; Hiroyuki Iwasaki; Markus Luster; Rossella Elisei; Sophie Leboulleux; Makoto Tahara
Journal:  Oncologist       Date:  2022-07-05       Impact factor: 5.837

7.  Prognostic factor of lenvatinib for unresectable hepatocellular carcinoma in real-world conditions-Multicenter analysis.

Authors:  Atsushi Hiraoka; Takashi Kumada; Masanori Atsukawa; Masashi Hirooka; Kunihiko Tsuji; Toru Ishikawa; Koichi Takaguchi; Kazuya Kariyama; Ei Itobayashi; Kazuto Tajiri; Noritomo Shimada; Hiroshi Shibata; Hironori Ochi; Toshifumi Tada; Hidenori Toyoda; Kazuhiro Nouso; Akemi Tsutsui; Takuya Nagano; Norio Itokawa; Korenobu Hayama; Michitaka Imai; Kouji Joko; Yohei Koizumi; Yoichi Hiasa; Kojiro Michitaka; Masatoshi Kudo
Journal:  Cancer Med       Date:  2019-05-24       Impact factor: 4.452

8.  Impact of outpatient pharmacy interventions on management of thyroid patients receiving lenvatinib.

Authors:  Shinya Suzuki; Ai Horinouchi; Shinya Uozumi; Chihiro Matsuyama; Hayato Kamata; Asumi Kaneko; Masakazu Yamaguchi; Hiroshi Okudera; Makoto Tahara; Toshikatsu Kawasaki
Journal:  SAGE Open Med       Date:  2020-06-12

9.  REFLECT-a phase 3 trial comparing efficacy and safety of lenvatinib to sorafenib for the treatment of unresectable hepatocellular carcinoma: an analysis of Japanese subset.

Authors:  Tatsuya Yamashita; Masatoshi Kudo; Kenji Ikeda; Namiki Izumi; Ryosuke Tateishi; Masafumi Ikeda; Hiroshi Aikata; Yasunori Kawaguchi; Yoshiyuki Wada; Kazushi Numata; Yoshitaka Inaba; Ryoko Kuromatsu; Masahiro Kobayashi; Takuji Okusaka; Toshiyuki Tamai; Chifumi Kitamura; Kenichi Saito; Katsuya Haruna; Kiwamu Okita; Hiromitsu Kumada
Journal:  J Gastroenterol       Date:  2019-11-12       Impact factor: 7.527

Review 10.  Multikinase Inhibitor Treatment in Thyroid Cancer.

Authors:  Ole Vincent Ancker; Marcus Krüger; Markus Wehland; Manfred Infanger; Daniela Grimm
Journal:  Int J Mol Sci       Date:  2019-12-18       Impact factor: 5.923

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