Literature DB >> 28028730

Exposure-Response and Tumor Growth Inhibition Analyses of the Monovalent Anti-c-MET Antibody Onartuzumab (MetMAb) in the Second- and Third-Line Non-Small Cell Lung Cancer.

Kelong Han1, Pascal Chanu2, Fredrik Jonsson3, Helen Winter4, René Bruno5, Jin Jin4, Mark Stroh4.   

Abstract

The phase III trial comparing onartuzumab + erlotinib vs. erlotinib in the second- and third-line non-small cell lung cancer (NSCLC) did not meet its primary endpoint of overall survival (OS). The objective was to assess whether doses higher than the phase III dose (15 mg/kg) might yield better efficacy without compromising the safety profile. Data were from 636 patients from the phase II and III NSCLC studies. Tumor growth inhibition (TGI) models were fit to longitudinal tumor size data to estimate individual TGI metrics including time to tumor re-growth (TTG). Cox regression models were developed for time-to-event endpoints (progression-free survival (PFS), OS, and TTG) to investigate relationships with baseline prognostic factors and onartuzumab exposure. Incidence of adverse events was modeled by logistic regression. In the final models, higher onartuzumab exposure was associated with longer PFS, but not with longer OS. Longer OS was associated with higher baseline albumin, longer TTG, smaller number of metastatic sites, female gender, lower ECOG score, and younger age. TTG was the only TGI metric retained in the final OS model. Onartuzumab exposure was not significantly associated with TTG after adjusting for prognostic factors. Higher Cmin was associated with increased incidence of infusion reactions and peripheral edema. Higher onartuzumab exposure was not significantly associated with improved OS after adjusting for prognostic factors and TTG, and there was a trend of unknown clinical significance toward increased incidence of infusion reactions and peripheral edema. These results did not support testing higher onartuzumab doses.

Entities:  

Keywords:  Cox regression; NSCLC; exposure–response; onartuzumab; survival model; time to tumor re-growth; tumor growth inhibition

Mesh:

Substances:

Year:  2016        PMID: 28028730     DOI: 10.1208/s12248-016-0029-5

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  25 in total

1.  Importance of shrinkage in empirical bayes estimates for diagnostics: problems and solutions.

Authors:  Radojka M Savic; Mats O Karlsson
Journal:  AAPS J       Date:  2009-08-01       Impact factor: 4.009

2.  Exposure-response relationship of AMG 386 in combination with weekly paclitaxel in recurrent ovarian cancer and its implication for dose selection.

Authors:  Jian-Feng Lu; Erik Rasmussen; Beth Y Karlan; Ignace B Vergote; Lynn Navale; Mita Kuchimanchi; Rebeca Melara; Daniel E Stepan; David M Weinreich; Yu-Nien Sun
Journal:  Cancer Chemother Pharmacol       Date:  2012-01-01       Impact factor: 3.333

3.  Role of HGF/c-met system in invasion and metastasis of oral squamous cell carcinoma cells in vitro and its clinical significance.

Authors:  D Uchida; H Kawamata; F Omotehara; T Kimura-Yanagawa; S Hino; N M Begum; M O Hoque; H Yoshida; M Sato; T Fujimori
Journal:  Int J Cancer       Date:  2001-08-15       Impact factor: 7.396

4.  Novel mutations of the MET proto-oncogene in papillary renal carcinomas.

Authors:  L Schmidt; K Junker; N Nakaigawa; T Kinjerski; G Weirich; M Miller; I Lubensky; H P Neumann; H Brauch; J Decker; C Vocke; J A Brown; R Jenkins; S Richard; U Bergerheim; B Gerrard; M Dean; W M Linehan; B Zbar
Journal:  Oncogene       Date:  1999-04-08       Impact factor: 9.867

5.  Overexpression of the c-Met/HGF receptor and its prognostic significance in uterine cervix carcinomas.

Authors:  Cem Baykal; Ayşe Ayhan; Atakan Al; Kunter Yüce; Ali Ayhan
Journal:  Gynecol Oncol       Date:  2003-02       Impact factor: 5.482

6.  Tumor regression and growth rates determined in five intramural NCI prostate cancer trials: the growth rate constant as an indicator of therapeutic efficacy.

Authors:  Wilfred D Stein; James L Gulley; Jeff Schlom; Ravi A Madan; William Dahut; William D Figg; Yang-Min Ning; Phil M Arlen; Doug Price; Susan E Bates; Tito Fojo
Journal:  Clin Cancer Res       Date:  2010-11-24       Impact factor: 12.531

7.  Novel mutation in the ATP-binding site of the MET oncogene tyrosine kinase in a HPRCC family.

Authors:  M Olivero; G Valente; A Bardelli; P Longati; N Ferrero; C Cracco; C Terrone; S Rocca-Rossetti; P M Comoglio; M F Di Renzo
Journal:  Int J Cancer       Date:  1999-08-27       Impact factor: 7.396

8.  Population pharmacokinetic analysis from phase I and phase II studies of the humanized monovalent antibody, onartuzumab (MetMAb), in patients with advanced solid tumors.

Authors:  Yan Xin; Denise Jin; Stephen Eppler; Lisa A Damico-Beyer; Amita Joshi; John D Davis; Surinder Kaur; Ihsan Nijem; John Bothos; Amy Peterson; Premal Patel; Shuang Bai
Journal:  J Clin Pharmacol       Date:  2013-08-07       Impact factor: 3.126

9.  Expression of c-met/HGF receptor in human non-small cell lung carcinomas in vitro and in vivo and its prognostic significance.

Authors:  E Ichimura; A Maeshima; T Nakajima; T Nakamura
Journal:  Jpn J Cancer Res       Date:  1996-10

10.  The tumour-stromal interaction between intratumoral c-Met and stromal hepatocyte growth factor associated with tumour growth and prognosis in non-small-cell lung cancer patients.

Authors:  D Masuya; C Huang; D Liu; T Nakashima; K Kameyama; R Haba; M Ueno; H Yokomise
Journal:  Br J Cancer       Date:  2004-04-19       Impact factor: 7.640

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  3 in total

Review 1.  Drug Exposure to Establish Pharmacokinetic-Response Relationships in Oncology.

Authors:  Belén P Solans; María Jesús Garrido; Iñaki F Trocóniz
Journal:  Clin Pharmacokinet       Date:  2020-02       Impact factor: 6.447

2.  Clinicopathological and prognostic significance of c-Met overexpression in breast cancer.

Authors:  Xixi Zhao; Jingkun Qu; Yuxin Hui; Hong Zhang; Yuchen Sun; Xu Liu; Xiaoyao Zhao; Zitong Zhao; Qian Yang; Feidi Wang; Shuqun Zhang
Journal:  Oncotarget       Date:  2017-05-24

Review 3.  Characterizing Exposure-Response Relationship for Therapeutic Monoclonal Antibodies in Immuno-Oncology and Beyond: Challenges, Perspectives, and Prospects.

Authors:  Haiqing Isaac Dai; Yulia Vugmeyster; Naveen Mangal
Journal:  Clin Pharmacol Ther       Date:  2020-08-02       Impact factor: 6.875

  3 in total

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