Literature DB >> 20179212

Pharmacokinetic and pharmacodynamic modeling of an anti-interleukin-6 chimeric monoclonal antibody (siltuximab) in patients with metastatic renal cell carcinoma.

Thomas Puchalski1, Uma Prabhakar, Qun Jiao, Birge Berns, Hugh M Davis.   

Abstract

PURPOSE: Interleukin-6 (IL-6) induces tumor growth, invasion, metastasis, and angiogenesis. Siltuximab (CNTO 328) is a chimeric, murine-human monoclonal antibody that specifically binds human IL-6 with high affinity. C-reactive protein (CRP) can be a pharmacodynamic (PD) marker of IL-6 bioactivity. Reductions in CRP may correlate with clinical activity and IL-6 bioactivity. EXPERIMENTAL
DESIGN: Starting-dose selection for this study was based on a previous siltuximab study in multiple myeloma patients. Pharmacokinetic (PK)/PD modeling explored the relationship between siltuximab PK and CRP suppression following i.v. siltuximab infusion in a three-part phase I/II study in 68 metastatic renal cell carcinoma patients. Modeling results were then used to simulate and determine which siltuximab dosage regimens would maintain CRP suppression below the lower limit of quantification (4 mg/L). Siltuximab was given at 1, 3, 6, or 12 mg/kg at weeks 1 and 4 and then every 2 weeks for 2 cycles in part 1; at 3 or 6 mg/kg every 3 weeks for 4 cycles in part 2; and at 6 mg/kg every 2 weeks for 6 cycles in part 3.
RESULTS: A two-compartment PK model adequately described the serum siltuximab concentration-time data. An inhibitory indirect response PD model examined the relationship between siltuximab concentrations and CRP suppression. PD parameter estimates seemed reliable and physiologically relevant. Simulations showed that 6 mg/kg siltuximab every 2 weeks or 9 mg/kg every 3 weeks would reduce serum CRP to below 4 mg/L.
CONCLUSIONS: Using a stepwise design, PK/PD modeling was used to select the dose levels in this study. Furthermore, PK/PD modeling results were used to help select doses to be used in future siltuximab clinical development.

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Year:  2010        PMID: 20179212     DOI: 10.1158/1078-0432.CCR-09-2581

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  41 in total

1.  Trial Watch: Monoclonal antibodies in cancer therapy.

Authors:  Lorenzo Galluzzi; Erika Vacchelli; Wolf Hervé Fridman; Jerome Galon; Catherine Sautès-Fridman; Eric Tartour; Jessica Zucman-Rossi; Laurence Zitvogel; Guido Kroemer
Journal:  Oncoimmunology       Date:  2012-01-01       Impact factor: 8.110

2.  Second-generation minimal physiologically-based pharmacokinetic model for monoclonal antibodies.

Authors:  Yanguang Cao; Joseph P Balthasar; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-08-31       Impact factor: 2.745

Review 3.  Siltuximab: first global approval.

Authors:  Anthony Markham; Trina Patel
Journal:  Drugs       Date:  2014-07       Impact factor: 9.546

4.  A phase 2 multicentre study of siltuximab, an anti-interleukin-6 monoclonal antibody, in patients with relapsed or refractory multiple myeloma.

Authors:  Peter M Voorhees; Robert F Manges; Pieter Sonneveld; Sundar Jagannath; George Somlo; Amrita Krishnan; Suzanne Lentzsch; Richard C Frank; Sonja Zweegman; Pierre W Wijermans; Robert Z Orlowski; Britte Kranenburg; Brett Hall; Tineke Casneuf; Xiang Qin; Helgi van de Velde; Hong Xie; Sheeba K Thomas
Journal:  Br J Haematol       Date:  2013-02-25       Impact factor: 6.998

5.  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

6.  Population pharmacokinetics of siltuximab: impact of disease state.

Authors:  Mina Nikanjam; Jin Yang; Edmund V Capparelli
Journal:  Cancer Chemother Pharmacol       Date:  2019-09-03       Impact factor: 3.333

7.  Predicting monoclonal antibody pharmacokinetics following subcutaneous administration via whole-body physiologically-based modeling.

Authors:  Shihao Hu; David Z D'Argenio
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-06-04       Impact factor: 2.745

8.  Mechanistic pharmacokinetic/target engagement/pharmacodynamic (PK/TE/PD) modeling in deciphering interplay between a monoclonal antibody and its soluble target in cynomolgus monkeys.

Authors:  Weirong Wang; Xiaofeng Wang; Rajitha Doddareddy; Damien Fink; Thomas McIntosh; Hugh M Davis; Honghui Zhou
Journal:  AAPS J       Date:  2013-11-28       Impact factor: 4.009

9.  A phase I/II study of siltuximab (CNTO 328), an anti-interleukin-6 monoclonal antibody, in metastatic renal cell cancer.

Authors:  J-F Rossi; S Négrier; N D James; I Kocak; R Hawkins; H Davis; U Prabhakar; X Qin; P Mulders; B Berns
Journal:  Br J Cancer       Date:  2010-08-31       Impact factor: 7.640

Review 10.  Cardiovascular risk biomarkers in CKD: the inflammation link and the road less traveled.

Authors:  Usama Elewa; Maria Dolores Sanchez-Niño; Catalina Martin-Cleary; Beatriz Fernandez-Fernandez; Jesus Egido; Alberto Ortiz
Journal:  Int Urol Nephrol       Date:  2012-09-11       Impact factor: 2.370

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