Literature DB >> 34410448

Impacts of cachexia progression in addition to serum IgG and blood lymphocytes on serum nivolumab in advanced cancer patients.

Kazuki Abe1, Kaito Shibata1, Takafumi Naito2,3, Atsushi Otsuka4, Masato Karayama5, Masato Maekawa6, Hideaki Miyake4, Takafumi Suda7, Junichi Kawakami1.   

Abstract

PURPOSE: Serum nivolumab concentrations exhibit a large variation in cancer patients. Cancer cachexia inducing systemic inflammation promotes the elimination of endogenous proteins, while its association with serum nivolumab remains unclear. The present study aimed to evaluate the impacts of cachexia progression in addition to blood components on serum nivolumab in cancer patients.
METHODS: Thirty-eight non-small-cell lung cancer or renal cell cancer patients receiving biweekly intravenous nivolumab were enrolled. Blood samples were collected just before dosing at the 7th administration of nivolumab or later. Serum nivolumab together with serum proteins, inflammatory markers, and peripheral blood leukocytes were determined. Cancer cachexia was classified using the Glasgow Prognostic Score (GPS). Immune-related adverse events (irAEs) were monitored during the study period.
RESULTS: Cancer patients had a large variation in serum nivolumab concentrations (interquartile range, 12-21 µg/mL per mg/kg). The serum nivolumab concentration was positively correlated with serum albumin, while negatively associated with serum globulin and immunoglobulin G (IgG). A negative correlation was observed between serum nivolumab and blood lymphocytes. Regarding cachexia progression, the patients with GPS 2 had a higher serum interleukin-6 concentration and a lower serum nivolumab concentration than those with GPS 0 or 1. The GPS, serum IgG, and blood lymphocytes were identified as independent variables for serum nivolumab. The incidence of irAEs was not associated with the nivolumab dose or serum nivolumab.
CONCLUSION: Cachexia progression had a negative impact on serum nivolumab in cancer patients. The interindividual variation in serum nivolumab was characterized by cachexia progression in addition to blood components.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Cachexia; Cancer; Immunoglobulin G; Lymphocyte; Nivolumab; Pharmacokinetics

Mesh:

Substances:

Year:  2021        PMID: 34410448     DOI: 10.1007/s00228-021-03199-6

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  40 in total

1.  Development and validation of an ELISA method for the quantification of nivolumab in plasma from non-small-cell lung cancer patients.

Authors:  Alicja Puszkiel; Gaëlle Noé; Pascaline Boudou-Rouquette; Chloé Le- Cossec; Jennifer Arrondeau; Jean-Stephane Giraud; Audrey Thomas-Schoemann; Jérôme Alexandre; Michel Vidal; François Goldwasser; Benoit Blanchet
Journal:  J Pharm Biomed Anal       Date:  2017-02-24       Impact factor: 3.935

2.  Influence of whole body protein turnover rate on resting energy expenditure in patients with cancer.

Authors:  K C Fearon; D T Hansell; T Preston; J A Plumb; J Davies; D Shapiro; A Shenkin; K C Calman; H J Burns
Journal:  Cancer Res       Date:  1988-05-01       Impact factor: 12.701

3.  Correlation between nivolumab exposure and treatment outcomes in non-small-cell lung cancer.

Authors:  Edwin A Basak; Stijn L W Koolen; Daan P Hurkmans; Marco W J Schreurs; Sander Bins; Esther Oomen-de Hoop; Annemarie J M Wijkhuijs; Ilse den Besten; Stefan Sleijfer; Reno Debets; Astrid A M van der Veldt; Joachim G J V Aerts; Ron H J Mathijssen
Journal:  Eur J Cancer       Date:  2019-01-14       Impact factor: 9.162

Review 4.  FcRn: the neonatal Fc receptor comes of age.

Authors:  Derry C Roopenian; Shreeram Akilesh
Journal:  Nat Rev Immunol       Date:  2007-08-17       Impact factor: 53.106

Review 5.  Elimination mechanisms of therapeutic monoclonal antibodies.

Authors:  Mohammad A Tabrizi; Chih-Ming L Tseng; Lorin K Roskos
Journal:  Drug Discov Today       Date:  2006-01       Impact factor: 7.851

6.  Nivolumab dose selection: challenges, opportunities, and lessons learned for cancer immunotherapy.

Authors:  Shruti Agrawal; Yan Feng; Amit Roy; Georgia Kollia; Brian Lestini
Journal:  J Immunother Cancer       Date:  2016-11-15       Impact factor: 13.751

7.  Tumor-Induced IL-6 Reprograms Host Metabolism to Suppress Anti-tumor Immunity.

Authors:  Thomas R Flint; Tobias Janowitz; Claire M Connell; Edward W Roberts; Alice E Denton; Anthony P Coll; Duncan I Jodrell; Douglas T Fearon
Journal:  Cell Metab       Date:  2016-11-08       Impact factor: 27.287

Review 8.  Pharmacokinetics of Monoclonal Antibodies.

Authors:  Josiah T Ryman; Bernd Meibohm
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-07-29

Review 9.  PD-1 and PD-L1 Checkpoint Signaling Inhibition for Cancer Immunotherapy: Mechanism, Combinations, and Clinical Outcome.

Authors:  Hashem O Alsaab; Samaresh Sau; Rami Alzhrani; Katyayani Tatiparti; Ketki Bhise; Sushil K Kashaw; Arun K Iyer
Journal:  Front Pharmacol       Date:  2017-08-23       Impact factor: 5.810

10.  An in vitro FcRn- dependent transcytosis assay as a screening tool for predictive assessment of nonspecific clearance of antibody therapeutics in humans.

Authors:  Shan Chung; Van Nguyen; Yuwen Linda Lin; Julien Lafrance-Vanasse; Suzie J Scales; Kevin Lin; Rong Deng; Kathi Williams; Gizette Sperinde; Juan Jenny Li; Kai Zheng; Siddharth Sukumaran; Devin Tesar; James A Ernst; Saloumeh Fischer; Greg A Lazar; Saileta Prabhu; An Song
Journal:  MAbs       Date:  2019-04-29       Impact factor: 5.857

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  1 in total

1.  Association between Nutritional Status and Treatment Response and Survival in Patients Treated with Immunotherapy for Lung Cancer: A Retrospective French Study.

Authors:  Manon Gouez; Lidia Delrieu; Carole Bouleuc; Nicolas Girard; Bruno Raynard; Timothée Marchal
Journal:  Cancers (Basel)       Date:  2022-07-15       Impact factor: 6.575

  1 in total

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