Literature DB >> 32619818

A possible asymmetry at the checkpoint.

Gerard Milano1.   

Abstract

A recently published systematic review and meta-analysis indicated that anti-PD-1 treatment may confer superior survival outcomes as compared to anti-PD-L1. We propose mechanistic explanations supporting this finding. Crown
Copyright © 2020. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32619818      PMCID: PMC7330153          DOI: 10.1016/j.tranon.2020.100821

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


Immune checkpoint inhibitors targeting programmed cell death 1 (PD-1) and PD ligand 1 (PD-L1) have opened a new era of progress in cancer care for a wide range of tumor types [1]. Although the targeted molecular mechanism induced by the anti-PD-1 and anti-PD-L1 agents is the same, i.e. the reactivation of cytotoxic T cell activity, one can wonder whether the clinical activity conferred by these two categories of agents is superimposable or not. A recently published systematic review and meta-analysis indicated that anti-PD-1 treatment may confer superior survival outcomes as compared to anti-PD-L1 [2]. It is interesting to examine the potential factors able to explain this finding (Fig. 1). In a first analysis, one can advocate that with application of anti-PD-L1 the tumor may escape antitumor immune response through the PD-1/PD-L2 axis. There are other differences between anti-PD-1 and anti-PD-L1 therapeutic monoclonal antibodies (McAb) which may shed light for explaining the anti-PD-1/anti-PD-L1 differences in therapeutic impact. First, the tumoral access for McAb represents a true limitation for anti-PD-L1 targeting mainly the tumoral cells [3] but not for anti-PD1 for which the drug-lymphocyte interaction may occur in the tumor environment and at circulating level [4]. Secondly, the IgG subclasses of anti-PD-1 and anti-PD-L1 McAb differ, with anti-PD-1 belonging to IgG4 and anti-PD-L1 to IgG1 [5]. This subclass difference is of importance since only IgG1, but not IgG4, are able to develop ADCC (antibody-directed-cellular-cytotoxicity). ADCC significantly complements the cytotoxic activity conferred to McAb through a specific interaction between the Fc part of the antibody and the Fc receptor carried by immune cells [5] particularly macrophages and NK cells. In fact, anti-PD-L1 are divided between those IgG1 McAb which, like atezolizumab, have a modified Fc structure preventing ADCC (thus avoiding a potential destruction of immune cells carrying the PD-L1 target) and those which, like avelumab, maintain the full integrity of the Fc part, hence aiming to reinforce the cytotoxic activity against the tumoral cell itself [6]. Conversely, avelumab may also partly diminish the immune activity through a more or less marked destruction of immune cells due to ADCC. Indeed, elevated and variable expression of PD-L1 has been reported among tumor infiltrating B cells [7].
Fig. 1

Therapeutic monoclonal antibodies: opposite strengths for a possible asymmetry at the checkpoint.

Therapeutic monoclonal antibodies: opposite strengths for a possible asymmetry at the checkpoint. It would be therefore interesting to distinguish among retrospective studies [2] what could be the respective impacts of avelumab and atezolizumab on treatment outcome and whether avelumab itself may play a significant part in the anti-PD-L1/anti-PD-1 differential therapeutic effect. The notion of a potential therapeutic advantage in favour of anti-PD-1 agents is of importance and remains to be prospectively confirmed by appropriately designed clinical trials.

CRediT author statement

Gerard Milano: conceptualization, writing-original.

Funding

The author declares no funding for the present study.

Declaration of competing interest

The author declares an absence of conflict of interest for the present article.
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Journal:  JAMA Oncol       Date:  2020-03-01       Impact factor: 31.777

2.  PD-L1+ regulatory B cells act as a T cell suppressor in a PD-L1-dependent manner in melanoma patients with bone metastasis.

Authors:  Hao Wu; Liming Xia; Dongdong Jia; Hanhui Zou; Gu Jin; Wenkang Qian; Haichao Xu; Tao Li
Journal:  Mol Immunol       Date:  2020-01-27       Impact factor: 4.407

Review 3.  Cancer immunotherapy using checkpoint blockade.

Authors:  Antoni Ribas; Jedd D Wolchok
Journal:  Science       Date:  2018-03-22       Impact factor: 47.728

4.  T-cell invigoration to tumour burden ratio associated with anti-PD-1 response.

Authors:  Alexander C Huang; Michael A Postow; Robert J Orlowski; Rosemarie Mick; Bertram Bengsch; Sasikanth Manne; Wei Xu; Shannon Harmon; Josephine R Giles; Brandon Wenz; Matthew Adamow; Deborah Kuk; Katherine S Panageas; Cristina Carrera; Phillip Wong; Felix Quagliarello; Bradley Wubbenhorst; Kurt D'Andrea; Kristen E Pauken; Ramin S Herati; Ryan P Staupe; Jason M Schenkel; Suzanne McGettigan; Shawn Kothari; Sangeeth M George; Robert H Vonderheide; Ravi K Amaravadi; Giorgos C Karakousis; Lynn M Schuchter; Xiaowei Xu; Katherine L Nathanson; Jedd D Wolchok; Tara C Gangadhar; E John Wherry
Journal:  Nature       Date:  2017-04-10       Impact factor: 49.962

Review 5.  Monoclonal antibody therapy of solid tumors: clinical limitations and novel strategies to enhance treatment efficacy.

Authors:  Esteban Cruz; Veysel Kayser
Journal:  Biologics       Date:  2019-05-01

Review 6.  Structure and Optimization of Checkpoint Inhibitors.

Authors:  Sarah L Picardo; Jeffrey Doi; Aaron R Hansen
Journal:  Cancers (Basel)       Date:  2019-12-21       Impact factor: 6.639

Review 7.  Rationale for combination of therapeutic antibodies targeting tumor cells and immune checkpoint receptors: Harnessing innate and adaptive immunity through IgG1 isotype immune effector stimulation.

Authors:  Robert L Ferris; Heinz-Josef Lenz; Anna Maria Trotta; Jesús García-Foncillas; Jeltje Schulten; François Audhuy; Marco Merlano; Gerard Milano
Journal:  Cancer Treat Rev       Date:  2017-12-02       Impact factor: 12.111

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