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Selecting immuno-oncology-based drug combinations - what should we be considering?

Authors :
Festino, Lucia
Vanella, Vito
Trojaniello, Claudia
Ascierto, Paolo A.
Source :
Expert Review of Clinical Pharmacology; Oct2018, Vol. 11 Issue 10, p971-985, 15p
Publication Year :
2018

Abstract

Introduction: Checkpoint inhibitor immunotherapy has revolutionized the treatment of many advanced stage cancers. Preexisting immunity is necessary for a response to these agents, which are most effective in inflamed tumors since they principally act by reinforcing preexisting antitumor T-cell responses. An important goal of therapy is to convert the tumor environment from non-inflamed to inflamed in order to facilitate subsequent response to checkpoint inhibitors. Clinical trials are underway to identify checkpoint inhibitor-based combination approaches, which may help to achieve this goal. Areas covered: Anti-PD-1 agents are being assessed in combination with different treatments (e.g. TLR9 agonists, oncolytic peptides, oncolytic vaccines, LAG-3, HDAC inhibitors, GITR, recombinant human interleukin-2) with promising results. PD-1 agents are also being assessed in combination with other locoregional or systemic treatment modalities, including ECT, radiotherapy, chemotherapy, and targeted therapy, with promising results being achieved. Expert commentary: Emerging approaches based on combinations with anti-PD-1 agents seem to offer increased efficacy compared to anti-PD-1 monotherapy. Such combinations also appear to be well tolerated, with safety profiles often comparable to those seen with anti-PD-1 monotherapy. These combination approaches are likely to become an increasing focus of research. There is also the potential for triplet anti-PD-1 combinations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17512433
Volume :
11
Issue :
10
Database :
Complementary Index
Journal :
Expert Review of Clinical Pharmacology
Publication Type :
Academic Journal
Accession number :
132432766
Full Text :
https://doi.org/10.1080/17512433.2018.1518713