Genomics- and Transcriptomics-Based Patient Selection for Cancer Treatment With Immune Checkpoint Inhibitors: A Review.

Abstract:

Importance:Checkpoint blockade therapy targeting cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) and the programmed cell death protein 1 pathways (PD-1/PD-L1) have achieved success in treating a number of malignancies. However, only a subset of patients responds to these therapies, and optimization of patient selection for treatment is imperative to avoid adverse effects without clinical benefit and keep costs manageable. Observations:The past few years have witnessed checkpoint inhibition becoming a first-line treatment option with US Food and Drug Administration approvals for various tumor types. Genomic analyses (whole genome, exome, and transcriptome) have been instrumental in identifying a genetic profile associated with sensitivity to checkpoint inhibitors. Therapy outcome is determined at various levels: (1) the degree of tumor "foreignness," as reflected by mutational burden and expression of viral genes, (2) the composition and activity of a preexisting immune infiltrate, and (3) mechanisms of tumor escape from immune surveillance. In addition, there are opportunities for genomic analyses of genetic polymorphisms and the gut microbiome that may be associated with clinical response to therapy. Conclusions and Relevance:Genomics provides powerful tools for the identification of biomarkers for response to immune checkpoint blockade, given their potential to analyze multiple parameters simultaneously in an unbiased manner. This offers the opportunity for genomics- and transcriptomics-based selection of patients for rationally designed therapy with immune checkpoint inhibitors.

journal_name

JAMA Oncol

journal_title

JAMA oncology

authors

Dijkstra KK,Voabil P,Schumacher TN,Voest EE

doi

10.1001/jamaoncol.2016.2214

subject

Has Abstract

pub_date

2016-11-01 00:00:00

pages

1490-1495

issue

11

eissn

2374-2437

issn

2374-2445

pii

2542339

journal_volume

2

pub_type

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