The Multiple Potential Biomarkers for Predicting Immunotherapy Response-Finding the Needle in the Haystack
- PMID: 33451015
- PMCID: PMC7828488
- DOI: 10.3390/cancers13020277
The Multiple Potential Biomarkers for Predicting Immunotherapy Response-Finding the Needle in the Haystack
Abstract
Immune checkpoint inhibitors (ICIs) are being increasingly utilised in a variety of advanced malignancies. Despite promising outcomes in certain patients, the majority will not derive benefit and are at risk of potentially serious immune-related adverse events (irAEs). The development of predictive biomarkers is therefore critical to personalise treatments and improve outcomes. A number of biomarkers have shown promising results, including from tumour (programmed cell death ligand 1 (PD-L1), tumour mutational burden (TMB), stimulator of interferon genes (STING) and apoptosis-associated speck-like protein containing a CARD (ASC)), from blood (peripheral blood mononuclear cells (PBMCs), circulating tumour DNA (ctDNA), exosomes, cytokines and metal chelators) and finally the microbiome.
Keywords: NSCLC; biomarker; immunotherapy; melanoma; predictive; renal cancer; urothelial cancer.
Conflict of interest statement
The authors declare no conflict of interest.
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