Current status and future potential of predictive biomarkers for immune checkpoint inhibitors in gastric cancer.
Byung Woog KangIan ChauPublished in: ESMO open (2021)
Immunotherapy is revolutionising cancer treatment and has already emerged as standard treatment for patients with recurrent or metastatic gastric cancer (GC). Recent research has been focused on identifying robust predictive biomarkers for GC treated with immune checkpoint inhibitors (ICIs). The expression of programmed cell death protein-ligand-1 (PD-L1) is considered a manifestation of immune response evasion, and several studies have already reported the potential of PD-L1 expression as a predictive parameter for various human malignancies. Meanwhile, based on comprehensive molecular characterisation of GC, testing for Epstein-Barr virus and microsatellite instability is a potential predictive biomarker. Culminating evidence suggests that novel biomarkers, such as the tumour mutational burden and gene expression signature, could indicate the success of treatment with ICIs. However, the exact roles of these biomarkers in GC treated with ICIs remain unclear. Therefore, this study reviews recent scientific data on current and emerging biomarkers for ICIs in GC, which have potential to improve treatment outcomes.
Keyphrases
- epstein barr virus
- gene expression
- immune response
- gas chromatography
- endothelial cells
- squamous cell carcinoma
- small cell lung cancer
- human health
- randomized controlled trial
- systematic review
- dendritic cells
- climate change
- poor prognosis
- newly diagnosed
- molecular dynamics
- electronic health record
- risk assessment
- machine learning
- deep learning
- inflammatory response
- single molecule
- data analysis
- replacement therapy
- protein protein
- density functional theory
- liquid chromatography