Harnessing neutrophil plasticity for HCC immunotherapy.
Erik Ramon-GilDaniel GehJack LesliePublished in: Essays in biochemistry (2023)
Neutrophils, until recently, have typically been considered a homogeneous population of terminally differentiated cells with highly conserved functions in homeostasis and disease. In hepatocellular carcinoma (HCC), tumour-associated neutrophils (TANs) are predominantly thought to play a pro-tumour role, promoting all aspects of HCC development and progression. Recent developments in single-cell technologies are now providing a greater insight and appreciation for the level of cellular heterogeneity displayed by TANs in the HCC tumour microenvironment, which we have been able to correlate with other TAN signatures in datasets for gastric cancer, pancreatic ductal adenocarcinoma (PDAC) and non-small cell lung cancer (NSCLC). TANs with classical pro-tumour signatures have been identified as well as neutrophils primed for anti-tumour functions that, if activated and expanded, could become a potential therapeutic approach. In recent years, therapeutic targeting of neutrophils in HCC has been typically focused on impairing the recruitment of pro-tumour neutrophils. This has now been coupled with immune checkpoint blockade with the aim to stimulate lymphocyte-mediated anti-tumour immunity whilst impairing neutrophil-mediated immunosuppression. As a result, neutrophil-directed therapies are now entering clinical trials for HCC. Pharmacological targeting along with ex vivo reprogramming of neutrophils in HCC patients is, however, in its infancy and a greater understanding of neutrophil heterogeneity, with a view to exploit it, may pave the way for improved immunotherapy outcomes. This review will cover the recent developments in our understanding of neutrophil heterogeneity in HCC and how neutrophils can be harnessed to improve HCC immunotherapy.
Keyphrases
- single cell
- clinical trial
- end stage renal disease
- rna seq
- stem cells
- small cell lung cancer
- chronic kidney disease
- randomized controlled trial
- type diabetes
- cancer therapy
- anti inflammatory
- genome wide
- oxidative stress
- metabolic syndrome
- drug delivery
- transcription factor
- peritoneal dialysis
- high throughput
- gene expression
- prognostic factors
- machine learning
- big data
- open label
- peripheral blood
- deep learning
- phase iii
- glycemic control