NME4 suppresses NFκB2-CCL5 axis, restricting CD8+ T cell tumour infiltration in oesophageal squamous cell carcinoma.
Shutao ZhengShuo HeYan LiangQing LiuTao LiuYiyi TanTianyuan PengConggai HuangHaidong GaoXiaomei LuPublished in: Immunology (2024)
Thought of as a metastasis-associated gene, however, NME/NM23 nucleoside diphosphate kinase 4 (NME4) has rarely been described in the context of the tumour microenvironment. To understand the immunological implications of NME4 in oesophageal squamous cell carcinoma (ESCC), we used multiplex immunohistochemistry to analyse the clinicopathological and prognostic importance of NME4 expression. Then, after establishing a syngeneic tumour model with a C57BL/6 mouse strain that can recapitulate the tumour microenvironment of humans, we examined the immunological involvement of NME4 expression. To explore the underlying molecular mechanism, via quantitative proteomics and protein microarray screening, we investigated the potential signalling pathways involved. The clinicopathological and prognostic importance of NME4 expression is limited in ESCC patients. In vivo, single-cell RNA sequencing showed that NME4 strikingly prevented CD8+ T cells from infiltrating the tumour microenvironment in murine ESCC. Mechanistically, we mapped out the NFκB2-CCL5 axis that was negatively controlled by NME4 in the murine ESCC cell line AKR. Collectively, these data demonstrated that regulation of NFκB2-CCL5 axis by NME4 prevents CD8+ T cells infiltration in ESCC.
Keyphrases
- squamous cell carcinoma
- signaling pathway
- single cell
- poor prognosis
- stem cells
- oxidative stress
- lps induced
- binding protein
- liver fibrosis
- pi k akt
- nuclear factor
- mass spectrometry
- liver injury
- machine learning
- gene expression
- rna seq
- prognostic factors
- lymph node metastasis
- electronic health record
- risk assessment
- cell proliferation
- toll like receptor
- big data
- inflammatory response
- radiation therapy
- dna methylation
- human health
- deep learning
- single molecule
- locally advanced
- high resolution
- artificial intelligence
- rectal cancer
- chronic kidney disease
- light emitting
- genome wide analysis