NCBP2 and TFRC are novel prognostic biomarkers in oral squamous cell carcinoma.
Rahul Krishan AroraLogan HaynesMehul KumarReid McNeilJahanshah AshkaniSteven C NakoneshnyT Wayne MatthewsShamir ChandaranaRobert D HartSteven J M JonesJoseph C DortDoha ItaniAyan ChandaPinaki BosePublished in: Cancer gene therapy (2023)
There are few prognostic biomarkers and targeted therapeutics currently in use for the clinical management of oral squamous cell carcinoma (OSCC) and patient outcomes remain poor in this disease. A majority of mutations in OSCC are loss-of-function events in tumour suppressor genes that are refractory to conventional modes of targeting. Interestingly, the chromosomal segment 3q22-3q29 is amplified in many epithelial cancers, including OSCC. We hypothesized that some of the 468 genes located on 3q22-3q29 might be drivers of oral carcinogenesis and could be exploited as potential prognostic biomarkers and therapeutic targets. Our integrative analysis of copy number variation (CNV), gene expression and clinical data from The Cancer Genome Atlas (TCGA), identified two candidate genes: NCBP2, TFRC, whose expression positively correlates with worse overall survival (OS) in HPV-negative OSCC patients. Expression of NCBP2 and TFRC is significantly higher in tumour cells compared to most normal human tissues. High NCBP2 and TFRC protein abundance is associated with worse overall, disease-specific survival, and progression-free interval in an in-house cohort of HPV-negative OSCC patients. Finally, due to a lack of evidence for the role of NCBP2 in carcinogenesis, we tested if modulating NCBP2 levels in human OSCC cell lines affected their carcinogenic behaviour. We found that NCBP2 depletion reduced OSCC cell proliferation, migration, and invasion. Differential expression analysis revealed the upregulation of several tumour-promoting genes in patients with high NCBP2 expression. We thus propose both NCBP2 and TFRC as novel prognostic and potentially therapeutic biomarkers for HPV-negative OSCC.
Keyphrases
- poor prognosis
- copy number
- gene expression
- genome wide
- end stage renal disease
- cell proliferation
- endothelial cells
- chronic kidney disease
- ejection fraction
- newly diagnosed
- high grade
- binding protein
- dna methylation
- mitochondrial dna
- genome wide identification
- prognostic factors
- cancer therapy
- patient reported outcomes
- long non coding rna
- squamous cell carcinoma
- induced pluripotent stem cells
- small molecule
- single cell
- drug delivery
- electronic health record
- risk assessment
- machine learning
- human health
- young adults
- deep learning
- free survival
- papillary thyroid
- transcription factor
- cell cycle arrest
- genome wide analysis
- amino acid