Novel non-invasive molecular signatures for oral cavity cancer, by whole transcriptome and small non-coding RNA sequencing analyses: Predicted association with PI3K/AKT/mTOR pathway.
Dimitra P VageliPanagiotis G DoukasJeffrey P TownsendCurtis PickeringBenjamin L JudsonPublished in: Cancer medicine (2024)
Our data support our hypothesis that using paired saliva and serum from the same individuals and deep sequencing analyses can provide unique combined mRNA and miRNA signatures associated with canonical pathways that may have a diagnostic advantage relative to saliva or serum alone and may be useful for clinical testing. We believe this data will contribute to effective preventive care by post-treatment monitoring of patients, as well as suggesting potential targets for therapeutic approaches.
Keyphrases
- single cell
- end stage renal disease
- electronic health record
- newly diagnosed
- healthcare
- ejection fraction
- rna seq
- chronic kidney disease
- big data
- palliative care
- peritoneal dialysis
- gene expression
- papillary thyroid
- prognostic factors
- quality improvement
- machine learning
- data analysis
- binding protein
- human health
- combination therapy
- deep learning