Genomic profiling of intestinal-type sinonasal adenocarcinoma reveals subgroups of patients with distinct clinical outcomes.
Alejandro López-HernándezJhudit Pérez-EscuredoBlanca VivancoCristina García-InclánSira Potes-AresVirginia N CabalCristina RiobelloMaría CostalesFernando LópezJosé Luis LlorenteMario A HermsenPublished in: Head & neck (2017)
These data may guide studies to identify driver genes and signaling pathways involved in ITAC. In addition, the subclassification of genetic subgroups of patients with distinct clinical behavior can aid therapeutic decision making and may ultimately lead to personalized therapy with targeted inhibitors.
Keyphrases
- decision making
- genome wide
- copy number
- signaling pathway
- squamous cell carcinoma
- electronic health record
- big data
- single cell
- cancer therapy
- pi k akt
- locally advanced
- radiation therapy
- machine learning
- artificial intelligence
- mesenchymal stem cells
- transcription factor
- induced apoptosis
- stem cells
- cell therapy
- genome wide analysis
- smoking cessation