Next-generation sequencing for identification of actionable gene mutations in intestinal-type sinonasal adenocarcinoma.
Paula Sánchez-FernándezCristina RiobelloMaría CostalesBlanca VivancoVirginia N CabalRocío García-MarínLaura Suárez-FernándezFernando LópezRubén CabanillasMario A HermsenJosé Luis LlorentePublished in: Scientific reports (2021)
Intestinal-type sinonasal adenocarcinoma (ITAC) is a rare tumor carrying poor prognosis and needing new treatment options. The aim of this study was to identify actionable gene mutations that can guide new personalized target-specific therapies in ITAC patients. A series of 48 tumor and 27 corresponding germline DNA samples were analyzed by next generation sequencing using a panel of 120 genes. In total, 223 sequence variants were found in 70 genes. Matched tumor/germline comparison in 27 cases revealed that 57% were in fact germline variants. In 20 of these 27 cases, 58 somatic variants in 33 different genes were identified, the most frequent being PIK3CA (5 cases), APC and ATM (4 cases), and KRAS, NF1, LRP1B and BRCA1 (3 cases). Many of the somatic gene variants affected PI3K, MAPK/ERK, WNT and DNA repair signaling pathways, although not in a mutually exclusive manner. None of the alterations were related to histological ITAC subtype, tumor stage or survival. Our data showed that thorough interpretation of somatic mutations requires sequencing analysis of the corresponding germline DNA. Potentially actionable somatic mutations were found in 20 of 27 cases, 8 of which being biomarkers of FDA-approved targeted therapies. Our data implicate new possibilities for personalized treatment of ITAC patients.
Keyphrases
- copy number
- dna repair
- genome wide
- signaling pathway
- poor prognosis
- dna damage
- end stage renal disease
- ejection fraction
- newly diagnosed
- dna damage response
- prognostic factors
- cell proliferation
- squamous cell carcinoma
- long non coding rna
- stem cells
- peritoneal dialysis
- oxidative stress
- genome wide identification
- epithelial mesenchymal transition
- single molecule
- radiation therapy
- patient reported outcomes
- single cell
- machine learning
- patient reported
- inflammatory response
- transcription factor
- lps induced
- nuclear factor
- toll like receptor
- combination therapy