IRIS Institutional Research Information System - AIR Archivio Istituzionale della Ricerca
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Milano.
AIR nasce in UNIMI nel 2006 con lo scopo di raccogliere, documentare e conservare le informazioni sulla produzione scientifica dell'Università degli Studi di Milano e costituisce di fatto l'Anagrafe della ricerca dell'Ateneo.
EnglishEpithelial sinonasal cancers (SNCs) are rare diseases with overlapping morphological features and a dismal prognosis. We aimed to investigate the expression differences among the histological subtypes for discerning their molecular characteristics. We selected 47 SNCs: (i) 21 nonkeratinizing squamous cell carcinomas (NKSCCs), (ii) 13 sinonasal neuroendocrine cancers (SNECs), and (iii) 13 sinonasal undifferentiated cancers (SNUCs). Gene expression profiling was performed by DASL (cDNA-mediated annealing, selection, extension, and ligation) microarray analysis with internal validation by quantitative RT-PCR (RT-qPCR). Relevant molecular patterns were uncovered by sparse partial-least squares discriminant analysis (sPLS-DA), microenvironment cell type (xCell), CIBERSORT, and gene set enrichment (GSEA) analyses. The first two sPLS-DA components stratified samples by histological subtypes. xCell highlighted increased expression of immune components (CD8 + effector memory cells, in SNUC) and “other cells”: keratinocytes and neurons in NKSCC and SNEC, respectively. Pathway enrichment was observed in NKSCC (six gene sets, proliferation related), SNEC (one gene set, pancreatic β-cells), and SNUC (twenty gene sets, some of them immune-system related). Major neuroendocrine involvement was observed in all the SNEC samples. Our high-throughput analysis revealed a good diagnostic ability to differentiate NKSCC, SNEC, and SNUC, but indicated that the neuroendocrine pathway, typical and pathognomonic of SNEC is also present at lower expression levels in the other two histological subtypes. The different and specific profiles may be exploited for elucidating their biology and could help to identify prognostic and therapeutic opportunities.
A functional gene expression analysis in epithelial sinonasal cancer : Biology and clinical relevance behind three histological subtypes / L. De Cecco, M.S. Serafini, C. Facco, R. Granata, E. Orlandi, C. Fallai, L. Licitra, E. Marchesi, F. Perrone, S. Pilotti, P. Quattrone, C. Piazza, F. Sessa, M. Turri-Zanoni, P. Battaglia, P. Castelnuovo, P. Antognoni, S. Canevari, P. Bossi. - In: ORAL ONCOLOGY. - ISSN 1368-8375. - 90(2019 Mar), pp. 94-101.
| Titolo: | A functional gene expression analysis in epithelial sinonasal cancer : Biology and clinical relevance behind three histological subtypes |
| Autori: | BOSSI, PAOLO (Corresponding) |
| Parole Chiave: | Cancer biology; Gene expression; Neuroendocrine signature; Sinonasal epithelial cancer; Tumor microenvironment; Oral Surgery; Oncology; Cancer Research |
| Settore Scientifico Disciplinare: | Settore MED/31 - Otorinolaringoiatria Settore MED/06 - Oncologia Medica Settore BIO/11 - Biologia Molecolare Settore MED/36 - Diagnostica per Immagini e Radioterapia |
| Data di pubblicazione: | mar-2019 |
| Rivista: | |
| Tipologia: | Article (author) |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.oraloncology.2019.02.003 |
| Appare nelle tipologie: | 01 - Articolo su periodico |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| A functional gene expression .pdf | Publisher's version/PDF | Open Access Visualizza/Apri |
Copyright © 2021