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Series GSE118386 Query DataSets for GSE118386
Status Public on Dec 26, 2019
Title Dissecting heterogeneity in epithelial sinonasal cancer
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Epithelial, non-glandular sinonasal cancers (SNCs) is a rare disease, with a global dismal prognosis. There are no recognized targeted treatments and the knowledge of molecular mechanisms involved in the resistance to available therapies is limited. Dissecting the heterogeneity of paranasal sinus cancersSNCs and providing valuable information on the biology of the malignancy is eagerly needed to improve therapeutic approaches.
 
Overall design We selected a retrospective cohort of 47 SNCs including: i) non keratinizing squamous cell cancer (NKSCC, n=21); ii) sinonasal neuroendocrine cancer (SNEC, n=13); iii) sinonasal undifferentiated cancer (SNUC, n=13). Main tumor subsite was the ethmoid sinus (62%), followed by nasal cavity (26%), maxillary sinus and other subsites (6% each). Locally advanced stages were the most represented (stage III and IV 91%), mainly due to advanced T stage (T4a 19%; T4b 53%). Treatment modality was multimodal, comprising surgery followed by adjuvant radiation (with or without concomitant chemotherapy) in 70% of the cases and curative chemoradiation, with or without induction chemotherapy, in 30% of the patients.
 
Contributor(s) De Cecco L
Citation(s) 30846184
Submission date Aug 10, 2018
Last update date Dec 26, 2019
Contact name Loris De Cecco
E-mail(s) loris.dececco@istitutotumori.mi.it
Organization name IRCSS Istituto Nazionale Tumori
Street address via Venezian 1
City Milan
ZIP/Postal code 20133
Country Italy
 
Platforms (1)
GPL14951 Illumina HumanHT-12 WG-DASL V4.0 R2 expression beadchip
Samples (47)
GSM3326103 SNC01
GSM3326104 SNC02
GSM3326105 SNC03
Relations
BioProject PRJNA485417

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE118386_non-normalized.txt.gz 7.4 Mb (ftp)(http) TXT
Processed data included within Sample table

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