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Series GSE201777 Query DataSets for GSE201777
Status Public on Oct 07, 2022
Title Differentially expressed genes related to lymph node metastasis in advanced laryngeal squamous cell cancers
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Understanding the molecular mechanisms and gene expression in laryngeal squamous cell carcinoma (LSCC) may explain its aggressive biological behavior and regional metastasis pathways. Better understanding of the molecular mechanisms underlying LSCC metastasis and the search for possible molecular targets seems promising. Interpreting the links between the differentially expressed genes in advanced stages can lead to a search for predictive markers that can also help determine the possible treatment routes. We designed this study to detect possible genetic alterations in a homogeneous group of patients with locoregionally advanced laryngeal cancer who underwent total laryngectomy and neck dissection. Patients with and without lymph node metastasis were selected to examine the differential gene expression in the normal mucosa, tumor, and lymph node tissues of each patient. Our main purpose was to identify the possible commonly expressed genes in this homogenous group of Turkish patients with locoregionally advanced laryngeal cancer. Second, we aimed to determine the predictive role of these genes in lymph node metastasis and overall prognosis.
 
Overall design A total of 16 patients who had undergone total laryngectomy with neck dissection for advanced LSCC were randomly selected from our database: eight patients had lymph node metastasis (Group 1) and the other eight patients had no metastasis (Group 2). For each patient, paraffin-embedded tissue samples were collected from non-tumoral mucosa, tumoral lesions, and lymph node tissues. These tissue samples were used to extract RNA after cDNA synthesis, and microarray analysis was subsequently performed on each sample. Genetic alterations were determined in each specimen, and Groups 1 and 2 were compared and statistically analyzed.
 
Contributor(s) Bayır Ö, Aşık MD
Citation(s) 36245825
Submission date Apr 28, 2022
Last update date Oct 28, 2022
Contact name Ömer Bayır
E-mail(s) bayiromer@hotmail.com
Phone 05424161979
Organization name University of Health Sciences
Street address Gölbaşı
City ANKARA
ZIP/Postal code 06830
Country Turkey
 
Platforms (1)
GPL15207 [PrimeView] Affymetrix Human Gene Expression Array
Samples (47)
GSM6071161 27586-12_9x7
GSM6071162 27586-12_1TL4
GSM6071163 27586-12_1L-CK
Relations
BioProject PRJNA833026

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
GSE201777_RAW.tar 94.7 Mb (http)(custom) TAR (of CEL, CHP)
Processed data included within Sample table
Processed data provided as supplementary file

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