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Series GSE208117 Query DataSets for GSE208117
Status Public on Jul 19, 2022
Title A novel prognostic risk model for cervical cancer based on immune checkpoint HLA-G-driven differentially expressed genes [HeLa]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The aim of this study was to construct and validate a prognostic risk model to predict the overall survival (OS) of patients with cervical cancer, providing a reference for individualized clinical treatment that may lead to better clinical outcomes.
HLA-G-driven DEG signature consisting of the eight most important prognostic genes CD46, LGALS9, PGM1, SPRY4, CACNB3, PLIN2, MSMO1, and DAGLB was identified as a key predictor of cervical cancer.
To summarize, we developed and validated a novel prognostic risk model for cervical cancer based on HLA-G-driven DEGs, and the prognostic signature showed great ability in predicting the overall survival of patients with cervical cancer.
 
Overall design HLA-G-driven differentially expressed genes (DEGs) were obtained from two cervical carcinoma cell lines, namely, SiHa and HeLa, with stable overexpression of HLA-G by RNA sequencing (RNA-seq).
 
Contributor(s) Xu H
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Submission date Jul 13, 2022
Last update date Jul 19, 2022
Contact name Hui-Hui Xu
E-mail(s) [email protected]
Phone +86-13757609637
Organization name Taizhou Hospital
Street address 150
City Linhai
State/province Zhejiang province
ZIP/Postal code 317000
Country China
 
Platforms (1)
GPL23227 BGISEQ-500 (Homo sapiens)
Samples (6)
GSM6337713 HeLa, pv, 1
GSM6337714 HeLa, pv, 2
GSM6337715 HeLa, pv, 3
This SubSeries is part of SuperSeries:
GSE208119 A novel prognostic risk model for cervical cancer based on immune checkpoint HLA-G-driven differentially expressed genes
Relations
BioProject PRJNA858423

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Supplementary file Size Download File type/resource
GSE208117_Processed_data_files_HeLa-HLA-G_VS._HeLa_FPKM.csv.gz 335.0 Kb (ftp)(http) CSV
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Processed data are available on Series record

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