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pmid:34565301
Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma.
Hui-Ching Lau · Yujie Shen · Qiang Huang · Hui-Ying Huang · Liang Zhou
Bioengineered · 2021 doi:10.1080/21655979.2021.1980177
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Complete file
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We aimed to investigate whether glycolysis-related genes (GRGs) are associated with overall survival in laryngeal squamous cell carcinoma (LSCC). Here, we identified differentially expressed GRGs in TCGA dataset and microarray sample of GSE27020 from GEO database. A set of two glycolytic gene signatures, including DDIT4 and PLOD2 was screened through Cox and Lasso regression. The risk score was calculated using the gene expression of the two GRGs. The high-risk group presented a poor prognosis through Kaplan-Meier method. The ROC curve indicated good prediction performance in survival based on the validation of four cohorts. Univariate and multivariate Cox regression analyses suggested that two-gene signature could be an independent risk factor in LSCC. A total of 17 LSCC patients were enrolled to clarify the genetic expression through using reverse transcription-polymerase chain reaction (RT-PCR). 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