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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

Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:34565301
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2026-11-01T15:41:53Z
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title
Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma.
doi
10.1080/21655979.2021.1980177
pmid
34565301
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[0]
Hui-Ching Lau
[1]
Yujie Shen
[2]
Qiang Huang
[3]
Hui-Ying Huang
[4]
Liang Zhou
journal
Bioengineered
year
2021
abstract
Researches have suggested that aerobic glycolysis can reflect the development and progression of most carcinomas. 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). A visualized nomogram was then constructed to predict 1-, 3-, and 5-year overall survival. Taken together, two novel glycolytic gene signatures were discovered and validated, providing a potential therapeutic and overall survival (OS)-prediction biomarker for LSCC.
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Univariate and multivariate Cox regression analyses were performed to evaluate prognosis. The hazard ratio (HR) and 95% confidence interval (CI) were calculated to assess the survival-related GRGs.
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Univariate and multivariate Cox regression analyses were performed to evaluate prognosis. The hazard ratio (HR) and 95% confidence interval (CI) were calculated to assess the survival-related GRGs.
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RNA-sequence data and clinicopathologic information were downloaded from The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/) [14]. A total of 12 normal laryngeal tissues and 111 laryngeal carcinoma tissues were enrolled [15]. The clinical information of TCGA set are shown in Supplementary Table 1. Complete RNA sequences, their corresponding follow-up time, and overall survival (OS) were included. All data were obtained from open sources, thus approval from Ethics Committee was not necessary.
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RNA-sequence data and clinicopathologic information were downloaded from The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/) [14]. A total of 12 normal laryngeal tissues and 111 laryngeal carcinoma tissues were enrolled [15]. The clinical information of TCGA set are shown in Supplementary Table 1. Complete RNA sequences, their corresponding follow-up time, and overall survival (OS) were included. All data were obtained from open sources, thus approval from Ethics Committee was not necessary.
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RNA-sequence data and clinicopathologic information were downloaded from The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/) [14]. A total of 12 normal laryngeal tissues and 111 laryngeal carcinoma tissues were enrolled [15]. The clinical information of TCGA set are shown in Supplementary Table 1. Complete RNA sequences, their corresponding follow-up time, and overall survival (OS) were included. All data were obtained from open sources, thus approval from Ethics Committee was not necessary.
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Identification and validation of a multigene predictor of recurrence in primary laryngeal cancer.
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RNA-sequence data and clinicopathologic information were downloaded from The Cancer Genome Atlas (TCGA) data portal (https://portal.gdc.cancer.gov/) [14]. A total of 12 normal laryngeal tissues and 111 laryngeal carcinoma tissues were enrolled [15]. The clinical information of TCGA set are shown in Supplementary Table 1. Complete RNA sequences, their corresponding follow-up time, and overall survival (OS) were included. All data were obtained from open sources, thus approval from Ethics Committee was not necessary.
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review.machine_critique
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Univariate and multivariate Cox regression analyses were performed to evaluate prognosis. The hazard ratio (HR) and 95% confidence interval (CI) were calculated to assess the survival-related GRGs.
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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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