ArticleTranslational cancer research2023
Identification and validation of a glycolysis-related gene signature for predicting metastasis and survival rate in patients with thyroid cancer.
Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Machine learning integration of bulk and single-cell RNA-seq data reveals glycolytic heterogeneity in colorectal cancer.Medical oncology (Northwood, London, England) · 2025Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Thyroid cancer (THCA) is one of the most commonly malignant endocrine tumors worldwide. This study aimed to explore new gene signatures to better predict the metastasis and survival rate of patients with THCA. Methods: mRNA transcriptome date and clinical characteristics of THCA were obtained from the Cancer Genome Atlas (TCGA) database to identify the expression and prognostic implications of glycolysis-related genes. Gene Set Enrichment Analysis (GSEA) of differentiated expressed genes was performed, and relationship between genes and glycolysis was observed in the Cox proportional regression model. Using the cBioPortal, mutations were subsequently identified in model genes. Results: A 3-gene ( Conclusions: The study reported a three-gene signature of THCA, including
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