ArticleFrontiers in genetics2022
A metabolism-related gene signature for predicting the prognosis in thyroid carcinoma.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- An interpretable machine learning-based approach: development, validation, and clinical utility for distant metastasis prediction in PTC.Frontiers in endocrinology · 2026Article
- Hypoxia-Induced Suppression of FAM99A and FAM99B Contributes to the Development and Glucose Metabolic Reprogramming of Hepatocellular Carcinoma.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Molecular subtyping and functional characterization of gastric cancer using arginine metabolism-related genes.Frontiers in cell and developmental biology · 2025Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic reprogramming is one of the cancer hallmarks, important for the survival of malignant cells. We investigated the prognostic value of genes associated with metabolism in thyroid carcinoma (THCA). A prognostic risk model of metabolism-related genes (MRGs) was built and tested based on datasets in The Cancer Genome Atlas (TCGA), with univariate Cox regression analysis, LASSO, and multivariate Cox regression analysis. We used Kaplan-Meier (KM) curves, time-dependent receiver operating characteristic curves (ROC), a nomogram, concordance index (C-index) and restricted mean survival (RMS) to assess the performance of the risk model, indicating the splendid predictive performance. We established a three-gene risk model related to metabolism, consisting of
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Registered trials
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