ArticleBioMed research international2022
Development and Validation of a Novel Circadian Rhythm-Related Signature to Predict the Prognosis of the Patients with Hepatocellular Carcinoma.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Identification of circadian rhythm-associated key genes in metabolic dysfunction-associated fatty liver disease.Clinical and experimental medicine · 2026Article
- Hepatocellular Carcinoma Around the Clock.Current oncology (Toronto, Ont.) · 2026Review
- Circadian Rhythm Genes-based Prognostic Signature for Bladder Cancer: Association of EZH2 Expression with Anesthetic-related Changes in Circulating Tumor Cells.Current medicinal chemistry · 2026Article
- Integrative analysis reveals NFIL3 as a prognostic marker in glioblastoma associated with anesthesia and circadian rhythm genes.Discover oncology · 2025Article
- EZH2 expression in hepatocellular carcinoma and its relationship with circadian rhythm-related genes.Scientific reports · 2025Article
- Exploring potential biomarkers for acute myocardial infarction by combining circadian rhythm gene expression and immune cell infiltration.Scientific reports · 2025Article
- An oxidative stress-related molecular signature in atherosclerosis: identification of risk genes, construction of a diagnostic model, and characterization of immunocyte landscape.Frontiers in cardiovascular medicine · 2025Article
- Single-cell and Bulk Transcriptomic Analyses Reveal a Stemness and Circadian Rhythm Disturbance-related Signature Predicting Clinical Outcome and Immunotherapy Response in Hepatocellular Carcinoma.Current gene therapy · 2025Article
- Chronobiology of Cancers in the Liver and Gut.Cancers · 2024Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the most important causes of cancer-related deaths and remains a major public health challenge worldwide. Considering the extensive heterogeneity of HCC, more accurate prognostic models are imperative. The circadian genes regulate the daily oscillations of key biological processes, such as nutrient metabolism in the liver. Circadian rhythm disruption has recently been recognized as an independent risk factor for cancer. In this study, The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were compared and 248 differentially expressed genes (DEGs) of the circadian rhythm were identified. HCC was classified into two subtypes based on these DEGs. The prognostic value of each circadian rhythm-associated gene (CRG) for survival was assessed by constructing a multigene signature from TCGA cohort. A 6-gene signature was created by applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, and all patients in TCGA cohort were divided into high- and low-risk groups according to their risk scores. The survival rate of patients with HCC in the low-risk group was significantly higher than that in the high-risk group (
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