ArticleWorld journal of gastroenterology2019
Seven-senescence-associated gene signature predicts overall survival for Asian patients with hepatocellular carcinoma.
Article in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- The impact of the senescent microenvironment on tumorigenesis: Insights for cancer therapy.Aging cell · 2024Review
- The role of kinesin family members in hepatobiliary carcinomas: from bench to bedside.Biomarker research · 2024Review
- Development of a Combined Oxidative Stress and Endoplasmic Reticulum Stress-Related Prognostic Signature for Hepatocellular Carcinoma.Combinatorial chemistry & high throughput screening · 2024Article
- IGF2BP2 promotes glycolysis and hepatocellular carcinoma stemness by stabilizing CDC45 mRNA via m6A modification.Cell cycle (Georgetown, Tex.) · 2023Article
- Review
- Gene-based cancer-testis antigens as prognostic indicators in hepatocellular carcinoma.Heliyon · 2023Article
- An immune and epigenetics-related scoring model and drug candidate prediction for hepatic carcinogenesis via dynamic network biomarker analysis and connectivity mapping.Computational and structural biotechnology journal · 2023Article
- Comprehensive analysis of senescence-associated genes in sepsis based on bulk and single-cell sequencing data.Frontiers in molecular biosciences · 2023Article
- Systematic pan‑cancer analysis identifies CDC45 as having an oncogenic role in human cancers.Oncology reports · 2022Article
- Article
- Molecular classification of hepatocellular carcinoma: prognostic importance and clinical applications.Journal of cancer research and clinical oncology · 2022Review
- Transcriptomic profiling of peroxisome-related genes reveals a novel prognostic signature in hepatocellular carcinoma.Genes & diseases · 2022Article
- Expression of Cell Division Cycle Protein 45 in Tissue Microarrays and the CDC45 Gene by Bioinformatics Analysis in Human Hepatocellular Carcinoma and Patient Outcomes.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- Increased expression ofJournal of gastrointestinal oncology · 2021Article
- Identification of a Novel Four-Gene Signature Correlated With the Prognosis of Patients With Hepatocellular Carcinoma: A Comprehensive Analysis.Frontiers in oncology · 2021Article
- Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.Pathology oncology research : POR · 2021Article
- Key Candidate Prognostic Biomarkers Correlated with Immune Infiltration in Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2021Article
- Establishment of a Prognostic Model for Hepatocellular Carcinoma Based on Endoplasmic Reticulum Stress-Related Gene Analysis.Frontiers in oncology · 2021Article
- Senescence and Cancer: A Review of Clinical Implications of Senescence and Senotherapies.Cancers · 2020Review
- A robust twelve-gene signature for prognosis prediction of hepatocellular carcinoma.Cancer cell international · 2020Article
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12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCellular senescence is a recognized barrier for progression of chronic liver diseases to hepatocellular carcinoma (HCC). The expression of a cluster of genes is altered in response to environmental factors during senescence. However, it is questionable whether these genes could serve as biomarkers for HCC patients.
aimTo develop a signature of senescence-associated genes (SAGs) that predicts patients' overall survival (OS) to improve prognosis prediction of HCC.
methodsSAGs were identified using two senescent cell models. Univariate COX regression analysis was performed to screen the candidate genes significantly associated with OS of HCC in a discovery cohort (GSE14520) for the least absolute shrinkage and selection operator modelling. Prognostic value of this seven-gene signature was evaluated using two independent cohorts retrieved from the GEO (GSE14520) and the Cancer Genome Atlas datasets, respectively. Time-dependent receiver operating characteristic (ROC) curve analysis was conducted to compare the predictive accuracy of the seven-SAG signature and serum α-fetoprotein (AFP).
resultsA total of 42 SAGs were screened and seven of them, including
conclusionWe developed a seven-SAG signature, which could predict OS of Asian HCC patients. This risk model provides new clinical evidence for the accurate diagnosis and targeted treatment of HCC.
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