ArticleFrontiers in oncology2020
Development of a Novel Autophagy-Related Prognostic Signature and Nomogram for Hepatocellular Carcinoma.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 45 citations in OpenAlex.
- Systematic analysis of the expression profiles and prognostic values of the FAM72 family in liver cancer.Biochemistry and biophysics reports · 2025Article
- Construction and validation of a cell-in-cell related prognostic signature for hepatocellular carcinoma.Discover oncology · 2025Article
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- Enhancing immune response and survival in hepatocellular carcinoma with novel oncolytic Jurona virus and immune checkpoint blockade.Molecular therapy. Oncology · 2024Article
- Autophagy-based therapy for hepatocellular carcinoma: from standard treatments to combination therapy, oncolytic virotherapy, and targeted nanomedicines.Clinical and experimental medicine · 2024Review
- The mTranslational cancer research · 2024Article
- RBBP4: A novel diagnostic and prognostic biomarker for non-small-cell lung cancer correlated with autophagic cell death.Cancer medicine · 2024Article
- Establishment and Validation of a Four-stress Granule-related Gene Signature in Hepatocellular Carcinoma.Journal of clinical and translational hepatology · 2024Article
- Diagnostic model based on key autophagy-related genes in intervertebral disc degeneration.BMC musculoskeletal disorders · 2023Article
- Bioinformatics prediction and experimental verification identify cuproptosis-related lncRNA as prognosis biomarkers of hepatocellular carcinoma.Biochemistry and biophysics reports · 2023Article
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- ATG10 overexpression is related to the dismal prognosis and promotes the growth and migration of hepatocellular carcinoma cells via cyclin B1/CDK1 and CDK2.American journal of cancer research · 2023Article
- Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer.Genome medicine · 2022Article
- Development and validation of novel nomograms to predict survival of patients with tongue squamous cell carcinoma.World journal of clinical cases · 2022Article
- The Oncopig as an Emerging Model to Investigate Copper Regulation in Cancer.International journal of molecular sciences · 2022Review
- Genomic Analysis of Waterpipe Smoke-Induced Lung Tumor Autophagy and Plasticity.International journal of molecular sciences · 2022Article
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- Development and Verification of a Combined Immune- and Metabolism-Related Prognostic Signature for Hepatocellular Carcinoma.Frontiers in immunology · 2022Article
- Development and Validation of a Prediction Model for Predicting the Prognosis of Postoperative Patients with Hepatocellular Carcinoma.International journal of general medicine · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is the seventh most common malignancy and the second most common cause of cancer-related deaths. Autophagy plays a crucial role in the development and progression of HCC.
methodsUnivariate and Lasso Cox regression analyses were performed to determine a gene model that was optimal for overall survival (OS) prediction. Patients in the GSE14520 and GSE54236 datasets of the Cancer Genome Atlas (TCGA) were divided into the high-risk and low-risk groups according to established ATG models. Univariate and multivariate Cox regression analyses were used to identify risk factors for OS for the purpose of constructing nomograms. Calibration and receiver operating characteristic (ROC) curves were used to evaluate model performance. Real-time PCR was used to validate the effects of the presence or absence of an autophagy inhibitor on gene expression in HepG2 and Huh7 cell lines.
resultsOS in the high-risk group was significantly shorter than that in the low-risk group. Gene set enrichment analysis (GSEA) indicated that the association between the low-risk group and autophagy- as well as immune-related pathways was significant. ULK2, PPP3CC, and NAFTC1 may play vital roles in preventing HCC progression. Furthermore, tumor environment analysis
conclusionsThe current study determined the role played by autophagy-related genes (ATGs) in the progression of HCC and constructed a novel nomogram that predicts OS in HCC patients, through a combined analysis of TCGA and gene expression omnibus (GEO) databases.
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