ArticleCurrent genomics2025
CDT1 is a Potential Therapeutic Target for the Progression of NAFLD to HCC and the Exacerbation of Cancer.
Article in Current genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Circular RNAs in hepatocellular carcinoma: a systematic qualitative review of regulatory mechanisms, therapeutic resistance, and clinical translation.BMC gastroenterology · 2026Pooled it
- The METTL3/TRIM37 axis contributes to the progression of non-alcoholic fatty liver disease by promoting CAV1 degradation.Molecular and cellular biochemistry · 2026Article
- MCD biomarkers Egfr, Hmox1, Lgmn identified in NAFLD.BMC endocrine disorders · 2026Article
- Identification and functional validation of SPON2 as a novel biomarker for the diagnosis and prognosis in hepatocellular carcinoma.Journal of gastrointestinal oncology · 2026Article
- Bioinformatics and experimental validation of druggable targets in non-alcoholic fatty liver disease.Scientific reports · 2026Article
- Elevated NDUFAF2 expression correlates with poor prognosis and drives metabolic dependency in hepatocellular carcinoma.Biology direct · 2026Article
- Dysregulated competitive splicing between circular and linear RNAs characterizes hepatocellular carcinoma tumorigenesis and recurrence.Biology direct · 2026Article
- Association of the RDW-to-albumin ratio with MAFLD and hepatic fibrosis in the U.S. population: a national cross-sectional study.Clinical and experimental medicine · 2026Article
- A nomogram with online dynamic calculator for predicting osteoporosis: development and validation based on NHANES.BMC musculoskeletal disorders · 2026Article
- Predicting prognosis and drug sensitivity in patients with hepatocellular carcinoma using an lncRNA signature associated with cuproptosis.BMC cancer · 2026Article
- Inhibition of circZFX suppresses malignant phenotypes in cholangiocarcinoma via the miR-654-3p/HDGF and YAP1 signaling activation.Biology direct · 2026Article
- Article
- Deregulated miR-487b-3p in Patients with Non-Alcoholic Fatty Liver Disease and Its Regulatory Effect on Insulin Resistance.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026Article
- Development of a liver stiffness measurement-based nomogram model to identify early CKD risk in patients with MAFLD.BMC gastroenterology · 2026Article
- METTL5 promotes tumor progression and ferroptosis resistance via MGST1 in HCC.Molecular and cellular biochemistry · 2026Article
- Unveiling membrane transporter proteins-related genes for predicting the prognosis of hepatocellular carcinoma patients.Discover oncology · 2026Article
- TET1 suppresses hepatocellular carcinoma progression by modulating the PI3K/Akt signaling pathways.Scientific reports · 2026Article
- Translational evaluation of BUB1B as a precision medicine biomarker for hepatocellular carcinoma.Scientific reports · 2026Article
- Predicting the efficacy of recombinant human thrombopoietin in treating cancer therapy-related thrombocytopenia: based on stacking ensemble methods.Frontiers in oncology · 2026Article
- An 11-gene blood transcriptomic signature reflects a sepsis-associated host-response pattern across public cohorts.Frontiers in medicine · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: This study aimed to identify potential therapeutic targets in the progression from non-alcoholic fatty liver disease (NAFLD) to hepatocellular carcinoma (HCC), with a focus on genes that could influence disease development and progression. Background: Hepatocellular carcinoma, significantly driven by non-alcoholic fatty liver disease, represents a major global health challenge due to late-stage diagnosis and limited treatment options. This study utilized bioinformatics to analyze data from GEO and TCGA, aiming to uncover molecular biomarkers that bridge NAFLD to HCC. Through identifying critical genes and pathways, our research seeks to advance early detection and develop targeted therapies, potentially improving prognosis and personalizing treatment for NAFLD-HCC patients. Objectives: Identify key genes that differ between NAFLD and HCC; Analyze these genes to understand their roles in disease progression; Validate the functions of these genes in NAFLD to HCC transition. Methods: Initially, we identified a set of genes differentially expressed in both NAFLD and HCC using second-generation sequencing data from the GEO and TCGA databases. We then employed a Cox proportional hazards model and a Lasso regression model, applying machine learning techniques to the large sample data from TCGA. This approach was used to screen for key disease-related genes, and an external dataset was utilized for model validation. Additionally, pseudo-temporal sequencing analysis of single-cell sequencing data was performed to further examine the variations in these genes in NAFLD and HCC. Results: The machine learning analysis identified IGSF3, CENPW, CDT1, and CDC6 as key genes. Furthermore, constructing a machine learning model for CDT1 revealed it to be the most critical gene, with model validation yielding an ROC value greater than 0.80. The single-cell sequencing data analysis confirmed significant variations in the four predicted key genes between the NAFLD and HCC groups. Conclusion: Our study underscores the pivotal role of CDT1 in the progression from NAFLD to HCC. This finding opens new avenues for early diagnosis and targeted therapy of HCC, highlighting CDT1 as a potential therapeutic target.
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