ArticleCancer cell international2019
Two predictive precision medicine tools for hepatocellular carcinoma.
Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning.Frontiers in genetics · 2025Article
- N4BP3 Activates TLR4-NF-κB Pathway in Inflammatory Bowel Disease by Promoting K48-Linked IκBα Ubiquitination.Journal of inflammation research · 2025Article
- Pan-cancer analysis of COL15A1: an immunological and prognostic biomarker.Discover oncology · 2024Article
- Signature construction and molecular subtype identification based on liver-specific genes for prediction of prognosis, immune activity, and anti-cancer drug sensitivity in hepatocellular carcinoma.Cancer cell international · 2024Article
- Construction of a Prognostic Model for Hepatocellular Carcinoma Based on Macrophage Polarization-Related Genes.Journal of hepatocellular carcinoma · 2024Article
- Epigenetic reactivation of tumor suppressor genes with CRISPRa technologies as precision therapy for hepatocellular carcinoma.Clinical epigenetics · 2023Article
- N4BP3 promotes angiogenesis in hepatocellular carcinoma by binding with KAT2B.Cancer science · 2022Article
- Methionine restriction enhances the chemotherapeutic sensitivity of colorectal cancer stem cells by miR-320d/c-Myc axis.Molecular and cellular biochemistry · 2022Article
- Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma.Journal of translational medicine · 2022Article
- Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system.BMC bioinformatics · 2022Article
- Overexpression of Pregnancy Zone Protein in Fat Antagonizes Diet-Induced Obesity Under an Intermittent Fasting Regime.Frontiers in physiology · 2022Article
- Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma.Computational and structural biotechnology journal · 2022Article
- Hepatokine Pregnancy Zone Protein Governs the Diet-Induced Thermogenesis Through Activating Brown Adipose Tissue.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Genetic ablation of pregnancy zone protein promotes breast cancer progression by activating TGF-β/SMAD signaling.Breast cancer research and treatment · 2021Article
- Identification of Aging-Related Genes Associated With Clinical and Prognostic Features of Hepatocellular Carcinoma.Frontiers in genetics · 2021Article
- Immune gene prognostic signature for disease free survival of gastric cancer: Translational research of an artificial intelligence survival predictive system.Computational and structural biotechnology journal · 2021Article
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8 authors.
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Abstract
backgroundHepatocellular carcinoma (HCC) is a serious threat to public health due to its poor prognosis. The current study aimed to develop and validate a prognostic nomogram to predict the overall survival of HCC patients.
methodsThe model cohort consisted of 24,991 mRNA expression data points from 348 HCC patients. The least absolute shrinkage and selection operator method (LASSO) Cox regression model was used to evaluate the prognostic mRNA biomarkers for the overall survival of HCC patients.
resultsUsing multivariate Cox proportional regression analyses, a prognostic nomogram (named Eight-mRNA prognostic nomogram) was constructed based on the expression data of N4BP3, -ADRA2B, E2F8, MAPT, PZP, HOXD9, COL15A1, and -NDST3. The C-index of the Eight-mRNA prognostic nomogram was 0.765 (95% CI 0.724-0.806) for the overall survival in the model cohort. The Harrell's concordance-index of the Eight-mRNA prognostic nomogram was 0.715 (95% CI 0.658-0.772) in the validation cohort. The survival curves demonstrated that the HCC patients in the high risk group had a significantly poorer overall survival than the patients in the low risk group.
conclusionIn the current study, we have developed two convenient and efficient predictive precision medicine tools for hepatocellular carcinoma. These two predictive precision medicine tools are helpful for predicting the individual mortality risk probability and improving the personalized comprehensive treatments for HCC patients. The Smart Cancer Predictive System can be used by clicking the following URL: https://zhangzhiqiao2.shinyapps.io/Smart_cancer_predictive_system_HCC_2/. The Gene Survival Analysis Screen System is available at the following URL: https://zhangzhiqiao5.shinyapps.io/Gene_Survival_Analysis_A1001/.
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