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Journal of Hepatocellular Carcinoma Volume 10, 2023 - Issue
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REVIEW

Establishment and Clinical Application of the Nomogram Related to Risk or Prognosis of Hepatocellular Carcinoma: A Review

Xiangze Wang1 Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of ChinaView further author information
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Minghui Zhao1 Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of ChinaView further author information
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Chensheng Zhang1 Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of ChinaView further author information
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Haobo Chen1 Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of ChinaView further author information
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Xingyu Liu2 School of Computer and Information Engineering, Henan University, Kaifeng, 475004, People’s Republic of ChinaView further author information
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Yang An1 Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of ChinaView further author information
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Lu Zhang1 Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of ChinaCorrespondence[email protected] [email protected]
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Xiangqian Guo1 Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of ChinaView further author information
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Pages 1389-1398 | Received 13 Apr 2023, Accepted 17 Aug 2023, Published online: 22 Aug 2023

Figures & data

Figure 1 Literature screening process.

Figure 1 Literature screening process.

Figure 2 Main characteristics of the HCC nomogram in the study. (A) Publication year of literature; (B) Data source for constructing nomogram; (C) Disease outcomes included in the nomogram; (D) Main risk factors included in the nomogram.

Figure 2 Main characteristics of the HCC nomogram in the study. (A) Publication year of literature; (B) Data source for constructing nomogram; (C) Disease outcomes included in the nomogram; (D) Main risk factors included in the nomogram.

Figure 3 Standard process of nomogram establishment. The dotted box indicates that this method is optional.

Figure 3 Standard process of nomogram establishment. The dotted box indicates that this method is optional.

Figure 4 Forest plot of the biomarkers included in the nomogram. (A) Forest plot of the gene biomarker; (B) Forest plot of the gene biomarker with two outcomes; (C) Forest plot of the gene signature; (D) Forest plot of the lncRNA biomarker; (E) Forest plot of the SNP biomarker.

Figure 4 Forest plot of the biomarkers included in the nomogram. (A) Forest plot of the gene biomarker; (B) Forest plot of the gene biomarker with two outcomes; (C) Forest plot of the gene signature; (D) Forest plot of the lncRNA biomarker; (E) Forest plot of the SNP biomarker.

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