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Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to gu ... 1 1 Introduction 1 2 Methods 3 2.1 Data acquisition 3 2.2 Differentially expressed gene (DEG) analysis 3 2.3 Weighted gene Co-expression network analysis (WGCNA) 3 2.4 Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis 3 2.5 Protein–protein interaction (PPI) network construction and modules analysis 3 2.6 Construction and validation of a PRP score 3 2.7 Single nucleotide variation and copy number variation (CNV) analysis 3 2.8 Gene set enrichment analysis (GSEA) and single sample gene set enrichment analysis (ssGSEA) 4 2.9 Construction of the diagnostic models 4 2.10 Construction and evaluation of the nomogram 4 2.11 Statistics 5 3 Results 5 3.1 Identification of progression-related biomarkers in HCC 5 3.2 Screening the progression-related biomarkers with prognostic value 5 3.3 Comprehensive analysis for patients with a distinct PRP score 5 3.4 Construction of diagnostic models based on progression-related biomarkers 8 3.5 Development of a nomogram to predict prognosis in HCC 8 3.6 The expression patterns of KIF20A, T

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nonfiction