Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy

Hepatocellular carcinoma (HCC) is a type of cancer characterized by high heterogeneity and a complex multistep progression process. Significantly-altered biomarkers for HCC need to be identified. Differentially expressed genes and weighted gene co-expression network analyses were used to identify pr...

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Veröffentlicht in:	Computers in biology and medicine 2022-09, Vol.148, p.105896-105896, Article 105896
Hauptverfasser:	Hu, Yueyang, Tang, Chuanyu, Zhu, Wen, Ye, Hanjie, Lin, Yuxing, Wang, Ruixuan, Zhou, Tianjun, Wen, Sai, Yang, Jian, Fang, Chihua
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biomarkers Cancer Cell viability Chromosomal instability Datasets Diagnosis Diagnostic model Gene expression Gene set enrichment analysis Genes Genomic instability Hepatocellular carcinoma Heterogeneity Immune status Immunosuppression In vivo methods and tests Liver cancer Medical diagnosis Medical prognosis Metastases Mutation Nodules Nomograms Patients Performance prediction Phenotypes Prognosis Prognostic model Regression analysis Software Stability Tissues Tumor immune microenvironment Tumor progression Tumors
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