Computational analysis for identification of early diagnostic biomarkers and prognostic biomarkers of liver cancer based on GEO and TCGA databases and studies on pathways and biological functions affecting the survival time of liver cancer

• Published in: BMC cancer Vol. 21; no. 1; pp. 791 - 15
• Main Authors: Gao, Shiyong, Gang, Jian, Yu, Miao, Xin, Guosong, Tan, Huixin
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 08.07.2021; BioMed Central; BMC
• Subjects: Beta cells; Bioinformatics; Biological markers; Biomarker; Biomarkers; Biomarkers, Tumor - metabolism; Cancer; Cell activation; Cell cycle; Collagen; Computational biology; Computer applications; CXCL12 protein; Datasets; Diagnosis; Diagnostic biomarker; Estrogen receptors; Extracellular matrix; Fat metabolism; FosB protein; Gene expression; Gene set enrichment analysis; Heme; Hepatitis B; Hepatitis C; Humans; Liver cancer; Liver diseases; Liver Neoplasms - genetics; Liver Neoplasms - mortality; Liver Neoplasms - pathology; Medical prognosis; Metabolism; Methods; Mortality; Obesity; Oncology, Experimental; Pancreas; Pituitary tumor-transforming proteins; Prognosis; Prognostic biomarker; Proteins; Quality of life; Signal transduction; Software; Survival Analysis; China; Diagnostic biomarker; Liver cancer; Biomarker; Bioinformatics; Prognostic biomarker

Liver cancer is the sixth most commonly diagnosed cancer and the fourth most common cause of cancer death. The purpose of this work is to find new diagnostic biomarkers or prognostic biomarkers and explore the biological functions related to the prognosis of liver cancer. GSE25097 datasets were firs...