Identification of Early Warning Signals at the Critical Transition Point of Colorectal Cancer Based on Dynamic Network Analysis.

摘要: Colorectal cancer (CRC) is one of the leading causes cancer-related death worldwide. Due to lack early diagnosis methods and warning signals CRC its strong heterogeneity, determination accurate treatments for identification specific are still urgent problems researchers. In this study, expression profiles tissues tumour-adjacent in 28 patients were combined into a human protein–protein interaction (PPI) network construct each patient. A propagation method was used obtain mutant giant cluster (GC) containing more than 90% mutation information Next, selection rules applied GC mine sequence driver genes The sequences from with same type integrated different types CRC, which provide reference clinical disease progression. Finally, dynamic analysis biomarkers (DNBs) patients. These DNBs verified by staging data identify critical transition point between pre-disease state tumour Twelve known drug targets found DNBs, 6 them have been as anticancer drugs treatment. This study provides important prognosis, treatment especially pre-emptive treatments. It great significance reducing incidence mortality CRC.