1. Identification and validation of the angiogenic genes for constructing diagnostic, prognostic, and recurrence models for hepatocellular carcinoma
- Author
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Jinyu Zhu, Yueli Shi, Min Xu, Miaomiao Meng, Jie Li, Minjiang Chen, Nannan Zhang, Kai Fan, Xiuling Lv, Bufu Tang, Qiaoyou Weng, and Jiansong Ji
- Subjects
Oncology ,Male ,Aging ,medicine.medical_specialty ,MMP3 ,recurrence ,Carcinoma, Hepatocellular ,Angiogenesis ,diagnosis ,chemistry.chemical_compound ,angiogenesis ,hepatocellular carcinoma (HCC) ,Internal medicine ,medicine ,Biomarkers, Tumor ,Humans ,RNA, Neoplasm ,Gene ,Piperlongumine ,business.industry ,Gene Expression Profiling ,Liver Neoplasms ,Cell Biology ,Nomogram ,medicine.disease ,Prognosis ,Training cohort ,Gene Expression Regulation, Neoplastic ,chemistry ,Hepatocellular carcinoma ,Female ,Neoplasm Recurrence, Local ,business ,Transcriptome ,Selection operator ,Research Paper - Abstract
Since angiogenesis has an indispensable effect in the development and progression of tumors, in this study we aimed to identify angiogenic genes closely associated with prognosis of HCC to establish diagnostic, prognostic, and recurrence models. We analyzed 132 angiogenic genes and HCC-related RNA sequence data from the TCGA and ICGC databases by Cox and least absolute shrinkage and selection operator (LASSO) regression, and identified four angiogenic genes (ENFA3, EGF, MMP3 and AURKB) to establish prognosis, recurrence and diagnostic models and corresponding nomograms. The prognostic and recurrence models were determined to be independent predictors of prognosis and recurrence (P < 0.05). And compared with the low-risk group, patients in the high-risk group had worse overall survival (OS) rates in training cohort (P < 0.001) and validation cohort (P < 0.001), and higher recurrence rates in training cohort (P
- Published
- 2020