Identifying Apoptosis-Related Transcriptomic Aberrations and Revealing Clinical Relevance as Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma

2019 ◽  
Author(s):  
Bufu Tang ◽  
Jinyu Zhu ◽  
Xiuling Lv ◽  
Miaomiao Meng ◽  
Qiaoyou Weng ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Clinical Relevance ◽  
Prognostic Biomarker

scholarly journals Updated study on action mechanisms of cereblon as a novel prognostic biomarker for hepatocellular carcinoma

HPB ◽  
2019 ◽  
Vol 21 ◽  
pp. S198
Author(s):  
Shin Hwang ◽  
Kyung Jin Lee ◽  
Gi-Won Song ◽  
Yun-Gyu Kim
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Biomarker ◽  
Action Mechanisms

scholarly journals Prognostic Biomarker Identification Through Integrating the Gene Signatures of Hepatocellular Carcinoma Properties

EBioMedicine ◽  
2017 ◽  
Vol 19 ◽  
pp. 18-30 ◽  
Author(s):  
Jialin Cai ◽  
Bin Li ◽  
Yan Zhu ◽  
Xuqian Fang ◽  
Mingyu Zhu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Biomarker ◽  
Biomarker Identification ◽  
Gene Signatures

scholarly journals KIF15 Expression in Tumor-associated Monocytes Is a Prognostic Biomarker in Hepatocellular Carcinoma

2020 ◽  
Vol 17 (2) ◽  
pp. 141-149
Author(s):  
AKIHIRO KITAGAWA ◽  
TAKAAKI MASUDA ◽  
JUNICHI TAKAHASHI ◽  
TARO TOBO ◽  
MIWA NODA ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Biomarker

Kindlin-2: A novel prognostic biomarker for patients with hepatocellular carcinoma

2015 ◽  
Vol 211 (3) ◽  
pp. 198-202 ◽  
Author(s):  
Yong-Sheng Ge ◽  
Dong Liu ◽  
Wei-Dong Jia ◽  
Jian-Sheng Li ◽  
Jin-Liang Ma ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Biomarker

scholarly journals Modularity of the metabolic gene network as a prognostic biomarker for hepatocellular carcinoma

2017 ◽  
Author(s):  
Fengdan Ye ◽  
Dongya Jia ◽  
Mingyang Lu ◽  
Herbert Levine ◽  
Michael W Deem
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Biomarker ◽  
Malignant Tumors ◽  
Aerobic Glycolysis ◽  
Expression Patterns ◽  
Cancer Recurrence ◽  
Metabolic Reprogramming ◽  
The Cancer Genome Atlas ◽  
Driver Genes ◽  
Tumor Stages

AbstractAbnormal metabolism is an emerging hallmark of cancer. Cancer cells utilize both aerobic glycolysis and oxidative phosphorylation (OXPHOS) for energy production and biomass synthesis. Understanding the metabolic reprogramming in cancer can help design therapies to target metabolism and thereby to improve prognosis. We have previously argued that more malignant tumors are usually characterized by a more modular expression pattern of cancer-associated genes. In this work, we analyzed the expression patterns of metabolism genes in terms of modularity for 371 hepatocellular carcinoma (HCC) samples from the Cancer Genome Atlas (TCGA). We found that higher modularity significantly correlated with glycolytic phenotype, later tumor stages, higher metastatic potential, and cancer recurrence, all of which contributed to poorer prognosis. Among patients with recurred tumor, we found the correlation of higher modularity with worse prognosis during early to mid-progression. Furthermore, we developed metrics to calculate individual modularity, which was shown to be predictive of cancer recurrence and patients’ survival and therefore may serve as a prognostic biomarker. Our overall conclusion is that more aggressive HCC tumors, as judged by decreased host survival probability, had more modular expression patterns of metabolic genes. These results may be used to identify cancer driver genes and for drug design.

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