The prominence of potential biomarkers in the diagnosis and management of hepatocellular carcinoma: Current scenario and future anticipation

Author(s):  
Ishfaq Hassan Mir ◽  
K. C. Jyothi ◽  
Chinnasamy Thirunavukkarasu
BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ping Yan ◽  
Zuotian Huang ◽  
Tong Mou ◽  
Yunhai Luo ◽  
Yanyao Liu ◽  
...  

Abstract Background Hepatocellular carcinoma (HCC) is one of the most common and deadly malignant tumors, with a high rate of recurrence worldwide. This study aimed to investigate the mechanism underlying the progression of HCC and to identify recurrence-related biomarkers. Methods We first analyzed 132 HCC patients with paired tumor and adjacent normal tissue samples from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). The expression profiles and clinical information of 372 HCC patients from The Cancer Genome Atlas (TCGA) database were next analyzed to further validate the DEGs, construct competing endogenous RNA (ceRNA) networks and discover the prognostic genes associated with recurrence. Finally, several recurrence-related genes were evaluated in two external cohorts, consisting of fifty-two and forty-nine HCC patients, respectively. Results With the comprehensive strategies of data mining, two potential interactive ceRNA networks were constructed based on the competitive relationships of the ceRNA hypothesis. The ‘upregulated’ ceRNA network consists of 6 upregulated lncRNAs, 3 downregulated miRNAs and 5 upregulated mRNAs, and the ‘downregulated’ network includes 4 downregulated lncRNAs, 12 upregulated miRNAs and 67 downregulated mRNAs. Survival analysis of the genes in the ceRNA networks demonstrated that 20 mRNAs were significantly associated with recurrence-free survival (RFS). Based on the prognostic mRNAs, a four-gene signature (ADH4, DNASE1L3, HGFAC and MELK) was established with the least absolute shrinkage and selection operator (LASSO) algorithm to predict the RFS of HCC patients, the performance of which was evaluated by receiver operating characteristic curves. The signature was also validated in two external cohort and displayed effective discrimination and prediction for the RFS of HCC patients. Conclusions In conclusion, the present study elucidated the underlying mechanisms of tumorigenesis and progression, provided two visualized ceRNA networks and successfully identified several potential biomarkers for HCC recurrence prediction and targeted therapies.


2021 ◽  
Author(s):  
Yu-Xian Liu ◽  
Qian-Zhong Li ◽  
Yan-Ni Cao

Four genes related to DNA methylation were found to be independent prognostic factors and potential biomarkers for hepatocellular carcinoma.


Neoplasma ◽  
2012 ◽  
Vol 60 (02) ◽  
pp. 135-142 ◽  
Author(s):  
J. QI ◽  
J. WANG ◽  
H. KATAYAMA ◽  
S. SEN ◽  
S. M. LIU

2021 ◽  
Vol 17 (1) ◽  
pp. 220-235
Author(s):  
Donghong Yuan ◽  
Yu Chen ◽  
Xiaobing Li ◽  
Jing Li ◽  
Yueshui Zhao ◽  
...  

2012 ◽  
Vol 32 (2) ◽  
pp. 174-199 ◽  
Author(s):  
Ayman A. Abdo ◽  
Mazen Hassanain ◽  
AbdulRahman AlJumah ◽  
Ashwaq Al Olayan ◽  
Faisal M. Sanai ◽  
...  

2018 ◽  
Vol 12 (3) ◽  
pp. 245-256 ◽  
Author(s):  
Mahmoud A Ali ◽  
Marwa Matboli ◽  
Nashwa El-Khazragy ◽  
Osama Saber ◽  
Sarah El-Nakeep ◽  
...  

2021 ◽  
Vol 4 (1) ◽  
pp. 19-25
Author(s):  
Salem Youssef Mohamed

Hepatocellular carcinoma (HCC) is a heterogeneous disease that develops most of the time on diseases liver. Early diagnosis and management are the best options for the patients, so screening programs are mandatory for those who are at risk of the development of HCC. Despite the challenge of management of HCC, there is hopeful management for HCC as the field of primary liver cancer has moved quickly


2005 ◽  
Vol 5 (1) ◽  
pp. 1-13 ◽  
Author(s):  
J. F. Perry ◽  
H. Poustchi ◽  
J. George ◽  
G. C. Farrell ◽  
G. W. McCaughan ◽  
...  

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