Bioinformatic analysis of the prognostic value of the lncRNAs encoding snoRNAs in hepatocellular carcinoma

BioFactors ◽  
2018 ◽  
Vol 45 (2) ◽  
pp. 244-252 ◽  
Author(s):  
Qingyao Zhu ◽  
Hongjie Yang ◽  
Peng Cheng ◽  
Qian Han
2021 ◽  
Author(s):  
shitao jiang ◽  
Junwei Zhang ◽  
Yaoge Liu ◽  
Ting Zhang ◽  
Lei Zhang ◽  
...  

Abstract The chemokine-like factor (CKLF)-like MARVEL transmembrane domain-containing (CMTM) family refers to an updated gene family involved in diverse pathophysiological processes. However, the effect exerted by CMTM family members (CMTMs) in hepatocellular carcinoma (HCC) is still elusive. Herein, to elucidate the expression, prognostic value, and immune roles of CMTMs in HCC, a comprehensive bioinformatic analysis was carried out. Our findings showed that CKLF, CMTM1, CMTM3-4, and CMTM7-8 displayed higher mRNA expression levels in HCC tissues than in normal tissues, yet CMTM2, CMTM5, and CMTM6 were lower in HCC tissues. The levels of CMTM1, CMTM2, and CMTM4 were related to tumor stage. Survival analysis showed that high levels of CKLF, CMTM1, CMTM4, and CMTM6-7 were associated with shorter overall survival (OS). Conversely, a high level of CMTM5 in HCC patients was associated with improved OS. We also found that CKLF, CMTM1-4, and CMTM6-7 were closely correlated with immune infiltration in the HCC microenvironment. In conclusion, this study indicates that CMTMs exert a crucial effect on HCC microenvironment remodeling. CKLF, CMTM1, CMTM4, and CMTM6-7 are potential targets of precision therapy, and CMTM5 is a tumor-suppressive gene that was associated with improved survival in HCC patients.


2009 ◽  
Vol 15 (3) ◽  
pp. 320 ◽  
Author(s):  
Sung Hoon Kim ◽  
Young-Hwa Chung ◽  
Soo Hyun Yang ◽  
Jeong A Kim ◽  
Myoung Kuk Jang ◽  
...  

2021 ◽  
Author(s):  
Cortlandt M. Sellers ◽  
Johannes Uhlig ◽  
Johannes M. Ludwig ◽  
Jeffrey S. Pollak ◽  
Tamar H. Taddei ◽  
...  

2021 ◽  
Vol 20 ◽  
pp. 153303382098682
Author(s):  
Zhipeng Zhu ◽  
Jiuhua Xu ◽  
Xiaofang Wu ◽  
Sihao Lin ◽  
Lulu Li ◽  
...  

Background: ADAMTS5 has different roles in multiple types of cancers and participates in various molecular mechanisms. However, the prognostic value of ADAMTS5 in patients with hepatocellular carcinoma (HCC) still remains unclear. We carried the study to evaluate the prognostic value and identified underlying molecular mechanisms in HCC. Methods: Firstly, the association of ADAMTS5 expression and clinicopathological parameters was evaluated by in GSE14520. Next, ADAMTS5 expression in HCC was performed using GSE14520, GSE36376, GSE76427 and The Cancer Genome Atlas (TCGA) profile. Furthermore, Kaplan-Meier analysis, Univariate and Multivariate Cox regression analysis, subgroup analysis was performed to evaluate the prognostic value of ADAMTS5 in HCC. Finally, GO enrichment analysis, gene set enrichment analysis (GSEA) and weighted gene co-expression network analysis (WGCNA) were performed to revealed underlying molecular mechanisms. Result: The expression of ADAMTS5 was positively correlated with the development of HCC. Next, high ADAMTS5 expression was significantly associated with poorer survival (all P < 0.05) and the impact of ADAMTS5 on all overall survival (OS), disease-free survival (DFS), relapse-free survival (RFS), disease specific survival (DSS) and progression free interval (PFI) was specific for HCC among other 29 cancer types. Subgroup analysis showed that ADAMTS5 overexpression was significantly associated with poorer OS in patients with HCC. Finally, ADAMTS5 might participate in the status conversion from metabolic-dominant to extracellular matrix-dominant, and the activation of ECM-related biological process might contribute to high higher mortality risk for patients with HCC. Conclusion: ADAMTS5 may play an important role in the progression of HCC, and may be considered as a novel and effective biomarker for predicting prognosis for patients with HCC.


HPB ◽  
2018 ◽  
Vol 20 ◽  
pp. S72
Author(s):  
S. Bergstresser ◽  
P. Li ◽  
K. Vines ◽  
B. Comeaux ◽  
J. Zarzour ◽  
...  

2013 ◽  
Vol 109 (6) ◽  
pp. 1648-1656 ◽  
Author(s):  
J-B Zhang ◽  
K Guo ◽  
H-C Sun ◽  
X-D Zhu ◽  
B Zhang ◽  
...  

2018 ◽  
Vol Volume 10 ◽  
pp. 5027-5041 ◽  
Author(s):  
Guanqun Huang ◽  
Hui Jiang ◽  
Ye Lin ◽  
Yanpeng Wu ◽  
Weilong Cai ◽  
...  

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