تجاوز إلى المحتوى الرئيسي

lnc‐HOTAIR predicts hepatocellular carcinoma in chronic hepatitis C genotype 4 following direct‐acting antivirals therapy

Author name : Ahmed Hamed Bayoumi Hassan
Publication Date : 2020-09-29
Journal Name : Molecular Carcinogenesis

Abstract

Emerging hepatocellular carcinoma (HCC) has been sequentially reported in chronic
hepatitis C virus (HCV) treated with direct‐acting antivirals (DAAs). Homeobox
transcript antisense RNA (HOTAIR), an oncogene, has been reported to be associated
with cancer. We investigated the predictive value of lnc‐HOTAIR for HCC surveillance in chronic HCV patients following DAAs therapy. The expression levels of lnc‐
HOTAIR and ATG‐7 genes were measured in 220 with chronic HCV, following a
DAAs based therapy for 12 weeks, the patients were followed‐up for attentive
surveillance of HCC for 12 months after starting DAAs. In terms of lnc‐HOTAIR,
patients with HCC and high viral load had significantly higher median expression
levels of HOTAIR of (68 vs. 24; p = .001) and (94 vs. 52; p = .001), respectively.
Moreover, the median expression level of ATG‐7 was higher in those who developed
HCC (114 vs. 51; p = .001). The expression of lnc‐HOTAIR and ATG‐7 are significant
predictors of the development of HCC in HCV‐4 infected patients treated with
DAAs, with a cut‐off value of 37 and 86, respectively. The increased expression
levels of lnc‐HOTAIR more than 68 in HCC patients following DAAs were correlated
with poorer disease outcomes compared to those with lower expression levels;
however, ATG‐7 expression levels more than 114 were correlated with worse
overall survival but not the progression‐free one. We suggest that high expression
levels of lnc‐HOTAIR could serve as a risk assessment biomarker for HCC before and
during DAAs course therapy in Chronic HCV‐4 patients, and should be rigorously
taken into consideration before DAAs.

Keywords

ATG‐7, direct‐acting antivirals (DAAs), hepatitis C‐induced hepatocellular carcinoma, lnc‐HOTAIR, lncRNAs

Publication Link

https://onlinelibrary.wiley.com/doi/full/10.1002/mc.23263

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
تواصل معنا