Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

E-Poster Display

1967P - Comprehensive analysis of a microvascular invasion related ceRNA network reveals a potential prognostic lncRNAs signature involved in hepatocellular carcinoma progression and sorafenib resistance

Date

17 Sep 2020

Session

E-Poster Display

Topics

Translational Research

Tumour Site

Presenters

Xinyu Bi

Citation

Annals of Oncology (2020) 31 (suppl_4): S1034-S1051. 10.1016/annonc/annonc294

Authors

X. Bi, Z. Luo

Author affiliations

  • Department Of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021 - Beijing/CN

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 1967P

Background

Survival problems in hepatocellular carcinoma (HCC) challenge the clinical practice, and drug resistance is one of the major obstacles. Microvascular invasion (MVI) is a histological feature of HCC related to aggressive biological behavior. Its influence on sorafenib sensitivity has been reported. But the mechanism was unclear. This study aimed to investigate the regulatory mechanisms and functional roles of lncRNAs as ceRNAs in MVI genesis, HCC progression, and sorafenib resistance.

Methods

We systematically studied the RNA-seq data of HCC. First established an MVI related network of dysregulated ceRNAs. Then, developed a lncRNA signature with prognostic lncRNAs. Finally, HCC’s sensitivity to sorafenib was tested by this lncRNA signature with an extensive bioinformatics method.

Results

An MVI related deregulated ceRNA network consisting of 13 lncRNAs, three miRNAs, and two mRNAs was constructed. A risk score system based on four prognostic lncRNAs (AC002511.1, ARHGEF7-AS1, ATP2B2-IT1, and ZNF385D-AS1) was developed as a lncRNA signature, which showed good discrimination and predictive ability for OS. Deep data mining into pharmacology dataset shew lncRNA signature score was positively related to sorafenib IC50 (Rho=0.2, P=0.005); additionally, multivariant logistics confirmed our lncRNA signature score was an independent risk factor for sorafenib resistance (OR=1.94, P=0.03).

Conclusions

MVI related lncRNAs signature could be a prognostic biomarker for HCC and might contribute to sorafenib resistance. Targeted the 4 lncRNAs in our study might improve the efficacy of sorafenib. Moreover, this “ceRNA network-lncRNA prognostic signature-sorafenib resistance” approach to investigating the mechanism concealed between MVI and sorafenib narrowed the scope of target lncRNAs, but also gave a hint to drug resistance research, which will help expand our understanding of the ceRNA mechanisms involved in the early development of MVI and sorafenib resistance in HCC.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Xinyu Bi and Zhiwen Luo.

Funding

The state key project on infection diseases of China (Grant No. 2018ZX10723204-005-003).

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.