Abstract 1573
Background
Hepatocellular carcinoma (HCC) is one of the most aggressive malignant tumors, with a poor long-term prognosis worldwide. The functional deregulations of global transcriptome were associated with the genesis and development of HCC. However, reliable molecular signatures predicting overall survival (OS) lacks of systematic research and validation.
Methods
A total of 519 postoperative HCC patients were included. We built an interactive and visual competing endogenous RNA (ceRNA) network from The Cancer Genome Atlas (TCGA) database. The prognostic signature was established with the least absolute shrinkage and selection operator (LASSO) algorithm. Multivariate Cox regression analysis and subgroup analysis was used to screen for independent prognostic factors. A time-dependent ROC curve analysis was performed to compare predictive value of the prognostic signature. The robustness of the prognostic signature was validated in validation cohorts.
Results
There were 39 differentially expressed mRNAs (DEmRNAs), 83 differentially expressed lncRNAs and 20 differentially expressed miRNAs involved in the ceRNA network. Twenty DEmRNAs were found to be significantly associated with OS. We identified a 4-gene signature (PBK, CBX2, CLSPN and CPEB3) using LASSO regression in the training set. Patients in the high-score group exhibited worse survival than those in the low-score group (HR = 2.444, P = 0.0004), and median OS was significantly shorter in the high-score group than in the low-score group (1005 days versus 2456 days). The 4-gene signature was an independent prognostic factor in multivariate Cox regression and subgroup analysis, particularly for patients with serum AFP ≥ 20 ng/ml. The results were validated in internal validation set (P = 0.0057) and two external validation cohorts (HR = 1.505 and 2.626). The signature (AUCs of one, two, three years were 0.716, 0.726, 0.714, respectively) showed high prognostic accuracy.
Conclusions
We constructed a novel lncRNA-miRNA-mRNA ceRNA network for HCC based on genome-wide analysis. Then we identified a 4-gene signature as a new candidate therapeutic decision marker that yields great promise in the prediction of HCC OS.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Sun Yat-Sen University.
Funding
National Natural Science Foundation of China.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4097 - Targeting NRG1-fusions in multiple tumour types: Afatinib as a novel potential treatment option
Presenter: Stephen V Liu
Session: Poster Display session 3
Resources:
Abstract
1129 - Aspirin and Ticagrelor for the prevention of tumour cell induced platelet aggregation
Presenter: Meera Chauhan
Session: Poster Display session 3
Resources:
Abstract
4514 - Pharmacokinetic/ pharmacodynamic (PK/PD) exposure-response characterization of GSK3359609 (GSK609) from INDUCE-1, a phase I open-label study
Presenter: Michele Maio
Session: Poster Display session 3
Resources:
Abstract
5169 - In vitro functional interrogation of viable Circulating Tumor Associated Cells (C-TACs) for evaluating Platin resistance.
Presenter: Stefan Schuster
Session: Poster Display session 3
Resources:
Abstract
5827 - Targeting ARG2 as a novel therapeutic approach for cancer
Presenter: Marcin Grzybowski
Session: Poster Display session 3
Resources:
Abstract
3129 - MPS1 and PLK1 as new therapy targets in TP53 mutated solid tumors
Presenter: Balazs Gyorffy
Session: Poster Display session 3
Resources:
Abstract
2129 - The Tumor Static Exposure (TSE) concept & utility: application to combination treatment of radiation and radiosensitizing agent in tumor xenograft experiments
Presenter: Samer El Bawab
Session: Poster Display session 3
Resources:
Abstract
1814 - General Methodology to Optimize Tumor Treating Fields Delivery Utilizing Numerical Simulations
Presenter: Noa Urman
Session: Poster Display session 3
Resources:
Abstract
3010 - The Australian Exceptional Responders Program: a National collaboration
Presenter: Megan Barnet
Session: Poster Display session 3
Resources:
Abstract
4489 - A Window of Opportunity Trial of Atorvastatin Targeting p53 Mutant Malignancies
Presenter: Joaquina Baranda
Session: Poster Display session 3
Resources:
Abstract