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
3361 - Providing a nurse-led telephone intervention for patients treated with oral anticancer medication: symptom management and adherence monitoring
Presenter: Etienne Minvielle
Session: Poster Display session 3
Resources:
Abstract
3937 - Chronological evaluation of health-related quality of life and physical symptoms in postoperative pancreatic cancer patients up to 12 months
Presenter: Naoko Sato
Session: Poster Display session 3
Resources:
Abstract
5620 - Understanding the patients’ Experiences of Radiation Therapy: A Qualitative Study on Prostate Cancer Patients
Presenter: Sakarias Johansson
Session: Poster Display session 3
Resources:
Abstract
1792 - Effect of Kegel exercises on prevention of urinary and fecal incontinence in patients with prostate cancer undergoing radiotherapy
Presenter: Aydan Uravylioglu
Session: Poster Display session 3
Resources:
Abstract
2169 - The Meaning of Responsibility – a Secondary Analysis of Patients and Caregivers Calls to an Oncology Emergency Telephone
Presenter: Heidi Jacobsen
Session: Poster Display session 3
Resources:
Abstract
4587 - Cognitive function changes and Associated Factors in Patients Receiving Chemotherapy
Presenter: Elif Dil
Session: Poster Display session 3
Resources:
Abstract
1981 - Prevention of dental complications in patients with multiple myeloma (MM) receiving bisphosphonates treatment
Presenter: CESCA PUIGMARTI
Session: Poster Display session 3
Resources:
Abstract
2725 - Safety profile of oral netupitant/palonosetron in hematopoietic stem cell transplantation recipients.
Presenter: Marina Bosch - Damas
Session: Poster Display session 3
Resources:
Abstract
5112 - Symptomatic and toxicity management of cancer patients using a telephone support model led by the oncology nurse
Presenter: Gemma Simó
Session: Poster Display session 3
Resources:
Abstract
1365 - Symptom cluster of fatigue, sleep disturbance and depression and its impact on quality of life among Chinese breast cancer patients undergoing adjuvant chemotherapy: A cross-sectional study
Presenter: Xiaole HE
Session: Poster Display session 3
Resources:
Abstract