Prognostic effect of a novel long noncoding RNA signature and comparison with clinical staging systems for patients with hepatitis B virus‐related hepatocellular carcinoma after hepatectomy
Autor: | Yue Min Feng, Tian Tian Liu, Xiao Nan Su, Qiang Zhu, Cheng Yong Qin, Jian Ni Qi, Hao Wu, Xiao Yu Xie |
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Rok vydání: | 2020 |
Předmět: |
Oncology
Hepatitis B virus medicine.medical_specialty Carcinoma Hepatocellular medicine.medical_treatment medicine.disease_cause 03 medical and health sciences 0302 clinical medicine Internal medicine Biomarkers Tumor medicine Hepatectomy Humans In Situ Hybridization Fluorescence Neoplasm Staging Receiver operating characteristic business.industry Proportional hazards model Liver Neoplasms Gastroenterology Nomogram Hepatitis B Prognosis medicine.disease digestive system diseases Long non-coding RNA Gene Expression Regulation Neoplastic 030220 oncology & carcinogenesis Hepatocellular carcinoma RNA Long Noncoding 030211 gastroenterology & hepatology business |
Zdroj: | Journal of Digestive Diseases. 21:650-663 |
ISSN: | 1751-2980 1751-2972 |
Popis: | Objectives We aimed to establish a novel prognostic long noncoding RNA (lncRNA) signature for hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) patients after hepatectomy and to validate its prognostic efficacy compared with other clinical staging systems. Methods Expression data of 374 HCC samples were retrieved from The Cancer Genome Atlas (TCGA) database. Cox regression analyses were performed to develop the lncRNA model. The expression levels of lncRNAs were detected by qualitative real-time polymerase chain reaction (qRT-PCR) in HBV-HCC. Then the qRT-PCR-based signature and nomogram were constructed and compared with those of other clinical staging systems in a clinical cohort and qRT-PCR, RNA fluorescent in situ hybridization and comprehensive bioinformatics analyses were conducted. Results The signature containing five lncRNAs was constructed through TCGA. This model showed the highest predictive efficacy in patients with HBV-HCC. Compared with normal liver tissues, all lncRNAs were highly expressed in HBV-HCC. A four-lncRNA signature containing LINC01116, DDX11-AS1, LUCAT1 and FIRRE was developed based on the qRT-PCR data in a clinical HBV-HCC patient cohort. A Kaplan-Meier analysis indicated that the low-risk group had significantly longer overall survival than the high-risk group. Additionally, the qRT-PCR-based four-lncRNA formula was an independent prognostic factor and had better predictive efficacy for survival (area under the receiver operating characteristic curve 0.875) compared with other clinical staging systems in HBV-HCC. The lncRNA-mRNA co-expression and enrichment analyses revealed the potential regulatory mechanisms of the lncRNA identified. Conclusion The four-lncRNA model may be an effective prognostic signature and provides potential prognostic biomarkers and therapeutic targets for HBV-HCC. |
Databáze: | OpenAIRE |
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