Investigation of the Clinical Significance and Prognostic Value of the lncRNA <i>ACVR2B-As1</i> in Liver Cancer

Nie, Yuanyuan; Jiao, Yan; Li, Yanqing; Li, Wei

doi:10.1155/2019/4602371

Cited by 23 publications

(16 citation statements)

References 25 publications

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“…Finding promising biomarkers can accurately assess the prognosis and timely assist systemic treatment of liver cancer patients. Many researches have been seeking the diagnostic and prognostic biomarkers all the time [26][27][28][29][30][31][32][33][34][35][36][37]. Here, we first found that HN1 mRNA overexpressed in liver cancer.…”

Section: Discussionmentioning

confidence: 95%

HN1 as a diagnostic and prognostic biomarker for liver cancer

Liu

Yang

et al. 2020

Bioscience Reports

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Background: The present study aimed to examine the diagnostic and prognostic value of HN1 in terms of overall survival (OS) and recurrence-free survival (RFS) in liver cancer and its potential regulatory signaling pathway. Methods: We obtained clinical data and HN1 RNA-seq expression data of liver cancer patients from The Cancer Genome Atlas database, and analyzed the differences and clinical association of HN1 expression in different clinical features. We uesd receiver-operating characteristic curve to evaluate the diagnosis capability of HN1. We analyzed and evaluated the prognostic significance of HN1 by Kaplan–Meier curves and Cox analysis. Gene Set Enrichment Analysis (GSEA) was used to identify signaling pathways related to HN1 expression. Results: HN1 mRNA was up-regulated in liver cancer, and was associated with age, histologic grade, stage, T classification, M classification, and vital status. HN1 mRNA had ideal specificity and sensitivity for the diagnosis (AUC = 0.855). Besides, the analysis of Kaplan–Meier curves and Cox model showed that HN1 mRNA was strongly associated with the overall survival and could be well-predicted liver cancer prognosis, as an independent prognostic variable. GSEA analysis identified three signaling pathways that were enriched in the presence of high HN1 expression. Conclusion: HN1 serves as a biomarker of diagnosis and prognosis in liver cancer.

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Section: Discussionmentioning

confidence: 95%

HN1 as a diagnostic and prognostic biomarker for liver cancer

Liu

Yang

et al. 2020

Bioscience Reports

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“…Our group has, after a long period of research, identified a variety of novel LC biomarkers [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38]. This study confirmed that hepatic PDK2 levels were lower in cancerous tissue than in normal tissue.…”

Section: Discussionmentioning

confidence: 54%

PDK2: a novel diagnostic and prognostic biomarker for liver cancer

Liu

Jiao

et al. 2020

Preprint

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Background: Liver cancer (LC) is a common malignancy with very high morbidity. Pyruvate dehydrogenase kinases (PDKs) are regulators of mitochondrial pyruvate dehydrogenase complexes (PDCs) and play an important role in regulating cellular energy metabolism. In this study, The Cancer Genome Atlas (TCGA) database was used to analyze the expression of PDK2 mRNA in LC, and to explore the value of PDK2 in the diagnosis and prognosis of LC.Methods: The TCGA database, containing the clinical data of 373 LC patients, includes information on PDK2 expression values. The receiver operating characteristic (ROC) curve of PDK2 was drawn to evaluate its diagnostic ability. Patients were divided into PDK2 high- and low-expressing groups by threshold levels. The Chi-square test was used to evaluate the correlation between PDK2 levels and clinicopathological characteristics. The Kaplan-Meier estimator and Cox regression analysis were performed to assess the effect of PDK2 levels on survival outcomes.Results: PDK2 expression in LC tissue was lower than that in normal liver tissues. According to the area under the curve (AUC) value calculated by ROC, PDK2 has a considerable diagnostic value for LC prognosis. The decreased expression of PDK2 is associated with clinical parameters, such as histologic grade ( P =0.0001), radiation therapy ( P =0.0490), vital status ( P =0.0240), and overall survival (OS) ( P =0.0222). Multivariate analysis shows that decreased PDK2 level is an independent risk factor for predicting poor prognosis in LC.Conclusions: PDK2 has a significant impact on the prognosis of LC and is a potential biomarker for the diagnosis and prognosis of LC.

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“…In recent years, bioinformatics has attracted much attention because of its significance in screening markers. We also have been working on the exploration biomarkers for different types of cancer by bioinformatics [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Discussionmentioning

confidence: 99%

The prognostic value of lncRNA SNHG4 and its potential mechanism in liver cancer

Jiao

Jia

et al. 2020

Bioscience Reports

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Background and object: Emerging evidence shows that non-coding RNA functions as new gene regulators and prognostic markers in several cancers, including liver cancer. Here, we focused on the small nucleolar RNA host gene 4 (SNHG4) in liver cancer prognosis based on The Cancer Genome Atlas (TCGA) data. Methods: The expression data and clinical information were downloaded from TCGA. Chi-square tests evaluated the correlation between SNHG4 expression and clinical parameters. Differences in survival between high and low expression groups (optic cutoff value determined by ROC) from Cox regression analysis were compared, and P-value was calculated by a log-rank test. Kaplan–Meier curves were compared with the log-rank test. GSEA and ceRNA network were conducted to explore the potential mechanism. Results: Data mining of lncRNA expression data for 371 patients with primary tumor revealed overexpression of SNHG4 in liver cancer. High SNHG4 expression was correlated with histological type (P = 0.01), histologic grade (P = 0.001), stage (P = 0.01), T classification (P = 0.004) and survival status (P = 0.013). Patients with high SNHG4 expression had poor overall survival and relapse-free survival compared with those with low SNHG4 expression. Multivariate analysis identified SNHG4 as an independent prognostic factor of poor survival in liver cancer. GSEA revealed related signaling pathway and ceRNA network explored the further mechanism. Conclusion: High SNHG4 expression is an independent predictor of poor prognosis in liver cancer.

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Investigation of the Clinical Significance and Prognostic Value of the lncRNA ACVR2B-As1 in Liver Cancer

Cited by 23 publications

References 25 publications

HN1 as a diagnostic and prognostic biomarker for liver cancer

HN1 as a diagnostic and prognostic biomarker for liver cancer

PDK2: a novel diagnostic and prognostic biomarker for liver cancer

The prognostic value of lncRNA SNHG4 and its potential mechanism in liver cancer

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