Circulating LncRNAs Serve as Diagnostic Markers for Hepatocellular Carcinoma

Background/Aims: Circulating (serous or plasmic) long non-coding RNA (lncRNA) as biomarkers for predicting the diagnosis or prognosis of human disease have been well documented. Due to the sensibility or specificity limitation of Alpha Fetoprotein (AFP), a cluster lncRNAs were revealed as fingerprints for hepatocellular carcinoma (HCC). In this study, we enrolled all the reported circulating lncRNAs in HCC as candidate targets and examined in an independent cohort. Methods: The candidate lncRNAs were determined by qRT-PCR divided into training and validation sets. The risk score analysis was employed to evaluate the potential diagnosis ability of the lncRNAs independently or combining with AFP value. The receiver operating characteristic curve (ROC) was applied for presentation of sensibility or specificity. Results: Among the ten candidate circulating lncRNA, LINC00152, RP11-160H22.5, XLOC014172 and LOC149086 were screened with significant difference in training set. Further investigation in validation set indicated LINC00152, RP11-160H22.5 and XLOC014172 might be the fingerprints for HCC comparing with chronic hepatitis (CH) patients or healthy controls. The risk score analysis revealed the combination of three lncRNAs with AFP could distinguish the HCC from either CH or healthy control with the area under curve value (AUC) of 0.986 and 0.985, respectively. Conclusion: The three lncRNAs may act as novel biomarkers for acting as fingerprint in HCC combining with AFP.

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Development and Validation of a Pyroptosis-Related Long Non-coding RNA Signature for Hepatocellular Carcinoma

Frontiers in Cell and Developmental Biology ◽

10.3389/fcell.2021.713925 ◽

2021 ◽

Vol 9 ◽

Author(s):

Zeng-Hong Wu ◽

Zi-Wei Li ◽

Dong-Liang Yang ◽

Jia Liu

Keyword(s):

Hepatocellular Carcinoma ◽

High Risk ◽

Tumor Microenvironment ◽

Risk Score ◽

Low Risk ◽

Lasso Regression ◽

Non Coding Rna ◽

Novel Biomarkers ◽

Development And Validation ◽

Long Non Coding Rna

Background: Hepatocellular carcinoma (HCC) is a highly aggressive malignant disease, and numerous studies have demonstrated that an inflammatory environment can induce normal cells to transform into cancerous.Methods: We integrated genomic data to comprehensively assess the association between pyroptosis and tumor microenvironment (TME) cell-infiltrating characteristics in HCC, as well as the potential molecular function and clinical significance of lncRNA.Results: The analysis of CNV alteration frequency displayed that CNV changes were common in 33 PRGs, and most were focused on copy number amplification. As a result of lasso regression analysis, nine differentially expressed lncRNAs (AL031985.3, NRAV, OSMR-AS1, AC073611.1, MKLN1-AS, AL137186.2, AL049840.4, MIR4435-2HG, and AL118511.1) were selected as independent prognosis factors of HCC patients. Patients at high risk have poorer survival than those in the low-risk group in training and testing cohorts. A low-risk score was significantly associated with an IC50 of chemotherapeutics such as bortezomib (p < 0.001), but a high-risk score was significantly linked to docetaxel (p < 0.001), implying that signature served as a prospective predictor for chemosensitivity.Conclusion: This work suggests pyroptosis-related lncRNAs features and their potential mechanisms on tumor microenvironment. The exploration may assist in identifying novel biomarkers and assist patients in predicting their prognosis, clinical diagnosis, and management.

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Circulating LncRNA Serve as Fingerprint for Gestational Diabetes Mellitus Associated with Risk of Macrosomia

Cellular Physiology and Biochemistry ◽

10.1159/000491969 ◽

2018 ◽

Vol 48 (3) ◽

pp. 1012-1018 ◽

Cited By ~ 7

Author(s):

Jianfeng Lu ◽

Jinbao Wu ◽

Ziyu Zhao ◽

Jinmei Wang ◽

Zhong Chen

Keyword(s):

Diabetes Mellitus ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Characteristic Curve ◽

Prediction Ability ◽

Group Iii ◽

Score Analysis ◽

Area Under Roc Curve ◽

Healthy Control ◽

Validation Set

Background/Aims: Fetal macrosomia and its associated complications are the most frequent and serious morbidities for infants associated with gestational diabetes mellitus (GDM). The aim of this study was to evaluate the lncRNAs involvement in GDM, especially for the prediction of risk for fetal overgrowth. Methods: The peripheral blood obtained from four group including healthy control (NC), healthy volunteers with pregnancy (NC-P), GDM patients with and without macrosomia were screened by lncRNA microarray and validated by quantitative real-time PCR (RT-qPCR) arranged in the training and a two-stage validation sets. The positive and negative prediction ability for candidate lncRNAs were analyzed by risk score analysis. Results: A multiple venny analysis was performed revealed five candidate lncRNA including XLOC_014172, RP11-230G5.2, PCBP1-AS1, LOC149086 and RP11-160H22.5 which was consistence with the following parameter: i, increased in GDM patients with macrosomia (GDM-M) comparing with patients without macrosomia; ii, increased in GDM-M comparing with NC-P group; iii, increased in GDM-M comparing with NC. Further validation found XLOC_014172 and RP11-230G5.2 was final consistence with these parameter in 150 samples each group. Further receiver operating characteristic curve (ROC) analysis, with the combined two stably expressed lncRNAs indicated a high diagnostic ability an area under ROC curve value (AUC) of 0.955 and 0.962 in training set and validation set respectively. Conclusions: Circulating XLOC_014172 and RP11-230G5.2 may act as novel biomarkers in GDM patients as fingerprint for the risk of macrosomia outcome.

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Long non-coding RNA ZEB1-AS1 promotes proliferation and metastasis of hepatocellular carcinoma cells by targeting miR-299-3p/E2F1 axis

The Journal of Biochemistry ◽

10.1093/jb/mvab042 ◽

2021 ◽

Author(s):

Baiyin Mu ◽

Chenlan Lv ◽

Qingli Liu ◽

Hong Yang

Keyword(s):

Hepatocellular Carcinoma ◽

Cell Proliferation ◽

Luciferase Reporter ◽

Migration And Invasion ◽

Non Coding Rna ◽

Tumorigenesis And Progression ◽

Novel Biomarkers ◽

Proliferation And Metastasis ◽

Long Non Coding Rna

Abstract There is emerging evidence that dysregulation of long non-coding RNAs (lncRNAs) is associated with hepatocellular carcinoma (HCC). Zinc finger E-box binding homeobox 1 antisense 1 (ZEB1-AS1) functions as an oncogenic regulator in various malignancies. Nonetheless, the potential role of ZEB1-AS1 in HCC remains poorly elucidated. Herein, qRT-PCR was employed for examining ZEB1-AS1, miR-299-3p and E2F1 mRNA expressions in HCC cells and tissues. MTT assay was performed to evaluate cell proliferation. Transwell assay was utilized for evaluating cancer cell migration and invasion. Western blot was employed for measuring E2F1 protein expression. What’s more, dual-luciferase reporter assay was utilized for verifying the targeting relationships between ZEB1-AS1 and miR-299-3p, as well as E2F1 and miR-299-3p. It was demonstrated that, in HCC tissues and cells, ZEB1-AS1 expression was markedly increased, and meanwhile, its high expression level is related to the unfavorable clinicopathologic indicators. ZEB1-AS1 overexpression facilitated HCC cell proliferation, migration and invasion, while its knockdown led to the opposite effects. In terms of mechanism, we discovered that ZEB1-AS1 could decoy miR-299-3p and up-regulate E2F1 expression. This work reveals the functions and mechanism of ZEB1-AS1 in HCC tumorigenesis and progression, which provides novel biomarkers and therapeutic targets for HCC.

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