scholarly journals Mapping Intellectual Structure for the Long Non-Coding RNA in Hepatocellular Carcinoma Development Research

2022 ◽  
Vol 12 ◽  
Author(s):  
Zhifeng Lin ◽  
Xiaohui Ji ◽  
Nana Tian ◽  
Yu Gan ◽  
Li Ke

Background: Emerging research suggests that long non-coding RNAs (lncRNAs) play an important role in a variety of developmental or physiological processes of hepatocellular carcinoma (HCC). Various differentially expressed lncRNAs have been identified in HCC. Thus, a deeper analysis of recent research concerning lncRNA and HCC development could provide scientists with a valuable reference for future studies.Methods: Related publications were retrieved from the Web of Science Core Collection database. CiteSpace version 5.6.R4 was employed to conduct bibliometric analysis. Several network maps were constructed to evaluate the collaborations between different countries, institutions, authors, journals, and keywords.Results: A total of 2,667 records were initially found from the year of 2010–2020. The annual related publications output had increased dramatically during these years. Although China was the most prolific country in terms of research publication, the United States played a leading role in collaborative network. The Nanjing Medical University was the most productive institute in the field of lncRNAs in HCC development. Gang Chen was the most prolific researcher, while Yang F was the most frequently co-cited author. Oncotarget, Cell, and Oncogene were the most highly co-cited journals. The most recent burst keywords were interaction, database, and pathway.Conclusion: This study provides a comprehensive overview for the field of lncRNAs in HCC development based on bibliometric and visualized methods. The results would provide a reference for scholars focusing on this field.

Bioengineered ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 673-681
Author(s):  
Jie Cao ◽  
Lili Wu ◽  
Xin Lei ◽  
Keqing Shi ◽  
Liang Shi ◽  
...  

2017 ◽  
Vol 143 (6) ◽  
pp. 981-990 ◽  
Author(s):  
Ji-Nan Xiao ◽  
Ting-Hua Yan ◽  
Rui-Ming Yu ◽  
Yi Gao ◽  
Wen-Long Zeng ◽  
...  

2021 ◽  
pp. 1-10
Author(s):  
Shuai He ◽  
Jin-Feng Li ◽  
Hao Tian ◽  
Ye Sang ◽  
Xiao-Jing Yang ◽  
...  

BACKGROUND: Early recurrence is the main obstacle for long-term survival of hepatocellular carcinoma (HCC) patients after curative resection. OBJECTIVE: We aimed to develop a long non-coding RNA (lncRNA) based signature to predict early recurrence. METHODS: Using bioinformatics analysis and quantitative reverse transcription PCR (RT-qPCR), we screened for lncRNA candidates that were abnormally expressed in HCC. The expression levels of candidate lncRNAs were analyzed in HCC tissues from 160 patients who underwent curative resection, and a risk model for the prediction of recurrence within 1 year (early recurrence) of HCCs was constructed with linear support vector machine (SVM). RESULTS: A lncRNA-based classifier (Clnc), which contained nine differentially expressed lncRNAs including AF339810, AK026286, BC020899, HEIH, HULC, MALAT1, PVT1, uc003fpg, and ZFAS1 was constructed. In the test set, this classifier reliably predicted early recurrence (AUC, 0.675; sensitivity, 72.0%; specificity, 63.1%) with an odds ratio of 4.390 (95% CI, 2.120–9.090). Clnc showed higher accuracy than traditional clinical features, including tumor size, portal vein tumor thrombus (PVTT) in predicting early recurrence (AUC, 0.675 vs 0.523 vs 0.541), and had much higher sensitivity than Barcelona Clinical Liver Cancer (BCLC; 72.0% vs 50.0%), albeit their AUCs were comparable (0.675 vs 0.678). Moreover, combining Clnc with BCLC significantly increased the AUC, compared with Clnc or BCLC alone in predicting early recurrence (all P< 0.05). Finally, logistic and Cox regression analysis suggested that Clnc was an independent prognostic factor and associated with the early recurrence and recurrence-free survival of HCC patients after resection, respectively (all P= 0.001). CONCLUSIONS: Our lncRNA-based classifier Clnc can predict early recurrence of patients undergoing surgical resection of HCC.


2014 ◽  
Vol 9 (2) ◽  
pp. 955-963 ◽  
Author(s):  
CHAOFENG DING ◽  
ZHE YANG ◽  
ZHEN LV ◽  
CHENGLI DU ◽  
HENG XIAO ◽  
...  

Cell Stress ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 4-6 ◽  
Author(s):  
Maximilian A. Ardelt ◽  
Johanna Pachmayr

Theranostics ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 4929-4944
Author(s):  
Xiaohong Xiang ◽  
Yunong Fu ◽  
Kun Zhao ◽  
Runchen Miao ◽  
Xing Zhang ◽  
...  

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