scholarly journals Novel Insights Into MALAT1 Function as a MicroRNA Sponge in NSCLC

2021 ◽  
Vol 11 ◽  
Author(s):  
Qinfeng Zhou ◽  
Lianfang Liu ◽  
Jing Zhou ◽  
Yuanyuan Chen ◽  
Dacheng Xie ◽  
...  

The long non-coding RNA metastasis-associated lung adenocarcinoma transcript-1 (MALAT1) was initially found to be overexpressed in early non-small cell lung cancer (NSCLC). Accumulating studies have shown that MALAT1 is overexpressed in the tissue or serum of NSCLC and plays a key role in its occurrence and development. In addition, the expression level of MALAT1 is significantly related to the tumor size, stage, metastasis, and distant invasion of NSCLC. Therefore, MALAT1 could be used as a biomarker for the early diagnosis, severity assessment, or prognosis evaluation of NSCLC patients. This review describes the basic properties and biological functions of MALAT1, focuses on the specific molecular mechanism of MALAT1 as a microRNA sponge in the occurrence and development of NSCLC in recent years, and emphasizes the application and potential prospect of MALAT1 in molecular biological markers and targeted therapy of NSCLC.

2020 ◽  
Author(s):  
Rui-Qi Wang ◽  
Xiao-Ran Long ◽  
Chun-Lei Ge ◽  
Mei-Yin Zhang ◽  
Long Huang ◽  
...  

Abstract Background:This study aims to identify a long non-coding RNA (lncRNA) signature for predicting survival in non-small-cell lung carcinoma (NSCLC) patients and providing additional prognostic information to the tumor node metastasis (TNM) staging system. Methods: NSCLC cases from a hospital were divided into a discovery cohort (n=194) and validation cohort (n=172) and analyzed using a custom lncRNA microarray. Another 73 cases obtained from another hospital were assayed using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). The differentially expressed lncRNAs were detected by significance analysis of microarrays (SAM) program and used for identifying those associated with survival in the discovery cohort, which were then employed to construct a prognostic lncRNA signature using a risk-score method. The signature was then confirmed in the validation and independent cohort as well. Results: The discovery cohort was found to comprise of 305 lncRNAs, which showed differential expression between the NSCLC and the corresponding normal lung tissues, a 4-lncRNA signature was identified that was found to significantly correlate with the survival of the NSCLC patients. This signature was further validated in the validation and independent cohort. Moreover, multivariate Cox analysis demonstrates that the 4-lncRNA signature is independent of the TNM staging system.as a risk-score model. The receiver operating characteristic (ROC) curve indicates that the prognostic value of the combined model is significantly higher than that of TNM staging alone in all the cohorts. Conclusions:This study identified a 4-lncRNA signature, which is a powerful prognostic biomarker which related to patient survival in addition to the traditional TNM staging system.


2019 ◽  
Vol 39 (1) ◽  
Author(s):  
Zhenhua Zhang ◽  
Yong Wang ◽  
Wei Zhang ◽  
Junyan Li ◽  
Weiliang Liu ◽  
...  

AbstractLong non-coding RNA (lncRNA) SNHG14 is previously found to be overexpressed in several types of cancers. However, the clinical significance and biological function of SNHG14 in non-small cell lung cancer (NSCLC) are still elusive. In the present study, we found that SNHG14 was aberrantly up-regulated in NSCLC tissues from patients and cell lines compared with their normal counterparts. Increased SNHG14 expression was closely associated with aggressive tumor progression and poor clinical outcome of NSCLC patients. Knockdown of SNHG14 inhibited NSCLC cell proliferation through inducing cell cycle arrest and apoptosis, whereas SNHG14 overexpression exerted the opposite effects. Animal experiment further revealed that down-regulated SNHG14 greatly inhibited NSCLC tumor growth in vivo. Further studies demonstrated that SNHG14 might serve as a competing endogenous RNA (ceRNA) by sponging miR-340 in NSCLC cells. Taken together, our study demonstrated that SNHG14/miR-340 axis might play a novel role in regulating the malignant behaviors of NSCLC, which provided a new potential diagnostic and therapeutic strategy for this malignant disease.


2021 ◽  
Vol 112 (3) ◽  
Author(s):  
Dongguo LIU ◽  
Haibo LIU ◽  
Zongpeng JIANG ◽  
Minglian CHEN ◽  
Shuncui GAO

2017 ◽  
Vol 16 (4) ◽  
pp. 4107-4112 ◽  
Author(s):  
Bin Liu ◽  
Chun-Feng Pan ◽  
Teng Ma ◽  
Jun Wang ◽  
Guo-Liang Yao ◽  
...  

2020 ◽  
Vol 40 (1) ◽  
Author(s):  
Yafeng Fan ◽  
Hongxia Li ◽  
Zhongping Yu ◽  
Wen Dong ◽  
Xiaoyan Cui ◽  
...  

Abstract Long non-coding RNA (lncRNA) FYVE, RhoGEF and PH domain containing 5 antisense RNA 1 (FGD5-AS1) has been reported as an oncogene in colorectal cancer, promoting its tumorgenesis. The present paper focused on searching the potential function of FGD5-AS1 in non-small cell lung carcinoma (NSCLC). There are connections between the expression of lncRNA FGD5-AS1 and human NSCLC tumor growth and progression. Also, the relationships between FGD5-AS1, hsa-miR-107 and mRNA fibroblast growth factor receptor like 1 (FGFRL1) are going to test their interaction in NSCLC cell lines, which may cause a series of biological behaviors of NSCLC cells. qRT-PCR analysis was conducted to test the expression of RNAs in different situation. CCK-8 experiment and clone formation assay were performed to assess proliferation of NSCLC cells. Also, connection between FGD5-AS1 and hsa-miR-107 were investigated by luciferase reporter assay and RNA pull-down assay. Rescue experiments were performed to verify the modulating relationship between FGD5-AS1, hsa-miR-107 and FGFRL1. High-level expression of FGD5-AS1 was found in NSCLC. FGD5-AS1 may promote the proliferation of NSCLC cells. Also, the combination between hsa-miR-107, FGD5-AS1 and NSCLC have been proved, which means they can play an interaction function in NSCLC cells. Thence, we concluded that lncRNA FGD5-AS1 promotes non-small cell lung cancer cell proliferation through sponging hsa-miR-107 to up-regulate FGFRL1.


Cell Cycle ◽  
2018 ◽  
Vol 17 (10) ◽  
pp. 1188-1198 ◽  
Author(s):  
Yuheng Tian ◽  
Nali Zhang ◽  
Shuwen Chen ◽  
Yuan Ma ◽  
Yanyan Liu

2018 ◽  
Vol 75 (24) ◽  
pp. 4667-4681 ◽  
Author(s):  
Juan He ◽  
Ke Wu ◽  
Chenglin Guo ◽  
Jian-Kang Zhou ◽  
Wenchen Pu ◽  
...  

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