scholarly journals Five genes may predict metastasis in non‑small cell lung cancer using bioinformatics analysis

2019 ◽  
Author(s):  
Ruiying Sun ◽  
Xia Meng ◽  
Wei Wang ◽  
Boxuan Liu ◽  
Xin Lv ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Bioinformatics Analysis ◽  
Small Cell ◽  
Small Cell Lung

Comparative Proteomics and Bioinformatics Analysis of Tissue from Non-Small Cell Lung Cancer Patients

2017 ◽  
Vol 14 (1) ◽  
pp. 58-77
Author(s):  
Sevgi Gezici ◽  
Mehmet Ozaslan ◽  
Gurler Akpinar ◽  
Murat Kasap ◽  
Maruf Sanli ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Bioinformatics Analysis ◽  
Comparative Proteomics ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Cancer Patients

scholarly journals HAGLROS is overexpressed and promotes non-small cell lung cancer migration and invasion

2020 ◽  
Vol 50 (9) ◽  
pp. 1058-1067 ◽  
Author(s):  
Ying Chen ◽  
Tianle Shen ◽  
Xuping Ding ◽  
Lei Cheng ◽  
Liming Sheng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Small Cell Lung Cancer ◽  
Survival Time ◽  
Cell Lung Cancer ◽  
Bioinformatics Analysis ◽  
Small Cell ◽  
Migration And Invasion ◽  
Small Cell Lung ◽  
Normal Tissues

Abstract Introduction Non-small cell lung cancer was one of the most common and deadly cancers worldwide. Long non-coding RNAs had been implicated in multiple human cancers, including non-small cell lung cancer. In this study, we focused on a novel long non-coding RNA, HAGLROS, in non-small cell lung cancer. Material and methods In this study, we used GEPIA dataset to analyse the expression levels of HAGLROS in non-small cell lung cancer samples and normal tissues. Then, we analysed Kaplan–Meier Plotter database to reveal the association between HAGLROS expression and overall survival time in patients with non-small cell lung cancer. Moreover, we used small interfering RNA-mediated knockdown to reduce HAGLROS expression in A549 and H1299 cells. Cell Counting Kit-8 assay was used to detect the effect of HAGLROS on cell proliferation. Transwell assays were used to determine the effect of HAGLROS on cell migration and invasion. Co-expression analysis and bioinformatics analysis were conducted to predict the potential functions of HAGLROS in non-small cell lung cancer. Results We identified HAGLROS was significantly overexpressed in non-small cell lung cancer samples compared to normal tissues. Higher expression of HAGLROS was significantly associated with shorter overall survival time in patients with non-small cell lung cancer. Moreover, we found knockdown of HAGLROS in non-small cell lung cancer cells remarkably suppressed tumour proliferation, migration and invasion. By conducting bioinformatics analysis, we found HAGLROS was involved in regulating multiple cancer-related pathways, including Spliceosome, DNA replication, cell cycle, chromosome segregation and sister chromatid segregation. Conclusions Our results for the first time demonstrated HAGLROS may serve as a target for new therapies in non-small cell lung cancer.

Bioinformatics Analysis of HKDC1 Expression in Non-small Cell Lung Cancer and Its Relationship to Survival

2020 ◽  
Vol 5 (1) ◽  
pp. 31-39
Author(s):  
Lei Wang ◽  
Wei Yuan Li ◽  
Fang Fang Li ◽  
Chun Yan Yang ◽  
Deng Cai Mu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Bioinformatics Analysis ◽  
Small Cell ◽  
Small Cell Lung

scholarly journals lncRNA MRUL Suppressed Non-Small Cell Lung Cancer Cells Proliferation and Invasion by Targeting miR-17-5p/SRSF2 Axis

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Ying Chen ◽  
Tianle Shen ◽  
Xuping Ding ◽  
Cui Ma ◽  
Lei Cheng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Rna Splicing ◽  
Bioinformatics Analysis ◽  
Small Cell ◽  
Small Cell Lung ◽  
Splice Site Selection ◽  
Invasion And Migration ◽  
And Migration

The two broad histological subtypes of lung cancer are small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), which are the leading causes of cancer-related death in the world. Long noncoding RNAs (lncRNAs) have been verified to be critical in the regulation of cancer development. The present study identified and elucidated the regulatory roles of a novel lncRNA MRUL in NSCLC. The results showed that MRUL was overexpressed in NSCLC samples and correlated with the poor prognosis of patients who had NSCLC. Moreover, this research has for the first time demonstrated that MRUL acted as an oncogenetic lncRNA in NSCLC. Knockdown of MRUL considerably repressed NSCLC cell proliferation, invasion, and migration. The bioinformatics analysis showed that MRUL was involved in regulating multiple RNA splicing and proliferation-related biological processes, such as mRNA splicing, RNA splicing, mRNA processing, mRNA 3 ′ -end processing, mRNA splice site selection, and DNA replication. By combining bioinformatics analysis and experimental validation, we found that MRUL regulated NSCLC progression through promoting SRSF2 by sponging miR-17 in NSCLC cells. The discoveries indicated that MRUL could be a therapeutic target and a potential diagnostic for NSCLC.

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