Integrated Bioinformatic Analysis of a Competing Endogenous RNA Network Reveals a Prognostic Signature in Endometrial Cancer

Xia, Leilei; Wang, Ye; Qi, Meng; Su, Xiaoling; Shen, Jizi; Wang, Jing; He, Haiwei; Wen, Biwei; Zhang, Caihong; Xu, Man

doi:10.3389/fonc.2019.00448

Cited by 23 publications

(22 citation statements)

References 33 publications

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“…Increasing studies have shown that lncRNAs effectively predict overall survival (OS) in cancer patients [28,29]. To validate the association between the lncRNAs in the ceRNA network and OS of lung cancer, we randomly divided lung cancer patients into the training set (n = 387) and testing set (n = 386), and there was no significant difference in the clinical covariates between the two sets (P > 0.05) (Additional file 1: Table S5).…”

Section: Identification Of a Prognostic Signature Of Lung Cancermentioning

confidence: 99%

Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer

et al. 2020

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Background: Lung cancer is the most common cancer worldwide, and metastasis is the leading cause of lung cancer related death. However, the molecular network involved in lung cancer metastasis remains incompletely described. Here, we aimed to construct a metastasis-associated ceRNA network and identify a lncRNA prognostic signature in lung cancer. Methods: RNA expression profiles were downloaded from The Cancer Genome Atlas (TCGA) database. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and gene set enrichment analysis (GSEA) were performed to investigate the function of these genes. Using Cox regression analysis, we found that a 6 lncRNA signature may serve as a candidate prognostic factor in lung cancer. Finally, we used Transwell assays with lung cancer cell lines to verify that LINC01010 acts as a tumor suppressor. Results: We identified 1249 differentially expressed (DE) mRNAs, 440 DE lncRNAs and 26 DE miRNAs between nonmetastatic and metastatic lung cancer tissues. GO and KEGG analyses confirmed that the identified DE mRNAs are involved in lung cancer metastasis. Using bioinformatics tools, we constructed a metastasis-associated ceRNA network for lung cancer that includes 117 mRNAs, 23 lncRNAs and 22 miRNAs. We then identified a 6 lncRNA signature (LINC01287, SNAP25-AS1, LINC00470, AC104809.2, LINC00645 and LINC01010) that had the greatest prognostic value for lung cancer. Furthermore, we found that suppression of LINC01010 promoted lung cancer cell migration and invasion. Conclusions: This study might provide insight into the identification of potential lncRNA biomarkers for diagnosis and prognosis in lung cancer.

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Section: Identification Of a Prognostic Signature Of Lung Cancermentioning

confidence: 99%

Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer

et al. 2020

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“…Elevated LINC00483 expression positively correlated to shorter survival time, advanced TNM stage, larger tumors and positive lymph node metastasis. An integrated bioinformatics analysis showed that LINC00483 has prognostic power in endometrial carcinoma [21].…”

Section: Discussionmentioning

confidence: 99%

The long noncoding RNA LINC00483 promotes lung adenocarcinoma progression by sponging miR-204-3p

et al. 2019

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BackgroundThe expression of the long noncoding RNA LINC00483 is upregulated in lung adenocarcinoma (LUAD). However, its role in the progression of LUAD and the underlying mechanisms remain elusive.MethodsThe expressions of LINC00483 and miR-204-3p were determined using quantitative real-time PCR. The correlation between the clinicopathological characteristics of LUAD patients and LINC00483 expression was analyzed using Pearson’s χ2 test. A549 and PC-9 cells were transfected with small interfering RNA (siRNA) that specially targeting LINC00483 to assess the impact of its knockdown. Cell proliferation was assessed using the Cell Counting Kit-8 and clone forming assays. Cell migration and cell invasion were evaluated using a transwell assay. The levels of Snail, E-cadherin, N-cadherin and ETS1 proteins were determined via western blotting. The interaction between LINC00483 and miR-204-3p was analyzed using dual-luciferase, fluorescence in situ hybridization and RNA immunoprecipitation.ResultsLINC00483 was upregulated in LUAD tissues and cell lines. Higher LINC00483 levels closely correlated to shorter survival times, advanced TNM stage, larger tumor size and positive lymph node metastasis. Cell proliferation, migration and invasion were suppressed after LINC00483 knockdown. LINC00483 mainly localized in the cytoplasm, where it acted as a sponge of miR-204-3p. ETS1 was validated as a downstream target of miR-204-3p and is thus regulated by LINC00483.ConclusionThis study demonstrated that LINC00483 facilitates the proliferation, migration and invasion of LUAD cells by acting as a sponge for miR-204-3p, which in turn regulates ETS1.

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“…Increasing studies have shown that lncRNAs effectively predict overall survival (OS) in cancer patients [24,25]. To validate the association between the lncRNAs in the ceRNA network and OS of lung cancer, we randomly divided lung cancer patients into the training set (n = 387) and testing set (n = 386), and there was no significant difference in the clinical covariates between the two sets (P > 0.05) (Table S5).…”

Section: Identification Of a Prognostic Signature Of Lung Cancermentioning

confidence: 99%

Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer

Cao¹,

Dong²,

Liu³

et al. 2020

Preprint

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Background: Lung cancer is the most common cancer worldwide, and metastasis is the leading cause of lung cancer related death. However, the molecular network involved in lung cancer metastasis remains incompletely described. Here, we aimed to construct a metastasis-associated ceRNA network and identify a lncRNA prognostic signature in lung cancer.Methods: RNA expression profiles were downloaded from The Cancer Genome Atlas (TCGA) database. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and gene set enrichment analysis (GSEA) were performed to investigate the function of these genes. Using Cox regression analysis, we found that a 6 lncRNA signature may serve as a candidate prognostic factor in lung cancer. Finally, we used Transwell assays with lung cancer cell lines to verify that LINC01010 acts as a tumor suppressor.Results: We identified 1249 differentially expressed (DE) mRNAs, 440 DE lncRNAs and 26 DE miRNAs between nonmetastatic and metastatic lung cancer tissues. GO and KEGG analyses confirmed that the identified DE mRNAs are involved in lung cancer metastasis. Using bioinformatics tools, we constructed a metastasis-associated ceRNA network for lung cancer that includes 117 mRNAs, 23 lncRNAs and 22 miRNAs. We then identified a 6 lncRNA signature (LINC01287, SNAP25-AS1, LINC00470, AC104809.2, LINC00645 and LINC01010) that had the greatest prognostic value for lung cancer. Furthermore, we found that suppression of LINC01010 promoted lung cancer cell migration and invasion.Conclusions: This study might provide insight into the identification of potential lncRNA biomarkers for diagnosis and prognosis in lung cancer.

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Integrated Bioinformatic Analysis of a Competing Endogenous RNA Network Reveals a Prognostic Signature in Endometrial Cancer

Cited by 23 publications

References 33 publications

Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer

Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer

The long noncoding RNA LINC00483 promotes lung adenocarcinoma progression by sponging miR-204-3p

Construction of a metastasis-associated ceRNA network reveals a prognostic signature in lung cancer

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