Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network
Long non-coding RNAs (lncRNAs) act as a member of competing endogenous RNAs (ceRNAs) and plays a significant role in tumorigenesis. The aim of this study was to identify potential lncRNA biomarkers for predicting the prognosis of lung squamous cell carcinoma (LUSC) using a comprehensive analysis of...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2019-12-01
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| Series: | Artificial Cells, Nanomedicine, and Biotechnology |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21691401.2019.1647225 |
| _version_ | 1817981447075528704 |
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| author | Rui Li Yi-E Yang Jia Jin Meng-Yu Zhang Xiao Liu Xiao-Xia Liu Yun-Hong Yin Yi-Qing Qu |
| author_facet | Rui Li Yi-E Yang Jia Jin Meng-Yu Zhang Xiao Liu Xiao-Xia Liu Yun-Hong Yin Yi-Qing Qu |
| author_sort | Rui Li |
| collection | DOAJ |
| description | Long non-coding RNAs (lncRNAs) act as a member of competing endogenous RNAs (ceRNAs) and plays a significant role in tumorigenesis. The aim of this study was to identify potential lncRNA biomarkers for predicting the prognosis of lung squamous cell carcinoma (LUSC) using a comprehensive analysis of lncRNA mediated ceRNA network. Differentially expressed RNAs datasets were obtained using edge R package in 502 LUSC tissues and 49 adjacent non-LUSC tissues from the Cancer Genome Atlas (TCGA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to identify functional enrichment implication of lncRNA related differentially expressed mRNAs. Survival analysis was used Kaplan-Meier curve method. Univariate and multivariate Cox regression analysis were performed to construct a predictive model with lncRNA biomarkers. A total of 2185 lncRNAs, 170 miRNAs and 2053 mRNAs were differentially expressed between LUSC tissues and adjacent non-LUSC tissues. The novel constructed ceRNA network incorporated 184 LUSC-specific lncRNAs, 18 miRNAs, and 49 mRNAs. About 11 of 184 differentially expressed lncRNAs and 1 of 18 differentially expressed miRNAs and 5 of 49 differentially expressed mRNAs were conspicuously related to overall survival (p < .05). Univariate and multivariate cox regression analysis showed that 6 lncRNAs were retrieved to construct a predictive model to predict the overall survival in LUSC patients. In conclusion, CeRNAs contributed to the progression of LUSC and a model with 6 lncRNAs might be potential biomarker for predicting the prognosis of LUSC. |
| first_indexed | 2024-04-13T23:07:07Z |
| format | Article |
| id | doaj.art-3096b4511c5c463697b743f45a055d49 |
| institution | Directory Open Access Journal |
| issn | 2169-1401 2169-141X |
| language | English |
| last_indexed | 2024-04-13T23:07:07Z |
| publishDate | 2019-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Artificial Cells, Nanomedicine, and Biotechnology |
| spelling | doaj.art-3096b4511c5c463697b743f45a055d492022-12-22T02:25:40ZengTaylor & Francis GroupArtificial Cells, Nanomedicine, and Biotechnology2169-14012169-141X2019-12-014713246325810.1080/21691401.2019.1647225Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA networkRui Li0Yi-E Yang1Jia Jin2Meng-Yu Zhang3Xiao Liu4Xiao-Xia Liu5Yun-Hong Yin6Yi-Qing Qu7Department of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, People’s Republic of ChinaDepartment of Clinical Laboratory, Qianfoshan Hospital of Shandong Province, Jinan, People’s Republic of ChinaDepartment of Cardiology, Zhangqiu District People’s Hospital of Jinan, Shandong, ChinaDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, People’s Republic of ChinaDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, People’s Republic of ChinaDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, People’s Republic of ChinaDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, People’s Republic of ChinaDepartment of Respiratory and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, People’s Republic of ChinaLong non-coding RNAs (lncRNAs) act as a member of competing endogenous RNAs (ceRNAs) and plays a significant role in tumorigenesis. The aim of this study was to identify potential lncRNA biomarkers for predicting the prognosis of lung squamous cell carcinoma (LUSC) using a comprehensive analysis of lncRNA mediated ceRNA network. Differentially expressed RNAs datasets were obtained using edge R package in 502 LUSC tissues and 49 adjacent non-LUSC tissues from the Cancer Genome Atlas (TCGA). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed to identify functional enrichment implication of lncRNA related differentially expressed mRNAs. Survival analysis was used Kaplan-Meier curve method. Univariate and multivariate Cox regression analysis were performed to construct a predictive model with lncRNA biomarkers. A total of 2185 lncRNAs, 170 miRNAs and 2053 mRNAs were differentially expressed between LUSC tissues and adjacent non-LUSC tissues. The novel constructed ceRNA network incorporated 184 LUSC-specific lncRNAs, 18 miRNAs, and 49 mRNAs. About 11 of 184 differentially expressed lncRNAs and 1 of 18 differentially expressed miRNAs and 5 of 49 differentially expressed mRNAs were conspicuously related to overall survival (p < .05). Univariate and multivariate cox regression analysis showed that 6 lncRNAs were retrieved to construct a predictive model to predict the overall survival in LUSC patients. In conclusion, CeRNAs contributed to the progression of LUSC and a model with 6 lncRNAs might be potential biomarker for predicting the prognosis of LUSC.https://www.tandfonline.com/doi/10.1080/21691401.2019.1647225Competing endogenous RNA6-lncRNA signaturelung squamous cell carcinomabiomarker |
| spellingShingle | Rui Li Yi-E Yang Jia Jin Meng-Yu Zhang Xiao Liu Xiao-Xia Liu Yun-Hong Yin Yi-Qing Qu Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network Artificial Cells, Nanomedicine, and Biotechnology Competing endogenous RNA 6-lncRNA signature lung squamous cell carcinoma biomarker |
| title | Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network |
| title_full | Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network |
| title_fullStr | Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network |
| title_full_unstemmed | Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network |
| title_short | Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network |
| title_sort | identification of lncrna biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncrna mediated cerna network |
| topic | Competing endogenous RNA 6-lncRNA signature lung squamous cell carcinoma biomarker |
| url | https://www.tandfonline.com/doi/10.1080/21691401.2019.1647225 |
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