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Integrated analysis of competing endogenous RNA network revealing lncRNAs as potential prognostic biomarkers in human lung squamous cell carcinoma.
Oncotarget. 2017 Sep 12; 8(39):65997-66018.O

Abstract

Accumulating evidence shows the important role of long non-coding RNAs (lncRNAs) in competing endogenous RNA (ceRNA) networks for predicting survival in tumor patients. However, prognostic biomarkers for lung squamous cell carcinoma (LUSC) are still lacking. The objective of this study is to identify a lncRNA signature for evaluation of overall survival (OS) in 474 LUSC patients from The Cancer Genome Atlas (TCGA) database. A total of 474 RNA sequencing profiles in LUSC patients with clinical data were obtained, providing a large sample of RNA sequencing data, and 83 LUSC-specific lncRNAs, 26 miRNAs, and 85 mRNAs were identified to construct the ceRNA network (fold change>2, P<0.05). Among these above 83 LUSC-specific lncRNAs, 22 were assessed as closely related to OS in LUSC patients using a univariate Cox proportional regression model. Meanwhile, two (FMO6P and PRR26) of the above 22 OS-related lncRNAs were identified using a multivariate Cox regression model to construct a risk score as an independent indicator of the prognostic value of the lncRNA signature in LUSC patients. LUSC patients with low-risk scores were more positively correlated with OS (P<0.001). The present study provides a deeper understanding of the lncRNA-related ceRNA network in LUSC and suggests that the two-lncRNA signature could serve as an independent biomarker for prognosis of LUSC.

Authors+Show Affiliations

Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, P.R. China.Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, P.R. China.Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA.Department of Thoracic Surgery, Nanjing Chest Hospital, Nanjing, P.R. China.Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, P.R. China.Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, P.R. China.Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, P.R. China.Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, P.R. China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29029488

Citation

Sui, Jing, et al. "Integrated Analysis of Competing Endogenous RNA Network Revealing lncRNAs as Potential Prognostic Biomarkers in Human Lung Squamous Cell Carcinoma." Oncotarget, vol. 8, no. 39, 2017, pp. 65997-66018.
Sui J, Xu SY, Han J, et al. Integrated analysis of competing endogenous RNA network revealing lncRNAs as potential prognostic biomarkers in human lung squamous cell carcinoma. Oncotarget. 2017;8(39):65997-66018.
Sui, J., Xu, S. Y., Han, J., Yang, S. R., Li, C. Y., Yin, L. H., Pu, Y. P., & Liang, G. Y. (2017). Integrated analysis of competing endogenous RNA network revealing lncRNAs as potential prognostic biomarkers in human lung squamous cell carcinoma. Oncotarget, 8(39), 65997-66018. https://doi.org/10.18632/oncotarget.19627
Sui J, et al. Integrated Analysis of Competing Endogenous RNA Network Revealing lncRNAs as Potential Prognostic Biomarkers in Human Lung Squamous Cell Carcinoma. Oncotarget. 2017 Sep 12;8(39):65997-66018. PubMed PMID: 29029488.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Integrated analysis of competing endogenous RNA network revealing lncRNAs as potential prognostic biomarkers in human lung squamous cell carcinoma. AU - Sui,Jing, AU - Xu,Si-Yi, AU - Han,Jiali, AU - Yang,Song-Ru, AU - Li,Cheng-Yun, AU - Yin,Li-Hong, AU - Pu,Yue-Pu, AU - Liang,Ge-Yu, Y1 - 2017/07/27/ PY - 2017/05/23/received PY - 2017/06/28/accepted PY - 2017/10/15/entrez PY - 2017/10/17/pubmed PY - 2017/10/17/medline KW - LUSC KW - ceRNA network KW - lncRNA KW - prognostic biomarker SP - 65997 EP - 66018 JF - Oncotarget JO - Oncotarget VL - 8 IS - 39 N2 - Accumulating evidence shows the important role of long non-coding RNAs (lncRNAs) in competing endogenous RNA (ceRNA) networks for predicting survival in tumor patients. However, prognostic biomarkers for lung squamous cell carcinoma (LUSC) are still lacking. The objective of this study is to identify a lncRNA signature for evaluation of overall survival (OS) in 474 LUSC patients from The Cancer Genome Atlas (TCGA) database. A total of 474 RNA sequencing profiles in LUSC patients with clinical data were obtained, providing a large sample of RNA sequencing data, and 83 LUSC-specific lncRNAs, 26 miRNAs, and 85 mRNAs were identified to construct the ceRNA network (fold change>2, P<0.05). Among these above 83 LUSC-specific lncRNAs, 22 were assessed as closely related to OS in LUSC patients using a univariate Cox proportional regression model. Meanwhile, two (FMO6P and PRR26) of the above 22 OS-related lncRNAs were identified using a multivariate Cox regression model to construct a risk score as an independent indicator of the prognostic value of the lncRNA signature in LUSC patients. LUSC patients with low-risk scores were more positively correlated with OS (P<0.001). The present study provides a deeper understanding of the lncRNA-related ceRNA network in LUSC and suggests that the two-lncRNA signature could serve as an independent biomarker for prognosis of LUSC. SN - 1949-2553 UR - https://www.unboundmedicine.com/medline/citation/29029488/Integrated_analysis_of_competing_endogenous_RNA_network_revealing_lncRNAs_as_potential_prognostic_biomarkers_in_human_lung_squamous_cell_carcinoma_ L2 - http://www.impactjournals.com/oncotarget/misc/linkedout.php?pii=19627 DB - PRIME DP - Unbound Medicine ER -
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