Long non-coding RNAs RP5-821D11.7, APCDD1L-AS1 and RP11-277P12.9 were associated with the prognosis of lung squamous cell carcinoma

Luo,Yanzhuo; Xuan,Zhaobo; Zhu,Xiaofeng; Zhan,Peng; Wang,Zhou

doi:10.3892/mmr.2018.8770

Long non-coding RNAs RP5-821D11.7, APCDD1L-AS1 and RP11-277P12.9 were associated with the prognosis of lung squamous cell carcinoma

Authors:
- Yanzhuo Luo
- Zhaobo Xuan
- Xiaofeng Zhu
- Peng Zhan
- Zhou Wang
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Affiliations: Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, P.R. China, Department of Neurosurgery, The First Hospital Affiliated to Jiamusi University, Jiamusi, Heilongjiang 154002, P.R. China, Department of Thoracic Surgery, The First Hospital Affiliated to Jiamusi University, Jiamusi, Heilongjiang 154002, P.R. China
Published online on: March 16, 2018 https://doi.org/10.3892/mmr.2018.8770
Pages: 7238-7248
Copyright: © Luo et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Lung squamous cell carcinoma (LUSC), a type of non-small cell lung carcinoma, has a poor therapeutic response, high relapse rate and poor prognosis. The present study was designed to reveal the key long non‑coding RNAs (lncRNAs) associated with the prognosis of LUSC. The lncRNA expression profiles of LUSC and adjacent samples were downloaded from The Cancer Genome Atlas database. Based on the edgeR and DEseq packages, the differentially expressed lncRNAs (DELs) between LUSC and adjacent samples were obtained and the intersecting DELs were regarded as significant DELs. Subsequently, a prognostic risk model was established using Cox regression analysis and its classification effect was detected by survival analysis. Using survival analysis, the effect of the prognostic risk model was assessed in the validation set and other types of cancer. Finally, the co‑expression genes of key lncRNAs were screened using the Multi‑Experiment Matrix tool and the STRING database, and their functions were predicted via enrichment analysis using the Database for Annotation, Visualization and Integrated Discovery tool. A total of 2,041 significant DELs between LUSC and adjacent samples were screened. The prognostic risk model consisting of RP5‑821D11.7, APCDD1L‑AS1 and RP11‑277P12.9 was established, which had a good classification effect. Cox multivariate regression analysis demonstrated that risk score may serve as an independent prognostic factor. Furthermore, certain co‑expression genes of RP5‑821D11.7 (including proliferating cell nuclear antigen), APCDD1L‑AS1 (including semaphorin 5A, semaphorin 6D, ADAMTS like 1, ADAM metallopeptidase with thrombospondin type 1 motif 6, slit guidance ligand 3, and tenascin C) and RP11‑277P12.9 (including Wnt family member 2B) were identified. Additionally, ‘positive regulation of cell migration’ and ‘proteinaceous extracellular matrix’ were enriched. In conclusion, the expression levels of the lncRNAs RP5‑821D11.7, APCDD1L‑AS1 and RP11‑277P12.9 may affect the prognosis of LUSC.

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