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The signature lncRNAs associated with the lung adenocarcinoma patients prognosis

  • Received: 09 May 2019 Accepted: 20 October 2019 Published: 09 December 2019
  • Long non-coding RNAs (lncRNAs) consist of over 200 nucleotides and are not translated into proteins. Previous studies have shown the importance of lncRNAs in the development of the lung adenocarcinoma (LUAD). Emergence of the high-throughput sequencing technology has led to the identification of a lot of lncRNAs which plays important roles in various biological events. Increasingly evidence has revealed that aberrant lncRNAs expression is related to the development of various cancers. We analyzed the RNA-seq data of 551 lung adenocarcinoma patients downloaded from The Cancer Genome Atlas (TCGA). By analyzing the pre-cancerous and cancer tissues of the relevant patient transcriptomes, we discovered the significant lncRNAs associated with the lung adenocarcinoma. Based on their median score, the prognosis of the patients was categorized as either poor or favorable. Univariate and multivariate COX analysis were used to further analyze the differential lncRNAs. Co-expression and gene enrichment analysis were performed to further investigate the function of the related lncRNA. RNA-seq data analysis led to the discovery of the lncRNA, OGFRP1 as an interesting factor involved in the lung adenocarcinoma. Therefore, lncRNAs play an important role in the clinical diagnosis and the treatment of the lung adenocarcinoma.

    Citation: Yong Ding, Jian-Hong Liu. The signature lncRNAs associated with the lung adenocarcinoma patients prognosis[J]. Mathematical Biosciences and Engineering, 2020, 17(2): 1593-1603. doi: 10.3934/mbe.2020083

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  • Long non-coding RNAs (lncRNAs) consist of over 200 nucleotides and are not translated into proteins. Previous studies have shown the importance of lncRNAs in the development of the lung adenocarcinoma (LUAD). Emergence of the high-throughput sequencing technology has led to the identification of a lot of lncRNAs which plays important roles in various biological events. Increasingly evidence has revealed that aberrant lncRNAs expression is related to the development of various cancers. We analyzed the RNA-seq data of 551 lung adenocarcinoma patients downloaded from The Cancer Genome Atlas (TCGA). By analyzing the pre-cancerous and cancer tissues of the relevant patient transcriptomes, we discovered the significant lncRNAs associated with the lung adenocarcinoma. Based on their median score, the prognosis of the patients was categorized as either poor or favorable. Univariate and multivariate COX analysis were used to further analyze the differential lncRNAs. Co-expression and gene enrichment analysis were performed to further investigate the function of the related lncRNA. RNA-seq data analysis led to the discovery of the lncRNA, OGFRP1 as an interesting factor involved in the lung adenocarcinoma. Therefore, lncRNAs play an important role in the clinical diagnosis and the treatment of the lung adenocarcinoma.


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    [1] F. Teng, X. Meng, L. Kong, J. Yu, Progress and challenges of predictive biomarkers of anti PD-1/PD-L1 immunotherapy: A systematic review, Cancer Lett., 414 (2018), 166-173.
    [2] L. Li, M. Peng, W. Xue, Z. Fan, T. Wang, J. Lian, et al., Integrated analysis of dysregulated long non-coding RNAs/microRNAs/mRNAs in metastasis of lung adenocarcinoma, J. Transl. Med., 16 (2018), 372.
    [3] Z. Cong, Y. Diao, Y. Xu, X. Li, Z. Jiang, C. Shao, et al., Long non-coding RNA linc00665 promotes lung adenocarcinoma progression and functions as ceRNA to regulate AKR1B10-ERK signaling by sponging miR-98, Cell Death Dis., 10 (2019), 84.
    [4] J. Sui, S. Yang, T. Liu, W. Wu, S. Xu, L. Yin, et al., Molecular characterization of lung adenocarcinoma: A potential four-long noncoding RNA prognostic signature, J. Cell. Biochem., 120 (2019), 705-714. doi: 10.1002/jcb.27428
    [5] P. Kumar, S. Khadirnaikar, S. K. Shukla, A novel LncRNA-based prognostic score reveals TP53-dependent subtype of lung adenocarcinoma with poor survival, J. Cell. Physiol., 234 (2019), 16021-16031.
    [6] D. Li, W. Yang, C. Arthur, J. S. Liu, C. Cruz-Niera, M. Q. Yang, Systems biology analysis reveals new insights into invasive lung cancer, BMC Syst. Biol., 12 (2018), 117.
    [7] X. Zhao, X. Li, L. Zhou, J. Ni, W. Yan, R. Ma, et al., LncRNA HOXA11-AS drives cisplatin resistance of human LUAD cells via modulating miR-454-3p/Stat3, Cancer Sci., 109 (2018), 3068-3079.
    [8] M. Qiu, Y. Xu, J. Wang, E. Zhang, M. Sun, Y. Zheng, et al., A novel lncRNA, LUADT1, promotes lung adenocarcinoma proliferation via the epigenetic suppression of p27, Cell Death Dis., 6 (2015), e1858.
    [9] X. Shi, H. Tan, X. Le, H. Xian, X. Li, K. Huang, et al., An expression signature model to predict lung adenocarcinoma-specific survival, Cancer Manag. Res., 10 (2018), 3717-3732.
    [10] D. Li, W. Yang, J. Zhang, J. Y. Yang, R. Guan, M. Q. Yang, Transcription factor and lncRNA regulatory networks identify key elements in lung adenocarcinoma, Genes, 9 (2018), 12.
    [11] S. Shukla, Unravelling the Long Non-Coding RNA Profile of Undifferentiated Large Cell Lung Carcinoma, Non-Coding RNA, 4 (2018), 4.
    [12] X. Li, B. Li, P. Ran, L. Wang, Identification of ceRNA network based on a RNA-seq shows prognostic lncRNA biomarkers in human lung adenocarcinoma, Oncol. Lett., 16 (2018), 5697-5708.
    [13] M. Qiu, D. Feng, H. Zhang, W. Xia, Y. Xu, J. Wang, et al., Comprehensive analysis of lncRNA expression profiles and identification of functional lncRNAs in lung adenocarcinoma, Oncotarget, 7 (2016), 16012-10622.
    [14] W. M. Zhao, G. Fang, Anillin Is a Substrate of Anaphase-promoting Complex/Cyclosome (APC/C) That Controls Spatial Contractility of Myosin during Late Cytokinesis, J. Biol. Chem., 280 (2005), 33516-33524.
    [15] T. Kiyomitsu, I. M. Cheeseman, Cortical Dynein and Asymmetric Membrane Elongation Coordinately Position the Spindle in Anaphase, Cell, 154 (2013), 391-402.
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