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Prognostic value of immune related genes in lung adenocarcinoma

  • Authors:
    • Han Wang
    • Meng-Sen Wang
    • Ying Wang
    • Yue-Qing Huang
    • Jian-Ping Shi
    • Zhi-Liang Ding
    • Wen-Jie Wang
  • View Affiliations / Copyright

    Affiliations: Department of Oncology, Jining Cancer Hospital, Jining, Shandong 272011, P.R. China, Department of Oncology, Jining First People's Hospital, Jining, Shandong 272011, P.R. China, Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, P.R. China, Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, P.R. China, Department of Radio‑Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, P.R. China, Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu 215001, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 259
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    Published online on: September 18, 2020
       https://doi.org/10.3892/ol.2020.12122
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Abstract

Lung cancer has the highest incidence and mortality rates of all cancers in China. Immune‑related genes and immune infiltrating lymphocytes are involved in tumor growth, and in the past decade, immunotherapy has become increasingly important in the treatment of lung cancer. Using the edgeR package, differentially expressed genes and immune‑related genes (DEIRGs) were identified in patients with lung adenocarcinoma (LUAD). Functional enrichment analysis of DEIRGs was performed using Gene Ontology annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Survival‑associated immune‑related genes (IRGs) were selected using univariate Cox regression analysis and the prognostic model was assessed using multivariate Cox regression analysis. Overall, 273 DEIRGs were identified in LUAD, and KEGG pathway analysis of IRGs showed that ‘cytokine‑cytokine receptor interaction’ was the most significantly enriched pathway. Furthermore, six survival associated IRGs were screened to establish a prognostic model; patients in the high risk score group had less favorable survival times, and the prognostic model was negatively associated with B cell infiltration. The present study established a prognostic model using analysis of survival‑related immune‑related genes, which were associated with B cell infiltration.
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Copy and paste a formatted citation
Spandidos Publications style
Wang H, Wang M, Wang Y, Huang Y, Shi J, Ding Z and Wang W: Prognostic value of immune related genes in lung adenocarcinoma. Oncol Lett 20: 259, 2020.
APA
Wang, H., Wang, M., Wang, Y., Huang, Y., Shi, J., Ding, Z., & Wang, W. (2020). Prognostic value of immune related genes in lung adenocarcinoma. Oncology Letters, 20, 259. https://doi.org/10.3892/ol.2020.12122
MLA
Wang, H., Wang, M., Wang, Y., Huang, Y., Shi, J., Ding, Z., Wang, W."Prognostic value of immune related genes in lung adenocarcinoma". Oncology Letters 20.5 (2020): 259.
Chicago
Wang, H., Wang, M., Wang, Y., Huang, Y., Shi, J., Ding, Z., Wang, W."Prognostic value of immune related genes in lung adenocarcinoma". Oncology Letters 20, no. 5 (2020): 259. https://doi.org/10.3892/ol.2020.12122
Copy and paste a formatted citation
x
Spandidos Publications style
Wang H, Wang M, Wang Y, Huang Y, Shi J, Ding Z and Wang W: Prognostic value of immune related genes in lung adenocarcinoma. Oncol Lett 20: 259, 2020.
APA
Wang, H., Wang, M., Wang, Y., Huang, Y., Shi, J., Ding, Z., & Wang, W. (2020). Prognostic value of immune related genes in lung adenocarcinoma. Oncology Letters, 20, 259. https://doi.org/10.3892/ol.2020.12122
MLA
Wang, H., Wang, M., Wang, Y., Huang, Y., Shi, J., Ding, Z., Wang, W."Prognostic value of immune related genes in lung adenocarcinoma". Oncology Letters 20.5 (2020): 259.
Chicago
Wang, H., Wang, M., Wang, Y., Huang, Y., Shi, J., Ding, Z., Wang, W."Prognostic value of immune related genes in lung adenocarcinoma". Oncology Letters 20, no. 5 (2020): 259. https://doi.org/10.3892/ol.2020.12122
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