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Pan-cancer characterization of immune-related lncRNAs identifies potential oncogenic biomarkers

Author

Listed:
  • Yongsheng Li

    (Harbin Medical University
    Hainan Medical University
    Hainan Medical University)

  • Tiantongfei Jiang

    (Harbin Medical University)

  • Weiwei Zhou

    (Harbin Medical University)

  • Junyi Li

    (Harbin Medical University)

  • Xinhui Li

    (Harbin Medical University)

  • Qi Wang

    (Harbin Medical University)

  • Xiaoyan Jin

    (Harbin Medical University)

  • Jiaqi Yin

    (Harbin Medical University)

  • Liuxin Chen

    (Harbin Medical University)

  • Yunpeng Zhang

    (Harbin Medical University)

  • Juan Xu

    (Harbin Medical University
    Hainan Medical University
    Hainan Medical University)

  • Xia Li

    (Harbin Medical University
    Hainan Medical University
    Hainan Medical University)

Abstract

Long noncoding RNAs (lncRNAs) are emerging as critical regulators of gene expression and they play fundamental roles in immune regulation. Here we introduce an integrated algorithm, ImmLnc, for identifying lncRNA regulators of immune-related pathways. We comprehensively chart the landscape of lncRNA regulation in the immunome across 33 cancer types and show that cancers with similar tissue origin are likely to share lncRNA immune regulators. Moreover, the immune-related lncRNAs are likely to show expression perturbation in cancer and are significantly correlated with immune cell infiltration. ImmLnc can help prioritize cancer-related lncRNAs and further identify three molecular subtypes (proliferative, intermediate, and immunological) of non-small cell lung cancer. These subtypes are characterized by differences in mutation burden, immune cell infiltration, expression of immunomodulatory genes, response to chemotherapy, and prognosis. In summary, the ImmLnc pipeline and the resulting data serve as a valuable resource for understanding lncRNA function and to advance identification of immunotherapy targets.

Suggested Citation

  • Yongsheng Li & Tiantongfei Jiang & Weiwei Zhou & Junyi Li & Xinhui Li & Qi Wang & Xiaoyan Jin & Jiaqi Yin & Liuxin Chen & Yunpeng Zhang & Juan Xu & Xia Li, 2020. "Pan-cancer characterization of immune-related lncRNAs identifies potential oncogenic biomarkers," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14802-2
    DOI: 10.1038/s41467-020-14802-2
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    Cited by:

    1. Zaoqu Liu & Long Liu & Siyuan Weng & Chunguang Guo & Qin Dang & Hui Xu & Libo Wang & Taoyuan Lu & Yuyuan Zhang & Zhenqiang Sun & Xinwei Han, 2022. "Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

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