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

Yongsheng Li (), Tiantongfei Jiang, Weiwei Zhou, Junyi Li, Xinhui Li, Qi Wang, Xiaoyan Jin, Jiaqi Yin, Liuxin Chen, Yunpeng Zhang, Juan Xu () and Xia Li ()
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Yongsheng Li: Harbin 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
Xia Li: Harbin Medical University

Nature Communications, 2020, vol. 11, issue 1, 1-13

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-14802-2

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