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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.
In cancer, long noncoding RNAs (lncRNAs) can regulate immune-related pathways. Here, the authors present ImmLnc, an algorithm that can help prioritise immune-related lncRNAs in cancer immunotherapy research
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1 Harbin Medical University, College of Bioinformatics Science and Technology, Harbin, China (GRID:grid.410736.7) (ISNI:0000 0001 2204 9268); Hainan Medical University, Key Laboratory of Tropical Translational Medicine of Ministry of Education, Haikou, China (GRID:grid.443397.e) (ISNI:0000 0004 0368 7493); Hainan Medical University, College of Biomedical Information and Engineering, Haikou, China (GRID:grid.443397.e) (ISNI:0000 0004 0368 7493)
2 Harbin Medical University, College of Bioinformatics Science and Technology, Harbin, China (GRID:grid.410736.7) (ISNI:0000 0001 2204 9268)