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. 2022 Feb 7;76:103866. doi: 10.1016/j.ebiom.2022.103866

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© 2022 The Author(s)

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

PMC Copyright notice

The computational framework for identifying tumour immune infiltration-associated snoRNAs (TIIsno) signature and developing a TIIsno score model. (1) For each immune cell line, all the snoRNAs (expression level >0) were obtained as candidate immune-related snoRNAs. (2) Immune-related house-keeping snoRNAs (ihk-sno) were identified based on tissue specific index (TSI). (3) Those ihk-sno which are upregulated in immune cell lines and downregulated in colon cancer cell lines were selected as TIIsno. (4) A prognostic analysis by focusing on TIIsno and the overall survival time was performed via random survival forest. A TIIsno score model was developed according to the results of random survival forest. (5) The influence of the TIIsno on the prognosis and immunotherapy in colon cancer was comprehensively investigated.