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. 2020 Oct 7;8(2):e001437. doi: 10.1136/jitc-2020-001437

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

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Construction of a microsatellite status–related gene signature by TCGA colon cancer dataset. (A) The volcano plot shows the DEGs between MSS and MSI-H. (B) The volcano plot shows the DEGs between MSI-L and MSI-H. (C) The Venn plot shows the total genes and overlapping genes from the volcano plots. (D) Gene ontology analysis by the total genes from the Venn plot. (E) The coefficient calculated by LASSO Cox regression. (F) Kaplan-Meier analysis showed that patients with colon cancer with a higher MSRS exhibited an unfavorable CSS in the TCGA cohort. (G) tROC analysis indicated a higher prediction efficacy of the MSRS than other clinicopathological traits.