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. 2023 Jun 5;33:110–126. doi: 10.1016/j.omtn.2023.06.001

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© 2023 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 generation and prognostic value of CMLS

(A) Through a comprehensive computational framework, a combination of 99 machine learning algorithms was generated. The C-index of each model was calculated through the TCGA-MUC, IMvigor-MUC, and META-MUC cohorts and sorted by the average C-index of the validation set. (B) The hub gene selected through the CoxBoost algorithm. (C) The univariate Cox regression analysis results of hub genes in training and validation cohorts. (D–G) Survival analysis of MUC patients with high CMLS and low CMLS in the IMvigor-MUC, META-MUC, TCGA-MUC, and combined-MUC cohorts.