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. 2021 Jan 12;19:22. doi: 10.1186/s12951-020-00767-3

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Establishment and performance comparison of CMCPI. Kaplan–Meier estimates of OS or DRFS of patients with low or high CMCPI scores in the discovery cohort (a), internal testing cohort (b) and GSE22220 cohort (c). HRs and 95% CIs for high vs. low miGISig score was estimated using the univariate Cox analysis. P values comparing risk groups were calculated with the log-rank test. The ROC analysis at five years of OS or DRFS for the CMCPI, miGISig, stage and age in the discovery cohort (d), internal testing cohort (e) and GSE22220 cohort (f). BC breast cancer, CIs confidence intervals, CMCPI composite miRNA-clinical prognostic indicator, DRFS Distant relapse-free survival, HRs Hazard ratios, OS overall survival