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. 2023 Nov 1;25:132. doi: 10.1186/s13058-023-01688-3

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© The Author(s) 2023

Open Access This 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. 5 — Correlation of radiomics with lncRNAs. a Individual molecular subtype, pTNM stage and lncRNAs were associated with high and low recurrence risk according to the RDeepNet model. b Correlation matrix of the therapy-related radiomic features with lncRNAs. P values were calculated using the unadjusted log-rank test; rho values were calculated by Spearman rank correlation analysis. HER2, human epidermal growth factor receptor 2; LncRNAs, long non-coding RNAs; pTNM = pathological tumor–node–metastasis stage; T1 + C, contrast-enhanced T1-weighted imaging; T2WI, T2-weighted imaging