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. 2020 Nov 23;18:442. doi: 10.1186/s12967-020-02522-6

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© The Author(s) 2020

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. 1 — Identification and construction of the immune-related lncRNAs prognostic model by univariate Cox regression and Lasso regression analysis. a Forest plot of 15 candidate immune-related lncRNAs selected by univariate Cox regression analysis associated with breast cancer survival in the training set. b LASSO coefficient profiles of the 15 candidates in the training set. c A coefficient profile plot was generated against the log (lambda) sequence. Selection of the optimal parameter (lambda) in the LASSO model. d Forest plot of 8 candidate immune-related lncRNAs Selected by LASSO regression analysis associated with breast cancer survival and construction prognostic model