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. 2021 Aug 3;21:409. doi: 10.1186/s12935-021-02108-2

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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. 7 — A novel gene signature in predicting survival outcomes and its relationship with ACLY. A VST transformation of DEGs for further model establishment. B LASSO coefficient of 4559 candidates. C Partial likelihood deviance was computed for LASSO regression. D Correlation matrix revealed no multicollinearity among 7 candidate genes. E Forest plot demonstrated HR and p value of multivariate Cox model enrolled genes. F Time-dependent ROC curves of different time length for optimal observation time window. G Kaplan–Meier survival analysis between patients with high-risk scores and low risk scores. H Association of ACLY with the predictive signature in 40 kinds of solid tumors