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. 2023 Dec 12;21:909. doi: 10.1186/s12967-023-04616-3

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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. 3 — Identification of SPOCK1 as a prognostic key gene within the key modules. A Venn plot of the intersection of differentially expressed genes (DEGs) that are abnormally upregulated in tumors and genes within the red and green modules. B Determination of the optimal lambda when the partial likelihood of deviance reaches a minimum. And LASSO coefficient of module candidate gene profiles. C Screening of the top 10 prognosis-related genes in terms of relative importance using the stochastic survival forest algorithm. D Intersection Venn plot of prognostic key genes. Hub genes’ correlation heatmap with (E) EMT score and (F) TIDE score. (***p < 0.001; **p < 0.01; *p < 0.05; ns. no significance)