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. 2022 Apr 13;9:838654. doi: 10.3389/fmolb.2022.838654

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Copyright © 2022 Xia, Wang, Su, Lv, Yan, Guo and Liu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Establishment of the “E2F target” risk score. (A–B) WGCNA showed that the gene in MEblack had the highest correlation with the activation of the “E2F target” pathway. (C) The heat map showed the top part of DEGs between the prostate tumor and normal prostate tissue. (D) Prognostic genes with statistical significance were screened by univariate Cox regression analysis. (E) The Venn diagram showed 47 prognostic differential genes obtained after the intersection of DEGs and prognostic genes. (F–G) LASSO Cox regression was used to establish the signature; the best log(λ) value was -3.5, and 4 indicators remained. (H) The LASSO coefficients of the 4 genes in the signature.