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. 2022 Aug 18;12:975255. doi: 10.3389/fonc.2022.975255

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Copyright © 2022 Song, Chi, Peng, Song, Cui, Zhu, Chen, Wu, Liu, Dong, Wang, Xu, Yu and Song

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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Development and validation of coagulation-related genes predictive signature. (A) Intersection of DEGs and Prognostic genes depicted via Venn diagram. (B) Univariate Cox regression analysis of predictive DEGs related to SKCM survival presented as a forest map. (C) LASSO regression of 9 coagulation-related genes. (D) Cross-validation for tweaking the parameter in the LASSO regression. (E) The corresponding coefficients for 7 candidate genes. (F) Univariate Cox regression analysis of 7 candidate genes related to SKCM survival presented as a forest map.