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. 2021 Nov 19;36(1):e24135. doi: 10.1002/jcla.24135

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© 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

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Construction of the prognostic model based on liquid‐liquid phase separation (LLPS)‐related genes. (A) The volcano plot showing the different expression of LLPS‐related genes between lung squamous cell carcinoma (LUSC) and normal lung tissue. (B) The coefficient profiles of the 7 LLPS‐related genes selected by the least absolute shrinkage and selection operator (LASSO) Cox regression analysis. (C) Selection of the optimal parameter in the LASSO Cox regression analysis with 10‐fold cross‐validation. (D) The 7 LLPS‐related genes constituting the prediction model in the discovery set