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. 2023 May 1;23:388. doi: 10.1186/s12885-023-10847-w

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© The Author(s) 2023

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. 2 — Construction of LLPS-related genes prognostic signature. A, B The optimal parameters were selected in the LASSO Cox regression analysis using tenfold cross-validation. C Multivariate Cox regression analysis demonstrated that six LLPS-related genes were independent prognostic factors for melanoma patients. D-I Survival analysis of six candidate genes. Poor prognosis was associated with low MLKL, RNF114, and PSME1, while high expression of PARVA, PKP1 and TROAP led to worse clinical outcomes. Note: *** P ≤ 0.001. ** P ≤ 0.01. * P ≤ 0.05