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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. 6 — Tumor classification based on the identified prognostic LLPS-associated genes. A Stratification of 447 melanoma patients into two clusters according to the consensus clustering matrix (k = 2). B Heatmap and the clinicopathologic characteristics of the two clusters. C Kaplan–Meier curves showed the OS of cluster 1(blue) and cluster 2 (yellow) for melanoma patients. Cluster 2 had a worse prognosis than cluster 1 (P < 0.001). D The PCA plot between two clusters. E The t-SNE plot between two clusters. F Nomogram for the prediction of 1-, 3-, and 5-year survival probability in patients with melanoma. G The calibration plots test consistency between the actual OS rates and the predicted survival rates, with the 45°line representing the best prediction. Note: *** P ≤ 0.001. ** P ≤ 0.01. * P ≤ 0.05