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. 2021 Nov 13;12(11):1082. doi: 10.1038/s41419-021-04358-4

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© The Author(s) 2021

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — A, B Kaplan–Meier curves for Cluster1 and Cluster2 based on TCGA OC cohort (A) and GEO OC meta data sets (B). C GSVA analysis of two clusters. D, E Waterfall chart illustration of top 40 mutated genes in the two clusters in OC. A limited number of mutations were in Cluster1 (D); more mutations existed in Cluster 2 (E). F Heatmap representation of immune molecules in four classes in TCGA OC cohort. G, H Kaplan–Meier curves for patients with four distinct phenotypes in TCGA OC cohort (Log-rank p = 0.0037, G) and GEO OC meta data sets (Log-rank p < 0.0001, H). I–L Boxplot illustrated the expression of PAX8 (I, K) and PEG10 (J, L) in four phenotypes based on TCGA OC cohort and GEO OC meta data sets. M Ratio of clinical response (CR/PR and PD/SD) to anti-PDL1 immunotherapy in four immune phenotypes based on IMvigor210 cohort. N Pseudotime of four phenotypes in TCGA OC cohort inferred by Monocle2. Each point corresponds to one OC sample. Phenotype information is shown.