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29 April 2026 : Database Analysis  

Telomerase-Associated Genes as Prognostic Markers in High-Grade Serous Ovarian Cancer

Xiaohua Wang ORCID logo ABCEG 1, Shuyu Han ORCID logo CDF 1, Xi Wang BC 1, Yanwei Guo ORCID logo ACDEF 2*

DOI: 10.12659/MSM.951804

Med Sci Monit 2026; 32:e951804

Figure 2 Depicts pseudotime trajectory analysis of telomerase-associated active cell populations. (A) Identification of telomerase-associated active cells, the t-distributed Stochastic Neighborhood Embedding (t-SNE) colorimetry chart shows a score of cell activity, with brighter colors representing higher activity. (B) The trajectory plot in pseudotime, the darker the color, the closer it is to the default starting point, and the lighter the color is, the farther it is from the starting point of the pseudotimeline. (C) The trajectory plot of 12 clusters using monocle analysis. (D) Pseudotime trajectory divided into 3 distinct states by Monocle2. (E) Stacked bar plot displaying the distribution of cell types in different states. (F) Heatmap showing differentially expressed genes (DEGs) across different branches. Gene Ontology (GO) pathways significantly enriched in different gene clusters are displayed on the left side of the heatmap.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750