Systematic Profiling of Alternative Splicing for Sarcoma Patients Reveals Novel Prognostic Biomarkers Associated with Tumor Microenvironment and Immune Cells

Chuan Hu; Yuanhe Wang; Chuan Liu; Rui Shen; Bo Chen; Kang Sun; Huili Rao; Lin Ye; Jianjun Ye; Shaoqi Tian

doi:10.12659/MSM.924126

19 July 2020 : Database Analysis

Systematic Profiling of Alternative Splicing for Sarcoma Patients Reveals Novel Prognostic Biomarkers Associated with Tumor Microenvironment and Immune Cells

Chuan Hu^1ABCEF*, Yuanhe Wang^1ABC, Chuan Liu^2DEF, Rui Shen^1DE, Bo Chen^3F, Kang Sun^1B, Huili Rao^4C, Lin Ye^3E, Jianjun Ye^3C, Shaoqi Tian^1ABCDEF

DOI: 10.12659/MSM.924126

Med Sci Monit 2020; 26:e924126

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Figure 9 AS-based clusters significantly associated with prognosis, immune microenvironment scores, and immune cells. (A–C) Unsupervised clustering analysis based on the overlapping prognostic AS events identified 3 clusters. (D) Kaplan-Meier survival curve showing the OS probability over time for 3 clusters. (E) Kaplan-Meier survival curve showing the DFS probability over time for 3 clusters. (F) Heat map showing the distribution of 22 immune cells between 3 clusters. (G–I) The immune score, stromal score, and estimate score between AS-based clusters. AS – alternative splicing; OS – overall survival; DFS – disease-free survival.

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Systematic Profiling of Alternative Splicing for Sarcoma Patients Reveals Novel Prognostic Biomarkers Associated with Tumor Microenvironment and Immune Cells

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