KDM1A Identified as a Potential Oncogenic Driver and Prognostic Biomarker via Multi-Omics Analysis

Figure 2

KDM1A mutations in different tumors according to the TCGA data. (a) The alteration frequency of KDM1A with mutation type using the cBioPortal tool. (b) KDM1A mutation site and corresponding diseases of the highest number of cases are displayed. (c) The top three mutation sites including R321C/H, E477K, and R591/L showed in the 3D structure of KDM1A. (d) Mutation status of KDM1A was relevant to the OS, PFS, DSS, and DFS of breast cancer analyzed by the cBioPortal tool. (e) Breast cancer samples with KDM1A mutation were identified from the TCGA Invasive Breast Carcinoma data set.

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