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Fig. 2. Meta-analysis of RUNX1 alterations and prognostic value in the TCGA PanCancer atlas. (A) Frequency of RUNX1 genomic alterations across the TCGA PanCancer atlas. Cancers with no alterations were excluded. Cancers affecting the hematopoietic system are colored in pink, hormone related cancers in blue, cancers of soft tissues in green, and other epithelial cancers in grey. (B) Proportion of RUNX1 amplification, homozygous deletion, fusion and mutation in cancers affecting the hematopoietic system, hormone related cancers, and additional epithelial cancers. Soft tissue cancers were excluded from these analyses due to the small number of patients affected. (C) Prognostic value of RUNX1 mRNA expression using the TCGA PanCancer Atlas expression data, in terms of Disease-Free Survival. Datasets of the TCGA PanCancer Atlas were downloaded from cBioPortal (https://www.cbioportal.org/). Briefly, patients were split in RUNX1-High and RUNX1-Low groups using the “surv_cutpoint” function of the “survminer” R package (“minprop” argument set to 0.1). Cancers were then separated into two groups, depending on whether RUNX1-High and RUNX1-Low groups are significantly associated with a better prognosis (P value < 0.05 using the univariate log-rank test). Representative examples of the corresponding Kaplan–Meier curves are shown for the Invasive Breast Carcinoma and Cervical Adenocarcinoma datasets (defined by the “Cancer Type” column of the TCGA PanCancer Atlas clinical data).
Mol. Cells 2020;43:126~138 https://doi.org/10.14348/molcells.2019.0301
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