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Fig. 1 | BMC Cancer

Fig. 1

From: Altered expression of anti-apoptotic protein Api5 affects breast tumorigenesis

Fig. 1

Api5 transcript levels are up-regulated in breast cancer and is associated with poor patient survival. A Transcript expression data (log2) of Api5 obtained from the GENT2 database is plotted. Significantly higher expression of Api5 is observed in cancer samples than in normal. Statistical analysis was performed using the Mann–Whitney test. B API5 expression data downloaded from GENT2 was used to compare the expression across different subtypes in comparison to the adjacent normal. Statistical analysis was performed using the Kruskal–Wallis test followed by Dunn's post hoc test. C Kaplan Meier plot showing survival probability of breast cancer patients divided into high or low API5 expression (Median cut-off). Blackline indicate the survival probability of low API5 expressing patients, and red indicates high API5 expression. Significance test data is provided by the online tool. D API5 transcript level expression obtained from TCGA database and manually analysed using Graph Pad Prism and plotted. Expression of API5 across different molecular subtypes was compared to the adjacent normal sample. Transcript expression of API5 from TCGA database compared across (E) adjacent normal and tumour tissues, (F) different stages of breast cancer, and (G) receptor status-based subtypes. Statistical analysis was performed using the Kruskal–Wallis test followed by Dunn's post hoc test. (The results published here are in whole or part based upon data generated by the TCGA Research Network: https://www.cancer.gov/tcga). H Kaplan Meier plot showing the probability of patient survival compared between API5 mRNA high or low samples. Data obtained from online tool kmplot. Expression data is divided based on the median value of the expression. Black points show low API5 expression while red shows high API5 expression. The significance test was carried out by the online tool and displayed as provided. I API5 expression and occurrence of mutations in genes were compared and plotted using the TCGA portal online tool. A significance test was performed using the online tool and displayed as provided. For all statistical tests, *P < 0.05, **P < 0.01, ***P < 0.001and ****P < 0.0001

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