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Figure 1 | BMC Genomics

Figure 1

From: Integrated genomic analysis of triple-negative breast cancers reveals novel microRNAs associated with clinical and molecular phenotypes and sheds light on the pathways they control

Figure 1

Overview of the analytical workflow used in the study. 1. miRNA expression data, histopathological data and patient clinical follow-up information were used in Cox-regression models to identify prognostic miRNAs. 2. mRNA data was used to classify tumours into different molecular "intrinsic" subytpes. miRNA differential expression across tumour subtypes were then identified using ANOVA analysis. 3. Prognostic and subtype-specific miRNAs identified in a and b were further analysed: (a) correlations between miRNA DNA copy number aberrations and miRNA expression (b) Correlative analysis between miRNA expression and pathway signatures (c) Identification of miRNAs anti-correlated with the transcriptional levels of their predicted targets (miRNAapt) and inference of the pathways and transcriptional signatures they control.

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BMC Genomics

ISSN: 1471-2164

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