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Chapter 3: Hermes – reverse engineering ceRNA network in glioblastoma

3.11 Experimental Procedures

3.11.10 Statistical analysis

All experiments were performed at least in triplicate and representative results are shown. All data are shown as the mean ± standard error. Student’s t-tests were used to evaluate statistical significances between different treatment groups.

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Chapter 4: Constructing the pan-cancer ceRNA network across multiple tumors

4.1 Introduction

Through my analysis of four distinct tumor-specific ceRNA networks, I identified more than 160,000 interactions that are common to all four tumor contexts, including of glioblastoma, the carcinoma of breast, prostate, and ovary. Genome-wide statistical analysis and targeted experimental assays confirmed these interactions in a dozen additional cellular contexts, both tumor and non-tumor related, thus further supporting their predicted pan-cancer nature.