2.2. Data Analysis

The differential expression of the OCSCs markers and the enzymes involved in the metabolic pathways in OCSCs and their parental cells was analyzed by the multiple t-test with Holm–Sidak method, and each gene was analyzed individually between the two groups, without assuming a consistent SD with p ≤ 0.05. Data of the OvCa cell lines were downloaded from the Broad Institute Cancer Cell Line Encyclopedia (CCLE) portal (https://portals.broadinstitute.org/ccle/) and were similarly analyzed. The transcripts of OCSC markers and metabolic enzymes were correlated in the OCSC populations using Pearson’s correlation. All analyses were performed using GraphPad Prism 7.0 (San Diego, CA, USA). Correlations of the genes from The Cancer Genome Atlas (TCGA) data were performed using Gene Expression Profiling Interactive Analysis (GEPIA) web tool (http://gepia.cancer-pku.cn/) [43]. Bar graphs representing the prevalence of positive and negative correlations were generated in Microsoft Excel.