Fig. 1

a Volcano plot of the RNA-seq data from high grade serous ovarian cancer (HGSOC) patients (n = 14, 7 sensitive and 7 resistant). The plot reports the negative log₁₀ of the Benjamini-Hochberg adjusted P-value against the log₂ fold-change (resistant vs sensitive) of the RNA-seq expression counts. The significance level for gene regulation is set to 0.05. Each gene is a dot, highlighted in blue for down-regulated genes, red for up-regulated, and grey for not-regulated ones. b Hierarchical clustering of the top 42 DEGs (Differentially expressed genes). Hierarchical agglomerative clustering based on Euclidean distance of resistant and sensitive subjects, calculated on RNA-seq standardized raw counts, over the top-42 DEGs (RNA-seq BH-adjusted P-value <5E-03 and |log₂FC| > 1). c Barplot of the KEGG enrichment analysis. Barplot showing the enrichment score (x axis) and supporting genes (labels over the bars) of the 4 enriched KEGG pathways among the 42 RNA-seq top-DEGs. Enrichment data was extracted from the output of the online tool Enrichr. d GeneMania interaction networks for the 42 DEGs. The network was spatially represented using the Cytoscape degree sorted circle layout, in which all nodes with the same numbers of links are located together around the circle. The circle is composed of the 42 query genes (except the lncRNA LOC100133985) found in our study, whereas the genes inside are the result genes identified by GeneMANIA. The colour of the line connecting the genes indicates the type of communication. Our diagram encompasses co-expression in grey lines, physical interactions in red lines, pathway in green lines. The thicknesses of the links (or edges) between the genes are proportional to the interaction strengths, whereas the node size for each gene is proportional to the rank of the gene based on its importance (or gene score) within the network