Fig. 5: Biological factors drive increased correlations and overall differences between patient tumors and cell lines. | Leukemia

Fig. 5: Biological factors drive increased correlations and overall differences between patient tumors and cell lines.

From: Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis

Fig. 5: Biological factors drive increased correlations and overall differences between patient tumors and cell lines.

a Box plots (each dot median of a cell line compared with all patients in CoMMpass) indicate that culture with IL-6 significantly increases the similarity of cell lines to tumors. b The cohort of CoMMpass patients with progressive disease showed increased similarity to cell lines versus newly diagnosed. c Increased international staging system (ISS) grade at diagnosis leads to more similarity to cell lines. d Gene Set Enrichment Analysis (GSEA) reveals immune signaling signatures significantly enriched in patient tumors, whereas signatures of proliferation and oncogenesis are enriched in cell lines. Performed using cutoff of differentially expressed genes at Log2 fold-change > |1|, false discovery rate < 0.01. e Comparative expression of selected genes (in transcripts per million, TPM) related to unfolded protein stress identifies differences in cell lines and patients. p values by Wilcoxon test in 5a-5c; by two-sided t-test in 5e.

Back to article page