Fig. 3: Overall MM cell line rankings reveal more and less patient-like in vitro disease models. | Leukemia

Fig. 3: Overall MM cell line rankings reveal more and less patient-like in vitro disease models.

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

Fig. 3

a Correlation analysis of the CCLE and CoMMpass data. Each sample in the violin plot corresponds to the Spearman correlation between one cell line and one primary tumor sample using the 5000 most variable genes. In the overlaid box plot, the red center line depicts the median, the box limits depict the upper and lower quartiles, and the whiskers depict 1.5 times the interquartile range. Culture with IL-6 prior to RNA-seq analysis is indicated as blue boxes at bottom of plot. b Comparison of each patient’s Spearman correlation to ANBL-6 versus the second-ranked line, ALMC-1, demonstrates the highly significant increased correlation with ANBL-6. c Similarly, essentially all patient transcriptomes correlate more strongly with ANBL-6 transcriptome than the aggregate panel of all other cell lines. All p values using Wilcoxon test. d The literature usage for each cell line was measured using a Google Scholar search (October 2, 2019). The number of individual results from the text search of “[cell line] myeloma” is plotted per cell line and ordered per the rankings in 3a.

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