Fig. 1: Molecular features associated with disease progression. | Nature Communications

Fig. 1: Molecular features associated with disease progression.

From: Real-world clinical multi-omics analyses reveal bifurcation of ER-independent and ER-dependent drug resistance to CDK4/6 inhibitors

Fig. 1

Schematic overviews of study design (a) and data analysis strategy (b). Volcano plots highlighting molecular features (c) and Hallmark gene signatures (d) significantly up regulated from Pre to Post and associated with shorter PFS at baseline. The y-axis shows the signed log10(p) representing the statistical significance of the change in feature value between Pre and Post, estimated by two-sided linear mixed-effects regression (LMER). % Change: percentage change in feature value in Post vs. Pre. Coef: effect size measured by regression coefficient from LMER analysis. The vertical dashed lines indicate the cutoffs >10% or <−10%. The horizontal dashed line indicates the cutoff for p value < 0.05. Each signature is colored based on its statistical significance, with red indicating that both cutoffs are met and blue and green indicating that only one of the cutoffs is met. −Log10 P: statistical significance. NS: not significant. e Systematic Pre vs. Post Comparison of Genomic Alteration Frequencies identified 7 genes with one-tailed fisher exact test p < 0.05 and alteration frequency in Post >5% and covered in all sequencing panels. Source data are provided as a Source Data file.

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