Skip to main content
Fig. 1 | Biology of Sex Differences

Fig. 1

From: Treating sex and gender differences as a continuous variable can improve precision cancer treatments

Fig. 1

Cancer transcriptomes exhibit skewing by sex and gender. (A) UMAP of 566 HNSC transcriptomes clustered by similarity. Male: Female Incidence rate ratio is shown. Male (blue X’s) and female (Red circles) distribute throughout the transcriptional space. Local enrichments for male and female transcriptomes were recognized and quantified to define female (filled red circle) and male (filled blue square) poles of gene expression. TI value is color-coded and confidence in the posterior probability is indicated by symbol size as indicated. (B) Ridge plots of the TI value distributions for Male, Female, and All patients from the PANCAN data (7881 total, 4668 M, 3213 F., M: F IRR = 1.45:1), with vertical lines indicating the 5%, 25%, 75% and 95% quantiles, respectively. (C) Ridge plots for TI population distributions for Esophageal Carcinoma (ESCA, M/F IRR = 4.22) and Thyroid Carcinoma (THCA, M/F IRR = 0.41) illustrate the correlation between IRRs and median TI values for the 26 adult cancers. (D) Regression analysis of IRR vs. Median TI values. Shown is the best fit and 95% confidence intervals. R and p values are shown

Back to article page