Fig. 6: Pathways predict gene essentiality.

a ‘Stathmin resistance to anti-microtubule’ pathway activity levels in CLTC-essential and -inert NSCLC cell lines. Error bars represent the standard deviation. P-values were generated using Mann–Whitney U-test. b Stathmin pathway activity levels in sensitive and not-sensitive NSCLC cell lines to PITSTOP2 (CLTC inhibitor). c Network diagram representing the ‘Stathmin resistance to anti-microtubule’ pathway. d ROC analysis was constructed to evaluate the prognostic power of the Stathmin pathway versus the 13 pathway genes and CLTC. The AUC was used to quantify response prediction. e Box plots of Stathmin pathway activity levels in NSCLC tumor samples and their adjacent normal tissues in four independent datasets. Error bars represent the standard deviation. P-values were generated using Mann–Whitney U-test. f Violin plot of ‘Role of BRCA1, BRCA2, and ATR in cancer susceptibility’ pathway activity levels in MAD2L1 essential and inert breast cancer cell lines from the Achilles project. Dots are colored by BRCA1/2 mutation status. P-values were generated using Mann–Whitney U-test. g BRCA pathway activity levels in MAD2L1 essential and inert breast cancer cell lines from project DRIVE. Dots are colored by BRCA1/2 mutation status. P-values were generated using Mann–Whitney U-test. h Network diagram representing the ‘Role of BRCA1, BRCA2, and ATR in cancer susceptibility’ pathway. P-values were generated using Mann–Whitney U-test. i BRCA pathway activity levels in breast cancer patients with pathogenic, non-pathogenic, or wild-type BRCA1/2 mutation in six independent cohorts. Error bars represent the standard deviation. P-values were generated using Mann–Whitney U-test. See also Supplementary Fig. 8.