Figure 7: CES predicts cancer patient outcome after adjuvant chemotherapy or radiotherapy. | Nature Communications

Figure 7: CES predicts cancer patient outcome after adjuvant chemotherapy or radiotherapy.

From: Centromere and kinetochore gene misexpression predicts cancer patient survival and response to radiotherapy and chemotherapy

Figure 7

(a) Kaplan–Meier plots showing that high CES predicts better patient outcome after adjuvant chemotherapy (ACT) for early-stage NSCLC patients in JBR.10 trial. ACT significantly improved overall survival compared to no ACT (OBS) specifically for the high CES group (top tertile), but not for the low CES group (lower two tertiles). (b) Kaplan–Meier plots showing that high CES predicts better patient outcome after adjuvant radiotherapy (RT) for (left) overall survival (OS) and (right) disease-free survival (DFS) for breast cancer patients using the Gray data set (E-TABM-158). Patient cohort was divided into CES tertiles. There is no significant survival benefit from RT for patients with intermediate (middle) and low (bottom) CES. (c–h) Forest plots summarizing treatment-specific hazard ratios of high CES in cancer patient cohorts using K–M Plotter. Squares and error bars in the plots denote log2 scales of hazard ratio (HR) and 95% confidence interval (CI), respectively. (c) NSCLC patient overall survival (OS) with or without chemotherapy or radiotherapy (see Supplementary Fig. 27 for Kaplan–Meier plots). (d) NSCLC patient first progression (FP) (Supplementary Fig. 29). (e) ER+ breast cancer patient relapse-free survival (RFS) with or without tamoxifen or chemotherapy (Supplementary Fig. 30). (f) Grade 3 breast cancer patient survival with or without chemotherapy (Supplementary Fig. 31). (g) ER− cancer patient survival (Supplementary Fig. 32). (h) Stage 3 and 4 combined ovarian cancer patient overall survival and progression-free survival (PFS) with topotecan or platinum treatments (Supplementary Fig. 33).

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