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Genomic instability is associated with breast cancer immune response. We sought to evaluate joint effects of genomic instability and immune response on recurrence using validated RNA-based assays and statistical models for assessing joint expression in a population-based dataset ( N = 2783). Prognostic value of the resulting coordinated signature, Repair, Immune, and Genomics for Oncologic Reclassification (RIGOR150), was assessed in estrogen receptor (ER)+ and ER− breast cancers ( N = 1899 with recurrence information) and validated in public datasets. RIGOR150 was strongly associated with recurrence risk in training (Hazard Ratio [HR] for high vs. low-risk = 5.10, 95% confidence interval [CI] = 3.19, 8.15) and test data (HR = 3.07, 95% CI = 1.73, 5.45) and was validated in external datasets. Among ER+ tumors, RIGOR150 high-risk was associated with early (0–5 years, HR = 5.75, 95% CI = 3.38, 9.77) and late recurrence (5–10 years, HR = 2.67, 95% CI = 1.26, 5.65). RIGOR150 added prognostic value independent of existing risk predictors (21-gene recurrence score and PAM50), and was associated with neoantigens, proliferation, and tumor-immune cell proximity. Overall, joint patterns of genomic instability and immunogenicity augment current breast cancer prognostic scores, providing early and late prognostication.
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Alsten et al. (2026) studied this question.
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