Meta-analysis validates pathology-based triage for breast cancer risk assessment, suggesting enhanced accessibility.
The 21-gene Oncotype DX (ODX) recurrence score (RS) is the standard for HR + /HER2- early breast cancer risk stratification, but prohibitive costs limit global accessibility. This meta-analysis of 13 studies ( N = 5396) validates the Magee Equations (ME)—utilizing routine pathology (grade, ER/PR/HER2/Ki-67)—as a safe triage tool. For the TAILORx threshold (RS 26 or higher), a ME <18 yielded a pooled negative predictive value (NPV) of 0.96 (95% CI: 0.94–0.97) and a 62% test-sparing rate. At the RS 31 or higher threshold, NPV increased to 0.99. Qualitative synthesis identified inter-observer variability in mitotic counting and Ki-67 scoring as primary discordance drivers. While manual subjectivity remains a constraint, Magee-based triage provides a robust histopathological signal. Integrating AI-driven digital pathomics offers a transformative pathway to standardize interpretations and democratize precision oncology in resource-limited settings.
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Susiriwatananont et al. (2026) studied this question.
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