Pooled analysis of prospective trials demonstrates that baseline ELTS score and early warning response predict failure-free survival in CP-CML, highlighting a dynamic two-stage risk model.
Risk stratification to predict treatment failure in chronic-phase chronic myeloid leukemia (CP-CML) remains an important challenge in the tyrosine kinase inhibitor (TKI) era. We conducted a pooled analysis of 710 newly diagnosed CP-CML patients enrolled in the prospective JALSG CML212 and New TARGET studies, approximately 80% of whom received second-generation TKIs (2G-TKIs) as first-line therapy, to identify predictors of failure-free survival (FFS). In this study, we incorporated the ELN 2025-defined "Warning" category as an initial adverse state in the definition of FFS events and evaluated transitions to "Unfavorable". Within this framework, the EUTOS long-term survival (ELTS) score consistently stratified FFS whether treatment failure included both "Warning" and "Unfavorable" events or was restricted to "Unfavorable". Among patients treated with 2G-TKIs, ELTS demonstrated superior time-dependent discrimination compared with Sokal and remained the baseline predictor of initial treatment failure. Importantly, once "Warning" occurred, baseline ELTS no longer predicted deterioration. Instead, attainment of "Warning" within 6 months after TKI initiation independently predicted transition from "Warning" to "Unfavorable" (HR 7.31, 95% CI 2.94-18.2; p<0.001). These findings distinguish baseline risk from post-milestone disease evolution and support a two-stage risk framework integrating baseline ELTS stratification with "Warning" timing to guide dynamic risk-adapted management in CP-CML.
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Takagi et al. (2026) studied this question.
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