ArticleLeukemia2026
Prognostic significance of clinical risk models and genomic alterations in Waldenström macroglobulinemia before or after the BTK inhibitor era.
Article in Leukemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Smoldering Waldenström macroglobulinemia coexisting with myelodysplastic syndrome: a rare case report and literature review.Frontiers in oncology · 2026Article
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Authors and funding
16 authors.
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Abstract
Waldenström macroglobulinemia (WM) is a rare indolent B-cell lymphoma with marked clinical and molecular heterogeneity. Clinical risk models, including IPSSWM, rIPSSWM, and MSSWM, were developed prior to the widespread use of Bruton tyrosine kinase inhibitors (BTKi), and their performance in the BTKi era remains uncertain. In addition, the prognostic impact of various genomic alterations is controversial. We retrospectively analyzed 453 symptomatic WM patients, including 203 who received non-BTKi therapy and 250 who received BTKi-based therapy. All three models significantly stratified prognosis in the non-BTKi cohort, with rIPSSWM showing the highest predictive accuracy, but none effectively predicted survival in BTKi-treated patients. Notably, among patients receiving first-line BTKi-based therapy, high-risk patients by any model achieved survival outcomes comparable to those of lower-risk patients, suggesting that upfront BTKi can overcome the adverse impact of high-risk clinical features. At the molecular level, MYD88 mutation was significantly associated with favorable outcomes exclusively in patients treated with first-line BTKi-based therapy, while CXCR4 and TP53 mutations predicted significantly inferior prognosis in both BTKi-based and non-BTKi cohorts. Our findings indicate that although clinical risk models remain relevant for patients receiving non-BTKi therapy, molecular features, especially MYD88, CXCR4, and TP53 mutations, provide superior prognostic insights for patients with BTKi-based regimens.
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