ArticleBritish journal of haematology2025
Serum soluble interleukin-2 receptor levels in hairy cell leukaemia as a marker of tumour burden with prognostic value and as a tool for disease monitoring.
Article in British journal of haematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The trial behind it
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Who cites it
2 citing papers in PubMed.
- Serum soluble interleukin-2 receptor levels in hairy cell leukaemia as a marker of tumour burden with prognostic value and as a tool for disease monitoring.British journal of haematology · 2025Article
- Hairy cell leukemia - etiopathogenesis, diagnosis and modern therapeutic approach.Biochemia medica · 2024Review
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Leukaemic cells from hairy cell leukaemia (HCL) secrete a soluble form of the interleukin-2 receptor (sIL-2R) which is measurable in serum. Previous evidence suggested that sIL-2R may correlate well with tumour burden and demonstrated a reduction in sIL-2R levels after therapy with recombinant interferon-α2. We evaluated the role of sIL-2R as a new prognostic factor and as a tool for disease monitoring. sIL-2R correlated well with other markers of neoplastic bulk and markedly decreased after treatment, with lower levels achieved in patients reaching complete remission (p = 0.002) or negative minimal residual disease (MRD, p = 0.034). Post-treatment levels ≤827 kU/L were strongly predictive of longer time to next treatment (TTNT) (median NR vs. 4.87 years; hazard ratio [HR]: 0.10; 95% confidence interval [CI]: 0.02-0.24; p < 0.001) and higher 5- and 10-year TTNT rates (5-year: 93% vs. 45%; 10-year: 83% vs. 11%). Furthermore, a ≥50% increase in sIL-2R levels over any 1-year interval during follow-up predicted impending relapse. In a context where patients with HCL are expected to achieve a life expectancy comparable to that of the general population, sIL-2R has the potential to serve as a non-invasive tool alongside MRD to predict relapse and to identify those patients who may fail to derive the most benefit from current treatments.
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