The cumulative amount of serum-free light chain is a strong prognosticator in chronic lymphocytic leukemia

Francesco Morabito, R De Filippi, Luca Laurenti, K Zirlik, Ag Recchia, Marika Gentile, E Morelli, E Vigna, V Gigliotti, R Calemma, B Amoroso, A Neri, G Cutrona, Marco Ferrarini, S Molica, G Del Poeta, C Tripodo, Anna Maria Pinto

Risultato della ricerca: Contributo in rivistaArticolo in rivista

28 Citazioni (Scopus)


Identification of patients at risk of early disease progression is the mainstay of tailored management in chronic lymphocytic leukemia (CLL). Although application of established biomarkers is limited by intrinsic detection/readout complexities, abnormality of κ and λ serum-free light chain ratio [sFLC (κ/λ)] was proposed as a straightforward prognosticator in CLL. By analyzing 449 therapy-naive patients, we show that an abnormal sFLC(κ/λ), along with CD38, ZAP-70, IGHV mutations, cytogenetics and stage, independently predicts treatment-free survival (TFS) but becomes prognostically irrelevant if the cumulative amount of clonal and nonclonal FLCs [sFLC(κ + λ)], a variable associated with cytogenetic risk, exceeds the threshold of 60.6 mg/mL. Patients with sFLC(κ + λ) above cut-off displayed a poorer TFS outcome, irrespective of sFLC(κ/λ). Only ZAP-70, cytogenetics, stage, and TFS remained associated with sFLC(κ + λ) in a multivariate model. By assigning 1 point each for these variables, the 3-year probability of TFS was 94.8%, 84.5%, 61.6%, and 21.1% for patients scoring 0, 1, 2, and 3 + 4, respectively (P < .0001). These data, and the demonstration that monoclonal and polyclonal B cells concur to FLC synthesis in tumor tissues, suggest that sFLC(κ/λ) and sFLC(κ + λ) mirror distinct biologic processes in CLL. sFLC(κ + λ) assessment represents a sensitive and cost-effective tool for identifying CLL patients requiring early treatment.
Lingua originaleEnglish
pagine (da-a)6353-6361
Numero di pagine9
Stato di pubblicazionePubblicato - 2011


  • Adult
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Biological Markers
  • Bone Marrow
  • Cohort Studies
  • Disease Progression
  • Female
  • Follow-Up Studies
  • Humans
  • Immunoglobulin Light Chains
  • Immunoglobulin kappa-Chains
  • Immunoglobulin lambda-Chains
  • Leukemia, Lymphocytic, Chronic, B-Cell
  • Lymph Nodes
  • Male
  • Middle Aged
  • Prognosis
  • Survival Analysis


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