Literature DB >> 22331938

Polyclonal immunoglobulin free light chain levels predict survival in myeloid neoplasms.

Animesh Pardanani1, Terra L Lasho, Christy M Finke, S Vincent Rajkumar, Preet Paul Singh, Rhett P Ketterling, Curtis A Hanson, Jerry A Katzmann, Ayalew Tefferi.   

Abstract

PURPOSE: We hypothesized that surrogate markers of host immune response may predict survival in myeloid malignancies. Because of immediate practical applicability, we chose plasma immunoglobulin free light chain (FLC) concentration as the biomarker of interest. PATIENTS AND METHODS: Two independent cohorts of patients with primary myelofibrosis (PMF) or myelodysplastic syndromes (MDS) were studied. Kappa (κ) and lambda (λ) FLCs were measured by a quantitative nephelometric assay. Patients with monoclonal FLC were excluded.
RESULTS: Values that were above the upper limit of normal for κ or λ FLC were documented in 33% of 240 patients with PMF and 46% of 74 patients with MDS. Increased FLC was significantly associated with increased creatinine, and advanced age in PMF (P < .001) and hemoglobin less than 10 g/dL in MDS (P = .005). In multivariable analysis, increased FLC predicted shortened survival in both PMF and MDS, independent of age, creatinine, and other conventional risk factors. Cutoff levels based on receiver operating characteristic analysis for κ plus λ total FLCs delineated risk groups with highly significant differences in overall survival; International Prognostic Scoring System-adjusted hazard ratio in PMF was 1.9 (95% CI, 1.3 to 2.7), and was 6.3 (95% CI, 2.7 to 16.6) in MDS. No correlations were seen with leukemia-free survival, karyotype, or JAK2, MPL, or IDH mutations. In patients with PMF who were studied by cytokine profiling, the prognostic value of an increased FLC level was independent of that from circulating interleukin-2 receptor (IL-2R) or IL-8 levels.
CONCLUSION: Increased plasma FLC concentration predicts inferior survival in both PMF and MDS. Its lack of correlation with leukemia-free survival and tumor-specific genetic markers suggests a primarily host-driven biologic phenomenon that might be more broadly applicable.

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Year:  2012        PMID: 22331938     DOI: 10.1200/JCO.2011.39.0310

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  3 in total

1.  Using single protein biomarkers to predict health and disease in diverse patient populations: a new role for assessment of immunoglobulin free light chains.

Authors:  Mark T Drayson
Journal:  Mayo Clin Proc       Date:  2012-06       Impact factor: 7.616

Review 2.  Setting Appropriate Goals for the Next Generation of Clinical Trials in Myelofibrosis.

Authors:  Giovanni Barosi
Journal:  Curr Hematol Malig Rep       Date:  2015-12       Impact factor: 3.952

Review 3.  Epidemiology of MPN: what do we know?

Authors:  L A Anderson; M F McMullin
Journal:  Curr Hematol Malig Rep       Date:  2014-12       Impact factor: 3.952

  3 in total

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