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A new risk model to predict time to first treatment in chronic lymphocytic leukemia based on heavy chain immunoparesis and summated free light chain
- Source :
- European journal of haematologyREFERENCES. 103(4)
- Publication Year :
- 2019
-
Abstract
- BACKGROUND Chronic lymphocytic leukemia (CLL) is frequently accompanied by immune dysregulation. AIMS In this multicenter prospective study, we investigated whether heavy + light chains (HLC: IgGκ, IgGλ, IgAκ, IgAκ, IgMκ, IgMλ) and IgG subclasses (IgG1, IgG2, IgG3, and IgG4) could be used as novel prognostic markers of immunoparesis in 105 treatment-naive patients with CLL. RESULTS Heavy + light chains immunoparesis of ≥1, ≥2, and ≥3 isotypes was evident in 74 (70%), 58 (55%), and 36 (34%) patients, respectively. Severe HLC immunoparesis was identified in 40 (38%) patients. Of the IgG subclasses, IgG1 and IgG2 were most frequently suppressed, affecting 46 (44%) and 36 (34%) patients, respectively; 63 (60%) patients had low levels of at least one IgG subclass. In multivariate analysis, severe HLC immunoparesis (hazard ratio [HR]: 36.5; P = .010) and ΣFLC ≥ 70 mg/L (HR: 13.2; P = .004) were the only factors independently associated with time to first treatment (TTFT). A risk model including these variables identified patients with 0, 1, and 2 risk factors and significantly different TTFT (P
- Subjects :
- Oncology
Male
medicine.medical_specialty
Multivariate analysis
Chronic lymphocytic leukemia
medicine.disease_cause
Subclass
Time-to-Treatment
Risk model
Internal medicine
Medicine
Humans
Prospective cohort study
Aged
Proportional Hazards Models
Aged, 80 and over
business.industry
Time to first treatment
Hazard ratio
Hematology
General Medicine
Immune dysregulation
Middle Aged
Models, Theoretical
medicine.disease
Prognosis
Leukemia, Lymphocytic, Chronic, B-Cell
Female
Immunoglobulin Light Chains
business
Immunoglobulin Heavy Chains
Biomarkers
Subjects
Details
- ISSN :
- 16000609
- Volume :
- 103
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- European journal of haematologyREFERENCES
- Accession number :
- edsair.doi.dedup.....862c128d37d94dc6a7cee67a570a4f0c