KIT D816V Mutation Burden Predicts Prognosis and Survival In Patients With Mastocytosis and Correlates With The WHO Type Of The Disease

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 4052-4052
Author(s):  
Gregor Hoermann ◽  
Karoline V. Gleixner ◽  
Graziella E. Dinu ◽  
Georg Greiner ◽  
Friedrich Wimazal ◽  
...  

Abstract Mastocytosis is characterized by abnormal expansion and accumulation of neoplastic mast cells in one or more organ systems. Traditionally, mastocytosis is divided into cutaneous mastocytosis (CM) and systemic mastocytosis (SM). In most patients with SM, the transforming somatic mutation KIT D816V is detected. However, only few studies have quantified the KIT D816V allele burden in CM and SM. The aim of the present study was to quantify KIT D816V in various forms of mastocytosis and to correlate the allele burden of KIT D816V with the disease category, serum tryptase levels and clinical outcomes. KIT D816V was quantified in bone marrow (BM) and peripheral blood (PB) cells by a real-time PCR (qPCR) assay based on allele-specific primers. In addition, BM and PB cells were also examined for the presence of KIT D816V by melting curve analysis after PCR clamping in all patients. Overall, 225 DNA samples (BM, n=112; PB, n=113) from 107 patients with mastocytosis (females: n=57; males, n=50; median age 49 years; range 18-73 years) were analyzed. Based on WHO criteria, 14 patients had CM, 3 the provisional diagnosis of mastocytosis in the skin (MIS), 66 indolent SM (ISM), 6 smouldering SM (SSM), 7 aggressive SM (ASM), one mast cell leukemia (MCL) and 10 patients SM with an associated hematologic non-mast cell lineage disorder (SM-AHNMD). KIT D816V was found in in 76/107 patients (71%) by melting curve analysis after PCR clamping, and in 92/107 patients (86%) by qPCR (p<0.005). In paired BM and PB samples of 43 patients an excellent correlation of the KIT D816V burden with almost identical results was found (r=0.98, p<0.001). When examining the KIT D816V allele burden in KIT D816V+ patients (n=92) in various categories of the disease, significant differences were found between CM (median KIT D816V allele fraction: 0.042%), MIS (median: 0.084%), ISM (median: 0.286%), SSM (median: 3.012%), ASM (median: 9.346%) and SM-AHNMD (median: 3.761%) (p<0.001). Moreover, we found that the KIT D816V allele burden correlates significantly with the serum tryptase level in our patients (r=0.50, p<0.005). Consecutive studies revealed that the KIT D816V allele fraction is of prognostic significance concerning survival as determined by Cox regression (p=0.015). As assessed by Kaplan Meier estimates and log rank testing, patients with a KIT D816V allele burden of ≥2% were found to have a significantly shorter survival than those with an allele burden of less than 2% (p=0.001) (Figure 1). Thirty patients were evaluated at diagnosis and during the follow up. In untreated patients with stable disease, the KIT D816V allele burden remained within a constant range. By contrast, in patients with disease progression, an increase in the KIT D816V burden over time was detectable. In patients responding to cytoreductive agents (cladribine n=4; hydroxyurea n=1) a significant decrease in the median KIT D816V allele burden (by 91.6%) after therapy compared to pre-therapeutic samples was observed (p=0.027). In summary, our data show that qPCR is a highly sensitive approach for the detection and quantification of KIT D816V in patients with mastocytosis and that the KIT D816V mutation burden differs significantly among patients in different WHO subtypes. Moreover, the KIT D816V allele burden correlates with serum tryptase levels and is of prognostic significance concerning survival in patients with mastocytosis. Finally, quantification of KIT D816V may serve as follow up parameter useful for determining the natural course and treatment responses in patients with mastocytosis. We recommend that the KIT D816V mutation burden is included as a novel parameter in daily practice and clinical trials in advanced SM.Figure 1Overall survival of patients with KIT D816V+ mastocytosis. Patients were split into those with a KIT D816V allele burden of<2% and those with an allelic burden of ≥2%. Survival was estimated by the method of Kaplan and Meier (p=0.001).Figure 1. Overall survival of patients with KIT D816V+ mastocytosis. Patients were split into those with a KIT D816V allele burden of<2% and those with an allelic burden of ≥2%. Survival was estimated by the method of Kaplan and Meier (p=0.001). Disclosures: Valent: Novartis: Consultancy, Honoraria, Research Funding.

2018 ◽  
Vol 64 (3) ◽  
pp. 547-555 ◽  
Author(s):  
Georg Greiner ◽  
Michael Gurbisz ◽  
Franz Ratzinger ◽  
Nadine Witzeneder ◽  
Ingrid Simonitsch-Klupp ◽  
...  

Abstract BACKGROUND The analytically sensitive detection of KIT D816V in blood and bone marrow is important for diagnosing systemic mastocytosis (SM). Additionally, precise quantification of the KIT D816V variant allele fraction (VAF) is relevant clinically because it helps to predict multilineage involvement and prognosis in cases of advanced SM. Digital PCR (dPCR) is a promising new method for sensitive detection and accurate quantification of somatic mutations. METHODS We performed a validation study of dPCR for KIT D816V on 302 peripheral blood and bone marrow samples from 156 patients with mastocytosis for comparison with melting curve analysis after peptide nucleic acid-mediated PCR clamping (clamp-PCR) and allele-specific quantitative real-time PCR (qPCR). RESULTS dPCR showed a limit of detection of 0.01% VAF with a mean CV of 8.5% and identified the mutation in 90% of patients compared with 70% for clamp-PCR (P &lt; 0.001). Moreover, dPCR for KIT D816V was highly concordant with qPCR without systematic deviation of results, and confirmed the clinical value of KIT D816V VAF measurements. Thus, patients with advanced SM showed a significantly higher KIT D816V VAF (median, 2.43%) compared with patients with indolent SM (median, 0.14%; P &lt; 0.001). Moreover, dPCR confirmed the prognostic significance of a high KIT D816V VAF regarding survival (P &lt; 0.001). CONCLUSIONS dPCR for KIT D816V provides a high degree of precision and sensitivity combined with the potential for interlaboratory standardization, which is crucial for the implementation of KIT D816V allele burden measurement. Thus, dPCR is suitable as a new method for KIT D816V testing in patients with mastocytosis.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3043-3043
Author(s):  
Greiner Georg ◽  
Michael Gurbisz ◽  
Franz Ratzinger ◽  
Nadine Witzeneder ◽  
Svenja-Verena Class ◽  
...  

Abstract Background: The somatic KIT D816V mutation leads to an activation of the receptor tyrosine kinase KIT and represents a diagnostic criterion for systemic mastocytosis (SM). In the majority of patients, only a very few KIT D816V+ mast cells (MC) or MC precursors, if any, are found in peripheral blood (PB) and bone marrow (BM) aspirates. In contrast, the MC count in BM biopsies is typically much higher. Melting curve analysis after peptide nucleic acid-mediated PCR clamping (clamp-PCR) is widely used for detecting KIT mutations in biopsies.1 We have previously proposed dPCR as a new standard method of KIT D816V testing in SM that can also reliably quantify the variant allele fraction (VAF) in formalin-fixed paraffin-embedded (FFPE) material.2 While multilineage involvement of KIT D816V indicated by a high VAF in PB was associated with an aggressive clinical course,3-6 the mutant allele burden in tissue sections has not been studied in a large series of SM patients. Methods: The VAF of KIT D816V in the tissue was assessed by dPCR (PrimePCR ddPCR, Biorad) on DNA isolated from 211 FFPE BM sections from 116 patients with SM (median age 53 years; 58 females, 58 males) and 57 controls (lymphoma patients undergoing staging biopsy). A total of 91 SM patients were diagnosed with indolent SM (ISM) and 25 with advanced SM (aggressive SM, SM with associated hematologic neoplasm, and mast cell leukemia according to WHO criteria). Results of diagnostic samples were compared to qualitative analysis of KIT D816V clamp-PCR. BM MC infiltration was quantified in a representative area of the tryptase stained section and expressed as % of nucleated cells. Total tryptase levels in serum were determined by a fluoroenzyme-immunoassay. Results: The KIT D816V mutation burden in FFPE BM sections of SM patients showed marked differences between patients ranging from 0.027% to 60% VAF (median: 1.9%). The VAF in BM sections was largely independent from that in liquid specimen (PB and BM aspirate). In particular, a number of ISM patients showed substantially higher VAF in FFPE tissue than in liquid specimen (Figure 1A). In line with this, a higher correlation of KIT D816V mutation burden to BM MC infiltration and serum tryptase levels was observed for FFPE tissue (Spearman's coefficient of correlation r = 0.68 and r = 0.68 respectively; Figure 1B-C) than for liquid specimen (r = 0.48 and r = 0.58 respectively). When analyzing subgroups of SM, FFPE BM sections of patients with advanced SM had a significantly higher KIT D816V allele burden (median 23.40%) compared to patients with ISM (median 1.65%; p<0.001 Figure 1D). Finally, we assessed the sensitivity and specificity of dPCR for KIT D816V analysis in FFPE BM section compared to clamp PCR. While a specificity of 100% was observed for both assays, dPCR showed a significantly higher sensitivity to detect the mutation in BM tissue of ISM patients compared to clamp PCR (97% vs. 89%; p<0.05). Conclusion: dPCR is a sensitive method to detect KIT D816V and reliably quantify the mutant allele burden in FFPE BM sections of SM patients. The mutational burden in the tissue represents a new molecular marker of the disease burden in SM since it reflects both the multilineage involvement of KIT D816V and the MC burden while the mutation burden in PB primarily reflects the KIT D816V multilineage involvement. Although the tissue mutational burden in patients with advanced SM is higher compared to ISM, the difference is not as substantial as described for PB. Thus, the prognostic value of KIT D816V allele burden measurement in SM needs to be redefined for BM sections. Potential future applications of KIT D816V quantification in FFPE BM sections include treatment response monitoring and definition of high disease burden in smoldering SM (SSM). We propose to include dPCR-based KIT D816V mutant allele burden measurement in BM tissue as a new biomarker for disease burden in SM in future clinical trials. References: 1. Sotlar K, et al. Am J Pathol. 2003;162(3):737-746. 2. Greiner G, et al. Clin Chem. 2018;64(3):547-555. 3. Erben P, et al. Ann Hematol. 2014;93(1):81-88. 4. Hoermann G, et al. Allergy. 2014;69(6):810-813. 5. Jara-Acevedo M, et al. Mod Pathol. 2015;28(8):1138-1149. 6. Broesby-Olsen S, et al. J Allergy Clin Immunol. 2013;132(3):723-728. Figure 1 Figure 1. Disclosures Sperr: Novartis: Honoraria; Pfizer: Honoraria; Daiichi Sankyo: Honoraria. Valent:Incyte: Honoraria; Pfizer: Honoraria; Novartis: Honoraria. Hoermann:Novartis: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria; Pfizer: Honoraria.


2005 ◽  
Vol 43 (2) ◽  
pp. 301-310 ◽  
Author(s):  
Kijeong Kim ◽  
Juwon Seo ◽  
Katherine Wheeler ◽  
Chulmin Park ◽  
Daewhan Kim ◽  
...  

2006 ◽  
Vol 52 (12) ◽  
pp. 2236-2242 ◽  
Author(s):  
Melissa R Snyder ◽  
Jerry A Katzmann ◽  
Malinda L Butz ◽  
Ping Yang ◽  
D Brian Dawson ◽  
...  

Abstract Background: Laboratory testing in suspected α-1-antitrypsin (A1AT) deficiency involves analysis of A1AT concentrations and identification of specific alleles by genotyping or phenotyping. The purpose of this study was to define and evaluate a strategy that provides reliable laboratory evaluation of A1AT deficiency. Methods: Samples from 512 individuals referred for A1AT phenotype analysis were analyzed by quantification, phenotype, and genotype. A1AT concentrations were measured by nephelometry. Phenotype analysis was performed by isoelectric focusing electrophoresis. The genotype assay detected the S and Z deficiency alleles by a melting curve analysis. Results: Of the 512 samples analyzed, 2% of the phenotype and genotype results were discordant. Among these 10 discordant results, 7 were attributed to phenotyping errors. On the basis of these data we formulated an algorithm, according to which we analyzed samples by genotyping and quantification assays, with a reflex to phenotyping when the genotype and quantification results were not concordant. Retrospective analyses demonstrated that 4% of samples submitted for genotype and quantitative analysis were reflexed to phenotyping. Of the reflexed samples, phenotyping confirmed the genotype result in 85% of cases. In the remaining 15%, phenotyping provided further information, including identifying rare deficiency alleles and suggesting the presence of a null allele, and allowed for a more definitive interpretation of the genotype result. Conclusions: The combination of genotyping and quantification, with a reflex to phenotyping, is the optimal strategy for the laboratory evaluation of A1AT deficiency.


HLA ◽  
2018 ◽  
Vol 92 (6) ◽  
pp. 384-391
Author(s):  
Leonardo M. Amorim ◽  
Tiago H. S. Santos ◽  
Jill A. Hollenbach ◽  
Paul J. Norman ◽  
Wesley M. Marin ◽  
...  

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