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Clinical Chemistry 52: 2250-2257, 2006. First published October 13, 2006; 10.1373/clinchem.2006.068205
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(Clinical Chemistry. 2006;52:2250-2257.)
© 2006 American Association for Clinical Chemistry, Inc.


Cancer Diagnostics

Sensitive Detection of KIT D816V in Patients with Mastocytosis

Angela Tan1,a, David Westerman1, Grant A. McArthur2,3, Kevin Lynch5, Paul Waring1,2 and Alexander Dobrovic1,4

1 Departments of Pathology and 2 Haematology and Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
3 Departments of Medicine and 4 Pathology, University of Melbourne, VIC, Australia.
5 Medical Department, Novartis Pharmaceuticals, North Ryde, NSW, Australia.

aAddress correspondence to this author at: Department of Pathology, Peter MacCallum Cancer Centre, Locked Bag No. 1 A’Beckett Street, Melbourne, Victoria, 8006, Australia. Fax 61-3-9656-1460; email angela.tan{at}petermac.org.


   Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Background: The 2447 A>T pathogenic variation at codon 816 of exon 17 (D816V) in the KIT gene, occurring in systemic mastocytosis (SM), leads to constitutive activation of tyrosine kinase activity and confers resistance to the tyrosine kinase inhibitor imatinib mesylate. Thus detection of this variation in SM patients is important for determining treatment strategy, but because the population of malignant cells carrying this variation is often small relative to the normal cell population, standard molecular detection methods can be unsuccessful.

Methods: We developed 2 methods for detection of KIT D816V in SM patients. The first uses enriched sequencing of mutant alleles (ESMA) after BsmAI restriction enzyme digestion, and the second uses an allele-specific competitive blocker PCR (ACB-PCR) assay. We used these methods to assess 26 patients undergoing evaluation for SM, 13 of whom had SM meeting WHO classification criteria (before variation testing), and we compared the results with those obtained by direct sequencing.

Results: The sensitivities of the ESMA and the ACB-PCR assays were 1% and 0.1%, respectively. According to the ACB-PCR assay results, 65% (17/26) of patients were positive for D816V. Of the 17 positive cases, only 23.5% (4/17) were detected by direct sequencing. ESMA detected 2 additional exon 17 pathogenic variations, D816Y and D816N, but detected only 12 (70.5%) of the 17 D816V-positive cases. Overall, 100% (15/15) of the WHO-classified SM cases were codon 816 pathogenic variation positive.

Conclusion: These findings demonstrate that the ACB-PCR assay combined with ESMA is a rapid and highly sensitive approach for detection of KIT D816V in SM patients.


   Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Systemic mastocytosis (SM) 1 is characterized by the abnormal proliferation and accumulation of mast cells. The clinical course in SM patients ranges from no adverse effects to deterioration within months, which is attributable to aggressive infiltration of mast cells. The majority of adult-onset SM patients carry, in the malignant clone, a 2447 A>T point variation (D816V) in exon 17 of the KIT 3 gene, the cellular homologue of v-kit, the Hardy-Zuckerman 4 feline sarcoma viral oncogene.

KIT encodes the protein KIT, a member of the type III transmembrane receptor protein–tyrosine kinase family. On binding of the ligand stem cell factor, dimerization of 2 KIT proteins occurs, leading to phosphorylation and a signaling cascade promoting cell growth and proliferation (1). Activating pathogenic variations of KIT occur in the juxtamembrane domain and the kinase domain, such as D816V, which stabilizes the activated conformation of the protein (2). The D816V pathogenic variation causes ligand–independent constitutive phosphorylation and activation of KIT, leading to uncontrolled growth (3)(4)(5)(6). Because of its transforming ability, D816V may play a major role in SM and is included in the consensus WHO SM classification criteria (7).

To fulfill SM WHO criteria, either the major and at least 1 minor criterion or 3 of the 4 minor criteria must be satisfied. Briefly, the major criterion is the visualization of multifocal dense aggregates (>15 mast cells) in a trephine section (confirmed using mast cell tryptase). The minor criteria are (a) >25% of the mast cells are immature or spindle shaped in the trephine section, (b) a KIT point mutation at codon 816, (c) presence of extra–cutaneous infiltrate of mast cells that coexpress CD117 with CD2 and/or CD25, and (d) total serum tryptase >20 µg/L.

Juxtamembrane pathogenic variations and SM patients without the D816V pathogenic variation are sensitive to the tyrosine kinase inhibitor imatinib mesylate (imatinib), but the D816V pathogenic variation confers resistance to imatinib both in vitro and in vivo (8)(9)(10). Thus detection of D816V in SM patients would indicate that an alternative treatment to imatinib should be sought.

Crystal structure analysis of KIT has elucidated a mechanism for imatinib resistance (11). Imatinib can bind to the kinase domain only in the inactive state. The D816V variation stabilizes the active kinase state, so imatinib is unable to bind and inhibit KIT.

Although D816V is common in SM patients, the reported incidence has been highly inconsistent (5)(12)(13)(14)(15)(16), possibly due to patient heterogeneity (8)(14) or, more importantly, due to the tissues tested and the detection methods used.

Peripheral blood has been used in some SM studies because D816V is thought to originate in a pluripotent hematopoietic progenitor cell and may be present in cell lineages other than mast cells (12)(17). The number of mast cells present in peripheral blood and the presence of the pathogenic variation in other mature myeloid cell lineages, however, appear to depend on the severity of the disease (17). Thus bone marrow samples, where the affected progenitor cells and mast cells are most likely to reside, may yield more useful information than peripheral blood, but the mast cell population of bone marrow aggregates can also be low (18).

Accurate detection of variations present in a small fraction of cells can be difficult. A method with high sensitivity is required in which the rare variant allele will not be overwhelmed by the large proportion of wild-type alleles. Numerous techniques have been developed to enhance the detection of the rare allele signal (19).

In this study, we developed 2 methods to rapidly and sensitively detect codon 816 pathogenic variations in SM patients. The first method, enriched sequencing of mutant alleles (ESMA), is an adaptation of quantitative enriched PCR (22). The second method, allele-specific competitive blocker PCR assay (ACB-PCR), is a modified method of allele-specific amplification (25).


   Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
samples
The human mast cell line HMC-1, derived from a patient with mast cell leukemia, is heterozygous for the D816V pathogenic variation. The HMC-1 cell line was kindly provided by Leonie Ashman (University of Newcastle, Newcastle, Australia) after the signing of a material transfer agreement from the Mayo Clinic and was used as a positive control in all the tests performed (26). The authors state that all samples obtained from the study participants were taken with informed consent and were in accordance with the ethical oversight of pathology activity document no. 03/90. Peripheral blood mononuclear cells from 22 healthy volunteers were used as negative controls. Eight patients with hematological diseases other than SM were also used as negative controls. Samples were obtained from patients who were being screened for enrollment in a phase II clinical trial investigating imatinib in diseases associated with activated tyrosine kinases (Novartis). Bone marrow trephine, bone marrow aspirate, skin, spleen and/or liver samples were obtained from 26 patients. On presentation, (before KIT variation testing) 13 of these patients met the WHO classification of SM (SM-WHO), and 13 patients either did not completely satisfy the SM WHO criteria or their SM WHO criteria was at the time untested or unknown, but these patients were potential SM cases because they presented with various clinical symptoms such as splenomegaly or urticaria pigmentosa (denoted subdiagnostic) [see Table 1 in the Data Supplement that accompanies the online version of this article at http://www.clinchem.org/content/vol52/issue12].

dna extraction
For the dilution experiments, HMC-1 cells and normal peripheral blood mononuclear cells were combined in the appropriate proportions before DNA extraction. The samples for the dilution experiments were extracted with standard salting-out techniques (27). DNA from peripheral blood and bone marrow aspirate samples was extracted with the Wizard® Genomic DNA Purification Kit (Promega) according to the manufacturer’s instructions. Paraffin-embedded samples (2–5 microns) of bone marrow trephine, skin, spleen, or liver were sectioned and DNA was extracted with a 4-day, 56 °C proteinase K digest, then isolated by the Magnesil® Genomic Fixed Tissue System (Promega) or the DNeasy Tissue Kit (Qiagen) according to the manufacturers’ instructions.

primers
All primers are listed in Table 1 . The primer binding sites and BsmAI digestion restriction sites of KIT exon 17 are shown in Fig. 1 .


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Table 1. PCR primer sequences.


Figure 1
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Figure 1. Position of the primers and BsmAI restriction sites in exon 17.

DNA is represented by the striped bar. The 2 BsmAI restriction sites are indicated by the number within the arrowheads. The size of the fragments 34, 72 and 98 generated after BsmAI digestion are shown in bp. The primers are shown as black lines and labeled corresponding to Table 1Up . The position of the D816V pathogenic variation is indicated. In DNA with the pathogenic variation D816V, the 2nd BsmAI restriction site is altered, and the 170 bp fragment (72 + 98 bp) is generated.

direct sequencing of exon 17
Before performing the sequencing reactions, we PCR–amplified 10–100 ng DNA in a total volume of 25 µL containing 200 nmol/L of each primer Ex17_f and Ex17_r, 2.0 mmol/L MgCl2, 0.2 mmol/L each dNTPs, 0.5 units HotStar Taq (Qiagen), and 1x Buffer. After an initial DNA polymerase activation step (95 °C for 15 min) 45 cycles of 94 °C, 30 s/60 °C, 30 s/72 °C, 30 s were performed, with a final 72 °C extension for 10 min. Because the majority of samples were obtained from paraffin-embedded tissue, in which DNA may be highly degraded, this PCR reaction was also used to assess the amplification ability of the extracts before the allele-specific competitive blocker assay (see Fig. 1Up in the online Data Supplement. The 204-bp products were visualized on a 2% ethidium bromide-stained agarose gel.

We prepared the 204-bp products for sequencing with EXO-SAP-IT (USB) according to the manufacturer’s instructions. Then, 3.5 µL of the enzymatically cleaned PCR products were used as a template for the cycle sequencing reaction. Both forward and reverse sequencing were performed with BDT version 3.1 Chemistry (Applied Biosystems) according to the manufacturer’s instructions. Briefly, 2.0 µL BDT premix, 2.0 µL of 5x sequencing buffer, 1.0 µL of either the Ex17_f or Ex17_r primer (10 µmol/L) and 6.5 µL dH2O were combined with 3.5 µL of template. The cycling conditions were 96 °C for 1 min, followed by 25 cycles of 96 °C, 10 s/50 °C, 5 s/60 °C, 4 min. After cycle sequencing was completed, products were ethanol precipitated and analyzed on an ABI 3100.

esma
To reduce the number of normal alleles relative to variant alleles, 8 µL of the 204-bp exon 17 PCR product was digested with 5 units of BsmAI overnight at 55 °C and visualized on an agarose gel. In normal DNA, after digestion with BsmAI, which recognizes GANAC, 3 products are generated, 98, 72, and 34 bp (Fig. 1Up ). In DNA carrying the D816V pathogenic variation, 1 BsmAI recognition site is lost (GANTC), leaving 1 cut site as a result; a 34-bp fragment and a larger 170-bp variant fragment are generated. The larger variant fragment is also generated if any other alteration affects the GANAC recognition sequence. Therefore, variations affecting the 2nd and 3rd base of codon 816 as well as the 2nd and 3rd base of codon 815 will be detected. The sequence of the 170-bp digested product was assessed by stabbing the band with a sterile tip and placing it into a 2nd-round seminested PCR reaction. The PCR conditions were the same as described for the exon 17 presequencing PCR reaction, except the forward primer BsmAI_f was used. After checking that the expected 160-bp fragment was of acceptable quality on an agarose gel, we analyzed the product (enriched for the variant allele) by sequencing. The 160-bp PCR products were prepared with EXO-SAP-IT, cycle sequenced using BDT version 3.1, and ethanol precipitated as described above for direct sequencing of the exon 17 PCR products (see Fig. 1Up in the online Data Supplement).

acb-pcr
Approximately 10–100 ng of DNA was amplified in a total volume of 25 µL containing 200 nmol/L of primer Normal_f, 400 nmol/L each of Variant_f and ACB_r, 2.0 mmol/L MgCl2, 50 µmol/L each dNTPs, 0.5 units HotStar Taq and 1x Buffer. After an initial DNA polymerase activation step (95 °C for 15 min), 45 cycles of 94 °C, 30 s/64 °C, 30 s/72 °C, 30 s were performed with a final 72 °C extension for 10 min. The 99-bp products were visualized on an agarose gel.


   Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
optimization of the acb-pcr assay
The ACB-PCR assay is a modified method of allele-specific amplification (25)(28). Three primers, a normal forward, variant forward, and reverse primer are combined into a standard PCR assay. Both the normal forward and variant forward primers are designed to end exactly at the position of the 2447 A>T D816V point variation with the relevant terminal 3' base specific for the normal or variant allele (Fig. 1Up ). Additional mismatched bases are introduced near the 3' end, which aids in differentiation (20). Specificity of the reaction is further enhanced by use of a 3' end label or "blocker" introduced into the 3' end of the normal primer, which physically prevents amplification of the normal allele. Under stringent conditions, only the variant allele is amplified.

The optimal conditions for the ACB-PCR assay were determined by adjusting the annealing temperature, concentration of dNTPs, and primer concentration, all of which affect the specificity of allele-specific PCR reactions (28). The HMC-1 cell line and normal peripheral blood mononuclear cells were used to determine the optimal conditions for the ACB-PCR assay. If nonoptimal conditions are used in the ACB-PCR assay, allele-differentiating primers do not bind specifically, and mispriming will occur from the normal template generating a false-positive product. None of the 30 negative control samples were amplified in repeated ACB-PCR assays under the optimized conditions used in this study (results available on request).

detection sensitivity
The detection sensitivity of both methods was assessed using dilutions of the HMC-1 cell line with normal peripheral blood mononuclear cells. Dilutions of 1/10, 1/30, 1/100, 1/300, and 1/1000 were tested.

With ESMA, at 100% of HMC-1 cells, the variant T allele peak was substantially larger than the wild-type A peak (Fig. 2A ). At 10% HMC-1 cells, the variant T peak was equivalent in size to the wild-type A peak. The variant T peak was still observed easily at 3% HMC-1 cells, but at 1% HMC-1 cells the variant peak was less readily detected. It appears that ESMA is reproducibly sensitive to the level of at least 1/30 or possibly 1/100, or 1 cell in 100. ESMA is more sensitive than direct sequencing (for which the variant cell population must be at least 20% to be detectable).


Figure 2
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Figure 2. Detection sensitivity tests.

HMC-1 cells were diluted with normal peripheral blood mononuclear cells and were analyzed using ESMA after DNA extraction. (A), ESMA results of 100% HMC-1 cells undiluted, 10% HMC-1 cells diluted 1/10, 3% HMC-1 cells diluted 1/30, and 1% HMC-1 cells diluted 1/100. The 2447 A>T D816V pathogenic variation is indicated with an *. (B), ACB-PCR results of 100% HMC-1 cells undiluted, 10% HMC-1 cells diluted 1/10, 3% HMC-1 cells, diluted 1/30, 1% HMC-1 cells diluted 1/100, 0.3% HMC-1 cells diluted 1/300 and 0.1% HMC-1 cells diluted 1/1000. The expected product size is 99 bp. Marker (M), pUC19 HpaII; N, negative control; 100%, normal peripheral blood mononuclear cells; bk, no template control.

The detection sensitivity of HinfI enzymatic digestion of exon 17 PCR products was also assessed as a method for detecting the D816V pathogenic variation, because HinfI recognizes GANTC, which is created in samples with the D816V variation (5). However, the variation could not be detected at 10% HMC-1 cells, so this method would not be sufficiently sensitive for many cases of SM (results available on request).

The ACB-PCR assay was reproducibly sensitive to the level of 0.1% or 1 cell in 1000 (Fig. 2BUp ). No amplification was observed in the normal DNA samples or in the no-template blank sample. Strong amplification products were observed at 100%, 10%, 3%, and 1% HMC-1 cells. Although amplification was weaker at the levels of 0.3% and 0.1%, any amplification in this assay indicates the presence of D816V variant alleles.

sm patient samples
Both the ACB-PCR assay and ESMA were used to analyze the 26 patient samples. Direct sequencing was also performed for comparison. Each sample was analyzed in duplicate, and a positive control (HMC-1 cell line) and a no-template control blank were included in each PCR assay. At least 3 different negative control DNA samples were run alongside test samples in the ACB-PCR assay. Potential false-negative samples in the ACB-PCR assay were controlled for by assessing the PCR amplification of KIT exon 17. The ACB-PCR assay detected 17 patients who were D816V positive (see Fig. 2Up in the online Data Supplement); 12 were from the SM-WHO group and 5 were from the subdiagnostic group. In comparison, ESMA detected only 12 D816V-positive patients (9 SM-WHO, 3 subdiagnostic), all of whom were detected by the ACB-PCR assay (see Fig. 3A in the online Data Supplement). However, pathogenic variations were detected in 2 other patients, D816Y (SM-WHO) and D816N (subdiagnostic) [see Fig. 3, B and C, in the online Data Supplement].

After variation testing results were obtained, a total of 16 patients were found to fulfill SM WHO criteria. However, because variation testing was performed only on the skin lesion of patient 5, the incidence of KIT variations in SM patients in this study is based on 15 SM patients.

In patients in whom more than 1 type of tissue was tested, identical variation states were obtained with the exception of patient 10. In patient 10, although the bone marrow was involved morphologically, the variation D816Y was detected only in the liver sample. This presentation is unusual, but because only small amounts of tissue were available for diagnostic variation analysis, the variation may have gone undetected in the bone marrow trephine.

The number of D816V-positive patients identified was consistent with the detection sensitivity of the method used. The ACB-PCR assay (the most sensitive method) detected the highest number of D816V cases (17), whereas direct sequencing (the least sensitive method) detected only 4 D816V-positive cases. The combined results of all 3 methods are summarized in Table 2 , and a summary of the variation status of each patient is shown in Table 1Up of the online Data Supplement.


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Table 2. Comparison of the variation status of the SM patients detected by three methods.


   Discussion
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Direct sequencing is not sufficiently sensitive to detect variant alleles present in low amounts and remains relatively expensive and time-consuming compared with other PCR-based variation detection methods (29). Hence, the aim in this study was to develop a highly sensitive method to detect the D816V pathogenic variation in SM patients with standard equipment under a routine diagnostic setting.

We used 2 cost-effective approaches to enable detection of low levels of variant alleles. The first approach was modified from a previous sensitive method, in which 2 rounds of PCR amplification are performed and the variant allele is selectively amplified in the 2nd reaction after restriction enzyme digestion (22). ESMA uses 2 rounds of PCR amplification in a seminested PCR reaction after BsmAI digestion of the normal alleles. The second approach used primer 3' end-base discrimination. Blocking amplification of the normal allele with a 3'-end dideoxynucleotide or locked nucleic acid has also been used to detect variations at the level of 3 x 10–9 in mouse genomes and 100-fold excess of wild-type in BRAF cell line studies, respectively (35)(36). The cost of manufacturing primers with 3' modified locked nucleic acids is high, however, and primer with added 3' dideoxynucleotides is not widely available commercially, so this expertise-requiring modification must be performed in the laboratory.

Costly and time-consuming approaches such as cell sorting (30) and laser microdissection(31) have been used previously to increase the proportion of variant mast cells, but additional mast cell purification steps were not required for sensitive detection in either method described in this study. Furthermore, both methods were designed to enable detection in archival paraffin-embedded tissues. Similar to other groups, we observed that to maximize DNA recovery, bone marrow trephines should be fixed with 10% buffered formalin (32).

High detection sensitivity (1/1000) was achieved in an assay with peptide nucleic acid-mediated clamping and melt-point analysis of 2 fluorescent-labeled oligonucleotide probes, but this procedure is expensive because of the required probes and peptide nucleic acid clamps (33). Ligation-based methods also have high detection sensitivities but were not explored in this study because of the relative complexity of the method for the detection of low-abundance point variations (34).

Although the incidence of the D816V pathogenic variation in SM-WHO patients found in this study, 100% (15/15), was similar to previous studies that used sensitive methods of variation detection, e.g., 80% (16) or 100%(13), this figure was much higher than other reports of 25% when only peripheral blood was investigated (12) and 31% when peripheral blood was analyzed by direct sequencing (14). The low incidence reported is likely due to the methods used, i.e., direct sequencing (without any purification of the mast cell population) and sampling of peripheral blood where the level of variant allele is too low for detection.

The pathogenic variation D816Y has been previously reported in a patient with acute myeloid leukemia with a background of SM and also in pediatric patients with urticaria pigmentosa (6)(33)(37). Our patient with the D816Y variation met the criteria for a diagnosis of SM but also had morphologic features of essential thrombocytosis. He subsequently developed a mild chronic thrombocytosis of >500 x 109/L. According to the WHO classification, this patient’s disease was formally classified as SM with associated clonal hematological non–mast-cell lineage disease.

D816N has been reported in a patient with de novo childhood acute myeloid leukemia and sinonasal lymphomas (38)(39). The patient with D816N in this report had a clinical diagnosis of SM, with splenomegaly, rash, an increased tryptase, andeosinophilia, and the bone marrow showed a substantial abnormal loose mast cell infiltrate. FIP1L1-PDGFRA was negative. These features are suspicious but do not formally reach WHO criteria for SM.

The D816H and D816F pathogenic variations reported to be present in SM patients were not observed in this cohort of patients, although ESMA can detect both variations. Also, because all of the SM patients were D816V positive, investigation of whether some patients were carriers of the CHIC2 deletion resulting in FIP1L1-PDGFRA fusion was not investigated. This type of variation has been shown to be present in a subset of SM patients who are D816V negative (40).

The D816V pathogenic variation confers resistance to the drug imatinib. However, new tyrosine kinase inhibitors with activity against the KIT tyrosine kinase such as PKC412 are being examined and may be a suitable treatment for SM patients (41).

After KIT variation testing was performed, the SM WHO criteria fulfilled in each case were reassessed. All of the patients in the SM-WHO group (n = 13) had a point variation in codon 816 (D816V, n = 12; D816Y, n = 1). Of the 13 patients in the subdiagnostic group, 4 had a point variation in codon 816 (D816V, n = 3; D816N, n = 1). This feature in combination with the other WHO criteria originally fulfilled confirmed the diagnosis of SM in 3 patients. Of the remaining 10 patients in the subdiagnostic group, SM could be excluded in 2 patients, diagnoses in 5 patients were inconclusive, and in 3 patients other diseases were diagnosed (patient 2 had acute basophilic leukemia, patient 6 had cutaneous mastocytosis, and patient 7 had reactive anemia). Overall, 15/15 (100%) of SM patients (excluding patient 5, because in this case only skin was tested) were positive for codon 816 pathogenic variation.

The ACB-PCR assay was the most sensitive method for detection of the D816V pathogenic variation, and led to identification of 12/13 (92%) of variations in the SM-WHO group and 5/13 (38%) of the subdiagnostic group (Table 2Up ). The ESMA results for these D816V negative patients showed that 2 were in fact positive for other 816 codon alterations (D816Y in the SM-WHO group and D816N in the subdiagnostic group). D816Y and D816N could be detected only by ESMA, a result that highlights the complementary nature of these 2 methods in their ability to effectively analyze the patient samples for both D816V and other exon 17 alterations. However, additional ACB-PCR assays could be designed to sensitively detect the other codon 816 pathogenic variations such as D816Y and D816N. Once samples were found to be negative by the ACB-PCR assays, in clinically relevant patients ESMA could then be used to scan for other rare variations.


   Acknowledgments
 
This work was supported by a grant from Novartis Pharmaceuticals. One of the authors, Kevin Lynch, is an employee of Novartis Pharmaceuticals. We thank the Molecular Pathology Diagnostics Laboratory of the Peter MacCallum Cancer Centre for their contributions to this study, particularly Serge Kovalenko, Victoria Beshay, Monica Kemena and Mai Vo. We are grateful to Neil O’Callaghan and the Anatomical Pathology Section of the Peter MacCallum Cancer Centre for the rapid processing and preparation of the specimens and Beena Kumar for her assistance in assessing the tissue sections. We also thank Professor Christopher Corless of The Oregon Health and Science University for advice on the ACB-PCR assay.


   Footnotes
 
2 Current address is Pathology and Diagnostics, Genentech Incorporated, South San Francisco, CA 94080.

1 Nonstandard abbreviations: SM, systemic mastocytosis; Imatinib, imatinib mesylate; ESMA, enriched sequencing of mutant alleles; ACB-PCR, allele-specific competitive blocker PCR; SM-WHO, WHO classified SM.

3 Human genes: KIT, cellular homologue of v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homologue, CHIC2, cysteine-rich hydrophobic domain 2.


   References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Ashman L. The biology of stem cell factor and its receptor C-kit. Intl J Biochem Cell Biol 1999;31:1037-1051.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  2. Mol CD, Lim KB, Sridhar V, Zou H, Chien EY, Sang BC, et al. Structure of a c-kit product complex reveals the basis for kinase transactivation. J Biol Chem 2003;278:31461-31464.[Abstract/Free Full Text]
  3. Furitsu T, Tsujimura T, Tono T, Ikeda H, Kitayama H, Koshimizu U, et al. Identification of mutations in the coding sequence of the proto-oncogene c-kit in a human mast cell leukemia cell line causing ligand-independent activation of c-kit product. J Clin Invest 1993;92:1736-1744.[ISI][Medline] [Order article via Infotrieve]
  4. Kitayama H, Kanakura Y, Furitsu T, Tsujimura T, Oritani K, Ikeda H, et al. Constitutively activating mutations of c-kit receptor tyrosine kinase confer factor-independent growth and tumourigenicity of factor-dependent hematopoietic cell lines. Blood 1995;85:790-798.[Abstract/Free Full Text]
  5. Nagata H, Worobec AS, Oh CK, Chowdhury BA, Tannenbaum S, Suzuki Y, et al. Identification of a point mutation in the catalytic domain of the protogene c-kit in peripheral blood mononuclear cells of patients who have mastocytosis with an associated hematologic disorder. Proc Natl Acad Sci U S A 1995;92:10560-10564.[Abstract/Free Full Text]
  6. Longley BJ, Jr, Metcalfe DD, Tharp M, Wang X, Tyrrell L, Lu SZ, et al. Activating and dominant inactivating c-KIT catalytic domain mutations in distinct clinical forms of human mastocytosis. Proc Natl Acad Sci U S A 1999;96:1609-1614.[Abstract/Free Full Text]
  7. Valent P, Horny HP, Escribano L, Longley BJ, Li CY, Schwartz LB, et al. Diagnostic criteria and classification of mastocytosis: a consensus proposal. Leuk Res 2001;25:603-625.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  8. Pardanani A, Reeder TL, Kimlinger TK, Baek JY, Li CY, Butterfield JH, et al. Flt-3 and c-kit mutation studies in a spectrum of chronic myeloid disorders including systemic mast cell disease. Leuk Res 2003;27:739-742.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  9. Frost MJ, Ferrao PT, Hughes TP, Ashman LK. Juxtamembrane mutant V560GKit is more sensitive to imatinib (STI571) compared with wild-type c-Kit, whereas the kinase domain mutant D816VKit is resistant. Mol Cancer Ther 2002;1:1115-1124.[Abstract/Free Full Text]
  10. Ma Y, Zeng S, Metcalfe DD, Akin C, Dimitrijevic S, Butterfield JH, et al. The c-KIT mutation causing human mastocytosis is resistant to STI571 and other KIT kinase inhibitors; kinases with enzymatic site mutations show different inhibitor sensitivity profiles than wild-type kinases and those with regulatory-type mutations. Blood 2002;99:1741-1744.[Abstract/Free Full Text]
  11. Mol CD, Dougan DR, Schneider TR, Skene RJ, Kraus ML, Scheibe DN, et al. Structural basis for the autoinhibition and STI-571 inhibition of c-Kit tyrosine kinase. J Biol Chem 2004;279:31655-31663.[Abstract/Free Full Text]
  12. Worobec AS, Semere T, Nagata H, Metcalfe DD. Clinical correlates of the presence of the Asp816Val c-kit mutation in the peripheral blood mononuclear cells of patients with mastocytosis. Cancer 1998;83:2120-2129.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  13. Fritsche-Polanz R, Jordan J-H, Feix A, Sperr WR, Sunder-Plassmann G, Valent P, et al. Mutation analysis of C-KIT in patients with myelodysplastic syndromes without mastocytosis and cases of systemic mastocytosis. Brit J Haem 2001;113:357-364.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  14. Pardanani A, Elliot M, Reeder T, Li CY, Baxter EJ, Cross NC, et al. Imatinib for systemic mast-cell disease. Lancet 2003;362:535-537.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  15. Pullarkat VA, Bueso-Ramos C, Lai R, Kroft S, Wilson CS, Pullarkat ST, et al. Systemic mastocytosis with associated clonal haematological non-mast-cell lineage disease: analysis of clinicopathologic features and activating c-kit mutations. Am J Hemat 2003;73:12-17.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  16. Horny HP, Sotlar K, Sperr WR, Valent P. Systemic mastocytosis with associated clonal haematological non-mast cell lineage diseases: a histopathological challenge. J Clin Pathol 2004;57:604-608.[Abstract/Free Full Text]
  17. Yavuz AS, Lipsky PE, Yavuz S, Metcalfe DD, Akin C. Evidence for the involvement of a hematopoietic progenitor cell in systemic mastocytosis from single-cell analysis of mutations in the c-kit gene. Blood 2002;100:661-665.[Abstract/Free Full Text]
  18. Valent P, Sperr WR, Schwartz LB, Horny HP. Diagnosis and classification of mast cell proliferative disorders: delineation from immunologic diseases and non-mast cell hematopoietic neoplasms. J Allergy Clin Immunol 2004;114:3-11.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  19. Liu Q, Sommer SS. PAP: detection of ultra rare mutation depends on P* oligonucleotides: "sleeping beauties" awaked by the kiss of pyrophosphorolysis. Hum Mutat 2004;23:426-436.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  20. Newton CR, Graham A, Heptinstall LE, Powell SJ, Summers C, Kalsheker N, et al. Analysis of any point mutation in DNA. The amplification refractory mutation system (ARMS). Nucleic Acids Res 1989;17:2503-2516.[Abstract/Free Full Text]
  21. Wiedmann M, Wilson WJ, Czajka J, Luo J, Barany F, Batt CA. Ligase chain reaction (LCR) – overview and application. PCR Methods Appl 1994;3:S51-S64.[ISI]
  22. Ronai Z, Minamoto T. Quantitative enriched PCR (QEPCR), a highly sensitive method for detection of K-ras oncogene mutation. Hum Mutat 1997;10:322-325.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  23. Orita M, Iwahana H, Kanazawa H, Hayashi K, Sekiya T. Detection of polymorphisms of human DNA by gel electrophoresis as single-strand conformation polymorphisms. Proc Natl Acad Sci U S A 1989;86:2766-2770.[Abstract/Free Full Text]
  24. Myers RM, Fischer SG, Lerman LS, Maniatis T. Nearly all single base substitutions in DNA fragments joined to a GC-clamp can be detected by denaturing gradient gel electrophoresis. Nucleic Acids Res 1985;13:3131-3145.[Abstract/Free Full Text]
  25. Orou A, Fechner B, Utermann G, Menzel HJ. Allele-specific competitive blocker PCR: a one-step method with applicability to pool screening. Hum Mutat 1995;6:163-169.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  26. Butterfield JH, Weiler D, Dewald G, Gleich GJ. Establishment of an immature mast cell line from a patient with mast cell leukemia. Leuk Res 1988;12:345-355.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  27. Miller SA, Dykes DD, Polesky HF. A simple salting-out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res 1988;16:1215.[Free Full Text]
  28. Parsons BL, Heflich RH. Detection of a mouse H-ras codon 61 mutation using a modified allele-specific competitive blocker PCR genotypic selection method. Mutagenesis 1998;13:581-588.[Abstract/Free Full Text]
  29. Highsmith WE, Jr. Electrophoretic methods for mutation detection and DNA sequencing. Coleman WB Tsongalis GJ eds. Molecular diagnostics: for the clinical laboratorian, 2nd ed 2005:85-109 Humana Press Inc New Jersey. .
  30. Noack F, Escribano L, Sotlar K, Nunez R, Schuetze K, Valent P, et al. Evolution of urticaria pigmentosa into indolent systemic mastocytosis: abnormal immunophenotype of mast cells without evidence of c-kit mutation ASP-816-VAL. Leuk Lymphoma 2003;44:313-319.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  31. Sotlar K, Fridrich C, Mall A, Jaussi R, Bultmann B, Valent P, et al. Detection of c-kit point mutation Asp-816-> Val in microdissected pooled single mast cells and leukemic cells in a patient with systemic mastocytosis and concomitant chronic myelomonocytic leukemia. Leuk Res 2002;26:979-984.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  32. Nagasaka T, Lai R, Chen YY, Chen W, Arber DA, Chang KL, et al. The use of archival bone marrow specimens in detecting B-cell non-Hodgkin’s lymphomas using polymerase chain reaction methods. Leuk Lymphoma 2000;36:347-352.[ISI][Medline] [Order article via Infotrieve]
  33. Sotlar K, Escribano L, Landt O, Mohrle S, Herrero S, Torrelo A, et al. One-step detection of c-kit point mutations using peptide nucleic acid-mediated polymerase chain reaction clamping and hybridization probes. Am J Path 2003;162:737-746.[Abstract/Free Full Text]
  34. Thomas G, Sinville R, Sutton S, Farquar H, Hammer RP, Soper SA, et al. Capillary and microelectrophoretic separations of ligase detection reaction products produced from low-abundant point mutations in genomic DNA. Electrophoresis 2004;25:1668-1677.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  35. Liu Q, Sommer SS. Detection of extremely rare alleles by bi-directional pyrophosphorolysis-activated polymerization allele-specific amplification (Bi-PAP-A): measurement of mutation load in mammalian tissues. Biotechniques 2004;36:156-166.[ISI][Medline] [Order article via Infotrieve]
  36. Dominguez PL, Kolodney MS. Wild-type blocking polymerase chain reaction for detection of single nucleotide minority mutations from clinical specimens. Oncogene 2005;24:6830-6834Erratum in: Oncogene 2006;25:656.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  37. Beghini A, Cairoli R, Morra E, Larizza L. In vivo differentiation of mast cells from acute myeloid leukemia blasts carrying a novel activating ligand-independent c-kit mutation. Blood Cells, Mol Dis 1998;24:262-270.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  38. Ning ZQ, Li J, Arceci RJ. Activating mutations of c-kit at codon 816 confer drug resistance in human leukemia cells. Leuk Lymphoma 2001;41:513-522.[ISI][Medline] [Order article via Infotrieve]
  39. Hongyo T, Hoshida Y, Nakatsuka S, Syaifudin M, Kojya S, Yang WI, et al. p53, K-ras, c-kit and ß-catenin gene mutations in sinonasal NK/T-cell lymphoma in Korea and Japan. Oncol Rep 2005;13:265-271.[ISI][Medline] [Order article via Infotrieve]
  40. Pardanani A, Ketterling RP, Brockman SR, Flynn HC, Paternoster SF, Shearer BM, et al. CHIC2 deletion, a surrogate for FIP1L1-PDGFRA fusion, occurs in systemic mastocytosis associated with eosinophilia and predicts response to imatinib mesylate therapy. Blood 2003;102:3093-3096.[Abstract/Free Full Text]
  41. Gotlib J, Berube C, Growney JD, Chen CC, George TI, Williams C, et al. Activity of the tyrosine kinase inhibitor PKC412 in a patient with mast cell leukemia with the D816V KIT mutation. Blood 2005;106:2865-2870.[Abstract/Free Full Text]



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J. Clin. Pathol.Home page
J A Schumacher, K S J Elenitoba-Johnson, and M S Lim
Detection of the c-kit D816V mutation in systemic mastocytosis by allele-specific PCR
J. Clin. Pathol., January 1, 2008; 61(1): 109 - 114.
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