Literature DB >> 19644024

Rapid detection of KIT mutations in core-binding factor acute myeloid leukemia using high-resolution melting analysis.

Oscar Fuster1, Eva Barragán, Pascual Bolufer, José Cervera, Maria José Larráyoz, Antonio Jiménez-Velasco, Joaquín Martínez-López, Ana Valencia, Federico Moscardó, Miguel Angel Sanz.   

Abstract

The most frequent KIT mutations reported in core-binding factor acute myeloid leukemia are point mutations and insertions/deletions in exons 17 and 8. The vast majority of KIT mutation detection procedures are time-consuming, costly, or with a high lower limit of detection. High-resolution melting (HRM) is a gene scanning method that combines simplicity and rapid identification of genetic variants. We describe an HRM method for the simultaneous screening of exons 8 and 17 KIT mutations and report the results obtained in 69 core-binding factor acute myeloid leukemia patients. Mutation detection was compared with sequencing as the gold standard. The HRM method used high-resolution melting master reagents (Roche) and the LightCycler 480 (Roche) platform. HRM was reproducible, showed a lower limit of detection of 1%, and discriminated all patients with mutated KIT from controls without false positive or false negative results. Additionally, most of the mutations were differentiated from the other mutations. KIT mutations were present in 15.9% of patients, showing a higher incidence in inv(16) (25.8%) than in t(8;21) (7.9%). The presence of a KIT mutation was associated with a high white blood cell count, and adult patients with an exon 17 mutation had a higher incidence of relapse. These findings verify that HRM is a reliable, rapid, and sensitive method for KIT mutation screening. Furthermore, our study corroborates the unfavorable prognosis associated with exon 17 KIT mutations.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19644024      PMCID: PMC2729844          DOI: 10.2353/jmoldx.2009.090043

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  30 in total

1.  C-kit mutations in core binding factor leukemias.

Authors:  A Beghini; P Peterlongo; C B Ripamonti; L Larizza; R Cairoli; E Morra; C Mecucci
Journal:  Blood       Date:  2000-01-15       Impact factor: 22.113

2.  One-step detection of c-kit point mutations using peptide nucleic acid-mediated polymerase chain reaction clamping and hybridization probes.

Authors:  Karl Sotlar; Luis Escribano; Olfert Landt; Stefanie Möhrle; Sonia Herrero; Antonio Torrelo; Ulrich Lass; Hans-Peter Horny; Burkhard Bültmann
Journal:  Am J Pathol       Date:  2003-03       Impact factor: 4.307

3.  Activating mutations of c-kit at codon 816 confer drug resistance in human leukemia cells.

Authors:  Z Q Ning; J Li; R J Arceci
Journal:  Leuk Lymphoma       Date:  2001-05

4.  Evaluation of survival data and two new rank order statistics arising in its consideration.

Authors:  N Mantel
Journal:  Cancer Chemother Rep       Date:  1966-03

5.  KIT activating mutations: incidence in adult and pediatric acute myeloid leukemia, and identification of an internal tandem duplication.

Authors:  Alessandro Beghini; Carla B Ripamonti; Roberto Cairoli; Giovanni Cazzaniga; Patrizia Colapietro; Francesca Elice; Gianpaolo Nadali; Giovanni Grillo; Oskar A Haas; Andrea Biondi; Enrica Morra; Lidia Larizza
Journal:  Haematologica       Date:  2004-08       Impact factor: 9.941

6.  Detection of c-kit-activating mutations in gastrointestinal stromal tumors by high-resolution amplicon melting analysis.

Authors:  Carlynn Willmore; Joseph A Holden; Luming Zhou; Sheryl Tripp; Carl T Wittwer; Lester J Layfield
Journal:  Am J Clin Pathol       Date:  2004-08       Impact factor: 2.493

7.  Incidence and prognosis of c-KIT and FLT3 mutations in core binding factor (CBF) acute myeloid leukaemias.

Authors:  Rory S Care; Peter J M Valk; Anne C Goodeve; Faisel M Abu-Duhier; Wendy M C Geertsma-Kleinekoort; Giu A Wilson; Mamdooh A Gari; Ian R Peake; Bob Löwenberg; John T Reilly
Journal:  Br J Haematol       Date:  2003-06       Impact factor: 6.998

8.  High-resolution melting analysis for detection of internal tandem duplications.

Authors:  Cecily P Vaughn; Kojo S J Elenitoba-Johnson
Journal:  J Mol Diagn       Date:  2004-08       Impact factor: 5.568

9.  High-resolution genotyping by amplicon melting analysis using LCGreen.

Authors:  Carl T Wittwer; Gudrun H Reed; Cameron N Gundry; Joshua G Vandersteen; Robert J Pryor
Journal:  Clin Chem       Date:  2003-06       Impact factor: 8.327

10.  Proposals for the classification of the acute leukaemias. French-American-British (FAB) co-operative group.

Authors:  J M Bennett; D Catovsky; M T Daniel; G Flandrin; D A Galton; H R Gralnick; C Sultan
Journal:  Br J Haematol       Date:  1976-08       Impact factor: 6.998

View more
  10 in total

1.  Mutation analysis of SLC26A4 for Pendred syndrome and nonsyndromic hearing loss by high-resolution melting.

Authors:  Neng Chen; Lisbeth Tranebjærg; Nanna Dahl Rendtorff; Iris Schrijver
Journal:  J Mol Diagn       Date:  2011-04-29       Impact factor: 5.568

2.  Ultrasensitive detection of drug-resistant pandemic 2009 (H1N1) influenza A virus by rare-variant-sensitive high-resolution melting-curve analysis.

Authors:  Neng Chen; Benjamin A Pinsky; Betty P Lee; Min Lin; Iris Schrijver
Journal:  J Clin Microbiol       Date:  2011-05-04       Impact factor: 5.948

3.  Simplifying the detection of MUTYH mutations by high resolution melting analysis.

Authors:  Isabel López-Villar; Rosa Ayala; Jan Wesselink; Juan Diego Morillas; Elena López; José Carlos Marín; José Díaz-Tasende; Sara González; Luis Robles; Joaquín Martínez-López
Journal:  BMC Cancer       Date:  2010-08-05       Impact factor: 4.430

4.  Is high resolution melting analysis (HRMA) accurate for detection of human disease-associated mutations? A meta analysis.

Authors:  Bing-Sheng Li; Xin-Ying Wang; Feng-Li Ma; Bo Jiang; Xiao-Xiao Song; An-Gao Xu
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

5.  A novel melting curve-based method for detecting c-kit mutations in acute myeloid leukemia.

Authors:  Quanyi Lu; Xiao Huang; Huaying Chen; Xiaomin Zhao
Journal:  Oncol Lett       Date:  2014-05-09       Impact factor: 2.967

6.  High-resolution melting curve analysis, a rapid and affordable method for mutation analysis in childhood acute myeloid leukemia.

Authors:  Yin Liu; Jingyan Tang; Peter Wakamatsu; Huiliang Xue; Jing Chen; Paul S Gaynon; Shuhong Shen; Weili Sun
Journal:  Front Pediatr       Date:  2014-09-09       Impact factor: 3.418

7.  Diagnostic accuracy of high resolution melting analysis for detection of KRAS mutations: a systematic review and meta-analysis.

Authors:  Yue-Ping Liu; Hai-Yan Wu; Xiang Yang; Han-Qing Xu; Dong Chen; Qing Huang; Wei-Ling Fu
Journal:  Sci Rep       Date:  2014-12-17       Impact factor: 4.379

8.  High resolution melting analysis: a rapid and accurate method to detect CALR mutations.

Authors:  Cristina Bilbao-Sieyro; Guillermo Santana; Melania Moreno; Laura Torres; Gonzalo Santana-Lopez; Carlos Rodriguez-Medina; María Perera; Beatriz Bellosillo; Silvia de la Iglesia; Teresa Molero; Maria Teresa Gomez-Casares
Journal:  PLoS One       Date:  2014-07-28       Impact factor: 3.240

9.  Detection of KIT mutations in core binding factor acute myeloid leukemia.

Authors:  Passant Badr; Ghada M Elsayed; Dalia Negm Eldin; Bahia Y Riad; Nayera Hamdy
Journal:  Leuk Res Rep       Date:  2018-07-21

10.  A subset of gastrointestinal stromal tumors previously regarded as wild-type tumors carries somatic activating mutations in KIT exon 8 (p.D419del).

Authors:  Sebastian Huss; Helen Künstlinger; Eva Wardelmann; Michaela A Kleine; Elke Binot; Sabine Merkelbach-Bruse; Thomas Rüdiger; Jens Mittler; Wolfgang Hartmann; Reinhard Büttner; Hans-Ulrich Schildhaus
Journal:  Mod Pathol       Date:  2013-04-19       Impact factor: 7.842

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.