Literature DB >> 19815609

COLD-PCR-enhanced high-resolution melting enables rapid and selective identification of low-level unknown mutations.

Coren A Milbury1, Jin Li, G Mike Makrigiorgos.   

Abstract

BACKGROUND: Analysis of clinical samples often necessitates identification of low-level somatic mutations within wild-type DNA; however, the selectivity and sensitivity of the methods are often limiting. COLD-PCR (coamplification at lower denaturation temperature-PCR) is a new form of PCR that enriches mutation-containing amplicons to concentrations sufficient for direct sequencing; nevertheless, sequencing itself remains an expensive mutation-screening approach. Conversely, high-resolution melting (HRM) is a rapid, inexpensive scanning method, but it cannot specifically identify the detected mutation. To enable enrichment, quick scanning, and identification of low-level unknown mutations, we combined COLD-PCR with HRM mutation scanning, followed by sequencing of positive samples.
METHODS: Mutation-containing cell-line DNA serially diluted into wild-type DNA and DNA samples from human lung adenocarcinomas containing low-level mutations were amplified via COLD-PCR and via conventional PCR for TP53 (tumor protein p53) exons 6-8, and the 2 approaches were compared. HRM analysis was used to screen amplicons for mutations; mutation-positive amplicons were sequenced.
RESULTS: Dilution experiments indicated an approximate 6- to 20-fold improvement in selectivity with COLD-PCR/HRM. Conventional PCR/HRM exhibited mutation-detection limits of approximately 2% to 10%, whereas COLD-PCR/HRM exhibited limits from approximately 0.1% to 1% mutant-to-wild-type ratio. After HRM analysis of lung adenocarcinoma samples, we detected 7 mutations by both PCR methods in exon 7; however, in exon 8 we detected 9 mutations in COLD-PCR amplicons, compared with only 6 mutations in conventional-PCR amplicons. Furthermore, 94% of the HRM-detected mutations were successfully sequenced with COLD-PCR amplicons, compared with 50% with conventional-PCR amplicons.
CONCLUSIONS: COLD-PCR/HRM improves the mutation-scanning capabilities of HRM and combines high selectivity, convenience, and low cost with the ability to sequence unknown low-level mutations in clinical samples.

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Year:  2009        PMID: 19815609      PMCID: PMC2828872          DOI: 10.1373/clinchem.2009.131029

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  33 in total

1.  High-resolution melt curve analysis: initial screening for mutations in BCR-ABL kinase domain.

Authors:  Katerina Machová Poláková; Tereza Lopotová; Hana Klamová; Jana Moravcová
Journal:  Leuk Res       Date:  2008-03-04       Impact factor: 3.156

2.  Replacing PCR with COLD-PCR enriches variant DNA sequences and redefines the sensitivity of genetic testing.

Authors:  Jin Li; Lilin Wang; Harvey Mamon; Matthew H Kulke; Ross Berbeco; G Mike Makrigiorgos
Journal:  Nat Med       Date:  2008-04-13       Impact factor: 53.440

3.  Rapid and sensitive detection of BRCA1/2 mutations in a diagnostic setting: comparison of two high-resolution melting platforms.

Authors:  Kim De Leeneer; Ilse Coene; Bruce Poppe; Anne De Paepe; Kathleen Claes
Journal:  Clin Chem       Date:  2008-04-10       Impact factor: 8.327

4.  Quadruplex genotyping of F5, F2, and MTHFR variants in a single closed tube by high-resolution amplicon melting.

Authors:  Michael T Seipp; David Pattison; Jacob D Durtschi; Mohamed Jama; Karl V Voelkerding; Carl T Wittwer
Journal:  Clin Chem       Date:  2007-11-02       Impact factor: 8.327

5.  High-throughput amplicon scanning of the TP53 gene in breast cancer using high-resolution fluorescent melting curve analyses and automatic mutation calling.

Authors:  Roy Bastien; Tracey B Lewis; Jason E Hawkes; John F Quackenbush; Thomas C Robbins; Juan Palazzo; Charles M Perou; Philip S Bernard
Journal:  Hum Mutat       Date:  2008-05       Impact factor: 4.878

6.  Detection of epidermal growth factor receptor gene mutations in cytology specimens from patients with non-small cell lung cancer utilising high-resolution melting amplicon analysis.

Authors:  G D Smith; B E Chadwick; C Willmore-Payne; J S Bentz
Journal:  J Clin Pathol       Date:  2007-10-01       Impact factor: 3.411

7.  Identifying common genetic variants by high-resolution melting.

Authors:  Joshua G Vandersteen; Pinar Bayrak-Toydemir; Robert A Palais; Carl T Wittwer
Journal:  Clin Chem       Date:  2007-05-24       Impact factor: 8.327

8.  High resolution melting for mutation scanning of TP53 exons 5-8.

Authors:  Michael Krypuy; Ahmed Ashour Ahmed; Dariush Etemadmoghadam; Sarah J Hyland; Anna DeFazio; Stephen B Fox; James D Brenton; David D Bowtell; Alexander Dobrovic
Journal:  BMC Cancer       Date:  2007-08-31       Impact factor: 4.430

9.  Comparison of multiple DNA dyes for real-time PCR: effects of dye concentration and sequence composition on DNA amplification and melting temperature.

Authors:  Haukur Gudnason; Martin Dufva; D D Bang; Anders Wolff
Journal:  Nucleic Acids Res       Date:  2007-09-26       Impact factor: 16.971

10.  High resolution melting analysis for rapid and sensitive EGFR and KRAS mutation detection in formalin fixed paraffin embedded biopsies.

Authors:  Hongdo Do; Michael Krypuy; Paul L Mitchell; Stephen B Fox; Alexander Dobrovic
Journal:  BMC Cancer       Date:  2008-05-21       Impact factor: 4.430

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  31 in total

1.  DMSO Increases Mutation Scanning Detection Sensitivity of High-Resolution Melting in Clinical Samples.

Authors:  Chen Song; Elena Castellanos-Rizaldos; Rafael Bejar; Benjamin L Ebert; G Mike Makrigiorgos
Journal:  Clin Chem       Date:  2015-10-02       Impact factor: 8.327

2.  Multiplex amplification coupled with COLD-PCR and high resolution melting enables identification of low-abundance mutations in cancer samples with low DNA content.

Authors:  Coren A Milbury; Clark C Chen; Harvey Mamon; Pingfang Liu; Sandro Santagata; G Mike Makrigiorgos
Journal:  J Mol Diagn       Date:  2011-03       Impact factor: 5.568

3.  The use of COLD-PCR and high-resolution melting analysis improves the limit of detection of KRAS and BRAF mutations in colorectal cancer.

Authors:  Irene Mancini; Claudio Santucci; Roberta Sestini; Lisa Simi; Nicola Pratesi; Fabio Cianchi; Rosa Valanzano; Pamela Pinzani; Claudio Orlando
Journal:  J Mol Diagn       Date:  2010-07-08       Impact factor: 5.568

Review 4.  COLD-PCR Technologies in the Area of Personalized Medicine: Methodology and Applications.

Authors:  Florence Mauger; Alexandre How-Kit; Jörg Tost
Journal:  Mol Diagn Ther       Date:  2017-06       Impact factor: 4.074

5.  COLD-PCR enrichment of rare cancer mutations prior to targeted amplicon resequencing.

Authors:  Coren A Milbury; Mick Correll; John Quackenbush; Renee Rubio; G Mike Makrigiorgos
Journal:  Clin Chem       Date:  2011-12-21       Impact factor: 8.327

6.  Single-tube, highly parallel mutation enrichment in cancer gene panels by use of temperature-tolerant COLD-PCR.

Authors:  Elena Castellanos-Rizaldos; Katherine Richardson; Rui Lin; Grant Wu; Mike G Makrigiorgos
Journal:  Clin Chem       Date:  2014-10-08       Impact factor: 8.327

7.  COLD-PCR: improving the sensitivity of molecular diagnostics assays.

Authors:  Coren A Milbury; Jin Li; Pingfang Liu; G Mike Makrigiorgos
Journal:  Expert Rev Mol Diagn       Date:  2011-03       Impact factor: 5.225

8.  Potential clinical significance of plasma-based KRAS mutation analysis using the COLD-PCR/TaqMan(®) -MGB probe genotyping method.

Authors:  Peijia Liu; Hongyan Liang; Li Xue; Chun Yang; Yang Liu; Kun Zhou; Xiaofeng Jiang
Journal:  Exp Ther Med       Date:  2012-05-02       Impact factor: 2.447

9.  KRAS (but not BRAF) mutations in ovarian serous borderline tumour are associated with recurrent low-grade serous carcinoma.

Authors:  Yvonne T Tsang; Michael T Deavers; Charlotte C Sun; Suet-Yan Kwan; Eric Kuo; Anais Malpica; Samuel C Mok; David M Gershenson; Kwong-Kwok Wong
Journal:  J Pathol       Date:  2013-12       Impact factor: 7.996

10.  NRAS mutations with low allele burden have independent prognostic significance for patients with lower risk myelodysplastic syndromes.

Authors:  D M Murphy; R Bejar; K Stevenson; D Neuberg; Y Shi; C Cubrich; K Richardson; P Eastlake; G Garcia-Manero; H Kantarjian; B L Ebert; G Mike Makrigiorgos
Journal:  Leukemia       Date:  2013-05-27       Impact factor: 11.528

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