Dataset Information

COLD-PCR enhanced melting curve analysis improves diagnostic accuracy for KRAS mutations in colorectal carcinoma.

ABSTRACT:

Background

KRAS mutational analysis is the standard of care prior to initiation of treatments targeting the epidermal growth factor receptor (EGFR) in patients with metastatic colorectal cancer. Sensitive methods are required to reliably detect KRAS mutations in tumor samples due to admixture with non-mutated cells. Many laboratories have implemented sensitive tests for KRAS mutations, but the methods often require expensive instrumentation and reagents, parallel reactions, multiple steps, or opening PCR tubes.

Methods

We developed a highly sensitive, single-reaction, closed-tube strategy to detect all clinically significant mutations in KRAS codons 12 and 13 using the Roche LightCycler® instrument. The assay detects mutations via PCR-melting curve analysis with a Cy5.5-labeled sensor probe that straddles codons 12 and 13. Incorporating a fast COLD-PCR cycling program with a critical denaturation temperature (Tc) of 81°C increased the sensitivity of the assay >10-fold for the majority of KRAS mutations.

Results

We compared the COLD-PCR enhanced melting curve method to melting curve analysis without COLD-PCR and to traditional Sanger sequencing. In a cohort of 61 formalin-fixed paraffin-embedded colorectal cancer specimens, 29/61 were classified as mutant and 28/61 as wild type across all methods. Importantly, 4/61 (6%) were re-classified from wild type to mutant by the more sensitive COLD-PCR melting curve method. These 4 samples were confirmed to harbor clinically-significant KRAS mutations by COLD-PCR DNA sequencing. Five independent mixing studies using mutation-discordant pairs of cell lines and patient specimens demonstrated that the COLD-PCR enhanced melting curve assay could consistently detect down to 1% mutant DNA in a wild type background.

Conclusions

We have developed and validated an inexpensive, rapid, and highly sensitive clinical assay for KRAS mutations that is the first report of COLD-PCR combined with probe-based melting curve analysis. This assay significantly improved diagnostic accuracy compared to traditional PCR and direct sequencing.

SUBMITTER: Pritchard CC

PROVIDER: S-EPMC3001699 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature

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Publications

COLD-PCR enhanced melting curve analysis improves diagnostic accuracy for KRAS mutations in colorectal carcinoma.

Pritchard Colin C CC Akagi Laura L Reddy Poluru L PL Joseph Loren L Tait Jonathan F JF

BMC clinical pathology 20101126

<h4>Background</h4>KRAS mutational analysis is the standard of care prior to initiation of treatments targeting the epidermal growth factor receptor (EGFR) in patients with metastatic colorectal cancer. Sensitive methods are required to reliably detect KRAS mutations in tumor samples due to admixture with non-mutated cells. Many laboratories have implemented sensitive tests for KRAS mutations, but the methods often require expensive instrumentation and reagents, parallel reactions, multiple step ...[more]

PMID: 21110880

Similar Datasets

Project description:BackgroundAnalysis 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.MethodsMutation-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.ResultsDilution 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.ConclusionsCOLD-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.

Dataset Information

COLD-PCR enhanced melting curve analysis improves diagnostic accuracy for KRAS mutations in colorectal carcinoma.

Background

Methods

Results

Conclusions

Publications

COLD-PCR enhanced melting curve analysis improves diagnostic accuracy for KRAS mutations in colorectal carcinoma.

Similar Datasets

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