Validation Strategy for Ultrasensitive Mutation Detection.

BACKGROUND: Ultrasensitive detection of low-abundance DNA point mutations is a challenging molecular biology problem, because nearly identical mutant and wild-type molecules exhibit crosstalk. Reliable ultrasensitive point mutation detection will facilitate early detection of cancer and therapeutic monitoring of cancer patients. OBJECTIVE: The objective of this study was to develop a method to correct errors in low-level cell line mixes. MATERIALS AND METHODS: We tested sample mixes with digital-droplet PCR (ddPCR) and next-generation sequencing. RESULTS: We introduced two corrections: baseline variant allele frequency (VAF) in the parental cell line was used to correct for copy number variation; and haplotype counting was used to correct errors in cell counting and pipetting. We found ddPCR to have better correlation for detecting low-level mutations without applying any correction (R2 = 0.80) and be more linear after introducing both corrections (R2 = 0.99). CONCLUSIONS: The VAF correction was found to be more significant than haplotype correction. It is imperative that various technologies be evaluated against each other and laboratories be provided with defined quality control samples for proficiency testing.

Performance characteristics of next-generation sequencing in clinical mutation detection of colorectal cancers.

Activating mutations in downstream genes of the epidermal growth factor receptor (EGFR) pathway may cause anti-EGFR resistance in patients with colorectal cancers. We present performance characteristics of a next-generation sequencing assay designed to detect such mutations. In this retrospective quality assessment study, we analyzed mutation detected in the KRAS, NRAS, BRAF, and PIK3CA genes by a clinically validated next-generation sequencing assay in 310 colorectal cancer specimens. Tumor cellularity and mutant allele frequency were analyzed to identify tumor heterogeneity and mutant allele-specific imbalance. Next-generation sequencing showed precise measurement of mutant allele frequencies and detected 23% of mutations with 2-20% mutant allele frequencies. Of the KRAS mutations detected, 17% were outside of codons 12 and 13. Among PIK3CA mutations, 48% were outside of codons 542, 545, and 1047. The percentage of tumors with predicted resistance to anti-EGFR therapy increased from 40% when testing for only mutations in KRAS exon 2 to 47% when testing for KRAS exons 2-4, 48% when testing for KRAS and NRAS exons 2-4, 58% when including BRAF codon 600 mutations, and 59% when adding PIK3CA exon 20 mutations. Right-sided colorectal cancers carried a higher risk of predicted anti-EGFR resistance. A concomitant KRAS mutation was detected in 51% of PIK3CA, 23% of NRAS, and 33% of kinase-impaired BRAF-mutated tumors. Lower than expected mutant allele frequency indicated tumor heterogeneity, while higher than expected mutant allele frequency indicated mutant allele-specific imbalance. Two paired neuroendocrine carcinomas and adjacent adenomas showed identical KRAS mutations, but only PIK3CA mutations in neuroendocrine carcinomas. Next-generation sequencing is a robust tool for mutation detection in clinical laboratories. It demonstrates high analytic sensitivity and broad reportable range, and it provides simultaneous detection of concomitant mutations and a quantitative measurement of mutant allele frequencies to predict tumor heterogeneity and mutant allele-specific imbalance.

Tumor cellularity as a quality assurance measure for accurate clinical detection of BRAF mutations in melanoma.

BACKGROUND: Detection of BRAF mutations is an established standard of care to predict small-molecule inhibitor (vemurafenib) response in metastatic melanoma. Molecular assays should be designed to detect not only the most common p.V600E mutation, but also p.V600K and other non-p.V600E mutations. OBJECTIVE: The purpose of this study was to assess if tumor cellularity can function as a quality assurance (QA) measure in molecular diagnostics. Potential causes of discrepancy between the observed and predicted mutant allele percentage were also explored. METHODS: We correlated pathologist-generated estimates of tumor cellularity versus mutant allele percentage via pyrosequencing as a QA measure for BRAF mutation detection in formalin-fixed, paraffin-embedded melanoma specimens. RESULTS: BRAF mutations were seen in 27/62 (44 %) specimens, with 93 % p.V600E and 7 % non-p.V600E. Correlation between p.V600E mutant percentage and tumor cellularity was poor-moderate (r = -0.02; p = 0.8), primarily because six samples showed a low p.V600E signal despite high tumor cellularity. A QA investigation revealed that our initial pyrosequencing assay showed a false positive, weak p.V600E signal in specimens with a p.V600K mutation. A redesigned assay detected BRAF mutations in 50/131 (38 %) specimens, including 30 % non-p.V600E. This revised assay showed strong correlation between p.V600E BRAF mutant percentage and tumor cellularity (r = 0.76; p ≤ 0.01). Re-evaluation of the previously discordant samples by the revised assay confirmed a high level of p.V600K mutation in five specimens. CONCLUSIONS: Pathologists play important roles in molecular diagnostics, beyond identification of correct cells for testing. Accurate evaluation of tumor cellularity not only ensures sufficient material for required analytic sensitivity, but also provides an independent QA measure of the molecular assays.