Extreme assay sensitivity in molecular diagnostics further unveils intratumour heterogeneity in metastatic colorectal cancer as well as artifactual low-frequency mutations in the KRAS gene

Analytical Evaluation of an NGS Testing Method for Routine Molecular Diagnostics on Melanoma Formalin-Fixed, Paraffin-Embedded Tumor-Derived DNA

Next Generation Sequencing (NGS) is a promising tool for the improvement of tumor molecular profiling in view of the identification of a personalized treatment in oncologic patients. To verify the potentiality of a targeted NGS (Ion AmpliSeq™ Cancer Hotspot Panel v2), selected melanoma samples (n = 21) were retrospectively analyzed on S5 platform in order to compare NGS performance with the conventional techniques adopted in our routine clinical setting (Sequenom MassARRAY system, Sanger sequencing, allele-specific real-time PCR). The capability in the identification of rare and low-frequency mutations in the main genes involved in melanoma (BRAF and NRAS genes) was verified and integrated with the results deriving from other oncogenes and tumor suppressor genes. The analytical evaluation was carried out by the analysis of DNA derived from control cell lines and FFPE (Formalin-Fixed, Paraffin-Embedded) samples to verify that the achieved resolution of uncommon mutations and low-frequency variants was suitable to meet the technical and clinical requests. Our results demonstrate that the amplicon-based NGS approach can reach the sensitivity proper of the allele-specific assays together with the high specificity of a sequencing method. An overall concordance among the tested methods was observed in the identification of classical and uncommon mutations. The assessment of the quality parameters and the comparison with the orthogonal methods suggest that the NGS method could be implemented in the clinical setting for melanoma molecular characterization.

Mutations of key driver genes in colorectal cancer progression and metastasis

The association between mutations of key driver genes and colorectal cancer (CRC) metastasis has been investigated by many studies. However, the results of these studies have been contradictory. Here, we perform a comprehensive analysis to screen key driver genes from the TCGA database and validate the roles of these mutations in CRC metastasis. Using bioinformatics analysis, we identified six key driver genes, namely APC, KRAS, BRAF, PIK3CA, SMAD4 and p53. Through a systematic search, 120 articles published by November 30, 2017, were included, which all showed roles for these gene mutations in CRC metastasis. A meta-analysis showed that KRAS mutations (combined OR 1.18, 95% CI 1.05-1.33) and p53 mutations (combined OR 1.49, 95% CI 1.23-1.80) were associated with CRC metastasis, including lymphatic and distant metastases. Moreover, CRC patients with a KRAS mutation (combined OR 1.29, 95% CI 1.13-1.47), p53 mutation (combined OR 1.35, 95% CI 1.06-1.72) or SMAD4 mutation (combined OR 2.04, 95% CI 1.41-2.95) were at a higher risk of distant metastasis. Subgroup analysis stratified by ethnic populations indicated that the BRAF mutation was related to CRC metastasis (combined OR 1.42, 95% CI 1.18-1.71) and distant metastasis (combined OR 1.51, 95% CI 1.20-1.91) in an Asian population. No significant association was found between mutations of APC or PIK3CA and CRC metastasis. In conclusion, mutations of KRAS, p53, SMAD4 and BRAF play significant roles in CRC metastasis and may be both potential biomarkers of CRC metastasis as well as therapeutic targets.

Awareness of mutational artefacts in suboptimal DNA samples: possible risk for therapeutic choices

BACKGROUND

Technical biases due to PCR artefacts could represent an insidious obstacle for mutational analysis and precision medicine.

METHODS

The authors report a retrospective analysis by fast COLD-PCR and sequencing of 31 suboptimal tumor DNA samples obtained from FFPE tissues and liquid biopsies.

RESULTS

In FFPE tumor tissues and plasma liquid biopsies of patients with lung and colorectal adenocarcinoma, we observed a significant rate of artefactual KRAS mutations, unveiled by repeated analysis following UDG pretreatment as well as by simple repetition without UDG pretreatment step, thus suggesting a DNA damage different from cytosine deamination. UDG pretreatment was not only unnecessary to contrast artefacts occurrence, but also hampered the efficiency of mutational screening, reducing the analytical sensitivity. Taken individually or considered together, the reduced DNA input per reaction and UDG pretreatment limited the detection of 'real' mutated alleles, decreasing PCR sensitivity enough to hamper distinction between artefactual and true subclonal mutations of KRAS.

CONCLUSIONS

Careful validation of analytical sensitivities should always be carried out through standard controls, and strategies other than UDG pretreatment need to be identified to avoid both amplification of artefactual mutations and failure to identify real subclonal mutations.

A HRM assay for identification of low level BRAF V600E and V600K mutations using the CADMA principle in FFPE specimens

Melanoma patients with BRAF V600E and V600K mutations show complete or partial response to vemurafenib. Detection assays often scan for the common V600E mutation rather than the rare V600K variant, although this mutation can be found in a high proportion of melanoma patients in the South Pacific. Herein, we describe a BRAF high resolution melting (HRM) assay that can differentiate low level of V600E and V600K mutations using formalin fixed, paraffin embedded (FFPE) reference standards for assay validation. The assay is based on the competitive amplification of differentially melting amplicons (CADMA principle) and has a limit of detection of 0.8% mutant allele for V600K and 1.4% mutant allele for V600E. A differentiation between the two mutations based on the melting profile is possible even at low mutation level. Sixty FFPE specimens were scanned and mutations could be scored correctly as confirmed by castPCR. In summary, the developed HRM assay is suitable for detection of V600K and V600E mutations and proved to be reliable and cost effective in a diagnostic environment.