| Literature DB >> 25318602 |
Inger Marie Løes1, Heike Immervoll, Jon-Helge Angelsen, Arild Horn, Jürgen Geisler, Christian Busch, Per Eystein Lønning, Stian Knappskog.
Abstract
Personalized cancer care requires reliable biomarkers. While the BRAF V600E mutation is implemented in the clinic, no method for its detection has so far been established as reference. We aimed to perform a comprehensive comparison of three methods currently being used for V600E detection in clinical samples. We analysed genomic DNA from 127 malignant melanomas (77 patients) and 389 tumours from 141 colorectal cancer patients (383 liver metastases and 6 primary tumours) by Sanger sequencing and a single probe-based high-resolution melting assay (LightMix). Formalin-fixed paraffin-embedded (FFPE) tissue from a subset of these lesions (n = 77 and 304, respectively) was analysed by immunohistochemistry (IHC) using the V600E-specific antibody VE1. In a dilution series of V600E-mutated DNA in wild-type DNA, the detection limit for the LightMix assay was 1:1000 mutated alleles while it was 1:10 for Sanger sequencing. In line with this, we detected 15 additional mutated melanoma samples and two additional mutated metastatic colorectal cancer samples by the LightMix assay compared to Sanger sequencing. For the melanoma samples, we observed high concordance between DNA-based methods and analysis by IHC. However, in colorectal samples, IHC performed poorly with 12 samples being scored as V600E positive exclusively by IHC and nine samples being scored as V600E negative exclusively by IHC. In conclusion, the VE1 antibody is not recommendable for clinical tests of colorectal cancer samples. For melanoma samples, IHC may be useful as a screening tool guiding further analytical approaches.Entities:
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Year: 2014 PMID: 25318602 PMCID: PMC4342512 DOI: 10.1007/s13277-014-2711-5
Source DB: PubMed Journal: Tumour Biol ISSN: 1010-4283
Fig. 1Flow chart illustrating the number of samples and patients analysed by the three different methods (a; melanoma, b; colorectal cancer). The subset of samples analysed by the LightMix assay for the CRC samples includes both positive and negative samples as characterized by Sanger sequencing as well as all discrepant cases within samples from one patient and between methods (Sanger vs IHC). For direct comparison between methods, we used the 64 melanoma samples and the 99 colorectal samples successfully analysed by all three methods. Notably, two of the melanoma samples were not interpretable by the LightMix assay. Further, 13 of the melanoma samples and 19 of the CRC samples were not interpretable by IHC (for details, see Supplementary Table S1)
Fig. 2Representative examples of immunostaining distribution and intensity observed in metastatic colorectal cancer samples (a–d) and malignant melanoma samples (e–h). Grading from negative to grade 3+ for V600E (left to right). V600K mutated heavily pigmented MM sample (i). TMA section demonstrating the uniform staining throughout all tumour tissue (j). Original magnification: 400× (a–i), 100× in (j)
Fig. 3Electropherograms and melting profiles (from Sanger sequencing (left) and the LightMix assay (right)) for a dilution series containing a ratio of 1:1–1:107 BRAF V600E-mutated DNA in BRAF wild-type DNA. (Only the four dilutions up to 1:103 shown as all higher dilutions gave results resembling wild-type samples)
BRAF V600E mutation screening results in malignant melanoma samples
| Screening results | Number of samples | |||
| wt by all methods | 16 | |||
| V600E by all methods | 37 | |||
| V600K by DNA methods | 4 | |||
| Other exon 15 mutations | 0 | |||
| Discordanta | 7 | |||
| Total | 64 | |||
| aDistribution of results in discordant samples | ||||
| Sample ID | Sanger | LightMix | IHC | Percentage of tumour cells |
| MM10-1 | wt | V600E | V600E | 50 |
| MM25-3 | V600E | V600E | wt | 60 |
| MM61-2 | wt | V600E | V600E | 20 |
| MM61-3 | V600E | V600E | wt | 80 |
| MM61-4 | V600E | V600E | wt | 70 |
| MM71-2 | wt | V600E | wt | <10 |
| MM78-1 | wt | V600E | wt | 30 |
Fig. 4Venn diagrams illustrating the degree of concordance between the three BRAF V600E detection methods evaluated for malignant melanoma samples (a) and colorectal cancer samples (b). Only samples analysed by all three methods and yielding positive results in at least one analysis are included (melanoma: n = 44, colorectal cancer: n = 34)
BRAF V600E mutation screening results in colorectal cancer samples
| Screening results | Number of samples | |||
| wt by all methods | 63 | |||
| V600E by all methods | 12 | |||
| V600K by DNA methods | 0 | |||
| Other exon 15 mutations | 2 | |||
| Discordanta | 22 | |||
| Total | 99 | |||
| aDistribution of results in discordant samples | ||||
| Sample ID | Sanger | LightMix | IHC | Percentage of tumour cells |
| t9-1 | wt | wt | V600E | 100 |
| t9-3 | wt | wt | V600E | 100 |
| t14-1 | wt | wt | V600E | 100 |
| t15-1 | wt | V600E | V600E | 80 |
| t26-5 | wt | wt | V600E | 80 |
| t29-4 | wt | wt | V600E | 100 |
| t30-2 | wt | wt | V600E | 20 |
| t39-1 | V600E | V600E | wt | 100 |
| t39-2 | V600E | V600E | wt | 90 |
| t39-3 | V600E | V600E | wt | 90 |
| t49-2 | wt | wt | V600E | 40 |
| t58-8 | wt | wt | V600E | 50 |
| t64-3 | wt | wt | V600E | 80 |
| t64-4 | wt | wt | V600E | 80 |
| t67-2 | wt | wt | V600E | 20 |
| t75-1 | V600E | V600E | wt | 100 |
| t75-3 | V600E | V600E | wt | 100 |
| t84B-1 | V600E | V600E | wt | 100 |
| t99-2 | V600E | V600E | wt | 100 |
| t99-3 | V600E | V600E | wt | 90 |
| t99-4 | V600E | V600E | wt | 60 |
| t156-1 | wt | wt | V600E | 100 |
Fig. 5Melting curve profiles illustrating the detection of a non-V600E/V600K BRAF mutation (c.1796_1797insTAC) by a shifted melting temperature in the LightMix assay
Cost, time consumption and material input comparison of BRAF V600E detection methods
| Cost per sample (USD) | Time consumption (hands on) | Material used | |
|---|---|---|---|
| Sanger sequencingab | 8 | 9 h (1 h) | 50–100 ng |
| LightMix assayac | 4, 5 | 4 h (1 h) | 100–250 ng |
| Immunohistochemistryd | 20 | 4 h (15 min) | 3–4 μm section |
aTime and costs for DNA isolation not included
bCapillary gel electrophoresis, data collection and sequence analyses were performed on an automated DNA sequencer (ABI 3700)
cAll reactions were run on LigthCycler 480 instrument (Roche), and genotype calling based on melting curves was performed using the LightCycler 480 software release 1.5.1 (Roche)
dThe staining procedure was performed on a Ventana BenchMark XT immunostainer (Ventana Medical Systems)