Mutations in the BRAF gene at or near the p. V600 locus are informative for therapy selection, but current methods for analyzing FFPE tissue DNA generally have a limit of detection of 5% variant allele frequency (VAF), or are limited to the single variant (V600E). These can result in false negatives for samples with low VAFs due to low tumor content or subclonal heterogeneity, or harbor non-V600 mutations. Here, we show that Sanger sequencing using the NuProbe VarTraceTM BRAF assay, based on the Blocker Displacement Amplification (BDA) technology, is capable of detecting BRAF V600 mutations down to 0.26% VAF from FFPE lymph node tissue samples. Comparison experiments on adjacent tissue sections using BDA Sanger, immunohistochemistry (IHC), digital droplet PCR (ddPCR), and NGS showed 100% concordance among all 4 methods for samples with BRAF mutations at ≥1% VAF, though ddPCR did not distinguish the V600K mutation from the V600E mutation. BDA Sanger, ddPCR, and NGS (with orthogonal confirmation) were also pairwise concordant for lower VAF mutations down to 0.26% VAF, but IHC produced a false negative. Thus, we have shown that Sanger sequencing can be effective for rapid detection and quantitation of multiple low VAF BRAF mutations from FFPE samples. BDA Sanger method also enabled detection and quantitation of less frequent, potentially actionable non-V600 mutations as demonstrated by synthetic samples.
Research Article
High Sensitivity Sanger Sequencing Detection of BRAF Mutations in Metastatic Melanoma FFPE Tissue Specimens
https://doi.org/10.21203/rs.3.rs-109681/v1
This work is licensed under a CC BY 4.0 License
Journal Publication
published 27 Apr, 2021
You are reading this latest preprint version
BRAF
VAF
immunohistochemistry (IHC)
digital droplet PCR (ddPCR)
Melanoma is the most aggressive of the common forms of skin cancer [1]. Treatment options for metastatic melanoma have increased drastically with development of immunotherapies and targeted therapies [2, 3]. Immunotherapies (e.g. cytokines, PD-1 or PD-L1 inhibitors) can produce long-lasting responses but are only effective in a small fraction of patients [4–7]. Targeted therapies have been shown to be highly effective for people with specific oncogene mutations. In melanoma, the BRAF-V600E mutation, for example, is present in roughly 50% of patients [8, 9], and is indicative of positive clinical response to BRAF inhibitors [10–16]. To date, the detection of the BRAF-V600E mutation by a certified assay is required in order for stage IV metastatic melanoma patients to be prescribed targeted therapy treatment with dabrafenib and trametinib (FDA approval, 2014), vemurafenib and cobimetinib (FDA approval, 2015), or encorafenib and binimetinib (FDA approval, 2018).
A subset of melanomas harbor non-BRAF p. V600E mutations in codon 600 or its proximity (e.g. p. L597Q & K601E) [17– 19], and studies have shown efficacy for targeted therapies in metastatic melanoma patients with mutations that affect other residues in BRAF [20–23], albeit at a lower response rate compared to V600E mutated cases [24]. These non-V600E mutations are not generally detectable by commercial qPCR and digital PCR molecular diagnostic assays. For example, commercially available FDA cleared BRAF quantitative PCR (qPCR) mutations tests, such as cobas 4800 BRAF V600 Mutation Test, THXID BRAF Kit, and therascreen BRAF V600E RGQ PCR Kit, cannot detect mutations below 1% and do not cover non-V600 mutations. The Droplet Digital PCRTM (ddPCR) V600 Screening Kit by Bio-Rad detects (but does not distinguish among) the p. V600E/K/R mutations, and likewise does not detect mutations in the 597 or 601 codons. Immunohistochemistry (IHC), considered the gold standard for clinical evaluation of BRAF V600E mutations, is also specific to just the BRAF p. V600E mutation.
Sequencing based methods are capable of detecting many different potential BRAF mutations. Sanger sequencing, widely accepted in the pathology laboratories, can detect the full range of BRAF mutations but is limited in sensitivity to mutations with greater than 20% VAF. High-throughput sequencing-by-synthesis (NGS) significantly improves the VAF sensitivity, but still requires orthogonal confirmation for mutations below 5% variant allele frequency (VAF). Additionally, NGS has a turnaround time of roughly 1 week and is not economical for mutation analysis of a single hotspot. Thus, although multiple methods exist for BRAF mutation detection in DNA extracted from FFPE samples, they all under-serve the clinical need of rapid, sensitive, and comprehensive detection of actionable BRAF mutations (Fig.1).
Here, we evaluate the effectiveness of high sensitivity Sanger sequencing for detection of low VAF BRAF mutations. We use the NuProbe VarTraceTM BRAF assay, in which Blocker Displacement Amplification (BDA) selectively amplifies BRAF DNA sequence variants [25-27]. Importantly, this approach can detect and quantitate more than 50 BRAF mutations in codons 596-601 (Table. S1) with 0.1% VAF limit of detection (LOD). We tested 12 formalin-fixed paraffin-embedded (FFPE) sentinel lymph node biopsy (SLNB) or completion lymph node dissection (CLND) samples from 7 patients using 4 different methods (BDA Sanger, ddPCR, NGS, and IHC) and found high concordance for BRAF mutations down to 0.26% VAF. Based on our BDA Sanger findings, we further ruled out non-V600 mutations in these samples at ≥0.2% VAF; other methods did not provide this information so it was not possible to evaluate concordance. The short 1-day turnaround renders the BDA Sanger approach attractive for clinical decision-making, and the improved sensitivity further obviates the need for tissue macrodissection, saving pathologist time.
Patients and Study Materials Seven patients with cutaneous melanoma were retrospectively selected with the approval of the Institutional Review Board at the the University of Texas MD Anderson Cancer Center. All methods were carried out in accordance with relevant guidelines and regulations, and informed consent was obtained from all subjects. Tissue specimens were collected via SLNB or CLND and prepared as FFPE blocks. 10 μm-thick serial sections were cut from FFPE blocks and collected on glass slides. A hematoxylin-and-eosin (H&E) stained slide was assessed by pathologists to mark tumor areas for each patient sample. For macrodissected samples, non-tumor cells were scrapped off using the H&E stained slides as reference. Samples for NGS, IHC, BDA Sanger and ddPCR assays were taken from the same biopsy or dissected tissue so adjacent slides were typically used for different analysis. BDA Sanger and ddPCR analysis aliquoted from the same DNA extract.
DNA Extraction from FFPE Specimens DNA extraction from FFPE specimens was performed using QIAamp DNA FFPE Tissue Kit (Qiagen, 56404) according to manufacturer’s protocol. DNA was eluted in approximately 15 μl of elution buffer. The yield and purity were measured by a NanoDrop spectrophotometer. DNA materials were stored at -20 °C until ready for analysis.
Reference Material Preparation 50% BRAF V600E Reference Standard was purchased from Horizon Discovery (HD238) and was diluted with WT genomic DNA (Coriell, NA18537) to prepare reference samples of 10%, 5%, 3%, 1%, 0.5%, 0.2% and 0.1%. Synthetic gBlocks from IDT served as positive sample materials for the following non-V600E mutations: L597Q, L597R, L597S, V600K, V600R, and K601E. After serial dilutions using Carrier RNA (Qiagen, 1017647) solution as diluent to prevent adsorption to plasticware, synthetic gBlock concentration were estimated by qPCR, and then gBlocks were diluted to approximately 10,000 molecules/μl.
The Ct values of the synthetic gBlocks were compared to the Ct values of 50 ng per well gDNA assayed with the same primers, and the concentrations of the synthetic templates were estimated based on the Ct differences. Based on estimated molecular concentrations, 10% of reference samples were prepared by mixing quantitated gBlock and WT gDNA, and lower VAF reference samples were prepared by further diluted 10% reference samples with WT genomic DNA. To verify whether the mutation spike-ins were accurate, NGS libraries were constructed from 10% reference samples via PCR and ligation of PCR product using NEBNext®UltraTM II DNA Library Prep Kit for Illumina®(E7645S) according to manufacturer’s protocol and sequenced on Illumina Miseq with greater than 10,000 depth for each sample. The sample VAF values were then corrected if NGS VAFs were off by more than 20%.
VarTraceTMBDA qPCR Assay qPCR assay was performed according to user manual. Roughly 40 ng of FFPE-derived DNA in 6 μl were loaded as input into each reaction, and the BDA qPCR was performed on a Bio-Rad CFX96 instrument. BDA qPCR products were purified with ExoSAP-ITTM Express PCR Product Cleanup Reagents (Thermo Fisher, 75001) to digest residual primers and deactivate dNTPs. Cycle sequencing was performed using BigDyeTM Terminator v3.1 Cycle Sequencing Kit (Thermo Fisher, 4337455). BigDyeTM Terminator 3.1 Ready Reaction Mix, BigDyeTM Terminator v1.1 & v3.1 5X Sequencing buffer, uni-directional sequencing primer, purified PCR product and nuclease-free water were mixed, and the total volume was 10 μl per reaction. Thermo cycling program started with 1min polymerase activation at 96 °C, followed by 25 repeated cycles of 10s at 96 °C for DNA denature, 5s at 50 °C for annealing, and 2min at 60 °C for extension, and the samples were held at 4 °C until ready to purify (96 °C:1 min–(96 °C:10 s–50 °C:5s–60 °C:2 min) x 25–4 °C:hold). Ab1 files were read by A Plasmic Editor (ApE) software and mutation status was visually inspected by comparing Sanger traces with WT reference sequence at loci of interest.
For reference samples, BDA qPCR experiments used 30 ng of synthetic spike-in DNA with VAFs ranging from 100% down to 0.1%, and 30 ng of wild-type (WT) gDNA. Differences in Ct values from two reactions (termed Cq) were calculated and linear fit was implemented for Cq vs. log10(VAF) using Matlab Curve fitting application. The fitted linear coefficients established the formula (Cq = k * log10(VAF) + b, where k and b are fitted linear coefficients) for each mutation to calculate sample’s original VAF from qPCR Cq readout.
BRAF V600 ddPCR quantitation ddPCRTM BRAF V600 Screening Kit (Bio-Rad, 12001037) was used to quantitate hotspot BRAF V600 mutations following methods described in [25]. 20 μl of reaction mix containing 2x ddPCR Supermix, 20x BRAF V600 Screening Assay and roughly 40 ng of DNA sample were prepared and added to the DG8 cartridges (Bio-Rad, 1864008). With the addition of 70 μl Droplet Generation Oil for Probes (Bio-Rad, 1863005), QX200 Droplet Generator (Bio-Rad, 10031907) was used to produce droplet emulsion. Then PCR started with 10 min at 95 °C, followed by 40 cycles of 30s at 94 °C for DNA denaturing and 1 min at 55 °C for annealing/extension, and ended with 10 min at 98 °C. The plate was then read by a QX200 Droplet Reader (Bio-Rad, 1864003) to collect droplet florescence data.
NGS Mutation Analysis Macrodissected, tumor-enriched FFPE specimens were submitted to MD Anderson Molecular Diagnostic Laboratory for NGS analysis using the CMS46 panel (Ion Torrent), CMS50 panel (Ion Torrent), or Solid Tumor Genomics Assay v1 (Illumina). Each NGS assay’s LOD for BRAF V600E was roughly 5% VAF. For samples with suspected BRAF mutations at below 5% VAF, an orthogonal NGS assay was used, and BRAF V600E mutation was qualitatively reported only if the orthogonal assay confirmed the mutation.
anti-BRAF V600E Staining and Imaging BRAF V600E IHC staining with anti-BRAF V600E (clone VE1) was performed as previously described in ref. [28]. In short, clone VE1 (Spring Bioscience) was diluted 50x and staining and imaging were done on an automated IHC staining instrument (Bond, Leica Biosystems).
Image Analysis Aperio Cytoplasmic v2 algorithm was used to analyze anti-BRAF-stained images and quantitate expression of the variant BRAF protein. The “Cytoplasm: Percent Positive Cells” algorithm result was reported as percentage of cells carrying the BRAF V600E mutation.
Metastatic tumor cells residing in lymph nodes are surrounded by a large number of leukocytes and stroma cells that do not contain genetic alterations, resulting in low tumor fraction. Furthermore, tumor genetic profile can evolve over time under various selective pressures, leading to tumor heterogeneity [27, 29, 30]. Consequently, actionable mutations can be at low VAFs, and assays with poor VAF limits of detection can exhibit clinical false negatives that deprive patients from optimal targeted therapies. To mitigate this problem, clinical pathology labs may enrich tumor content through labor- or capital-intensive macrodissection or laser microdissection. However, these approaches cannot overcome tumor subclonal heterogeneity developed by various tumor evolution mechanisms. Thus, an assay that detects a range of BRAF mutations with LOD below VAF of 1% will likely produce higher clinical sensitivity than current clinical practice. With the BDA Sanger approach, a range of BRAF mutations are detected in FFPE tissue-derived DNA with VAF down to 0.26%.
Analytical and clinical validation of BRAF V600E mutation. We first validated the performance of the BDA BRAF assay on detecting and quantitating the most common BRAF V600E mutation using Horizon Discovery reference materials and synthetic DNA strands. We ran the BRAF assays on reference materials with VAF values ranging from 0.1% to 100%. Two reactions were performed for each sample, one for selective variant enrichment and the other for input quantitation. The normalized result from taking the difference of the two Ct values (Cq) is independent of DNA input and can be used to determine the mutation’s VAF. Higher VAFs in the reference material were reflected as earlier amplification and thus lower Cq values (Fig. S1a).
Cq values and log VAFs exhibited linear correlation with an R2 greater than 0.99 for V600E. The equation derived from the linear fitting was used to quantitate unknown VAFs in the original sample (Fig. S1b). Median Cq value of 0.1% reference sample was 10.2, and that of WT sample was 11.8, and value of Cq for WT was always at least 1.0 higher than that of the V600E sample at 0.1% VAF (Fig. S1b). The Sanger sequencing trace of the qPCR amplicon product showed V600E at roughly 50% after BDA enrichment (Fig. S1c), confirming the identity of the mutation.
Next, we applied the BDA BRAF assay to 12 FFPE SLNB or CLND samples from seven metastatic melanoma patients. For 5 of the patients, we prepared paired tumor-enriched/not enriched FFPE samples; paired tissues for other two patients were not available (Table. 1). Results showed that 7 FFPE specimens from 4 patients (patient 1-4) had V600E mutations with VAFs ranging from 0.26% to 38.30%. The two specimens from patient 6 were identified as V600-WT. The remaining two specimens from patient 5 had two separate G>A variants (Fig. S2d) that are characteristic of deamination damage associated with FFPE treatment and storage. Because the incidence of two G>A mutations appearing simultaneously in the same sample in such close proximity is low, we do not believe these are real mutations. More generally, identification of multiple G>A or C>T mutations in the same sample in close proximity are likely to be hallmarks of unrepaired FFPE damage.
We also performed ddPCRTM BRAF V600 screening kit from BioRad, anti-BRAF V600E IHC staining and NGS on matched tumor samples from the same individuals (Table. 1). For a low tumor fraction sample of patient 1 (Fig. 2a), macrodissection was able to increase tumor fraction as seen in both BDA quantification results (Fig. 2b, 2d) and ddPCR results (Fig. 2c, 2e). The lowest VAF detected by BDA assay was 0.26% in sample 129292, which had VAF of 0.36% assayed by ddPCR. Sanger trace of the same sample showed that the ultra-low level variant was enriched by BDA assay to approximately 50% (Fig. 2f-h), allowing Sanger to visualize low level mutations. For all V600E-positive specimens identified by BDA assay, ddPCR results were all positive and showed high quantitative concordance with BDA assay even at VAF levels lower than 1% (Table. 1, Fig. 3). ddPCR did not detect any variant molecule in samples with no BRAF V600 mutation according to BDA assay. Nevertheless, suspected FFPE damages at nearby loci were not detected by ddPCR as it could not detect mutations outside codon 600 (Fig. S2d).
For samples with mutation VAFs greater than 1%, BDA Sanger, ddPCR, and IHC all had high quantitative concordance. For example, sample 129288 had VAF of 38.30% identified by BDA, which is consistent with a heterozygous mutation in 81.05% of cells identified through IHC (Table.1) It is also worth noting that IHC could not be used to find V600E positive cells for patient 6, because it was pigmented and melanin produced similar brown color that would be mistaken as positively stained in DAB (3,3’-diaminobenzidine) detection system (Fig. 2i). All three molecular diagnostic approaches (BDA Sanger, ddPCR, and NGS) do not have this limitation (Fig. 2j-k).
The BRAF mutation status for these samples were qualitatively reported by MD Anderson Molecular Diagnostic Laboratory, which applied one of three separate targeted NGS panels on the Ion Torrent or Illumina NGS platforms [32]. These panels typically have a limit of detection of about 5% VAF, but given the importance of the BRAF V600E mutation, samples with sub-threshold V600E VAFs were re-analyzed by a second NGS panel using a different sequencing platform. Because Illumina and Ion Torrent are based on different detection principles (optical fluorescence vs. pH) and have different error profiles, it was unlikely that the same false positive variants would appear in both platforms. Thus, if a sample analyzed by both NGS platforms contained reads supporting the V600E mutation, then the mutation was called regardless of implied VAF.
Analytical and clinical characterization of BRAF non-V600E mutations. Based on the COSMIC database, more than 10% of BRAF mutations in melanoma are non-V600E mutations (Fig. 4a) and some (i.e., V600R, L597Q/R/S, K601E) have been recently reported to be associated with efficacy of BRAF inhibitor therapy [24]. The BDA Sanger assay is in principle capable of detecting these mutations, and the lack of corresponding mutation peaks indicates that the 12 samples tested are likely negative for all other BRAF mutations in this region.
To confirm the presumed result, we performed analytical validation of the BDA Sanger assay using spike-in reference samples with the L597R, L597Q, L597S, V600K, V600R, and K601E mutations (Fig. 4b-4g). The limit of detection for all tested mutations were no worse than 0.5% VAF, and for most mutations 0.1% VAF would be confidently called based on qPCR Cq value alone (Fig. 4b-4g). The quantitation formula generated from linear fitting varied for different mutations, suggesting that the variant enrichment performance was mutation-specific.
The BRAF V600K mutation is covered by the ddPCR BRAF V600 screening kit; consequently, the BDA Sanger and ddPCR assays were concordant for sample 129538 from patient 7 (Fig. 4h). However, because ddPCR is limited to a single fluorescence color channel for reporting all mutations in the kit, the V600K mutation in patient 7 could not be distinguished from the V600E mutations in patients 1 through 4.
In this work, we demonstrated that the BDA Sanger approach can detect and quantify BRAF mutations in codons 596-601 with sensitivity down to 0.26% VAF in clinical FFPE samples. Although the samples we tested did not contain them, the method is also capable of detecting less frequent, potentially actionable mutations such as L597R, L597Q, L597S, V600K, V600R, and K601E. Future studies with larger cohorts will be important for studying the incidence of non-V600 BRAF mutations in melanoma patients, and the impact of such mutations on the outcomes of patients with BRAF inhibitor or other targeted therapies.
DNA deamination damage in FFPE tissue samples is a well-documented phenomenon [33], and generally the amount of damage correlates with the age of the sample. Thus, we expect that the VAF limit of detection may be bottlenecked by FFPE damage for older samples. Fresh/frozen tumor tissue samples would not have this limitation, and thus could potentially allow even better VAF limits of detection. However, fresh/frozen tumor tissue are not typically available as part of the standard clinical workflow, particularly as part of retrospective cohorts.
The rapid turnaround of the qPCR and Sanger workflows allow same day results reporting, which is not currently achievable by NGS. Furthermore, the high sensitivity of the assay simplifies tumor tissue analysis by eliminating the need to perform macro-/micro-dissection to enrich tumor fraction. For the three BRAF mutation positive patient samples in which we had both non-macrodissected and macrodissected tissues, the VAF for the latter was observed to be 1.57, 1.05 and 4.00 times as high as the former. The variation in enrichment is believed to be primarily due to differential tissue composition. Since macro-/micro-dissection is time-consuming, elimination of this step without loss of clinical sensitivity could reduce the total turnaround time.
BRAF mutations are also frequently observed in many other cancer types, including thyroid gland papillary carcinoma, colon adenocarcinoma, lung adenocarcinoma, breast invasive ductal carcinoma, and bladder urothelial carcinoma [34]. The high sensitivity of the BDA Sanger assay, combined with the short amplicon lengths, render it potentially effective for guiding therapy from multiple biospecimen types. For patients where tumor biopsy tissue samples are unavailable, “liquid” biopsy analysis based on cell-free DNA in peripheral blood plasma, saliva, or urine may serve as an effective substitute [35, 36].
Acknowledgements The work was funded by NIH grant number R01CA203964 and CPRIT grant number RP180147 to DYZ. This work was also supported by the U.S. Army Medical Research Acquisition Activity, 820 Chandler Street, Fort Detrick MD 21702-5014 through the FY17, PRCRP, Translational Team Science Award under Award No(s) W81XWH1810144, W81XWH1810145, and W81XWH1810146, as well as The University of Texas MD Anderson Cancer Center SPORE in Melanoma grant from the National Cancer Institute under award number P50 CA093459.
Ethics approval and consent to participate
Research was approved via Institutional Review Board (IRB) at the University of Texas MD Anderson Cancer Center (FWA00000363).
Availability of data and material
The datasets during and/or analyzed during the current study available from the corresponding author on reasonable request.
Author Contributions. LYC performed experiments. LYC and PS conducted data analysis. LYC, JN, and DYZ wrote the manuscript. LEH and MTT managed clinical sample collection, IHC, and NGS. LNK, JEG, MAD, and DYZ conceived the work. Correspondence may be addressed to DYZ ([email protected]).
Additional Information. LYC, PS, and JN consult for NuProbe USA. MTT has advisory board relationships with Novartis, LLC, Myriad Genetics, and Nanostring. LNK reports receiving a commercial research grant from Array Biopharma. JEG has served as a consultant and/or on an advisory board for Merck, Syndax, Novartis, and Bristol Myers Squibb (unrelated to the content of this work). Sheldon G. Adelson Medical Research Foundation, the AIM at Melanoma Foundation, the NIH/NCI 2T32CA009666-21, Cancer Fighters of Houston, and philanthropic contributions to the Melanoma Moon Shots Program of MD Anderson. MAD has been a consultant to Roche/Genentech, Array, Novartis, BMS, GSK, Sanofi-Aventis, Vaccinex and Apexigen, and he has been the PI of funded research grants to his institution by Roche/Genentech, GSK, Sanofi-Aventis, Merck, Myriad, and Oncothyreon, and is supported by the Dr. Miriam and DYZ is a co-founder, significant equity holder, and consultant of NuProbe Global and of Torus Biosystems, and is a consultant for Avenge Bio. LEH reports no conflict of interest.
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TABLE 1: Clinical sample results summary. DNA was extracted from FFPE SLNB or CLND specimens from non-acral cutaneous melanoma patients. Samples were derived from 7 patients. Macrodissection was performed to enrich tumor fraction except for samples 129288 and 129538 that were tumor only. Samples results are shown for BDA Sanger sequencing assay, ddPCR assay, IHC using anti-BRAF V600E antibody staining, and NGS. DNA input for BDA Sanger and ddPCR assays were 40ng each (roughly 1/50th the DNA from 1 FFPE slide); other methods used a full slide. Red cells code for VAF5%, yellow cells code for 0.1%VAF5%, green cells code for wild type. BDA Sanger identified and quantitated FFPE damage at 0.59% VAF and 0.44% VAF for the 129294 and 129296 samples, but reported 0% VAF for BRAF actionable mutations. "*" indicated that the NGS status was confirmed with orthogonal NGS assay.
