Skip to main content

BRAFV600E mutational status assessment in cutaneous melanocytic neoplasms in a group of the Egyptian population

Abstract

Background

Melanocytic neoplasms range from banal nevi to malignant melanomas. The genetic background has been extensively studied in the Caucasian population. BRAF mutations were reported among the early driver mutations in nevogenesis. Nevertheless, the pathogenesis in the Egyptian population has not been elucidated.

Aim and Methods

The present study was carried out to assess the sensitivity and specificity of immunohistochemistry (IHC) using the RM-08 clone in reference to allele-specific real-time PCR (CAST-PCR) for the detection of the BRAF V600E mutation in 50 formalin-fixed paraffin-embedded blocks of melanocytic neoplasms with prior bleaching using hydrogen peroxide in Tris-HCL and Bovine Serum Albumin respectively.

Results

IHC staining was interpreted using staining reaction (positive versus negative) and staining pattern (negative and heterogeneous versus homogenous). Using the staining pattern, the specificity increased from 73.3 to 88.2%, the negative predictive value increased from 73.3 to 100%, the diagnostic accuracy increased from 71.4 to 90.48% and the overall accuracy increased from 69.9 to 77.3%. The sensitivity and positive predictive value remained unchanged. The K-agreement coefficient increased from 0.364 (fair agreement) to 0.741 (good agreement) and was statistically significant (p = 0.00). Next-generation sequencing was performed in 11 cases, 8 cases with IHC-positive and BRAF wild type in addition to 3 cases that failed PCR analysis and revealed no BRAF V600E. No statistically significant difference was found in the clinicopathological parameters between BRAF V600E and BRAF wild−type melanomas.

Conclusions

These findings suggest that IHC staining homogeneity may be more accurate in predicting BRAF V600E mutational status. However, IHC cannot replace molecular methods.

Introduction

Melanocytic neoplasms range from benign banal nevi to malignant melanomas, which are considered among the most aggressive malignancies. The incidence differs among different geographical regions. This may be attributed to racial variation, as well as differences in sun exposure. In the USA, it is ranked as the fifth most common malignancy in males [1]. In Egypt, it accounts for only 0.24% of malignancies [2].

Melanoma formation depends on the interplay between environmental risk and host susceptibility. The UV load, the pattern of sun exposure (intermittent versus chronic), anatomic location and driver mutations provide a basis for the classification of cutaneous melanocytic neoplasia, specifically melanomas in the Caucasian population according to the 4th edition of the WHO classification of skin tumours [3, 4]. Nevertheless, in dark-skinned individuals, in the Middle East and North Africa (MENA) region, including the Egyptian population, the pathogenesis of nevi and melanoma may be unclear due to few published data [25].

One of the essential genes implicated in nevi and melanoma development is the BRAF gene, a human proto-oncogene located on the long arm of chromosome 7 (7q34). It encodes BRAF protein, a member of the Raf kinase family of proteins playing a pivotal role in the MAPK/ERK signalling pathway. The BRAF protein is a 766–amino acid-long protein composed of three conserved domains: the two regulatory domains and the third domain, which encodes the kinase domain, in the C-terminus [6].

The constitutive oncogenic activation of the BRAF protein promotes a continuous, uncontrolled stimulation of cell proliferation via phosphorylation of MEK and ERK [7]. This process occurs due to a missense mutation of the BRAF gene. To date, more than 30 mutations of the BRAF gene associated with human cancers have been identified, the most common of which is the BRAFV600E mutation, in which hydrophilic glutamic acid (E) substitutes hydrophobic valine (V) at codon 600. Less commonly encountered mutations are grouped as BRAF.non−V600E mutations [8].

Molecular testing is necessary to identify the mutational status and can be performed using different techniques, including the FDA-approved Cobas test, sequencing, and real-time PCR. Immunohistochemistry using a monoclonal antibody VE1 clone has been proposed as a surrogate for RT–PCR molecular testing [8,9,10].

This study assessed BRAF mutational status using IHC for BRAF V600E and competitive allele-specific real-time PCR (CAST-PCR) in 50 formalin-fixed paraffin-embedded (FFPE) tissue blocks representative of melanocytic neoplasms. The results of IHC testing were compared with the CAST-PCR results to determine the diagnostic accuracy and clinical value of IHC testing for detecting the BRAF V600E mutation.

Materials and methods

Patients

The current study comprised 50 retrospective excisional or incisional biopsies of cutaneous melanocytic neoplasms (29 melanomas and 21 nevi cases) collected from the archives of the Pathology Laboratory, Faculty of Medicine, Alexandria University during the period from January 2017 to January 2020. Ethical approval was granted by the Faculty of Medicine Ethics Committee (IRB no. 00007555, FWA NO. 00015712). The cases selected had sufficient tissue material as assessed by light microscopic examination of H&E-stained, formalin-fixed, paraffin-embedded tissue sections.

Several methods have been used to detect BRAF mutation status. Molecular methods were solely used to evaluate BRAFV600E mutational status. With the development of the BRAFV600E monoclonal antibody, the possibility of using immunohistochemistry (IHC) to detect the BRAFV600E mutation has been reported. IHC is cost-effective and available as a routine technique and rapidly yields results.

Immunohistochemical staining for BRAF V600E :

Four-micrometre-thick sections were cut from paraffin blocks and placed on positively charged slides. Melanin bleaching for moderately and heavily pigmented cases (17 melanoma cases and 12 nevi) using 0.5% diluted hydrogen peroxide (H2O2) in Tris-HCl and PBS was performed as described by Chung et al. [11]. Antigen retrieval was performed using sodium citrate buffer (0.01 M Na-citrate monohydrate, pH 6.0) in a microwave oven for 15 min. IHC staining was performed using BRAF monoclonal antibody (Clone: RM8, ThermoFisher Scientific, USA, dilution 1:300 in phosphate-buffered saline (PBS) according to the manufacturer’s protocol using a horseradish polymer (hrp) kit (ThermoFisher Scientific) and diaminobenzidine (DAB) as a chromogen. Nonneoplastic prostate and neoplastic colon and tissue sections without primary antibody incubation were included in the run as positive and negative controls, respectively.

All cases were scored by three pathologists who were not informed of the clinical course and diagnosis following the criteria proposed by Capper et al. [10]. The staining pattern was interpreted as homogenous and heterogeneous according to the staining pattern of tumour cells as described by Yancovitz [12].

BRAF V600E molecular analysis:

Eight sections from paraffin blocks of the 50 cases were cut at a thickness of 10 μm and a surface area of 250 mm2. Genomic DNA was extracted according to the manufacturer’s instructions of the QIAamp DNA FFPE Tissue Kit (Qiagen; http://www.qiagen.com). Eleven control tissue samples were obtained from non-neoplastic tissues (normal pancreatic and normal skin tissues). This material was used before PCR runs to optimize the curves for reference genes.

Competitive allele-specific real-time PCR (CAST-PCR)

Quantitative PCR for the BRAFV600E mutation was performed in all 50 cases using competitive allele-specific TaqMan mutation detection assays: Mutation Allele Assay (4465804, Hs00000111_mu) and Gene Reference Assay (4465807, Hs00000172_rf), following the manufacturer’s instructions (Life Technologies; http://www.lifetechnologies.com) in the Step One device. The percentage of BRAFV600E mutations was determined from the dCT (CT reference − CT mutant) using Mutation Detector software [13]. To avoid PCR inhibition by melanin pigments, bovine serum albumin (BSA) from New England BioLabs (Hitchin, UK) was added to the PCR reactions in moderately and heavily pigmented lesions (16 cases) at a final concentration of 0.1 μg/μl [14].

Next-generation sequencing:

BRAF NGS was performed for 11 cases (8 cases with + ve IHC/wild type CAST-PCR) and three cases that failed PCR analysis. A pooled barcoded amplicon-tagged library was generated for BRAF V600E mutation using Fluidigm® Access Array TM (Fluidigm, USA) and ~ 10 pg of diluted amplicon library was taken for direct input into the emulsion polymerase chain reaction (emPCR) using Ion one touch2 (Thermo Scientific, USA) and further enriched using Ion ES station following the manufacturer’s instructions (Thermo Scientific, USA). The enriched amplicon library was sequenced using a 520-chip with an Ion S5XL semiconductor sequencer (Thermo Scientific, USA) following the manufacturer’s instructions. Targeted hotspot mutations at 599–600, as reported in the Catalogue on Somatic Mutations in Cancer (COSMIC) in the BRAF gene (covering a total of 8 amplicons), were analysed. Sequence reads were aligned to the reference genome hg19, and binary alignment map (BAM) files were generated using Ion Torrent suite version 4.0.1. The BAM files were visualized using an integrative genomics viewer (IGV) with the appropriate browser.

Statistical analysis:

Statistical analysis was performed using SPSS version 20 (IBM). Sensitivity (PPA), specificity (NPA), positive predictive value (PPV), negative predictive value (NPV), diagnostic accuracy (overall agreement) and overall accuracy for IHC in detecting BRAF V600E in reference to CAST-PCR. (p < 0.05) were calculated. Agreement between both methods for BRAF V600E immunohistochemical staining (IHC) positivity and pattern and CAST-PCR was calculated using the ĸ agreement coefficient.

Results

The 50 studied cases were tested by IHC using a monoclonal antibody (RM-08) specific to the BRAFV600E protein. Before IHC staining, melanin bleaching was performed on 12 nevi and 17 melanoma cases with pigmentation scores of 2 + and 3 + (Fig. 1). The IHC results are summarized in Table 1.

Fig. 1
figure 1

Four cases of malignant melanoma stained for BRAFV600E. protein (immunoperoxidase × 200) demonstrating: A: Negative cytoplasmic staining in tumour cells (no bleaching) B: Ambiguous staining in tumour cells in the form of nuclear and cytoplasmic staining (prior bleaching) C: Heterogenous positive cytoplasmic staining pattern (no bleaching). D: Homogenous positive cytoplasmic staining pattern. (prior bleaching)

Table 1 IHC results of BRAFV600E mutation status in all 50 studied cases of melanocytic tumours

Prior to BRAF V600E genetic analysis using CAST-PCR, BSA was applied as a melanin bleaching agent to 28 samples (12 nevi and 16 melanoma cases). BRAF V600E genetic analysis was successful in 44/50 cases of melanocytic neoplasms (Fig. 2).

Fig. 2
figure 2

Amplification plot of the BRAFV600E gene

To resolve the discrepancy in eight cases with BRAF heterogonous staining patterns and BRAFWildtype, (em) PCR was performed using Fluidigm® for library preparation and revealed BRAF wild type in all cases (Fig. 3).

Fig. 3
figure 3

BAM files analysed for the BRAFV600E mutation (chromosome 7 in Integrative genome viewer (IGV). The input files were aligned to the human hg19 reference genome

Comparison of the results of BRAFV600E mutational status by IHC and CAST-PCR in the 42 studied cases are summarized in Table 2 after exclusion of ambiguous cases by IHC (2 cases) and cases that failed the PCR analysis (6 cases).

Table 2 Comparison of the BRAFV600E mutational status by IHC and CAST-PCR in the 42 studied cases of melanocytic neoplasms

Regardless of staining patterns, the overall agreement between both procedures was 30/42 melanocytic neoplasms (71.4%). After regrouping the cases into group 1 (homogenous staining) and group 2 (heterogeneous and absent staining), the overall agreement between both procedures was 38/42 melanocytic neoplasms (90.48%). The statistical performance of the two different evaluation IHC BRAF methods (with or without staining patterns) is summarized in Table 3.

Table 3 Diagnostic Accuracy of IHC Testing for Detection of the BRAFV600E Mutation in the 42 studied melanocytic neoplasms in reference to CAST-PCR results

To evaluate the effects of bleaching on BRAF IHC results, mparison of concordance between IHC results with or without prior bleaching and CAST-PCR results was performed. There was no statistically significant difference in the IHC results (X2 = 3.803, P (MC) = 0.350) (Table 4).

Table 4 Comparison of IHC results according to bleaching with CAST-PCR results for the detection of the BRAF V600E mutation in the 42 studied melanocytic neoplasms using the chi-square test

The BRAF V600E mutational status was compared between nevi and melanoma cases in the current study. The BRAFV600E mutation was detected in 6/18 nevi (33.3%) cases and 6/26 melanoma cases (23.1%) using the chi-square test, with an overall mutation rate of 27.3% (12/44).

The relationship between BRAF mutational status and different clinicopathological parameters was assessed in melanoma cases using the chi-square test after exclusion of cases that failed PCR analysis (3 cases). There was no statistically significant difference in BRAFV600E PCR results among the tested parameters (Table 5).

Table 5 Relationship between BRAF mutational status detected by CAST-PCR and different clinicopathological parameters in 26 studied melanoma cases using the chi-square test

Nonparametric correlations between BRAF mutational status and the following parameters were performed: age, Breslow thickness, Clark level and mitotic rate using the Spearman correlation coefficient test. There were no statistically significant correlations between mutation detection by CAST-PCR and the tested parameters. (P = 0.270, 0.233, 0.749, 0.588), respectively.

Discussion

In the present work, the use of Immunohistochemistry to detect BRAFV600E is effective and cheap method especially when staining pattern was used with good overall agreement between both IHC and CAST-PCR results.

In current study, the overall agreement (concordance) between BRAFV600E mutation detection using CAST-PCR and IHC staining reaction interpretation was 71.4%. ĸ agreement coefficient was 0.364 and statistically significant (K = 0.0.364, p = 0.016). The sensitivity and specificity were 66.7% and 73.3%, respectively. In multiple published series, concordance between IHC and CAST-PCR ranged from 88 to 97% and reported IHC sensitivity up to 97% and specificity up to 100% in detecting BRAFV600E mutation.

The discrepancy between the literature data and the current work could be explained by preanalytical and analytical factors and post analytical IHC. Preanalytic include different specimen sizes (incisional biopsies vs excision), delay in the time of fixation (cold ischaemia), fixation duration and tissue-fixative ratio.

In terms of the analytical phase, bleaching before IHC may have an effect on the antigen retrieval process and the use of different antibody clones (RM-8). Zhang et al. when trying prior bleaching before VE-1 IHC, detected false negative staining [15]. The other studies utilized VE1 provided by Roche® or Spring Bioscience® without prior bleaching [10, 16, 17]. Monoclonal anti-BRAF antibodies other than the VE1 clone were reported to have lower specificity and sensitivity in BRAFV600E mutation detection [18].

In terms of the postanalytic phase, a lack of training on interpretation may provide a source of interobserver variability [9, 17]. The most widely utilized method in clinical practice was proposed by Capper et al. [10, 17] and was adopted in the present study. The reproducibility of this method was argued, especially in heavily pigmented melanomas, and more stringent criteria were proposed by Fisher and colleagues [9]. Yancovitz and colleagues [12] reported that intratumoral heterogeneity in BRAF expression caused a marked discrepancy between BRAFV600E molecular testing methods. Recently, a meta-analysis by Ito et al. [19] included multiple studies highlighted BRAF inter-and intratumoral heterogeneity as a possible culprit in the discrepancy between IHC results and PCR, which was resolved by sequencing.

The studied cases were reanalyzed according to the staining pattern proposed by Yancovitz after regrouping the cases into group 1 (homogenous staining) and group 2 (heterogeneous and absent staining). The specificity increased from 73.3 to 88.2%. NPA increased from 73.3 to 100%. The diagnostic accuracy increased from 71.4 to 90.48%. The overall accuracy increased from 69.9 to 77.3%. The sensitivity, positive percent agreement and positive predictive value remained unchanged. The K-agreement coefficient between both testing methods (IHC staining pattern vs CAST-PCR) increased from 0.364 (fair agreement) to 0.741 (good agreement) and was statistically significant.

Eight cases with discrepant results (IHC+ve/BRAF wild−type) and three cases that failed PCR analysis underwent next-generation sequencing (NGS). It revealed BRAF wild−type in all eleven cases, confirming the CAST-PCR results in eight BRAF wild-type cases and detecting mutational status in three cases that failed PCR analysis. NGS can be used in BRAF.V600E mutation detection with better results when compared to conventional sequencing techniques and can pick up mutations that were missed by PCR, as reported by Reiman [20]. Nevertheless, the use of PCR-based tests was reported to be a more rapid, sensitive, specific and cost-effective method for detecting BRAF mutations [21,22,23,24].

The overall mutation rate in the studied cases is less than that in the published series. Anatomic distribution and histologic subtype are strong predictors of BRAFV600E mutational status in different population groups. Acral location and ALM are reported to show a lower incidence of BRAFV600E mutation [25,26,27]. BRAFV600E mutation was reported to be more frequent in nevi of compound histology with a more nesting pattern and the intraepithelial ascent of cells in comparison to dermal nevi [28]. The present work included 13 dermal nevi cases (61.9%).

The clinical and pathological differences in melanoma cases with and without the BRAF V600E mutation were assessed. BRAFV600E was found to show no statistically significant correlation or association. These findings were following published data, as BRAF V600E mutational status did not show any association with established prognostic factors [29]. However, its predictive value has been established in clinical practice [30].

Conclusions

Considering the BRAF heterogeneity of melanoma, a single biopsy may not be sufficient to uncover the entire BRAF status of a patient, and multiple samples from different sites may be preferable. The results obtained in this study indicate that the IHC method cannot replace molecular methods for the detection of the BRAFV600E mutation. There is no consensus on BRAF IHC staining interpretation criteria among different study groups, which in turn questions the methodology that should be adopted for staining interpretation.

“To our knowledge, this is the first study in the MENA region that compares BRAFV600E in Nevi and melanoma cases using different detection methods. The present work is the first to highlight the technical difficulties in BRAFV600E immunohistochemistry interpretation in terms of the assessment of heavily pigmented cases and the use of bleaching as cheap and effective method to remove melanin prior to staining. The study was conducted on 50 specimens only due to unavailability of paraffin blocks of melanocytic neoplasms as melanoma is uncommon disease in Egypt. Few statistical data are available on disease burden. Even more no public awareness on removal of melanocytic nevi and how to identify abnormal “moles” to seek medical advice. The research is self funded by the research team.

Availability of data and materials

Raw data sharing does not apply to Immunohistochemistry as no datasets were generated. PCR raw data and NGS are available upon request from the corresponding author.

References

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA A Cancer J Clin. 2018;68(6):394–424.

    Article  Google Scholar 

  2. Hussein MR. Skin cancer in Egypt: a word in your ear. Cancer Biol Ther. 2005;4(5):593–5.

    Article  Google Scholar 

  3. Bastian BC. The molecular pathology of melanoma: an integrated taxonomy of melanocytic neoplasia. Annu Rev Pathol. 2014;9:239–71.

    Article  CAS  Google Scholar 

  4. Elder DE, Massi D, Scolyer RA, Willemze R. Melanocytic tumours. In: Edkins S, editor. WHO Classification of skin tumours WHO classification of tumours WHO series on the classification of human tumours. Geneva: World Health Organization; 2018.

    Google Scholar 

  5. Saroufim M, Habib R, Karram S, Youssef Massad C, Taraif S, Loya A, et al. BRAF analysis on a spectrum of melanocytic neoplasms: an epidemiological study across differing UV regions. Am J Dermatopathol. 2014;36(1):68–73.

    Article  Google Scholar 

  6. Chen Z, Gibson TB, Robinson F, Silvestro L, Pearson G, Xu B, et al. MAP kinases. Chem Rev. 2001;101(8):2449–76.

    Article  CAS  Google Scholar 

  7. Haling JR, Sudhamsu J, Yen I, Sideris S, Sandoval W, Phung W, et al. Structure of the BRAF-MEK complex reveals a kinase activity independent role for BRAF in MAPK signaling. Cancer Cell. 2014;26(3):402–13.

    Article  CAS  Google Scholar 

  8. Cheng L, Lopez-Beltran A, Massari F, MacLennan GT, Montironi R. Molecular testing for BRAF mutations to inform melanoma treatment decisions: a move toward precision medicine. Mod Pathol. 2018;31(1):24.

    Article  CAS  Google Scholar 

  9. Fisher KE, Cohen C, Siddiqui MT, Palma JF, Lipford EH, Longshore JW. Accurate detection of BRAF pV600E mutations in challenging melanoma specimens requires stringent immunohistochemistry scoring criteria or sensitive molecular assays. Human pathology. 2014;45(11):2281–93.

    Article  CAS  Google Scholar 

  10. Capper D, Preusser M, Habel A, Sahm F, Ackermann U, Schindler G, et al. Assessment of BRAF V600E mutation status by immunohistochemistry with a mutation-specific monoclonal antibody. Acta Neuropathol. 2011;122(1):11–9.

    Article  CAS  Google Scholar 

  11. Chung JY, Choi J, Sears JD, Ylaya K, Perry C, Choi CH, et al. A melanin-bleaching methodology for molecular and histopathological analysis of formalin-fixed paraffin-embedded tissue laboratory investigation. J Tech Methods Pathol. 2016;96(10):1116–27.

    CAS  Google Scholar 

  12. Yancovitz M, Litterman A, Yoon J, Ng E, Shapiro RL, Berman RS, et al. Intra- and inter-tumor heterogeneity of BRAF(V600E))mutations in primary and metastatic melanoma. PLoS ONE. 2012;7(1):e29336.

    Article  CAS  Google Scholar 

  13. Milne P, Bigley V, Bacon CM, Neel A, McGovern N, Bomken S, et al. Hematopoietic origin of langerhans cell histiocytosis and erdheim-chester disease in adults. Blood. 2017;130(2):167–75.

    Article  CAS  Google Scholar 

  14. Frouin E, Maudelonde T, Senal R, Larrieux M, Costes V, Godreuil S, et al. Comparative methods to improve the detection of BRAF V600 mutations in highly pigmented melanoma specimens. PloS ONE. 2016;11:7.

    Article  Google Scholar 

  15. Zhang W, Song G, Han X, Li X, Luo D. A validation study for the use VE1 immunohistochemical staining in screening for BRAF mutation in cutaneous malignant melanoma. Biomed Res. 2017;28(11):4886–90.

    CAS  Google Scholar 

  16. Anwar MA, Murad F, Dawson E, Abd Elmageed ZY, Tsumagari K, Kandil E. Immunohistochemistry as a reliable method for detection of BRAF-V600E mutation in melanoma: a systematic review and meta-analysis of current published literature. J Surg Res. 2016;203(2):407–15.

    Article  CAS  Google Scholar 

  17. Long GV, Wilmott JS, Capper D, Preusser M, Zhang YE, Thompson JF, et al. Immunohistochemistry is highly sensitive and specific for the detection of V600E BRAF mutation in melanoma. Am J Surg Pathol. 2013;37(1):61–5.

    Article  Google Scholar 

  18. Routhier CA, Mochel MC, Lynch K, Dias-Santagata D, Louis DN, Hoang MP. Comparison of 2 monoclonal antibodies for immunohistochemical detection of BRAF V600E mutation in malignant melanoma, pulmonary carcinoma, gastrointestinal carcinoma, thyroid carcinoma, and gliomas. Hum Pathol. 2013;44(11):2563–70.

    Article  CAS  Google Scholar 

  19. Ito T, Tanaka Y, Murata M, Kaku-Ito Y, Furue K, Furue M. BRAF heterogeneity in melanoma. Curr Treat Options Oncol. 2021;22(3):20.

    Article  Google Scholar 

  20. Reiman A, Kikuchi H, Scocchia D, Smith P, Tsang YW, Snead D, et al. Validation of an NGS mutation detection panel for melanoma. BMC Cancer. 2017;17(1):150.

    Article  Google Scholar 

  21. O’Brien O, Lyons T, Murphy S, Feeley L, Power D, Heffron C. BRAF V600 mutation detection in melanoma: a comparison of two laboratory testing methods. J Clin Pathol. 2017;70(11):935–40.

    Article  CAS  Google Scholar 

  22. Pisareva E, Gutkina N, Kovalenko S, Kuehnapfel S, Hartmann A, Heinzerling L, et al. Sensitive allele-specific real-time PCR test for mutations in BRAF codon V600 in skin melanoma. Melanoma Res. 2014;24(4):322–31.

    Article  CAS  Google Scholar 

  23. Vallée A, Denis-Musquer M, Herbreteau G, Théoleyre S, Bossard C, Denis MG. Prospective evaluation of two screening methods for molecular testing of metastatic melanoma: diagnostic performance of BRAF V600E immunohistochemistry and of a NRAS-BRAF fully automated real-time PCR-based assay. PLoS ONE. 2019;14(8):e0221123.

    Article  Google Scholar 

  24. Richter A, Grieu F, Carrello A, Amanuel B, Namdarian K, Rynska A, et al. A multisite blinded study for the detection of BRAF mutations in formalin-fixed, paraffin-embedded malignant melanoma. Sci Rep. 2013;3:1659.

    Article  Google Scholar 

  25. Kim SY, Kim SN, Hahn HJ, Lee YW, Choe YB, Ahn KJ. Metaanalysis of BRAF mutations and clinicopathologic characteristics in primary melanoma. J Am Acad Dermatol. 2015;72(6):1036–46.

    Article  CAS  Google Scholar 

  26. Bauer J, Büttner P, Murali R, Okamoto I, Kolaitis NA, Landi MT, et al. BRAF mutations in cutaneous melanoma are independently associated with age, anatomic site of the primary tumor, and the degree of solar elastosis at the primary tumor site. Pigment Cell Melanoma Res. 2011;24(2):345–51.

    Article  CAS  Google Scholar 

  27. Greaves WO, Verma S, Patel KP, Davies MA, Barkoh BA, Galbincea JM, et al. Frequency and spectrum of BRAF mutations in a retrospective, single-institution study of 1112 cases of melanoma. J Mol Diagn JMD. 2013;15(2):220–6.

    Article  CAS  Google Scholar 

  28. Kiuru M, Tartar DM, Qi L, Chen D, Yu L, Konia T, et al. Improving classification of melanocytic nevi: Association of BRAF V600E expression with distinct histomorphologic features. J Am Acad Dermatol. 2018;79(2):221–9.

    Article  CAS  Google Scholar 

  29. Inumaru JS, Gordo KI, Fraga Junior AC, Silva AM, Leal CB, Ayres FM, et al. Analysis of the BRAF V600E mutation in primary cutaneous melanoma. Genet Mol Res GMR. 2014;13(2):2840–8.

    Article  CAS  Google Scholar 

  30. NCCN Guidelines Version 4. 2020 Cutaneous Melanoma. Accessed 27 Sep2020. 2020 updated Feb. Available from: https://www.nccn.org/professionals/physician_gls/pdf/cutaneous_melanoma.pdf.

Download references

Acknowledgements

The authors would like to thank Asmaa Abdelhameed for consultation on statistical analysis.

Funding

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).

Author information

Authors and Affiliations

Authors

Contributions

NMY, DMA, DM, OE and HK participated in the study design and coordination. NMY, OE and DM. A participated in the immunohistochemical analysis. DM performed and interpreted CAST-PCR. IMT performed NGS. HMK collected and provided all clinical data. NMYand OE wrote the main manuscript text. NMY, DMA and OE prepared Fig. 1, DM prepared Fig. 2 and IMT prepared Fig. 3. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Nada M. Yakout.

Ethics declarations

Ethics approval and consent to participate

Clinical data were collected and evaluated in the entire set of patients, according to approval by the Faculty of Medicine Ethics Committee, Alexandria University (IRB no. 00007555, FWA NO. 00015712).). The study was conducted per the international standards of good clinical practice and with the 1964 Helsinki declaration and its later amendments or comparable ethical standard.

Consent for publication

No patient’s data are included in this manuscript.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yakout, N.M., Abdallah, D.M., Abdelmonsif, D.A. et al. BRAFV600E mutational status assessment in cutaneous melanocytic neoplasms in a group of the Egyptian population. Cancer Cell Int 23, 17 (2023). https://doi.org/10.1186/s12935-023-02858-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12935-023-02858-1

Keywords