Microenvironment tailors nTreg structure and function.

Natural regulatory T cells (nTregs) ensure the control of self-tolerance and are currently used in clinical trials to alleviate autoimmune diseases and graft-versus-host disease after hematopoietic stem cell transfer. Based on CD39/CD26 markers, blood nTreg analysis revealed the presence of five different cell subsets, each representing a distinct stage of maturation. Ex vivo added microenvironmental factors, including IL-2, TGFß, and PGE2, direct the conversion from naive precursor to immature memory and finally from immature to mature memory cells, the latest being a no-return stage. Phenotypic and genetic characteristics of the subsets illustrate the structural parental maturation between subsets, which further correlates with the expression of regulatory factors. Regarding nTreg functional plasticity, both maturation stage and microenvironmental cytokines condition nTreg activities, which include blockade of autoreactive immune cells by cell-cell contact, Th17 and IL-10 Tr1-like activities, or activation of TCR-stimulating dendritic cell tolerization. Importantly, blood nTreg CD39/CD26 profile remained constant over a 2-y period in healthy persons but varied from person to person. Preliminary data on patients with autoimmune diseases or acute myelogenous leukemia illustrate the potential use of the nTreg CD39/CD26 profile as a blood biomarker to monitor chronic inflammatory diseases. Finally, we confirmed that naive conventional CD4 T cells, TCR-stimulated under a tolerogenic conditioned medium, could be ex vivo reprogrammed to FOXP3 lineage Tregs, and further found that these cells were exclusively committed to suppressive function under all microenvironmental contexts.

Low temperature isothermal amplification of microsatellites drastically reduces stutter artifact formation and improves microsatellite instability detection in cancer.

Microsatellites are polymorphic short tandem repeats of 1-6 nucleotides ubiquitously present in the genome that are extensively used in living organisms as genetic markers and in oncology to detect microsatellite instability (MSI). While the standard analysis method of microsatellites is based on PCR followed by capillary electrophoresis, it generates undesirable frameshift products known as 'stutter peaks' caused by the polymerase slippage that can greatly complicate the analysis and interpretation of the data. Here we present an easy multiplexable approach replacing PCR that is based on low temperature isothermal amplification using recombinase polymerase amplification (LT-RPA) that drastically reduces and sometimes completely abolishes the formation of stutter artifacts, thus greatly simplifying the calling of the alleles. Using HT17, a mononucleotide DNA repeat that was previously proposed as an optimal marker to detect MSI in tumor DNA, we showed that LT-RPA improves the limit of detection of MSI compared to PCR up to four times, notably for small deletions, and simplifies the identification of the mutant alleles. It was successfully applied to clinical colorectal cancer samples and enabled detection of MSI. This easy-to-handle, rapid and cost-effective approach may deeply improve the analysis of microsatellites in several biological and clinical applications.

Major improvement in the detection of microsatellite instability in colorectal cancer using HSP110 T17 E-ice-COLD-PCR.

Every colorectal cancer (CRC) patient should be tested for microsatellite instability (MSI) to screen for Lynch syndrome. Evaluation of MSI status involves screening tumor DNA for the presence of somatic deletions in DNA repeats using PCR followed by fragment analysis. While this method may lack sensitivity due to the presence of a high level of germline DNA, which frequently contaminates the core of primary colon tumors, no other method developed to date is capable of modifying the standard PCR protocol to achieve improvement of MSI detection. Here, we describe a new approach developed for the ultra-sensitive detection of MSI in CRC based on E-ice-COLD-PCR, using HSP110 T17, a mononucleotide DNA repeat previously proposed as an optimal marker to detect MSI in tumor DNA, and an oligo(dT)16 LNA blocker probe complementary to wild-type genotypes. The HT17 E-ice-COLD-PCR assay improved MSI detection by 20-200-fold compared with standard PCR using HT17 alone. It presents an analytical sensitivity of 0.1%-0.05% of mutant alleles in wild-type background, thus greatly improving MSI detection in CRC samples highly contaminated with normal DNA. HT17 E-ice-COLD-PCR is a rapid, cost-effective, easy-to-implement, and highly sensitive method, which could significantly improve the detection of MSI in routine clinical testing.

Accurate CpG and non-CpG cytosine methylation analysis by high-throughput locus-specific pyrosequencing in plants.

Pyrosequencing permits accurate quantification of DNA methylation of specific regions where the proportions of the C/T polymorphism induced by sodium bisulfite treatment of DNA reflects the DNA methylation level. The commercially available high-throughput locus-specific pyrosequencing instruments allow for the simultaneous analysis of 96 samples, but restrict the DNA methylation analysis to CpG dinucleotide sites, which can be limiting in many biological systems. In contrast to mammals where DNA methylation occurs nearly exclusively on CpG dinucleotides, plants genomes harbor DNA methylation also in other sequence contexts including CHG and CHH motives, which cannot be evaluated by these pyrosequencing instruments due to software limitations. Here, we present a complete pipeline for accurate CpG and non-CpG cytosine methylation analysis at single base-resolution using high-throughput locus-specific pyrosequencing. The devised approach includes the design and validation of PCR amplification on bisulfite-treated DNA and pyrosequencing assays as well as the quantification of the methylation level at every cytosine from the raw peak intensities of the Pyrograms by two newly developed Visual Basic Applications. Our method presents accurate and reproducible results as exemplified by the cytosine methylation analysis of the promoter regions of two Tomato genes (NOR and CNR) encoding transcription regulators of fruit ripening during different stages of fruit development. Our results confirmed a significant and temporally coordinated loss of DNA methylation on specific cytosines during the early stages of fruit development in both promoters as previously shown by WGBS. The manuscript describes thus the first high-throughput locus-specific DNA methylation analysis in plants using pyrosequencing.

DNA methylation associated with polycomb repression in retinoic acid receptor ß silencing.

Retinoic acid receptor ß 2 (RARß2) is a tumor suppressor gene whose loss of expression is recurrent in prostate cancers. Here we studied the epigenetic mechanisms leading to its stable silencing. First, we characterized all RARß isoforms in 6 human tumor cell lines (prostate DU145, LNCaP, PC3, lung A549, breast Hs578T, and colon HCT116) by RT-PCR and Western blot. We excluded loss of heterozygosity (2D-FISH) and loss of RARa expression, an upstream regulator, as origin of RARß2 silencing. All data concluded to an epigenetic silencing. In agreement, a DNA methylation inhibitor restored its expression. Second RARß2 loss of expression was found associated with different epigenetic profiles in LNCaP and DU145 cells. According to bisulfite sequencing and ChIP analysis, we observed heavy methylation (97%) of the RARß2 promoter with repressive histone mark H3K9me3 in LNCaP. While DNA methylation and polycomb repression are described to be mutually exclusive at CpG-rich promoters, we observed that in DU145, moderate DNA methylation (36%) and H3K9me3 mark were present concomitantly with H3K27me3, a signature of polycomb repression. In summary, we provide new insights on how the RARß2 promoter is silenced, reveal the existence of two distinct repressive chromatin profiles at the same locus, and support a polycomb-mediated epigenetic repression process in prostate cancer.

Ultrasensitive detection and identification of BRAF V600 mutations in fresh frozen, FFPE, and plasma samples of melanoma patients by E-ice-COLD-PCR.

A number of molecular diagnostic methods have been developed for the detection and identification of mutations in tumor samples, which are important for the choice of treatment in the context of personalized medicine. For the treatment of metastatic melanoma, Vemurafenib is recommended for patients with BRAF V600 activating mutations. However, the different assays developed to date for the detection of these mutations lack sensitivity or specificity or do not allow a sequencing-based identification or validation of the mutation. Recently, enhanced improved and complete enrichment co-amplification at lower denaturation temperature-polymerase chain reaction (E-ice-COLD-PCR) has been developed as a sensitive method for the detection and identification of mutations in KRAS codons 12/13. Here, we present the first E-ice-COLD-PCR assay for the detection and identification of BRAF codon 600 mutations, which has a large dynamic range, as 25 pg to 25 ng can be used as DNA input without any reduction in mutation enrichment efficiency, and which can detect down to 0.01 % of mutated alleles in a wild-type background. The assay has been validated on fresh frozen, formalin-fixed paraffin-embedded (FFPE), and plasma samples of melanoma patients and has allowed the detection and identification of BRAF mutations present in samples appearing as wild type using standard pyrosequencing, endpoint genotyping, or Sanger sequencing. Thus, the BRAF V600 E-ice-COLD-PCR assay is currently one of the most powerful molecular diagnostic tools for the ultrasensitive detection and identification of BRAF codon 600 mutations.

Identification of type 1 diabetes-associated DNA methylation variable positions that precede disease diagnosis.

Monozygotic (MZ) twin pair discordance for childhood-onset Type 1 Diabetes (T1D) is ∼50%, implicating roles for genetic and non-genetic factors in the aetiology of this complex autoimmune disease. Although significant progress has been made in elucidating the genetics of T1D in recent years, the non-genetic component has remained poorly defined. We hypothesized that epigenetic variation could underlie some of the non-genetic component of T1D aetiology and, thus, performed an epigenome-wide association study (EWAS) for this disease. We generated genome-wide DNA methylation profiles of purified CD14+ monocytes (an immune effector cell type relevant to T1D pathogenesis) from 15 T1D-discordant MZ twin pairs. This identified 132 different CpG sites at which the direction of the intra-MZ pair DNA methylation difference significantly correlated with the diabetic state, i.e. T1D-associated methylation variable positions (T1D-MVPs). We confirmed these T1D-MVPs display statistically significant intra-MZ pair DNA methylation differences in the expected direction in an independent set of T1D-discordant MZ pairs (P = 0.035). Then, to establish the temporal origins of the T1D-MVPs, we generated two further genome-wide datasets and established that, when compared with controls, T1D-MVPs are enriched in singletons both before (P = 0.001) and at (P = 0.015) disease diagnosis, and also in singletons positive for diabetes-associated autoantibodies but disease-free even after 12 years follow-up (P = 0.0023). Combined, these results suggest that T1D-MVPs arise very early in the etiological process that leads to overt T1D. Our EWAS of T1D represents an important contribution toward understanding the etiological role of epigenetic variation in type 1 diabetes, and it is also the first systematic analysis of the temporal origins of disease-associated epigenetic variation for any human complex disease.

Sensitive detection of KRAS mutations using enhanced-ice-COLD-PCR mutation enrichment and direct sequence identification.

A number of methods allowing the detection of low levels of KRAS mutations have been developed in the last years. However, although these methods have become increasingly sensitive, they can rarely identify the mutated base directly without prior knowledge on the mutated base and are often incompatible with a sequencing-based read-out desirable in clinical practice. Here, we present a modified version of the ice-COLD-PCR assay called Enhanced-ice-COLD-PCR (E-ice-COLD-PCR) for KRAS mutation detection and identification, which allows the enrichment of the six most frequent KRAS mutations. The method is based on a nonextendable chemically modified blocker sequence, complementary to the wild-type (WT) sequence leading to the enrichment of mutated sequences. This assay permits the reliable detection of down to 0.1% mutated sequences in a WT background. A single genotyping assay of the amplification product by pyrosequencing directly following the E-ice-COLD-PCR is performed to identify the mutated base. This developed two-step method is rapid and cost-effective, and requires only a small amount of starting material permitting the sensitive detection and sequence identification of KRAS mutations within 3 hr. This method is applied in the current study to clinical colorectal cancer samples and enables detection of mutations in samples, which appear as WT using standard detection technologies.

Placentas from pregnancies conceived by IVF/ICSI have a reduced DNA methylation level at the H19 and MEST differentially methylated regions.

STUDY QUESTION: Does IVF/ICSI have an effect on the epigenetic regulation of the human placenta? SUMMARY ANSWER: We found a reduced DNA methylation level at the H19 and MEST differentially methylated regions (DMRs), and an increased RNA expression of H19 in placentas from pregnancies conceived by IVF/ICSI when compared with placentas from spontaneous conception. WHAT IS KNOWN ALREADY: Changes in fetal environment are associated with adverse health outcomes. The placenta is pivotal for intrauterine environment. Animal studies show that epigenetic regulation plays an important role in these environment-induced phenotypic effects. Also, the preimplantation embryo environment affects birthweight as well as the risk of chronic adult diseases. Epigenetic processes are sensitive to the environment, especially during the period around conception. STUDY DESIGN AND PARTICIPANTS: Placental tissue was collected from 35 spontaneously conceived pregnancies and 35 IVF/ICSI (5 IVF, 30 ICSI) derived pregnancies. We quantitatively analysed the DNA methylation patterns of a number of consecutive CpGs in the core regions of DMRs and other regulatory regions of imprinted genes, since these are involved in placental and fetal growth and development. METHODS: By using pyrosequencing, the DNA methylation at seven germline-derived primary DMRs was analysed quantitatively. Five of these are maternally methylated (MEST isoform α and ß, PEG3, KCNQ1OT1 and SNRPN) and two are paternally methylated [H19 DMR and the intergenic region between DLK1 and MEG3 (IG-DMR)]. The post-fertilization-derived secondary DMRs, IGF2 (DMR0 and 2) and IG-DMR (CG7, also called MEG3 DMR), and the MEG3 promoter region were examined as well. In case of differential methylation between the two groups, the effect on gene expression was assessed by quantitative real-time PCR. MAIN RESULTS AND THE ROLE OF CHANCE: Both the promoter region of MEST isoform α and ß and the 6th CTCF binding site within the H19 DMR were significantly hypomethylated in the IVF/ICSI group. The phenomenon was consistently observed over all CpG sites analysed and not restricted to single CpG sites. The other primary and secondary DMRs were not affected. Expression of H19 was increased in the IVF/ICSI group, while that of IGF2 and MEST remained similar. LIMITATIONS, REASONS FOR CAUTION: In the IVF/ICSI group, mostly ICSI pregnancies were investigated. The ICSI technique or male subfertility could be a confounding factor. Therefore, our results are less generalizable to IVF pregnancies. WIDER IMPLICATIONS OF THE FINDINGS: The clinical effects of the observed placental hypomethylations on the developmental programming of the IVF/ICSI progeny, if any, are as yet unknown. Whether the hypomethylation is an adaptation of the placenta to maintain fetal supply and ameliorate the effects of environmental cues, or whether it is a deregulation leading to deranged developmental programming with or without increased vulnerability for disease, consistent with the developmental origins of health and disease hypothesis, needs further investigation. STUDY FUNDING/COMPETING INTEREST(S): Partly funded by an unrestricted research grant by Organon BV (now MSD BV) without any role in study design, data collection and analysis, or preparation of the manuscript. No conflict of interests to declare. TRIAL REGISTRATION NUMBER: Dutch Trial Registry (NTR) number 1298.

LT-RPA: An Isothermal DNA Amplification Approach for Improved Microsatellite Genotyping and Microsatellite Instability Detection.

Microsatellites are short tandem repeats of one to six nucleotides that are highly polymorphic and extensively used as genetic markers in numerous biomedical applications, including the detection of microsatellite instability (MSI) in cancer. The standard analytical method for microsatellite analysis relies on PCR amplification followed by capillary electrophoresis or, more recently, next-generation sequencing (NGS). However, their amplification during PCR generates undesirable frameshift products known as stutter peaks caused by polymerase slippage, complicating data analysis and interpretation, while very few alternative methods for microsatellite amplification have been developed to reduce the formation of these artifacts. In this context, the recently developed low-temperature recombinase polymerase amplification (LT-RPA) is an isothermal DNA amplification method at low temperature (32 °C) that drastically reduces and sometimes completely abolishes the formation of stutter peaks. LT-RPA greatly simplifies the genotyping of microsatellites and improves the detection of MSI in cancer. In this chapter, we describe in detail all the experimental steps necessary for the development of LT-RPA simplex and multiplex assays for microsatellite genotyping and MSI detection, including the design, optimization, and validation of the assays combined with capillary electrophoresis or NGS.

Centenarians consistently present a younger epigenetic age than their chronological age with four epigenetic clocks based on a small number of CpG sites.

Aging is a progressive time-dependent biological process affecting differentially individuals, who can sometimes present exceptional longevity. Epigenetic alterations are one of the hallmarks of aging, which comprise the epigenetic drift and clock at DNA methylation level. In the present study, we estimated the DNA methylation-based age (DNAmage) using four epigenetic clocks based on a small number of CpGs in French centenarians and semi-supercentenarians (CSSC, n=214) as well as nonagenarians' and centenarians' offspring (NCO, n=143) compared to individuals from the French general population (CG, n=149). DNA methylation analysis of the nine CpGs included in the epigenetic clocks showed high correlation with chronological age (-0.66>R>0.54) and also the presence of an epigenetic drift for four CpGs that was only visible in CSSC. DNAmage analysis showed that CSSC and to a lesser extend NCO present a younger DNAmage than their chronological age (15-28.5 years for CSSC, 4.4-11.5 years for NCO and 4.2-8.2 years for CG), which were strongly significant in CSSC compared to CG (p-values<2.2e-16). These differences suggest that epigenetic aging and potentially biological aging are slowed in exceptionally long-lived individuals and that epigenetic clocks based on a small number of CpGs are sufficient to reveal alterations of the global epigenetic clock.

A high-throughput real-time PCR tissue-of-origin test to distinguish blood from lymphoblastoid cell line DNA for (epi)genomic studies.

Lymphoblastoid cell lines (LCLs) derive from blood infected in vitro by Epstein-Barr virus and were used in several genetic, transcriptomic and epigenomic studies. Although few changes were shown between LCL and blood genotypes (SNPs) validating their use in genetics, more were highlighted for other genomic features and/or in their transcriptome and epigenome. This could render them less appropriate for these studies, notably when blood DNA could still be available. Here we developed a simple, high-throughput and cost-effective real-time PCR approach allowing to distinguish blood from LCL DNA samples based on the presence of EBV relative load and rearranged T-cell receptors γ and ß. Our approach was able to achieve 98.5% sensitivity and 100% specificity on DNA of known origin (458 blood and 316 LCL DNA). It was further applied to 1957 DNA samples from the CEPH Aging cohort comprising DNA of uncertain origin, identifying 784 blood and 1016 LCL DNA. A subset of these DNA was further analyzed with an epigenetic clock indicating that DNA extracted from blood should be preferred to LCL for DNA methylation-based age prediction analysis. Our approach could thereby be a powerful tool to ascertain the origin of DNA in old collections prior to (epi)genomic studies.

DNA methylome combined with chromosome cluster-oriented analysis provides an early signature for cutaneous melanoma aggressiveness.

Aberrant DNA methylation is a well-known feature of tumours and has been associated with metastatic melanoma. However, since melanoma cells are highly heterogeneous, it has been challenging to use affected genes to predict tumour aggressiveness, metastatic evolution, and patients' outcomes. We hypothesized that common aggressive hypermethylation signatures should emerge early in tumorigenesis and should be shared in aggressive cells, independent of the physiological context under which this trait arises. We compared paired melanoma cell lines with the following properties: (i) each pair comprises one aggressive counterpart and its parental cell line and (ii) the aggressive cell lines were each obtained from different host and their environment (human, rat, and mouse), though starting from the same parent cell line. Next, we developed a multi-step genomic pipeline that combines the DNA methylome profile with a chromosome cluster-oriented analysis. A total of 229 differentially hypermethylated genes was commonly found in the aggressive cell lines. Genome localization analysis revealed hypermethylation peaks and clusters, identifying eight hypermethylated gene promoters for validation in tissues from melanoma patients. Five Cytosine-phosphate-Guanine (CpGs) identified in primary melanoma tissues were transformed into a DNA methylation score that can predict survival (log-rank test, p=0.0008). This strategy is potentially universally applicable to other diseases involving DNA methylation alterations.

Quality control and single nucleotide resolution analysis of methylated DNA immunoprecipitation products.

DNA methylation patterns are altered in many diseases, and their analysis has become of great interest. Methylated DNA immunoprecipitation (MeDIP) is a simple method to enrich the methylated fraction of the genome. However, it has been difficult to assess the quality and the detailed methylation patterns of the immunoprecipitated DNA. Here we present a simple method for the analysis of the immunoprecipitated DNA at single nucleotide resolution by bisulfite treatment and pyrosequencing of genomic regions. The presented method can be used as an initial quality measure prior to genome-wide read-out technologies such as microarrays and second-generation sequencing.

Improvements and inter-laboratory implementation and optimization of blood-based single-locus age prediction models using DNA methylation of the ELOVL2 promoter.

Several blood-based age prediction models have been developed using less than a dozen to more than a hundred DNA methylation biomarkers. Only one model (Z-P1) based on pyrosequencing has been developed using DNA methylation of a single locus located in the ELOVL2 promoter, which is considered as one of the best age-prediction biomarker. Although multi-locus models generally present better performances compared to the single-locus model, they require more DNA and present more inter-laboratory variations impacting the predictions. Here we developed 17,018 single-locus age prediction models based on DNA methylation of the ELOVL2 promoter from pooled data of four different studies (training set of 1,028 individuals aged from 0 and 91 years) using six different statistical approaches and testing every combination of the 7 CpGs, aiming to improve the prediction performances and reduce the effects of inter-laboratory variations. Compared to Z-P1 model, three statistical models with the optimal combinations of CpGs presented improved performances (MAD of 4.41-4.77 in the testing set of 385 individuals) and no age-dependent bias. In an independent testing set of 100 individuals (19-65 years), we showed that the prediction accuracy could be further improved by using different CpG combinations and increasing the number of technical replicates (MAD of 4.17).

Tumor DNA hypomethylation of LINE-1 is associated with low tumor grade of breast cancer in Tunisian patients.

DNA hypomethylation of long interspersed repetitive DNA retrotransposon (LINE-1) and Alu repeats elements of short interspersed elements family (SINEs) is an early event in carcinogenesis that causes transcriptional activation and leads to chromosomal instability. In the current study, DNA methylation levels of LINE-1 and Alu repeats were analyzed in tumoral tissues of invasive breast cancer in a Tunisian cohort and its association with the clinicopathological features of patients was defined. DNA methylation of LINE-1 and Alu repeats were analyzed using pyrosequencing in 61 invasive breast cancers. Median values observed for DNA methylation of LINE-1 and Alu repeats were considered as the cut-off (59.81 and 18.49%, respectively). The results of the current study demonstrated a positive correlation between DNA methylation levels of LINE-1 and Alu repeats (rho=0.284; P<0.03). DNA hypomethylation of LINE-1 was also indicated to be associated with low grade (P=0.023). To the best of our knowledge, the current study is the first study regarding DNA methylation of LINE-1 and Alu repeats element in breast cancer of the Tunisian population. The results of the current study suggest that, since hypomethylation of LINE-1 is associated with low grade, it could be used as a biomarker for prognosis for patients with breast cancer.

Evaluation of six blood-based age prediction models using DNA methylation analysis by pyrosequencing.

DNA methylation has been identified as the most promising molecular biomarker for the prediction of age. Several DNA methylation-based models have been proposed for age prediction based on blood samples, using mainly pyrosequencing. These methods present different performances for age prediction and have rarely, if ever, been evaluated and intercompared in an independent validation study. Here, for the first time, we evaluate and compare six blood-based age prediction models (Bekaert1, Park2, Thong3, Weidner4, and the Zbiec-Piekarska 15 and Zbiec-Piekarska 26), using DNA methylation analysis by pyrosequencing on 100 blood samples from French individuals aged between 19-65 years. For each model, we perform correlation analysis and evaluate age-prediction performance (mean absolute deviation (MAD) and standard error of the estimate (SEE)). The best age-prediction performances were found with the Bekaert and Thong models (MAD of 4.5-5.2, SEE of 6.8-7.2), followed by the Zbiec-Piekarska 1 model (MAD of 6.8 and SEE of 9.2), while the Park, Weidner and Zbiec-Piekarska 2 models presented lower performances (MAD of 7.2-8.7 and SEE of 9.2-10.3). Given these results, we recommend performing systematic, independent evaluation of all age prediction models on a same cohort to validate the different models and compare their performance.

Local Inhibition of MEK/Akt Prevents Cellular Growth in Human Congenital Melanocytic Nevi.

The management of large congenital melanocytic nevi (lCMN) is based exclusively on iterative surgical procedures in the absence of validated medical therapy. The aim of our study was to develop an intra-lesional medical treatment for lCMN. Seventeen patients harboring NRAS-mutated lCMN were included. Nevocytes obtained from lCMN displayed an overactivation of mitogen-activated protein kinase and phosphoinositide 3-kinase (Akt) pathways. Mitogen-activated protein kinase/extracellular signal-regulated kinase (MEK) and Akt inhibitors reduced the nevosphere diameter in sphere-forming assays, as well as cell viability and proliferation in in vitro assays. Standardized lCMN explants were then cultured ex vivo with the same inhibitors, which induced a decrease in MelanA+ and Sox10+ cells in both epidermis and dermis. Finally, intradermal injections of these inhibitors were administered within standardized lCMN xenografts in Rag2-/- mice. They induced a dramatic decrease in nevocytes in treated xenografts, which persisted 30 days after the end of treatment. Using original nevus explant and xenograft preclinical models, we demonstrated that intradermal MEK/Akt inhibition might serve as neoadjuvant therapy for the treatment of NRAS-mutated congenital melanocytic nevi to avoid iterative surgeries.