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Expanding the phenotype of E318K (c.952G > A) MITF germline mutation carriers: case series and review of the literature

Abstract

Background

The microphthalmia-associated transcription factor gene (MITF) belongs to the MYC supergene family and plays an important role in melanocytes’ homeostasis. Individuals harboring MITF germline pathogenic variants are at increased risk of developing cancer, most notably melanoma and renal cell carcinoma.

Case presentation

We describe a cohort of ten individuals who harbor the same MITF c.952G > A (p.Glu 318Lys), or p.E318K, germline pathogenic variant. Six carriers developed at least one malignancy (4 cases of breast cancer; 1 cervical cancer; 1 colon cancer; 1 melanoma; 1 ovarian/fallopian tube cancer). A significant phenotypic heterogeneity was found among these individuals and their relatives. Breast cancer was, overall, the most frequent malignancy observed in this case series, with 13 occurrences of 60 (21.67 %) total cancer cases described among the probands and their relatives.

Conclusions

Our retrospective analysis data raise the hypothesis of a possible association of the MITF p.E318K pathogenic variant with an increased risk of breast cancer.

Peer Review reports

Introduction

The microphthalmia-associated transcription factor gene (MITF) plays an important role in melanocytes’ homeostasis [1]. It is one of the helix-loop-helix leucine-zipper transcription factors that are part of the MYC supergene family [2]. There are nine different isoforms of MITF (-A, -J, -C, -MC, -E, -H, -D, -B and -M), each one with a 5’ exon specificity. Nevertheless, these isoforms have exons 2 to exon 9 in common, which encode the transcription factors` functional domains, that include the transactivation domain and the basic helix-loop-helix leucine-zipper [3]. The bHLH-Zip is formed by three regions: the basic motif, the helix-loop-helix motif and the leucine-zipper motif. The latter two are important for the interaction of the melanocyte inducing transcription factors with each other or with other proteins with a similar structure. As a result, a homodimer and/or heterodimer with transcription factor’s functions is generated [4]. The basic motif binds to some specific areas of the DNA, in order to facilitate the dimers to regulate genes’ activity. There are other functional domains other than the bHLH-Zip, which play a role in post-transcriptional activity, through ubiquitination, phosphorylation or other processes [5].

The M-isoform is most expressed in the melanocyte lineage and it activates transcription of genes involved in melanogenesis and pigmentation, as well as other genes that are crucial for cells’ differentiation, survival, invasiveness and metabolism [4]. The A-isoform is expressed in the kidney. However, its exact role in renal cells transformation has not been quite well defined [2]. MITF is also involved in development of other cell types, such as osteoclasts and mast cells. MITF loss-of-function mutations cause inherited disorders in neural crest development, Tietz and type 2a Waardenburg syndromes, characterized by pigmentation abnormalities and other alterations. Germline MITF mutations have been described to increase the risk of melanoma and, more recently, kidney cancer [1].

Development of cancer is a multifactorial process. Tumoral cells can own a capacity of resisting cell death, evading growth suppressors, sustaining proliferative signaling, inducing angiogenesis, replicative immortality and activating invasion and metastasis. Genomic instability is one of the processes that lead to these hallmarks [6]. Germline pathogenic variants may be a component which initiates this genome instability and, hence, cancer formation [7].

The emergence of next-generation sequencing (NGS) panels for inherited cancer has enabled analysis of a wide variety of genes. Historically, germline testing for a limited number of genes was offered for patients who met phenotypic criteria for a hereditary cancer syndrome. Currently, with spreading of NGS panels, the same phenotype can be associated with different pathogenic germline variants. Moreover, a phenotypic heterogeneity in patients carrying the same germline mutation has also been observed [89].

We hereby describe the characteristics of ten patients who harbor a MITF germline pathogenic variant. These cases illustrate the phenotypic heterogeneity among patients carrying the same germline mutation.

Methods

All patients included were evaluated at the Oncogenetics Unit at Hospital Sírio-Libanês, located in São Paulo, Brazil. A retrospective analysis was conducted at the Registry of Hereditary Cancer Syndromes at Hospital Sirio-Libanes for individuals harboring MITF pathogenic variants identified in a multigene panel of 84 genes (Invitae® multi-cancer panel). Confirmation of the pathogenic variants identified in the NGS followed Invitae®’s routine, which performs other assays, such as Sanger sequencing, Pacific Biosciences SMRT sequencing, MLPA, MLPA-seq or Array CGH, for all clinically significant observations, except for individually validated variants and variants previously confirmed in a first-degree relative focused in only a select subset of patients [1011].

Clinical data from medical charts were available and each patient’s familial history of cancer was collected. Descriptive analyses of patients’ pedigree charts were performed to extract genotype-phenotype correlations. Odds Ratio for pathogenic MITF allele frequency was calculated with an online calculator (https://www.medcalc.org/calc/odds_ratio.php). Median allele frequency of MITF in our findings was compared to the MAF in an Online Archive of Brazilian Mutations (http://abraom.ib.usp.br), which contains genomic variants obtained with whole-exome and whole-genome sequencing from SABE, a census-based sample of elderly individuals from São Paulo, Brazil’s largest city (http://abraom.ib.usp.br) [12]. Patient data are presented in an aggregated or non-identifiable manner and no informed consent was deemed necessary by the institutional ethics committee board.

Results

During the period comprised between the first and last test positive for a pathogenic variant in MITF (07/22/2016 to 12/19/2019), a total of 1056 multigene NGS panels were performed in our institution, of which ten had identified a pathogenic variant in MITF (0.9 %). Here we describe these ten unrelated probands that carried the germline MITF c.952G > A (p. Glu318Lys) pathogenic variant. All probands were submitted to testing with a multigene panel of 84 genes (Invitae® multi-cancer panel). Confirmation assays were performed according to Invitae®’s criteria. This multi-cancer panel offers only the analysis of the c.952G > A (p.Glu318Lys) variant in MITF, according to their national guidelines. Hence, no other pathogenic variants in MITF were searched in our cohort. The Odds Ratio for pathogenic MITF allele frequency in our population compared to general Brazilian population was 22.4 (95 % CI 11.93 to 42.05, p < 0.0001). We do recognize that this increased OR may be due to our highly selected population (i.e., patients evaluated in an Oncogenetics Unit), compared to the general Brazilian population.

Among the ten selected probands, no additional pathogenic or likely pathogenic variants were found in any other analyzed genes, except for the fumarate hydratase (FH) gene alteration described below. Variants of uncertain significance were not described due to their currently unknown clinical relevance. Six of the probands had a history of cancer (Table 1). Indications for testing varied greatly among the analyzed patients. The six aforementioned individuals with a history of malignancy were referred to genetic counselling due to a combination of personal and familial history. The four remaining probands were referred solely due to a positive family history for malignancies, as described below.

Table 1 Summary of personal and family history of cancer in MITF E318K germline mutation families

A total of 54 malignancies were reported among 337 relatives registered in our database. A review of the probands’ family histories revealed that 19 of their 74 (25.67 %) first-degree relatives (FDR), as well as 27 of 186 (14.52 %) second-degree relatives (SDR) and 8 of 77 (10.39 %) of third-degree relatives (TDR), had at least one diagnosed malignancy throughout their lives (Table 2).

Table 2 Number of patients with cancer among probands that carried MITF p.E318K variant and their relatives, compared to the total of relatives mentioned on familial history

Among the probands with a positive history of cancer, four (4/8) females developed breast cancer between ages 49 and 57. One of these individuals also had a history of cervical cancer at age 30. One proband had a history of both ovary/fallopian tube cancer and melanoma after age 52, and another had a history of colon cancer. Among the four other probands, one had a history of a benign phyllodes tumor. The other three were asymptomatic and had no known history of neoplasms or malignancies (Table 3). Screening for melanoma with annual dermatoscopy was recommended for all probands regardless of previous history of cancer. Screening for kidney tumors was not routinely recommended due to lack of evidence to support its benefit. The possibility was discussed with the probands and regular ultrasounds for kidney assessment were performed based on patient’s choice.

Table 3 Cancer history among probands that carried MITF p.E318K variant and their relatives

Among the probands’ FDR, breast cancer was the most frequently observed malignancy, with four individuals with a positive history, two of them with bilateral breast cancers. Prostate and gastric cancers were also observed in four cases each in this group. Colon cancer was the most frequent malignancy among SDR, with seven cases described, followed by prostate cancer, with four cases, and breast cancer, with two cases of unilateral disease and one case of bilateral disease. Three occurrences of pancreatic cancer were described in SDR. Colon and breast cancers were also the most frequent cancer types diagnosed in TDR, with three and two cases respectively. Cascade testing for family members was recommended in all cases but definite results are not available at the moment.

Overall, breast cancer was the most frequently observed malignancy among probands and their relatives, accounting for 13 (considering bilateral cases as single occurrences) out of 60 (21.67 %) of total cancer cases. Analyzing individual family histories separately (Table 1), heterogeneous patterns of cancer incidence with diverse histologic subtypes arose:

  • Proband 1 is an asymptomatic male with no personal history of cancer. His sister had ovary cancer at age 42 and his brother had a history of basal cell carcinoma (BCC) of the skin. Three of his maternal aunts, as well as one maternal cousin, had colon cancer.

  • Proband 2 is a female with a history of breast and cervical cancers. Her father had a history of prostate cancer at an early age and her mother had a diagnosis of colon cancer after age 75. One of her paternal uncles had a history of multiple malignancies (bladder, testicular, colon and prostate cancer), and her maternal grandfather was diagnosed with leukemia at an advanced age.

  • Proband 3 is a female diagnosed with breast cancer under the age of 50. A brother, two of her mother’s siblings and a maternal female cousin all had a positive history for colon cancer. Her father had prostate cancer and a maternal aunt had a history of breast cancer.

  • Proband 4 is also a female presenting with breast cancer, with a maternal aunt with a history of breast cancer.

  • Proband 5 is a female who had colon cancer at age 62. Her paternal grandmother, her father and two of her siblings had gastric cancer, and one of her nephews had colon cancer.

  • Proband 6 is a female with a history of breast cancer and two sisters also with breast cancer, one of them with bilateral malignancies. Her mother’s family has a history of prostate, pancreatic, gastric and other non-specified cancers.

  • Proband 7 is an asymptomatic female. Two of her brothers were diagnosed with prostate cancer, both of them at age 50, and her mother had a history of ovarian cancer.

  • Proband 8 is a female who had an ovarian/fallopian tube carcinoma and a cutaneous melanoma diagnosed almost three years apart. Her father had gastric cancer and her father’s family has a history of multiple cases of breast cancer, including a paternal aunt and her daughter with bilateral and unilateral breast malignancies respectively.

  • Proband 9 is an asymptomatic female whose mother had synchronous bilateral breast cancer under age 50. Her mother’s family had a positive history for breast and colon cancer, and her maternal grandfather and one maternal uncle had a history of pancreatic cancer.

  • Proband 10 is an asymptomatic male who also carries a FH likely pathogenic variant (c.1431_1433dup). Her mother had breast cancer and two maternal uncles and one paternal uncle have positive histories for malignancies, one of the maternal uncles with a history of head and neck cancer associated with tobacco use, and the two others diagnosed with prostate cancer after age 70.

Discussion

The MITF (microphthalmia-associated transcription factor) gene encodes a protein called melanocyte inducing transcription factor. This protein helps to control the development and function of melanocytes, retinal pigment epithelial cells (specialized cells in the eye), osteoclasts and mast cells. In the melanocytes, its dimers bind to genes that control the production of the melanin pigment. Melanocytes are also found in the inner ear and play an important role in hearing. The retinal pigment epithelial cells nourish the retina, which detects light and color [13]. MITF loss-of-function mutations have been associated with autosomal-dominant syndromes characterized by hypopigmentation and sensorineural hearing loss, such as Waardenburg Syndrome (WS) and Tietz Syndrome (TS) [1].

Mutations in the MITF gene can alter the helix-loop-helix or leucine-zipper motif or even result in an abnormally small version of the protein, which has been identified in people with Waardenburg syndrome type 2 A (WS2A). More than 35 mutations in MITF have been associated with WS2A. Mutations may disrupt the formation of dimers, impairing the development of melanocytes and resulting in a shortage of melanocytes in certain areas of the skin, hair, eyes, and inner ear [13]. There are four types of WS described (WS type 1, 2, 3 and 4), all with similar clinical features, including sensorineural hearing loss, hypopigmentation of skin and hair and pigmentary disturbances of the irises (hypoplastic blue irises and/or heterochromia). WS1 and WS3 are associated with mutations in PAX3, and WS4 has been shown to be due to mutations in the receptor–ligand pair EDN3/EDNRB or in the transcription factor SOX10 [14].

The MITF mutations that cause Tietz syndrome either delete or change a single amino acid in the basic motif region of the melanocyte, inducing the transcription factor structure to create abnormal dimers. As a result, most of the dimers are unavailable to be transported into the cell nucleus and bind to DNA, affecting the development of melanocytes and the production of melanin. Tietz Syndrome is a fully penetrant autosomal-dominant inheritance characterized by profound congenital hearing loss and generalized hypopigmentation. Researchers suggest that Tietz syndrome may be a severe form of Waardenburg syndrome [1315].

MITF also plays an important role in melanoma. MITF gene amplification has been observed in 20-30 % of metastatic melanoma and is associated with decreased overall survival [16]. MITF mutations found in metastatic melanoma samples were able to bind DNA and activate expression of melanocyte-specific promoters; some showed increased potential to form colonies [13]. At the transcriptional level, MITF controls genes involved in cell survival (BCL2, HIF1A, BCL2A1), migration (DIAPH1, MET) and proliferation (CDK2, TBX2, CDKN1B), providing important signals for growth of melanoma cells [17]. Strub and colleagues showed that sustained inhibition of MITF induces a G0/G1 growth arrest on cells and their entrance into senescence, a program associated with cessation of the proliferation potential [18]. MITF in conjunction with mutant BRAF(V600E), an activating mutation commonly present in melanocytic lesions, trigger transformation of immortalized melanocytes, functioning as a melanoma oncogene. Reduction of MITF activity sensitizes melanoma cells to therapeutic agents. Hence, targeting MITF in combination with BRAF or cyclin-dependent kinase may offer a rational therapeutic way on melanoma [16].

Yokoyama and colleagues performed the whole-genome sequencing of probands from several melanoma families in order to identify genes associated with familial melanoma. They identified one individual carrying a germline missense substitution p.E318K (c.952G > A, NM000248.3) in the melanoma-lineage-specific oncogene MITF. The co-segregated variant with melanoma indicated a possible intermediate-risk variant (log of odds score of 2.7 under a dominant model). Consistent with this, the variant was found to double the risk of melanoma for carriers in a large Australian population-based case-control study. The same effect was observed in a case-control study in the United Kingdom [19]. Moreover, the variant was found with a similar allele frequency in a group of Italian melanoma patients [20] and in another Australian study [21]. These studies show that the MITF E318K variant is enriched in those with multiple primary melanomas or a family history of melanomas, suggesting that the mutation in MITF predisposes to familial and sporadic melanoma. This mutation is very rare in the general population, with an allele frequency raging from 0.003 in the French population to 0.0085 in the UK population [20]. In the Brazilian population, a study evaluating the prevalence of Germline TERT and MITF mutations in Brazilian Melanoma-Prone Patients showed an allele frequency of 0.004 in control group (1 out of 125 healthy controls) and 0,01 in melanoma patients’ cohort [22]. An estimated 5-10 % of all cutaneous melanoma cases occur in patients with a strong family history of melanoma. About 45 % of these familial melanomas have been attributed to inheritance of a mutation in a highly penetrant predisposition gene: CDKN2A (cyclin-dependent kinase 2 A) and less frequently in CDK4 (cyclin-dependent kinase 4), BAP1 (breast cancer associated protein-1), TERT (telomerase reverse transcriptase), and POT1 (protection of telomeres 1). The other cases of familial melanoma are likely due to inheritance of lower-penetrance predisposition genes such as MC1R (melanocortin 1 receptor) and MITF in combination with inheritance of polymorphisms. In addition, there may be shared environmental exposures, culminating in a familial pattern of melanoma inheritance. Melanoma also might emerge as a “subordinate cancer”, in the context of other cancer syndromes (Cowden syndrome, Li Fraumeni syndrome, breast and ovarian cancer syndrome), which carry a poorly defined, but elevated risk of this malignancy [2324].

The p.E318K mutation alters MITF SUMOylating, increasing the MITF transcriptional activity with upregulation of downstream genes. Two SUMOylating sites, one in the N-terminal region and the other in the C-terminal region, have been identified in the MITF sequence. Codon 318 is located in a small-ubiquitin-like modifier (SUMO) consensus YKXE site in the C-terminal part of MITF, and germline missense substitution in MITF (Mi-E318K) changes the glutamic acid at codon 318 into a lysin, severely impairing MITF SUMOylation. An analysis of genome wide occupancy reveals a global increase in Mi-E318K occupied loci, indicating that SUMOylation-deficient MITF E318K protein may result in the regulation of distinct sets of genes. Transcriptomic analysis indicates that the MITF E318K signature is related to cell growth, proliferation and inflammation [2].

Clinically, characteristics that have been associated with the p.E318K mutation in the oncogene MITF are high nevus counts, development of multiples primary melanomas, onset of melanoma before the age of 40, and non-blue eye color [25]. Although rare, other cancers have been associated with this variant. In a study performed by Ghiorzo et al. in an Italian population, an association with nodular melanomas in E318K-positive patients was observed. In this study, the E318K variant appeared to be involved in the development of pancreatic cancer in melanoma-prone families. This finding provided the first indication that MITF may be involved in the development of PC, in melanoma families [20].

A rare functional variant p.E318K in the MITF gene has also been implicated in renal cell carcinoma susceptibility. Mi-E318K enhanced MITF protein binds to the HIF1A promoter and increases its transcriptional activity, compared to wild-type MITF. HIF1A is a pathway targeted by kidney cancer susceptibility genes [26]. Bertolotto and colleagues showed that Mi-E318K occurred at a significantly higher frequency in patients affected with melanoma, renal cell carcinoma (RCC) or both cancers, than in controls. Mi-E318K carriers had an increased risk higher than fivefold of developing melanoma, RCC or both cancers. Therefore, they proposed that MITF might have a role in conferring a genetic predisposition to co-occurring melanoma and RCC. In melanoma and renal carcinoma cells, MITF E318K appears to enhance clonogenicity, migration and invasion, consistent with a gain-of-function role in tumorigenesis [2]. Interestingly, only one case of melanoma and no cases of renal cancer were found in our cohort, which may suggest that other risk factors should be taken into consideration when assessing the overall hereditary risk of these tumors in patients who carry the E318K variant. The association between this variant and melanoma, renal cancer, as well as other malignancies, may be related to shared environmental or polygenic risk factors, rather than this specific MITF polymorphism. In both contexts, familial history should be carefully evaluated.

In addition to the relationship of this variant with melanoma, RCC and pancreatic cancer, a study identified its association with pheochromocytoma/paraganglioma [27]. A recent meta-analysis of data from nine published studies regarding the relationship of personal history of melanoma and MITF E318K demonstrated that MITF E318K was significantly correlated with melanoma. A systematic review was also performed, evaluating the prevalence of the MITF(E318K) variant in multiple cancer cohorts by germline whole-exome sequencing data from the TCGA panel and from several genetically enriched cohorts. Among the 25 cancers tested (including RCC, PC, pheochromocytoma, paraganglioma and breast cancer), uterine carcinosarcoma (OR 9.24; 95 % CI 2.08–37.17; p = 0.024) and melanoma (OR 2.15; 95 % CI 1.03–4.37; p = 0.061) exhibited the strongest associations with the variant [28].

There is paucity of data related to germline changes in MITF and predisposition to breast cancer. A Polish population-based study examined the prevalence of the E318K and V320I MITF mutation germline in cancer patients and its association with the risk of cancers of different sites, such as melanoma or kidney, lung, prostate, colon or breast cancer. This study showed no statistically significant association between the variants and the tumors analyzed, including breast cancer. In the control population of this study, the E318K variant was detected in 0.19 % and the V320I variant was detected in 0.14 % [29]. In the systematic review and meta-analysis by Guhan et al., the risk of developing breast cancer in MGH genetically-enriched breast cancer with the MITF(E318K) mutation was increased, but significance was not reached (OR 2.67; 95 % CI 0.87–7.83; p = 0.111) [27]. Nevertheless, breast cancer was one of the most frequent malignancies in our probands, and also among their families.

Data regarding potential roles of MITF in oncogenic events and metabolic changes in breast cancer cells are indeed scant but some significant correlations have been demonstrated. In a Korean study designed to characterize the somatic mutation profiles in patients with TNBC, the description of homozygous deletion of MITF, EPHA5 and ACSL3 were significantly associated with an increased risk of recurrence or distant metastasis in patients treated with adjuvant chemotherapy [30]. In a more recent analysis, Osmanbeyoglu and colleagues evaluated the impact of the MITF transcription factor on gene expression in basal breast cancer cells. They found that MITF silencing frequently led to downregulation of pro-oncogenic factors, as c-Myc, c-Myc target genes, IL1B, NT5E (CD73) and molecules related to tumor immune evasion, as well as to consistent upregulation of genes associated with immune activation and cell adhesion, thus suggesting a tumor-promoting role for MITF activity in basal breast cancer [31]. Furthermore, as mentioned previously, the role of MITF in the regulation of the BCL2 gene activity has already been studied in melanoma cells. In that regard, Haq and colleagues demonstrated direct activation of BCL2A1 by MITF and significant reduction of BCL2A1 mRNA levels after MITF knockdown [32]. The increase of BCL2A1 activity is known to lead to suppression of apoptosis and appears to impact on cell survival and resistance to treatment in breast cancer [3334]. Therefore, it is possible that increased MITF activity may be implicated in survivability changes in breast cancer cells.

Another recent work of interest, a comprehensive review by Goding and Arnheiter, delineates multiple MITF regulation activities and interactions associated with cell cycle regulation and carcinogenesis. For instance, the authors suggest that MITF high activity may increase expression of CDKN1A and CDKN2A and induce a p21/p16-dependent cell cycle arrest [35]. They also consider MITF to be an up-regulator of CDK2 expression and a positive enhancer of cyclin genes CCNB1 and CCND1. CDK2 activity and CDKN2A and CCNB1 overexpression have been consistently linked to breast cancer cell development and survival [35363738]. Moreover, an interesting observation made by Goding and Arnheiter regards the shared characteristics in function and mode of regulation of TFEB/TFE3 and nonmelanocyte isoforms of MITF and the inference that, since highly related, those factors may also share a large number of target genes [35]. Considering that TFEB has been implicated likewise in breast cancer development as an autophagy inducing factor and via other mechanisms[394041], investigating these similarities between MITF and TFEB might lead to a different potential explanation for the role of mutated MITF in the scenario discussed in our case series. Evidence hence supports the notion that MITF might play an ancillary part in breast cancer oncogenesis via multiple interactions of its transcription factor. Consequently, a mutated MITF with high transcriptional activity might help to enable the crosstalk of breast cancer cells with their tumor microenvironment and to enhance their survival and growth. We hypothesize that the presence of the p.E318K MITF germline variant might lead to augmented expression of the aforementioned pro-oncogenic, and possibly antiapoptotic, genes, thus facilitating oncogenic events not only in melanoma but also in breast cancer cells and possibly other tumors.

Based only on the presence of their pathogenic p.E318K variant, the patients described in this study would not necessarily qualify for screening and follow-up for cancers other than melanoma, under current guidelines recommendations. It is important to notice, though, that with the exponential uptake of next-generation sequencing–based hereditary cancer panels, the analysis of large data sets has furthered our interpretation of well characterized hereditary cancer predisposition syndromes’ phenotypic spectra. In a study with 165,000 patients undergoing hereditary cancer predisposition testing, gene-specific associations were evaluated with six different phenotypes, as well as the performance of NCCN genetic testing criteria for BRCA-related breast and/or ovarian cancer syndrome and Lynch syndrome. Among patients who met testing criteria for only BRCA1/2 or only Lynch syndrome and presented positive pathogenic variants (PV), mutations were present in the respective genes in 33.1 and 46.2 %. Conversely, 5.8 % of patients with PVs in BRCA1/2 and 26.9 % of patients with PVs in Lynch syndrome genes did not meet respective testing criteria [8]. A prospective study compared the proportion of pathogenic germline variants detected by universal tumor–normal sequencing with the proportion that would have been detected based on clinical guidelines. Interestingly, 55.5 % of actionable germline findings would not have been detected in these cancer patients if only those who met established guidelines criteria were tested [42]. Care should be taken when facing a patient with no established guidelines criteria for specific syndromes, but with a phenotype that may suggest a germline pathogenic variant.

Our study has limitations. Our sample of 10 probands is small, and it does not allow for any definitive conclusion. Hence, it must be regarded as hypothesis generating. In addition, segregation analyses were not performed, since only a small number of relatives was tested for the MITF E318K pathogenic variant, due to access and cost issues. However, we believe our findings are significant and may lead to future studies that can expand the knowledge regarding the role of MITF in predisposition to different solid tumors and can aid in delineating specific guidelines to other scenarios, including breast cancer.

Conclusions

Breast cancer was one of the most frequent malignancies in our probands and also among their families. Our retrospective analysis data raise the hypothesis of a possible association of the MITF p.E318K pathogenic variant with an increased risk of breast cancer. Additional studies are definitely needed to identify and report more breast cancer patients with E318K mutations, in order to clarify its role as a risk factor or pathogenic variant contributing to the development of breast cancer. Better estimates of the associated risk will improve the genetic counseling and screening recommendations.

Availability and data materials

The data that support the findings of this study are available from the corresponding author, LJCO, upon reasonable request.

References

  1. Paillerets BB, Lesueur F, Bertolotto C. A germline oncogenic MITF mutation and tumor susceptibility. Eur J Cell Biol. 2014;93(1–2):71–5.

    Article  Google Scholar 

  2. The French Familial Melanoma Study Group. Bertolotto C, Lesueur F, Giuliano S, Strub T, de Lichy M, et al. A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma. Nature 2011;480(7375):94–8.

    Article  Google Scholar 

  3. Levy C, Khaled M, Fisher DE. MITF: master regulator of melanocyte development and melanoma oncogene. Trends Mol Med. 2006;12(9):406–14.

    Article  CAS  Google Scholar 

  4. Kawakami A, Fisher DE. The master role of microphthalmia-associated transcription factor in melanocyte and melanoma biology. Lab Invest. 2017;97(6):649–56.

    Article  CAS  Google Scholar 

  5. Steingrímsson E, Copeland NG, Jenkins NA. Melanocytes and the Microphthalmia Transcription Factor Network. Annu Rev Genet. 2004;38(1):365–411.

    Article  Google Scholar 

  6. Hanahan D, Weinberg RA. Hallmarks of Cancer: The Next Generation. Cell. 2011;144(5):646–74.

    Article  CAS  Google Scholar 

  7. Abdel-Rahman W. Genomic Instability and Carcinogenesis: An Update. Curr Genomics. 2008;9(8):535–41.

    Article  CAS  Google Scholar 

  8. LaDuca H, Polley EC, Yussuf A, Hoang L, Gutierrez S, Hart SN, et al. A clinical guide to hereditary cancer panel testing: evaluation of gene-specific cancer associations and sensitivity of genetic testing criteria in a cohort of 165,000 high-risk patients. Genet Med. 2020;22(2):407–15.

    Article  CAS  Google Scholar 

  9. Susswein LR, Marshall ML, Nusbaum R, Vogel Postula KJ, Weissman SM, Yackowski L, et al. Pathogenic and likely pathogenic variant prevalence among the first 10,000 patients referred for next-generation cancer panel testing. Genet Med. 2016;18(8):823–32.

    Article  CAS  Google Scholar 

  10. Invitae corporation. Invitae confirmation for clinical genetic testing [Internet]. [cited 2021 Mar 4]. Available from: https://www.invitae.com/en/validation-studies/.

  11. Lincoln SE, Truty R, Lin C-F, Zook JM, Paul J, Ramey VH, et al. A Rigorous Interlaboratory Examination of the Need to Confirm Next-Generation Sequencing–Detected Variants with an Orthogonal Method in Clinical Genetic Testing. J Mol Diagn. 2019;21(2):318–29.

    Article  CAS  Google Scholar 

  12. Naslavsky MS, Scliar MO, Yamamoto GL, Wang JYT, Zverinova S, Karp T, et al. Whole-genome sequencing of 1,171 elderly admixed individuals from the largest Latin American metropolis (São Paulo, Brazil) [Internet]. Genomics; 2020 Sep [cited 2021 Jun 24]. Available from: https://doi.org/10.1101/2020.09.15.298026.

  13. Grill C, Bergsteinsdóttir K, Ögmundsdóttir MH, Pogenberg V, Schepsky A, Wilmanns M, et al. MITF mutations associated with pigment deficiency syndromes and melanoma have different effects on protein function. Hum Mol Genet. 2013;1(21):4357–67.

    Article  Google Scholar 

  14. Read AP, Newton VE. Waardenburg syndrome. J Med Genet. 1997;34(8):656–65.

    Article  CAS  Google Scholar 

  15. Léger S, Balguerie X, Goldenberg A, Drouin-Garraud V, Cabot A, Amstutz-Montadert I, et al. Novel and recurrent non-truncating mutations of the MITF basic domain: genotypic and phenotypic variations in Waardenburg and Tietz syndromes. Eur J Hum Genet. 2012;20(5):584–7.

    Article  Google Scholar 

  16. Garraway LA, Widlund HR, Rubin MA, Getz G, Berger AJ, Ramaswamy S, et al. Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma. Nature. 2005;436(7047):117–22.

    Article  CAS  Google Scholar 

  17. Carreira S, Goodall J, Denat L, Rodriguez M, Nuciforo P, Hoek KS, et al. Mitf regulation of Dia1 controls melanoma proliferation and invasiveness. Genes Dev. 2006;20(24):3426–39.

    Article  CAS  Google Scholar 

  18. Strub T, Giuliano S, Ye T, Bonet C, Keime C, Kobi D, et al. Essential role of microphthalmia transcription factor for DNA replication, mitosis and genomic stability in melanoma. Oncogene. 2011;30(20):2319–32.

    Article  CAS  Google Scholar 

  19. Yokoyama S, Woods SL, Boyle GM, Aoude LG, MacGregor S, Zismann V, et al. A novel recurrent mutation in MITF predisposes to familial and sporadic melanoma. Nature. 2011;480(7375):99–103.

    Article  CAS  Google Scholar 

  20. Ghiorzo P, Pastorino L, Queirolo P, Bruno W, Tibiletti MG, Nasti S, et al. Prevalence of the E318K MITF germline mutation in Italian melanoma patients: associations with histological subtypes and family cancer history. Pigment Cell Melanoma Res. 2013;26(2):259–62.

    Article  CAS  Google Scholar 

  21. Berwick M, MacArthur J, Orlow I, Kanetsky P, Begg CB, Luo L, et al. MITF E318K’s effect on melanoma risk independent of, but modified by, other risk factors. Pigment Cell Melanoma Res. 2014;27(3):485–8.

    Article  CAS  Google Scholar 

  22. Aguiar TPD. Low Frequency of Germline TERT and MITF Mutations in Brazilian Melanoma- Prone Patients. Hered Genet [Internet]. 2014 [cited 2021 Mar 21];03(03). Available from: http://omicsonline.org/open-access/low-frequency-of-germline-tert-and-mitf-mutations-in-brazilian-melanoma-prone-patients-2161-1041-3-1000135.php?aid=30386.

  23. Ransohoff KJ, Jaju PD, Tang JY, Carbone M, Leachman S, Sarin KY. Familial skin cancer syndromes. J Am Acad Dermatol. 2016;74(3):423–34.

    Article  Google Scholar 

  24. Leachman SA, Lucero OM, Sampson JE, Cassidy P, Bruno W, Queirolo P, et al. Identification, genetic testing, and management of hereditary melanoma. Cancer Metastasis Rev. 2017;36(1):77–90.

    Article  CAS  Google Scholar 

  25. Rossi M, Pellegrini C, Cardelli L, Ciciarelli V, di Nardo L, Fargnoli MC. Familial melanoma: diagnostic and management implications. Dermatol Pract Concept. 2019;10–6.

  26. Cheli Y, Ohanna M, Ballotti R, Bertolotto C. Fifteen-year quest for microphthalmia-associated transcription factor target genes: Microphthalmia-associated transcription factor target genes. Pigment Cell Melanoma Res. 2010;23(1):27–40.

    Article  CAS  Google Scholar 

  27. Castro-Vega LJ, Kiando SR, Burnichon N, Buffet A, Amar L, Simian C, et al. The MITF, p.E318K Variant, as a Risk Factor for Pheochromocytoma and Paraganglioma. J Clin Endocrinol Metab. 2016;101(12):4764–8.

    Article  CAS  Google Scholar 

  28. Guhan SM, Artomov M, McCormick S, Njauw C-N, Stratigos AJ, Shannon K, et al. Cancer risks associated with the germline MITF(E318K) variant. Sci Rep. 2020;10(1):17051.

    Article  CAS  Google Scholar 

  29. Gromowski T, Masojć B, Scott RJ, Cybulski C, Górski B, Kluźniak W, et al. Prevalence of the E318K and V320I MITF germline mutations in Polish cancer patients and multiorgan cancer risk-a population-based study. Cancer Genet. 2014;207(4):128–32.

    Article  CAS  Google Scholar 

  30. Jeong HM, Kim RN, Kwon MJ, Oh E, Han J, Lee SK, et al. Targeted exome sequencing of Korean triple-negative breast cancer reveals homozygous deletions associated with poor prognosis of adjuvant chemotherapy-treated patients. Oncotarget. 2017;8(37):61538–50.

    Article  Google Scholar 

  31. Osmanbeyoglu HU, Shimizu F, Rynne-Vidal A, Alonso-Curbelo D, Chen H-A, Wen HY, et al. Chromatin-informed inference of transcriptional programs in gynecologic and basal breast cancers. Nat Commun. 2019;10(1):4369.

    Article  Google Scholar 

  32. Haq R, Yokoyama S, Hawryluk EB, Jönsson GB, Frederick DT, McHenry K, et al. emopenBCL2A1emclose is a lineage-specific antiapoptotic melanoma oncogene that confers resistance to BRAF inhibition. Proc Natl Acad Sci. 2013;110(11):4321–6.

    Article  CAS  Google Scholar 

  33. Hiraki M, Maeda T, Mehrotra N, Jin C, Alam M, Bouillez A, et al. Targeting MUC1-C suppresses BCL2A1 in triple-negative breast cancer. Signal Transduct Target Ther. 2018;3(1):13.

    Article  Google Scholar 

  34. Kønig SM, Rissler V, Terkelsen T, Lambrughi M, Papaleo E. Alterations of the interactome of Bcl-2 proteins in breast cancer at the transcriptional, mutational and structural level. Berezovsky IN, editor. PLOS Comput Biol. 2019;15(12):e1007485.

  35. Goding CR, Arnheiter H. MITF-the first 25 years. Genes Dev. 2019;33(15–16):983–1007.

    Article  CAS  Google Scholar 

  36. Deng J-L, Xu Y, Wang G. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis. Front Genet. 2019;2:695.

    Article  Google Scholar 

  37. Ding K, Li W, Zou Z, Zou X, Wang C. CCNB1 is a prognostic biomarker for ER + breast cancer. Med Hypotheses. 2014;83(3):359–64.

    Article  CAS  Google Scholar 

  38. Nie L, Wei Y, Zhang F, Hsu Y-H, Chan L-C, Xia W, et al. CDK2-mediated site-specific phosphorylation of EZH2 drives and maintains triple-negative breast cancer. Nat Commun. 2019;10(1):5114.

    Article  CAS  Google Scholar 

  39. Giatromanolaki A, Sivridis E, Kalamida D, Koukourakis MI. Transcription Factor EB Expression in Early Breast Cancer Relates to Lysosomal/Autophagosomal Markers and Prognosis. Clin Breast Cancer. 2017;17(3):e119–25.

    Article  CAS  Google Scholar 

  40. Tan S, Bajalovic N, Wong ESP, Lin VCL. Ligand-activated progesterone receptor B activates transcription factor EB to promote autophagy in human breast cancer cells. Exp Cell Res. 2019;382(1):111433.

    Article  CAS  Google Scholar 

  41. Slade L, Biswas D, Ihionu F, El Hiani Y, Kienesberger PC, Pulinilkunnil T. A lysosome independent role for TFEB in activating DNA repair and inhibiting apoptosis in breast cancer cells. Biochem J. 2020;477(1):137–60.

    Article  CAS  Google Scholar 

  42. Mandelker D, Zhang L, Kemel Y, Stadler ZK, Joseph V, Zehir A, et al. Mutation Detection in Patients With Advanced Cancer by Universal Sequencing of Cancer-Related Genes in Tumor and Normal DNA vs Guideline-Based Germline Testing. JAMA. 2017;5(9):825.

    Article  Google Scholar 

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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Leandro Jonata de Carvalho Oliveira, Carla Vanessa Quirino and Janina Pontes Pisani. The first draft of the manuscript was written by Leandro Jonata de Carvalho Oliveira, Aline Bobato Lara Gongora, Felipe Sales Nogueira Amorim Canedo and Fabiola Ambrosio Silveira Lima and all authors commented on previous versions of the manuscript. Benedito Mauro Rossi and Maria Isabel Alves de Souza Waddington Achatz reviewed and refined the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Leandro Jonata Carvalho Oliveira.

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This study obtained approval from the Research Ethics Committee on 12/10/2019, CAAE 26256719.1.0000.5461.

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Research protocol did not require informed consent from the participants, since data were analyzed anonymously, and results will be presented in an aggregate manner. Therefore, patients’ identification will not occur at any time. The Ethics committee approved the exemption of informed consent.

Competing interests

Dr. Lara Gongora has received speaker honoraria from MSD and Amgem. Dr. Canedo has received speaker honoraria from MSD. The remaining authors report no conflicts of interest.

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Oliveira, L.J.C., Gongora, A.B.L., Lima, F.A.S. et al. Expanding the phenotype of E318K (c.952G > A) MITF germline mutation carriers: case series and review of the literature. Hered Cancer Clin Pract 19, 32 (2021). https://doi.org/10.1186/s13053-021-00189-8

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