Next Article in Journal
Mutation-Driven Signals of ARID1A and PI3K Pathways in Ovarian Carcinomas: Alteration Is An Opportunity
Next Article in Special Issue
p63 Is a Promising Marker in the Diagnosis of Unusual Skin Cancer
Previous Article in Journal
Short-Term Microgravity Influences Cell Adhesion in Human Breast Cancer Cells
Previous Article in Special Issue
Epidermolysis Bullosa-Associated Squamous Cell Carcinoma: From Pathogenesis to Therapeutic Perspectives
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 20
Issue 22
10.3390/ijms20225731
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Melanoma and Vitiligo: In Good Company

by
Cristina Maria Failla
1,*,†,
Maria Luigia Carbone
1,†,
Cristina Fortes
2,
Gianluca Pagnanelli
3 and
Stefania D’Atri
4
1
Experimental Immunology Laboratory, IDI-IRCCS, 00167 Rome, Italy
2
Epidemiology Unit, IDI-IRCCS, 00167 Rome, Italy
3
1st Dermatology Division, IDI-IRCCS, 00167 Rome, Italy
4
Molecular Oncology Laboratory, IDI-IRCCS, 00167 Rome, Italy
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2019, 20(22), 5731; https://doi.org/10.3390/ijms20225731
Submission received: 14 October 2019 / Revised: 10 November 2019 / Accepted: 13 November 2019 / Published: 15 November 2019
(This article belongs to the Special Issue Skin Cancer: From Pathophysiology to Novel Therapeutic Approaches)
Browse Figures
Review Reports Versions Notes

Abstract

:
Cutaneous melanoma represents the most aggressive form of skin cancer, whereas vitiligo is an autoimmune disorder that leads to progressive destruction of skin melanocytes. However, vitiligo has been associated with cutaneous melanoma since the 1970s. Most of the antigens recognized by the immune system are expressed by both melanoma cells and normal melanocytes, explaining why the autoimmune response against melanocytes that led to vitiligo could be also present in melanoma patients. Leukoderma has been also observed as a side effect of melanoma immunotherapy and has always been associated with a favorable prognosis. In this review, we discuss several characteristics of the immune system responses shared by melanoma and vitiligo patients, as well as the significance of occurrence of leukoderma during immunotherapy, with special attention to check-point inhibitors.

1. Introduction

Melanoma is the most threatening form of skin tumor and its incidence is constantly increasing in the Western population. In Europe, more than 100,000 melanoma cases are registered each year [1]. General characteristics of cancer cells are genome instability and mutation load that should in principle render them good targets for the host immune system [2]. Among the tumor types, melanoma is considered a highly immunogenic tumor due to its elevated mutation load [3]. Accordingly, the presence of melanoma-specific cytotoxic T lymphocytes (CTLs) in the blood and in the skin that surround the tumor indicate that melanoma cells do not evade immune recognition. Moreover, the frequency of CTLs recognizing melanoma antigens appears to be higher in patients with metastatic disease than in those with primary tumors [4], suggesting that an increment in the antigen load is associated with tumor progression and can be recognized by the host immune system. Nevertheless, even when CTL responses occur, patients’ immune system is rarely in the condition of mounting an effective reaction, leading to tumor clearance [5]. It is now evident that tumor development, also in the case of melanoma, is accompanied by an impairment of the host immune system. In fact, immunodeficiency is associated with a higher incidence of melanocytic nevi and of melanoma [6], supporting the hypothesis of the existence of an active immunosurveillance against melanocytic proliferation in healthy individuals [7].
Tumor cells use different molecular strategies to elude host immune responses [8]. Cytokines secreted by tumor cells alter dendritic cell maturation and render them unable to elicit antigen-specific CTLs. Moreover, immature dendritic cells mediate tumor tolerance by inducing anergy of CTLs and expansion of T regulatory lymphocytes. Programmed death ligand 1 (PD-L1) is a major negative regulatory ligand that engages its programmed death 1 (PD-1) receptor expressed on activated T cells. PD-L1 can be expressed on immature tumor-associated dendritic cells, negatively affecting their functions. PD-L1 can be also expressed by tumor endothelial cells, producing an immunosuppressive environment, and by tumor cells themselves, blocking CTL activity and tumor rejection [9]. Cytokines and chemokines produced by tumor cells can inhibit T lymphocyte crossing of the tumor vasculature by reducing endothelial cell expression of adhesion molecules, while functioning as chemoattractants for immunosuppressive leukocytes such as T regulatory cells, Tie2+ monocytes, or myeloid-derived suppressor cells. In addition, hypoxic condition and acidosis that characterize the tumor microenvironment contribute in negatively affecting CTL functions [10].
Skin depigmentation, such as that occurring in vitiligo or Sutton’s nevus, has been associated with cutaneous melanoma since the 1970s [11]. Most of the antigens recognized by CTLs isolated from melanoma patients are expressed by both melanoma cells and normal melanocytes, explaining why autoimmune responses against melanocytes that lead to vitiligo or Sutton’s nevus could also be present in melanoma patients, resulting in melanoma-associated leukoderma or halo phenomena. Antigens recognized by CTLs include proteins of the melanogenic pathway, such as gp100, MART-1, tyrosinase, and tyrosinase-related proteins 1 and 2 [12,13,14]. Autoimmune responses against such antigens occasionally get into a specific immune reaction against melanoma and into tumor regression. Molecular identification of melanoma antigens recognized by CTLs represented the first step towards vaccination approaches against melanoma [15,16]. Notably, melanoma-associated leukoderma appeared as an adverse effect of these anti-melanoma therapies [17,18]. Together with therapeutic vaccination, additional trials were represented by the systemic treatment with interferons (IFN) or chemokines to stimulate the endogenous immune system to fight against the tumor. Interestingly, interleukin (IL)-2-based immunotherapy showed that a high percentage of responding patients developed skin depigmentation together with melanoma regression [19]. More recently, Curti et al. reported data about immune-related adverse events (irAEs) for high dose IL-2 therapy from the PROCLAIM registry [20]. They found that irAE following IL-2 therapy was associated with tumor control and overall survival in melanoma patients. Leukoderma was the primary IL-2-related irAE together with thyroid dysfunctions (70% of irAEs).
Nowadays, immunotherapy with check-point inhibitors has positively augmented the therapeutic opportunities for metastatic melanoma [21], prolonging patient overall survival [22]. However, responses to these therapies are still suboptimal; around 20% for cytotoxic T-lymphocyte antigen-4 (CTLA-4) and 30–40% for PD-1 or PD-L1-targeting monoclonal antibodies, reaching 60% when the two therapies are combined [23,24]. Autoimmune skin reactions are common irAEs of treatment with check-point inhibitors, and development of leukoderma has been associated with a good outcome due to response to therapy [25,26].
By targeting the immune system, immunotherapies induce an indirect effect on tumors that can take time and lead to a delay in the onset of clinical benefits. Therefore, patients usually receive immunotherapy drugs for long periods and beyond conventional progression, unless life-threatening toxicity occurs. Considering this difficulty, a great effort is presently being done to identify markers of response to immunotherapies, both to select patients that would beneficially respond to treatment and to early evaluate patient responsiveness, thus sparing toxicity and resources.
In this review, several aspects of the melanoma/vitiligo relationship are investigated, underlining characteristics of the immune system responses shared by melanoma and vitiligo patients and the value of melanoma-associated leukoderma as a favorable prognostic factor in check-point inhibitor immunotherapy.

2. Vitiligo and Spontaneous Melanoma-Associated Leukoderma

Vitiligo is a skin disorder affecting 2% of the world’s population. Progressive destruction of skin melanocytes results into the appearance of patchy depigmentation [13]. Vitiligo pathogenesis is likely autoimmune. Circulating skin-homing melanocyte-specific CD8+ T-lymphocytes and infiltrates of CTLs at the margin of active lesions have been observed in most patients [27]. Both lymphocyte T helper (Th)1 and Th17 responses have been reported [28].
A remarkable aspect of vitiligo is its relationship with cutaneous melanoma. Melanoma-associated leukoderma spontaneously occurs in a fraction of melanoma patients and correlates with a favorable prognosis [26]. A retrospective study indicated that melanoma patients with concomitant leukoderma had a higher survival rate [29]. In some cases, leukoderma appearance revealed a regressing melanoma [30], supporting the necessity of a close examination of patients with skin depigmentation for the presence of primary tumors. Two reports of melanoma arising within a new depigmented patch have been recently published [31].
Some evidence indicates that melanoma-associated leukoderma has clinical features distinct from vitiligo, including advanced age of onset, absence of family history of vitiligo or atopy, equal distribution among men and women, localization of depigmentation to photo exposed areas, and multiple flecked depigmented macules [32,33]. Nevertheless, histological and immunohistological differences have not been found [34,35].
Association between vitiligo and melanoma is thought to be the consequence of an immune response against antigens shared by melanoma and normal melanocytes. Indeed, humoral responses to similar antigens have been proven. In 1995, Cui and Bystryn showed the presence of autoantibodies to melanocytes in 80% of melanoma and in 83% of vitiligo patients. These antibodies were directed to analogous antigens with comparable frequency in both diseases [36]. Moreover, Fishman et al. showed that autoantibodies isolated from vitiligo patients had a destructive effect on melanoma cells both in vitro and in vivo [37]. Other authors reported the presence of autoantibodies against melanocyte differentiation antigens, such as tyrosinase, in the sera of both vitiligo and melanoma patients [38]. As autoantibodies rarely succeed in tumor clearance, the authors proposed that differences in the number of antibodies recognizing these epitopes could characterize vitiligo versus melanoma immune responses, with higher titers in vitiligo patient sera [38].
T cell antigen receptor (TCR) sequencing provides information about T cell antigen specificity because T cell clones having an identical TCR sequence recognize the same antigen. A previous study has shown in vivo accumulation of an identical T cell clone in a primary melanoma and vitiligo-like halo around the tumor [39], supporting the idea that tumor T cells recognizing antigens common to both melanoma and melanocytes may contribute to tumor destruction. Because these CTLs almost never achieve melanoma eradication, similarly to what proposed for autoantibodies, Palermo and colleagues indicated that qualitative differences in CTL reactivity against melanocytes could differentiate vitiligo and cutaneous melanoma, with vitiligo CTLs having a higher affinity to melanocytes [40].
As shown in Figure 1, CTL infiltrate and other immune cell subtypes are similarly represented in melanoma and vitiligo. No data have been reported so far about a direct quantitative comparison of the different immune cell subsets present around the melanoma or the vitiligo lesion. However, vitiligo is characterized by an increased CD8+/CD4+ T lymphocyte ratio. Differently from melanoma, regulatory T cells are decreased in vitiligo or impaired in their functions [41], and presence of myeloid-derived suppressor cells has not been reported. These immunological features underline the existence of an immunosuppressive microenvironment around the melanoma lesion that is not present at the margin of vitiligo and that must be overcome in the onset of melanoma-associated leukoderma.
The MT/ret transgenic mouse model of cutaneous melanoma was used to analyze spontaneous anti-tumor T cell responses [42]. Interestingly, a great number of these mice developed melanoma-associated leukoderma and a correlation was observed between depigmentation development and control of melanoma progression. Mice developing melanoma-associated leukoderma had a higher number of IFN-γ-secreting T cells than mice without skin depigmentation, supporting a crucial role of IFN-γ in the achievement of an effective response against melanoma. More recently, Blenman et al. used the syngeneic mouse model of YUMMER1.7 cell line implanted into C57BL/6J mice [43] and evaluated spontaneous melanoma regression. They found that B cells and neutrophils have a key role in this process [44] and did not report any case of depigmentation.
Using the Wsh mouse model of melanocyte deficiency, Byrne et al. investigated the role of melanoma-associated leukoderma and consequent melanocyte destruction in the maintenance of CTL responses to melanoma. They found that the absence of melanocytes impaired the development of T cell memory towards melanoma, demonstrating that melanocyte antigens liberated by leukoderma drive the long-term functional memory T cell response against melanoma [45].

3. Sutton’s Nevus and Halo Phenomenon in Melanoma Patients

Sutton’s nevus (halo nevus) is a nevus surrounded by a symmetric rim of depigmentation, resulting into spontaneous regression of the nevus. Clinical involution of a Sutton’s nevus starts with appearance of a depigmented halo. Thereafter, the central nevus becomes paler and erythematous. In some cases, depigmentation proceeds up to complete nevus regression, leaving only a residual depigmented area. Later, spontaneous re-pigmentation can also occur [46]. Sutton’s nevi are more frequent in childhood and adolescence and could indicate the presence of an active immune system that, eliminating normal and neoplastic melanocytes, prevents tumor development. Vitiligo patients have an increased frequency of halo nevi and multiple halo nevi might predispose to vitiligo onset [47], probably because vitiligo and Sutton’s nevi share a similar autoimmune pathogenetic mechanism [48].
The presence of one or multiple halo phenomena has been occasionally documented in melanoma patients and can occur around melanoma or nevi [49]. However, enough data are not available to estimate the significance of this occurrence. In some cases, halo phenomenon appeared after surgical removal of the primary melanoma lesion [50] or has been reported around cutaneous metastases and scars in melanoma patients with melanoma-associated leukoderma [51].
In Sutton’s nevus, nevi cells are arranged in nests, whereas in melanoma atypical melanocytes are isolated in the epidermis and aggregated in the dermis. In addition, Sutton’s nevus is characterized by cells with rare mitosis and with a consistent lymphocyte infiltration within the nevus, whereas regressing melanoma shows numerous mitotic immature cells and inflammatory infiltrate concentrated at the periphery. In contrast to spontaneous regression of melanoma, halo phenomenon is not associated with fibrosis. This difference could be due to the cytokine microenvironment of the tumor compared to the nevus [52,53,54].

4. Melanoma-Associated Leukoderma as an Adverse Effect of Immunotherapy

4.1. Therapeutic Vaccination

A high immune infiltrate within the tumor and at the tumor invasive margin, especially when being composed of Th1 cells expressing IFN-γ, as well as CTLs producing granzymes and granulysin, is a common characteristic of tumors having a favorable prognosis. This is true also for melanoma [55]. However, therapeutic attempts to induce melanoma antigen-specific T cells have led to minimal anticancer immune responses. Furthermore, induction of tumor-reactive CTLs was not always sufficient in achieving clinical regression of melanoma [56,57]. Therapeutic vaccination must face different problems; first, the identification of the appropriate antigen to include in the vaccine. Regression of metastatic melanoma with the concomitant occurrence of melanoma-associated leukoderma has been observed so far only in response to immunization with a Melan-A/MART-1 peptide [17]. Vaccination with melanoma-pulsed dendritic cells [58] or in vitro stimulation of patient’s immune cells followed by their re-infusion [19] enhance naturally occurring melanoma antigen-specific immunity and improve clinical results [59]. Interestingly, a patient with metastatic melanoma treated with Melan-A-specific CD8+ lymphocytes developed partial depigmentation associated with skin localization of the infused T cell clones [18]. More recently, clinical trials have been conducted using autologous dendritic cells loaded with autologous tumor antigens that have led to encouraging survival data [60]. No cases of melanoma-associated leukoderma were reported in these trials, supporting the concept that the mechanism of action of these dendritic cell vaccines was the induction of new immune responses to autologous tumor antigens rather than enhancement of existing weak immune responses.
In animal models, immunization against melanoma [61] as well as treatment with a monoclonal antibody against tyrosinase-related protein-1 (TRP-1/gp75) [62] can cause melanoma-associated leukoderma. Development of autoimmune leukoderma was observed in mice treated with anti-CD4 to deplete regulatory T cells (Treg) followed by surgery to excise large B16 melanomas [63]. This study underlined the importance of Treg in the prevention of skin autoimmunity in melanoma-bearing hosts.

4.2. Check-Point Inhibitors

Leukoderma is an adverse effect of melanoma immunotherapy with check-point inhibitors (Figure 2), with a reported incidence ranging from 3.4% to 28% and a mean onset delay of 30 weeks after therapy initiation [64,65,66,67]. However, even if skin depigmentation is classified as a grade 2 irAE, its appearance does not require therapy discontinuation and could not always be reported.
Notably, depigmentation is significantly associated with a favorable prognosis [25,66,68]. Immunotherapy-induced halo phenomena have been also reported, even if less frequently than leukoderma [69,70]. Appearance of halo nevi in addition to leukoderma might correspond to a stronger anti-melanocyte immune reaction associated with a good prognosis, but the number of reported cases is still too low to permit any conclusive remark. A rare case of regression of benign melanocytic nevi without halo phenomenon was also reported after melanoma therapy with check-point inhibitors [71].
Besides leukoderma, hair depigmentation was also observed [72,73,74]. In the past, patients who underwent immunotherapy for metastatic cutaneous melanoma with adoptive cell transfer of tumor reactive CTLs developed uveitis with diffuse retinal pigment epithelium hypopigmentation resembling Vogt–Koyanagi–Harada syndrome [75]. Thus far, similar side-effects have rarely been reported for immunotherapy of cutaneous melanoma with check-point inhibitors [76].
Development of immunotherapy-related leukoderma does not always associate with the presence of memory T cells that can guarantee a long-term tumor clearance. In one melanoma patient, a complete response to immunotherapy was achieved with the contemporaneous development of leukoderma. After 8 months from therapy conclusion, repigmentation occurred with the appearance of brain and liver metastases [77]. However, in an animal model of melanoma-associated leukoderma [45,63], generation of skin-resident memory T cell responses to melanoma naturally occurred as a result of leukoderma development that played a key role in perpetuating anti-tumor immunity [78].
Leukoderma occurring in melanoma patients treated with check-point inhibitors has some clinical and biological differences with respect to vitiligo. Similarly to what has been previously reported for spontaneously occurring melanoma-associated leukoderma, no family history of vitiligo, thyroiditis, or other autoimmune disorders is reported and the Koebner phenomenon, that is, development of lesions at sites of specifically traumatized skin, seems to be absent [79]. Moreover, higher serum levels of the chemokine CXCL10 are present in melanoma patients developing leukoderma after immunotherapy compared with vitiligo patients or healthy controls [79]. However, as high amounts of CXCL10 characterize vitiligo in an active phase [80], there is the possibility that the reported differences among immunotherapy-induced leukoderma and vitiligo could be less significant when only vitiligo patients in an active phase of the disease are included.
Considering the previously reported data, pre-existence in a patient of an autoimmune disease could be a possible obstacle in the prescription of check-point inhibitor immunotherapy. However, new data suggest that benefits from immunotherapy treatments may outweigh the exacerbation of pre-existing autoimmune disease, especially when the pathology taken into account is not a life-threatening disease such as leukoderma [81].

5. Vitiligo and Biomarkers of Response to Immunotherapy with Checkpoint Inhibitors

With only a small subset of melanoma patients responding to immunotherapy with check-point inhibitors, predictive and prognostic biomarkers are urgently needed. Multiple immune features have been evaluated in this search for biomarkers [82,83,84]. Many studies showed an association between a high number of circulating neutrophils and/or neutrophil-to-lymphocyte ratio (NLR) and responsiveness to immunotherapy [85]. Thus, neutrophils may be the expression of an immunosuppressive environment induced by the melanoma itself and their presence could distinguish between responsive and not-responsive individuals. NLR has also been investigated in vitiligo patients. NLR values were found to be significantly higher in patients who had generalized vitiligo than in those with localized vitiligo and healthy controls [86] (Table 1).
Other biomarkers, proposed to be predictive for response to immunotherapy with check-point inhibitors [84], such as PD-1/PD-L1 or CTLA-4 expression, presence of an IFN-γ signature, or augmented inflammatory cytokines, are also hallmarks of active vitiligo (Table 1).
Expression of PD-L1 on tumor cells may play an important role in blocking T cell immune responses. In a study on melanoma patients receiving anti-PD-1 antibodies, intratumoral positivity to PD-L1 significantly correlates with response to immunotherapy [89]. Other evidence indicates that response is associated more with PD-L1 expression in tumor-infiltrating immune cells than on tumor cells themselves [88]. A study of patients with metastatic melanoma showed that exosomes released from melanoma cells carry PD-L1 on their surface, and that the increase in levels of circulating exosomal PD-L1 correlates with tumor response to anti-PD-1 therapy [87]. In vitiligo, PD-1 expression in CD8+ T cells is positively associated with disease activity [90].
An immune-active microenvironment favors the response to check-point inhibitors. High pre-treatment expression of IFN-γ [105] or IFN-γ-inducible factors, such as CXCL9, CXCL10, or CXCL-11, was associated with response in melanoma patients [91]. Interestingly, in vitiligo an IFN-γ signature is present and high serum levels of CXCL-9 [106] or, more prominently, of CXCL-10 are present in patients with progressive disease [92].
IFN-γ uses the Janus kinase (JAK)/signal transducers and activators of transcription (STAT) pathway to activate inflammatory chemokines and cytokines, and expression of both JAK1 and STAT3 is up-regulated in vitiligo [94]. Thus, JAK inhibitors are being evaluating as possible therapeutic options for vitiligo as they down-regulate IFN-γ signaling [107]. Importantly, JAK1 or JAK2 mutations are also associated with acquired resistance to check-point inhibitor immunotherapy in melanoma patients [93].
High pretreatment expression of CTLA-4 in the tumor tissue [88] or in tumor-infiltrating lymphocytes [95] positively correlates with response to treatment with anti-PD-L1 antibodies. Variants in the gene coding for CTLA-4 associate with response to immunotherapy with check-point inhibitor in melanoma patients [96]. The inflammatory response in vitiligo is also thought to be mediated by polymorphism in the CTLA gene [97].
The mismatch repair (MMR) system is deputed to the repair of base mismatches occurring during DNA replication [108]. Loss of MMR function leads to microsatellite instability, accumulation of mutations, and production of neoantigens [109]. Moreover, MMR deficiency predicts response to immunotherapy with check-point inhibitors in different tumor types [98,110]. However, no data have been reported so far for melanoma. MMR deficiency has also been linked to vitiligo development. A clinical report indicated that bi-allelic mutations in MMR genes associated with early onset of colorectal cancer also led to vitiligo development [100]. Similarly, a gene associated with vitiligo and identified by differential display between normal and vitiligo patient-derived melanocytes, the “VIT1” gene, is involved in the regulation of MMR functions [99].
An emerging class of biomarkers are microRNAs (miRNAs), which are released from tumor cells into blood circulation. Several tumor-derived miRNAs were found to induce myeloid suppressor cells and predict melanoma patient resistance to immunotherapy with check-point inhibitors and poor survival (miR-146a, miR-155, miR-125b, miR-100, let-7e, miR-125a, miR-146b, miR-99b) [101]. Interestingly, of the miRNAs reported by Huber et al. on melanoma, miR-155 and miR-125b are up-regulated in vitiligo patients with respect to healthy individuals [102]. In addition, let-7e was found to be up-regulated in lesional compared with non-lesional epidermis [104], and miR-146a was up-regulated in the serum of vitiligo mice and vitiligo patients with respect to normal controls [111]. This last miR-146a is over-expressed also in other skin diseases such as in atopic dermatitis, and regulates differentiation of immune cells [112], whereas miR-155 and miR-125b have a role in melanogenesis [102]. Therefore, it is difficult to correlate a patient-positive response to melanoma immunotherapy and the development of immunotherapy-associated leukoderma in the same patient when considering as response indicators only a similar over-expression of specific miRNAs.

6. Uveal Melanoma

Uveal melanoma arises from the iris, ciliary body, or choroid of the eye, and represents 3–5% of all melanomas [113,114]. It is the most common primary intraocular malignant tumor in adults, but it is a rare tumor with an incidence of about two to five cases per million. Unfortunately, up to 50% of patients develop metastatic disease, typically in the liver. Uveal melanoma is genetically distinct from cutaneous melanoma, having activating mutations in the GNAQ or GNA11 genes in 80–90% of cases. On the other hand, mutations in BRAF, NRAS, and TERT promoter that are common in cutaneous melanoma are quite absent in uveal tumors. Likewise, monosomy 3 is observed in around 50% of uveal melanomas, whereas it is rarely reported in cutaneous melanoma (Table 2).
Although check-point inhibitors have demonstrated substantial activity in cutaneous melanoma, their effectiveness in uveal melanoma is limited [115,116]. Considering phase II studies with a consistent number of enrolled patients, a multicenter study on 53 uveal melanoma patients receiving the anti-CTLA-4 antibody reported that no patient experienced partial or complete response [117]. A different multicenter study involved 58 patients affected by uveal melanoma and treated with anti-PD-1 or PD-L1 antibodies. In this trial, no complete response was observed, and the overall response rate was of 3.6% [118]. Interestingly, one case of melanoma-associated leukoderma was reported. A similar trial with both anti-PD-1 and anti-CTLA-4 antibodies recorded a response rate of 4.7% [119], and a recent trial on 20 patients reported a partial response for only two patients [116]. Other studies have been performed using check-point inhibitors in monotherapy or combined therapies, but the percentage of response and overall survival was low [115]. At present, only one case of exceptional response to check-point inhibitor therapy was reported [120]. Importantly, this response was accompanied by the development of severe irAEs among which depigmentation resembling Vogt–Koyanagi–Harada syndrome was present [120]. Possibly, more chances of success would come from the use of immunotherapy in an adjuvant setting [121]. Even if skin represented the organ system mainly affected by treatment-dependent irAE, no case of melanoma-associated leukoderma was reported in these studies [121], further sustaining the difference between uveal and cutaneous melanoma in inducing inflammatory and/or immunological responses.

7. Melanoma-Associated Leukoderma Beyond Melanoma

Immunotherapy with check-point inhibitors has greatly ameliorated the clinical management of other cancer types besides melanoma and significantly prolonged the overall survival of patients affected by advanced non-small cell lung cancer (NSCLC); head and neck squamous cell carcinoma; Hodgkin’s lymphoma; and urothelial, liver, renal cell, gastric, and colorectal cancer [122]. Different from what was previously reported [123], recent studies indicate that leukoderma development can also occur in patients treated with check-point inhibitors for non-melanoma cancers. The mean onset delay is 31 weeks, similar to what observed in melanoma patients (Figure 3). In 2017, Zarogoulidis et al. reported a case of leukoderma during anti-PD-1 therapy of lung adenocarcinoma [124], and a second case was reported one year later [125] (Figure 3). Leukoderma lesions were also reported in two patients affected by renal cell carcinoma and in patients with cholangiocarcinoma or squamous cell carcinoma [126,127].

8. Additional Autoimmune Skin Diseases in Melanoma Patients Treated with Check-Point Inhibitors

Skin reactions are the most common side-effect of melanoma immunotherapy with check-point inhibitors [74,128]. Patients mainly have rash and pruritus (28–37%), whereas cutaneous autoimmune effects different from melanoma-associated leukoderma are rarer (Figure 3) [123]. Generally, these side-effects are treated with corticosteroids and slowly resolve after immunotherapy cessation.
A case of psoriasis vulgaris has been documented in a male patient after 53 weeks of treatment with anti-PD-1 antibody. He had no history of psoriasis or atopic dermatitis [74]. Similarly, a psoriasiform eruption was reported during immunotherapy with anti-PD-1 antibody in a man affected by oral mucosal melanoma, who also had no family or personal history of psoriasis [129]. A third case of psoriasiform eruption was observed in a melanoma patient during the therapy with anti-PD-1 antibody [130]. In addition, four cases of psoriasis exacerbation during immunotherapy were reported [131,132,133]. The characteristics of immunotherapy-induced psoriasis have been analyzed in a multi-center study of tumors treated with anti-PD-1 antibodies [134]. Of the 21 patients examined, 11 were treated for metastatic melanoma. The main clinical type was plaque psoriasis (95%), but six cases of guttate, four of palmoplantar, and one of pustular palmoplantar psoriasis were also observed. A history of psoriasis was the main risk factor to develop psoriasis and if patients had previous psoriasis the timeline to develop immunotherapy-related psoriasis was shorter [134]. The mean onset delay in patients with no previous history of psoriasis is 11 weeks. Interestingly, psoriasis development was also reported in patients affected by other tumor types. Bonigen et al. described 10 cases of psoriasis developed in patients treated with anti-check-point antibodies for lung cancer [134] and three cases of psoriasis were reported in patients diagnosed with NSCLC [135]. The mean onset delay is similar (12.5 weeks) to what observed in melanoma patients (Figure 3).
During melanoma treatment with anti-PD-1 antibodies, a case of lichen planus pemphigoides [136], a case of dermatitis herpetiformis [137], and four cases of bullous pemphigoid [137,138,139] were encountered (Figure 3).
Besides melanoma, one case of lichen planus pemphigoides [140] and one of bullous pemphigoid [141] have been reported for patients treated with check-point inhibitor immunotherapy for NSCLC.

9. Conclusions

Immunotherapy with check-point inhibitors has prompted innovation in the treatment of metastatic melanoma as well as of other tumor types. Unfortunately, a large fraction of patients do not respond to immunotherapy or respond only partially. Resolving the natural and acquired resistance to immunotherapy represents the future challenge in cancer research. In the case of melanoma, the objective is the understanding of the immune biology and of the multiple mechanisms of immunosuppression present in patients. Clarification of these molecular mechanisms could lead to identification of novel biomarkers to be used in patient selection and/or follow-up, or to individuate additional therapeutic targets. In fact, a better understanding of immune responses activated by check-point inhibitors could permit the safe combining of immunotherapy with check-point inhibitors with other immunotherapies such as IL-2 treatments, or with different available therapeutic compounds targeting other molecules of the immunosuppression route.
Epidemiological studies on the correlation between melanoma-associated leukoderma and stable disease or overall patient survival have been mainly done within clinical studies with check-point inhibitors. The results clearly indicate that depigmentation is significantly associated with a favorable prognosis. However, pathogenesis of melanoma-associated leukoderma is incompletely understood, and additional studies are required to clarify this aspect. A better comprehension of the pathological mechanisms that lead to leukoderma development in only a subset of melanoma patients would be extremely important to overcome occurrence of resistance to immunotherapy.
In this prospective, vitiligo could represent a parallel disease model system in which the study of patient immune responses against normal melanocytes is in a more advanced phase.
From the data reported above, it is evident that leukoderma development is mainly related to cutaneous melanoma as an irAE of immunotherapy with check-point inhibitors, since the number of cases reported for other cutaneous autoimmune diseases is similar when comparing, as an example, melanoma with lung cancer. Moreover, development of melanoma-associated leukoderma characterizes cutaneous melanoma and it is extremely rare in uveal melanoma.
Furthermore, drawing attention to similarity and differences in the immune responses in cutaneous melanoma compared to uveal melanoma, melanoma-associated leukoderma and vitiligo could lead to acquisition of important knowledge to be applied to melanoma immunotherapeutic approaches.
Finally, it is important to note that appearance of melanoma-associated leukoderma represents not only a sign of effective immune response to immunotherapy with check-point inhibitors but could be also beneficial for the maintenance of such a response through time with generation of anti-melanoma memory T cells. This aspect has been studied in animal models and necessitates additional investigation to verify its significance for melanoma patients.

Author Contributions

Data curation, M.L.C. and G.P.; writing original draft preparation, C.M.F. and M.L.C.; writing review and editing, C.M.F., C.F., G.P. and S.D.; funding acquisition, C.M.F., M.L.C., C.F., and S.D.

Funding

This work was supported by Fondazione Umberto Veronesi “Post-Doctoral Fellowship 2018” (Maria Luigia Carbone recipient). This study was also supported in part by funding from AIRC under IG 2015 - ID. 17,585 project – P.I. Stefania D’Atri, and by the Italian Ministry of Health, Ricerca Corrente.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

CTLcytotoxic T lymphocyte
CTLA-4cytotoxic T lymphocyte antigen-4
PD-1programmed death 1 receptor
PD-L1 programmed death ligand 1
irAEimmune related adverse effect
NSCLCnon-small cell lung cancer

References

  1. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [PubMed]
  2. Hanahan, D.; Weinberg, R.A. Hallmarks of cancer: The next generation. Cell 2011, 144, 646–674. [Google Scholar] [CrossRef] [PubMed]
  3. Persi, E.; Wolf, Y.I.; Leiserson, M.D.M.; Koonin, E.V.; Ruppin, E. Criticality in tumor evolution and clinical outcome. Proc. Natl. Acad. Sci. USA 2018, 115, E11101–E11110. [Google Scholar] [CrossRef] [PubMed]
  4. Mortarini, R.; Piris, A.; Maurichi, A.; Molla, A.; Bersani, I.; Bono, A.; Bartoli, C.; Santinami, M.; Lombardo, C.; Ravagnani, F.; et al. Lack of terminally differentiated tumor-specific CD8+ T cells at tumor site in spite of antitumor immunity to self-antigens in human metastatic melanoma. Cancer Res. 2003, 63, 2535–2545. [Google Scholar]
  5. Lee, P.P.; Yee, C.; Savage, P.A.; Fong, L.; Brockstedt, D.; Weber, J.S.; Johnson, D.; Swetter, S.; Thompson, J.; Greenberg, P.D.; et al. Characterization of circulating T cells specific for tumor-associated antigens in melanoma patients. Nat. Med. 1999, 5, 677–685. [Google Scholar] [CrossRef]
  6. Baron, J.; Krol, A. Management of nevi in transplant patients. Dermatol. Ther. 2005, 18, 34–43. [Google Scholar] [CrossRef]
  7. Zattra, E.; Fortina, A.B.; Bordignon, M.; Piaserico, S.; Alaibac, M. Immunosuppression and melanocyte proliferation. Melanoma Res. 2009, 19, 63–68. [Google Scholar] [CrossRef]
  8. Motz, G.T.; Coukos, G. Deciphering and reversing tumor immune suppression. Immunity 2013, 39, 61–73. [Google Scholar] [CrossRef]
  9. Jiang, Y.; Zhan, H. Communication between EMT and PD-L1 signaling: New insights into tumor immune evasion. Cancer Lett. 2020, 468, 72–81. [Google Scholar] [CrossRef]
  10. Damgaci, S.; Ibrahim-Hashim, A.; Enriquez-Navas, P.M.; Pilon-Thomas, S.; Guvenis, A.; Gillies, R.J. Hypoxia and acidosis: Immune suppressors and therapeutic targets. Immunology 2018, 154, 354–362. [Google Scholar] [CrossRef]
  11. Balabanov, K.; Andreev, V.C.; Tchernozemski, I. Malignant melanoma and vitiligo. Dermatologica 1969, 139, 211–219. [Google Scholar] [CrossRef] [PubMed]
  12. Palermo, B.; Campanelli, R.; Garbelli, S.; Mantovani, S.; Lantelme, E.; Brazzelli, V.; Ardigò, M.; Borroni, G.; Martinetti, M.; Badulli, C.; et al. Specific cytotoxic T lymphocyte responses against Melan-A/MART1, tyrosinase and gp100 in vitiligo by the use of major histocompatibility complex/peptide tetramers: The role of cellular immunity in the etiopathogenesis of vitiligo. J. Invest. Dermatol 2001, 117, 326–332. [Google Scholar] [CrossRef] [PubMed]
  13. Rodrigues, M.; Ezzedine, K.; Hamzavi, I.; Pandya, A.G.; Harris, J.E. Vitiligo Working Group, New discoveries in the pathogenesis and classification of vitiligo. J. Am. Acad. Dermatol. 2017, 77, 1–13. [Google Scholar] [CrossRef] [PubMed]
  14. Teulings, H.-E.; Willemsen, K.J.; Glykofridis, I.; Krebbers, G.; Komen, L.; Kroon, M.W.; Kemp, E.H.; Wolkerstorfer, A.; Wietze van der Veen, J.P.; Luiten, R.M.; et al. The antibody response against MART-1 differs in patients with melanoma-associated leucoderma and vitiligo. Pigment. Cell Melanoma Res. 2014, 27, 1086–1096. [Google Scholar] [CrossRef] [PubMed]
  15. Parmiani, G. Melanoma antigens and their recognition by T. cells. Keio J. Med. 2001, 50, 86–90. [Google Scholar] [CrossRef] [PubMed]
  16. Rosenberg, S.A. Cancer vaccines based on the identification of genes encoding cancer regression antigens. Immunol. Today 1997, 18, 175–182. [Google Scholar] [CrossRef]
  17. Jager, E.; Maeurer, M.; Hohn, H.; Karbach, J.; Jager, D.; Zidianakis, Z.; Bakhshandeh-Bath, A.; Orth, J.; Neukirch, C.; Necker, A.; et al. Clonal expansion of Melan A-specific cytotoxic T lymphocytes in a melanoma patient responding to continued immunization with melanoma-associated peptides. Int. J. Cancer 2000, 86, 538–547. [Google Scholar] [CrossRef]
  18. Yee, C.; Thompson, J.A.; Roche, P.; Byrd, D.R.; Lee, P.P.; Piepkorn, M.; Kenyon, K.; Davis, M.M.; Riddell, S.R.; Greenberg, P.D. Melanocyte destruction after antigen-specific immunotherapy of melanoma: Direct evidence of T cell–mediated vitiligo. J. Exp. Med. 2000, 192, 1637–1644. [Google Scholar] [CrossRef]
  19. Rosenberg, S.A.; Yannelli, J.R.; Yang, J.C.; Topalian, S.L.; Schwartzentruber, D.J.; Weber, J.S.; Parkinson, D.R.; Seipp, C.A.; Einhorn, J.H.; White, D.E. Treatment of Patients With Metastatic Melanoma With Autologous Tumor-Infiltrating Lymphocytes and Interleukin 2. J. Natl. Cancer Inst. 1994, 86, 1159–1166. [Google Scholar] [CrossRef]
  20. Curti, B.; Daniels, G.A.; McDermott, D.F.; Clark, J.I.; Kaufman, H.L.; Logan, T.F.; Singh, J.; Kaur, M.; Luna, T.L.; Gregory, N.; et al. Improved survival and tumor control with interleukin-2 is associated with the development of immune-related adverse events: Data from the PROCLAIMSM registry. J. Immunother. Cancer 2017, 5, 102. [Google Scholar] [CrossRef]
  21. Mellman, I.; Coukos, G.; Dranoff, G. Cancer immunotherapy comes of age. Nature 2011, 480, 480–489. [Google Scholar] [CrossRef] [PubMed]
  22. Herzberg, B.; Fisher, D.E. Metastatic melanoma and immunotherapy. Clin. Immunol. 2016, 172, 105–110. [Google Scholar] [CrossRef] [PubMed]
  23. Larkin, J.; Chiarion-Sileni, V.; Gonzales, R.; Grob, J.J.; Rutkowski, P.; Lao, C.D.; Cowey, C.L.; Schadendorf, D.; Dummer, W.R.; Ferrucci, P.F.; et al. Five-year survival with combined nivolumab and ipilimumab in advance melanoma. N. Engl. J. Med. 2019, 381, 1535–1546. [Google Scholar] [CrossRef] [PubMed]
  24. Larkin, J.; Chiarion-Sileni, V.; Gonzalez, R.; Grob, J.J.; Cowey, C.L.; Lao, C.D.; Schadendorf, D.; Dummer, R.; Smylie, M.; Rutkowski, P.; et al. Combined nivolumab and ipilimumab or monotherapy in untreated melanoma. N. Engl. J. Med. 2015, 373, 23–24. [Google Scholar] [CrossRef] [PubMed]
  25. Hua, C.; Boussemart, L.; Mateus, C.; Routier, E.; Boutros, C.; Cazenave, H.; Viollet, R.; Thomas, M.; Roy, S.; Benannoune, N.; et al. Association of vitiligo with tumor response in patients with metastatic melanoma treated with pembrolizumab. JAMA Dermatol. 2016, 152, 45–51. [Google Scholar] [CrossRef]
  26. Motofei, I.G. Melanoma and autoimmunity: Spontaneous regressions as a possible model for new therapeutic approaches. Melanoma Res. 2019, 29, 231–236. [Google Scholar] [CrossRef]
  27. Boehncke, W.H.; Brembilla, N.C. Autoreactive T-Lymphocytes in Inflammatory Skin Diseases. Front. Immunol. 2019, 10, 1198. [Google Scholar] [CrossRef]
  28. Singh, R.K.; Lee, K.M.; Vujkovic-Cvijin, I.; Ucmak, D.; Farahnik, B.; Abrouk, M.; Nakamura, M.; Zhu, T.H.; Bhutani, T.; Wei, M.; et al. The role of IL-17 in vitiligo: A review. Autoimmun. Rev. 2016, 15, 397–404. [Google Scholar] [CrossRef]
  29. Rodrìguez-Cuevas, S.; Lòpez-Chavira, A.; Zepeda del Rio, G.; Cuadra-Garcia, I.; Fernàndez-Diez, J. Prognostic significance of cutaneous depigmentation in Mexican patients with malignant melanoma. Arch. Med. Res. 1998, 29, 155–158. [Google Scholar]
  30. Arpaia, N.; Cassano, N.; Vena, G.A. Regressing cutaneous malignant melanoma and vitiligo-like depigmentation. Int. J. Dermatol. 2006, 45, 952–956. [Google Scholar] [CrossRef]
  31. Francisco, G.; Rao, B.K.; Victor, F.C. Two reports of malignant melanoma arising within vitiligo-like depigmented patch. JAAD Case Rep. 2018, 4, 573–575. [Google Scholar] [CrossRef] [PubMed]
  32. Naveh, H.; Rao, U.N.M.; Butterfield, L.H. Melanoma-associated leukoderma-immunology in black and white? Pigment. Cell Melanoma Res. 2013, 26, 796–804. [Google Scholar] [CrossRef] [PubMed]
  33. Saleem, M.D.; Oussedik, E.; Schoch, J.J.; Berger, A.C.; Picardo, M. Acquired disorders with depigmentation: A systematic approach to vitiliginoid conditions. J. Am. Acad. Dermatol. 2019, 80, 1215–1231. [Google Scholar] [CrossRef] [PubMed]
  34. Hartmann, A.; Bedek, C.; Keikavoussi, P.; Becker, J.C.; Hamm, H.; Brocker, E.B. Vitiligo and melanoma-associated hypopigmentation (MAH): Shared and discriminative features. J. Dtsch. Dermatol. Ges. 2008, 6, 1053–1059. [Google Scholar] [CrossRef] [PubMed]
  35. Lommerts, J.E.; Teulings, H.-E.; Ezzedine, K.; van Geel, N.; Hartmann, A.; Speeckaert, R.; Spuls, P.I.; Wolkerstorfer, A.; Luiten, R.M.; Bekkenk, M.W. Melanoma-associated leukoderma and vitiligo cannot be differentiated based on blinded assessment by experts in the field. J. Am. Acad. Dermatol. 2016, 75, 1198–1204. [Google Scholar] [CrossRef] [PubMed]
  36. Cui, J.; Bystryn, J.C. Melanoma and vitiligo are associated with antibody responses to similar antigens on pigment cells. Arch. Dermatol. 1995, 131, 314–318. [Google Scholar] [CrossRef]
  37. Fishman, P.; Azizi, E.; Shoenfeld, Y.; Sredni, B.; Yecheskel, G.; Ferrone, S.; Zigelman, R.; Chaitchik, S.; Floro, S.; Djaldetti, M. Vitiligo autoantibodies are effective against melanoma. Cancer 1993, 72, 2365–2369. [Google Scholar] [CrossRef]
  38. Merimsky, O.; Shoenfeld, Y.; Fishman, P. The clinical significance of antityrosinase antibodies in melanoma and related hypopigmentary lesions. Clin. Rev. Allergy Immunol. 1998, 16, 227–236. [Google Scholar] [CrossRef]
  39. Becker, J.C.; Guldberg, P.; Zeuthen, J.; Bröcker, E.B.; Straten, P.T. Accumulation of identical T cells in melanoma and vitiligo-like leukoderma. J. Invest. Dermatol. 1999, 113, 1033–1038. [Google Scholar] [CrossRef]
  40. Palermo, B.; Garbelli, S.; Mantovani, S.; Scoccia, E.; Da Prada, G.; Bernabei, P.; Avanzini, M.; Brazzelli, V.; Borroni, G.; Giachino, C. Qualitative difference between the cytotoxic T Lymphocyte responses to melanocyte antigens in melanoma and vitiligo. Eur. J. Immunol. 2005, 35, 3153–3162. [Google Scholar] [CrossRef]
  41. Lili, Y.; Yi, W.; Ji, Y.; Yue, S.; Weimin, S.; Ming, L. Global activation of CD8+ cytotoxic T lymphocytes correlates with an impairment in regulatory T cells in patients with generalized vitiligo. PLoS ONE 2012, 7, e37513. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Lengagne, R.; Le Gal, F.A.; Garcette, M.; Fiette, L.; Ave, P.; Kato, M.; Briand, J.P.; Massot, C.; Nakashima, I.; Rénia, L.; et al. Spontaneous vitiligo in an animal model for human melanoma: Role of tumor-specific CD8+ T cells. Cancer Res. 2004, 64, 1496–1501. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Wang, J.; Perry, C.J.; Meeth, K.; Thakral, D.; Damsky, W.; Micevic, G.; Kaech, S.; Blenman, K.; Bosenberg, M. UV-induced somatic mutations elicit a functional T cell response in the YUMMER1.7 mouse melanoma model. Pigment. Cell Melanoma Res. 2017, 30, 428–435. [Google Scholar] [CrossRef] [PubMed]
  44. Blenman, K.R.M.; Wang, J.D.; Cowper, S.; Bosenberg, M. Pathology of spontaneous and immunotherapy-induced tumor regression in a murine model of melanoma. Pigment. Cell Melanoma Res. 2019, 32, 448–457. [Google Scholar] [CrossRef]
  45. Byrne, K.T.; Cote, A.L.; Zhang, P.J.; Steinberg, S.M.; Guo, Y.; Allie, R.; Zhang, W.; Ernstoff, M.S.; Usherwood, E.J.; Turk, M.J. Autoimmune melanocyte destruction is required for robust CD8+ memory T cell responses to mouse melanoma. J. Clin. Invest. 2011, 121, 1797–1809. [Google Scholar] [CrossRef] [Green Version]
  46. Weyant, G.W.; Chung, C.G.; Helm, K.F. Halo nevus: Review of the literature and clinicopathologic findings. Int. J. Dermatol. 2015, 54, e433–e435. [Google Scholar] [CrossRef]
  47. Patrizi, A.; Bentivogli, M.; Raone, B.; Dondi, A.; Tabanelli, M.; Neri, I. Association of halo/nevus/i and vitiligo in childhood: A retrospective observational study. J. Eur. Acad. Dermatol. Venereol. 2013, 27, e148–e152. [Google Scholar] [CrossRef]
  48. Yang, Y.; Li, S.; Zhu, G.; Zhang, Q.; Wang, G.; Gao, T.; Li, C.; Wang, L.; Jian, Z. A similar local immune and oxidative stress phenotype in vitiligo and halo nevus. J. Dermatol. Sci. 2017, 87, 50–59. [Google Scholar] [CrossRef] [Green Version]
  49. Vyas, R.; Selph, J.; Gerstenblith, M.R. Cutaneous manifestations associated with melanoma. Semin. Oncol. 2016, 43, 384–389. [Google Scholar] [CrossRef]
  50. Epstein, W.L.; Sagebeil, R.; Spitler, L.; Wybran, J.; Reed, W.B.; Blois, M.S. Halo Nevi and Melanoma. JAMA 1973, 225, 373–377. [Google Scholar] [CrossRef]
  51. Quaglino, P.; Marenco, F.; Osella-Abate, S.; Cappello, N.; Ortoncelli, M.; Salomona, B.; Fierro, M.T.; Savoia, P.; Bernengo, M.G. Vitiligo is an independent favourable prognostic factor in stage III and IV metastatic melanoma patients: Results from a single-institution hospital-based observational cohort study. Ann. Oncol. 2010, 21, 409–414. [Google Scholar] [CrossRef] [PubMed]
  52. Moretti, S.; Spallanzani, A.; Pinzi, C.; Prignano, F.; Fabbri, P. Fibrosis in regressing melanoma versus nonfibrosis in halo nevus upon melanocyte disappearance: Could it be related to a different cytokine microenvironment? J. Cutan. Pathol. 2007, 34, 301–308. [Google Scholar] [CrossRef] [PubMed]
  53. Alikhan, A.; Felsten, L.M.; Daly, M.; Petronic-Rosic, V. Vitiligo: A comprehensive overview. J. Am. Acad. Dermatol. 2011, 65, 473–491. [Google Scholar] [CrossRef] [PubMed]
  54. Nedelcu, R.I.; Zurac, S.A.; Brinzea, A.; CIioplea, M.-D.; Turcu, G.; Popescu, R.; Popescu, C.-M.; Ion, D.A. Morphological features of melanocytic tumors with depigmented halo: Review of the literature and personal results. Rom. J. Morphol. Embryol. 2015, 56, 659–663. [Google Scholar]
  55. Fu, Q.; Chen, N.; Ge, C.; Li, R.; Li, Z.; Zeng, B.; Li, C.; Wang, Y.; Xue, Y.; Song, X.; et al. Prognostic value of tumor-infitrating lymphocytes in melanoma: A systematic review and meta-analysis. Oncoimmunology 2019, 8, e1593806. [Google Scholar] [CrossRef] [Green Version]
  56. Anichini, A.; Molla, A.; Mortarini, R.; Tragni, G.; Bersani, I.; Di Nicola, M.; Gianni, A.M.; Pilotti, S.; Dunbar, R.; Cerundolo, V.; et al. An expanded peripheral T cell population to a cytotoxic T lymphocyte (CTL)-defined, melanoma-specific antigen in metastatic melanomapatients impacts on generation of peptide-specific CTLs but does not overcome tumor escape from immune surveillance in metastatic lesions. J. Exp. Med. 1999, 190, 651–667. [Google Scholar]
  57. Rivoltini, L.; Carrabba, M.; Huber, V.; Castelli, C.; Novellino, L.; Dalerba, P.; Mortarini, R.; Arancia, G.; Anichini, A.; Fais, S.; et al. Immunity to cancer: Attack and escape in T lymphocyte-tumor cell interaction. Immunol. Rev. 2002, 188, 97–113. [Google Scholar] [CrossRef]
  58. Thurner, B.; Haendle, I.; Röder, C.; Dieckmann, D.; Keikavoussi, P.; Jonuleit, H.; Bender, A.; Maczek, C.; Schreiner, D.; von den Driesch, P.; et al. Vaccination with mage-3A1 peptide-pulsed mature, monocyte-derived dendritic cells expands specific cytotoxic T cells and induces regression of some metastases in advanced stage IV melanoma. J. Exp. Med. 1999, 190, 1669–1678. [Google Scholar] [CrossRef] [Green Version]
  59. Carreno, B.M.; Magrini, V.; Becker-Hapak, M.; Kaabinejadian, S.; Hundal, J.; Petti, A.A.; Ly, A.; Lie, W.R.; Hildebrand, W.H.; Mardis, E.R.; et al. Cancer immunotherapy. A dendritic cell vaccine increases the breadth and diversity of melanoma neoantigen-specific T cells. Science 2015, 348, 803–808. [Google Scholar] [CrossRef] [Green Version]
  60. Dillman, R.O.; Cornforth, A.N.; McClay, E.F.; Depriest, C. Patient-specific dendritic cell vaccines with autologous tumor antigens in 72 patients with metastatic melanoma. Melanoma Manag. 2019, 6, MMT20. [Google Scholar] [CrossRef] [Green Version]
  61. Cui, J.; Chen, D.; Misfeldt, M.L.; Swinfard, R.W.; Bystryn, J.C. Antimelanoma antibodies in swine with spontaneously regressing melanoma. Pigment. Cell Res. 1995, 8, 60–63. [Google Scholar] [CrossRef]
  62. Hara, I.; Takechi, Y.; Houghton, A.N. Implicating a role for immune recognition of self in tumor rejection: Passive immunization against the brown locus protein. J. Exp. Med. 1995, 182, 1609–1614. [Google Scholar] [CrossRef]
  63. Zhang, P.; Côté, A.L.; de Vries, V.C.; Usherwood, E.J.; Turk, M.J. Induction of postsurgical tumor immunity and T-cell memory by a poorly immunogenic tumor. Cancer Res. 2007, 67, 6468–6476. [Google Scholar] [CrossRef] [Green Version]
  64. Belum, V.R.; Benhuri, B.; Postow, M.A.; Hellmann, M.D.; Lesokhin, A.M.; Segal, N.H.; Motzer, R.J.; Wu, S.; Busam, K.J.; Wolchok, J.D.; et al. Characterisation and management of dermatologic adverse events to agents targeting the PD-1 receptor. Eur. J. Cancer 2016, 60, 12–25. [Google Scholar] [CrossRef] [Green Version]
  65. Hwang, S.J.E.; Park, J.J.W.; Wakade, D.; Chou, S.; Byth, K.; Fernandez-Penas, P. Cutaneous adverse events of anti-programmed death 1 antibodies combined with anti-cytotoxic T-lymphocyte-associated protein 4 therapy use in patients with metastatic melanoma. Melanoma Res. 2019, 29, 172–177. [Google Scholar] [CrossRef]
  66. Nakamura, Y.; Tanaka, R.; Asami, Y.; Teramoto, Y.; Imamura, T.; Sato, S.; Maruyama, H.; Fujisawa, Y.; Matsuya, T.; Fujimoto, M.; et al. Correlation between vitiligo occurrence and clinical benefit in advanced melanoma patients treated with nivolumab: A multi-institutional retrospective study. J. Dermatol. 2017, 44, 117–122. [Google Scholar] [CrossRef]
  67. Teulings, H.E.; Limpens, J.; Jansen, S.N.; Zwinderman, A.H.; Reitsma, J.B.; Spuls, P.I.; Luiten, R.M. Vitiligo-like depigmentation in patients with stage III-IV melanoma receiving immunotherapy and its association with survival: A systematic review and meta-analysis. J. Clin. Oncol. 2015, 33, 773–781. [Google Scholar] [CrossRef]
  68. Indini, A.; Di Guardo, L.; Cimminiello, C.; Prisciandaro, M.; Randon, G.; De Braud, F.; Del Vecchio, M. Immune-related adverse events correlate with improved survival in patients undergoing anti-PD1 immunotherapy for metastatic melanoma. J. Cancer Res. Clin. Oncol. 2019, 145, 511–521. [Google Scholar] [CrossRef]
  69. Burillo-Martinez, S.; Morales-Raya, C.; Prieto-Barrios, M.; Rodriguez-Peralto, J.L.; Ortiz-Romero, P.L. Pembrolizumab-Induced Extensive Panniculitis and Nevus Regression: Two Novel Cutaneous Manifestations of the Post-immunotherapy Granulomatous Reactions Spectrum. JAMA Dermatol. 2017, 153, 721–722. [Google Scholar] [CrossRef]
  70. Plaquevent, M.; Greliak, A.; Pinard, C.; Duval-Modeste, A.B.; Joly, P. Simultaneous long-lasting regression of multiple nevi and melanoma metastases after ipilimumab therapy. Melanoma Res. 2019, 29, 311–312. [Google Scholar] [CrossRef]
  71. Nakamura, Y.; Fujino, T.; Kagamu, H.; Matsuya, T.; Teramoto, Y.; Asami, Y.; Yamamoto, A. Induction of Immune Reaction in Benign Melanocytic Nevi Without Halo During Nivolumab Therapy in a Patient With Melanoma. JAMA Dermatol. 2017, 153, 832–834. [Google Scholar] [CrossRef] [PubMed]
  72. Dimitriou, F.; Mangana, J.; Dummer, R. Hair Depigmentation and Hair Loss in Advanced Melanoma Treated with Combined Immunotherapy and Targeted Therapy. Acta. Derm. Venereol. 2019. Epub ahead of print. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Freites-Martinez, A.; Shapiro, J.; Goldfarb, S.; Nangia, J.; Jimenez, J.J.; Paus, R.; Lacouture, M.E. Hair disorders in patients with cancer. J. Am. Acad. Dermatol. 2019, 80, 1179–1196. [Google Scholar] [CrossRef]
  74. Hofmann, L.; Forschner, A.; Loquai, C.; Goldinger, S.M.; Zimmer, L.; Ugurel, S.; Schmidgen, M.I.; Gutzmer, R.; Utikal, J.S.; Göppner, D.; et al. Cutaneous, gastrointestinal, hepatic, endocrine, and renal side-effects of anti-PD-1 therapy. Eur. J. Cancer 2016, 60, 190–209. [Google Scholar] [CrossRef]
  75. Yeh, S.; Karne, N.K.; Kerkar, S.P.; Heller, C.K.; Palmer, D.C.; Johnson, L.A.; Li, Z.; Bishop, R.J.; Wong, W.T.; Sherry, R.M.; et al. Ocular and systemic autoimmunity after successful tumor-infiltrating lymphocyte immunotherapy for recurrent, metastatic melanoma. Ophthalmology 2009, 116, 981–989. [Google Scholar] [CrossRef] [Green Version]
  76. Mihailovic, N.; Dyballa, J.; Herz, S.; Fluck, M.; Alnawaiseh, M.; Merté, R.L.; Nicole, E. Vogt-Koyanagi-Harada-like uveitis under immune checkpoint inhibitor treatment for metastasized malignant melanoma. Ophthalmologe 2019, 5. [Google Scholar] [CrossRef]
  77. Nakamura, Y.; Teramoto, Y.; Asami, Y.; Matsuya, T.; Adachi, J.I.; Nishikawa, R.; Yamamoto, A. Nivolumab Therapy for Treatment-Related Vitiligo in a Patient With Relapsed Metastatic Melanoma. JAMA Dermatol. 2017, 153, 942–944. [Google Scholar] [CrossRef]
  78. Malik, B.T.; Byrne, K.T.; Vella, J.L.; Zhang, P.; Shabaneh, T.B.; Steinberg, S.M.; Molodtsov, A.K.; Bowers, J.S.; Angeles, C.V.; Paulos, C.M.; et al. Resident memory T cells in the skin mediate durable immunity to melanoma. Sci. Immunol. 2017, 2, eaam6346. [Google Scholar] [CrossRef] [Green Version]
  79. Larsabal, M.; Marti, A.; Jacquemin, C.; Rambert, J.; Thiolat, D.; Dousset, L.; Taieb, A.; Dutriaux, C.; Prey, S.; Boniface, K.; et al. Vitiligo-like lesions occurring in patients receiving anti-programmed cell death-1 therapies are clinically and biologically distinct from vitiligo. J. Am. Acad. Dermatol. 2017, 76, 863–870. [Google Scholar] [CrossRef]
  80. Wang, X.X.; Wang, Q.Q.; Wu, J.Q.; Jiang, M.; Chen, L.; Zhang, C.F.; Xiang, L.H. Increased expression of CXCR3 and its ligands in patients with vitiligo and CXCL10 as a potential clinical marker for vitiligo. Br. J. Dermatol. 2016, 174, 1318–1326. [Google Scholar] [CrossRef]
  81. Pantuck, M.; McDermott, D.; Drakaki, A. To treat or not to treat: Patient exclusion in immune oncology clinical trials due to preexisting autoimmune disease. Cancer 2019, 125, 3506–3513. [Google Scholar] [CrossRef]
  82. Axelrod, M.L.; Johnson, D.B.; Balko, J.M. Emerging biomarkers for cancer immunotherapy in melanoma. Sem. Cancer Biol. 2018, 52, 207–215. [Google Scholar] [CrossRef]
  83. Buder-Bakhaya, K.; Hassel, J.C. Biomarkers for clinical benefit of immune checkpoint inhibitor treatment—A review from the melanoma perspective and beyond. Front. Immunol. 2018, 9, 1474. [Google Scholar] [CrossRef]
  84. Otoshi, T.; Nagano, T.; Tachihara, M.; Nishimura, Y. Possible biomarkers for cancer immunotherapy. Cancer 2019, 11, 935. [Google Scholar] [CrossRef] [Green Version]
  85. Ferrucci, P.F.; Ascierto, P.A.; Pigozzo, J.; Del Vecchio, M.; Maio, M.; Antonini Cappellini, G.C.; Guidoboni, M.; Queirolo, P.; Savoia, P.; Mandalà, M.; et al. Baseline neutrophils and derived neutrophil-to-lymphocyte ratio: Prognostic relevance in metastatic melanoma patients receiving ipilimumab. Ann. Oncol. 2016, 27, 732–738. [Google Scholar] [CrossRef]
  86. Solak, B.; Dikicier, B.S.; Cosansu, N.C.; Erdem, T. Neutrophil to lymphocyte ratio in patients with vitiligo. Adv. Dermatol. Allergol. 2017, 34, 468–470. [Google Scholar] [CrossRef] [Green Version]
  87. Chen, G.; Huang, A.C.; Zhang, W.; Zhang, G.; Wu, M.; Xu, W.; Yu, Z.; Yang, J.; Wang, B.; Sun, H.; et al. Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response. Nature 2018, 560, 382–386. [Google Scholar] [CrossRef]
  88. Herbst, R.S.; Soria, J.C.; Kowanetz, M.; Fine, G.D.; Hamid, O.; Gordon, M.S.; Sosman, J.A.; McDermott, D.F.; Powderly, J.D.; Gettinger, S.N.; et al. Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients. Nature 2014, 515, 563–567. [Google Scholar] [CrossRef] [Green Version]
  89. Topalian, S.L.; Hodi, F.S.; Brahmer, J.R.; Gettinger, S.N.; Smith, D.C.; McDermott, D.F.; Powderly, J.D.; Carvajal, R.D.; Sosman, J.A.; Atkins, M.B.; et al. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N. Engl. J. Med. 2012, 366, 2443–2454. [Google Scholar] [CrossRef]
  90. Rahimi, A.; Hossein-Nataj, H.; Hajheydari, Z.; Aryanian, Z.; Shayannia, A.; Ajami, A.; Asgarian-Omran, H. Expression analysis of PD-1 and Tim-3 immune checkpoint receptors in patients with vitiligo; positive association with disease activity. Exp. Dermatol. 2019, 28, 674–681. [Google Scholar] [CrossRef]
  91. Ji, R.R.; Chasalow, S.D.; Wang, L.; Hamid, O.; Schmidt, H.; Cogswell, J.; Alaparthy, S.; Berman, D.; Jure-Kunkel, M.; Siemers, N.O.; et al. An immune-active tumor microenvironment favors clinical response to ipilimumab. Cancer Immunol. Immunother 2012, 61, 1019–1031. [Google Scholar] [CrossRef]
  92. Speeckaert, R.; Speeckaert, M.; De Schepper, S.; Van Geel, N. Biomarkers of disease activity in vitiligo: A systematic review. Autoimmunity Rev. 2017, 16, 937–945. [Google Scholar] [CrossRef]
  93. Zaretsky, J.M.; Garcia-Diaz, A.; Shin, D.S.; Escuin-Ordinas, H.; Hugo, W.; Hu-Lieskovan, S.; Torrejon, D.Y.; Abril-Rodriguez, G.; Sandoval, S.; Barthly, L.; et al. Mutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma. N. Engl. J. Med. 2016, 375, 819829. [Google Scholar] [CrossRef]
  94. Samaka, R.M.; Basha, M.A.; Menesy, D. Role of Janus kinase I and signal transduce and activator of transcription 3 in vitiligo. Clin. Cosmet. Invest. Dermatol. 2019, 12, 469–480. [Google Scholar] [CrossRef] [Green Version]
  95. Daud, A.I.; Loo, K.; Pauli, M.L.; Sanchez-Rodriguez, R.; Sandoval, P.M.; Taravati, K.; Tsai, K.; Nosrati, A.; Nardo, L.; Alvarado, M.D.; et al. Tumor immune profiling predicts response to anti-PD-1 therapy in human melanoma. J. Clin. Invest. 2016, 126, 3447–3452. [Google Scholar] [CrossRef]
  96. Queirolo, P.; Dozin, B.; Morabito, A.; Banelli, B.; Piccioli, P.; Fava, C.; Leo, C.; Carosio, R.; Laurent, S.; Fontana, V.; et al. Association of CTLA-4 Gene Variants with Response to Therapy and Long-term Survival in Metastatic Melanoma Patients Treated with Ipilimumab: An Italian Melanoma Intergroup Study. Front. Immunol. 2017, 8, 386. [Google Scholar] [CrossRef] [Green Version]
  97. Spritz, R.A.; Andersen, G.H. Genetics of Vitiligo. Dermatol. Clin. 2017, 35, 245–255. [Google Scholar] [CrossRef] [Green Version]
  98. Le, D.T.; Durham, J.N.; Smith, K.N.; Wang, H.; Bartlett, B.R.; Aulakh, L.K.; Lu, S.; Kemberling, H.; Wilt, C.; Luber, B.S.; et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 2017, 357, 409–413. [Google Scholar] [CrossRef] [Green Version]
  99. Le Poole, I.C.; Sarangarajan, R.; Zhao, Y.; Stennett, L.S.; Brown, T.L.; Sheth, P.; Miki, T.; Boissy, R.E. ‘VIT1′, a novel gene associated with vitiligo. Pigment. Cell Res. 2001, 14, 475–484. [Google Scholar] [CrossRef]
  100. Rahner, N.; Höefler, G.; Högenauer, C.; Lackner, C.; Steinke, V.; Sengteller, M.; Friedl, W.; Aretz, S.; Propping, P.; Mangold, E.; et al. Compound heterozygosity for two MSH6 mutations in a patient with early onset colorectal cancer, vitiligo and systemic lupus erythematosus. Am. J. Med. Genet. A 2008, 146, 1314–1319. [Google Scholar] [CrossRef]
  101. Huber, V.; Vallacchi, V.; Fleming, V.; Hu, X.; Cova, A.; Dugo, M.; Shahaj, E.; Sulsenti, R.; Vergani, E.; Filipazzi, P.; et al. Tumor-derived microRNAs induce myeloid suppressor cells and predict immunotherapy resistance in melanoma. J. Clin. Invest. 2018, 128, 5505–5516. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Šahmatova, L.; Tankov, S.; Prans, E.; Aab, A.; Hermann, H.; Reemann, P.; Pihlap, M.; Karelson, M.; Abram, K.; Kisand, K.; et al. MicroRNA-155 is Dysregulated in the Skin of Patients with Vitiligo and Inhibits Melanogenesis-associated Genes in Melanocytes and Keratinocytes. Acta. Derm. Venereol. 2016, 96, 742–747. [Google Scholar] [CrossRef] [PubMed]
  103. Shi, Y.L.; Weiland, M.; Li, J.; Hamzavi, I.; Henderson, M.; Huggins, R.H.; Mahmoud, B.H.; Agbai, O.; Mi, X.; Dong, Z.; et al. MicroRNA expression profiling identifies potential serum biomarkers for non-segmental vitiligo. Pigment. Cell Melanoma Res. 2013, 26, 418–421. [Google Scholar] [CrossRef]
  104. Vaish, U.; Kumar, A.A.; Varshney, S.; Ghosh, S.; Sengupta, S.; Sood, C.; Kar, H.K.; Sharma, P.; Natarajan, V.T.; Gokhale, R.S.; et al. Micro RNAs upregulated in vitiligo skin play an important role in its aetiopathogenesis by altering TRP-1 expression and keratinocyte-melanocytes cross-talk. Sci. Rep. 2019, 9, 10079. [Google Scholar] [CrossRef]
  105. Karachaliou, N.; Gonzalez-Cao, M.; Crespo, G.; Drozdowskyj, A.; Aldeguer, E.; Gimenez-Capitan, A.; Teixido, C.; Molina-Vila, M.A.; Viteri, S.; De Los Llanos Gil, M.; et al. Interferon gamma, an important marker of response to immune checkpoint blockade in non-small cell lung cancer and melanoma patients. Ther. Adv. Med. Oncol. 2018, 10, 1–23. [Google Scholar] [CrossRef]
  106. Elia, G. MIG Th1 chemokine in vitiligo. Clin. Ter. 2018, 169, e303–e307. [Google Scholar]
  107. Relke, N.; Gooderham, M. The use of Janus kinase inhibitors in vitiligo: A review of the literature. J. Cut. Med. Surg. 2019, 23, 298–306. [Google Scholar] [CrossRef]
  108. Fishel, R. Mismatch repair. J. Biol. Chem. 2015, 290, 26395–26403. [Google Scholar] [CrossRef] [Green Version]
  109. Richman, S. Deficient mismatch repair: Read all about it (Review). Int. J. Oncol. 2015, 47, 1189–1202. [Google Scholar] [CrossRef]
  110. Lee, V.; Murphy, A.; Le, D.T.; Diaz, L.A.J. Mismatch repair deficiency and response to immune checkpoint blockade. Oncologist 2016, 21, 1200–1211. [Google Scholar] [CrossRef] [Green Version]
  111. Shi, Y.L.; Weiland, M.; Lim, H.W.; Mi, Q.S.; Zhou, L. Serum miRNA expression profiles change in autoimmune vitiligo in mice. Exp. Dermatol. 2014, 23, 140–142. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Ruksha, T.G.; Komina, A.V.; Palkina, N.V. MicroRNA in skin diseases. Eur. J. Dermatol. 2017, 27, 343–352. [Google Scholar] [CrossRef] [PubMed]
  113. Carvajal, R.D.; Schwartz, G.K.; Tezel, T.; Marr, B.; Francis, J.H.; Nathan, P.D. Metastatic disease from uveal melanoma: Treatment options and future prospects. Br. J. Ophthalmol. 2017, 101, 38–44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Kaliki, S.; Shields, C.L. Uveal melanoma: Relatively rare but deadly cancer. Eye 2017, 31, 241–257. [Google Scholar] [CrossRef] [Green Version]
  115. Jindal, V. Role of immune checkpoint inhibitors and novel immunotherapies in uveal melanoma. Chin. Clin. Oncol. 2018, 7, 1–8. [Google Scholar] [CrossRef]
  116. Schank, T.E.; Hassel, J.C. Immunotherapies for the treatment of uveal melanoma-history and future. Cancers 2019, 11, 1048. [Google Scholar] [CrossRef] [Green Version]
  117. Zimmer, L.; Vaubel, J.; Mohr, P.; Hauschild, A.; Utikal, J.S.; Simon, J.; Garbe, C.; Herbst, R.; Enk, A.; Kampgen, E.; et al. Phase II DeCOG-study of ipilimumab in pretreated and treatment-naive patients with metastatic uveal melanoma. PLoS ONE 2015, 10, e0118564. [Google Scholar] [CrossRef]
  118. Algazi, A.P.; Tsai, K.K.; Shoushtari, A.N.; Munhoz, R.R.; Eroglu, Z.; Piulats, J.M.; Ott, P.A.; Johnson, D.B.; Hwang, J.; Daud, A.I.; et al. Clinical outcomes in metastatic uveal melanoma treated with PD-1 and PD-L1 antibodies. Cancer 2016, 122, 3344–3353. [Google Scholar] [CrossRef]
  119. Heppt, M.V.; Heinzerling, L.; Kähler, K.C.; Forschner, A.; Kirchberger, M.C.; Loquai, C.; Meissner, M.; Meier, F.; Terheyden, P.; Schell, B.; et al. Prognostic factors and outcomes in metastatic uveal melanoma treated with programmed cell death-1 or combined PD-1/cytotoxic T-lymphocyte antigen-4 inhibition. Eur. J. Cancer 2017, 82, 56–65. [Google Scholar] [CrossRef]
  120. Rapisuwon, S.; Izar, B.; Batenchuk, C.; Avila, A.; Mei, S.; Sorger, P.; Parks, J.M.; Cooper, S.J.; Wagner, D.; Zeck, J.C.; et al. Exceptional response and multisystem autoimmune-like toxicities associated with the same T cell clone in a patient with uveal melanoma treated with immune checkpoint inhibitors. J. Immunother Cancer 2019, 7, 61. [Google Scholar] [CrossRef]
  121. Fountain, E.; Bassett, R.L.; Cain, S.; Posada, L.; Gombos, D.S.; Hwu, P.; Bedikian, A.; Patel, S.P. Adjuvant Ipilimumab in High-Risk Uveal Melanoma. Cancers 2019, 11, 152. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Gong, J.; Chehrazi-Raffle, A.; Reddi, S.; Salgia, R. Development of PD-1 and PD-L1 inhibitors as a form of cancer immunotherapy: A comprehensive review of registration trials and future considerations. J. Immunother. Cancer 2018, 6, e8. [Google Scholar] [CrossRef] [PubMed]
  123. Spain, L.; Diem, S.; Larkin, J. Management of toxicities of immune checkpoint inhibitors. Cancer Treat. Rev. 2016, 44, 51–60. [Google Scholar] [CrossRef]
  124. Zarogoulidis, P.; Huang, H.; Tsiouda, T.; Sardeli, C.; Trakada, G.; Veletza, L.; Kallianos, A.; Kosmidis, C.; Rapti, A.; Papaemmanouil, L.; et al. Immunotherapy “Shock” with vitiligo due to nivolumab administration as third line therapy in lung adenocarcinoma. Respir Med. Case Rep. 2017, 22, 283–286. [Google Scholar] [CrossRef]
  125. Kosche, C.; Mohindra, N.; Choi, J.N. Vitiligo in a patient undergoing nivolumab treatment for non-small cell lung cancer. JAAD Case Rep. 2018, 4, 1042–1044. [Google Scholar] [CrossRef] [Green Version]
  126. Liu, R.C.; Consuegra, G.; Chou, S.; Fernandez Peñas, P. Vitiligo-like depigmentation in oncology patients treated with immunotherapies for nonmelanoma metastatic cancers. Clin. Exp. Dermatol. 2019, 44, 643–646. [Google Scholar] [CrossRef]
  127. Lolli, C.; Medri, M.; Ricci, M.; Schepisi, G.; Filograna, A.; De Giorgi, U.; Stanganelli, I. Vitiligo-like lesions in a patient treated with nivolumab for renal cell carcinoma. Medicine 2018, 97, e13810. [Google Scholar] [CrossRef]
  128. Pasquali, S.; Hadjinicolaou, A.V.; Chiarion Sileni, V.; Rossi, C.R.; Mocellin, S. Systemic treatments for metastatic cutaneous melanoma. Cochrane Database Syst. Rev. 2018, 2, CD011123. [Google Scholar] [CrossRef]
  129. Ohtsuka, M.; Miura, T.; Mori, T.; Ishikawa, M.; Yamamoto, T. Occurence of psoriasiform eruption during nivolumab therapy for primary oral mucosal melanoma. JAMA Dermatol. 2015, 151, 797–799. [Google Scholar] [CrossRef] [Green Version]
  130. Totonchy, M.B.; Ezaldein, H.H.; Ko, C.J.; Choi, J.N. Inverse psoriasiform eruption during pembrolizumab therapy for metastatic melanoma. JAMA Dermatol. 2016, 152, 590–592. [Google Scholar] [CrossRef]
  131. Kato, Y.; Otsuka, A.; Miyachi, Y.; Kabashima, K. Exacerbation of psoriasis vulgaris during nivolumab for oral mucosal melanoma. J. Eur. Acad. Dermatol. Venereol. 2016, 30, e29–e108. [Google Scholar] [CrossRef] [PubMed]
  132. Matsumura, N.; Ohtsuka, M.; Kikuchi, N.; Yamamoto, T. Exacerbation of psoriasis during nivolumab therapy for metastatic melanoma. Acta Derm. Venereol. 2016, 96, 259–260. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Phadke, S.D.; Ghabour, R.; Swick, B.L.; Swenson, A.; Milhem, M.; Zakharia, Y. Pembrolizumab therapy triggering an exacerbation of preexisting autoimmune disease: A report of 2 patients cases. J. Invest. Med. High. Impact Case Rep. 2016, 4, 2324709616674316. [Google Scholar] [CrossRef] [PubMed]
  134. Bonigen, J.; Raynaud-Donzel, C.; Hureaux, J.; Kramkimel, N.; Blom, A.; Jeudy, G.; Breton, A.L.; Hubiche, T.; Bedane, C.; Legoupil, D.; et al. Anti-PD1-induced psoriasis: A study of 21 patients. J. Eur. Acad. Dermatol. Venereol. 2016, 31, e254. [Google Scholar] [CrossRef] [PubMed]
  135. Voudouri, D.; Nikolaou, V.; Laschos, K.; Charpidou, A.; Soupos, N.; Triantafyllopoulou, I.; Panoutsopoulou, I.; Aravantinos, G.; Syrigos, K.; Stratigos, A. Anti-PD1/PDL1 induced psoriasis. Curr. Probl. Cancer 2017, 41, 407–412. [Google Scholar] [CrossRef] [PubMed]
  136. Schmidgen, M.I.; Butsch, F.; Schadmand-Fischer, S.; Steinbrik, K.; Grabbe, S.; Weidenthaler-Barth, B.; Loquai, C. Pembrolizumab-induced lichen planus pemphigoides in a patient with metastatic melanoma. J. Dtsch. Dermatol. Ges. 2017, 15, 742–745. [Google Scholar] [CrossRef]
  137. Mochel, M.C.; Ming, M.E.; Imadojemu, S.; Gangadhar, T.C.; Schuchter, L.M.; Elenitsas, R.; Payne, A.S.; Chu, E.Y. Cutaneous autoimmune effects in the setting of therapeutic immune checkpoint inhibition for metastatic melanoma. J. Cutan. Pathol. 2016, 43, 787–791. [Google Scholar] [CrossRef]
  138. Carlos, G.; Anforth, R.; Chou, S.; Clements, A.; Fernandez Peñas, P. A case of bullous pemphigoid in a patient with metastatic melanoma treated with pembrolizumab. Melanoma Res. 2015, 25, 265–268. [Google Scholar] [CrossRef]
  139. Hwang, S.J.E.; Carlos, G.; Chou, S.; Wakade, D.; Carlino, M.S.; Fernandez-Penas, P. Bullous pemphigoid, an autoantibody-mediated disease, is a novel immune-related adverse event in patients treated with anti-programmed cell death 1 antibodies. Melanoma Res. 2016, 26, 413–416. [Google Scholar] [CrossRef]
  140. Strickley, J.D.; Vence, L.M.; Burton, S.K.; Callen, J.P. Nivolumab-induced Lichen Planus Pemphigoides. Cutis 2019, 103, 224–226. [Google Scholar]
  141. Lopez, A.T.; Geskin, L. A case of nivolumab-induced Bullous Pemphigoid: Review of dermatologic toxicity associated with programmed cell death protein-1/programmed death ligand-1 inhibitors and reccomendations for diagnosis and management. Oncologist 2018, 23, 1119–1126. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Ijms 20 05731 g001 550
Figure 1. Cytotoxic T lymphocytes (CTLs) present around a melanoma lesion and a vitiligo patch. (A) Clinical photographs of a melanoma and a vitiligo lesion. (B) Hematoxylin-eosin staining of a skin biopsy section from a melanoma and a vitiligo lesion. These images have been taken for our study approved by IDI-IRCCS Ethical Committee (510/3, 2018), as this figure is from our laboratory and the images have not been published elsewhere. The different subsets of immune cells present around the lesions are schematically represented. Th-1: T helper-1 cells, T-reg: T regulatory cells, MDSCs: myeloid-derived suppressor cells. In vitiligo lesion T-reg cells are reduced and the presence of MDSCs was not reported.
Figure 1. Cytotoxic T lymphocytes (CTLs) present around a melanoma lesion and a vitiligo patch. (A) Clinical photographs of a melanoma and a vitiligo lesion. (B) Hematoxylin-eosin staining of a skin biopsy section from a melanoma and a vitiligo lesion. These images have been taken for our study approved by IDI-IRCCS Ethical Committee (510/3, 2018), as this figure is from our laboratory and the images have not been published elsewhere. The different subsets of immune cells present around the lesions are schematically represented. Th-1: T helper-1 cells, T-reg: T regulatory cells, MDSCs: myeloid-derived suppressor cells. In vitiligo lesion T-reg cells are reduced and the presence of MDSCs was not reported.
Ijms 20 05731 g001
Ijms 20 05731 g002 550
Figure 2. Leukoderma occurring in melanoma patients after treatment with check-point inhibitors. Patients with metastatic melanoma that were treated with check-point inhibitors were enrolled in the study that was approved by the IDI-IRCCS Ethical Committee (510/3, 2018). Photographs have been taken through Wood’s lamp examination. Either halo phenomenon around nevi (arrows, (A)) or broad skin patches (B,C) can be observed. Leukoderma images from two representative patients are shown.
Figure 2. Leukoderma occurring in melanoma patients after treatment with check-point inhibitors. Patients with metastatic melanoma that were treated with check-point inhibitors were enrolled in the study that was approved by the IDI-IRCCS Ethical Committee (510/3, 2018). Photographs have been taken through Wood’s lamp examination. Either halo phenomenon around nevi (arrows, (A)) or broad skin patches (B,C) can be observed. Leukoderma images from two representative patients are shown.
Ijms 20 05731 g002
Ijms 20 05731 g003 550
Figure 3. Skin irAEs in patients diagnosed with cutaneous melanoma or lung cancer undergoing immunotherapy with check-point inhibitors. The mean onset delay from therapy initiation (T0) is reported. Leukoderma cases are significantly higher in patients treated with check-point inhibitors for melanoma than for those with lung cancer (thicker arrow). Instead, other autoimmune cutaneous irAEs are similarly represented.
Figure 3. Skin irAEs in patients diagnosed with cutaneous melanoma or lung cancer undergoing immunotherapy with check-point inhibitors. The mean onset delay from therapy initiation (T0) is reported. Leukoderma cases are significantly higher in patients treated with check-point inhibitors for melanoma than for those with lung cancer (thicker arrow). Instead, other autoimmune cutaneous irAEs are similarly represented.
Ijms 20 05731 g003
Table
Table 1. Biomarkers of response to check-point inhibitor immunotherapy that are also associated with vitiligo development.
Table 1. Biomarkers of response to check-point inhibitor immunotherapy that are also associated with vitiligo development.
BiomarkerImmunotherapyVitiligo
NLRHigh NLR positively associates with response [85].High NLR in patients with generalized disease [86].
PD-1/PD-L1Expression of PD-L1 positively correlates with response [87,88,89].High levels of PD-1 on CD8+ T cells positively associate with disease activity [90].
IFN-γ and IFN-related genesExpression of CXCL-9, CXCL-10, CXCL-11 in the tumor microenvironment positively correlates with response [91].High serum levels of CXCL-9 and CXCL-10 indicate vitiligo active phase [92].
Janus kinase (JAK)/signal transducers and activators of transcription (STAT)JAK mutations are related to resistance to immunotherapy [93].JAKs and STATs are over-expressed in vitiligo [94].
CTLA-4High pretreatment expression of CTLA-4 in tumor tissue [88] or in tumor-infiltrating lymphocytes [95] positively correlates with response. Polymorphisms in the CTLA-4 gene are associated with response [96].Polymorphisms in CTLA-4 gene are involved in vitiligo development [97].
Mismatch repair (MMR)MMR deficiency positively correlates with response [98].Vitiligo has been documented in patients with MMR defects [99,100].
microRNAs (miRNAs)miR-146a, miR-155, miR-125b, miR-100, miR-let-7e, miR-125a, miR-146b, and miR-99b up-regulation predicts resistance to immunotherapy [101].miR-155, miR-125b, and miR-let-7e are up-regulated in vitiligo [102,103,104].
Table
Table 2. Main differences between uveal and cutaneous melanoma and their response to immunotherapy with check-point inhibitors.
Table 2. Main differences between uveal and cutaneous melanoma and their response to immunotherapy with check-point inhibitors.
UVEALCUTANEOUS
606 cases/year in Europe100,000 cases/year in Europe
Mainly liver metastasisMetastasis in various organs
GNAQ or GNA11 gene mutationsBRAF or NRAS gene mutations
Monosomy 3 in 50% of tumorsMonosomy 3 rarely occurring
0.8–5% positive responsiveness to immunotherapy20–60% positive responsiveness to immunotherapy

Share and Cite

MDPI and ACS Style

Failla, C.M.; Carbone, M.L.; Fortes, C.; Pagnanelli, G.; D’Atri, S. Melanoma and Vitiligo: In Good Company. Int. J. Mol. Sci. 2019, 20, 5731. https://doi.org/10.3390/ijms20225731

AMA Style

Failla CM, Carbone ML, Fortes C, Pagnanelli G, D’Atri S. Melanoma and Vitiligo: In Good Company. International Journal of Molecular Sciences. 2019; 20(22):5731. https://doi.org/10.3390/ijms20225731

Chicago/Turabian Style

Failla, Cristina Maria, Maria Luigia Carbone, Cristina Fortes, Gianluca Pagnanelli, and Stefania D’Atri. 2019. "Melanoma and Vitiligo: In Good Company" International Journal of Molecular Sciences 20, no. 22: 5731. https://doi.org/10.3390/ijms20225731

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop