Next Article in Journal
Revisited Metabolic Control and Reprogramming Cancers by Means of the Warburg Effect in Tumor Cells
Next Article in Special Issue
Adiponectin Suppresses Metastasis of Nasopharyngeal Carcinoma through Blocking the Activation of NF-κB and STAT3 Signaling
Previous Article in Journal
Evaluation of a Serum-Free Medium for Human Epithelial and Stromal Cell Culture
Previous Article in Special Issue
The Role of Histology-Agnostic Drugs in the Treatment of Metastatic Castration-Resistant Prostate Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Is Melanoma Progression Affected by Thyroid Diseases?

1
Department of Surgical Sciences, “Sapienza” University of Rome, 00161 Rome, Italy
2
Scientific Direction, IRCCS San Gallicano Dermatological Institute, 00144 Rome, Italy
3
Urology Department, M.G. Vannini Hospital, 00177 Rome, Italy
4
Department of Neurosciences, Mental Health and Sensory Organs, “Sapienza” University of Rome, 00161 Rome, Italy
5
Laboratory of Molecular and Cell Biology, Istituto Dermopatico dell’Immacolata, IDI-IRCCS, 00167 Rome, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2022, 23(17), 10036; https://doi.org/10.3390/ijms231710036
Submission received: 29 July 2022 / Revised: 25 August 2022 / Accepted: 31 August 2022 / Published: 2 September 2022
(This article belongs to the Special Issue Cancer Cell Invasion and Metastases 2.0)

Abstract

:
Clinical and epidemiological evidence indicate a relationship between thyroid diseases and melanoma. In particular, the hypothyroidism condition appears to promote melanoma spread, which suggests a protective role of thyroid hormones against disease progression. In addition, experimental data suggest that, in addition to thyroid hormones, other hormonal players of the hypothalamic–pituitary–thyroid (HPT) axis, namely the thyrotropin releasing hormone and the thyrotropin, are likely to affect melanoma cells behavior. This information warrants further clinical and experimental studies in order to build a precise pattern of action of the HPT hormones on melanoma cells. An improved knowledge of the involved molecular mechanism(s) could lead to a better and possibly personalized clinical management of these patients.

1. Introduction

Benign and malignant thyroid diseases (TD) have been associated with the occurrence of extra-thyroidal malignancies (ETM), including melanoma. In particular, breast and hematological cancers were found to display an increased odds ratio (OR) in all TD, while for other ETM, among which melanoma, colorectal, uterus, kidney, and ovary cancers, the OR augmented significantly in specific TD [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]. These connections have sparked interest about the possibility of detecting potential common inherited and environmental factors accountable for a disease’s etiology and/or progression. From a clinical point of view, an in-depth definition of such associations may promote an increased surveillance of TD patients at higher risk of developing ETM. On the other hand, elucidation of the underlying molecular mechanism(s) could lead to a better and possibly personalized clinical management of these patients. In this narrative literature review, we examine the epidemiological, clinical, and experimental findings connecting TD and melanoma, with the intention of identifying possible hormonal and molecular mechanism(s) underlying such association. To this end, two authors independently searched for articles in the PubMed database by entering the following keywords in the advanced search builder: melanoma; thyroid disease; (melanoma) and (thyroid disease)/(hypothyroidism)/(hyperthyroidism)/(thyroid cancer)/(thyroid hormones)/(TSH)/(TRH); (melanoma) and (therapy) and (side effects)/(adverse effects). Only articles in English published until July 2022 (including E-Pub ahead of print) were considered. Among these, studies performed on small sample sizes and without statistics were excluded from the discussion of epidemiological and clinical data. In the choice of citations, works published in the last 10 years were preferred, but previous works were also included if they contained relevant information.

2. Thyroid Diseases

Thyroid diseases include alterations in gland size (goiter) and/or function (hyperthyroidism, hypothyroidism), inflammatory conditions (thyroiditis), as well as abnormal cell proliferation of benign or malignant nature (adenomas and carcinomas). TDs are very common, showing a higher prevalence in the female gender [16]. Hypothyroidism and diffuse goiter, that may progress into nodular goiter, are usually observed in iodine-deficient areas [16]. On the other hand, autoimmune TD triggering either hypothyroidism, due to chronic lymphocytic thyroiditis, or hyperthyroidism, due to Graves’ disease, are the leading types of TD in iodine-sufficient areas [16]. The occurrence of thyroid nodules is also very frequent and estimated to affect nearly half of the entire adult population [16,17,18]. Up to 95% of thyroid nodules are benign lesions, with the remaining harboring a malignant lesion [17,18,19]. Thus, the first aim of their clinical evaluation is to exclude malignancy [18,19,20,21]. Thyroid carcinomas (TCs) account for roughly 1% of all human cancers, with an incidence sensibly increasing over the last decades as a result of the improved ability to diagnose malignancy in small non-palpable thyroid nodules [18,22,23,24,25,26,27,28,29,30]. The majority of TCs are sporadic, while about 3% to 9% of them display a familial presentation. Familial epithelial thyroid cancers (FETCs) are divided into syndromic and non-syndromic [31,32,33]. Syndromic FETC, with known susceptibility genes, include the Carney Complex, the Werner’s syndrome, the phosphatase and tensin homolog gene (PTEN)-hamartoma tumor syndrome (PHTS), and the familial adenomatous polyposis (FAP) [32,33]. The non-syndromic FETCs are characterized by an autosomal dominant pattern of inheritance with variable penetrance [31,32,33]. Histologically, epithelial TCs include the well-differentiated forms (DTC), comprising the papillary (PTC) and follicular TC (FTC), which may progress towards poorly differentiated TC (PDTC) and incurable anaplastic TC (ATC) [20]. The DTC histotypes represent about 90–95% of all TCs, and over the last years, a great improvement in the comprehension of the molecular mechanisms underlying their progression has been made [34,35]. In particular, more than 98% of oncogenic drivers have been identified, based on which a molecular classification of DTC has been proposed in order to improve patients’ clinical management [34,35]. The most frequent genetic alterations in PTC comprise activating mutations of genes encoding for proteins involved in the mitogen-activated protein kinase (MAPK) signaling pathway (i.e., BRAF and RAS genes), or fusions of RET and NTRK1 genes [31,32]. The progression from DTC to the more aggressive PDTC and ATC is triggered by the onset of additional mutations, such as those of the p53 and the telomerase reverse transcriptase (TERT) genes, and by induction in malignant cells of the epithelial–mesenchymal transition [36,37]. The prognosis of DTC patients is generally satisfactory, with a 10-year-survival rate of approximately 90% [34,37,38,39,40,41,42,43]. However, patients affected by PDTC or ATC do not respond to any treatment currently available, and have a dismal prognosis [36]. For these tumors, new therapeutic approaches based on selective tyrosine kinase inhibitors or immunotherapy are currently under clinical evaluation [41,42,43,44,45,46,47,48,49,50,51,52].

3. Melanoma

Melanocytes are skin cells responsible for the formation of melanin, which takes place inside specialized organelles called melanosomes. Melanin is then transferred to keratinocytes, where it concentrates to the apical face of the nucleus to protect the genetic material from ultraviolet radiation damage [53]. Melanoma arises from the malignant transformation of melanocytes and represents the most aggressive skin cancer due to its aptitude to metastasize at the initial stages of tumor growth [54,55,56]. Melanoma incidence and mortality have been found to increase in different world areas, in both men and women [54,55,56,57]. Nearly 90% of melanoma cases are considered sporadic while the remainder are identified as hereditary melanomas, which have an earlier onset with multiple malignant lesions [58]. In 2018 the World Health Organization (WHO) classification, based on specific genetic drivers’ mutations, classified melanomas into nine different categories according to the associated cumulative sun damage (CSD), which relates with molecular alterations of the lesions as reported in Table 1 [59,60,61,62,63,64]. These comprise: (i) low-CSD, represented by superficial spreading melanoma and characterized by a high frequency of the BRAFV600E mutation; (ii) high-CSD, including lentigo maligna melanoma and nodular adenoma, characterized by mutually exclusive mutations of the NRAS, NF1 and BRAF genes except the BRAFV600E; (iii) desmoplastic melanoma, bearing inactivating mutations of the NF1 gene, activating mutations of different proteins involved in the MAPK pathway, or mutations of the NFKBIE gene promoter; (iv) Spitz melanoma, characterized by mutations of the HRAS gene, gene fusion of different kinases such as ROS1, NTRK1 and NTRK3, BRAF, MET and RET, homozygous deletion of the CDKN2A gene, or TERT promoter mutations; (v) acral melanoma, displaying amplification of the CCND1, KIT and TERT genes as well as BRAF, NRAS and KIT gene mutations; (vi) mucosal melanoma, marked by several alterations of gene copy number; (vii) melanoma arising in congenital nevus, characterized by NRAS or BRAF mutations; (viii) melanoma arising in blue nevus, branded by mutations of different genes involved in the Gαq signaling pathway, including the GNAQ, GNA11, CYSLTR2 and PLCB4; and (ix) uveal melanoma, showing mutations similar to those observed in the melanoma arising in the blue nevus [56,57,58,59,60,61,62,63,64,65].
Around 90% of tumors are diagnosed at early stages with no evidence of metastasis. These patients have a favorable prognosis with 10 years’ tumor specific survival ranging between 75 and 95% [56,64]. If diagnosis is made when satellite metastases (up to 2 cm from the primary tumor) and in-transit metastases (between the primary tumor and the first draining lymph node) are present, the 10 years’ survival is reduced to 30–50% [64]. Similarly, the 10 years’ survival of patients with regional lymph node metastases ranges between 40 and 60%. However, patients with distant metastases have a poor prognosis with a median survival of few months [64]. Surgical excision of the lesion represents the primary treatment of melanoma patients followed, when indicated, by radiotherapy of the primary lesion or distant metastases [66]. Adjuvant immunotherapy or targeted therapy may be offered to patients: (i) lacking macroscopic metastases, but at risk of having microscopic metastases; (ii) with lesions thicker than 1.5 mm; or (iii) with completely resected stage II–IV melanoma [66]. In fact, outcomes of clinical trials performed over the last few years demonstrated that adjuvant therapies with ipilimumab, nivolumab, pembrolizumab, dabrafenib, and trametinib in patients with BRAF-mutated melanoma positively affect the overall survival (OS) and/or the relapse-free survival of patients [67,68,69,70,71,72].

4. Epidemiological Evidence for Thyroid Disease–Melanoma Association

4.1. Benign Thyroid Diseases and Melanoma

Epidemiological works evidenced a positive correlation between the hypothyroidism condition and melanoma progression [14,73,74]. In 2001, Ellerhorst and colleagues, analyzing a case study of 91 patients affected by uveal melanoma, reported a higher prevalence of hypothyroidism (13.2%) of unknown origin in melanoma patients compared to the general population (2%), with no significant effects on stage IV patients’ survival [73]. Later on, the same authors confirmed this finding in a larger case study comprising 1580 cutaneous melanoma patients, for whom the prevalence of hypothyroidism was 7%, and higher in female patients (13.9%) than in male ones (2.4%) [74]. These observations were further corroborated by Shah and colleagues on 156 cutaneous melanoma patients [14]. On the other hand, a population-based cohort study in Sweden performed on 18,156 Graves’ disease patients indicated a decreased risk of melanoma [11]. More recently, in a case study of 6386 female patients affected by benign TD, an augmented risk of ETM, including melanoma, was observed [1]. In particular, an increase in the OR, ranging from 4.8 to 9.1, was recorded for the development of melanoma among patients with benign TD. In addition, the OR was higher in younger patients than in older ones [1]. All together, these observations have led to suppose that alterations of the hypothalamic–pituitary–thyroid (HPT) axis, such as reduced thyroid hormones (TH), increased thyroid stimulating hormone (TSH), or thyrotropin releasing hormone (TRH) levels, could promote melanoma growth. The rationale and the evidence supporting this hypothesis will be described below.
In addition to arising spontaneously, TD can be induced by therapeutic regimens with several non-thyroid related drugs. Among these, there are immune checkpoint inhibitors (ICI), i.e., monoclonal humanized antibodies that interfere with the immune self-tolerance, resulting in a stimulation of T-cells to destroy the cancer cells [74,75]. Treatment with ICI greatly improved OS rates in unresectable and completely resected advanced-stage melanomas, as well as in adjuvant settings [76,77]. At present, antibodies targeting the cell surface programmed cell death 1 (PD-1) receptor (nivolumab or pembrolizumab), either in monotherapy or in combination with an antibody against the cytotoxic T-lymphocyte antigen-4 (CTLA-4) (ipilimumab), are the standard of care for melanoma patients [78]. In 2015, a systematic review and meta-analysis was performed on a total of 1265 patients from 22 clinical trials employing anti-CTLA-4 antibodies to assess the incidence of immunotherapy related adverse events (irAE) [79]. Autoimmune hypophysitis was the most common endocrine side effect, reported in up to 13% of clinical trials, with a main impairment of the HPT axis (89.3%). Conversely, hypo- and hyperthyroidism secondary to thyroiditis were infrequent (up to 5.6% in clinical trials). At the same time, another study evaluated survival as primary end point, and a series of irAE as secondary end points, on 945 patients with unresectable stage III or IV melanomas which received nivolumab or ipilimumab or both [80]. Hypothyroidism, hyperthyroidism, and hypophysitis were observed in a few patients, from 15% to less than 1% depending on the drug and the TD, but in almost all cases these effects were mild or moderate. More recently, another systematic review and meta-analysis estimated irAE in 6331 patients with advanced melanoma treated with anti-CTLA-4 or anti-PD-1 antibodies as monotherapy or in any concomitant or sequential combination [81]. The results obtained evidenced that hyperthyroidism, hypothyroidism, hypophysitis, and thyroiditis were the most frequent endocrine irAE. A very recent work examined the influence of thyroid dysfunctions consequent to anti-PD-1 therapy on OS rates of 249 melanoma patients [78]. Interestingly, clinically significant hypothyroidism was found to be an independent prognostic factor, with Hazard Ratio (HR) 0.51 (95% CI 0.29–0.87). This observation conflicts with the findings obtained for spontaneous onset hypothyroidism, which appears to be positively associated with melanoma progression, as mentioned above. However, in the case of drug-induced hypothyroidism, the better prognosis of melanomas may not depend on alterations of the HPT axis, but rather on the greater efficacy of the immunotherapy itself, which is also manifested in the form of irAE impacting the thyroid. In line with this hypothesis, one study executed on patients treated with single-agent anti-PD-1 antibodies for advanced cancers of various origins documented a markedly improved response to therapy in patients with irAE over those without irAE [82]. Moreover, in patients receiving tyrosine kinase inhibitors for different malignancies, including melanoma, new-onset hypothyroidism was associated with favorable clinical response [83].

4.2. Malignant Thyroid Diseases and Melanoma

Several studies documented a clear association between thyroid cancers and melanoma [1,7,15,84,85,86,87,88,89,90]. Patients with melanoma have a 2.3-fold higher risk of developing a PTC, while patients with PTC have a 1.8-fold higher risk of getting melanoma [84]. The reasons of such association remain to be determined. The fact that both melanoma and PTC are frequently characterized by activating mutations of the BRAF gene suggests the presence of shared etiologic events [15,91,92,93]. In both tumor types, the BRAF mutations, particularly BRAFV600E, are often encountered in more aggressive phenotypes [15,90,91,92]. In addition, germline mutations capable of conferring susceptibility to both melanoma and thyroid cancer have been identified [89,90,91,92]. Among these are the inactivating mutations of the PTEN gene responsible for the Cowden syndrome, characterized by multiple hamartomas and increased risk of breast, thyroid, endometrial, colorectal, and renal cancers, as well as of melanoma [94]. Germline mutations in the protection of telomeres 1 (POT1) gene have been shown to be implicated in melanoma predisposition [95,96,97,98,99,100]. Recently, a germline POT1 mutation was also identified in a two-generation Italian family with familial non-medullary thyroid cancer (FNMTC) [98]. However, a subsequent study performed on patients from seven families with non-syndromic FNMTC failed to detect any mutations in the POT1 gene [99]. Germline mutations in the BRCA-1 associated protein (BAP1) tumor suppressor gene underlie a tumor susceptibility syndrome characterized by increased risk uveal melanoma and melanocytic tumors (i.e., benign and malignant melanocyte-derived tumors) [100]. Family members carrying the germline BAP1 mutation c.1777C>T, which produces a truncated BAP1 protein product, showed early-onset melanocytic neoplasms and other neoplasia, including thyroid cancer [100].

5. Hormonal Players of the Hypothalamic–Pituitary–Thyroid Axis and Melanoma

As described below, different hormonal players of the HPT axis are thought to be involved in melanoma progression (i.e., TRH, TSH, and TH).

5.1. Thyrotropin-Releasing Hormone and Melanoma

Although the pituitary thyrotropin-releasing hormone (TRH) does not enter the systemic circulation, the presence of immunoreactive TRH has been found in melanoma tissues, with its expression thought to be induced by low levels of TH as occurs in the hypothalamus [101,102,103]. Furthermore, it was shown that the expression of TRH was more likely to be present in dysplastic nevi than in normal nevi, and that dysplastic nevi from melanoma patients had a higher TRH expression compared to those of healthy subjects [103]. As illustrated in Figure 1, the hypothesis that locally produced TRH could induce melanoma growth relies on its ability to bind and activate the melanocortin-1 receptor expressed in both melanocytes and melanoma cells [103,104,105]. Indeed, Ellerhorst and colleagues demonstrated a stimulatory effect of low TRH concentrations on melanoma cells proliferation [103]. In this context, it is also worth mentioning the observations reported by Gáspár and colleagues in organ-cultured human hair follicles (HFs) expressing both TRH and its receptor [105]. They showed that TRH stimulated melanin synthesis, transcription and activity of tyrosinase (an enzyme implicated in the synthesis of melanin), melanosome formation, proliferation, and dendricity of isolated HF melanocytes. Altogether, these findings support the potential regulatory role of TRH in melanocyte function and melanoma progression.

5.2. Thyroid-Stimulating Hormone and Melanoma

In view of the increased prevalence of hypothyroidism among melanoma patients, the possibility that elevated levels of thyroid-stimulating hormone (TSH) could promote the growth of melanoma cells was also taken into consideration. Indeed, TSH has been recognized as a tumor promoting factor not only for DTC, but even for other ETM such as ovarian cancer and hepatocellular carcinoma [106]. TSH receptor (TSHR) expression, at both mRNA and protein level, has been documented in skin tissues and different skin cell types including cultured keratinocytes, dermal fibroblasts, epidermal melanocytes, and melanoma cells [102,107,108,109,110]. In particular, Ellerhorst and colleagues detected the TSHR in all cutaneous melanocytic lesions, namely benign nevi, dysplastic nevi, and melanomas [109]. This receptor was proven to be functional, as demonstrated by the ability of TSH to stimulate, in melanoma cells, cAMP formation and the MAPK pathway. In addition, cultured melanoma cells, but not melanocytes, were prompted to proliferate by physiological TSH concentrations (see Figure 1) [109,110]. These results clearly indicate a role for TSH in melanoma progression. However, the above-mentioned Sweden population-based cohort study recorded a decreased risk of melanoma in patients affected by Graves’ disease [11]. A possible explanation for this discrepancy could be that activating TSHR autoantibodies, characterizing Grave’s disease, fail to activate the TSHR expressed on human melanocytes; otherwise, TH excess produced in Grave’s disease patients could have a dominant protective role against melanoma progression, as explained below (see Figure 1).

5.3. Thyroid Hormones and Melanoma

5.3.1. A Brief Overview of Molecular Mechanisms Underlying Thyroid Hormones Action

Thyroid hormones (TH) represent major supervisors of body growth and development and modulate a number of homeostatic cellular functions in adults [111]. The two TH, 3,5,3′,5′-L-tetraiodothyronine (thyroxine, T4) and the 3,5,3′-L-trioiodothyronine (T3), act on target cells in two main modes, genomic and non-genomic, which may partly overlap [111,112].
In the classical genomic action, TH enter target cells through specific plasma membrane transporters (i.e., the monocarboxylate transporters MCT8 and MCT10, the organic anion transporters OATP1 and OATP3, and the L-type amino acid transporter LAT) [113]. Inside the cytoplasm, T4 is deiodinated by the deiodinases 1 (D1) or 2 (D2) to form T3, which binds the TH nuclear receptor (THR) with greater affinity compared to T4 [111]. The THR binds to specific DNA sequences within promoter regions of target genes, known as thyroid responsive elements (TRE), increasing or inhibiting transcription [114,115,116]. Two THR proteins are encoded by separate genes: the THRA, located on chromosome 17, and THRB, located on chromosome 3 [117,118,119]. The THRA gene generates three different transcripts, THRα1, THRα2, and THRα3, of which only the THRα1 is translated in a protein able to bind T3 [120,121]. THRα2 and THRα3 receptors can heterodimerize with THRα1 and are thought to antagonize T3 effects on gene transcription [120,121]. The THRB gene encodes two isoforms, THRβ1 and THRβ2, both of which bind T3 but differ in their tissue distribution [116].
The non-genomic actions of TH arise from the interaction with non-nuclear receptors, either structurally related to THR or not, located in mitochondria, cytoplasm, or plasma membrane. In the latter, T4 and T3 may bind to specific sites of the integrin αvβ3, termed S1 and S2 [112,113,122]. The S1 site binds only T3 and stimulates the phosphatidylinositol 3-kinase (PI3K), while the S2 binds mainly T4 inducing the extracellular signal-regulated kinases (ERK) 1 and 2. Further non-genomic effects identified so far are the regulation of the cytoskeleton, the stimulation of Na,K-ATPase and Ca2+-ATPase activities, and the activation of signal-transducing proteins and nitric oxide synthase (NOS) that ultimately increase cell proliferation [112].

5.3.2. Thyroid Hormones’ Effects on Melanoma Development

At present, information about the effects of TH on normal human melanocyte development is very limited, but the role of TH was explored in zebrafish melanophore development [123,124]. In particular, McMenamin and colleagues reared zebrafish larvae in T4, and observed a melanophore deficiency [123]. This phenotype was similar to the mutant opallusb1071, which was recognized as carrying a missense activating mutation (Asp632 → Tyr) of TSHR. In contrast, the induction of hypothyroidism caused a marked increase in melanophore number in these animals [123]. It is thus clear from this study that TH have antiproliferative and differentiating effects of TH on zebrafish melanophores [123,124]. In line with these experimental observations are those of Di Cicco and colleagues, obtained in patients affected by resistance to TH due to mutations in the THRA gene [125]. These patients are characterized by signs of hypothyroidism and exhibit numerous skin lesions. Histological and molecular analyses of skin nevi from four of them evidenced the expression of keratin 17 and type 3 deiodinase, indicative of unbalanced, increased cellular proliferation versus differentiation, along with a higher expression of molecular markers suggestive of different skin malignancies, including melanoma (Figure 1) [125]. All together, these data appear to fit well with those of Ellerhorst and colleagues, reported above, showing an increased prevalence of hypothyroidism among melanoma patients, as well as with the outcome of a Sweden cohort study on patients receiving levothyroxine therapy [126]. These patients, while displaying a slight but statistically significant increase of the overall cancer risk associated with treatment in both men (adjusted HR 1.06, 95% CI 1.03–1.10) and women (adjusted HR 1.08, 95% CI 1.07–1.10), had a reduced HR for melanoma, particularly men (HR 0.78, 99% CI 0.64–0.96) [126].
A number of pieces of experimental evidence indicate that estrogens may influence cutaneous melanoma growth and progression [127,128,129,130]. In particular, a possible protective role of estrogens against melanoma has been hypothesized following the observation of a higher incidence of melanoma in men than in women, combined with a significant survival advantage in women, and of a lower probability of localized melanomas to form metastases in women than in men [131,132,133,134]. This gain in survival is apparently limited to women under the age of 60, when the estrogen levels decline following menopause [135]. Estrogen action is mediated by three different receptors: the estrogen receptors alpha (ERα) and beta (ERβ), and the G-protein coupled estrogen receptor (GPER) [129]. The GPER level is inversely related to patients’ OS and has been associated with melanoma cells differentiation and inhibition of proliferation, as well as with an increased susceptibility to immune-mediated elimination of malignant cells [130,136]. ERα expression was appreciated at the early tumor stage, and decreased with the increasing tumor thickness, while that of ERβ was detected in all melanocytic lesions and remained unchanged during melanoma progression [129,130]. Interestingly, selective inhibition of ERβ negatively impacted the prometastatic behavior of melanoma cell models. As a consequence, ERβ has been identified as a potential therapeutic target for advanced melanoma [129,130,137]. TH could affect estrogen action in several ways. First, TH may enhance the expression level of both ERs, especially ERα [138,139]. Moreover, the TRE and the ER responsive element (ERE) share an identical half-site, and THRs were shown to bind also to ERE [140]. Finally, through the αvβ3 integrin receptor, TH may activate MAPK signaling and phosphorylation of the nuclear ERα [141]. The ER phosphorylation status affects its ability to interact with chromatin, to recruit coregulators, and to modulate gene expression even in the absence of estrogen [141,142,143].

6. Conclusions

To the best of our knowledge, epidemiological, clinical, and experimental data so far available in the literature strongly suggest a role of TH in the progression of melanoma. However, further studies are needed to fully characterize TH effects at the molecular level in normal and malignant melanocytes. For example, no information is yet available on the expression and functions of the αvβ3 integrin, a plasma membrane TH receptor shown to play a role in other cancer types, in melanomas. A deeper characterization of the TH actions on melanocytic lesions could pave the way for new therapeutic approaches, and possibly for a renewed and personalized clinical management of melanoma patients.

Author Contributions

Conceptualization, S.U., E.B. and S.S.; Pubmed search, S.U. and E.B.; reading, evaluation and selection of the articles, S.U., E.B., D.P., F.G., D.T. (Domenico Tripodi), A.L., S.C., D.T. (Danilo Tarroni), M.D., A.M., F.F. (Flavio Forte), F.F. (Flaminia Frattaroli), S.P., T.O., E.L. and V.D.; writing—original draft preparation, E.B., S.S. and S.U.; writing—review and editing, E.B., S.S., T.O., V.D. and S.U. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The present review article did not require ethical approval.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Prinzi, N.; Sorrenti, S.; Baldini, E.; DE Vito, C.; Tuccilli, C.; Catania, A.; Coccaro, C.; Bianchini, M.; Nesca, A.; Grani, G.; et al. Association of Thyroid Diseases with Primary Extra-Thyroidal Malignancies in Women: Results of a Cross-Sectional Study of 6,386 Patients. PLoS ONE 2015, 10, e0122958. [Google Scholar] [CrossRef] [PubMed]
  2. Prinzi, N.; Baldini, E.; Sorrenti, S.; DE Vito, C.; Tuccilli, C.; Catania, A.; Carbotta, S.; Mocini, R.; Coccaro, C.; Nesca, A.; et al. Prevalence of breast cancer in thyroid diseases: Results of a cross-sectional study of 3,921 patients. Breast Cancer Res. Treat. 2014, 144, 683–688. [Google Scholar] [CrossRef] [PubMed]
  3. Hardefeldt, P.J.; Eslick, G.D.; Edirimanne, S. Benign thyroid disease is associated with breast cancer: A meta-analysis. Breast Cancer Res. Treat. 2012, 133, 1169–1177. [Google Scholar] [CrossRef] [PubMed]
  4. Chen, Y.-K.; Lin, C.-L.; Chang, Y.-J.; Cheng, F.T.-F.; Peng, C.-L.; Sung, F.-C.; Cheng, Y.-H.; Kao, C.-H. Cancer Risk in Patients with Graves’ Disease: A Nationwide Cohort Study. Thyroid 2013, 23, 879–884. [Google Scholar] [CrossRef]
  5. Chen, Y.-K.; Lin, C.-L.; Cheng, F.T.-F.; Sung, F.-C.; Kao, C.-H. Cancer risk in patients with Hashimoto’s thyroiditis: A nationwide cohort study. Br. J. Cancer 2013, 109, 2496–2501. [Google Scholar] [CrossRef] [PubMed]
  6. Bhatti, P.; Veiga, L.H.S.; Ronckers, C.M.; Sigurdson, A.J.; Stovall, M.; Smith, S.A.; Weathers, R.; Leisenring, W.; Mertens, A.C.; Hammond, S.; et al. Risk of Second Primary Thyroid Cancer after Radiotherapy for a Childhood Cancer in a Large Cohort Study: An Update from the Childhood Cancer Survivor Study. Radiat. Res. 2010, 174, 741–752. [Google Scholar] [CrossRef]
  7. Trinh, L.; Crawford, A.; Hussein, M.; Zerfaoui, M.; Toraih, E.; Randolph, G.; Kandil, E. Deciphering the Risk of Developing Second Primary Thyroid Cancer Following a Primary Malignancy—Who Is at the Greatest Risk? Cancers 2021, 13, 1402. [Google Scholar] [CrossRef]
  8. Zhang, Y.; Liang, J.; Li, H.; Cong, H.; Lin, Y. Risk of second primary breast cancer after radioactive iodine treatment in thyroid cancer: A systematic review and meta-analysis. Nucl. Med. Commun. 2016, 37, 110–115. [Google Scholar] [CrossRef]
  9. Mahmood, S.; Vu, K.; Tai, P.; Joseph, K.; Koul, R.; Dubey, A.; Yu, E. Radiation-induced second malignancies. Anticancer Res. 2015, 35, 2431–2434. [Google Scholar]
  10. Shu, X.; Ji, J.; Li, X.; Sundquist, J.; Hemminki, K.; Sundquist, K. Cancer risk in patients hospitalised for Graves’ disease: A population-based cohort study in Sweden. Br. J. Cancer 2010, 102, 1397–1399. [Google Scholar] [CrossRef]
  11. Chen, S.; Wu, F.; Hai, R.; You, Q.; Xie, L.; Shu, L.; Zhou, X. Thyroid disease is associated with an increased risk of breast cancer: A systematic review and meta-analysis. Gland Surg. 2021, 10, 336–346. [Google Scholar] [CrossRef] [PubMed]
  12. Pan, X.-F.; Ma, Y.-J.; Tang, Y.; Yu, M.-M.; Wang, H.; Fan, Y.-R. Breast cancer populations may have an increased prevalence of thyroglobulin antibody and thyroid peroxidase antibody: A systematic review and meta-analysis. Breast Cancer 2020, 27, 828–836. [Google Scholar] [CrossRef] [PubMed]
  13. Ellerhorst, J.; Cooksley, C.; Broemeling, L.; Johnson, M.; Grimm, E. High prevalence of hypothyroidism among patients with cutaneous melanoma. Oncol. Rep. 2003, 10, 1317–1320. [Google Scholar] [CrossRef]
  14. Shah, M.; Orengo, I.F.; Rosen, T. High prevalence of hypothyroidism in male patients with cutaneous melanoma. Dermatol. Online J. 2006, 12, 1. [Google Scholar] [CrossRef] [PubMed]
  15. Lazzara, D.R.; Zarkhin, S.G.; Rubenstein, S.N.; Glick, B.P. Melanoma and Thyroid Carcinoma: Our Current Understanding. J. Clin. Aesthetic Dermatol. 2019, 12, 39–41. [Google Scholar]
  16. Vanderpump, M.P.J. The epidemiology of thyroid disease. Br. Med Bull. 2011, 99, 39–51. [Google Scholar] [CrossRef] [PubMed]
  17. Paschke, R. Molecular pathogenesis of nodular goiter. Langenbecks Arch. Surg. 2011, 396, 1127–1136. [Google Scholar] [CrossRef]
  18. Haugen, B.R.; Alexander, E.K.; Bible, K.C.; Doherty, G.M.; Mandel, S.J.; Nikiforov, Y.E.; Pacini, F.; Randolph, G.W.; Sawka, A.M.; Schlumberger, M.; et al. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid 2016, 26, 1–133. [Google Scholar] [CrossRef]
  19. Baldini, E.; Sorrenti, S.; Tartaglia, F.; Catania, A.; Palmieri, A.; Pironi, D.; Filippini, A.; Ulisse, S. New perspectives in the diagnosis of thyroid follicular lesions. Int. J. Surg. 2017, 41, S7–S12. [Google Scholar] [CrossRef]
  20. Nikiforov, Y.E.; Biddinger, P.W.; Thompson, L.D.R. Diagnostic Pathology and Molecular Genetics of the Thyroid; Wolters Kluwer—Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2009. [Google Scholar]
  21. Ferrari, S.M.; Fallahi, P.; Ruffilli, I.; Elia, G.; Ragusa, F.; Paparo, S.R.; Ulisse, S.; Baldini, E.; Giannini, R.; Miccoli, P.; et al. Molecular testing in the diagnosis of differentiated thyroid carcinomas. Gland Surg. 2018, 7, S19–S29. [Google Scholar] [CrossRef]
  22. Trimboli, P.; Ulisse, S.; Graziano, F.; Marzullo, A.; Ruggieri, M.; Calvanese, A.; Piccirilli, F.; Cavaliere, R.; Fumarola, A.; D’Armiento, M. Trend in Thyroid Carcinoma Size, Age at Diagnosis, and Histology in a Retrospective Study of 500 Cases Diagnosed Over 20 Years. Thyroid 2006, 16, 1151–1155. [Google Scholar] [CrossRef] [PubMed]
  23. Trimboli, P.; Ulisse, S.; Dal, M.; Solari, F.; Fumarola, A.; Ruggieri, M.; De Antoni, E.; Catania, A.; Sorrenti, S.; Nardi, F.; et al. Analysis of clinical, ultrasound and colour flow-Doppler characteristics in predicting malignancy in follicular thyroid neoplasms. Clin. Endocrinol. 2008, 69, 342–344. [Google Scholar] [CrossRef] [PubMed]
  24. Papale, F.; Cafiero, G.; Grimaldi, A.; Marino, G.; Rosso, F.; Mian, C.; Barollo, S.; Pennelli, G.; Sorrenti, S.; De Antoni, E.; et al. Galectin-3 expression in thyroid fine needle cytology (t-FNAC) uncertain cases: Validation of molecular markers and technology innovation. J. Cell. Physiol. 2013, 228, 968–974. [Google Scholar] [CrossRef] [PubMed]
  25. Sorrenti, S.; Trimboli, P.; Catania, A.; Ulisse, S.; De Antoni, E.; D’Armiento, M. Comparison of Malignancy Rate in Thyroid Nodules with Cytology of Indeterminate Follicular or Indeterminate Hürthle Cell Neoplasm. Thyroid 2009, 19, 355–360. [Google Scholar] [CrossRef]
  26. Ulisse, S.; Bosco, D.; Nardi, F.; Nesca, A.; D’Armiento, E.; Guglielmino, V.; DE Vito, C.; Sorrenti, S.; Pironi, D.; Tartaglia, F.; et al. Thyroid Imaging Reporting and Data System Score Combined with the New Italian Classification for Thyroid Cytology Improves the Clinical Management of Indeterminate Nodules. Int. J. Endocrinol. 2017, 2017, 9692304. [Google Scholar] [CrossRef]
  27. Ohori, N.P. Molecular testing and thyroid nodule management in North America. Gland Surg. 2020, 9, 1628–1638. [Google Scholar] [CrossRef]
  28. Fresilli, D.; David, E.; Pacini, P.; Del Gaudio, G.; Dolcetti, V.; Lucarelli, G.; Di Leo, N.; Bellini, M.; D’Andrea, V.; Sorrenti, S.; et al. Thyroid Nodule Characterization: How to Assess the Malignancy Risk. Update of the Literature. Diagnostics 2021, 11, 1374. [Google Scholar] [CrossRef]
  29. Sorrenti, S.; Dolcetti, V.; Fresilli, D.; Del Gaudio, G.; Pacini, P.; Huang, P.; Camponovo, C.; Leoncini, A.; D’Andrea, V.; Pironi, D.; et al. The Role of CEUS in the Evaluation of Thyroid Cancer: From Diagnosis to Local Staging. J. Clin. Med. 2021, 10, 4559. [Google Scholar] [CrossRef]
  30. Medas, F.; Canu, G.L.; Cappellacci, F.; Boi, F.; Lai, M.L.; Erdas, E.; Calò, P.G. Predictive Factors of Lymph Node Metastasis in Patients with Papillary Microcarcinoma of the Thyroid: Retrospective Analysis on 293 Cases. Front. Endocrinol. 2020, 11, 551. [Google Scholar] [CrossRef]
  31. Wang, Y.; Liyanarachchi, S.; Miller, K.E.; Nieminen, T.T.; Comiskey, D.F., Jr.; Li, W.; Brock, P.; Symer, D.E.; Akagi, K.; DeLap, K.E.; et al. Identification of Rare Variants Predisposing to Thyroid Cancer. Thyroid. 2019, 29, 946–955. [Google Scholar] [CrossRef]
  32. Yang, S.P.; Ngeow, J. Familial non-medullary thyroid cancer: Unraveling the genetic maze. Endocr.-Relat. Cancer 2016, 23, R577–R595. [Google Scholar] [CrossRef] [PubMed]
  33. Moses, W.; Weng, J.; Kebebew, E. Prevalence, Clinicopathologic Features, and Somatic Genetic Mutation Profile in Familial Versus Sporadic Nonmedullary Thyroid Cancer. Thyroid 2011, 21, 367–371. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Cancer Genome Atlas Research Network. Integrated Genomic Characterization of Papillary Thyroid Carcinoma. Cell 2014, 159, 676–690. [Google Scholar] [CrossRef] [PubMed]
  35. Yoo, S.-K.; Lee, S.; Kim, S.-J.; Jee, H.-G.; Kim, B.-A.; Cho, H.; Song, Y.S.; Cho, S.W.; Won, J.-K.; Shin, J.-Y.; et al. Comprehensive Analysis of the Transcriptional and Mutational Landscape of Follicular and Papillary Thyroid Cancers. PLoS Genet. 2016, 12, e1006239. [Google Scholar] [CrossRef]
  36. Soares, P.; Lima, J.; Preto, A.; Castro, P.; Vinagre, J.; Celestino, R.; Couto, J.P.; Prazeres, H.; Eloy, C.; Maximo, V.; et al. Genetic Alterations in Poorly Differentiated and Undifferentiated Thyroid Carcinomas. Curr. Genom. 2011, 12, 609–617. [Google Scholar] [CrossRef]
  37. Baldini, E.; Tuccilli, C.; Pironi, D.; Catania, A.; Tartaglia, F.; Di Matteo, F.M.; Palumbo, P.; Arcieri, S.; Mascagni, D.; Palazzini, G.; et al. Expression and Clinical Utility of Transcription Factors Involved in Epithelial–Mesenchymal Transition during Thyroid Cancer Progression. J. Clin. Med. 2021, 10, 4076. [Google Scholar] [CrossRef]
  38. Ulisse, S.; Baldini, E.; Lauro, A.; Pironi, D.; Tripodi, D.; Lori, E.; Ferent, I.C.; Amabile, M.I.; Catania, A.; Di Matteo, F.M.; et al. Papillary Thyroid Cancer Prognosis: An Evolving Field. Cancers 2021, 13, 5567. [Google Scholar] [CrossRef]
  39. Sorrenti, S.; Carbotta, G.; Di Matteo, F.M.; Catania, A.; Pironi, D.; Tartaglia, F.; Tarroni, D.; Gagliardi, F.; Tripodi, D.; Watanabe, M.; et al. Evaluation of Clinicopathological and Molecular Parameters on Disease Recurrence of Papillary Thyroid Cancer Patient: A Retrospective Observational Study. Cancers 2020, 12, 3637. [Google Scholar] [CrossRef]
  40. Ulisse, S.; Baldini, E.; Sorrenti, S.; Barollo, S.; Gnessi, L.; Catania, A.; Pellizzo, M.R.; Nardi, F.; Mian, C.; De Antoni, E.; et al. High Expression of the Urokinase Plasminogen Activator and Its Cognate Receptor Associates with Advanced Stages and Reduced Disease-Free Interval in Papillary Thyroid Carcinoma. J. Clin. Endocrinol. Metab. 2011, 96, 504–508. [Google Scholar] [CrossRef]
  41. Ulisse, S.; Baldini, E.; Sorrenti, S.; Barollo, S.; Prinzi, N.; Catania, A.; Nesca, A.; Gnessi, L.; Pelizzo, M.R.; Mian, C.; et al. In papillary thyroid carcinoma BRAFV600E is associated with increased expression of the urokinase plasminogen activator and its cognate receptor, but not with disease-free interval. Clin. Endocrinol. 2012, 77, 780–786. [Google Scholar] [CrossRef]
  42. Baldini, E.; Tuccilli, C.; Prinzi, N.; Sorrenti, S.; Falvo, L.; DE Vito, C.; Catania, A.; Tartaglia, F.; Mocini, R.; Coccaro, C.; et al. Deregulated Expression of Aurora Kinases Is Not a Prognostic Biomarker in Papillary Thyroid Cancer Patients. PLoS ONE 2015, 10, e0121514. [Google Scholar] [CrossRef] [PubMed]
  43. Medas, F.; Erdas, E.; Canu, G.L.; Longheu, A.; Pisano, G.; Tuveri, M.; Calò, P.G. Does hyperthyroidism worsen prognosis of thyroid carcinoma? A retrospective analysis on 2820 consecutive thyroidectomies. J. Otolaryngol.-Head Neck Surg. 2018, 47, 6. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Ferrari, S.M.; Bocci, G.; Di Desidero, T.; Elia, G.; Ruffilli, I.; Ragusa, F.; Orlandi, P.; Paparo, S.R.; Patrizio, A.; Piaggi, S.; et al. Lenvatinib exhibits antineoplastic activity in anaplastic thyroid cancer in vitro and in vivo. Oncol. Rep. 2018, 39, 2225–2234. [Google Scholar] [CrossRef] [PubMed]
  45. Ferrari, S.M.; Bocci, G.; Di Desidero, T.; Ruffilli, I.; Elia, G.; Ragusa, F.; Fioravanti, A.; Orlandi, P.; Paparo, S.R.; Patrizio, A.; et al. Vandetanib has antineoplastic activity in anaplastic thyroid cancer, in vitro and in vivo. Oncol. Rep. 2018, 39, 2306–2314. [Google Scholar] [CrossRef] [PubMed]
  46. Macerola, E.; Poma, A.M.; Vignali, P.; Proietti, A.; Ugolini, C.; Torregrossa, L.; Basolo, A.; Elisei, R.; Santini, F.; Basolo, F. Predictive Biomarkers in Thyroid Cancer. Front. Oncol. 2022, 12, 901004. [Google Scholar] [CrossRef]
  47. Baldini, E.; Tuccilli, C.; Prinzi, N.; Sorrenti, S.; Antonelli, A.; Gnessi, L.; Morrone, S.; Moretti, C.; Bononi, M.; Arlot-Bonnemains, Y.; et al. Effects of selective inhibitors of Aurora kinases on anaplastic thyroid carcinoma cell lines. Endocr.-Relat. Cancer 2014, 21, 797–811. [Google Scholar] [CrossRef]
  48. Ragusa, F.; Ferrari, S.M.; Elia, G.; Paparo, S.R.; Balestri, E.; Botrini, C.; Patrizio, A.; Mazzi, V.; Guglielmi, G.; Foddis, R.; et al. Combination Strategies Involving Immune Checkpoint Inhibitors and Tyrosine Kinase or BRAF Inhibitors in Aggressive Thyroid Cancer. Int. J. Mol. Sci. 2022, 23, 5731. [Google Scholar] [CrossRef]
  49. Ulisse, S.; Tuccilli, C.; Sorrenti, S.; Antonelli, A.; Fallahi, P.; D’Armiento, E.; Catania, A.; Tartaglia, F.; Amabile, M.I.; Giacomelli, L.; et al. PD-1 Ligand Expression in Epithelial Thyroid Cancers: Potential Clinical Implications. Int. J. Mol. Sci. 2019, 20, 1405. [Google Scholar] [CrossRef]
  50. Tuccilli, C.; Baldini, E.; Sorrenti, S.; Catania, A.; Antonelli, A.; Fallahi, P.; Tartaglia, F.; Barollo, S.; Mian, C.; Palmieri, A.; et al. CTLA-4 and PD-1 Ligand Gene Expression in Epithelial Thyroid Cancers. Int. J. Endocrinol. 2018, 2018, 174295. [Google Scholar] [CrossRef]
  51. Baldini, E.; Presutti, D.; Favoriti, P.; Santini, S.; Papoff, G.; Tuccilli, C.; Carletti, R.; Di Gioia, C.; Lori, E.; Ferent, I.C.; et al. In Vitro and In Vivo Effects of the Urokinase Plasminogen Activator Inhibitor WX-340 on Anaplastic Thyroid Cancer Cell Lines. Int. J. Mol. Sci. 2022, 23, 3724. [Google Scholar] [CrossRef]
  52. Fallahi, P.; Ferrari, S.M.; Santini, F.; Corrado, A.; Materazzi, G.; Ulisse, S.; Miccoli, P.; Antonelli, A. Sorafenib and Thyroid Cancer. BioDrugs 2013, 27, 615–628. [Google Scholar] [CrossRef] [PubMed]
  53. Wu, X.; Hammer, J.A. Melanosome transfer: It is best to give and receive. Curr. Opin. Cell Biol. 2014, 29, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Dimitriou, F.; Krattinger, R.; Ramelyte, E.; Barysch, M.J.; Micaletto, S.; Dummer, R.; Goldinger, S.M. The World of Melanoma: Epidemiologic, Genetic, and Anatomic Differences of Melanoma Across the Globe. Curr. Oncol. Rep. 2018, 20, 87. [Google Scholar] [CrossRef]
  55. Andrews, M.C.; Oba, J.; Wu, C.-J.; Zhu, H.; Karpinets, T.; Creasy, C.A.; Forget, M.-A.; Yu, X.; Song, X.; Mao, X.; et al. Multi-modal molecular programs regulate melanoma cell state. Nat. Commun. 2022, 13, 4000. [Google Scholar] [CrossRef] [PubMed]
  56. Schadendorf, D.; van Akkooi, A.C.J.; Berking, C.; Griewank, K.G.; Gutzmer, R.; Hauschild, A.; Stang, A.; Roesch, A.; Ugurel, S. Melanoma. Lancet 2018, 392, 971–984. [Google Scholar] [CrossRef]
  57. Siegel, R.L.; Miller, K.D.; Fuchs, H.E.; Jemal, A. Cancer Statistics, 2021. CA Cancer J. Clin. 2021, 71, 7–33. [Google Scholar] [CrossRef]
  58. Arnaut, J.R.M.B.; Guimarães, I.D.S.; dos Santos, A.C.E.; Silva, F.D.M.L.D.; Machado, J.R.; de Melo, A.C. Molecular landscape of Hereditary Melanoma. Crit. Rev. Oncol. Hematol. 2021, 164, 103425. [Google Scholar] [CrossRef]
  59. Elder, D.E.; Barnhill, R.I.; Bastian, B.C.; Cook, M.G.; de la Fouchardière, A.; Gerami, P.; Lazar, A.J.; Massi, D.; Migm, M.C., Jr.; Nagore, E.; et al. Melanocytic tumour classification and the pathway concept of melanoma pathogenesis. In WHO Classification of Skin Tumours, 4th ed.; Elder, D.E., Massi, D., Scolyer, R.A., Willemze, R., Eds.; International Agency for Research on Cancer (IARC): Lyon, France, 2018; pp. 66–71. [Google Scholar]
  60. Elder, D.E.; Bastian, B.C.; Cree, I.A.; Massi, D.; Scolyer, R.A. The 2018 World Health Organization Classification of Cutaneous, Mucosal, and Uveal Melanoma: Detailed Analysis of 9 Distinct Subtypes Defined by Their Evolutionary Pathway. Arch. Pathol. Lab. Med. 2020, 144, 500–522. [Google Scholar] [CrossRef]
  61. Yeh, I.; Bastian, B. Melanoma pathology: New approaches and classification*. Br. J. Dermatol. 2021, 185, 282–293. [Google Scholar] [CrossRef]
  62. Ferrara, G.; Argenziano, G. The WHO 2018 Classification of Cutaneous Melanocytic Neoplasms: Suggestions from Routine Practice. Front. Oncol. 2021, 11, 675296. [Google Scholar] [CrossRef]
  63. Garbe, C.; Amaral, T.; Peris, K.; Hauschild, A.; Arenberger, P.; Bastholt, L.; Bataille, V.; del Marmol, V.; Dréno, B.; Fargnoli, M.C.; et al. European consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics—Update 2019. Eur. J. Cancer 2020, 126, 141–158. [Google Scholar] [CrossRef]
  64. Balch, C.M.; Gershenwald, J.E.; Soong, S.-J.; Thompson, J.F.; Atkins, M.B.; Byrd, D.R.; Buzaid, A.C.; Cochran, A.J.; Coit, D.G.; Ding, S.; et al. Final Version of 2009 AJCC Melanoma Staging and Classification. J. Clin. Oncol. 2009, 27, 6199–6206. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Cianfarani, F.; Mastroeni, S.; Odorisio, T.; Passarelli, F.; Cattani, C.; Mannooranparampil, T.J.; Fortes, C.; Failla, C.M. Expression of vascular endothelial growth factor-C in primary cutaneous melanoma predicts sentinel lymph node positivity. J. Cutan. Pathol. 2012, 39, 826–834. [Google Scholar] [CrossRef] [PubMed]
  66. Garbe, C.; Amaral, T.; Peris, K.; Hauschild, A.; Arenberger, P.; Bastholt, L.; Bataille, V.; del Marmol, V.; Dréno, B.; Fargnoli, M.C.; et al. European consensus-based interdisciplinary guideline for melanoma. Part 2: Treatment—Update 2019. Eur. J. Cancer 2020, 126, 159–177. [Google Scholar] [CrossRef] [PubMed]
  67. Eggermont, A.M.M.; Chiarion-Sileni, V.; Grob, J.-J.; Dummer, R.; Wolchok, J.D.; Schmidt, H.; Hamid, O.; Robert, C.; Ascierto, P.A.; Richards, J.M.; et al. Adjuvant ipilimumab versus placebo after complete resection of high-risk stage III melanoma (EORTC 18071): A randomised, double-blind, phase 3 trial. Lancet Oncol. 2015, 16, 522–530. [Google Scholar] [CrossRef]
  68. Weber, J.; Mandalà, M.; Del Vecchio, M.; Gogas, H.J.; Arance, A.M.; Cowey, C.L.; Dalle, S.; Schenker, M.; Chiarion-Sileni, V.; Marquez-Rodas, I.; et al. Adjuvant Nivolumab versus Ipilimumab in Resected Stage III or IV Melanoma. N. Engl. J. Med. 2017, 377, 1824–1835. [Google Scholar] [CrossRef]
  69. Eggermont, A.M.M.; Blank, C.U.; Mandalà, M.; Long, G.V.; Atkinson, V.; Dalle, S.; Haydon, A.; Lichinitser, M.; Khattak, A.; Carlino, M.S.; et al. Adjuvant Pembrolizumab versus Placebo in Resected Stage III Melanoma. N. Engl. J. Med. 2018, 378, 1789–1801. [Google Scholar] [CrossRef]
  70. Eggermont, A.M.M.; Blank, C.U.; Mandalà, M.; Long, G.V.; Atkinson, V.G.; Dalle, S.; Haydon, A.M.; Meshcheryakov, A.; Khattak, A.; Carlino, M.S.; et al. Adjuvant pembrolizumab versus placebo in resected stage III melanoma (EORTC 1325-MG/KEYNOTE-054): Distant metastasis-free survival results from a double-blind, randomised, controlled, phase 3 trial. Lancet Oncol. 2021, 22, 643–654. [Google Scholar] [CrossRef]
  71. Long, G.V.; Hauschild, A.; Santinami, M.; Atkinson, V.; Mandalà, M.; Sileni, V.C.; Larkin, J.; Nyakas, M.; Dutriaux, C.; Haydon, A.; et al. Adjuvant Dabrafenib plus Trametinib in Stage IIIBRAF-Mutated Melanoma. N. Engl. J. Med. 2017, 377, 1813–1823. [Google Scholar] [CrossRef]
  72. Eggermont, A.M.; Chiarion-Sileni, V.; Grob, J.-J.; Dummer, R.; Wolchok, J.D.; Schmidt, H.; Hamid, O.; Robert, C.; Ascierto, P.A.; Richards, J.M.; et al. Prolonged Survival in Stage III Melanoma with Ipilimumab Adjuvant Therapy. N. Engl. J. Med. 2016, 375, 1845–1855. [Google Scholar] [CrossRef]
  73. Ellerhorst, J.A.; Cooksley, C.D.; Grimm, E.A. Autoimmunity and hypothyroidism in patients with uveal melanoma. Melanoma Res. 2001, 11, 633–637. [Google Scholar] [CrossRef]
  74. Ferrari, S.M.; Fallahi, P.; Galetta, F.; Citi, E.; Benvenga, S.; Antonelli, A. Thyroid disorders induced by checkpoint inhibitors. Rev. Endocr. Metab. Disord. 2018, 19, 325–333. [Google Scholar] [CrossRef]
  75. Ferrari, S.M.; Fallahi, P.; Elia, G.; Ragusa, F.; Ruffilli, I.; Patrizio, A.; Galdiero, M.R.; Baldini, E.; Ulisse, S.; Marone, G.; et al. Autoimmune Endocrine Dysfunctions Associated with Cancer Immunotherapies. Int. J. Mol. Sci. 2019, 20, 2560. [Google Scholar] [CrossRef]
  76. Killock, D. ICI for resected stage IV melanoma. Nat. Rev. Clin. Oncol. 2020, 17, 450. [Google Scholar] [CrossRef]
  77. Herrscher, H.; Robert, C. Immune checkpoint inhibitors in melanoma in the metastatic, neoadjuvant, and adjuvant setting. Curr. Opin. Oncol. 2020, 32, 106–113. [Google Scholar] [CrossRef]
  78. Dawidowska, A.; Jagodzinska-Mucha, P.; Koseła-Paterczyk, H.; Jaczewska, S.; Sobczuk, P.; Chelstowska, M.; Kowalska, M.; Badziak-Sterczewska, H.; Poleszczuk, J.; Rutkowski, P.; et al. Immune-Related Thyroid Adverse Events Predict Response to PD-1 Blockade in Patients with Melanoma. Cancers 2022, 14, 1248. [Google Scholar] [CrossRef]
  79. Bertrand, A.; Kostine, M.; Barnetche, T.; Truchetet, M.-E.; Schaeverbeke, T. Immune related adverse events associated with anti-CTLA-4 antibodies: Systematic review and meta-analysis. BMC Med. 2015, 13, 211. [Google Scholar] [CrossRef]
  80. 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, 23–34. [Google Scholar] [CrossRef]
  81. Almutairi, A.R.; McBride, A.; Slack, M.; Erstad, B.L.; Abraham, I. Potential Immune-Related Adverse Events Associated with Monotherapy and Combination Therapy of Ipilimumab, Nivolumab, and Pembrolizumab for Advanced Melanoma: A Systematic Review and Meta-Analysis. Front. Oncol. 2020, 10, 91. [Google Scholar] [CrossRef]
  82. Rogado, J.; Sánchez-Torres, J.; Romero-Laorden, N.; Ballesteros, A.; Pacheco-Barcia, V.; Ramos-Leví, A.; Arranz, R.; Lorenzo, A.; Gullón, P.; Donnay, O.; et al. Immune-related adverse events predict the therapeutic efficacy of anti–PD-1 antibodies in cancer patients. Eur. J. Cancer 2019, 109, 21–27. [Google Scholar] [CrossRef]
  83. Bilen, M.A.; Patel, A.; Hess, K.R.; Munoz, J.; Busaidy, N.L.; Wheler, J.J.; Janku, F.; Falchook, G.S.; Hong, D.S.; Meric-Bernstam, F.; et al. Association between new-onset hypothyroidism and clinical response in patients treated with tyrosine kinase inhibitor therapy in phase I clinical trials. Cancer Chemother. Pharmacol. 2016, 78, 167–171. [Google Scholar] [CrossRef] [PubMed]
  84. Oakley, G.M.; Curtin, K.; Layfield, L.; Jarboe, E.; Buchmann, L.O.; Hunt, J.P. Increased Melanoma Risk in Individuals with Papillary Thyroid Carcinoma. JAMA Otolaryngol. Head Neck Surg. 2014, 140, 423–427. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Kim, Y.J.; Lee, M.; Kim, E.H.; Jung, I.; Lee, C.S. Coexisting and Second Primary Cancers in Patients with Uveal Melanoma: A 10-Year Nationwide Database Analysis. J. Clin. Med. 2021, 10, 4744. [Google Scholar] [CrossRef] [PubMed]
  86. Schonfeld, S.J.; Morton, L.M.; de González, A.B.; Curtis, R.E.; Kitahara, C.M. Risk of second primary papillary thyroid cancer among adult cancer survivors in the United States, 2000–2015. Cancer Epidemiol. 2019, 64, 101664. [Google Scholar] [CrossRef]
  87. Kim, C.Y.; Lee, S.H.; Oh, C.W. Cutaneous Malignant Melanoma Associated with Papillary Thyroid Cancer. Ann. Dermatol. 2010, 22, 370–372. [Google Scholar] [CrossRef]
  88. Kolaii, S.S.T.J.; Dehghanian, A.R.; Jeddi, M. Concomitant uveal melanoma and papillary thyroid carcinoma: A case report. J. Med Case Rep. 2022, 16, 29. [Google Scholar] [CrossRef]
  89. Zerfaoui, M.; Dokunmu, T.; Toraih, E.; Rezk, B.; Elmageed, Z.A.; Kandil, E. New Insights into the Link between Melanoma and Thyroid Cancer: Role of Nucleocytoplasmic Trafficking. Cells 2021, 10, 367. [Google Scholar] [CrossRef]
  90. Papanikolaou, M.; Chohan, T.; Millington, G.W.M. Malignant melanoma, papillary thyroid carcinoma and Erdheim–Chester disease, associated with both BRAF V600E and mosaic Turner syndrome. Clin. Exp. Dermatol. 2020, 45, 512–514. [Google Scholar] [CrossRef]
  91. Tavares, C.; Melo, M.; Cameselle-Teijeiro, J.M.; Soares, P.; Sobrinho-Simões, M. ENDOCRINE TUMOURS: Genetic predictors of thyroid cancer outcome. Eur. J. Endocrinol. 2016, 174, R117–R126. [Google Scholar] [CrossRef]
  92. Cicenas, J.; Tamosaitis, L.; Kvederaviciute, K.; Tarvydas, R.; Staniute, G.; Kalyan, K.; Meskinyte-Kausiliene, E.; Stankevicius, V.; Valius, M. KRAS, NRAS and BRAF mutations in colorectal cancer and melanoma. Med Oncol. 2017, 34, 26. [Google Scholar] [CrossRef]
  93. Greenspan, F.S. The thyroid gland. In Basic & Clinical Endocrinology, 7th ed.; Greenspan, F.S., Gardner, D.G., Eds.; Lange Medical Books/McGraw-Hill: New York, NY, USA, 2004; pp. 215–294. [Google Scholar]
  94. Tan, M.-H.; Mester, J.L.; Ngeow, J.; Rybicki, L.A.; Orloff, M.S.; Eng, C. Lifetime Cancer Risks in Individuals with Germline PTEN Mutations. Clin. Cancer Res. 2012, 18, 400–407. [Google Scholar] [CrossRef]
  95. Robles- Espinoza, C.D.; Harland, M.; Ramsay, A.J.; Aoude, L.G.; Quesada, V.; Ding, Z.; Pooley, K.A.; Pritchard, A.L.; Tiffen, J.C.; Petljak, M.; et al. POT1 loss-of-function variants predispose to familial melanoma. Nat. Genet. 2014, 46, 478–481. [Google Scholar] [CrossRef] [Green Version]
  96. Potrony, M.; Puig-Butille, J.; Ribera-Sola, M.; Iyer, V.; Robles-Espinoza, C.; Aguilera, P.; Carrera, C.; Malvehy, J.; Badenas, C.; Landi, M.; et al. POT 1 germline mutations but not TERT promoter mutations are implicated in melanoma susceptibility in a large cohort of Spanish melanoma families. Br. J. Dermatol. 2018, 181, 105–113. [Google Scholar] [CrossRef]
  97. Wong, K.; Robles-Espinoza, C.D.; Rodriguez, D.; Rudat, S.S.; Puig, S.; Potrony, M.; Wong, C.C.; Hewinson, J.; Aguilera, P.; Puig-Butille, J.A.; et al. Association of the POT1 Germline Missense Variant p.I78T With Familial Melanoma. JAMA Dermatol. 2019, 155, 604–609. [Google Scholar] [CrossRef]
  98. Srivastava, A.; Miao, B.; Skopelitou, D.; Kumar, V.; Kumar, A.; Paramasivam, N.; Bonora, E.; Hemminki, K.; Försti, A.; Bandapalli, O.R. A Germline Mutation in the POT1 Gene Is a Candidate for Familial Non-Medullary Thyroid Cancer. Cancers 2020, 12, 1441. [Google Scholar] [CrossRef]
  99. Orois, A.; Badenas, C.; Reverter, J.L.; López, V.; Potrony, M.; Mora, M.; Halperin, I.; Oriola, J. Lack of Mutations in POT1 Gene in Selected Families with Familial Non-Medullary Thyroid Cancer. Horm. Cancer 2020, 11, 111–116. [Google Scholar] [CrossRef]
  100. McDonnell, K.J.; Gallanis, G.T.; Heller, K.A.; Melas, M.; Idos, G.E.; Culver, J.O.; Martin, S.-E.; Peng, D.H.; Gruber, S.B. A novel BAP1 mutation is associated with melanocytic neoplasms and thyroid cancer. Cancer Genet. 2015, 209, 75–81. [Google Scholar] [CrossRef]
  101. Wilber, J.F.; Spinella, P. Identification of Immunoreactive Thyrotropin-Releasing Hormone in Human Neoplasia. J. Clin. Endocrinol. Metab. 1984, 59, 432–435. [Google Scholar] [CrossRef]
  102. Slominski, A.; Pisarchik, A.; Wortsman, J.; Kohn, L.; Ain, K.B.; Venkataraman, G.M.; Chung, J.H.; Giuliani, C.; Thornton, M.; Slugocki, G.; et al. Expression of Hypothalamic–Pituitary–Thyroid Axis RelatedGenes in the Human Skin. J. Investig. Dermatol. 2002, 119, 1449–1455. [Google Scholar] [CrossRef]
  103. Ellerhorst, J.A.; Naderi, A.A.; Johnson, M.K.; Pelletier, P.; Prieto, V.G.; Diwan, A.H.; Johnson, M.M.; Gunn, D.C.; Yekell, S.; Grimm, E.A. Expression of Thyrotropin-Releasing Hormone by Human Melanoma and Nevi. Clin. Cancer Res. 2004, 10, 5531–5536. [Google Scholar] [CrossRef]
  104. Schiöth, H.B.; Prusis, P.; Muceniece, R.; Mutulis, F.; Mutule, I.; Wikberg, J.E. Thyrotropin releasing hormone (TRH) selectively binds and activates the melanocortin 1 receptor. Peptides 1999, 20, 395–400. [Google Scholar] [CrossRef]
  105. Gáspár, E.; Nguyen-Thi, K.T.; Hardenbicker, C.; Tiede, S.; Plate, C.; Bodó, E.; Knuever, J.; Funk, W.; Bíró, T.; Paus, R. Thyrotropin-Releasing Hormone Selectively Stimulates Human Hair Follicle Pigmentation. J. Investig. Dermatol. 2011, 131, 2368–2377. [Google Scholar] [CrossRef] [Green Version]
  106. Chu, Y.-D.; Yeh, C.-T. The Molecular Function and Clinical Role of Thyroid Stimulating Hormone Receptor in Cancer Cells. Cells 2020, 9, 1730. [Google Scholar] [CrossRef]
  107. Cianfarani, F.; Baldini, E.; Cavalli, A.; Marchioni, E.; Lembo, L.; Teson, M.; Persechino, S.; Zambruno, G.; Ulisse, S.; Odorisio, T.; et al. TSH Receptor and Thyroid-Specific Gene Expression in Human Skin. J. Investig. Dermatol. 2010, 130, 93–101. [Google Scholar] [CrossRef]
  108. Bodó, E.; Kromminga, A.; Bíró, T.; Borbíró, I.; Gáspár, E.; Zmijewski, M.A.; van Beek, N.; Langbein, L.; Slominski, A.T.; Paus, R. Human Female Hair Follicles Are a Direct, Nonclassical Target for Thyroid-Stimulating Hormone. J. Investig. Dermatol. 2009, 129, 1126–1139. [Google Scholar] [CrossRef]
  109. Ellerhorst, J.A.; Sendi-Naderi, A.; Johnson, M.K.; Cooke, C.P.; Dang, S.M.; Diwan, A.H. Human melanoma cells express functional receptors for thyroid-stimulating hormone. Endocr.-Relat. Cancer 2006, 13, 1269–1277. [Google Scholar] [CrossRef]
  110. Ursu, H.I. Functional TSH Receptors, Malignant Melanomas and Subclinical Hypothyroidism. Eur. Thyroid J. 2012, 1, 208. [Google Scholar] [CrossRef]
  111. Cheng, S.-Y.; Leonard, J.L.; Davis, P.J. Molecular Aspects of Thyroid Hormone Actions. Endocr. Rev. 2010, 31, 139–170. [Google Scholar] [CrossRef]
  112. Davis, P.J.; Goglia, F.; Leonard, J.L. Nongenomic actions of thyroid hormone. Nat. Rev. Endocrinol. 2015, 12, 111–121. [Google Scholar] [CrossRef]
  113. Visser, T.J. Thyroid Hormone Transporters and Resistance. Endocr. Dev. 2013, 24, 1–10. [Google Scholar] [CrossRef]
  114. Chin, W.W. Nuclear thyroid hormone receptors. In Nuclear Hormone Receptor; Parker, M.G., Ed.; Academic Press: London, UK, 1991; pp. 79–102. [Google Scholar]
  115. Ortiga-Carvalho, T.M.; Sidhaye, A.R.; Wondisford, F.E. Thyroid hormone receptors and resistance to thyroid hormone disorders. Nat. Rev. Endocrinol. 2014, 10, 582–591. [Google Scholar] [CrossRef]
  116. Lazar, M.A.; Chin, W.W. Nuclear thyroid hormone receptors. J. Clin. Investig. 1990, 86, 1777–1782. [Google Scholar] [CrossRef] [Green Version]
  117. Sap, J.; Munoz, A.; Damm, K.; Goldberg, Y.; Ghysdael, J.; Leutz, A.; Beug, H.; Vennström, B. The c-erb-A protein is a high-affinity receptor for thyroid hormone. Nature 1986, 324, 635–640. [Google Scholar] [CrossRef]
  118. Weinberger, C.; Thompson, C.C.; Ong, E.S.; Lebo, R.; Gruol, D.J.; Evans, R.M. The c-erb-A gene encodes a thyroid hormone receptor. Nature 1986, 324, 641–646. [Google Scholar] [CrossRef]
  119. Chassande, O.; Fraichard, A.; Gauthier, K.; Flamant, F.; Legrand, C.; Savatier, P.; Laudet, V.; Samarut, J. Identification of Transcripts Initiated from an Internal Promoter in the c-erbAα Locus That Encode Inhibitors of Retinoic Acid Receptor-α and Triiodothyronine Receptor Activities. Mol. Endocrinol. 1997, 11, 1278–1290. [Google Scholar] [CrossRef]
  120. Gauthier, K.; Chassande, O.; Plateroti, M.; Roux, J.-P.; Legrand, C.; Pain, B.; Rousset, B.; Weiss, R.; Trouillas, J.; Samarut, J. Different functions for the thyroid hormone receptors TRalpha and TRbeta in the control of thyroid hormone production and post-natal development. EMBO J. 1999, 18, 623–631. [Google Scholar] [CrossRef]
  121. Lin, H.; Chin, Y.; Yang, Y.S.H.; Lai, H.; Whang-Peng, J.; Liu, L.F.; Tang, H.; Davis, P.J. Thyroid Hormone, Cancer, and Apoptosis. Compr. Physiol. 2011, 6, 1221–1237. [Google Scholar] [CrossRef]
  122. Lin, H.-Y.; Sun, M.; Tang, H.-Y.; Lin, C.; Luidens, M.K.; Mousa, S.A.; Incerpi, S.; Drusano, G.L.; Davis, F.B.; Davis, P.J. l-Thyroxine vs. 3,5,3′-triiodo-l-thyronine and cell proliferation: Activation of mitogen-activated protein kinase and phosphatidylinositol 3-kinase. Am. J. Physiol. Cell Physiol. 2009, 296, C980–C991. [Google Scholar] [CrossRef]
  123. McMenamin, S.K.; Bain, E.J.; McCann, A.E.; Patterson, L.B.; Eom, D.S.; Waller, Z.P.; Hamill, J.C.; Kuhlman, J.A.; Eisen, J.S.; Parichy, D.M. Thyroid hormone–dependent adult pigment cell lineage and pattern in zebrafish. Science 2014, 345, 1358–1361. [Google Scholar] [CrossRef]
  124. Guillot, R.; Muriach, B.; Rocha, A.; Rotllant, J.; Kelsh, R.; Cerdá-Reverter, J.M. Thyroid Hormones Regulate Zebrafish Melanogenesis in a Gender-Specific Manner. PLoS ONE 2016, 11, e0166152. [Google Scholar] [CrossRef]
  125. Di Cicco, E.; Moran, C.; Visser, W.E.; Nappi, A.; Schoenmakers, E.; Todd, P.; Lyons, M.G.; Dattani, M.; Ambrosio, R.; Parisi, S.; et al. Germ Line Mutations in the Thyroid Hormone Receptor Alpha Gene Predispose to Cutaneous Tags and Melanocytic Nevi. Thyroid 2021, 31, 1114–1126. [Google Scholar] [CrossRef] [PubMed]
  126. Wändell, P.; Carlsson, A.C.; Li, X.; Sundquist, J.; Sundquist, K. Levothyroxine treatment is associated with an increased relative risk of overall and organ specific incident cancers—A cohort study of the Swedish population. Cancer Epidemiol. 2020, 66, 101707. [Google Scholar] [CrossRef] [PubMed]
  127. Gupta, S.; Artomov, M.; Goggins, W.B.; Daly, M.J.; Tsao, H. Gender Disparity and Mutation Burden in Metastatic Melanoma. JNCI J. Natl. Cancer Inst. 2015, 107, djv221. [Google Scholar] [CrossRef] [PubMed]
  128. Janick, M.E.; Belkot, K.; Przybylo, M. Is oestrogen an important player in melanoma progression? Contemp. Oncol. 2014, 18, 302–306. [Google Scholar] [CrossRef] [PubMed]
  129. Di Donato, M.; Migliaccio, A.; Castoria, G. Targeting ERβ to fight melanoma: A new valid approach? J. Transl. Med. 2022, 20, 156. [Google Scholar] [CrossRef]
  130. Bechmann, N.; Calsina, B.; Richter, S.; Pietzsch, J. Therapeutic Potential of Nitric Oxide—Releasing Selective Estrogen Receptor Modulators in Malignant Melanoma. J. Investig. Dermatol. 2022, 142, 2217–2227. [Google Scholar] [CrossRef]
  131. Joosse, A.; Collette, S.; Suciu, S.; Nijsten, T.; Patel, P.M.; Keilholz, U.; Eggermont, A.M.; Coebergh, J.W.W.; de Vries, E. Sex Is an Independent Prognostic Indicator for Survival and Relapse/Progression-Free Survival in Metastasized Stage III to IV Melanoma: A Pooled Analysis of Five European Organisation for Research and Treatment of Cancer Randomized Controlled Trials. J. Clin. Oncol. 2013, 31, 2337–2346. [Google Scholar] [CrossRef]
  132. Morgese, F.; Sampaolesi, C.; Torniai, M.; Conti, A.; Ranallo, N.; Giacchetti, A.; Serresi, S.; Onofri, A.; Burattini, M.; Ricotti, G.; et al. Gender Differences and Outcomes in Melanoma Patients. Oncol. Ther. 2020, 8, 103–114. [Google Scholar] [CrossRef]
  133. Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics, 2019. CA Cancer J. Clin. 2019, 69, 7–34. [Google Scholar] [CrossRef]
  134. Joosse, A.; de Vries, E.; Eckel, R.; Nijsten, T.; Eggermont, A.M.; Hölzel, D.; Coebergh, J.W.W.; Engel, J.; Munich Melanoma Group. Gender Differences in Melanoma Survival: Female Patients Have a Decreased Risk of Metastasis. J. Investig. Dermatol. 2011, 131, 719–726. [Google Scholar] [CrossRef]
  135. Mervic, L.; Leiter, U.; Meier, F.; Eigentler, T.; Forschner, A.; Metzler, G.; Bartenjev, I.; Büttner, P.; Garbe, C. Sex differences in survival of cutaneous melanoma are age dependent: An analysis of 7338 patients. Melanoma Res. 2011, 21, 244–252. [Google Scholar] [CrossRef] [PubMed]
  136. Maggiolini, M.; Picard, D. The unfolding stories of GPR30, a new membrane-bound estrogen receptor. J. Endocrinol. 2010, 204, 105–114. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  137. Warner, M.; Huang, B.; Gustafsson, J.-A. Estrogen Receptor β as a Pharmaceutical Target. Trends Pharmacol. Sci. 2017, 38, 92–99. [Google Scholar] [CrossRef] [PubMed]
  138. Ulisse, S.; Tata, J.R. Thyroid hormone and glucocorticoid independently regulate the expression of estrogen receptor in male Xenopus liver cells. Mol. Cell. Endocrinol. 1994, 105, 45–53. [Google Scholar] [CrossRef]
  139. Alarid, E.T.; Preisler-Mashek, M.T.; Solodin, N.M. Thyroid Hormone Is an Inhibitor of Estrogen-Induced Degradation of Estrogen Receptor-α Protein: Estrogen-Dependent Proteolysis Is Not Essential for Receptor Transactivation Function in the Pituitary. Endocrinology 2003, 144, 3469–3476. [Google Scholar] [CrossRef]
  140. Glass, C.K.; Holloway, J.M. Regulation of gene expression by the thyroid hormone receptor. Biochim. Biophys. Acta 1990, 1032, 157–176. [Google Scholar] [CrossRef]
  141. Tang, H.-Y.; Lin, H.-Y.; Zhang, S.; Davis, F.B.; Davis, P.J. Thyroid Hormone Causes Mitogen-Activated Protein Kinase-Dependent Phosphorylation of the Nuclear Estrogen Receptor. Endocrinology 2004, 145, 3265–3272. [Google Scholar] [CrossRef]
  142. Hercbergs, A.; Mousa, S.A.; Leinung, M.; Lin, H.-Y.; Davis, P.J. Thyroid Hormone in the Clinic and Breast Cancer. Horm. Cancer 2018, 9, 139–143. [Google Scholar] [CrossRef]
  143. Hammes, S.R.; Davis, P.J. Overlapping nongenomic and genomic actions of thyroid hormone and steroids. Best Pr. Res. Clin. Endocrinol. Metab. 2015, 29, 581–593. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Schematic representation of the action of the different hormonal players of the hypothalamic–pituitary–thyroid axis on melanoma cells. TRH, thyrotropin-releasing hormone; TSH, thyroid stimulating hormone; TSHRAb, TSHR autoantibodies; TH, thyroid hormones. See description in the text.
Figure 1. Schematic representation of the action of the different hormonal players of the hypothalamic–pituitary–thyroid axis on melanoma cells. TRH, thyrotropin-releasing hormone; TSH, thyroid stimulating hormone; TSHRAb, TSHR autoantibodies; TH, thyroid hormones. See description in the text.
Ijms 23 10036 g001
Table 1. Melanoma classification according to the associate cumulative sun damage (CSD) that relates with lesion’s molecular alterations. See explanation in the text. Adapted from reference [59] with permission.
Table 1. Melanoma classification according to the associate cumulative sun damage (CSD) that relates with lesion’s molecular alterations. See explanation in the text. Adapted from reference [59] with permission.
Melanoma Classification
Melanoma arising in
sun-exposed skin.
1.  Low-CSD melanoma/superficial spreading melanoma
2.  High-CSD melanoma/lentigo maligna melanoma
3.  Desmoplastic melanoma
Melanoma arising at
sun-shielded sites or without known etiological association with UV radiation exposure.
4.  Malignant Spitz tumor (Spitz melanoma)
5.  Acral melanoma
6.  Mucosal melanoma
7.  Melanoma arising in congenital naevus
8.  Melanoma arising in blue naevus
9.  Uveal melanoma
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Ulisse, S.; Baldini, E.; Pironi, D.; Gagliardi, F.; Tripodi, D.; Lauro, A.; Carbotta, S.; Tarroni, D.; D’Armiento, M.; Morrone, A.; et al. Is Melanoma Progression Affected by Thyroid Diseases? Int. J. Mol. Sci. 2022, 23, 10036. https://doi.org/10.3390/ijms231710036

AMA Style

Ulisse S, Baldini E, Pironi D, Gagliardi F, Tripodi D, Lauro A, Carbotta S, Tarroni D, D’Armiento M, Morrone A, et al. Is Melanoma Progression Affected by Thyroid Diseases? International Journal of Molecular Sciences. 2022; 23(17):10036. https://doi.org/10.3390/ijms231710036

Chicago/Turabian Style

Ulisse, Salvatore, Enke Baldini, Daniele Pironi, Federica Gagliardi, Domenico Tripodi, Augusto Lauro, Sabino Carbotta, Danilo Tarroni, Matteo D’Armiento, Aldo Morrone, and et al. 2022. "Is Melanoma Progression Affected by Thyroid Diseases?" International Journal of Molecular Sciences 23, no. 17: 10036. https://doi.org/10.3390/ijms231710036

APA Style

Ulisse, S., Baldini, E., Pironi, D., Gagliardi, F., Tripodi, D., Lauro, A., Carbotta, S., Tarroni, D., D’Armiento, M., Morrone, A., Forte, F., Frattaroli, F., Persechino, S., Odorisio, T., D’Andrea, V., Lori, E., & Sorrenti, S. (2022). Is Melanoma Progression Affected by Thyroid Diseases? International Journal of Molecular Sciences, 23(17), 10036. https://doi.org/10.3390/ijms231710036

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