Journal of Skin Cancer

Volume 2012 (2012), Article ID 914267, 7 pages

doi:10.1155/2012/914267

Review Article

Diagnostic Role of Chromosomal Instability in Melanoma

Nitika Dabas, Diana M. Byrnes, Ashley M. Rosa, Mark S. Eller, and James M. Grichnik

Department of Dermatology, Anna Fund Melanoma Program, Sylvester Comprehensive Cancer Center and Interdisciplinary Stem Cell Institute, Miller School of Medicine, University of Miami, Room 912, 1501 NW 10th Avenue, Miami, FL 33136-1012, USA

Received 29 June 2012; Revised 20 September 2012; Accepted 21 September 2012

Academic Editor: Lionel Larue

Copyright © 2012 Nitika Dabas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Early diagnosis gives melanoma patients the best chance for long term survival. However discrimination of an early melanoma from an unusual/atypical benign nevus can represent a significant challenge. There are no current pathological markers to definitively define malignant potential in these indeterminate lesions. Thus, there is a need for improved diagnostic tools. Chromosomal instability (CIN) is a hallmark of cancer and is markedly prevalent in melanoma. Advances in genomics have opened the door for the development of molecular tools to better segregate benign and malignant lesions. This paper focuses on CIN in melanoma and the role of current diagnostic approaches.

1. Introduction

The discrimination of an early melanoma from an atypical/unusual benign nevus represents a significant pathological challenge and may result in a misdiagnosis [1–5]. When analyzing ambiguous melanocytic lesions with standard histological and immunohistochemical procedures there is high variability among expert dermatopathologists [1–5]. Due to increases in malpractice suits and looming legal woes, there is significant pressure on physicians to not miss a melanoma. This pressure may lead to melanoma overdiagnosis, increased medical costs, unnecessary surgeries and therapies, and psychological stress for patients [1–7]. Just as overdiagnosis causes problems, underdiagnosis creates the obvious issue of leaving an aggressive cancer untreated. Thus, there is dire need for improved diagnostic methods and capabilities in differentiating benign nevi from melanoma to avoid these problems. Studies have revealed that in contrast to benign nevi, melanomas demonstrate extensive chromosomal instability (CIN) suggesting a potential role in malignant discrimination [8]. These findings have led to work by many groups to characterize malignant cells by the degree of CIN and to the development of techniques to quantitatively and qualitatively measure CIN. Challenges remain and with continued advances in genomics, the field will continue to evolve. Herein, we review the current findings on CIN in melanoma and the role of CIN in diagnostic approaches.

2. What Role Does CIN Play in Oncogenesis?

Genomic instability is a hallmark of cancer [9–12]. One specific form of genomic instability is chromosomal instability (CIN). CIN is defined as an increased rate of chromosomal missegregation leading to aneuploidy. While aneuploidy is frequent in cancer, it is also important to point out that it can also occur in benign tissues [13, 14]. While many mechanisms for CIN have been proposed, a full understanding of the processes driving these events and their role in normal and malignant tissue function have yet to be fully elucidated [9–12, 14].

CIN has bidirectional effects on cell growth. While some chromosomal rearrangements are detrimental to cells, leading to their death, others can be advantageous due to deregulation of gene expression, amplification of oncogenes, and deletion of tumor suppressor genes [9]. Studies have shown that the amount of CIN present in a cell is a significant determinant of whether it causes cancer progression or inhibition of growth. While a moderate amount of CIN is sufficient to cause tumorogenesis, large amounts of CIN are lethal to cancer growth [9]. Thus it is likely that tumor cells need sufficient CIN to overcome genetic checkpoints and allow continued evolution but not so much as to damage critical survival pathways [9].

3. What is CIN’s Role in Melanoma?

Studies by Bastian et al. utilized comparative genomic hybridization (CGH) to study chromosomal aberrations in melanoma [8]. CGH uses DNA extracted from the tumor and hybridizes it to a DNA array allowing for detection and fine mapping of amplifications/deletions of genomic DNA segments [15]. CGH revealed that 96% of melanomas exhibited chromosomal aberrations [8]. While it may be inferred that large numbers of chromosomal aberrations are due to ongoing CIN, at a single assay time point it is not possible to define ongoing instability versus a prior event being carried forward in a stable manner. However in melanoma, studies have been conducted to prove that aneuploidy is due to an ongoing CIN process. Studies following melanoma metastases longitudinally suggest that CIN is an ongoing process within each metastasis and that the underlying tumorigenic cell may be more genomically stable than the bulk of the progeny expanding at the metastatic site [16–18]. Genomic aberrations have also been noted in the in situ components of tumors suggesting that CIN occurs early in tumorogenesis [19]. Higher variability of genomic aberrations have been noted in metastatic compared to nonmetastatic thin primary tumors suggesting a potential role of CIN in tumor progression [20]. Melanoma also exhibits ongoing CIN in the culture environment (Figure 1). Together these findings suggest CIN plays a critical role in the evolution and progression of melanoma.

Figure 1: Chromosomal abnormalities are prevalent in melanoma. Shown are pairs of representative karyotypes from 3 melanoma lines, DM1N, DM2N, and DM3N revealing heterogeneity between cells within the culture and overall increases (D1 and D3) and decreases in the total number of chromosomes (D2). Single cell clones from these lines will also expand in culture giving rise to cells with different karyotypes (data not shown) suggesting ongoing CIN.

4. Is There CIN in Benign Neoplasms?

Studies on benign nevi reproducibly demonstrate a lack of significant chromosomal changes with the exception of one type, a nevus called a Spitz nevus [8]. Spitz nevi histologically may be mistaken for melanoma but they are benign lesions. In Bastian’s study, 6 of 27 Spitz nevi exhibited amplifications of the entire short arm of chromosome 11, and 1 of 27 Spitz nevi revealed an isolated gain of distal chromosome 7 [8]. The 11p changes amplify DNA that includes the HRAS gene, which has also been found to be specifically mutated in Spitz nevi [21]. The aberrations noted on 11p in Spitz nevi may represent an initiating event that is propagated as the tumor grows. It is possible, unlike melanoma, that there is not significant ongoing instability in these lesions. It is important to point out that others have noted other cytogenetic abnormalities in Spitz nevi [22] so ongoing CIN cannot be fully ruled out. Thus, while the current data suggests CIN does not play a role in the majority of nevi, chromosomal aberrations do occur in benign lesions and indicate a need to be cautious when interpreting chromosomal changes in melanocytic lesions.

5. Is CIN Variable Depending on the Type of Melanoma?

Melanoma includes a spectrum of malignant neoplasms including superficial spreading melanoma (SSM) (included with nonchronic sun exposed), lentigo maligna melanoma (LMM) (included with chronic sun exposure), acral lentiginous melanoma (ALM), and mucosal melanoma. Studies utilizing CGH have noted marked abnormalities of chromosomes in melanoma (Table 1) [8, 23, 24]. The most frequently gained regions in melanoma were 1q, 6p, 7p, 7q, 8q, 17q, and 20q while the most frequent losses were seen at 6q, 9p, 9q, 10p, 10q, and 11q [8]. Interestingly, some chromosomal aberrations and the extent of aberrations appear to differ among melanoma subtypes [23] suggesting differences in CIN pathways.

Table 1: Common chromosomal aberrations found in specific melanoma subtypes [8, 23, 24].

Subtype of melanoma
Common chromosomal aberrations
Statistically significant chromosomal aberrations

Gains
Losses
Gains
Losses

Superficial spreading, nonchronic sun exposure
6p, 7, 8q, 17q, 20q [23]
10q22.1, 10pter [8], 9p, 10q, 21q [23]

10q* [23]

Lentigo maligna, chronic sun exposure
17pter, 15q21.1, 15q15 [8], 6p, 11q13, 17q, 20q [23], 4q12 [24]
13q21.1, 17qter, 17pter [8], 6q, 8p, 9p, 13, 21q [23]

Acral
12q14, 5pter, 11q13, 4q11 [8], 6p, 7, 8q, 17q, 20q, 5p15, 5p13, 11q13, 12q14 [23], 4q12 [24]
15q13, 16q24, 16q23.1 [8], 6q, 9p, 10q, 11q, 21q [23]
12q14, 5pter [8], 69, 11q13 [23]
10q* [23]

Mucosal
1q, 6p, 7, 8q, 11q13, 17q, 20q, 1q31, 4q12, 12q14 [23], 4q12 [24]
3q, 4q, 6q, 8p, 9p, 10q, 11p, 11q, 21q [23]
1q, 6p, 11q13, 17q, 12q14 [23]
3q, 8p, 10q*, 11p [23]

*The losses in 10q were significant compared to melanomas from chronic sun exposed skin.

More recently, Curtin et al. found alterations (mutations and amplifications) in the 14q12 locus in some melanomas from all groups except the SSM/nonchronic sun exposure group [24]. Examination of this region revealed amplifications and mutations of KIT, a gene critically involved in the homeostatic pathways of human cutaneous melanocytes [25]. The presence of specific genomic changes in different melanoma subtypes provides further evidence pointing to inherent differences in their genomic evolution. At this point it is not entirely clear if the state of cellular differentiation, the type of underlying mutations or the local environment in which the tumor develops has the greatest impact on the differences seen in the chromosomal changes. A greater understanding of this process may provide valuable insight into the nuclear structural and genetic changes that occur as melanoma develops.

Another interesting finding is the loss of 9p21 (including tumor suppressor genes CDKN2A, CDKN2B, and ARF) in 56% of common and 54% of dysplastic nevi that are associated with melanoma [26]. Loss of 9p21 was not seen in control nevi not associated with melanoma. This suggests that loss of 9p21 may be a cytogenetic marker for nevi with high potential to progress to melanoma [26].

Thus these findings suggest that the patterns of chromosomal aberrations in melanocytic lesions have potential diagnostic and prognostic value.

6. What Techniques Can We Utilize to Diagnose Genomic Instability?

Currently, two major assay methods are being used to detect CIN in melanomas. One approach, noted above, is CGH. The advantage of CGH is the fine detail to which genomic changes can be mapped. However, this approach can be costly and because the DNA is pooled, the changes detected represent an average and do not provide data on the genetic heterogeneity that may exist between tumor cells. A second commonly applied approach is Fluorescence in situ Hybridization (FISH) [27, 28]. FISH allows the detection of copy number changes on chromosomal regions using DNA probes directly on individual cells. The DNA probes may target chromosomal specific centromeric regions as shown in cells in culture (Figure 2), or may be targeted to bind to specific gene loci. One of the disadvantages of FISH is that only a limited number of probes can be imaged at a time. However, its relatively low cost, the ability to perform analysis on tissue sections, ability to examine individual cells and use with automatic imaging systems is increasing its diagnostic use [29]. As genomic technologies move forward there will certainly be improved technologies.

(a)

(b)

(c)

Figure 2: FISH utilizes fluorescent probes to specific areas on chromosomes in cultured cells. Illustrated are OligoFISH probes to the centromeres of chromosomes 2 (yellow), 6 (light blue), 7 (green), and 8 (red). (a) demonstrates the binding to specific chromosomes in a metaphase spread; (b), binding to DNA sequences in a normal diploid human cell, and (c), binding to sequences in a cell with an abnormally increased chromosomal number.

7. How Well Has FISH Done?

Given the advantages of FISH, most efforts are focusing on its use for melanoma diagnosis (Table 2) [6, 30–36]. FISH probes may be designed to identify chromosomes or specific gene loci. Utilization of probes specific to chromosomes 6, 7, 11, and 20 (Cellay, Cambridge, MA) revealed significant changes between benign nevi and melanoma [30]. Chromosomal abnormalities were noted in only 2 of the 32 benign nevi while 29 of the 31 melanomas revealed changes (). Overall sensitivity and specificity were both reported as 94%. Many studies have been performed with a 4 probe set (Vysis/Abbott Molecular, Des Plaines, IL) that targets 6p25: ras responsive element binding protein 1 (RREB1), 6q23: v-myb myeloblastosis viral oncogene homologue (MYB), CEP6 (centromere 6), and 11q13: cyclin D1 (CCND1) [29]. One study showed the sensitivity and specificity of 100% in discriminating between nodular melanoma and mitotically active nevi, though the study was conducted on a small sample of ten cases [37]. Table 2 depicts the sensitivity and specificity of five FISH studies done with the above 4 probe set [6, 31–34].

Table 2: The sensitivity and specificity of recent studies using FISH assays to identify melanoma.

Probe set used
Research study
Sensitivity %
Specificity %
Melanoma tested

(+/total)
Typical nevi tested

(+/total)
Ambiguous lesion tested
Number of experts reviewing results

chromosome 6, 7, 11, and 20
Hossain et al. [30]
94%
94%
29/31
2/32
0
2

6p25 (RREB1)

6q23 (MYB)

CEP6

11q13 (CCND1)
Gerami et al. [6]
86.7
95.4
72/83
4/86
12/27
2

Fang et al. [31]
82
98
41/50
1/50*
0
**

Vergier et al. [32]
85
90
17/20
2/19
23/90
3

Abásoloet al. [33]
100
94.1
27/27
1/9
1/9
2

Gaiser et al. [34]
50***
60***
7
3
12
3

9p21 (CDKN2A)

6p25 (RREB1)

11q13 (CCND1)
Gerami et al. [35]
94
98
**/51
**/51
0
**

8q24 (MYC)

D18Z1

DXZ1
Satoh et al. [36]
100
100
8/8
0/8
0
**

DYZ3

*Corrected for tetraploidy.

**Exact number not specified.

***Based on clinical behavior.

Although the results of the first four studies with the probe set revealed FISH to be a relatively reliable tool in diagnosing melanoma properly, a study by Gaiser et al. in 2010 was not as encouraging [34]. In this study they looked at the correlation of FISH with patient outcome. The results did not achieve clinically useful sensitivity or specificity. However, CGH did reveal significantly more chromosomal aberrations in the melanocytic lesions that developed metastasis.

The ability of FISH to determine ploidy of cells has also been shown in a study conducted by Satoh et al. in 2000 [36]. Using alpha-satellite DNA probes, D18Z1, DXZ1, and DYZ3, they were able to detect tetraploidy in all of their melanomas. However, tetraploidy can also be identified in Spitz nevus samples and may need to be controlled for [31]. A recent study by Gerami et al. with a new probe set including CDKN2A (9p21), RREB1 (6p25), MYC (8q24), and CCND1 (11q13) that allows also for better control of tetraploidy, revealed a sensitivity of 94% and specificity of 98% for melanoma; thus, demonstrating a marked improvement in diagnostic value [35]. It is of some interest that a tetraploid state has been shown to precede aneuploidy and acquisition of malignant behavior in prostate, breast, and ovarian cancer models [38, 39].

FISH has also been used for uveal melanoma. Van den Bosch et al. used probes for chromosomes 1, 3, 6, and 8 and correlated alterations in the number of these chromosomes with survival of patients with uveal melanoma [40]. They identified statistically significant relationships between certain alterations of the numbers of these chromosomes with survival, with monosomy 3 (), and gain of chromosome 8 () as the most significant genetic changes detected that correlate with poor prognosis. Similarly, Patel et al. examined loss or gains of chromosomes 3 and 8 in 33 uveal melanomas [41]. Sixteen (48%) of those tumors were found to have genetic imbalances and 14 (88%) of those patients had died by the end of the study. Of the 51% that showed no genetic imbalances, only 5 patients (29%) had died by the end of the study.

In summary, FISH is a promising technique and segregates well with clearly benign or malignant lesions. However, indeterminate melanocytic lesions still pose a challenge. Given recent probe improvements and data on uveal melanoma, FISH is likely to have an increasing role in prognosis.

8. Where Else Can We Take This in the Future?

Rapid advances in technology may allow for numerous different color probes/channels to be analyzed simultaneously thus allowing for a more extensive determination of chromosome number and specific gene amplifications or deletions. Further it is possible that with increased sensitivity, mutation specific probes could also be created and utilized. Ultimately these approaches will allow for a more thorough analysis of CIN and specific defects in molecular pathways on a cell by cell basis.

It is possible that these approaches will eventually surpass standard histopathologic diagnosis in the determination of which lesions are most likely to be lethal. Further, these techniques may also be used to characterize the different subsets of melanomas and may be used to determine the optimal drugs for treatment.

9. Conclusion

Melanoma is an extremely aggressive and deadly form of cancer. Early detection and diagnosis remains the best way to save lives from this disease. However, early melanoma can be difficult to distinguish from unusual/atypical nevi and every year the number of melanoma diagnoses increases [42, 43]. In contrast to benign nevi, melanoma demonstrates marked CIN. The pathways involved in the process still need to be fully defined. Nevertheless, current technologies detecting differences in CIN have diagnostic value and as the technologies continue to improve, they have the potential to eventually surpass the accuracy of standard histopathologic diagnosis.

Disclosure

A. M. Rosa, D. M. Byrnes, N. Dabas, M. S. Eller, and J. M. Grichnik, do not have any financial relationships relevant to this paper. J. M. Grichnik DigitalDerm, Inc. Major Shareholder, Genentech-consultant, Caliber Imaging and Diagnostics, Inc., consulting and equipment. A. M. Rosa, D. M. Byrnes, N. Dabas, and M. S. Eller do not have any other financial relationships.

Acknowledgments

The authors thank Joan Aurich, Ph.D. Elizabeth Ewen, Ph.D., and Michael Gildea at Cellay, Inc. (Cambridge, MA) for the FISH data presented in Figure 2. We are indebted to the Department of Dermatology, Anna Fund Melanoma Program, Sylvester Comprehensive Cancer Center, and the Interdisciplinary Stem Cell Institute at the University of Miami for their ongoing support. This study was supported in part by the Department of Dermatology and the Anna Fund Melanoma Program at Sylvester Comprehensive Cancer Center, University of Miami.

References

E. R. Farmer, R. Gonin, and M. P. Hanna, “Discordance in the histopathologic diagnosis of melanoma and melanocytic nevi between expert pathologists,” Human Pathology, vol. 27, no. 6, pp. 528–531, 1996.

B. A. Shoo, R. W. Sagebiel, and M. Kashani-Sabet, “Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center,” Journal of the American Academy of Dermatology, vol. 62, no. 5, pp. 751–756, 2010.

S. Lodha, S. Saggar, J. T. Celebi, and D. N. Silvers, “Discordance in the histopathologic diagnosis of difficult melanocytic neoplasms in the clinical setting,” Journal of Cutaneous Pathology, vol. 35, no. 4, pp. 349–352, 2008.

K. C. Veenhuizen, P. E. De Wit, W. J. Mooi, et al., “Quality assessment by expert opinion in melanoma pathology: experience of the pathology panel of the Dutch Melanoma Working Party,” Journal of Pathology, vol. 182, no. 3, pp. 266–272, 1997.

E. B. Hawryluk, A. J. Sober, A. Piris, et al., “Histologically challenging melanocytic tumors referred to a tertiary care pigmented lesion clinic,” Journal of the American Academy Dermatology, vol. 67, no. 4, pp. 727–735, 2012.

P. Gerami, S. S. Jewell, and L. E. Morrison, “Fluorescence in situ hybridization (FISH) as an ancillary diagnostic tool in the diagnosis of melanoma,” American Journal of Surgical Pathology, vol. 33, no. 8, pp. 61146–61156, 2009.

C. Curiel-Lewandrowski, C. C. Kim, S. M. Swetter, et al., “Survival is not the only valuable end point in melanoma screening. Melanoma Prevention Working Group Pigmented Skin Lesion Sub-Committee,” Journal of Investigative Dermatology, vol. 132, no. 5, pp. 1332–1337, 2012.

B. C. Bastian, A. B. Olshen, P. E. LeBoit, and D. Pinkel, “Classifying melanocytic tumors based on DNA copy number changes,” American Journal of Pathology, vol. 163, no. 5, pp. 1765–1770, 2003.

C. R. Boland, N. L. Komarova, and A. Goel, “Chromosomal instability and cancer: not just one CINgle mechanism,” Gut, vol. 58, no. 2, pp. 163–164, 2009.

S. Negrini, V. G. Gorgoulis, and T. D. Halazonetis, “Genomic instability an evolving hallmark of cancer,” Nature Reviews Molecular Cell Biology, vol. 11, no. 3, pp. 220–228, 2010.

D. Gordon, B. Resio, D. Pellman, et al., “Causes and consequences of aneuploidy in cancer,” Nature Reviews Genetics, vol. 13, no. 3, pp. 189–203, 2012.

S. F. Bakhoum and D. A. Compton, “Chromosomal instability and cancer: a complex relationship with therapeutic potential,” Journal Clinical Investigation, vol. 122, no. 4, pp. 1138–1143, 2012.

Y. B. Yurov, S. G. Vorsanova, and I. Y. Iourov, “GIN“n”CIN hypothesis of brain aging: deciphering the role of somatic genetic instabilities and neural aneuploidy during ontogeny,” Molecular Cytogenetics, vol. 2, no. 23, pp. 1–9, 2009.

A. L. Ross, D. E. Leder, J. Weiss, J. Izakovic, and J. M. Grichnik, “Genomic instability in cultured stem cells: associated risks and underlying mechanisms,” Regenerative Medicine, vol. 6, no. 5, pp. 653–662, 2011.

J. Bauer and B. C. Bastian, “Distinguishing melanocytic nevi from melanoma by DNA copy number changes: comparative genomic hybridization as a research and diagnostic tool,” Dermatologic Therapy, vol. 19, no. 1, pp. 40–49, 2006.

E. Wang, S. Voiculescu, I. C. Le Poole et al., “Clonal persistence and evolution during a decade of recurrent melanoma,” Journal of Investigative Dermatology, vol. 126, no. 6, pp. 1372–1377, 2006.

J. M. Grichnik, “Genomic instability and tumor stem cells,” Journal of Investigative Dermatology, vol. 126, no. 6, pp. 1214–1216, 2006.

M. Sabatino, Y. Zhao, S. Voiculescu et al., “Conservation of genetic alterations in recurrent melanoma supports the melanoma stem cell hypothesis,” Cancer Research, vol. 68, no. 1, pp. 122–131, 2008.

B. C. Bastian, “Understanding the progression of melanocytic neoplasia using genomic analysis: from fields to cancer,” Oncogene, vol. 22, no. 20, pp. 3081–3086, 2003.

J. Draeger, H. Schell, F. Kiesewetter, T. Liehr, and E. Gebhart, “Chromosome gain and loss in paraffin sections from malignant melanomas of the skin,” International Journal of Oncology, vol. 10, no. 1, pp. 89–92, 1997.

B. C. Bastian, P. E. LeBoit, and D. Pinkel, “Mutations and copy number increase of HRAS in Spitz nevi with distinctive histopathological features,” American Journal of Pathology, vol. 157, no. 3, pp. 967–972, 2000.

V. Martin, S. Banfi, A. Bordoni, et al., “Presence of cytogenetic abnormalities in Spitz naevi: a diagnostic challenge for fluorescence in-situ hybridization analysis,” Histopathology, vol. 60, no. 2, pp. 336–346, 2012.

J. A. Curtin, J. Fridlyand, T. Kageshita et al., “Distinct sets of genetic alterations in melanoma,” The New England Journal of Medicine, vol. 353, no. 20, pp. 2135–2147, 2005.

J. A. Curtin, K. Busam, D. Pinkel, and B. C. Bastian, “Somatic activation of KIT in distinct subtypes of melanoma,” Journal of Clinical Oncology, vol. 24, no. 26, pp. 4340–4346, 2006.

J. M. Grichnik, J. A. Burch, J. Burchette, and C. R. Shea, “The SCF/KIT pathway plays a critical role in the control of normal human melanocyte homeostasis,” Journal of Investigative Dermatology, vol. 111, no. 2, pp. 233–238, 1998.

L. Casorzo, C. Luzzi, A. Nardacchione, F. Picciotto, A. Pisacane, and M. Risio, “Fluorescence in situ hybridization (FISH) evaluation of chromosomes 6, 7, 9 and 10 throughout human melanocytic tumorigenesis,” Melanoma Research, vol. 15, no. 3, pp. 155–160, 2005.

G. V. Wettengel, J. Draeger, F. Kiesewetter, H. Schell, S. Neubauer, and E. Gebhart, “Differentiation between Spitz nevi and malignant melanomas by interphase fluorescence in situ hybridization,” International Journal of Oncology, vol. 14, no. 6, pp. 1177–1183, 1999.

M. Döbler, J. Schuh, F. Kiesewetter, H. Schell, T. Liehr, and E. Gebhart, “Deletion monitoring in skin tumors by interphase-FISH using band-specific DNA probes,” International Journal of Oncology, vol. 14, no. 3, pp. 571–576, 1999.

P. Gerami and A. Zembowicz, “Update on fluorescence in situ hybridization in melanoma: state of the art,” Archives of Pathology and Laboratory Medicine, vol. 135, no. 7, pp. 830–837, 2011.

D. Hossain, J. Qian, J. Adupe, et al., “Differentiation of melanoma and benign nevi by fluorescence in-situ hybridization,” Melanoma Research, vol. 21, no. 5, pp. 426–430, 2011.

Y. Fang, S. Dusza, S. Jhanwar, et al., “Fluorescence In Situ hybridization (FISH) analysis of melanocytic nevi and melanomas: sensitivity, specificity, and lack of association with sentinel node status,” International Journal of Surgical Pathology, vol. 20, no. 5, pp. 434–440, 2012.

B. Vergier, M. Prochazkova-Carlotti, A. De La Fouchardière et al., “Fluorescence in situ hybridization, a diagnostic aid in ambiguous melanocytic tumors: European study of 113 cases,” Modern Pathology, vol. 24, no. 5, pp. 613–623, 2011.

A. Abásolo, M. T. Vargas, J. J. Ríos-Martín, et al., “Application of fluorescence in situ hybridization as a diagnostic tool in melanocytic lesions, using paraffin wax-embedded tissues and imprint-cytology specimens,” Clinical and Experimental Dermatology. In press

T. Gaiser, H. Kutzner, G. Palmedo et al., “Classifying ambiguous melanocytic lesions with FISH and correlation with clinical long-term follow up,” Modern Pathology, vol. 23, no. 3, pp. 413–419, 2010.

P. Gerami, G. Li, P. Pouryazdanparast, et al., “A highly specific and discriminatory FISH assay for distinguishing between benign and malignant melanocytic neoplasms,” The American Journal of Surgical Pathology, vol. 36, no. 6, pp. 808–817, 2012.

S. Satoh, T. Hashimoto-Tamaoki, J. Furuyama, K. Mihara, M. Namba, and Y. Kitano, “High frequency of tetraploidy detected in malignant melanoma of Japanese patients by fluorescence in situ hybridization,” International Journal of Oncology, vol. 17, no. 4, pp. 707–715, 2000.

P. Gerami, A. Wass, M. Mafee, Y. Fang, M. P. Pulitzer, and K. J. Busam, “Fluorescence in situ hybridization for distinguishing nevoid melanomas from mitotically active nevi,” American Journal of Surgical Pathology, vol. 33, no. 12, pp. 1783–1788, 2009.

M. Roh, O. E. Franco, S. W. Hayward, R. van der Meer, and S. A. Abdulkadir, “A role for polyploidy in the tumorigenicity of Pim-1-expressing human prostate and mammary epithelial cells,” PLoS ONE, vol. 3, no. 7, Article ID e2572, 2008.

L. Lv, T. Zhang, Q. Yi, et al., “Tetraploid cells from cytokinesis failure induce aneuploidy and spontaneous transformation of mouse ovarian surface epithelial cells,” Cell Cycle, vol. 11, no. 15, pp. 2864–2875, 2012.

T. van den Bosch, J. G. van Beek, J. Vaarwater, et al., “Higher percentage of FISH-determined monosomy 3 and 8q amplification in uveal melanoma cells relate to poor patient prognosis,” Investigative Ophthalmology & Visual Science, vol. 53, no. 6, pp. 2668–2674, 2012.

K. A. Patel, N. D. Edmondson, F. Talbot, M. A. Parsons, I. G. Rennie, and K. Sisley, “Prediction of prognosis in patients with uveal melanoma using fluorescence in situ hybridisation,” British Journal of Ophthalmology, vol. 85, no. 12, pp. 1440–1444, 2001.

A. Jemal, R. Siegel, J. Xu, and E. Ward, “Cancer statistics, 2010,” CA Cancer Journal for Clinicians, vol. 60, no. 5, pp. 277–300, 2010.

R. Siegel, D. Naishadham, and A. Jemal, “Cancer statistics, 2010,” CA A Cancer Journal for Clinicians, vol. 62, no. 1, pp. 10–29, 2012.