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Published in final edited form as: Am J Dermatopathol. 2023 Mar 20;45(5):311–319. doi: 10.1097/DAD.0000000000002420

Gain of CCND1 May Occur Too Infrequently in Cutaneous Melanoma, and Too Late in Melanomagenesis, to Be Diagnostically Useful: Genomic Analysis of 88 Cases

Jason R McFadden *, Advaita S Chaudhari *, Mirjana Stevanovic , Gregory J Tsongalis †,, Edward G Hughes , Aravindhan Sriharan †,
PMCID: PMC10916931  NIHMSID: NIHMS1961626  PMID: 36939129

Abstract

Genomic analysis is an important tool in the diagnosis of histologically ambiguous melanocytic neoplasms. Melanomas, in contrast to nevi, are characterized by the presence of multiple copy number alterations. One such alteration is gain of the proto-oncogene CCND1 at 11q13. In melanoma, gain of CCND1 has been reported in approximately one-fifth of cases. Exact frequencies of CCND1 gain vary by melanoma subtype, ranging from 15.8% for lentigo maligna to 25.1% for acral melanoma. We present a cohort of 72 cutaneous melanomas from 2017–2022 in which only 6 (8.3%) showed evidence of CCND1 gain by chromosomal microarray. This CCND1 upregulation frequency falls well below those previously published and is significantly lower than estimated in the literature (P < 0.05). In addition, all 6 melanomas with CCND1 gain had copy number alterations at other loci (most commonly CDKN2A loss, followed by RREB1 gain), and 5 were either thick or metastatic lesions. This suggests that CCND1 gene amplification may be a later event in melanomagenesis, long after a lesion would be borderline or equivocal by histology. Data from fluorescence in situ hybridization, performed on 16 additional cutaneous melanomas, further corroborate our findings. CCND1 gain may not be a common alteration in melanoma and likely occurs too late in melanomagenesis to be diagnostically useful. We present the largest chromosomal microarray analysis of CCND1 upregulation frequencies in cutaneous melanoma, conjecture 3 hypotheses to explain our novel observation, and discuss implications for the inclusion or exclusion of CCND1 probes in future melanoma gene panels.

Keywords: melanoma, CCND1, histologically ambiguous melanocytic neoplasms, copy number variation

INTRODUCTION

Melanomas, unlike nevi, often harbor genomic alterations at 8q24 (gain of MYC), 9q21 (loss of CDKN2A), 6q23 (loss of MYB), and 6p24 (gain of RREB1).1,2 For histologically ambiguous melanocytic neoplasms, copy number variation (CNV) analysis at these loci can be decisive. Gain of the proto-oncogene CCND1 at 11q13 has also been described as a recurrent alteration in melanoma, particularly of the acral lentiginous subtype.3,4 CCND1 is a 13,388 base pair proto-oncogene expressed ubiquitously in the skin and liver (National Library of Medicine, National Center for Biotechnology Information). Alternative splicing results in 2 major CCND1 mRNA transcripts modulated by the A870G single nucleotide polymorphism5 (Fig. 1). Both isoforms of cyclin D1, the protein encoded by CCND1, are involved in G1-S cell cycle progression by stimulating CDK4 and CDK6. Amplification of CCND1 and overexpression of cyclin D1 can also promote melanomagenesis by inhibiting DNA repair, suppressing mitochondrial metabolism, promoting field cell proliferation, and activating the MAPK, PI3K, Akt, Wnt, and NF-kb oncogenic pathways.610

FIGURE 1.

FIGURE 1.

The A870G single nucleotide polymorphism results in 2 major CCND1 mRNA transcripts. Cyclin D1a has a stronger ability to phosphorylate pRb than cyclin D1b. In addition, recruitment of cyclin D1a, but not cyclin D1b, to chromatin is sufficient for DNA damage response.

Previously Reported Frequencies of CCND1 Gain in Cutaneous Melanoma

Previous literature estimates of CCND1 gain in melanoma vary considerably (Fig. 2). To maximize generalizability and minimize bias, we analyzed data from the largest meta-analysis of CCND1 amplification frequencies in melanoma, found in González-Ruiz et al. The authors analyzed 22 studies in 2096 melanomas (sample size range: 6–514 melanomas), with samples hailing from 5 continents and 11 countries.11 Because we restricted our analysis to cutaneous melanomas, we excluded 5 of the 22 studies: 4 because mucosal melanomas were analyzed and 1 because both mucosal and uveal melanomas were analyzed. The 17 remaining studies comprised 1518 cutaneous melanomas (sample size range: 7–514 melanomas), with samples hailing from 5 continents and 9 countries (Table 1).

FIGURE 2.

FIGURE 2.

Individual study estimates of CCND1 amplification in melanoma vary considerably. The frequencies of CCND1 gain in melanoma for the 17 individual studies in Gonzalez-Ruiz et al, the largest meta-analysis of CCND1 amplifications in melanoma, are shown in blue. Exact numerical values are found in Table 1. Our frequency of CCND1 gain in melanoma (8.3%) is shown in red.

TABLE 1.

Individual Study Estimates of CCND1 Gene Amplification Frequencies in Cutaneous Melanoma

No Study Country Method for CNV Detection No of Melanomas With CCND1 Gain Total No of Melanomas Analyzed % Melanomas With CCND1 Gain Histologic Subtypes of Cutaneous Melanomas
1 Sauter et al, 2002 United States FISH 12 102 11.76% NM (17), SSM (57), LMM (18), and ALM (10)
2 Utikal et al, 2005 Norway FISH 12 31 38.7% NM (13), SSM (4), LMM (1), ALM (1), and metastatic (12)
3 Takata et al, 2005 Japan FISH 5 21 23.8% ALM (10) and metastatic (11)
4 Morey et al, 2009 Australia FISH 15 20 75.0% NM (3), SSM (6), metastatic (10), and unknown (1)
5 Lázár et al, 2009 Hungary qPCR and FISH 24 74 32.35% NM (26), SSM (42), and metastatic (6)
6 Gerami et al, 2009 United States FISH 3 10 30.0% NOC (10)
7 Nai et al, 2010 Brazil FISH 5 62 8.06% SSM (26), NM (13), LMM (12), ALM (10), and NOC (1)
8 Requena et al, 2012 Spain FISH 7 8 87.50% Spitzoid (8)
9 Nathanson et al, 2013 Australia and United States CGH 11 21 52.17% Metastatic (21)
10 Diaz et al, 2014 Spain FISH 8 34 23.53% ALM (34)
11 Young et al, 2014 Australia FISH 22 143 15.38% NOC (143)
12 Romano et al, 2016 United States FISH 3 7 42.85% ALM (3), NM (2), MIS (1), and unknown (1)
13 Kong et al, 2017 China qPCR 137 514 26.65% ALM (514)
14 Su et al, 2017 China FISH 19 44 43.18% ALM (44)
15 Sini et al, 2018 Italy FISH 15 262 5.72% NOC (118) and metastatic (144)
16 Haugh et al, 2018 United States FISH 7 43 16.27% ALM (19), SSM (19), LMM (1), and NM (4)
17 Yeh et al, 2019 United States NGS 24 122 19.67% ALM (122)
Total 329 1518 21.67%

All studies were taken from Gonzalez-Ruiz et al, the largest meta-analysis of CCND1 upregulation frequencies in cutaneous melanoma.

ALM, acral lentiginous melanoma; CGH, comparative genomic hybridization; LMM, lentigo maligna melanoma; NGS, next-generation sequencing; NM, nodular melanoma; SSM, superficial spreading melanoma; NOC, cutaneous melanoma, not otherwise classified; MIS, melanoma in situ; qPCR, quantitative polymerase chain reaction.

Among these 17 studies, estimates of CCND1 gain in cutaneous melanoma varied considerably (mean 31.2%, SD 22.6%, range 5.7%–87.5%)11 (Table 1). CCND1 gain was most frequent in acral lentiginous melanomas (25.1%, 95% CI = 15.8–35.4%), followed by the nodular (22.7%, 95% CI = 3.7–48.3%), lentigo maligna (16.2%, 95% CI = 2.5–35.6%), and superficial spreading (15.8%, 95% CI = 3.4–32.9%) subtypes.11

MATERIALS AND METHODS

Cohort Selection

Institutional records were searched for all melanocytic neoplasms and metastatic melanomas diagnosed at our institution from 2017 to 2022. Inclusion criteria were as follows: (1) histologically confirmed diagnosis of cutaneous malignant melanoma; (2) known chromosomal microarray analysis (CMA)-determined copy number status for RREB1, MYB, MYC, CDKN2A, and CCND1; and (3) no evidence of mucosal or uveal melanoma. Our patient cohort hails largely from the Upper Valley of the Connecticut River (ie, MA, VT, and NH). Demographic and clinical details were gathered for each patient, including age, sex, primary versus metastatic status, Breslow depth, and histologic subtype (Table 2). All melanoma samples were reviewed by at least 1 board-certified dermatopathologist at an NCI-Designated Comprehensive Cancer Center.

Table 2.

Clinicopathologic Features of Melanoma Cases in Our Cohort for Which CMA Was Performed

Case No Sex Age at Biopsy (yr) RREB1 Gain MYB Loss MYC Gain CDKN2A Loss CCND1 Gain Necrosis Hemorrhage Histologic Subtype Breslow Depth (mm) Research or Clinical?
1 M 87 + + Yes No Metastatic N/A Research
2 M 87 + + NR NR Metastatic N/A Research
3 M 65 + + Yes No Metastatic N/A Research
4 M 65 + + Yes Yes Metastatic N/A Research
5 M 52 + + + NR NR Metastatic N/A Research
6 M 52 + + + NR NR Metastatic N/A Research
7 F 53 + Yes Yes Metastatic N/A Research
8 F 53 + + Yes Yes Metastatic N/A Research
9 F 53 + + NR NR Metastatic N/A Research
10 F 53 + + NR NR Metastatic N/A Research
11 M 33 + + No No Locoregional metastasis/recurrence N/A Research
12 M 64 + + + No No Nodular 1.6 Research
13 M 67 + + Yes Yes Not otherwise specified N/A Clinical
14 M 55 + + No No Nevoid N/A Clinical
15 M 64 + No No Mixed (desmoplastic and nodular) N/A Clinical
16 F 51 No No Melanoma in situ and spitzoid N/A Clinical
17 M 48 + + No No Nevoid 2.3 Research
18 F 81 + + + + Yes No Metastatic N/A Research
19 F 68 + No No Metastatic N/A Research
20 M 56 + + Yes Yes Metastatic N/A Research
21 M 56 + + Yes Yes Metastatic N/A Research
22 F 71 + + No No Metastatic N/A Research
23 F 71 + + No No Metastatic N/A Research
24 F 68 + + No No Metastatic N/A Research
25 M 67 + + No Yes Metastatic N/A Research
26 M 67 + + No No Metastatic N/A Research
27 M 67 + + No Yes Metastatic N/A Research
28 M 77 + + Yes Yes Metastatic N/A Research
29 M 73 + + No No Multiple (epithelioid, spindled, and clear cell) 4.1 Research
30 F 65 + + No No Acral 1.5 Research
31 F 65 + + No No Acral 0.9 Research
32 F 65 + + No No Acral 1.2 Research
33 M 97 + + + No No Subungual 2.7 Research
34 F 83 + + + Yes No Nevoid 4.8 Research
35 F 83 + + + Yes Yes Nevoid 4.8 Research
36 M 71 + + No No Melanoma in situ N/A Research
37 F 58 + + No No Superficial spreading 0.4 Research
38 F 63 + No No Melanoma in situ N/A Research
39 M 83 + + + + No Yes Nodular 4.9 Research
40 M 97 + + No Yes Nodular 9.8 Research
41 M 63 + + No No Superficial spreading 0.8 Research
42 M 59 + + Yes No Nodular 4.2 Research
43 M 66 + No No Lentigo maligna 0.2 Research
44 F 74 + + NR NR Melanoma in situ N/A Research
45 M 79 + No No Lentigo maligna 0.4 Research
46 M 72 + Yes Yes Dedifferentiated and spindled 6.4 Research
47 M 84 + + + No No Superficial spreading and spindle cell 1.2 Research
48 M 69 + No No Nevoid 1.2 Research
49 M 76 + + + NR NR Nodular 2.5 Research
50 M 60 + + + NR NR Nodular 5.0 Research
51 M 66 + NR NR Superficial spreading and spindle cell 0.9 Research
52 M 70 + NR NR Mixed spindled and desmoplastic 15 Research
53 F 67 + NR NR Not otherwise specified 1.3 Research
54 M 64 + + NR NR Nodular 3.2 Research
55 M 62 + NR NR Nodular 3.3 Research
56 F 63 + NR NR Not otherwise specified 1.9 Clinical
57 M 69 + + NR NR Metastatic 3.8 Research
58 M 45 + + + NR NR Blue nevus–like 16 Research
59 M 64 + No No Mixed desmoplastic 15 Research
60 M 75 + + + NR NR Superficial spreading 2.9 Research
61 M 70 NR NR Superficial spreading 2.2 Research
62 M 74 Yes Yes Superficial spreading 3.0 Research
63 M 74 No No Melanoma in situ N/A Research
64 F 83 No No Melanoma in situ N/A Research
65 F 47 No No Melanoma in situ N/A Research
66 F 68 No No Melanoma in situ 0.7 Research
67 M 64 No No Superficial spreading 0.3 Research
68 M 57 No No Superficial spreading 0.3 Research
69 M 80 NR NR Nevoid 0.7 Research
70 M 71 NR NR Superficial spreading 0.7 Research
71 M 59 NR NR Spitzoid 0.6 Research
72 M 60 NR NR Superficial spreading 0.4 Research

“Clinical,” CMA was performed for clinical care, not research (retrospectively), and was used to establish the melanoma diagnosis; “Research,” CMA was performed for research, not clinical care (prospectively). N/A, not applicable; all copy number alterations were assessed through CMA; NR, not recorded; “+,” copy number alteration was detected by CMA; “−,” copy number alteration was not detected by CMA.

Chromosomal Microarray (Array Comparative Genomic Hybridization)

DNA from the 72 melanoma samples was isolated using the QIAGEN QIAamp FFPE Tissue Kit (Qiagen, Valencia, CA). DNA quantity was measured through Qubit Fluorometer 3.0 and Qubit dsDNA High-Sensitivity assay kit (Thermo Fisher Scientific company, Waltham, MA). Samples were then subjected to CMA for quantitation of CNV in CCND1, RREB1, MYC, CDKN2A, and MYB following the protocol of the OncoScan FFPE Assay Kit (Affymetrix, a Thermo Fisher Scientific company, Santa Clara, CA). All CMA copy number gains and losses were confirmed by an expert in CMA analysis.

Statistical Analysis

To assess CNV in CCND1, 13 of the 17 studies in the Gonzalez-Ruiz et al11 meta-analysis used fluorescence in situ hybridization (FISH), 1 used qPCR, 1 used both FISH and qPCR, 1 used comparative genomic hybridization, and 1 used next-generation sequencing. CCND1 gain was considered “positive” (evidence of CCND1 gain) or “negative” (no evidence of CCND1 gain) according to the methodology used in each study. Of all 1518 cutaneous melanomas in the meta-analysis, 329 had evidence for CCND1 gain, yielding an overall literature estimate of 21.7% (Table 1).11

RESULTS

Patient Cohort

Seventy-two formalin-fixed, paraffin-embedded (FFPE) skin samples from 60 patients met inclusion criteria (Table 2). Seventeen patients (28.3%) were female. Mean age at the time of biopsy was 66.7 years (range 33–97, SD 12.2). Of the 72 cutaneous melanomas, 9 (12.5%) were superficial spreading, 8 (11.1%) nodular, 7 (9.7%) melanoma in situ, 6 (8.3%) nevoid, 3 (4.2%) acral lentiginous, 3 (4.2%) not otherwise specified, 2 (2.8%) lentigo maligna, 2 (2.8%) superficial spreading and spindle cell, 1 (1.4%) blue nevus–like, 1 (1.4%) spitzoid, 1 (1.4%) mixed desmoplastic and nodular, 1 (1.4%) mixed desmoplastic and spindled, 1 (1.4%) mixed desmoplastic, 1 (1.4%) subungual, 1 (1.4%) epithelioid, spindled, and clear cell, 1 (1.4%) dedifferentiated and spindled, and 1 (1.4%) metastatic versus amelanotic. The remaining 23 (31.9%) cases were metastatic lesions. Average Breslow depth for histologically confirmed primary cutaneous melanomas was 3.3 mm (range 0.2–16.0).

Comparison With Previous Literature Estimates

Of the 72 cutaneous melanomas in our cohort, 6 (8.3%) had evidence of CCND1 gain by CMA. To compare our frequency of cutaneous melanomas with CCND1 gain (8.3%) to the overall literature estimate of 21.7%, we used a 2-proportions z-test. We obtained a statistically significant difference between our frequency of CCND1 gain in cutaneous melanoma (8.3%) and the overall literature estimate of 21.7% (P < 0.05) (Fig. 3). Because this 21.7% estimate combines melanomas from 17 individual studies, we calculated an additional literature estimate (from the same 17 studies in the meta-analysis) that accounts for combining data from heterogeneous sources. To do this, we fit a generalized mixed-effects model in which “individual study” was treated as a random effect and obtained a “corrected” overall literature estimate of 25.6%. We again saw a statistically significant difference between our frequency of CCND1 gain in cutaneous melanoma (8.3%) and this “corrected” literature estimate of 25.6% (P < 0.01) (Fig. 3). All statistical tests were two-sided.

FIGURE 3.

FIGURE 3.

Results of two-proportions z-test. We found a statistically significant difference between our CCND1 positivity rate in melanoma (8.3%) and the overall literature estimate of 21.7% (P < 0.05). Statistical significance was maintained after accounting for combining data from heterogeneous sources (P < 0.01).

Prospective Versus Retrospective Analysis

For 67 of the 72 melanomas, CMA was performed prospectively (ie, for research, not clinical care). For these 67 cases, marked as “research” in Table 2, the melanoma diagnosis was secured by either hematoxylin and eosin staining alone (30 cases) or by hematoxylin and eosin staining and immunohistochemistry (37 cases). CMA was not involved in clinical care and was performed for research purposes after the melanoma diagnosis was established. All 6 CCND1-positive melanomas fall into this category, wherein the diagnosis was already clear.

For the 5 remaining melanomas, CMA data were collected retrospectively (ie, CMA had been performed for clinical care, not research) (Table 2). None of these 5 melanomas had evidence of CCND1 gain by CMA.

Histopathology of Melanomas With CCND1 Gain

All melanoma cases were assessed for dense (lymph node–like) inflammation, a prominent associated nevus, tumor necrosis, and hemorrhage. Of the 6 melanomas with CCND1 gain in our cohort, 2 had both hemorrhage and necrosis, 2 had hemorrhage without necrosis, and 2 had neither hemorrhage nor necrosis. By histologic subtype, 3 of these 6 CCND1-positive melanomas were nodular (individual Breslow depths = 3.2 mm, 4.9 mm, and 9.8 mm), 1 was blue nevus–like (Breslow depth = 16 mm), 1 was superficial spreading and spindle cell (Breslow depth = 1.2 mm), and 1 was a metastatic lesion. Representative histologic images are shown in Figure 4.

FIGURE 4.

FIGURE 4.

Representative images of all cases with evidence of CCND1 gain by CMA in our cohort. The melanomas are characterized by clearly malignant features, such as sheet-like growth (A–C), ulceration and hemorrhage (D), mitotic activity and a lack of maturation (E), or marked cytologic atypia (F). In each of these, CMA was performed for research purposes alone; the diagnosis of melanoma was already clear from morphology.

Molecular Genetics of Melanomas With CCND1 Gain

All 6 melanomas with CCND1 gain also had copy number alterations in other chromosomal loci: 3 had CDKN2A loss, 1 had both CDKN2A loss and RREB1 gain, 1 had both RREB1 gain and MYC gain, and 1 had CDKN2A loss, RREB1 gain, and MYC gain.

DISCUSSION

To the best of our knowledge, this study is the largest CMA analysis of CCND1 amplification frequencies in cutaneous melanoma. CCND1 gain is reported to be a common copy number alteration in cutaneous melanoma, with some studies12 citing frequencies of up to 87.5%, but our results suggest otherwise. Notably, nearly all (67 of 72) melanomas had not required CMA data to establish a diagnosis. These 67 cases were not borderline melanocytic lesions. None of the 5 borderline lesions had evidence of CCND1 gain. In our data set, that genomic feature only arose in melanomas wherein the disease was advanced and the diagnosis obvious. Our CCND1 positivity rate is significantly lower than those of previous studies; we now turn to the question of why this has occurred in our cohort.

Ethnic Composition of the Patient Cohort

Previous studies have shown that CCND1 amplifications are less prevalent in white patients than in black patients for breast cancer (4.0% vs. 16.0%, P < 0.05), localized prostate cancer (1.9% vs. 5.2%, P < 0.05), and prostate cancer of all stages (3.2% vs. 6.0%, P < 0.05).13,14 More than 90% of patients in our catchment area self-identify as white. It is possible that in cutaneous melanoma, as in breast and prostate cancers, CCND1 gain is less common among white patients than among black patients. Notably, such a difference would be likely independent of processes related to sun exposure. If verified, this could explain the low frequency of CCND1 gain in our cohort.

We also note that previous melanoma FISH studies were conducted in large, ethnically diverse cities, which may have contributed to the wide variation seen in previous estimates of CCND1 gain in melanoma (mean 31.2%, SD 22.6%, range 5.7%–87.5%). Significantly, acral melanomas, in which CCND1 gains are most prevalent, make up approximately 70% of melanomas among black patients but fewer than 5% of melanomas among white patients.15 In our cohort of predominantly white patients, only 3 melanomas (4.2%) were of the acral subtype, none of which showed evidence of CCND1 gain.

Type of Sunlight Exposure (Chronic vs. Intermittent)

In melanoma, CCND1 gains are less common in patients exposed to intermittent UV light than in patients exposed to chronic UV light.1618 Our cohort lives predominantly in the Upper Valley region of the Connecticut River. This region receives very little direct sunlight and is covered by snow—which can backscatter as much as 80% of UV radiation—for many months of the year. Some patients, of course, do travel to other regions. But on a population scale, exposure to intermittent, as opposed to chronic, sunlight in our catchment area presents a possible explanation for our comparatively low melanoma CCND1 amplification frequency (Table 3).

TABLE 3.

Genomic Alterations in Melanoma Because of Varying Levels of Sun Exposure

Chronic Intermittent Sun Exposure Minimal Sun Exposure No Sun Exposure
Affected body parts Face and hands Trunk, arms, and legs Soles and palms Mucosal membranes
Chromosomal gains 6p, 11q13, 17q, and 20q 6p, 7, 8q, 17q, and 20q 5p13, 5p15, 6p, 7, 8q, 11q13, 12q14, 17q, and 20q 1q31, 4q12, 6p, 7, 8q, 11q13, 12q14, 17q, and 20q
Chromosomal losses 6q, 8p, 9p, 13, and 21q 9p, 10, and 21q 6q, 9p, 10, 11q, and 21q 3q, 4q, 6q, 8p, 9p, and 10
Relative level of sun exposure High Moderate Low None

11q13 harbors the CCND1 proto-oncogene.

Table adapted from Nguyen and Watson.20

Is it a CMA Technical Error?

CMA is most effective when performed on euchromatic genes.19 Because CCND1 is pericentromeric (ie, located outside of 11q euchromatin), it is possible that user error may account for our anomalously low CCND1 positivity rate (Fig. 5). This seems somewhat unlikely because all CMA runs were performed by multiple PhD scientists and technicians with years of experience running CMA. It seems similarly unlikely that user error would cause a systematic (ie, nonrandom) effect, only at the 11q pericentromeric locus, over a sustained period from 2017 to 2022. Furthermore, no other genes seem to be affected: Of the 72 melanomas for which CMA was performed, 39 (54.2%) had evidence of RREB1 gain, 29 (40.3%) had evidence of CDKN2A loss, 23 (31.9%) had evidence of MYC gain, and 22 (30.6%) had evidence of MYB loss.

FIGURE 5.

FIGURE 5.

The CCND1 gene is located close to 11q pericentromeric heterochromatin. CMA is most effective when performed on euchromatin. We considered the possibility of whether this location, and/or technical error, could cause the results. Orthogonal FISH indicates otherwise.

To further exclude the possibility of technical error, we reviewed FISH results for an additional 16 cutaneous melanomas, collected at our institution over the past 4 years (Table 4). None of these 16 cases were in the original cohort of 72 melanomas, as these 16 cases had FISH data (not CMA data) for CNV in RREB1, MYC, MYB, CDKN2A, and CCND1—i.e., they did not meet inclusion criterion (2). For these 16 melanomas, FISH had been performed at different laboratories across the United States, chiefly ProPath and the Mayo Clinic. Like the 5 melanomas in the retrospective CMA cohort, these 16 melanomas had CNV analysis performed as part of clinical care; the diagnosis was not obvious and required FISH studies.

Table 4.

Clinicopathologic Features of Melanoma Cases for Which FISH Was Performed

Case No Sex Age at Biopsy (yr) RREB1 Gain MYB Loss MYC Gain CDKN2A Loss CCND1 Gain Histologic Subtype Breslow Depth (mm) Research or Clinical?
1 F 41 + + + Spitzoid 0.3 Clinical
2 M 86 + + Not otherwise specified 0.4 Clinical
3 M 75 + Not otherwise specified 0.5 Clinical
4 F 57 + Superficial spreading 0.6 Clinical
5 F 41 + + Spitzoid 0.4 Clinical
6 M 49 + Superficial spreading 0.3 Clinical
7 F 67 Melanoma in situ N/A Clinical
8 M 41 Not otherwise specified 0.3 Clinical
9 F 70 Not otherwise specified NR Clinical
10 F 55 + Not otherwise specified 0.6 Clinical
11 M 37 + + + Melanoma in situ N/A Clinical
12 M 80 Not otherwise specified 2.4 Clinical
13 F 45 Not otherwise specified 0.3 Clinical
14 F 55 Melanoma in situ N/A Clinical
15 F 67 Melanoma in situ N/A Clinical
16 M 80 Not otherwise specified 0.3 Clinical

No cases in this cohort were included in the original CMA cohort of 72 melanomas. All copy number alterations were assessed through fluorescence in situ hybridization (FISH).

“+,” copy number alteration was detected by FISH; “−,” copy number alteration was not detected by FISH; “Research,” CMA was performed for research, not clinical care (prospectively); “Clinical,” CMA was performed for clinical care, not research (retrospectively), and was used to establish the melanoma diagnosis.

If CMA technical error were occurring, we would expect a greater CCND1 positivity rate by FISH than by CMA. However, only 1 (6.7%) of these 16 melanomas showed evidence of CCND1 gain by FISH. This case was a spitzoid melanoma (Breslow depth = 0.3 mm) that was also FISH-positive for both RREB1 gain and MYC gain. We found no statistically significant difference between our CMA-determined CCND1 positivity rate of 8.3% and our FISH-determined CCND1 positivity rate of 6.7%. These orthogonal data further reduce the likelihood that a CMA technical error occurred.

CCND1 Gain May Occur Too Late in Melanomagenesis to be Useful for Borderline Lesions.

In melanoma, the frequency of CCND1 amplification is significantly greater in distant metastases than in primary tumors (P < 0.05).11 CCND1 gain may occur in the later stages of melanomagenesis, long after a lesion would be considered equivocal or borderline by histology. Our results are congruent with this idea. None of the 7 cutaneous melanomas with gain of CCND1 (6 by CMA and 1 by FISH) were borderline lesions that required genomic analysis for clinical care; all were histologically unambiguous cases for which CCND1 CNV analysis was performed prospectively. In addition, all 7 melanomas with CCND1 gain also had alterations in other loci (most commonly CDKN2A loss, followed by RREB1 gain), and 5 were either thick or metastatic lesions. Even if a melanoma gene panel without CCND1 had been performed, it would have returned a positive result (ie, met the criteria for melanoma) for all 7 cases.

Collectively, our results suggest that gain of CCND1 may occur too late in melanomagenesis to be diagnostically useful in borderline lesions, which are often atypical nevi or early stage melanomas. By the time CCND1 amplification would occur in melanomagenesis, the tumor will have already progressed to a stage at which histopathology, or CNV in a different FISH locus, would suffice. At least in our cohort, it seems that CCND1 amplification is present when least needed and absent when most needed.

Gain of CCND1 in cutaneous melanoma, particularly in borderline lesions, may not be as common as previously reported. The cost of each additional melanoma FISH probe can be significant; thus, the resource should be used efficiently. In our cohort, removing the 11q13 (CCND1) probe would have had no effect on the sensitivity or specificity of CMA or FISH assays for melanoma. CCND1 gene amplification may not be common enough, or occur early enough, in melanomagenesis to warrant routine inclusion of 11q13 probes in genomic analyses for all borderline melanocytic lesions.

ACKNOWLEDGMENTS

The authors acknowledge the support of the Dartmouth Health System’s Laboratory for Clinical Genomics and Advanced Technology in the Department of Pathology and Laboratory Medicine, as well as the Pathology Shared Resource of the Dartmouth Cancer Center with NCI Cancer Center Support Grant 5P30 CA023108-37.

Footnotes

The authors declare no relevant conflicts of interests.

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