Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
German Cancer Consortium (DKTK), Heidelberg, Germany.
Int J Cancer. 2022 Nov 1;151(9):1542-1554. doi: 10.1002/ijc.34187. Epub 2022 Jul 11.
Accurate classification of melanocytic tumors is important for prognostic evaluation, treatment and follow-up protocols of patients. The majority of melanocytic proliferations can be classified solely based on clinical and pathological criteria, however in select cases a definitive diagnostic assessment remains challenging and additional diagnostic biomarkers would be advantageous. We analyzed melanomas, nevi, Spitz nevi and atypical spitzoid tumors using parallel sequencing (exons of 611 genes and 507 gene translocation analysis) and methylation arrays (850k Illumina EPIC). By combining detailed genetic and epigenetic analysis with reference-based and reference-free DNA methylome deconvolution we compared Spitz nevi to nevi and melanoma and assessed the potential for these methods in classifying challenging spitzoid tumors. Results were correlated with clinical and histologic features. Spitz nevi were found to cluster independently of nevi and melanoma and demonstrated a different mutation profile. Multiple copy number alterations and TERT promoter mutations were identified only in melanomas. Genome-wide methylation in Spitz nevi was comparable to benign nevi while the Leukocytes UnMethylation for Purity (LUMP) algorithm in Spitz nevi was comparable to melanoma. Histologically difficult to classify Spitz tumor cases were assessed which, based on methylation arrays, clustered between Spitz nevi and melanoma and in terms of genetic profile or copy number variations demonstrated worrisome features suggesting a malignant neoplasm. Comprehensive sequencing and methylation analysis verify Spitz nevi as an independent melanocytic entity distinct from both nevi and melanoma. Combined genetic and methylation assays can offer additional insights in diagnosing difficult to classify Spitzoid tumors.
准确的黑素细胞肿瘤分类对于患者的预后评估、治疗和随访方案非常重要。大多数黑素细胞增生仅基于临床和病理标准即可分类,但在某些情况下,明确的诊断评估仍然具有挑战性,并且需要额外的诊断生物标志物。我们使用平行测序(611 个基因和 507 个基因易位分析的外显子)和甲基化阵列(850kIlluminaEPIC)分析了黑素瘤、痣、Spitz 痣和非典型 Spitz 样肿瘤。通过将详细的遗传和表观遗传分析与基于参考和无参考的 DNA 甲基组去卷积相结合,我们将 Spitz 痣与痣和黑色素瘤进行了比较,并评估了这些方法在分类具有挑战性的 Spitz 样肿瘤中的潜力。结果与临床和组织学特征相关。Spitz 痣独立于痣和黑色素瘤聚类,并表现出不同的突变谱。只有黑色素瘤中发现了多个拷贝数改变和 TERT 启动子突变。Spitz 痣的全基因组甲基化与良性痣相似,而 Spitz 痣中的白细胞去甲基化纯度(LUMP)算法与黑色素瘤相似。评估了组织学上难以分类的 Spitz 肿瘤病例,根据甲基化阵列,这些病例在 Spitz 痣和黑色素瘤之间聚类,并且在遗传谱或拷贝数变异方面表现出令人担忧的特征,提示为恶性肿瘤。综合测序和甲基化分析证实 Spitz 痣是一种独立的黑素细胞实体,与痣和黑色素瘤均不同。遗传和甲基化联合检测可以为诊断具有挑战性的 Spitz 样肿瘤提供更多的见解。