组织病理学特征（HC）是黑色素瘤预后的主要依据；基因表达谱（GEP）已被认为是潜在的附加独立价值。为阐明HC对通过GEP获得的黑色素瘤组有预测作用，进行了一项回顾性研究，分析了8年来265例黑色素瘤的HC。GEP作为常规临床病理检查的一部分使用了Castle Biosciences Decision Dx®。在265例病例中，HC中与报告的基因表达谱有关的主要因素是黑色素瘤组织学亚型、浸润深度和溃疡的存在。本研究受横断性设计的限制。不能通过此设计确定GEP与美国癌症联合委员会的组织病理分期之间的因果关系和长期相关结果。深度浸润、黑色素瘤亚型和溃疡的组织病理分类与基因表达谱之间存在关联，但无法明确预测。GEP为恶性黑色素瘤的评估添加了宝贵的数据，这是传统模型无法明确预测的。这一发现为传统标记和分子基因分型的比较提供了必要的基础，开始构建一个用于患者恶性黑色素瘤预后改善的强大预测模型。© 2023年，作者，独家授权给Springer Nature Switzerland AG。

Histopathologic characteristics (HC) are a mainstay in melanoma prognosis; gene expression profiling (GEP) has emerged as a potential additional independent value.To elucidate HC predictive of groups obtained via GEP of malignant melanoma.A retrospective study analyzing HC of 265 melanomas submitted for GEP over the course of 8 years. GEP was conducted as a part of regular clinicopathologic workup through Castle Biosciences Decision Dx®.Of the 265 cases, the major HC found to have an association with reported gene expression profiles were melanoma histology subtype, depth of invasion, and presence of ulcer.This study is limited by its cross-sectional nature. Causation and long-term related outcomes of the use of GEP versus American Joint Committee on Cancer histopathologic staging cannot be ascertained by this design.An association, but no definitive prediction, exists between histopathologic categories of depth of invasion, melanoma subtype, and presence or absence of ulcer and gene expression profiles. GEP adds valuable data to the evaluation of malignant melanomas that cannot be definitively predicted by conventional models. The findings add to needed groundwork for comparison of traditional markers and molecular genotyping and begins to build a robust predictive model for better outcomes in patients with malignant melanoma.© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.