Subtype performance of the ancillary diagnostic 23- and 35-gene expression profile (GEP) tests for difficult-to-diagnose melanocytic lesions

J. Plaza, Sarah I. Estrada, B. Russell, J. Siegel, Jason Rogers, J. Wilkinson, S. Kurley, M. Goldberg, K. Motaparthi
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Abstract

Background: Histopathological examination is adequate for most melanocytic neoplasms; however, there is a subset of lesions that are difficult to diagnose. The 23- and 35-gene expression profile (GEP) tests deliver results of suggestive of benign neoplasm, suggestive of malignant neoplasm, or intermediate (cannot exclude malignancy). They are intended to provide clinicians with objective results to be interpreted in the context of clinical, laboratory, and histopathological features to achieve a definitive diagnosis. Both GEPs are stand-alone tests that are independently validated and clinically available. Greater than 99% benign or malignant reporting is achieved clinically when the 23-GEP test is processed first, and if an intermediate result or test failure occurs, the 35-GEP is utilized. Methods: The performance of the 23- and 35-GEP tests using this methodology was tested on unequivocal cases from a variety of subtypes (101 benign, 249 malignant). Lesions were included if 2/3 dermatopathologist diagnoses were concordant. Subtype designation was determined by the dermatopathologist that submitted the lesion for the study. Results: The overall accuracy metrics in this cohort were 96.0% sensitivity and 87.8% specificity. The results demonstrated 100% sensitivity in several melanoma subtypes including acral lentiginous (n=15), desmoplastic (n=20), melanoma in situ (n=16), and nevoid (n=16). Other melanoma subtypes showed sensitivity metrics of: lentigo maligna, 96.7% (n=31); nodular, 95.1% (n=81); superficial spreading, 97.7% (n=42); and spitzoid, 85.0% (n=20). Subtypes of benign nevi showed a specificity of: blue, 96.7% (n=30); compound, 85.7% (n=42); junctional, 77.8% (n=18); and Spitz, 100% (n=7). Conclusions: Overall, we demonstrate that use of the 23- and 35-GEP diagnostic test workflow results in high accuracy across many subtypes of benign and malignant melanocytic neoplasms. Financial Disclosures: JAP has served as a consultant for Castle Biosciences, Inc. SIE is a consultant and shareholder of Castle Biosciences, Inc. BHR, JJS, JHR, JKW, SJK, and MSG are employee shareholders of Castle Biosciences, Inc. KM has served as a consultant and investigator for studies supported by Castle Biosciences, Inc. This study was supported by Castle Biosciences, Inc.
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辅助诊断23和35基因表达谱(GEP)测试对难以诊断的黑色素细胞病变的亚型表现
背景:组织病理学检查对大多数黑色素细胞肿瘤是足够的;然而,有一部分病变很难诊断。23和35基因表达谱(GEP)测试提供了提示良性肿瘤、提示恶性肿瘤或中间(不能排除恶性肿瘤)的结果。它们旨在为临床医生提供客观的结果,以便在临床、实验室和组织病理学特征的背景下进行解释,以实现最终诊断。两种GEP都是独立测试,经过独立验证并可在临床上使用。当首先处理23-GEP测试时,临床上达到99%以上的良性或恶性报告,如果出现中间结果或测试失败,则使用35-GEP。方法:使用该方法对各种亚型(101例良性,249例恶性)的明确病例进行23和35-GEP测试。如果2/3的皮肤病理学家诊断一致,则包括病变。亚型指定由提交病变进行研究的皮肤病理学家确定。结果:该队列的总体准确度指标为96.0%的敏感性和87.8%的特异性。结果表明,几种黑色素瘤亚型的敏感性为100%,包括肢端雀斑样(n=15)、促结缔组织增生性(n=20)、原位黑色素瘤(n=16)和痣样(n=16。其他黑色素瘤亚型的敏感性指标为:恶性扁豆,96.7%(n=31);结节性占95.1%(n=81);浅表铺展97.7%(n=42);斯皮唑类占85.0%(n=20)。良性痣的亚型特异性为:蓝色,96.7%(n=30);化合物85.7%(n=42);交界型占77.8%(n=18);Spitz为100%(n=7)。结论:总的来说,我们证明使用23和35-GEP诊断测试工作流程在许多良性和恶性黑色素细胞肿瘤亚型中具有较高的准确性。财务披露:JAP曾担任Castle Biosciences,股份有限公司的顾问。SIE是Castle Biosciences,股份有限公司的顾问和股东。BHR、JJS、JHR、JKW、SJK和MSG是Castle生物科学,股份有限公司的员工股东。
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