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将黑色素瘤的循环 miRNA 特征转化为实体组织检测,以提高诊断的准确性和精确性。

Translation of a circulating miRNA signature of melanoma into a solid tissue assay to improve diagnostic accuracy and precision.

机构信息

Geneseq Biosciences, 555 St Kilda Road, Melbourne, Victoria, 3004, Australia.

Australian Clinical Labs, 1868 Dandenong Road, Clayton, Victoria, 3168, Australia.

出版信息

Biomark Med. 2021 Sep;15(13):1111-1122. doi: 10.2217/bmm-2021-0289. Epub 2021 Jun 29.

Abstract

Successful treatment of cutaneous melanoma depends on early and accurate diagnosis of clinically suspicious melanocytic skin lesions. Multiple international studies have described the challenge of providing accurate and reproducible histopathological assessments of melanocytic lesions, highlighting the need for new diagnostic tools including disease-specific biomarkers. Previously, a 38-miRNA signature (MEL38) was identified in melanoma patient plasma and validated as a novel biomarker. In this study, MEL38 expression in solid tissue biopsies representing the benign nevi to metastatic melanoma spectrum is examined. Nanostring digital gene expression assessment of the MEL38 signature was performed on 308 formalin-fixed paraffin-embedded biopsies of nevi, melanoma and invasive melanoma. Genomic data were interrogated using hierarchical clustering, univariate and multivariate statistical approaches. Classification scores computed from the MEL38 signature were analyzed for their association with demographic data and histopathology results, including MPATH-DX class, AJCC disease stage and tissue subtype. The MEL38 score can stratify higher-risk melanomas (MPATH-Dx class V or more advanced) from lower-risk skin lesions (class I-IV) with an area under the curve of 0.97 (p < 0.001). The genomic score ranges from 0 to 10 and is positively correlated with melanoma progression, with an intraclass correlation coefficient of 0.85 with stage 0-IV disease. Using an optimized classification threshold of ≥2.7 accurately identifies higher-risk melanomas with 89% sensitivity and 94% specificity. Multivariate analysis showed the score to be a significant predictor of malignancy, independent of technical and clinical covariates. Application of the MEL38 signature to Spitz nevi reveals an intrasubtype profile, with elements in common to both nevi and melanoma. Melanoma-specific circulating miRNAs maintain their association with malignancy when measured in the hypothesized tissue of origin. The MEL38 signature is an accurate and reproducible metric of melanoma status, based on changes in miRNA expression that occur as the disease develops and spreads. Inclusion of the MEL38 score into routine practice would provide physicians with previously unavailable, personalized genomic information about their patient's skin lesions. Combining molecular biomarker data with conventional histopathology data may improve diagnostic accuracy, healthcare resource utilization and patient outcomes.

摘要

皮肤黑色素瘤的成功治疗取决于对临床上可疑的黑色素细胞皮肤病变的早期和准确诊断。多项国际研究描述了提供黑色素细胞病变准确和可重复的组织病理学评估所面临的挑战,突出了对新的诊断工具的需求,包括疾病特异性生物标志物。先前,在黑色素瘤患者的血浆中鉴定了一个 38 个 miRNA 特征(MEL38),并将其验证为一种新的生物标志物。在这项研究中,研究了代表良性痣到转移性黑色素瘤谱的实体组织活检中的 MEL38 表达。对 308 例福尔马林固定石蜡包埋的痣、黑色素瘤和侵袭性黑色素瘤活检进行了 Nanostring 数字基因表达评估。使用层次聚类、单变量和多变量统计方法对基因组数据进行了分析。从 MEL38 特征计算的分类评分分析了其与人口统计学数据和组织病理学结果的关联,包括 MPATH-DX 分类、AJCC 疾病分期和组织亚型。MEL38 评分可以将高风险黑色素瘤(MPATH-Dx 分类 V 或更高级别)与低风险病变(分类 I-IV)区分开来,曲线下面积为 0.97(p<0.001)。基因组评分范围为 0 到 10,与黑色素瘤进展呈正相关,与 0-IV 期疾病的组内相关系数为 0.85。使用优化的分类阈值≥2.7 可以准确识别高风险黑色素瘤,灵敏度为 89%,特异性为 94%。多变量分析表明,该评分是恶性肿瘤的一个显著预测因子,独立于技术和临床协变量。将 MEL38 特征应用于 Spitz 痣显示出一种亚组内的特征,其中包括痣和黑色素瘤共有的元素。在假设的组织起源中测量时,黑色素瘤特异性循环 miRNA 仍然与其恶性相关。MEL38 特征是一种基于疾病发展和扩散时 miRNA 表达变化的黑色素瘤状态的准确和可重复的度量。将 MEL38 评分纳入常规实践将为医生提供他们患者皮肤病变以前无法获得的个性化基因组信息。将分子生物标志物数据与常规组织病理学数据相结合可能会提高诊断准确性、医疗资源利用和患者预后。

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