Translation of a circulating miRNA signature of melanoma into a solid tissue assay to improve diagnostic accuracy and precision
| Autor: | Anthony Landgren, Sian Fereday, Ingrid Winship, Samuel King, Ryan van Laar, Mirette Saad, Richard McCoy, Catherine Uzzell |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Oncology medicine.medical_specialty Skin Neoplasms Multivariate analysis Clinical Biochemistry Malignancy Sensitivity and Specificity Diagnosis Differential 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine Internal medicine Drug Discovery medicine Humans Stage (cooking) Melanoma Nevus Translational Science Biomedical business.industry Gene Expression Profiling Biochemistry (medical) Reproducibility of Results Cancer Middle Aged medicine.disease Gene Expression Regulation Neoplastic MicroRNAs Molecular Diagnostic Techniques 030220 oncology & carcinogenesis Cutaneous melanoma Biomarker (medicine) Female Skin cancer business |
| Zdroj: | Biomarkers in Medicine. 15:1111-1122 |
| ISSN: | 1752-0371 1752-0363 |
| DOI: | 10.2217/bmm-2021-0289 |
| Popis: | Aim: 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. Patients & methods: Nanostring digital gene expression assessment of the MEL38 signature was performed on 308 formalin-fixed paraffin-embedded biopsies of nevi, melanoma in situ 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. Results: 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 |
| Databáze: | OpenAIRE |
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