Department of Pathology, Yale University Medical School, New Haven, CT 06520, USA.
Lab Invest. 2012 Oct;92(10):1390-7. doi: 10.1038/labinvest.2012.119. Epub 2012 Aug 13.
Oncogenic and tumor suppressing microRNAs (miRNAs) have emerged as key regulators of gene expression in many types of cancer including melanoma. We utilized quantitative in situ hybridization (qISH) to evaluate the tumor suppressing properties of miRNA, miR-205 in a population of human tumors. We hypothesize decreased miR-205 would be associated with more aggressive tumors. Multiplexing miR-205 qISH with immunofluorescent assessment of S100/GP100 allowed us to quantitatively evaluate miR-205 expression using the AQUA method of quantitative immunofluorescence. The specificity of the assay was validated using blocking oligos and transfected cell lines as controls. Outcomes were assessed on the Yale Melanoma Discovery Cohort consisting of 105 primary melanoma specimens and validated on an independent set of 206 primary melanomas (Yale Melanoma Validation Cohort). Measurement of melanoma cell miR-205 levels shows a significantly shorter melanoma-specific survival in patients with low expression. Multivariate analysis shows miR-205 levels are significantly independent of stage, age, gender, and Breslow depth. Low levels of melanoma cell miR-205 expression as quantified by ISH show worse outcome, supporting the role of miR-205 as a tumor suppressor miRNA. The quantification of miR-205 in situ suggests potential for the use of miRNAs in future prognostic or predictive models.
致癌和肿瘤抑制 microRNAs(miRNAs)已成为包括黑色素瘤在内的许多类型癌症中基因表达的关键调节剂。我们利用定量原位杂交(qISH)技术来评估 miRNA 中的肿瘤抑制特性,miR-205 在人类肿瘤群体中的作用。我们假设 miR-205 的减少与更具侵袭性的肿瘤有关。miR-205 qISH 与 S100/GP100 的免疫荧光评估的多重化,使我们能够使用定量免疫荧光的 AQUA 方法定量评估 miR-205 的表达。该测定的特异性通过使用阻断寡核苷酸和转染细胞系作为对照来验证。结果在由 105 例原发性黑色素瘤标本组成的耶鲁黑色素瘤发现队列中进行评估,并在 206 例原发性黑色素瘤的独立队列(耶鲁黑色素瘤验证队列)中进行验证。黑色素瘤细胞 miR-205 水平的测量显示,低表达患者的黑色素瘤特异性生存率明显缩短。多变量分析显示,miR-205 水平与分期、年龄、性别和 Breslow 深度无关。ISH 定量检测黑色素瘤细胞 miR-205 表达水平较低提示预后不良,支持 miR-205 作为肿瘤抑制 miRNA 的作用。miR-205 的原位定量提示了 miRNA 在未来预后或预测模型中的应用潜力。