乳腺癌的循环 miRNA 特征：MCC-西班牙项目。
Circulating miRNAs signature on breast cancer: the MCC-Spain project.
发表日期：2023 Nov 04
作者：
Inés Gómez-Acebo, Javier Llorca, Jessica Alonso-Molero, Marta Díaz-Martínez, Beatriz Pérez-Gómez, Pilar Amiano, Thalía Belmonte, Antonio J Molina, Rosana Burgui, Gemma Castaño-Vinyals, Víctor Moreno, Ana Molina-Barceló, Rafael Marcos-Gragera, Manolis Kogevinas, Marina Pollán, Trinidad Dierssen-Sotos
来源：
Disease Models & Mechanisms
摘要：
建立结合循环 microRNA (miRNA) 的模型，与未患乳腺癌的对照相比，能够识别患有乳腺癌以及不同类型乳腺癌的女性。miRNA 分析分两个阶段进行：筛选阶段，总 n = 40 （10 个对照和 30 个 BC 病例）通过下一代测序和验证阶段进行分析，其中包括 131 个对照和 269 个病例。对于第二阶段，结合筛选阶段结果和文献修订来选择 miRNA。使用 RT-PCR 对它们进行定量。使用逻辑回归和 LASSO 惩罚建立模型。所有病例的模型均包含 7 个 miRNA（miR-423-3p、miR-139-5p、miR-324-5p、miR-1299、miR-101-3p、miR-186） -5p 和 miR-29a-3p)； ROC 曲线下面积为 0.73。通过筛查诊断的病例模型仅包含一种 miRNA (miR-101-3p)； ROC曲线下面积为0.63。随访中的无病病例模型有 5 个 miRNA（miR-101-3p、miR-186-5p、miR-423-3p、miR-142-3p 和 miR-1299）以及 ROC 下的面积曲线为0.73。最后，随访中患有活动性疾病的病例模型包含 6 个 miRNA（miR-101-3p、miR-423-3p、miR-139-5p、miR-1307-3p、miR-331-3p 和 miR- 21-3p），其 ROC 曲线下面积为 0.82。我们提出了涉及 11 种 miRNA 的四种模型，以区分健康对照和不同类型的 BC 病例。我们的模型与之前报道的模型几乎没有重叠。© 2023。作者。
To build models combining circulating microRNAs (miRNAs) able to identify women with breast cancer as well as different types of breast cancer, when comparing with controls without breast cancer.miRNAs analysis was performed in two phases: screening phase, with a total n = 40 (10 controls and 30 BC cases) analyzed by Next Generation Sequencing, and validation phase, which included 131 controls and 269 cases. For this second phase, the miRNAs were selected combining the screening phase results and a revision of the literature. They were quantified using RT-PCR. Models were built using logistic regression with LASSO penalization.The model for all cases included seven miRNAs (miR-423-3p, miR-139-5p, miR-324-5p, miR-1299, miR-101-3p, miR-186-5p and miR-29a-3p); which had an area under the ROC curve of 0.73. The model for cases diagnosed via screening only took in one miRNA (miR-101-3p); the area under the ROC curve was 0.63. The model for disease-free cases in the follow-up had five miRNAs (miR-101-3p, miR-186-5p, miR-423-3p, miR-142-3p and miR-1299) and the area under the ROC curve was 0.73. Finally, the model for cases with active disease in the follow-up contained six miRNAs (miR-101-3p, miR-423-3p, miR-139-5p, miR-1307-3p, miR-331-3p and miR-21-3p) and its area under the ROC curve was 0.82.We present four models involving eleven miRNAs to differentiate healthy controls from different types of BC cases. Our models scarcely overlap with those previously reported.© 2023. The Author(s).