Hsa-let-7c-5p, hsa-miR-130b-3p, and hsa-miR-142-3p as Novel miRNA Biomarkers for Melanoma Progression.

IF 1.4 4区 生物学 Q4 GENETICS & HEREDITY
Genetics research Pub Date : 2022-07-07 eCollection Date: 2022-01-01 DOI:10.1155/2022/5671562
Xuerui Wu, Yu Wang, Chen Chen, Yadong Xue, Shuyun Zheng, Limin Cai
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引用次数: 3

Abstract

This study aimed to screen miRNA biomarkers for melanoma progression. Raw melanoma data were downloaded from the Gene Expression Omnibus (GSE34460, GSE35579, GSE18509, and GSE24996) and the Cancer Genome Atlas (TCGA). Then, all differentially expressed miRNAs (DEmiRNAs) between benign vs. primary, metastatic vs. benign, and metastatic vs. primary groups were obtained in the GSE34460 and GSE35579 datasets, and the miRNAs related to disease progression were further screened. Then, the miRNA-gene network was constructed, followed by enrichment, survival, and cluster analyses. Differentially expressed genes (DEGs), tumor-infiltrating immune cells, and tumor mutation burden (TMB) between subtypes were analyzed. miRNAs were verified in the GSE18509 and GSE24996 datasets. A total of 132 and 209 DEmiRNAs were obtained in the GSE34460 and GSE35579 datasets, respectively, and 27 DEmiRNAs related to disease progression were screened. hsa-miR-106b-5p, hsa-miR-27b-3p, and hsa-miR-141-3p had a higher degree and were regulated by numerous genes in the miRNA-gene network. Moreover, four miRNAs were associated with prognosis: hsa-let-7c-5p, hsa-miR-130b-3p, hsa-miR-142-3p, and hsa-miR-509-3p. Furthermore, the bidirectional hierarchical clustering of 27 miRNAs was classified into three subtypes, and TMB and four types of immune cells, including activated dendritic cells, naïve CD4 T cells, M1 macrophages, and plasma cells, showed significant differences among the three subtypes. The expression levels of most miRNAs in the GSE18509 and GSE24996 datasets were consistent with those in the training dataset. These miRNAs, including hsa-let-7c-5p, hsa-miR-130b-3p, and hsa-miR-142-3p, and activated dendritic cells, naïve CD4 T cells, M1 macrophages, and plasma cells may play vital roles in the pathogenesis of melanoma.

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Hsa-let-7c-5p, hsa-miR-130b-3p和hsa-miR-142-3p作为黑色素瘤进展的新型miRNA生物标志物
本研究旨在筛选黑色素瘤进展的miRNA生物标志物。原始黑色素瘤数据从基因表达Omnibus (GSE34460、GSE35579、GSE18509和GSE24996)和癌症基因组图谱(TCGA)下载。然后,在GSE34460和GSE35579数据集中获得良性组与原发性组、转移性组与良性组、转移性组与原发性组之间的所有差异表达miRNAs (DEmiRNAs),并进一步筛选与疾病进展相关的miRNAs。然后,构建mirna基因网络,随后进行富集、存活和聚类分析。分析不同亚型之间的差异表达基因(DEGs)、肿瘤浸润免疫细胞和肿瘤突变负荷(TMB)。在GSE18509和GSE24996数据集中验证了mirna。在GSE34460和GSE35579数据集中分别获得了132和209个demirna,并筛选了27个与疾病进展相关的demirna。hsa-miR-106b-5p、hsa-miR-27b-3p和hsa-miR-141-3p的表达程度较高,受mirna基因网络中众多基因的调控。此外,四种mirna与预后相关:hsa-let-7c-5p、hsa-miR-130b-3p、hsa-miR-142-3p和hsa-miR-509-3p。此外,27个mirna的双向分层聚类被划分为3个亚型,TMB与活化树突状细胞、naïve CD4 T细胞、M1巨噬细胞、浆细胞等4种免疫细胞在3个亚型之间存在显著差异。GSE18509和GSE24996数据集中大多数mirna的表达水平与训练数据集中一致。这些mirna包括hsa-let-7c-5p、hsa-miR-130b-3p和hsa-miR-142-3p,以及活化的树突状细胞、naïve CD4 T细胞、M1巨噬细胞和浆细胞可能在黑色素瘤的发病过程中发挥重要作用。
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来源期刊
Genetics research
Genetics research 生物-遗传学
自引率
6.70%
发文量
74
审稿时长
>12 weeks
期刊介绍: Genetics Research is a key forum for original research on all aspects of human and animal genetics, reporting key findings on genomes, genes, mutations and molecular interactions, extending out to developmental, evolutionary, and population genetics as well as ethical, legal and social aspects. Our aim is to lead to a better understanding of genetic processes in health and disease. The journal focuses on the use of new technologies, such as next generation sequencing together with bioinformatics analysis, to produce increasingly detailed views of how genes function in tissues and how these genes perform, individually or collectively, in normal development and disease aetiology. The journal publishes original work, review articles, short papers, computational studies, and novel methods and techniques in research covering humans and well-established genetic organisms. Key subject areas include medical genetics, genomics, human evolutionary and population genetics, bioinformatics, genetics of complex traits, molecular and developmental genetics, Evo-Devo, quantitative and statistical genetics, behavioural genetics and environmental genetics. The breadth and quality of research make the journal an invaluable resource for medical geneticists, molecular biologists, bioinformaticians and researchers involved in genetic basis of diseases, evolutionary and developmental studies.
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