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利用 miRNA 作为妇科恶性肿瘤诊断、预后和转移的生物标志物。

Utilization of miRNAs as Biomarkers for the Diagnosis, Prognosis, and Metastasis in Gynecological Malignancies.

机构信息

2nd Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, Vasilissis Sofias 76, 11528 Athens, Greece.

Laboratory of Biology, Department of Basic Medical Sciences, Medical School, National and Kapodistrian University of Athens, Michalakopoulou 176, 11527 Athens, Greece.

出版信息

Int J Mol Sci. 2024 Oct 31;25(21):11703. doi: 10.3390/ijms252111703.

DOI:10.3390/ijms252111703
PMID:39519256
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11546551/
Abstract

Gynecological cancer is a term referring to malignancies that typically involve ovarian, cervical, uterine, vaginal, and vulvar cancer. Combined, these cancers represent major causes of morbidity and mortality in women with a heavy socioeconomic impact. MiRNAs are small non-coding RNAs that are intensively studied in the field of cancer and changes in them have been linked to a variety of processes involved in cancer that range from tumorigenesis to prognosis and metastatic potential. This review aims to summarize the existing literature that has linked miRNAs with each of the female malignancies as potential biomarkers in diagnosis (circulating miRNAs), in tumor histology and prognosis (as tissue biomarkers), and for local (lymph node) and distant metastatic disease.

摘要

妇科癌症是一个术语,指的是通常涉及卵巢癌、宫颈癌、子宫癌、阴道癌和外阴癌的恶性肿瘤。这些癌症加在一起是导致女性发病率和死亡率的主要原因,对社会经济有重大影响。miRNA 是一种小型非编码 RNA,在癌症领域受到广泛研究,其变化与癌症涉及的多种过程有关,从肿瘤发生到预后和转移潜能。本综述旨在总结将 miRNA 与女性恶性肿瘤中的每一种联系起来的现有文献,作为诊断(循环 miRNA)、肿瘤组织学和预后(作为组织生物标志物)以及局部(淋巴结)和远处转移疾病的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/826c/11546551/91a4d3c5ae02/ijms-25-11703-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/826c/11546551/91a4d3c5ae02/ijms-25-11703-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/826c/11546551/91a4d3c5ae02/ijms-25-11703-g001.jpg

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本文引用的文献

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PLOS Glob Public Health. 2024 Mar 15;4(3):e0002554. doi: 10.1371/journal.pgph.0002554. eCollection 2024.
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miTDS: Uncovering miRNA-mRNA interactions with deep learning for functional target prediction.miTDS:利用深度学习揭示 miRNA-mRNA 相互作用,进行功能靶标预测。
Methods. 2024 Mar;223:65-74. doi: 10.1016/j.ymeth.2024.01.011. Epub 2024 Jan 26.
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Role of SLC7A11/xCT in Ovarian Cancer.
SLC7A11/xCT 在卵巢癌中的作用。
Int J Mol Sci. 2024 Jan 2;25(1):587. doi: 10.3390/ijms25010587.
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Synergy of the microRNA Ratio as a Promising Diagnosis Biomarker for Mucinous Borderline and Malignant Ovarian Tumors.miRNA 比值的协同作用作为黏液性交界性和恶性卵巢肿瘤有前途的诊断生物标志物。
Int J Mol Sci. 2023 Nov 6;24(21):16016. doi: 10.3390/ijms242116016.
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Identification of serum miR-1246 and miR-150-5p as novel diagnostic biomarkers for high-grade serous ovarian cancer.鉴定血清 miR-1246 和 miR-150-5p 作为高级别浆液性卵巢癌的新型诊断生物标志物。
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Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta.使用机器学习方法鉴定用于卵巢癌诊断和预测的潜在循环miRNA生物标志物:Boruta的应用
Front Digit Health. 2023 Aug 9;5:1187578. doi: 10.3389/fdgth.2023.1187578. eCollection 2023.
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miRNAs: Potential as Biomarkers and Therapeutic Targets for Cancer.miRNAs:癌症的潜在生物标志物和治疗靶点。
Genes (Basel). 2023 Jun 29;14(7):1375. doi: 10.3390/genes14071375.
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