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评估头颈部鳞状细胞癌和肺鳞状细胞癌中的 mir-126、mir-182 和 mir-486-5p 表达特征。

Evaluation of the mir-126, mir-182, and mir-486-5p Expression Signature of Head and Neck Squamous Cell Carcinomas and Lung Squamous Cell Carcinomas.

机构信息

Department of Pathology, Erzincan Binali Yildirim University, Mengucek Gazi Training and Research Hospital, ERZINCAN, TURKEY.

出版信息

Turk Patoloji Derg. 2021;37(2):106-114. doi: 10.5146/tjpath.2021.01528.

DOI:10.5146/tjpath.2021.01528
PMID:33973644
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10512682/
Abstract

OBJECTIVE

Although squamous cell carcinomas (SCCs) originating from different anatomic localizations display a similar histological appearance under light microscopy, they may differ in terms of epigenetic and genetic features. The aim of this study was to analyze mir-126, mir-182, and mir-486-5p expression levels in head and neck SCCs and lung SCCs, and to identify localization-specific miRNA expression profiles.

MATERIAL AND METHOD

The expression levels of mir-126, mir-182, and mir-486-5p were analyzed in lung, oral cavity, laryngeal, and hypopharyngeal SCCs in 40 patients, using quantitative real-time polymerase chain reaction.

RESULTS

The findings showed that lung, oral cavity, laryngeal, and hypopharyngeal SCCs have distinct mir-126 and mir-486-5p expression profiles. It was also observed that mir-126 and mir-486-5p expression levels were highly specific to the tumor localization.

CONCLUSION

These findings highlighted that SCCs originating from different anatomic localizations have different miRNA expression profiles. miRNA expression analysis can be used to predict the primary localizations of those SCCs.

摘要

目的

虽然起源于不同解剖部位的鳞状细胞癌(SCC)在光镜下具有相似的组织学表现,但它们在表观遗传和遗传特征上可能存在差异。本研究旨在分析头颈部 SCC 和肺 SCC 中 mir-126、mir-182 和 mir-486-5p 的表达水平,并确定定位特异性 miRNA 表达谱。

材料和方法

采用定量实时聚合酶链反应分析 40 例患者的肺、口腔、喉和下咽 SCC 中 mir-126、mir-182 和 mir-486-5p 的表达水平。

结果

研究结果表明,肺、口腔、喉和下咽 SCC 具有不同的 mir-126 和 mir-486-5p 表达谱。此外,还观察到 mir-126 和 mir-486-5p 的表达水平对肿瘤定位具有高度特异性。

结论

这些发现表明,起源于不同解剖部位的 SCC 具有不同的 miRNA 表达谱。miRNA 表达分析可用于预测那些 SCC 的原发部位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b5/10512682/5000d038694a/TurkPatolojiDerg-37-10603-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b5/10512682/80fb27453bdc/TurkPatolojiDerg-37-10603-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b5/10512682/5000d038694a/TurkPatolojiDerg-37-10603-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b5/10512682/80fb27453bdc/TurkPatolojiDerg-37-10603-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6b5/10512682/5000d038694a/TurkPatolojiDerg-37-10603-g002.jpg

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