微小RNA表达谱通过分化模式分离鳞状细胞癌。

Andani Marumo, Adam Botha, Julitha Molepo, Henry Adeola, Pumza Samantha Maganagane, Mulalo Molaudzi
{"title":"微小RNA表达谱通过分化模式分离鳞状细胞癌。","authors":"Andani Marumo,&nbsp;Adam Botha,&nbsp;Julitha Molepo,&nbsp;Henry Adeola,&nbsp;Pumza Samantha Maganagane,&nbsp;Mulalo Molaudzi","doi":"10.2174/2211536612666230418103004","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Squamous cell carcinoma (SCC) is a non-melanoma skin cancer with several risk factors including age and sun exposure. The degree of histological differentiation is considered an independent predictor of recurrence, metastasis, and survival. MicroRNAs (miRNAs) are small non-coding RNAs that play an important role in regulating gene expression, culminating in the initiation and progression of multiple tumors. The aim of this study was to determine changes in miRNA expression as a result of the mode of differentiation in SCC.</p><p><strong>Methods: </strong>We analyzed 29 SCC samples that were separated by mode of differentiation into well (n=4), moderate (n=20) and poor (n=5). Of the 29 samples, five had matched normal tissues, which were used as controls. Total RNA was extracted using the RNeasy FFPE kit, and miRNAs were quantified using Qiagen MiRCURY LNA miRNA PCR Assays. Ten miRNAs (hsa-miR-21, hsa-miR-146b-3p, hsa-miR-155-5p, hsa-miR-451a, hsa-miR-196-5p, hsa-miR-221-5p, hsa-miR-375, hsa-miR-205-5p, hsa-let-7d-5p and hsa-miR-491-5p) that have been previously differentiated in cancer, were quantified. A fold regulation above 1 indicated upregulation and below 1, downregulation.</p><p><strong>Results: </strong>Hierarchical clustering showed that the miRNA expression profile in the moderately differentiated group was similar to the well-differentiated group. The miRNA with the greatest upregulation in the moderate group was hsa-miR-375, while in the well group, hsa-miR-491-5p showed the greatest downregulation.</p><p><strong>Conclusion: </strong>In conclusion, this study observed that the well and moderate groups had similar microRNA expression patterns compared to the poorly differentiated group. MicroRNA expression profiling may be used to better understand the factors underpinning mode of differentiation in SCC.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MicroRNA Expression Profile Separates Squamous Cell Carcinoma by Mode of Differentiation.\",\"authors\":\"Andani Marumo,&nbsp;Adam Botha,&nbsp;Julitha Molepo,&nbsp;Henry Adeola,&nbsp;Pumza Samantha Maganagane,&nbsp;Mulalo Molaudzi\",\"doi\":\"10.2174/2211536612666230418103004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Squamous cell carcinoma (SCC) is a non-melanoma skin cancer with several risk factors including age and sun exposure. The degree of histological differentiation is considered an independent predictor of recurrence, metastasis, and survival. MicroRNAs (miRNAs) are small non-coding RNAs that play an important role in regulating gene expression, culminating in the initiation and progression of multiple tumors. The aim of this study was to determine changes in miRNA expression as a result of the mode of differentiation in SCC.</p><p><strong>Methods: </strong>We analyzed 29 SCC samples that were separated by mode of differentiation into well (n=4), moderate (n=20) and poor (n=5). Of the 29 samples, five had matched normal tissues, which were used as controls. Total RNA was extracted using the RNeasy FFPE kit, and miRNAs were quantified using Qiagen MiRCURY LNA miRNA PCR Assays. Ten miRNAs (hsa-miR-21, hsa-miR-146b-3p, hsa-miR-155-5p, hsa-miR-451a, hsa-miR-196-5p, hsa-miR-221-5p, hsa-miR-375, hsa-miR-205-5p, hsa-let-7d-5p and hsa-miR-491-5p) that have been previously differentiated in cancer, were quantified. A fold regulation above 1 indicated upregulation and below 1, downregulation.</p><p><strong>Results: </strong>Hierarchical clustering showed that the miRNA expression profile in the moderately differentiated group was similar to the well-differentiated group. The miRNA with the greatest upregulation in the moderate group was hsa-miR-375, while in the well group, hsa-miR-491-5p showed the greatest downregulation.</p><p><strong>Conclusion: </strong>In conclusion, this study observed that the well and moderate groups had similar microRNA expression patterns compared to the poorly differentiated group. MicroRNA expression profiling may be used to better understand the factors underpinning mode of differentiation in SCC.</p>\",\"PeriodicalId\":38067,\"journal\":{\"name\":\"MicroRNA (Shariqah, United Arab Emirates)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MicroRNA (Shariqah, United Arab Emirates)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/2211536612666230418103004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MicroRNA (Shariqah, United Arab Emirates)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2211536612666230418103004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:鳞状细胞癌(SCC)是一种癌症,有多种危险因素,包括年龄和日晒。组织学分化程度被认为是复发、转移和生存的独立预测因素。微小RNA(miRNA)是一种小型非编码RNA,在调节基因表达中发挥重要作用,最终导致多发性肿瘤的发生和发展。本研究的目的是确定SCC分化模式导致的miRNA表达的变化。方法:我们分析了29个SCC样本,这些样本按分化模式分为良(n=4)、中(n=20)和差(n=5)。在29个样本中,有5个样本与正常组织匹配,作为对照。使用RNeasy FFPE试剂盒提取总RNA,并使用Qiagen MiRCURY LNA miRNA PCR分析对miRNA进行定量。对先前在癌症中分化的10种miRNA(hsa-miR-21、hsa-miR-146b-3p、hsa-iR-155-5p、hsa-miR-451a、hsa--miR-196-5p、hsa-miR-221-5p、hsa-1miR-375、hsa-miR-205-5p、hsa-let-7d-5p和hsa-miR-491-5p)进行定量。倍数调节高于1表示上调,低于1表示下调。结果:分层聚类显示,中分化组和高分化组的miRNA表达谱相似。中度组中上调最大的miRNA是hsa-miR-375,而在正常组中,hsa-miR-491-5p表现出最大的下调。结论:总之,本研究观察到,与低分化组相比,高分化组和中分化组具有相似的微小RNA表达模式。微RNA表达谱可用于更好地了解SCC分化模式的基础因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MicroRNA Expression Profile Separates Squamous Cell Carcinoma by Mode of Differentiation.

Background: Squamous cell carcinoma (SCC) is a non-melanoma skin cancer with several risk factors including age and sun exposure. The degree of histological differentiation is considered an independent predictor of recurrence, metastasis, and survival. MicroRNAs (miRNAs) are small non-coding RNAs that play an important role in regulating gene expression, culminating in the initiation and progression of multiple tumors. The aim of this study was to determine changes in miRNA expression as a result of the mode of differentiation in SCC.

Methods: We analyzed 29 SCC samples that were separated by mode of differentiation into well (n=4), moderate (n=20) and poor (n=5). Of the 29 samples, five had matched normal tissues, which were used as controls. Total RNA was extracted using the RNeasy FFPE kit, and miRNAs were quantified using Qiagen MiRCURY LNA miRNA PCR Assays. Ten miRNAs (hsa-miR-21, hsa-miR-146b-3p, hsa-miR-155-5p, hsa-miR-451a, hsa-miR-196-5p, hsa-miR-221-5p, hsa-miR-375, hsa-miR-205-5p, hsa-let-7d-5p and hsa-miR-491-5p) that have been previously differentiated in cancer, were quantified. A fold regulation above 1 indicated upregulation and below 1, downregulation.

Results: Hierarchical clustering showed that the miRNA expression profile in the moderately differentiated group was similar to the well-differentiated group. The miRNA with the greatest upregulation in the moderate group was hsa-miR-375, while in the well group, hsa-miR-491-5p showed the greatest downregulation.

Conclusion: In conclusion, this study observed that the well and moderate groups had similar microRNA expression patterns compared to the poorly differentiated group. MicroRNA expression profiling may be used to better understand the factors underpinning mode of differentiation in SCC.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
30
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信