Suppr超能文献

长链非编码 RNA 作为乳腺癌系统治疗耐药性的新主控调节剂。

Long Non-Coding RNAs as New Master Regulators of Resistance to Systemic Treatments in Breast Cancer.

机构信息

Laboratorio de Genómica, Instituto Nacional de Cancerología (INCan), Av. San Fernando 22, Col. Sección XVI, Tlalpan, C.P. 14080 Ciudad de México, Mexico.

Unidad de Biomedicina, FES-IZTACALA, Universidad Nacional Autónoma de México (UNAM), Av. De Los Barrios 1. Col. Los Reyes Iztacala, C.P. 54090 Tlalnepantla, Mexico.

出版信息

Int J Mol Sci. 2018 Sep 11;19(9):2711. doi: 10.3390/ijms19092711.

Abstract

Predicting response to systemic treatments in breast cancer (BC) patients is an urgent, yet still unattained health aim. Easily detectable molecules such as long non-coding RNAs (lncRNAs) are the ideal biomarkers when they act as master regulators of many resistance mechanisms, or of mechanisms that are common to more than one treatment. These kinds of markers are pivotal in quasi-personalized treatment selection, and consequently, in improvement of outcome prediction. In order to provide a better approach to understanding development of disease and resistance to treatments, we reviewed current literature searching for lncRNA-associated systemic BC treatments including endocrine therapies, aromatase inhibitors, selective estrogen receptor modulators (SERMs), trastuzumab, paclitaxel, docetaxel, 5-fluorouracil (5-FU), anthracyclines, and cisplatin. We found that the engagement of lncRNAs in resistance is well described, and that lncRNAs such as urotelial carcinoma-associated 1 (UCA1) and regulator of reprogramming (ROR) are indeed involved in multiple resistance mechanisms, which offers tantalizing perspectives for wide usage of lncRNAs as treatment resistance biomarkers. Thus, we propose this work as the foundation for a wide landscape of functions and mechanisms that link more lncRNAs to resistance to current and new treatments in years of research to come.

摘要

预测乳腺癌 (BC) 患者对全身治疗的反应是一个紧迫但尚未实现的健康目标。长链非编码 RNA (lncRNA) 等易于检测的分子是理想的生物标志物,因为它们可以作为许多耐药机制或多种治疗方法共有的机制的主要调节剂。这些类型的标志物在准个性化治疗选择中至关重要,从而改善了预后预测。为了提供一种更好的方法来理解疾病的发展和对治疗的耐药性,我们回顾了当前的文献,寻找与包括内分泌治疗、芳香酶抑制剂、选择性雌激素受体调节剂 (SERMs)、曲妥珠单抗、紫杉醇、多西紫杉醇、5-氟尿嘧啶 (5-FU)、蒽环类药物和顺铂在内的全身 BC 治疗相关的 lncRNA。我们发现,lncRNA 参与耐药性的机制已经得到了很好的描述,并且像尿路上皮癌相关 1 (UCA1) 和重编程调节因子 (ROR) 这样的 lncRNA 确实参与了多种耐药机制,这为广泛使用 lncRNA 作为治疗耐药性生物标志物提供了诱人的前景。因此,我们建议将这项工作作为未来多年研究中连接更多 lncRNA 与当前和新治疗方法耐药性的功能和机制的广泛研究基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/038c/6164317/4c06b94ec5b3/ijms-19-02711-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验