Suppr超能文献

mTOR 信号在 NSCLC 中的意义:机制与治疗展望。

Implication of mTOR Signaling in NSCLC: Mechanisms and Therapeutic Perspectives.

机构信息

Department of Biopathology, 'Eginition' Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece.

First University Department of Respiratory Medicine, 'Sotiria' Hospital, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece.

出版信息

Cells. 2023 Aug 7;12(15):2014. doi: 10.3390/cells12152014.

Abstract

Mechanistic target of the rapamycin (mTOR) signaling pathway represents a central cellular kinase that controls cell survival and metabolism. Increased mTOR activation, along with upregulation of respective upstream and downstream signaling components, have been established as oncogenic features in cancer cells in various tumor types. Nevertheless, mTOR pathway therapeutic targeting has been proven to be quite challenging in various clinical settings. Non-small cell lung cancer (NSCLC) is a frequent type of solid tumor in both genders, where aberrant regulation of the mTOR pathway contributes to the development of oncogenesis, apoptosis resistance, angiogenesis, cancer progression, and metastasis. In this context, the outcome of mTOR pathway targeting in clinical trials still demonstrates unsatisfactory results. Herewith, we discuss recent findings regarding the mechanisms and therapeutic targeting of mTOR signaling networks in NSCLC, as well as future perspectives for the efficient application of treatments against mTOR and related protein molecules.

摘要

雷帕霉素(mTOR)信号通路的作用靶点是一种控制细胞存活和代谢的中央细胞激酶。在各种肿瘤类型的癌细胞中,mTOR 的过度激活以及相应的上游和下游信号成分的上调已被确定为致癌特征。然而,mTOR 通路的治疗靶向在各种临床环境中被证明是相当具有挑战性的。非小细胞肺癌(NSCLC)是两性中常见的实体肿瘤类型,mTOR 通路的异常调节导致致癌、凋亡抵抗、血管生成、癌症进展和转移的发生。在这种情况下,mTOR 通路靶向治疗在临床试验中的结果仍然不理想。在此,我们讨论了关于 NSCLC 中 mTOR 信号网络的机制和治疗靶向的最新发现,以及针对 mTOR 和相关蛋白分子的有效治疗应用的未来前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb6f/10416991/023bda560533/cells-12-02014-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验