Alsharoh Hasan, Chiroi Paul, Isachesku Ekaterina, Tanasa Radu Andrei, Pop Ovidiu-Laurean, Pirlog Radu, Berindan-Neagoe Ioana
Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania.
Panomics, Inc., 228 Park Ave S, PMB 22322, New York, NY 10003, USA.
Biomedicines. 2024 Jul 5;12(7):1489. doi: 10.3390/biomedicines12071489.
Lung cancer (LC) is a highly invasive malignancy and the leading cause of cancer-related deaths, with non-small cell lung cancer (NSCLC) as its most prevalent histological subtype. Despite all breakthroughs achieved in drug development, the prognosis of NSCLC remains poor. The mitogen-activated protein kinase signaling cascade (MAPKC) is a complex network of interacting molecules that can drive oncogenesis, cancer progression, and drug resistance when dysregulated. Over the past decades, MAPKC components have been used to design MAPKC inhibitors (MAPKCIs), which have shown varying efficacy in treating NSCLC. Thus, recent studies support the potential clinical use of MAPKCIs, especially in combination with other therapeutic approaches. This article provides an overview of the MAPKC and its inhibitors in the clinical management of NSCLC. It addresses the gaps in the current literature on different combinations of selective inhibitors while suggesting two particular therapy approaches to be researched in NSCLC: parallel and aggregate targeting of the MAPKC. This work also provides suggestions that could serve as a potential guideline to aid future research in MAPKCIs to optimize clinical outcomes in NSCLC.
肺癌(LC)是一种具有高度侵袭性的恶性肿瘤,也是癌症相关死亡的主要原因,其中非小细胞肺癌(NSCLC)是最常见的组织学亚型。尽管在药物研发方面取得了诸多突破,但NSCLC的预后仍然很差。丝裂原活化蛋白激酶信号级联反应(MAPKC)是一个由相互作用分子组成的复杂网络,当失调时可驱动肿瘤发生、癌症进展和耐药性。在过去几十年中,MAPKC的组成成分已被用于设计MAPKC抑制剂(MAPKCI),这些抑制剂在治疗NSCLC方面显示出不同的疗效。因此,最近的研究支持MAPKCI的潜在临床应用,特别是与其他治疗方法联合使用时。本文概述了MAPKC及其抑制剂在NSCLC临床管理中的应用。它指出了当前文献中关于选择性抑制剂不同组合的空白,同时提出了两种在NSCLC中有待研究的特定治疗方法:MAPKC的平行靶向和聚集靶向。这项工作还提供了一些建议,可作为潜在的指导方针,以帮助未来关于MAPKCI的研究优化NSCLC的临床结果。