Role of ATP-Binding Cassette Transporter Proteins in CNS tumors: Resistance-based perspectives and clinical updates.

CURRENT PHARMACEUTICAL DESIGN(2020)

引用 6|浏览14
暂无评分
摘要
Despite gigantic advances in medical research and development, chemotherapeutic resistance remains a major challenge in complete remission of CNS tumors. The failure of complete eradication of CAS tumors has been correlated with the existence of several factors including overexpression of transporter proteins. To date, 49 ABC -transporter proteins (ABC-TPs) have been reported in humans, and the evidence of their strong association with chemotherapeutics' influx, dissemination, and efflux in CAS tumors, is growing. Research studies on CAS tumors are implicating ABC-TPs as diagnostic, prognostic and therapeutic biomarkers that may be utilised in preclinical and clinical studies. With the current advancements in cell biology, molecular analysis of genomic and transcriptomic interplay, and protein homology-based drug-transporters interaction, our research approaches are streamlining the roles of ABC-TPs in cancer and multidrug resistance. Potential inhibitors of ABC-TP for better clinical outcomes in CNS tumors have emerged. Elacridar has shown to enhance the chemo-sensitivity of Dasa-tanib and Imatinib in various glioma models. Tariquidar has improved the effectiveness of Temozolomide's m CAS tumors. Although these inhibitors have been effective in preclinical settings, their clinical outcomes have not been as significant in clinical trials. Thus, to have a better understanding of the molecular evaluations of ABC-TPs, as well as drug-interactions, further research is being pursued in research labs. Our lab aims to better comprehend the biological mechanisms involved in drug resistance and to explore novel strategies to increase the clinical effectiveness of anticancer chemotherapeutics, which will ultimately improve clinical outcomes.
更多
查看译文
关键词
CNS tumors,multidrug resistance,ABC transporters,ABCB1,ABCG2,ABCC1,ABCC3,inhibitors,elacridar,tariquidar,clinical trials
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要