...
首页> 外文期刊>BioMed research international >Novel Approaches to Treatment of Advanced Melanoma: A Review on Targeted Therapy and Immunotherapy
【24h】

Novel Approaches to Treatment of Advanced Melanoma: A Review on Targeted Therapy and Immunotherapy

机译:治疗晚期黑素瘤的新方法:靶向治疗与免疫疗法综述

获取原文
获取原文并翻译 | 示例
           

摘要

The incidence of malignant melanoma is increasing. The majority of patients are diagnosed in early stages when the disease is highly curable. However, the more advanced or metastatic cases have always been a challenge for clinicians. The poor prognosis for patients with melanoma is now changing as numerous of promising approaches have appeared recently. The discovery of aberrations of pathways responsible for intracellular signal transduction allowed us to introduce agents specifically targeting the mutated cascades. Numerous clinical studies have been conducted to improve effectiveness of melanoma treatment. From 2011 until now, the U.S. FDA has approved seven novel agents, such as BRAF-inhibitors (vemurafenib 2011, dabrafenib 2013), MEK-inhibitors (trametinib 2013), anti-PDl antibodies (nivolumab 2014, pembrolizumab 2014), anti-CTLA-4 antibody (ipilimumab 2011), or peginterferon-alfa-2b (2011) intended to be used in most advanced cases of melanoma. Nevertheless, clinicians continue working on new possible methods of treatment as resistance to the novel drugs is a commonly observed problem. This paper is based on latest data published until the end of January 2015.
机译:恶性黑素瘤的发生率正在增加。大多数患者在早期阶段被诊断为疾病,该疾病是可治愈的。然而,更先进或转移性案件始终是临床医生的挑战。随着最近出现了许多有希望的方法,Melanoma患者的预后差现在变化差。发现负责细胞内信号转导的途径的像差允许我们引入特异性靶向突变级联的药剂。已经进行了许多临床研究以提高黑素瘤治疗的有效性。从2011年到现在,美国FDA已经批准了七种新型药剂,如BRAF抑制剂(Vemurafenib 2011,DabrafeNib 2013),Mek-抑制剂(Trametinib 2013),抗PDL抗体(Nivolumab 2014,Pembrolizumab 2014),抗CTLA -4抗体(Ipilimmab 2011),或Peginterferon-Alfa-2b(2011)旨在用于黑素瘤最先进的病例。尽管如此,临床医生继续致力于新的可能治疗方法,因为对新药的抵抗是一个常见的问题。本文以2015年1月底发布的最新数据为基础。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号