Suppr超能文献

三阴性乳腺癌靶向治疗策略的最新进展。

Recent advances in targeted strategies for triple-negative breast cancer.

机构信息

Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.

Cancer Center, Shanxi Bethune Hospital, Shanxi Academy of Medical Science, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, China.

出版信息

J Hematol Oncol. 2023 Aug 28;16(1):100. doi: 10.1186/s13045-023-01497-3.

Abstract

Triple-negative breast cancer (TNBC), a highly aggressive subtype of breast cancer, negatively expresses estrogen receptor, progesterone receptor, and the human epidermal growth factor receptor 2 (HER2). Although chemotherapy is the main form of treatment for patients with TNBC, the effectiveness of chemotherapy for TNBC is still limited. The search for more effective therapies is urgent. Multiple targeted therapeutic strategies have emerged according to the specific molecules and signaling pathways expressed in TNBC. These include PI3K/AKT/mTOR inhibitors, epidermal growth factor receptor inhibitors, Notch inhibitors, poly ADP-ribose polymerase inhibitors, and antibody-drug conjugates. Moreover, immune checkpoint inhibitors, for example, pembrolizumab, atezolizumab, and durvalumab, are widely explored in the clinic. We summarize recent advances in targeted therapy and immunotherapy in TNBC, with the aim of serving as a reference for the development of individualized treatment of patients with TNBC in the future.

摘要

三阴性乳腺癌(TNBC)是一种侵袭性很强的乳腺癌亚型,其雌激素受体、孕激素受体和人表皮生长因子受体 2(HER2)均呈阴性。尽管化疗是 TNBC 患者的主要治疗形式,但化疗对 TNBC 的疗效仍有限,因此迫切需要寻找更有效的治疗方法。根据 TNBC 中表达的特定分子和信号通路,已经出现了多种靶向治疗策略。这些策略包括 PI3K/AKT/mTOR 抑制剂、表皮生长因子受体抑制剂、Notch 抑制剂、多聚 ADP-核糖聚合酶抑制剂和抗体药物偶联物。此外,免疫检查点抑制剂,例如 pembrolizumab、atezolizumab 和 durvalumab,在临床上也得到了广泛的探索。我们总结了 TNBC 中靶向治疗和免疫治疗的最新进展,旨在为未来 TNBC 患者的个体化治疗发展提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f79/10464091/cde42145242d/13045_2023_1497_Fig1_HTML.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