Using dynamic cell communication improves treatment strategies of breast cancer.

Using dynamic cell communication improves treatment strategies of breast cancer.
复制标题

DOI:
10.1186/s12935-021-01979-9
复制
发表时间:
2021-05-25
影响因子:
5.8
通讯作者:
Luo D
Luo D
中科院分区:
医学2区
文献类型:
--
作者:
Liu Z;Hu S;Yun Z;Hu W;Zhang S;Luo D

文献摘要

参考文献

被引文献

相似文献

从乳腺癌患者的临床治疗中的几个见解发现,只有一部分患者在传统靶向治疗后达到预期疗效,手术治疗可能会促进癌症转移的发展,新辅助化疗与传统治疗的最佳组合尚不明确。因此,应更准确地对乳腺癌进行分类,选择治疗方法,以提高临床治疗效果。在乳腺癌的临床治疗中,细胞通讯分子常被选为治疗靶点。然而,各种小区通信不是静态的。它们的动态变化与通讯细胞、通讯分子以及各种相互交织的内外环境因素有关。了解动态微环境可以帮助我们提高治疗效果,并提供更准确地确定癌症状态的新方法。因此,本文综述了乳腺癌微环境中多种类型的细胞通信,并将内部和外部环境因素作为细胞通信中的可变信号传导因素。利用动态和发展的概念,我们总结了信号分子和细胞的功能变化,以帮助诊断和治疗乳腺癌。
Several insights from the clinical treatment of breast cancer patients have revealed that only a portion of patients achieve the expected curative effect after traditional targeted therapy, that surgical treatment may promote the development of cancer metastasis, and that the optimal combination of neoadjuvant chemotherapy and traditional treatment is not clear. Therefore, a more precise classification of breast cancer and selection of treatment methods should be undertaken to improve the efficacy of clinical treatment. In the clinical treatment of breast cancer, cell communication molecules are often selected as therapeutic targets. However, various cell communications are not static. Their dynamic changes are related to communicating cells, communicating molecules, and various intertwined internal and external environmental factors. Understanding the dynamic microenvironment can help us improve therapeutic efficacy and provide new ways to more accurately determine the cancer status. Therefore, this review describes multiple types of cellular communication in the breast cancer microenvironment and incorporates internal and external environmental factors as variable signaling factors in cell communication. Using dynamic and developmental concepts, we summarize the functional changes in signaling molecules and cells to aid in the diagnosis and treatment of breast cancer.
DOI: 10.3322/caac.21398
发表时间: 2017-07-08
期刊: CA: a cancer journal for clinicians
影响因子: --
作者:
Bhatt AP;Redinbo MR;Bultman SJ
通讯作者: Bultman SJ
DOI: 10.1172/jci64993
发表时间: 2013-01-01
影响因子: 15.9
作者:
Chaturvedi, Pallavi;Gilkes, Daniele M.;Semenza, Gregg L.
通讯作者: Semenza, Gregg L.
DOI: 10.1039/c5ib00040h
发表时间: 2015-10
期刊: Integrative biology : quantitative biosciences from nano to macro
影响因子: --
作者:
Acerbi I;Cassereau L;Dean I;Shi Q;Au A;Park C;Chen YY;Liphardt J;Hwang ES;Weaver VM
通讯作者: Weaver VM
DOI: 10.1083/jcb.200508014
发表时间: 2006-03-13
期刊: The Journal of cell biology
影响因子: --
作者:
Booth AM;Fang Y;Fallon JK;Yang JM;Hildreth JE;Gould SJ
通讯作者: Gould SJ
DOI: 10.1371/journal.pone.0145061
发表时间: 2015
期刊: PloS one
影响因子: 3.7
作者:
Candelaria NR;Weldon R;Muthusamy S;Nguyen-Vu T;Addanki S;Yoffou PH;Karaboga H;Blessing AM;Bollu LR;Miranda RC;Lin CY
通讯作者: Lin CY