A Hypercoagulable Hematological Metastasis Breast Cancer Model.
A Hypercoagulable Hematological Metastasis Breast Cancer Model.
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高凝血液转移乳腺癌模型.DOI:10.1155/2021/5473959
DOI：
10.1155/2021/5473959
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发表时间：
2021
影响因子：
--
通讯作者：
Yang GW
中科院分区：
文献类型：
--
作者：
Yang WJ;Zhang GL;Cao KX;Yang GW
背景高凝状态是肿瘤常见的全身性改变，与血行转移形成恶性循环。由于模型是研究的关键，因此迫切需要一种适合研究高凝状态如何促进乳腺癌血行转移的模型。方法以荷瘤期（TBP）和术后潜伏期（PIP）为指标，建立4T1乳腺癌模型，评价凝血功能和肿瘤负荷，建立基于多元线性回归的肺转移预测公式。将血小板与4T1细胞体外共培养30 min或24 h，观察其早期和晚期的相互作用，并测定共培养上清液的物理特性（浓度和大小）和促凝血活性。结果建立了预测肺转移的多元线性回归模型：log10（光子数）= 0.147 TBP + 0.14 PIP + 3.303（TBP ≤ 25，PIP ≤ 17）。血小板和4T1细胞的共培养有助于细胞外囊泡（EV）的释放和高凝状态的发展。结论建立了以血小板活化为特征的高凝状态促进乳腺癌血行转移的体内、外模型，探讨了乳腺癌高凝状态的发生机制。
Background The hypercoagulable status, which forms a vicious cycle with hematogenous metastasis, is a common systemic alteration in cancers. As modeling is a key approach in research, a model which is suitable for studying how the hypercoagulable status promotes hematogenous metastasis in breast cancer is urgently needed. Methods Based on the tumor-bearing period (TBP) and postoperative incubation period (PIP), 4T1-breast cancer models were constructed to evaluate coagulation and tumor burden to generate multiple linear regression-based lung metastasis prediction formula. Platelets and 4T1 cells were cocultured for 30 min or 24 h in vitro to evaluate the early and late phases of their crosstalk, and then the physical characteristics (concentration and size) and procoagulant activity of the coculture supernatants were assayed. Results The multiple linear regression model was constructed as log10 (photon number) = 0.147 TBP + 0.14 PIP + 3.303 (TBP ≤ 25 and PIP ≤ 17) to predict lung metastasis. Coculture of platelets and 4T1 cells contributed to the release of extracellular vesicles (EVs) and the development of the hypercoagulable status. Conclusions In vivo and in vitro hypercoagulable status models were developed to explore the mechanism of hypercoagulable status which is characterized by platelet activation and promotes hematogenous metastasis in breast cancer.
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DOI：
10.1073/pnas.61.1.46
发表时间：
1968-01-01
影响因子：
11.1
作者：
GASIC, GJ;GASIC, TB;STEWART, CC
通讯作者：
STEWART, CC
影响因子：
1.6
作者：
Erdemir, Fikret;Kilciler, Mete;Erten, Koray
通讯作者：
Erten, Koray
影响因子：
3.8
作者：
Garcia Garre, Elisa;Luengo Gil, Gines;Ayala de la Pena, Francisco
通讯作者：
Ayala de la Pena, Francisco
影响因子：
3.8
作者：
Chaari M;Ayadi I;Rousseau A;Lefkou E;Van Dreden P;Sidibe F;Ketatni H;Galea V;Khaterchi A;Bouzguenda R;Frikha M;Ghorbal L;Daoud J;Kallel C;Quinn M;Gligorov J;Lotz JP;Hatmi M;Elalamy I;Gerotziafas GT
通讯作者：
Gerotziafas GT
影响因子：
6.6
作者：
Bensalah, K;Leray, E;Patard, JJ
通讯作者：
Patard, JJ