Transient commensal clonal interactions can drive tumor metastasis.
Transient commensal clonal interactions can drive tumor metastasis.
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短暂的细胞克隆相互作用可以驱动肿瘤转移。
DOI:
10.1038/s41467-020-19584-1
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发表时间:
2020-11-16
影响因子:
16.6
通讯作者:
Brugge JS
中科院分区:
文献类型:
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作者:
Naffar-Abu Amara S;Kuiken HJ;Selfors LM;Butler T;Leung ML;Leung CT;Kuhn EP;Kolarova T;Hage C;Ganesh K;Panayiotou R;Foster R;Rueda BR;Aktipis A;Spellman P;Ince TA;Xiu J;Oberley M;Gatalica Z;Navin N;Mills GB;Bronson RT;Brugge JS
The extent and importance of functional heterogeneity and crosstalk between tumor cells is poorly understood. Here, we describe the generation of clonal populations from a patient-derived ovarian clear cell carcinoma model which forms malignant ascites and solid peritoneal tumors upon intraperitoneal transplantation in mice. The clonal populations are engineered with secreted Gaussia luciferase to monitor tumor growth dynamics and tagged with a unique DNA barcode to track their fate in multiclonal mixtures during tumor progression. Only one clone, CL31, grows robustly, generating exclusively malignant ascites. However, multiclonal mixtures form large solid peritoneal metastases, populated almost entirely by CL31, suggesting that transient cooperative interclonal interactions are sufficient to promote metastasis of CL31. CL31 uniquely harbors ERBB2 amplification, and its acquired metastatic activity in clonal mixtures is dependent on transient exposure to amphiregulin, which is exclusively secreted by non-tumorigenic clones. Amphiregulin enhances CL31 mesothelial clearance, a prerequisite for metastasis. These findings demonstrate that transient, ostensibly innocuous tumor subpopulations can promote metastases via “hit-and-run” commensal interactions. Cooperative interactions among tumor cells may have important implications for metastasis. Here, the authors examined the spatio-temporal nature of interactions among clonal populations of ovarian carcinoma cells and found that transient interactions cells can promote metastases via commensal interactions.
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影响因子:
10.5
作者:
Inda, Maria-del-Mar;Bonavia, Rudy;Furnari, Frank
通讯作者:
Furnari, Frank
影响因子:
--
作者:
Hayashida T;Jinno H;Kitagawa Y;Kitajima M
通讯作者:
Kitajima M
DOI:
10.1073/pnas.0606053103
发表时间:
2006-09-05
影响因子:
11.1
作者:
Axelrod, Robert;Axelrod, David E.;Pienta, Kenneth J.
通讯作者:
Pienta, Kenneth J.
影响因子:
6.4
作者:
Koopman, Timco;van der Vegt, Bert;Hollema, Harry
通讯作者:
Hollema, Harry
影响因子:
64.8
作者:
通讯作者:
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