A multiplex preclinical model for adenoid cystic carcinoma of the salivary gland identifies regorafenib as a potential therapeutic drug.
A multiplex preclinical model for adenoid cystic carcinoma of the salivary gland identifies regorafenib as a potential therapeutic drug.
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DOI：
10.1038/s41598-017-11764-2
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发表时间：
2017-09-12
影响因子：
4.6
通讯作者：
Agarwal S
中科院分区：
文献类型：
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作者：
Chen C;Choudhury S;Wangsa D;Lescott CJ;Wilkins DJ;Sripadhan P;Liu X;Wangsa D;Ried T;Moskaluk C;Wick MJ;Glasgow E;Schlegel R;Agarwal S
腺样囊性癌是一种罕见的涎腺肿瘤，具有很高的转移率。为了研究这种肿瘤类型，展示这种肿瘤的分子特征的可靠模型系统是至关重要的，但不存在，从而抑制了体外研究和转移行为的分析。为了解决这一缺陷，我们将建立肿瘤细胞培养的有效方法，条件重编程（CR）与快速，可重复和强大的体内斑马鱼模型相结合。我们已经从两个单独的ACC PDX肿瘤中建立了细胞培养物，这些肿瘤保持了MYB易位的特征。在一种ACC培养物中发现的其他突变也见于PDX肿瘤中。最后，CR/斑马鱼模型反映了PDX小鼠模型，并将瑞格非尼确定为治疗这种癌症类型的潜在治疗药物，其模拟了PDX模型中的药物敏感性特征，进一步证实了多重系统的独特优势。
Adenoid cystic carcinomas (ACC) are rare salivary gland cancers with a high incidence of metastases. In order to study this tumor type, a reliable model system exhibiting the molecular features of this tumor is critical, but none exists, thereby inhibiting in-vitro studies and the analysis of metastatic behavior. To address this deficiency, we have coupled an efficient method to establish tumor cell cultures, conditional reprogramming (CR), with a rapid, reproducible and robust in-vivo zebrafish model. We have established cell cultures from two individual ACC PDX tumors that maintain the characteristic MYB translocation. Additional mutations found in one ACC culture also seen in the PDX tumor. Finally, the CR/zebrafish model mirrors the PDX mouse model and identifies regorafenib as a potential therapeutic drug to treat this cancer type that mimic the drug sensitivity profile in PDX model, further confirming the unique advantages of multiplex system.
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影响因子：
4.6
作者：
Chen J;Zhou W;Jia Q;Chen J;Zhang S;Yao W;Wei F;Zhang Y;Yang F;Huang W;Zhang Y;Zhang H;Zhang Y;Huang B;Zhang Z;Jia H;Wang N
通讯作者：
Wang N
影响因子：
6.5
作者：
Katoh, Masaru
通讯作者：
Katoh, Masaru
DOI：
10.1158/1078-0432.ccr-14-2921
发表时间：
2015-03-01
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
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作者：
Barriuso J;Nagaraju R;Hurlstone A
通讯作者：
Hurlstone A
影响因子：
4.8
作者：
Li J;Perlaky L;Rao P;Weber RS;El-Naggar AK
通讯作者：
El-Naggar AK
影响因子：
2.2
作者：
通讯作者：
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