Phenotype-driven precision oncology as a guide for clinical decisions one patient at a time

Phenotype-driven precision oncology as a guide for clinical decisions one patient at a time

Treatment response in patient-derived models may serve as a biomarker for response in the clinic. Here, the authors use paired patient-derived mouse xenografts and patient-derived primary culture models from head and neck squamous cell carcinomas, including metastasis, as models for high-throughput...

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Auteurs principaux: Shumei Chia, Joo-Leng Low, Xiaoqian Zhang, Xue-Lin Kwang, Fui-Teen Chong, Ankur Sharma, Denis Bertrand, Shen Yon Toh, Hui-Sun Leong, Matan T. Thangavelu, Jacqueline S. G. Hwang, Kok-Hing Lim, Thakshayeni Skanthakumar, Hiang-Khoon Tan, Yan Su, Siang Hui Choo, Hannes Hentze, Iain B. H. Tan, Alexander Lezhava, Patrick Tan, Daniel S. W. Tan, Giridharan Periyasamy, Judice L. Y. Koh, N. Gopalakrishna Iyer, Ramanuj DasGupta
Format: article
Langue:EN
Publié: Nature Portfolio 2017
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Science
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Accès en ligne:https://doaj.org/article/7f061de7c66f4a4eb132f00dff006462
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Résumé:Treatment response in patient-derived models may serve as a biomarker for response in the clinic. Here, the authors use paired patient-derived mouse xenografts and patient-derived primary culture models from head and neck squamous cell carcinomas, including metastasis, as models for high-throughput screening of anti-cancer drugs.

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