Nature Communications (Sep 2017)

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

  • 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

DOI
https://doi.org/10.1038/s41467-017-00451-5
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 12

Abstract

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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.