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A comparative study of tumour-on-chip models with patient-derived xenografts for predicting chemotherapy efficacy in colorectal cancer patients.
Ong, Louis Jun Ye; Chia, Shumei; Wong, Stephen Qi Rong; Zhang, Xiaoqian; Chua, Huiwen; Loo, Jia Min; Chua, Wei Yong; Chua, Clarinda; Tan, Emile; Hentze, Hannes; Tan, Iain Beehuat; DasGupta, Ramanuj; Toh, Yi-Chin.
Afiliação
  • Ong LJY; School of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QL, Australia.
  • Chia S; Centre for Biomedical Technologies, Queensland University of Technology (QUT), Brisbane, QL, Australia.
  • Wong SQR; Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
  • Zhang X; Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore.
  • Chua H; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, ASTAR, Singapore, Singapore.
  • Loo JM; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, ASTAR, Singapore, Singapore.
  • Chua WY; Biological Resource Centre, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
  • Chua C; Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Tan E; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, ASTAR, Singapore, Singapore.
  • Hentze H; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, ASTAR, Singapore, Singapore.
  • Tan IB; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, ASTAR, Singapore, Singapore.
  • DasGupta R; Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, ASTAR, Singapore, Singapore.
  • Toh YC; National Cancer Centre Singapore, Singapore, Singapore.
Front Bioeng Biotechnol ; 10: 952726, 2022.
Article em En | MEDLINE | ID: mdl-36147524
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália