An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines.

Yang, Jianchen; Virostko, Jack; Hormuth, David A; Liu, Junyan; Brock, Amy; Kowalski, Jeanne; Yankeelov, Thomas E

Yang, Jianchen; Virostko, Jack; Hormuth, David A; Liu, Junyan; Brock, Amy; Kowalski, Jeanne; Yankeelov, Thomas E.

Afiliação

Yang J; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.
Virostko J; Department of Diagnostic Medicine, The University of Texas at Austin, Austin, Texas, United States of America.
Hormuth DA; Department of Oncology, The University of Texas at Austin, Austin, Texas, United States of America.
Liu J; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas, United States of America.
Brock A; Livestrong Cancer Institutes, The University of Texas at Austin, Austin, Texas, United States of America.
Kowalski J; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, Texas, United States of America.
Yankeelov TE; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, United States of America.

PLoS One ; 16(7): e0240765, 2021.

Article em En | MEDLINE | ID: mdl-34255770

Assuntos

Neoplasias da Mama/patologia; Glucose/metabolismo; Modelos Biológicos; Linhagem Celular Tumoral; Proliferação de Células; Humanos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Glucose / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

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