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Drug sensitivity of single cancer cells is predicted by changes in mass accumulation rate.
Stevens, Mark M; Maire, Cecile L; Chou, Nigel; Murakami, Mark A; Knoff, David S; Kikuchi, Yuki; Kimmerling, Robert J; Liu, Huiyun; Haidar, Samer; Calistri, Nicholas L; Cermak, Nathan; Olcum, Selim; Cordero, Nicolas A; Idbaih, Ahmed; Wen, Patrick Y; Weinstock, David M; Ligon, Keith L; Manalis, Scott R.
Afiliação
  • Stevens MM; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Maire CL; Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Chou N; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Murakami MA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Knoff DS; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Kikuchi Y; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Kimmerling RJ; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Liu H; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Haidar S; Hitachi High-Technologies Corporation, Ibaraki-ken, Japan.
  • Calistri NL; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Cermak N; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Olcum S; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Cordero NA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Idbaih A; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Wen PY; Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Weinstock DM; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Ligon KL; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Manalis SR; Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.
Nat Biotechnol ; 34(11): 1161-1167, 2016 Nov.
Article em En | MEDLINE | ID: mdl-27723727
ABSTRACT
Assays that can determine the response of tumor cells to cancer therapeutics could greatly aid the selection of drug regimens for individual patients. However, the utility of current functional assays is limited, and predictive genetic biomarkers are available for only a small fraction of cancer therapies. We found that the single-cell mass accumulation rate (MAR), profiled over many hours with a suspended microchannel resonator, accurately defined the drug sensitivity or resistance of glioblastoma and B-cell acute lymphocytic leukemia cells. MAR revealed heterogeneity in drug sensitivity not only between different tumors, but also within individual tumors and tumor-derived cell lines. MAR measurement predicted drug response using samples as small as 25 µl of peripheral blood while maintaining cell viability and compatibility with downstream characterization. MAR measurement is a promising approach for directly assaying single-cell therapeutic responses and for identifying cellular subpopulations with phenotypic resistance in heterogeneous tumors.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ensaios de Seleção de Medicamentos Antitumorais / Sistemas Microeletromecânicos / Dispositivos Lab-On-A-Chip / Neoplasias Experimentais / Antineoplásicos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ensaios de Seleção de Medicamentos Antitumorais / Sistemas Microeletromecânicos / Dispositivos Lab-On-A-Chip / Neoplasias Experimentais / Antineoplásicos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Biotechnol Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos