Your browser doesn't support javascript.
loading
Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance.
Su, Yapeng; Wei, Wei; Robert, Lidia; Xue, Min; Tsoi, Jennifer; Garcia-Diaz, Angel; Homet Moreno, Blanca; Kim, Jungwoo; Ng, Rachel H; Lee, Jihoon W; Koya, Richard C; Comin-Anduix, Begonya; Graeber, Thomas G; Ribas, Antoni; Heath, James R.
Afiliação
  • Su Y; NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125.
  • Wei W; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
  • Robert L; NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125; weiwei@mednet.ucla.edu aribas@mednet.ucla.edu heath@caltech.edu.
  • Xue M; Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095.
  • Tsoi J; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA 90095.
  • Garcia-Diaz A; Department of Medicine, University of California, Los Angeles, CA 90095.
  • Homet Moreno B; NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125.
  • Kim J; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
  • Ng RH; Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095.
  • Lee JW; Department of Medicine, University of California, Los Angeles, CA 90095.
  • Koya RC; Department of Medicine, University of California, Los Angeles, CA 90095.
  • Comin-Anduix B; Division of Translational Oncology, Carlos III Health Institute, 28029 Madrid, Spain.
  • Graeber TG; NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125.
  • Ribas A; Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
  • Heath JR; NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA 91125.
Proc Natl Acad Sci U S A ; 114(52): 13679-13684, 2017 12 26.
Article em En | MEDLINE | ID: mdl-29229836
ABSTRACT
Continuous BRAF inhibition of BRAF mutant melanomas triggers a series of cell state changes that lead to therapy resistance and escape from immune control before establishing acquired resistance genetically. We used genome-wide transcriptomics and single-cell phenotyping to explore the response kinetics to BRAF inhibition for a panel of patient-derived BRAFV600 -mutant melanoma cell lines. A subset of plastic cell lines, which followed a trajectory covering multiple known cell state transitions, provided models for more detailed biophysical investigations. Markov modeling revealed that the cell state transitions were reversible and mediated by both Lamarckian induction and nongenetic Darwinian selection of drug-tolerant states. Single-cell functional proteomics revealed activation of certain signaling networks shortly after BRAF inhibition, and before the appearance of drug-resistant phenotypes. Drug targeting those networks, in combination with BRAF inhibition, halted the adaptive transition and led to prolonged growth inhibition in multiple patient-derived cell lines.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Resistencia a Medicamentos Antineoplásicos / Análise de Célula Única / Melanoma Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Resistencia a Medicamentos Antineoplásicos / Análise de Célula Única / Melanoma Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article