Modeling of Cancer Stem Cell State Transitions Predicts Therapeutic Response

• Mary E. Sehl ,

  * E-mail: msehl@mednet.ucla.edu

  Affiliations Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America, Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America

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• Miki Shimada,

  Affiliation Waseda University, Shinjuku, Japan

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• Alfonso Landeros,

  Affiliation Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America

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• Kenneth Lange,

  Affiliations Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America, Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America, Department of Statistics, University of California, Los Angeles, Los Angeles, CA, United States of America

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• Max S. Wicha

  Affiliation University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, United States of America

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