Cellular hierarchy as a determinant of tumor sensitivity to chemotherapy

Ignacio A. Rodriguez-Brenes, Antonina V. Kurtova, Christopher Lin, Yu Cheng Lee, Jing Xiao, Martha Mims, Keith Syson Chan, Dominik Wodarz

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Chemotherapy has been shown to enrich cancer stem cells in tumors. Recently, we demonstrated that administration of chemotherapy to human bladder cancer xenografts could trigger a wound-healing response thatmobilizes quiescent tumor stem cells into active proliferation. This phenomenon leads to a loss of sensitivity to chemotherapy partly due to an increase in the number of tumor stem cells, which typically respond to chemotherapy-induced cell death less than more differentiated cells. Different bladder cancer xenografts, however, demonstrate differential sensitivities to chemotherapy, the basis of which is not understood. Using mathematical models, we show that characteristics of the tumor cell hierarchy can be crucial for determining the sensitivity of tumors to drug therapy, under the assumption that stem cell enrichment is the primary basis for drug resistance. Intriguingly, our model predicts a weaker response to therapy if there is negative feedback from differentiated tumor cells that inhibits the rate of tumor stem cell division. If this negative feedback is less pronounced, the treatment response is predicted to be enhanced. The reason is that negative feedback on the rate of tumor cell division promotes a permanent rise of the tumor stem cell population over time, both in the absence of treatment and even more so during drug therapy. Model application to data from chemotherapy-treated patient-derived xenografts indicates support for model predictions. These findings call for further research into feedback mechanisms that might remain active in cancers and potentially highlight the presence of feedback as an indication to combine chemotherapy with approaches that limit the process of tumor stem cell enrichment.

Original languageEnglish
Pages (from-to)2231-2241
Number of pages11
JournalCancer Research
Volume77
Issue number9
DOIs
Publication statusPublished - May 1 2017
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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