Literature DB >> 28235762

Cellular Hierarchy as a Determinant of Tumor Sensitivity to Chemotherapy.

Ignacio A Rodriguez-Brenes1,2, Antonina V Kurtova3, Christopher Lin1, Yu-Cheng Lee4, Jing Xiao4, Martha Mims5, Keith Syson Chan6,5,7, Dominik Wodarz8.   

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 that mobilizes 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. Cancer Res; 77(9); 2231-41. ©2017 AACR. ©2017 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2017        PMID: 28235762      PMCID: PMC5487257          DOI: 10.1158/0008-5472.CAN-16-2434

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  34 in total

1.  Overcoming resistance to imatinib by combining targeted agents.

Authors:  Brian J Druker
Journal:  Mol Cancer Ther       Date:  2003-03       Impact factor: 6.261

2.  Feedback regulation of proliferation vs. differentiation rates explains the dependence of CD4 T-cell expansion on precursor number.

Authors:  Gennady Bocharov; Juan Quiel; Tatyana Luzyanina; Hagit Alon; Egor Chiglintsev; Valery Chereshnev; Martin Meier-Schellersheim; William E Paul; Zvi Grossman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-03       Impact factor: 11.205

Review 3.  Tumour stem cells and drug resistance.

Authors:  Michael Dean; Tito Fojo; Susan Bates
Journal:  Nat Rev Cancer       Date:  2005-04       Impact factor: 60.716

Review 4.  Mechanisms of cancer drug resistance.

Authors:  Michael M Gottesman
Journal:  Annu Rev Med       Date:  2002       Impact factor: 13.739

5.  Blocking PGE2-induced tumour repopulation abrogates bladder cancer chemoresistance.

Authors:  Antonina V Kurtova; Jing Xiao; Qianxing Mo; Senthil Pazhanisamy; Ross Krasnow; Seth P Lerner; Fengju Chen; Terrence T Roh; Erica Lay; Philip Levy Ho; Keith Syson Chan
Journal:  Nature       Date:  2014-12-03       Impact factor: 49.962

Review 6.  Turning ecology and evolution against cancer.

Authors:  Kirill S Korolev; Joao B Xavier; Jeff Gore
Journal:  Nat Rev Cancer       Date:  2014-04-17       Impact factor: 60.716

7.  Molecular Pathways: Targeting Cancer Stem Cells Awakened by Chemotherapy to Abrogate Tumor Repopulation.

Authors:  Keith Syson Chan
Journal:  Clin Cancer Res       Date:  2015-12-15       Impact factor: 12.531

8.  The Cancer Stem Cell Fraction in Hierarchically Organized Tumors Can Be Estimated Using Mathematical Modeling and Patient-Specific Treatment Trajectories.

Authors:  Benjamin Werner; Jacob G Scott; Andrea Sottoriva; Alexander R A Anderson; Arne Traulsen; Philipp M Altrock
Journal:  Cancer Res       Date:  2016-02-01       Impact factor: 12.701

9.  Cell lineages and the logic of proliferative control.

Authors:  Arthur D Lander; Kimberly K Gokoffski; Frederic Y M Wan; Qing Nie; Anne L Calof
Journal:  PLoS Biol       Date:  2009-01-20       Impact factor: 8.029

10.  Stem cell control, oscillations, and tissue regeneration in spatial and non-spatial models.

Authors:  Ignacio A Rodriguez-Brenes; Dominik Wodarz; Natalia L Komarova
Journal:  Front Oncol       Date:  2013-04-15       Impact factor: 6.244

View more
  3 in total

1.  Effect of cellular de-differentiation on the dynamics and evolution of tissue and tumor cells in mathematical models with feedback regulation.

Authors:  Dominik Wodarz
Journal:  J Theor Biol       Date:  2018-03-30       Impact factor: 2.691

2.  Effect of feedback regulation on stem cell fractions in tissues and tumors: Understanding chemoresistance in cancer.

Authors:  Lora D Weiss; P van den Driessche; John S Lowengrub; Dominik Wodarz; Natalia L Komarova
Journal:  J Theor Biol       Date:  2020-10-29       Impact factor: 2.691

3.  Spatial dynamics of feedback and feedforward regulation in cell lineages.

Authors:  Peter Uhl; John Lowengrub; Natalia Komarova; Dominik Wodarz
Journal:  PLoS Comput Biol       Date:  2022-05-06       Impact factor: 4.779

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.