Literature DB >> 20048071

Cancer stem cell tumor model reveals invasive morphology and increased phenotypical heterogeneity.

Andrea Sottoriva1, Joost J C Verhoeff, Tijana Borovski, Shannon K McWeeney, Lev Naumov, Jan Paul Medema, Peter M A Sloot, Louis Vermeulen.   

Abstract

The recently developed concept of cancer stem cells (CSC) sheds new light on various aspects of tumor growth and progression. Here, we present a mathematical model of malignancies to investigate how a hierarchical organized cancer cell population affects the fundamental properties of solid malignancies. We establish that tumors modeled in a CSC context more faithfully resemble human malignancies and show invasive behavior, whereas tumors without a CSC hierarchy do not. These findings are corroborated by in vitro studies. In addition, we provide evidence that the CSC model is accompanied by highly altered evolutionary dynamics compared with the ones predicted to exist in a stochastic, nonhierarchical tumor model. Our main findings indicate that the CSC model allows for significantly higher tumor heterogeneity, which may affect therapy resistance. Moreover, we show that therapy which fails to target the CSC population is not only unsuccessful in curing the patient, but also promotes malignant features in the recurring tumor. These include rapid expansion, increased invasion, and enhanced heterogeneity.

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Year:  2010        PMID: 20048071     DOI: 10.1158/0008-5472.CAN-09-3663

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


  81 in total

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Review 2.  Microenvironmental regulation of stem cells in intestinal homeostasis and cancer.

Authors:  Jan Paul Medema; Louis Vermeulen
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4.  A multicompartment mathematical model of cancer stem cell-driven tumor growth dynamics.

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5.  A High-Performance Cellular Automaton Model of Tumor Growth with Dynamically Growing Domains.

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Journal:  Appl Math (Irvine)       Date:  2014-01

Review 6.  The role of connexins in prostate cancer promotion and progression.

Authors:  Jarosław Czyż; Katarzyna Szpak; Zbigniew Madeja
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7.  A mathematical model of tumour self-seeding reveals secondary metastatic deposits as drivers of primary tumour growth.

Authors:  Jacob G Scott; David Basanta; Alexander R A Anderson; Philip Gerlee
Journal:  J R Soc Interface       Date:  2013-02-20       Impact factor: 4.118

8.  Mathematical models of the transitions between endocrine therapy responsive and resistant states in breast cancer.

Authors:  Chun Chen; William T Baumann; Jianhua Xing; Lingling Xu; Robert Clarke; John J Tyson
Journal:  J R Soc Interface       Date:  2014-05-07       Impact factor: 4.118

9.  Mathematical Oncology: How Are the Mathematical and Physical Sciences Contributing to the War on Breast Cancer?

Authors:  Arnaud H Chauviere; Haralampos Hatzikirou; John S Lowengrub; Hermann B Frieboes; Alastair M Thompson; Vittorio Cristini
Journal:  Curr Breast Cancer Rep       Date:  2010-07-22

10.  Histological and prognostic importance of CD44(+) /CD24(+) /EpCAM(+) expression in clinical pancreatic cancer.

Authors:  Yusuke Ohara; Tatsuya Oda; Masato Sugano; Shinji Hashimoto; Tsuyoshi Enomoto; Keiichi Yamada; Yoshimasa Akashi; Ryoichi Miyamoto; Akihiko Kobayashi; Kiyoshi Fukunaga; Yukio Morishita; Nobuhiro Ohkohchi
Journal:  Cancer Sci       Date:  2013-06-24       Impact factor: 6.716

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