Literature DB >> 18273038

Integrative mathematical oncology.

Alexander R A Anderson1, Vito Quaranta.   

Abstract

Cancer research attracts broad resources and scientists from many disciplines, and has produced some impressive advances in the treatment and understanding of this disease. However, a comprehensive mechanistic view of the cancer process remains elusive. To achieve this it seems clear that one must assemble a physically integrated team of interdisciplinary scientists that includes mathematicians, to develop mathematical models of tumorigenesis as a complex process. Examining these models and validating their findings by experimental and clinical observations seems to be one way to reconcile molecular reductionist with quantitative holistic approaches and produce an integrative mathematical oncology view of cancer progression.

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Year:  2008        PMID: 18273038     DOI: 10.1038/nrc2329

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  148 in total

1.  Unraveling the complex regulatory relationships between metabolism and signal transduction in cancer.

Authors:  Michelle L Wynn; Sofia D Merajver; Santiago Schnell
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

2.  Streaming instability in growing cell populations.

Authors:  William Mather; Octavio Mondragón-Palomino; Tal Danino; Jeff Hasty; Lev S Tsimring
Journal:  Phys Rev Lett       Date:  2010-05-19       Impact factor: 9.161

3.  An Adaptive Multigrid Algorithm for Simulating Solid Tumor Growth Using Mixture Models.

Authors:  S M Wise; J S Lowengrub; V Cristini
Journal:  Math Comput Model       Date:  2011-01-01

Review 4.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

Authors:  Robert Clarke; John J Tyson; Ming Tan; William T Baumann; Lu Jin; Jianhua Xuan; Yue Wang
Journal:  Endocr Relat Cancer       Date:  2019-06       Impact factor: 5.678

Review 5.  Characterizing the ecological and evolutionary dynamics of cancer.

Authors:  Nastaran Zahir; Ruping Sun; Daniel Gallahan; Robert A Gatenby; Christina Curtis
Journal:  Nat Genet       Date:  2020-07-27       Impact factor: 38.330

Review 6.  The Evolution and Ecology of Resistance in Cancer Therapy.

Authors:  Robert Gatenby; Joel Brown
Journal:  Cold Spring Harb Perspect Med       Date:  2018-03-01       Impact factor: 6.915

7.  The effects of cell compressibility, motility and contact inhibition on the growth of tumor cell clusters using the Cellular Potts Model.

Authors:  Jonathan F Li; John Lowengrub
Journal:  J Theor Biol       Date:  2013-11-06       Impact factor: 2.691

8.  Nonlinear studies of tumor morphological stability using a two-fluid flow model.

Authors:  Kara Pham; Emma Turian; Kai Liu; Shuwang Li; John Lowengrub
Journal:  J Math Biol       Date:  2018-03-15       Impact factor: 2.259

9.  A 2D mechanistic model of breast ductal carcinoma in situ (DCIS) morphology and progression.

Authors:  Kerri-Ann Norton; Michael Wininger; Gyan Bhanot; Shridar Ganesan; Nicola Barnard; Troy Shinbrot
Journal:  J Theor Biol       Date:  2009-12-16       Impact factor: 2.691

10.  The effect of interstitial pressure on tumor growth: coupling with the blood and lymphatic vascular systems.

Authors:  Min Wu; Hermann B Frieboes; Steven R McDougall; Mark A J Chaplain; Vittorio Cristini; John Lowengrub
Journal:  J Theor Biol       Date:  2012-12-07       Impact factor: 2.691

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