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Literature DB >> 12540881

Mathematical oncology: cancer summed up.

Robert A Gatenby¹, Philip K Maini.

Abstract

Entities: Disease

Mesh：

Year: 2003 PMID： 12540881 DOI： 10.1038/421321a

Source DB: PubMed Journal: Nature ISSN： 0028-0836 Impact factor: 49.962

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Cited

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47 in total

1. Stochastic elimination of cancer cells.

Authors: Franziska Michor; Martin A Nowak; Steven A Frank; Yoh Iwasa
Journal: Proc Biol Sci Date: 2003-10-07 Impact factor: 5.349

2. Modelling spatially regulated beta-catenin dynamics and invasion in intestinal crypts.

Authors: Philip J Murray; Jun-Won Kang; Gary R Mirams; Sung-Young Shin; Helen M Byrne; Philip K Maini; Kwang-Hyun Cho
Journal: Biophys J Date: 2010-08-04 Impact factor: 4.033

3. Genetic instability and clonal expansion.

Authors: Martin A Nowak; Franziska Michor; Yoh Iwasa
Journal: J Theor Biol Date: 2006-01-06 Impact factor: 2.691

Review 4. Clinical implications of in silico mathematical modeling for glioblastoma: a critical review.

Authors: Maria Protopapa; Anna Zygogianni; Georgios S Stamatakos; Christos Antypas; Christina Armpilia; Nikolaos K Uzunoglu; Vassilis Kouloulias
Journal: J Neurooncol Date: 2017-10-28 Impact factor: 4.130

5. Using Fractal Geometry and Universal Growth Curves as Diagnostics for Comparing Tumor Vasculature and Metabolic Rate With Healthy Tissue and for Predicting Responses to Drug Therapies.

Authors: Van M Savage; Alexander B Herman; Geoffrey B West; Kevin Leu
Journal: Discrete Continuous Dyn Syst Ser B Date: 2013-06 Impact factor: 1.327

Mathematical oncology: cancer summed up.

1. Stochastic elimination of cancer cells.

2. Modelling spatially regulated beta-catenin dynamics and invasion in intestinal crypts.

3. Genetic instability and clonal expansion.

Review 4. Clinical implications of in silico mathematical modeling for glioblastoma: a critical review.

5. Using Fractal Geometry and Universal Growth Curves as Diagnostics for Comparing Tumor Vasculature and Metabolic Rate With Healthy Tissue and for Predicting Responses to Drug Therapies.

6. A hybrid model for three-dimensional simulations of sprouting angiogenesis.

7. A confidence building exercise in data and identifiability: Modeling cancer chemotherapy as a case study.

8. Stochastic tunnels in evolutionary dynamics.

9. Spatial invasion dynamics on random and unstructured meshes: implications for heterogeneous tumor populations.

10. Systems biology and cancer prevention: all options on the table.