Literature DB >> 26597528

The mathematics of cancer: integrating quantitative models.

Philipp M Altrock1,2, Lin L Liu1, Franziska Michor1.   

Abstract

Mathematical modelling approaches have become increasingly abundant in cancer research. The complexity of cancer is well suited to quantitative approaches as it provides challenges and opportunities for new developments. In turn, mathematical modelling contributes to cancer research by helping to elucidate mechanisms and by providing quantitative predictions that can be validated. The recent expansion of quantitative models addresses many questions regarding tumour initiation, progression and metastases as well as intra-tumour heterogeneity, treatment responses and resistance. Mathematical models can complement experimental and clinical studies, but also challenge current paradigms, redefine our understanding of mechanisms driving tumorigenesis and shape future research in cancer biology.

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Year:  2015        PMID: 26597528     DOI: 10.1038/nrc4029

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


  194 in total

1.  Effector memory T cells, early metastasis, and survival in colorectal cancer.

Authors:  Franck Pagès; Anne Berger; Matthieu Camus; Fatima Sanchez-Cabo; Anne Costes; Robert Molidor; Bernhard Mlecnik; Amos Kirilovsky; Malin Nilsson; Diane Damotte; Tchao Meatchi; Patrick Bruneval; Paul-Henri Cugnenc; Zlatko Trajanoski; Wolf-Herman Fridman; Jérôme Galon
Journal:  N Engl J Med       Date:  2005-12-22       Impact factor: 91.245

2.  Evolutionary pathways in BRCA1-associated breast tumors.

Authors:  Filipe C Martins; Subhajyoti De; Vanessa Almendro; Mithat Gönen; So Yeon Park; Joanne L Blum; William Herlihy; Gabrielle Ethington; Stuart J Schnitt; Nadine Tung; Judy E Garber; Katharina Fetten; Franziska Michor; Kornelia Polyak
Journal:  Cancer Discov       Date:  2012-04-10       Impact factor: 39.397

Review 3.  Lessons from the cancer genome.

Authors:  Levi A Garraway; Eric S Lander
Journal:  Cell       Date:  2013-03-28       Impact factor: 41.582

4.  A hybrid cellular automaton model of clonal evolution in cancer: the emergence of the glycolytic phenotype.

Authors:  P Gerlee; A R A Anderson
Journal:  J Theor Biol       Date:  2007-11-04       Impact factor: 2.691

5.  Mutation and cancer: statistical study of retinoblastoma.

Authors:  A G Knudson
Journal:  Proc Natl Acad Sci U S A       Date:  1971-04       Impact factor: 11.205

Review 6.  Adrenal metastases in lung cancer: clinical implications of a mathematical model.

Authors:  Lyudmila Bazhenova; Paul Newton; Jeremy Mason; Kelly Bethel; Jorge Nieva; Peter Kuhn
Journal:  J Thorac Oncol       Date:  2014-04       Impact factor: 15.609

7.  The temporal order of genetic and pathway alterations in tumorigenesis.

Authors:  Moritz Gerstung; Nicholas Eriksson; Jimmy Lin; Bert Vogelstein; Niko Beerenwinkel
Journal:  PLoS One       Date:  2011-11-01       Impact factor: 3.240

8.  Dynamics of mutant cells in hierarchical organized tissues.

Authors:  Benjamin Werner; David Dingli; Tom Lenaerts; Jorge M Pacheco; Arne Traulsen
Journal:  PLoS Comput Biol       Date:  2011-12-01       Impact factor: 4.475

9.  An Evolutionary Approach for Identifying Driver Mutations in Colorectal Cancer.

Authors:  Jasmine Foo; Lin L Liu; Kevin Leder; Markus Riester; Yoh Iwasa; Christoph Lengauer; Franziska Michor
Journal:  PLoS Comput Biol       Date:  2015-09-17       Impact factor: 4.475

10.  A two-stage theory of carcinogenesis in relation to the age distribution of human cancer.

Authors:  P ARMITAGE; R DOLL
Journal:  Br J Cancer       Date:  1957-06       Impact factor: 7.640

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  150 in total

Review 1.  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 2.  Intracellular and intercellular signaling networks in cancer initiation, development and precision anti-cancer therapy: RAS acts as contextual signaling hub.

Authors:  Peter Csermely; Tamás Korcsmáros; Ruth Nussinov
Journal:  Semin Cell Dev Biol       Date:  2016-07-06       Impact factor: 7.727

Review 3.  The evolution of tumour phylogenetics: principles and practice.

Authors:  Russell Schwartz; Alejandro A Schäffer
Journal:  Nat Rev Genet       Date:  2017-02-13       Impact factor: 53.242

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

Authors:  Marisa C Eisenberg; Harsh V Jain
Journal:  J Theor Biol       Date:  2017-07-19       Impact factor: 2.691

5.  Modelling the evolution of viral oncogenesis.

Authors:  Carmen Lía Murall; Samuel Alizon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-05-27       Impact factor: 6.237

Review 6.  Evolutionary scalpels for dissecting tumor ecosystems.

Authors:  Daniel I S Rosenbloom; Pablo G Camara; Tim Chu; Raul Rabadan
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2016-12-05       Impact factor: 10.680

Review 7.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03

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.  Dynamic interplay between tumour, stroma and immune system can drive or prevent tumour progression.

Authors:  R J Seager; Cynthia Hajal; Fabian Spill; Roger D Kamm; Muhammad H Zaman
Journal:  Converg Sci Phys Oncol       Date:  2017-07-28

Review 10.  Harnessing Tumor Evolution to Circumvent Resistance.

Authors:  Katherine L Pogrebniak; Christina Curtis
Journal:  Trends Genet       Date:  2018-06-11       Impact factor: 11.639

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