Literature DB >> 11250737

Molecular biology of breast cancer metastasis. The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer.

S E Clare1, F Nakhlis, J C Panetta.   

Abstract

Breast cancer mortality rates have shown only modest improvement despite the advent of effective chemotherapeutic agents which have been administered to a large percentage of women with breast cancer. In an effort to improve breast cancer treatment strategies, a variety of mathematical models have been developed that describe the natural history of breast cancer and the effects of treatment on the cancer. These models help researchers to develop, quantify, and test various treatment hypotheses quickly and efficiently. The present review discusses several of these models, with a focus on how they have been used to predict the initiation time of metastatic growth, the effect of operative therapy on the growth of metastases, and the optimal administration strategy for chemotherapy.

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Year:  2000        PMID: 11250737      PMCID: PMC138666          DOI: 10.1186/bcr90

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


  42 in total

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Journal:  Nature       Date:  1976-12-09       Impact factor: 49.962

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Authors:  T G Karrison; D J Ferguson; P Meier
Journal:  J Natl Cancer Inst       Date:  1999-01-06       Impact factor: 13.506

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Journal:  CA Cancer J Clin       Date:  1999 Jan-Feb       Impact factor: 508.702

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Journal:  Cancer Res       Date:  1988-12-15       Impact factor: 12.701

6.  Rationale for the use of alternating non-cross-resistant chemotherapy.

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Journal:  Cancer Treat Rep       Date:  1982-03

7.  Dormancy of micrometastases: balanced proliferation and apoptosis in the presence of angiogenesis suppression.

Authors:  L Holmgren; M S O'Reilly; J Folkman
Journal:  Nat Med       Date:  1995-02       Impact factor: 53.440

8.  Mammographic assessment of human breast cancer growth and duration.

Authors:  J A Spratt; D von Fournier; J S Spratt; E E Weber
Journal:  Cancer       Date:  1993-03-15       Impact factor: 6.860

9.  Report of the International Workshop on Screening for Breast Cancer.

Authors:  S W Fletcher; W Black; R Harris; B K Rimer; S Shapiro
Journal:  J Natl Cancer Inst       Date:  1993-10-20       Impact factor: 13.506

10.  Adjuvant chemotherapy with doxorubicin plus cyclophosphamide, methotrexate, and fluorouracil in the treatment of resectable breast cancer with more than three positive axillary nodes.

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Journal:  J Clin Oncol       Date:  1991-12       Impact factor: 44.544

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  15 in total

Review 1.  The dynamics of drug resistance: a mathematical perspective.

Authors:  Orit Lavi; Michael M Gottesman; Doron Levy
Journal:  Drug Resist Updat       Date:  2012-03-03       Impact factor: 18.500

Review 2.  Treatment of breast cancer with chemotherapy in combination with filgrastim: approaches to improving therapeutic outcome.

Authors:  Giuseppe Frasci
Journal:  Drugs       Date:  2002       Impact factor: 9.546

3.  Modeling the effect of tumor size in early breast cancer.

Authors:  Claire Verschraegen; Vincent Vinh-Hung; Gábor Cserni; Richard Gordon; Melanie E Royce; Georges Vlastos; Patricia Tai; Guy Storme
Journal:  Ann Surg       Date:  2005-02       Impact factor: 12.969

Review 4.  Perspectives on tissue interactions in development and disease.

Authors:  D W Strand; O E Franco; D Basanta; A R A Anderson; S W Hayward
Journal:  Curr Mol Med       Date:  2010-02       Impact factor: 2.222

5.  Evolutionary dynamics of BRCA1 alterations in breast tumorigenesis.

Authors:  Laura De Vargas Roditi; Franziska Michor
Journal:  J Theor Biol       Date:  2010-12-29       Impact factor: 2.691

6.  Bayesian enrichment strategies for randomized discontinuation trials.

Authors:  Lorenzo Trippa; Gary L Rosner; Peter Müller
Journal:  Biometrics       Date:  2011-06-29       Impact factor: 2.571

Review 7.  Mathematical modeling as a tool for planning anticancer therapy.

Authors:  Andrzej Swierniak; Marek Kimmel; Jaroslaw Smieja
Journal:  Eur J Pharmacol       Date:  2009-10-13       Impact factor: 4.432

8.  Simplifying the complexity of resistance heterogeneity in metastasis.

Authors:  Orit Lavi; James M Greene; Doron Levy; Michael M Gottesman
Journal:  Trends Mol Med       Date:  2014-01-31       Impact factor: 11.951

Review 9.  Molecular biology of breast cancer metastasis. 'Has it spread?': disarming one of the most terrifying questions.

Authors:  P S Steeg
Journal:  Breast Cancer Res       Date:  2000-07-21       Impact factor: 6.466

Review 10.  Recent translational research: computational studies of breast cancer.

Authors:  Michael Retsky; Romano Demicheli; William Hrushesky; John Speer; Douglas Swartzendruber; Robert Wardwell
Journal:  Breast Cancer Res       Date:  2004-12-17       Impact factor: 6.466

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