ReviewBreast cancer research : BCR2000
Molecular biology of breast cancer metastasis. The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer.
Review in Breast cancer research : BCR, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Estimating latent, dynamic processes of breast cancer tumour growth and distant metastatic spread from mammography screening data.Statistical methods in medical research · 2022Observational
- Article
- Article
- Consolidated mathematical growth model of the primary tumor and secondary distant metastases of breast cancer (CoMPaS).PloS one · 2018Article
- Article
- Modeling drug resistance in a conjoint normal-tumor setting.Theoretical biology & medical modelling · 2015Article
- Simplifying the complexity of resistance heterogeneity in metastasis.Trends in molecular medicine · 2014Article
- Article
- Evolutionary dynamics of BRCA1 alterations in breast tumorigenesis.Journal of theoretical biology · 2011Article
- Perspectives on tissue interactions in development and disease.Current molecular medicine · 2010Review
- Mathematical modeling as a tool for planning anticancer therapy.European journal of pharmacology · 2009Review
- Modeling the effect of tumor size in early breast cancer.Annals of surgery · 2005Article
- Recent translational research: computational studies of breast cancer.Breast cancer research : BCR · 2005Review
- Review
- Molecular biology of breast cancer metastasis. 'Has it spread?': disarming one of the most terrifying questions.Breast cancer research : BCR · 2000Review
- The dynamics of drug resistance: a mathematical perspective.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapyReview
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.