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

Clare, Susan E.; Nakhlis, Faina; Panetta, John C.

doi:10.1186/bcr90

Cited by 64 publications

(44 citation statements)

References 37 publications

(41 reference statements)

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“…(23,24,27 -32) Using mathematical models, several investigators demonstrate how primary tumours may require years (sometimes decades) growth before becoming clinically detectable. (19,22,23) In contrast, locally recurrent tumours often develop during the first two years after primary tumour removal. (16)(17)(18)(19)(20)27,(33)(34)(35)(36) This may represent an acceleration in growth, a phenomenon that is replicated accurately in several different animal models.…”

Section: The Issuesmentioning

confidence: 93%

“…in adjacent tissue) may follow the incomplete removal of any tumour. (17)(18)(19)(20)(21)(22) Early systemic recurrence (i.e. secondary tumors) is most often associated with tumours such as melanoma and sarcoma.…”

Section: The Issuesmentioning

confidence: 99%

“…(17)(18)(19)(20)(21)(22) Late recurrence is often thought to reflect the activation of previously dormant secondary tumours. (23) ''Dormancy'' is a state in which tumor cell proliferation is finely balanced by cell death.…”

Section: The Issuesmentioning

confidence: 99%

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Cancer surgery: risks and opportunities

et al. 2006

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In the recent past, several papers have pointed to the possibility that tumour removal generates a permissive environment in which tumour growth is potentiated. This phenomenon has been coined "perioperative tumour growth" and whilst it represents a departure in terms of our attitude to the surgical process, this concept was first hinted at by Paget(1) himself. Despite this, the time interval immediately before and after cancer surgery (i.e. the perioperative period) remains an underutilised interval during which chemotherapeutic regimens are rarely implemented. Herein, we present a summarised review of the literature that supports the concept that tumour removal may potentiate the growth of residual neoplastic disease. We also outline current knowledge regarding underlying mechanisms and in this manner highlight potential therapeutic entry points. Finally, we emphasise the urgent need for trials of agents that could protect patients against the harmful host-tumour interactions that may occur during the perioperative period.

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Section: The Issuesmentioning

confidence: 93%

Section: The Issuesmentioning

confidence: 99%

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Cancer surgery: risks and opportunities

et al. 2006

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“…It suggests that an antiangiogenic drug given before surgery or timing surgery to the menstrual cycle for young women will reduce growth stimulation from surgery. This model has spawned a few clinical trials and logically could lead to metronomic therapy protocols [54-60]. The fundamental difference in this approach is that it specifies and quantifies the inherently intermittent or saltatory nature of tumor growth.…”

Section: Mathematical and Computer Models Of Breast Cancer Growthmentioning

confidence: 99%

Recent translational research: computational studies of breast cancer

et al. 2004

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The combination of mathematics -queen of sciences -and the general utility of computers has been used to make important inroads into insight-providing breast cancer research and clinical aids. These developments are in two broad areas. First, they provide useful prognostic guidelines for individual patients based on historic evidence. Second, by suggesting numeric tumor growth laws that are correlated to clinical parameters, they permit development of biologically relevant theories and comparison with patient data to help us understand complex biologic processes. These latter studies have produced many new ideas that are testable in clinical trials. In this review we discuss these developments from a clinical perspective, and ask whether and how they translate into useful tools for patient treatment.

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“…A great deal of effort has been pitched at statistical studies of these data on recurrence and mortality in breast cancer and some mathematical modelling (for a review see [13]) has also tried to infer plausible tumour growth profiles and other parameters which can explain the pattern of recurrences.…”

Section: Models Of Recurrence In Breast Cancermentioning

confidence: 99%

Mathematical Modelling of Tumour Dormancy

Page¹

2009

Math. Model. Nat. Phenom.

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Abstract. Many tumours undergo periods in which they apparently do not grow but remain at a roughly constant size for extended periods. This is termed tumour dormancy. The mechanisms responsible for dormancy include failure to develop an internal blood supply, individual tumour cells exiting the cell cycle and a balance between the tumour and the immune response to it. Tumour dormancy is of considerable importance in the natural history of cancer. In many cancers, and in particular in breast cancer, recurrence can occur many years after surgery to remove the primary tumour, following a long period of occult disease. Mathematical modelling suggested that continuous growth of tumours was incompatible with data of the times of recurrence in breast cancer, suggesting that tumour dormancy was a common phenomenon. Modelling has also been applied to understanding the mechanisms responsible for dormancy, how they can be manipulated and the implications for cancer therapy. Here, the literature on mathematical modelling of tumour dormancy is reviewed. In conclusion, promising future directions for research are discussed.

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

Cited by 64 publications

References 37 publications

Cancer surgery: risks and opportunities

Cancer surgery: risks and opportunities

Recent translational research: computational studies of breast cancer

Mathematical Modelling of Tumour Dormancy

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