A proposed model for the prediction of response to endocrine therapy in breast cancer from the estrogen receptor status of one site and the number of metastatic sites.
A mathematical model for prediction of response to endocrine therapy of breast cancer has been developed based on a clonal concept of metastatic spread. The model includes an expression of the likelihood of response of an estrogen receptor-positive site and an expression of the concordance of receptor assays when multiple sites are assayed. Both of these are raised to a power function based on the number of sites of metastases to yield a predicted response rate. An excellent fit of the predictions of this mathematical model and response data from a series of patients receiving endocrine therapy was observed. This model provides a worthwhile insight into the biology of response to endocrine therapy. The model may be extended and refined through additional analyses.
D001665:Binding Sites; D001943:Breast Neoplasms / Q000188:drug therapy* / Q000378:metabolism; D005260:Female; D006728:Hormones / Q000627:therapeutic use*; D006801:Humans; D008954:Models, Biological; D009362:Neoplasm Metastasis; D011336:Probability; D011379:Prognosis; D011960:Receptors, Estrogen / Q000378:metabolism*
D006728:Hormones; D011960:Receptors, Estrogen