Clare S E, Nakhlis F, Panetta J C
Department of Surgery, Northwestern University Medical School, Northwestern Memorial Hospital, Chicago, Illinois 60611-3010, USA.
Breast Cancer Res. 2000;2(6):430-5. doi: 10.1186/bcr90. Epub 2000 Jul 21.
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.
尽管已经有有效的化疗药物可供大部分乳腺癌女性使用，但乳腺癌死亡率仅略有改善。为了改进乳腺癌治疗策略，人们开发了多种数学模型，这些模型描述了乳腺癌的自然病史以及治疗对癌症的影响。这些模型有助于研究人员快速有效地开发、量化和测试各种治疗假设。本综述讨论了其中的几种模型，重点关注它们如何用于预测转移生长的起始时间、手术治疗对转移灶生长的影响以及化疗的最佳给药策略。
