Department of Internal Medicine, Division of Endocrinology, University of Virginia, Charlottesville, VA 22908-1416, USA.
Horm Cancer. 2013 Aug;4(4):195-207. doi: 10.1007/s12672-013-0145-y. Epub 2013 Apr 30.
Small, occult, undiagnosed breast cancers are found at autopsy in up to 15.6 % of women dying from unrelated causes with an average of 7 % from eight separate studies. The mammographic detection threshold of breast tumors ranges from 0.88 to 1.66 cm in diameter based on the patient's age. Tumor growth rates, expressed as "effective doubling times," vary from 10 to >700 days. We previously reported two models, based on iterative analysis of these parameters, to describe the biologic behavior of undiagnosed, occult breast tumors. Our models facilitate interpretation of the Women's Health Initiative (WHI) and antiestrogen breast cancer prevention studies. A nude mouse xenograft model was used to validate our assumption that breast tumors grow in a log-linear fashion. We then used our previously reported occult tumor growth (OTG) and computer-simulated tumor growth models to analyze various clinical trial data. Parameters used in the OTG model included a 200-day effective doubling time, 7 % prevalence of occult tumors, and 1.16 cm detection threshold. These models had been validated by comparing predicted with observed incidence of breast cancer in eight different populations of women. Our model suggests that menopausal hormone therapy with estrogens plus a progestogen (E + P) in the WHI trial primarily promoted the growth of pre-existing, occult lesions and minimally initiated de novo tumors. We provide a potential explanation for the lack of an increase in breast cancer incidence in the subgroup of women in the WHI who had not received E + P prior to randomization. This result may have reflected a leftward skew in the distribution of occult tumor doublings and insufficient time for stimulated tumors to reach the detection threshold. Our model predicted that estrogen alone reduced the incidence of breast cancer as a result of apoptosis. Understanding of the biology of occult tumors suggests that breast cancer "prevention" with antiestrogens or aromatase inhibitors represents early treatment rather than a reduction in de novo tumor formation. Our models suggest that occult, undiagnosed tumors are prevalent, grow slowly, and are the biologic targets of a hormone therapy in menopausal women and of antiestrogen therapy for prevention.
在因其他原因死亡的女性中,尸检时发现的小而隐匿、未经诊断的乳腺癌高达 15.6%,其中有 7%来自八项独立研究。基于患者年龄,乳腺肿瘤的乳腺 X 线摄影检测阈值范围为 0.88 至 1.66 厘米。肿瘤生长速度用“有效倍增时间”表示,从 10 天到>700 天不等。我们之前根据这些参数的迭代分析报告了两种模型,以描述未诊断、隐匿性乳腺癌肿瘤的生物学行为。我们的模型有助于解释妇女健康倡议 (WHI) 和抗雌激素乳腺癌预防研究。我们使用裸鼠异种移植模型验证了我们的假设,即乳腺肿瘤呈对数线性生长。然后,我们使用之前报告的隐匿性肿瘤生长 (OTG) 和计算机模拟肿瘤生长模型来分析各种临床试验数据。OTG 模型中使用的参数包括 200 天的有效倍增时间、7%的隐匿性肿瘤患病率和 1.16 厘米的检测阈值。这些模型已经通过比较预测的和观察到的 8 个不同女性人群的乳腺癌发病率进行了验证。我们的模型表明,WHI 试验中的激素替代疗法(雌激素加孕激素)主要促进了先前存在的隐匿性病变的生长,并最小化地引发了新的肿瘤。我们为 WHI 试验中未接受 E+P 随机分组前的女性亚组中乳腺癌发病率没有增加提供了一个潜在的解释。这一结果可能反映了隐匿性肿瘤倍增的分布向左偏斜,以及刺激肿瘤达到检测阈值的时间不足。我们的模型预测,单独使用雌激素会导致乳腺癌的发病率降低,这是由于细胞凋亡。对隐匿性肿瘤生物学的认识表明,用抗雌激素或芳香化酶抑制剂进行乳腺癌“预防”代表了早期治疗,而不是减少新肿瘤的形成。我们的模型表明,隐匿性、未诊断的肿瘤很常见,生长缓慢,是绝经后妇女激素治疗和抗雌激素治疗预防的生物学靶点。