Arriagada Rodrigo, Rutqvist Lars-Erik, Johansson Hemming, Kramar Andrew, Rotstein Sam
Karolinska Institutet, Stockholm, Sweden.
Acta Oncol. 2008;47(6):1113-21. doi: 10.1080/02841860701829661.
Prediction of distant metastases is of paramount importance in the knowledge and management of breast cancer patients. The objective of this study was to assess conventional prognostic factors in a large database of patients with early breast cancer, including those with small tumors diagnosed through regional screening, to determine the risk of distant dissemination.
The study included 4,797 patients of the Stockholm database who did not receive systemic adjuvant treatments. The main endpoint was metastasis free-interval. Individual risks of distant metastasis were estimated using the regression coefficients of the significant prognostic factors in Cox multivariate analyses. For each level of metastatic risk the pattern of failure was analyzed by a model assuming competing risks.
The three independent significant prognostic factors were histologic tumor size, number of involved axillary lymph nodes and progesterone receptor level. However, the latter factor added limited additional information of borderline clinical significance. Thus, subsequent estimations were done with a prognostic score taking into account only the former two most performant factors in the whole population. The risk of distant metastasis of observed values of tumor size categories fitted with published results of a series containing significantly larger tumors. A large variation of tumor size predicts 10-year distant metastasis risk ranging from below 10% up to 90%. Tumors of 10 mm or less had a 10-year metastatic risk of less than 10%.
The results of this study are consistent with a linear effect of tumor size, within the range of data, on 10-year distant dissemination probabilities. Further refinement on prognostic value is needed for tumors of 15 mm or less.
远处转移的预测对于乳腺癌患者的认知和治疗至关重要。本研究的目的是在一个大型早期乳腺癌患者数据库中评估传统预后因素,包括通过区域筛查诊断出的小肿瘤患者,以确定远处转移的风险。
该研究纳入了斯德哥尔摩数据库中4797例未接受全身辅助治疗的患者。主要终点是无转移间期。使用Cox多变量分析中显著预后因素的回归系数估计远处转移的个体风险。对于每个转移风险水平,通过假设竞争风险的模型分析失败模式。
三个独立的显著预后因素是组织学肿瘤大小、腋窝淋巴结受累数目和孕激素受体水平。然而,后一个因素增加的额外信息有限,临床意义不明确。因此,随后仅考虑前两个在总体人群中表现最佳的因素进行预后评分估计。肿瘤大小类别的观察值的远处转移风险与一系列包含明显更大肿瘤的已发表结果相符。肿瘤大小的较大差异预测10年远处转移风险从低于10%到高达90%不等。10毫米或更小的肿瘤10年转移风险小于10%。
本研究结果与在数据范围内肿瘤大小对10年远处转移概率的线性影响一致。对于15毫米或更小的肿瘤,需要进一步完善其预后价值。