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乳腺癌辅助性FEC化疗患者的预处理血液学实验室值可预测是否会出现过度骨髓抑制。

Pretreatment haematological laboratory values predict for excessive myelosuppression in patients receiving adjuvant FEC chemotherapy for breast cancer.

作者信息

Jenkins P, Freeman S

机构信息

Gloucestershire Oncology Centre, Cheltenham General Hospital, Cheltenham, UK.

出版信息

Ann Oncol. 2009 Jan;20(1):34-40. doi: 10.1093/annonc/mdn560. Epub 2008 Aug 13.

DOI:10.1093/annonc/mdn560
PMID:18701428
Abstract

BACKGROUND

A predictive model that identifies patients at risk of excessive neutropenia following chemotherapy would be valuable in guiding the use of supportive therapies.

PATIENTS AND METHODS

We conducted a retrospective analysis of 741 patients who had received adjuvant 5-fluorouracil, epirubicin, cyclophosphamide (FEC) chemotherapy for breast cancer. The cause of every schedule alteration was identified. The ability of pretreatment haematological indices to predict for excessive myelosuppression was assessed.

RESULTS

Pretreatment absolute neutrophil count (ANC) and absolute lymphocyte count (ALC) were strongly associated with the risk of neutropenic events (NEs), febrile neutropenia (FN) or receiving suboptimal chemotherapy dose intensity (DI<85%). The timing and pattern of NEs suggest that they reflect intrinsic chemosensitivity rather than cumulative toxicity and that FN results from chance infection rather than protracted myelosuppression. By combining quintiles on the basis of the rank order of ANC and ALC, we defined five groups of patients with variable risks of NE (18%-52%), DI<85% (9%-36%) and FN (4%-21%).

CONCLUSIONS

Pretreatment differential white blood cell count can be used to identify patients at increased risk of significant myelosuppression with FEC chemotherapy. Patients in the highest risk group have a risk of FN>20% and would qualify for primary prophylaxis with granulocyte colony-stimulating factor support under current guidelines.

摘要

背景

一种能够识别化疗后发生严重中性粒细胞减少风险患者的预测模型,对于指导支持性治疗的使用具有重要价值。

患者与方法

我们对741例接受辅助性5-氟尿嘧啶、表柔比星、环磷酰胺(FEC)化疗的乳腺癌患者进行了回顾性分析。确定了每次化疗方案改变的原因。评估了治疗前血液学指标预测严重骨髓抑制的能力。

结果

治疗前绝对中性粒细胞计数(ANC)和绝对淋巴细胞计数(ALC)与中性粒细胞减少事件(NE)、发热性中性粒细胞减少(FN)或接受次优化疗剂量强度(DI<85%)的风险密切相关。NE的发生时间和模式表明,它们反映的是内在化学敏感性而非累积毒性,且FN是由偶然感染而非持续性骨髓抑制导致的。通过根据ANC和ALC的排序将患者分为五个五分位数组,我们定义了五组具有不同NE风险(18%-52%)、DI<85%风险(9%-36%)和FN风险(4%-21%)的患者。

结论

治疗前白细胞分类计数可用于识别接受FEC化疗时发生显著骨髓抑制风险增加的患者。最高风险组的患者发生FN的风险>20%,根据当前指南有资格接受粒细胞集落刺激因子支持的一级预防。

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