Search for nutritional and inflammatory marker ratios to predict neutropenia in FEC therapy for breast cancer: A retrospective observational study.

IF 0.9 4区 医学 Q4 PHARMACOLOGY & PHARMACY International journal of clinical pharmacology and therapeutics Pub Date : 2022-10-01 DOI:10.5414/CP204264
Toshiki Nakamura, Hajime Matsubara
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Abstract

Objective: Nutritional and inflammatory marker ratios are known to predict response to chemotherapy in breast cancer, but whether they predict adverse effects caused by chemotherapy remains unclear. We investigated whether nutritional and inflammatory marker ratios before starting FEC therapy (5-fluorouracil, epirubicin, and cyclophosphamide) predict grade 4 neutropenia as a serious adverse effect.

Materials and methods: 61 patients with breast cancer who started FEC therapy for the first time as preoperative or postoperative chemotherapy were studied. Relevant nutritional and inflammatory marker ratios were compared between patients who developed grade 4 neutropenia (n = 44) and those who did not (n = 17).

Results: In univariate analysis, occurrence of neutropenia was related significantly (p < 0.05) to pre-FEC-therapy white blood cell count, platelet count, neutrophil count, lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and modified Glasgow prognostic score. Analysis using cutoff values obtained from receiver operating characteristic curves showed that LMR, NLR, and PLR predicted grade 4 neutropenia. However, multivariate logistic regression analysis identified no independent factor associated with grade 4 neutropenia. A post-hoc power analysis revealed an inadequate sample size.

Conclusion: Inflammatory marker ratios, especially PLR, may predict grade 4 neutropenia caused by FEC therapy for breast cancer. Although multivariate analysis identified no independent predictive markers in this study due to inadequate sample size, further prospective large-scale research is needed to examine the usefulness of nutritional and inflammatory marker ratios for predicting adverse effects.

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寻找营养和炎症标志物比率来预测FEC治疗乳腺癌中性粒细胞减少:一项回顾性观察研究。
目的:已知营养和炎症标志物比率可以预测乳腺癌患者对化疗的反应,但它们是否能预测化疗引起的不良反应尚不清楚。我们调查了开始FEC治疗前的营养和炎症标志物比率(5-氟尿嘧啶、表柔比星和环磷酰胺)是否能预测4级中性粒细胞减少症的严重不良反应。材料与方法:对61例首次接受FEC治疗的乳腺癌患者进行术前或术后化疗。比较4级中性粒细胞减少症患者(n = 44)和未发生4级中性粒细胞减少症患者(n = 17)的相关营养和炎症标志物比率。结果:在单因素分析中,中性粒细胞减少的发生率显著相关(p)。结论:炎症标志物比率,特别是PLR,可以预测FEC治疗乳腺癌引起的4级中性粒细胞减少。尽管由于样本量不足,多变量分析在本研究中没有发现独立的预测指标,但需要进一步的前瞻性大规模研究来检验营养和炎症指标比例在预测不良反应方面的有效性。
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来源期刊
CiteScore
1.70
自引率
12.50%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The International Journal of Clinical Pharmacology and Therapeutics appears monthly and publishes manuscripts containing original material with emphasis on the following topics: Clinical trials, Pharmacoepidemiology - Pharmacovigilance, Pharmacodynamics, Drug disposition and Pharmacokinetics, Quality assurance, Pharmacogenetics, Biotechnological drugs such as cytokines and recombinant antibiotics. Case reports on adverse reactions are also of interest.
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