Early Diagnosis of Chemotherapy-Linked Cardiotoxicity in Breast Cancer Patients Using Conventional Biomarker Panel: A Prospective Study Protocol.

IF 3.3
Saule Balmagambetova, Zhenisgul Tlegenova, Bekbolat Zholdin, Gulnara Kurmanalina, Iliada Talipova, Arip Koyshybaev, Dinara Nurmanova, Gulmira Sultanbekova, Mira Baspayeva, Saule Madinova, Kulparshan Kubenova, Ainel Urazova
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引用次数: 6

Abstract

The prognosis of cancer treatment depends on, among other aspects, the cardiotoxicity of chemotherapy. This research aims to create a feasible algorithm for the early diagnosis of antitumor therapy cardiotoxicity in breast cancer patients. The paper represents a protocol for a prospective cohort study with N 120 eligible participants admitted for treatment with anthracyclines and/or trastuzumab. These patients will be allocated into four risk groups regarding potential cardiotoxic complications. Patients will be examined five times every three months for six biomarkers,: cardiac troponin I (cTnI), brain natriuretic peptide (BNP), C-reactive protein (CRP), myeloperoxidase (MPO), galectin-3 (Gal-3), and D-dimer, simultaneously with echocardiographic methods, including speckle tracking. The adjusted relative risk (aOR) of interrupting an entire course of chemotherapy due to cardiotoxic events will be assessed using multiple analyses of proportional Cox risks. The Cox model will also assess associations between baseline biomarker values and time to cardiotoxic events. Moreover, partly conditional survival models will be applied to determine associations between repeated assessments of changes in biomarkers from baseline and time to cancer therapy-related cardiac dysfunction. All models will be adjusted for cancer therapy regimen, baseline LVEF, groups at risk, baseline biomarker values, and age. The decision-tree and principal component analysis (PCA) methods will also be applied. Thus, feasible patterns will be detected.

Abstract Image

使用传统生物标志物小组对乳腺癌患者化疗相关心脏毒性的早期诊断:一项前瞻性研究方案
癌症治疗的预后取决于化疗的心脏毒性等因素。本研究旨在为乳腺癌患者抗肿瘤治疗心脏毒性的早期诊断创造一种可行的算法。该论文代表了一项前瞻性队列研究的方案,有120名符合条件的参与者入院接受蒽环类药物和/或曲妥珠单抗治疗。这些患者将根据潜在的心脏毒性并发症被分为四个风险组。患者将每3个月检查5次6种生物标志物:心肌肌钙蛋白I (cTnI)、脑利钠肽(BNP)、c反应蛋白(CRP)、髓过氧化物酶(MPO)、半乳糖凝集素-3 (Gal-3)和d -二聚体,同时采用超声心动图方法,包括斑点追踪。由于心脏毒性事件而中断整个化疗过程的调整相对风险(aOR)将通过比例Cox风险的多重分析来评估。Cox模型还将评估基线生物标志物值与心脏毒性事件发生时间之间的关系。此外,部分条件生存模型将用于确定从基线和时间开始的生物标志物变化的重复评估与癌症治疗相关心功能障碍之间的关联。所有模型将根据癌症治疗方案、基线LVEF、风险组、基线生物标志物值和年龄进行调整。决策树和主成分分析(PCA)方法也将被应用。因此,可行的模式将被检测到。
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