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FTIR 光谱法作为一种潜在的非侵入性儿科前体 B 淋巴细胞白血病筛查工具的初步研究。

A Preliminary Study of FTIR Spectroscopy as a Potential Non-Invasive Screening Tool for Pediatric Precursor B Lymphoblastic Leukemia.

机构信息

Department of Pediatrics, Institute of Medical Sciences, Medical College, University of Rzeszow, Warzywna 1A, 35-310 Rzeszow, Poland.

Clinic of Pediatric Oncology and Hematology, State Hospital 2 in Rzeszow, Lwowska 60, 35-301 Rzeszow, Poland.

出版信息

Molecules. 2021 Feb 22;26(4):1174. doi: 10.3390/molecules26041174.

Abstract

Early detection of the most common pediatric neoplasm, B-cell precursor lymphoblastic leukemia (BCP-ALL), is challenging and requires invasive bone marrow biopsies. The purpose of this study was to establish new biomarkers for early screening to detect pediatric leukemia. In this small cohort study, Fourier transform infrared (FTIR) spectra were obtained from blood sera of 10 patients with BCP-ALL and were compared with the control samples from 10 children with some conditions other than neoplasm. Using various analytical approaches, including a new physical model, some significant differences were observable. The most important include: the different peak area ratio 2965/1645 cm ( = 0.002); the lower average percentage of both β-sheet and β-turn protein structures in the sera of BCP-ALL patients ( = 0.03); an AdaBoost-based predictive model for classifying healthy vs. BCP-ALL patients with 85% accuracy; and the phase shift of the first derivative in the spectral range 1050-1042 cm correlating with white blood cell (WBC) and blast cell count in BCP-ALL patients contrary to the samples obtained from healthy controls. Although verification in larger groups of patients will be necessary, these promising results suggest that FTIR spectroscopy may have future potential for the early screening of BCP-ALL.

摘要

早期检测最常见的儿科肿瘤,B 细胞前体淋巴母细胞白血病(BCP-ALL)具有挑战性,需要进行侵入性骨髓活检。本研究的目的是建立新的生物标志物进行早期筛查以检测儿科白血病。在这项小队列研究中,从 10 例 BCP-ALL 患者的血清中获得傅里叶变换红外(FTIR)光谱,并与 10 例患有非肿瘤疾病的儿童的对照样本进行比较。使用各种分析方法,包括一种新的物理模型,观察到一些显著差异。最重要的包括:2965/1645 cm 峰面积比不同(=0.002);BCP-ALL 患者血清中β-折叠和β-转角蛋白结构的平均百分比较低(=0.03);基于 AdaBoost 的预测模型可将健康与 BCP-ALL 患者进行分类,准确率为 85%;与来自健康对照的样本相反,在光谱范围 1050-1042 cm 处的一阶导数的相移与 BCP-ALL 患者的白细胞(WBC)和原始细胞计数相关。尽管需要在更大的患者群体中进行验证,但这些有希望的结果表明,FTIR 光谱可能具有早期筛查 BCP-ALL 的未来潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70c7/7926870/a434dd3bb0b3/molecules-26-01174-g001.jpg

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