解吸电喷雾质谱成像技术可将小儿脑组织学中肿瘤促发的变化与正常实质区分开来

IF 3.9 3区 工程技术 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Biomedicines Pub Date : 2024-11-13 DOI:10.3390/biomedicines12112593
Ana L Seidinger, Felipe L T Silva, Mayara F Euzébio, Anna C Krieger, João Meidanis, Junier M Gutierrez, Thais M S Bezerra, Luciano Queiroz, Alex A Rosini Silva, Iva L Hoffmann, Camila M M Daiggi, Helder Tedeschi, Marcos N Eberlin, Livia S Eberlin, José A Yunes, Andreia M Porcari, Izilda A Cardinalli
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引用次数: 0

摘要

背景:中枢神经系统(CNS)肿瘤是儿童和青少年时期第二大常见肿瘤,仅次于白血病。尽管采用了分子分类法并改进了化疗、手术和放疗相结合的方案,中枢神经系统肿瘤仍是这一年龄组中致死率最高的肿瘤。质谱成像(MSI)是绘制组织切片中分子种类分布图的有力工具。在 MSI 技术中,解吸电喷雾离子化技术(DESI-MSI)已被证明能可靠地与不同成人癌症类型的病理评估相一致,而且在术中使用的时间范围也是可以接受的。方法:在本研究中,我们通过对 162 例小儿脑活检样本进行分析,并根据肿瘤的组织病理学和分子特征报告结果,旨在研究 DESI-MSI 所获得的化学特征,并将其作为术中手术管理工具。结果:通过DESI-MSI获得的二维化学图像,我们可以区分肿瘤转化组织和非肿瘤组织,使用Lasso对数据进行统计建模后,训练集的准确率为96.8%,验证集的准确率为94.3%。此外,通过DESI-MSI分析,高级别和低级别肿瘤也显示出不同的化学特征。我们还提供证据表明,DESI-MSI获得的脑肿瘤化学特征与脑活检中发现的基于甲基化的分子类别和特异性免疫分型相关。结论:本文介绍的结果支持在不久的将来将DESI-MSI分析作为术中辅助工具纳入小儿脑肿瘤治疗的前瞻性临床试验中。
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Tumor-Promoted Changes in Pediatric Brain Histology Can Be Distinguished from Normal Parenchyma by Desorption Electrospray Ionization Mass Spectrometry Imaging.

Background: Central nervous system (CNS) tumors are the second most frequent type of neoplasm in childhood and adolescence, after leukemia. Despite the incorporation of molecular classification and improvement of protocols combining chemotherapy, surgery, and radiotherapy, CNS tumors are still the most lethal neoplasm in this age group. Mass spectrometry imaging (MSI) is a powerful tool to map the distribution of molecular species in tissue sections. Among MSI techniques, desorption electrospray ionization (DESI-MSI) has been demonstrated to enable reliable agreement with the pathological evaluation of different adult cancer types, along with an acceptable time scale for intraoperative use. Methods: In the present work, we aimed to investigate the chemical profile obtained by DESI-MSI as an intraoperative surgical management tool by profiling 162 pediatric brain biopsies and reporting the results according to the histopathology and molecular profile of the tumors. Results: The 2D chemical images obtained by DESI-MSI allowed us to distinguish tumor-transformed tissue from non-tumor tissue with an accuracy of 96.8% in the training set and 94.3% in the validation set after statistical modeling of our data using Lasso. In addition, high-grade and low-grade tumors also displayed a distinct chemical profile when analyzed by DESI-MSI. We also provided evidence that the chemical profile of brain tumors obtained by DESI-MSI correlates with methylation-based molecular classes and specific immunophenotypes found in brain biopsies. Conclusions: The results presented herein support the incorporation of DESI-MSI analysis as an intraoperative assistive tool in prospective clinical trials for pediatric brain tumors management in the near future.

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来源期刊
Biomedicines
Biomedicines Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
5.20
自引率
8.50%
发文量
2823
审稿时长
8 weeks
期刊介绍: Biomedicines (ISSN 2227-9059; CODEN: BIOMID) is an international, scientific, open access journal on biomedicines published quarterly online by MDPI.
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