Patient-derived glioma organoids real time identification of IDH mutation, 1p/19q-codeletion and CDKN2A/B homozygous deletion with differential ion mobility spectrometry.

IF 3.2 2区 医学 Q2 CLINICAL NEUROLOGY
Ismaïl Hermelo, Ilkka Haapala, Meri Mäkelä, Dafne Jacome Sanz, Anton Kontunen, Markus Karjalainen, Philipp Müller, Kai Lehtimäki, Matti Nykter, Juhana Frösén, Hannu Haapasalo, Antti Roine, Niku Oksala, Kristiina Nordfors, Antti Vehkaoja, Joonas Haapasalo
{"title":"Patient-derived glioma organoids real time identification of IDH mutation, 1p/19q-codeletion and CDKN2A/B homozygous deletion with differential ion mobility spectrometry.","authors":"Ismaïl Hermelo, Ilkka Haapala, Meri Mäkelä, Dafne Jacome Sanz, Anton Kontunen, Markus Karjalainen, Philipp Müller, Kai Lehtimäki, Matti Nykter, Juhana Frösén, Hannu Haapasalo, Antti Roine, Niku Oksala, Kristiina Nordfors, Antti Vehkaoja, Joonas Haapasalo","doi":"10.1007/s11060-024-04891-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Extent of brain tumor resection continues to be one of the central decisions taken during standard of care in glioma patients. Here, we aimed to evaluate the most essential molecular factors, such as IDH (isocitrate dehydrogenase) mutation in gliomas classification with patient-derived glioma organoids (PGOs) using differential mobility spectrometry (DMS).</p><p><strong>Methods: </strong>we prospectively recruited 12 glioma patients, 6 IDH-mutated and 6 IDH wild-type tumors, from which PGOs were generated ex-vivo. Altogether, 320 PGOs DMS spectra were analyzed with a classifier algorithm based on linear discriminant analysis (LDA).</p><p><strong>Results: </strong>LDA model classification accuracy (CA) obtained between IDH-mutant and IDH wild-type PGOs was 90% (91% sensitivity and 89% specificity). Furthermore, 1p/19q codeletion classification within IDH mutant PGOs reached 98% CA (93% sensitivity and 99% specificity), while CDKN2A/B homozygous loss status had 86% CA (63% sensitivity 93% specificity).</p><p><strong>Conclusion: </strong>DMS suitability to differentiate IDH-mutated PGOs was thus validated in ex vivo cultured samples, PGOs. Preliminary results regarding 1p/19q codeleted PGOs and CDKN2A/B loss PGOs identification endorse testing in a prospective intraoperative glioma patient cohort. Our results reveal a sample classification set-up that is compatible with real-time intraoperative surgery guidance.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuro-Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11060-024-04891-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Extent of brain tumor resection continues to be one of the central decisions taken during standard of care in glioma patients. Here, we aimed to evaluate the most essential molecular factors, such as IDH (isocitrate dehydrogenase) mutation in gliomas classification with patient-derived glioma organoids (PGOs) using differential mobility spectrometry (DMS).

Methods: we prospectively recruited 12 glioma patients, 6 IDH-mutated and 6 IDH wild-type tumors, from which PGOs were generated ex-vivo. Altogether, 320 PGOs DMS spectra were analyzed with a classifier algorithm based on linear discriminant analysis (LDA).

Results: LDA model classification accuracy (CA) obtained between IDH-mutant and IDH wild-type PGOs was 90% (91% sensitivity and 89% specificity). Furthermore, 1p/19q codeletion classification within IDH mutant PGOs reached 98% CA (93% sensitivity and 99% specificity), while CDKN2A/B homozygous loss status had 86% CA (63% sensitivity 93% specificity).

Conclusion: DMS suitability to differentiate IDH-mutated PGOs was thus validated in ex vivo cultured samples, PGOs. Preliminary results regarding 1p/19q codeleted PGOs and CDKN2A/B loss PGOs identification endorse testing in a prospective intraoperative glioma patient cohort. Our results reveal a sample classification set-up that is compatible with real-time intraoperative surgery guidance.

利用差分离子迁移谱法实时鉴定源自患者的胶质瘤组织细胞的IDH突变、1p/19q编码缺失和CDKN2A/B同源染色体缺失。
目的:脑肿瘤切除范围仍然是胶质瘤患者标准治疗过程中的核心决策之一。方法:我们前瞻性地招募了12例胶质瘤患者,其中6例为IDH突变型肿瘤,6例为IDH野生型肿瘤。我们使用基于线性判别分析(LDA)的分类器算法分析了320个PGOs的DMS光谱:结果:IDH突变型和IDH野生型PGO之间的线性判别分析模型分类准确率(CA)为90%(灵敏度为91%,特异度为89%)。此外,IDH突变型PGO中1p/19q缺码分类的CA达到98%(灵敏度93%,特异性99%),而CDKN2A/B同源缺失状态的CA为86%(灵敏度63%,特异性93%):因此,DMS 在体内外培养样本和 PGO 中区分 IDH 突变 PGO 的适用性得到了验证。有关 1p/19q 缺失 PGOs 和 CDKN2A/B 缺失 PGOs 识别的初步结果支持在前瞻性胶质瘤术中患者队列中进行测试。我们的结果揭示了一种与实时术中手术指导相兼容的样本分类设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Neuro-Oncology
Journal of Neuro-Oncology 医学-临床神经学
CiteScore
6.60
自引率
7.70%
发文量
277
审稿时长
3.3 months
期刊介绍: The Journal of Neuro-Oncology is a multi-disciplinary journal encompassing basic, applied, and clinical investigations in all research areas as they relate to cancer and the central nervous system. It provides a single forum for communication among neurologists, neurosurgeons, radiotherapists, medical oncologists, neuropathologists, neurodiagnosticians, and laboratory-based oncologists conducting relevant research. The Journal of Neuro-Oncology does not seek to isolate the field, but rather to focus the efforts of many disciplines in one publication through a format which pulls together these diverse interests. More than any other field of oncology, cancer of the central nervous system requires multi-disciplinary approaches. To alleviate having to scan dozens of journals of cell biology, pathology, laboratory and clinical endeavours, JNO is a periodical in which current, high-quality, relevant research in all aspects of neuro-oncology may be found.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信