Evidence map›Paper›PMID 41761122›Full record

ArticleBMC cancer2026

Detection of IDH1.R132H mutant protein in plasma extracellular vesicles and its application in preoperative noninvasive precision diagnosis of glioma.

Minghang Liu, Kai Zhao, Chenxuan Yang, Guochen Sun, Dongdong Wu, Yanlian Yang, Bainan Xu

Abstract read
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Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Minghang Liu *Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing, China.
Kai Zhao *Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chenxuan Yang *Department of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing, China.
Guochen SunDepartment of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing, China.
Dongdong WuDepartment of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing, China. ddwu301@163.com.
Yanlian YangCAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Center for Nanoscience and Technology, Beijing, China. yangyl@nanoctr.cn.ORCID http://orcid.org/0000-0003-4318-7672
Bainan XuDepartment of Neurosurgery, First Medical Center, Chinese PLA General Hospital, Beijing, China. xubn301@126.com.ORCID http://orcid.org/0000-0003-2636-9116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDevelopment of a circulating extracellular vesicle-based IDH mutant protein detection technology for diagnosis of IDH mutation status in glioma, enabling personalized resection strategies, precision medication, and disease dynamics monitoring in IDH-mutant glioma.

methodsWe developed a tumor-classification strategy that discriminates tumor types by detecting the IDH1.R132H mutant protein in plasma extracellular vesicles using a bead-assisted, flow-cytometry–based assay. We assessed the differential expression’s capacity to distinguish tumor grades, analyzed pre-operative and post-operative expression variations, and verified consistency with histopathological immunohistochemistry.

resultsThe method demonstrated a diagnostic sensitivity of 76.2% (95%CI: 54.9%–89.4%) and a specificity of 86.7% (95%CI: 62.1%–96.3%) for IDH-mutant glioma. Further analysis revealed that the expression level of the IDH mutant protein in plasma EVs was significantly associated with tumor grade in IDH-mutant glioma (P < 0.0001). Moreover, the expression level of the IDH mutant protein in plasma EVs significantly decreased in post-operative patients (P < 0.01) and showed a high degree of consistency with the pathological immunohistochemical results at different tumor grades.

conclusionWe propose a novel plasma extracellular-vesicle liquid biopsy with potential preoperative application in detecting IDH-mutant glioma, affording noninvasive, rapid, efficient, and low-cost assessment of IDH mutation status.

Indexed as

Extracellular vesicleGliomaIDH1.R132HLiquid biopsy

Identifiers

PMID41761122
PMCPMC13063745

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.