The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Ambient mass spectrometry for the intraoperative molecular diagnosis of human brain tumors
Open accessAbstract
The main goal of brain tumor surgery is to maximize tumor resection while preserving brain function. However, existing imaging and surgical techniques do not offer the molecular information needed to delineate tumor boundaries. We have developed a system to rapidly analyze and classify brain tumors based on lipid information acquired by desorption electrospray ionization mass spectrometry (DESI-MS). In this study, a classifier was built to discriminate gliomas and meningiomas based on 36 glioma and 19 meningioma samples. The classifier was tested and results were validated for intraoperative use by analyzing and diagnosing tissue sections from 32 surgical specimens obtained from five research subjects who underwent brain tumor resection. The samples analyzed included oligodendroglioma, astrocytoma, and meningioma tumors of different histological grades and tumor cell concentrations. The molecular diagnosis derived from mass-spectrometry imaging corresponded to histopathology diagnosis with very few exceptions. Our work demonstrates that DESI-MS technology has the potential to identify the histology type of brain tumors. It provides information on glioma grade and, most importantly, may help define tumor margins by measuring the tumor cell concentration in a specimen. Results for stereotactically registered samples were correlated to preoperative MRI through neuronavigation, and visualized over segmented 3D MRI tumor volume reconstruction. Our findings demonstrate the potential of ambient mass spectrometry to guide brain tumor surgery by providing rapid diagnosis, and tumor margin assessment in near–real time.
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Cites
The 2007 WHO Classification of Tumours of the Central Nervous System
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Mass Spectrometry Sampling Under Ambient Conditions with Desorption Electrospray Ionization
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Role of extent of resection in the long-term outcome of low-grade hemispheric gliomas
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Mass spectral molecular networking of living microbial colonies
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Cited by
Zhang, J., Rector, J., Lin, J. Q., Young, J. H., Sans, M., Katta, N., Giese, N., Yu, W., Nagi, C., Suliburk, J., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aan3968 · Cited by 406
Self-citationOverview of Mass Spectrometry-Based Metabolomics: Opportunities and Challenges
Gowda, G. A. N., & Djukovic, D. (2014) · Methods in Molecular Biology · doi:10.1007/978-1-4939-1258-2_1 · Cited by 334
Porta Siegel, T., Hamm, G., Bunch, J., Cappell, J., Fletcher, J. S., & Schwamborn, K. (2018) · Molecular Imaging and Biology · doi:10.1007/s11307-018-1267-y · Cited by 187
Automatic 3D Nonlinear Registration of Mass Spectrometry Imaging and Magnetic Resonance Imaging Data
Abdelmoula, W. M., Regan, M. S., Lopez, B. G. C., Randall, E. C., Lawler, S., Mladek, A. C., Nowicki, M. O., Marin, B. M., Agar, J. N., Swanson, K. R., et al. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.9b00854 · Cited by 62
Self-citationContrast Agent Mass Spectrometry Imaging Reveals Tumor Heterogeneity
Tata, A., Zheng, J., Ginsberg, H. J., Jaffray, D. A., Ifa, D. R., & Zarrine-Afsar, A. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b01992 · Cited by 34
Metadata
- Authors
- Eberlin, L. S., Norton, I., Orringer, D., Dunn, I. F., Liu, X., Ide, J. L., Jarmusch, A. K., Ligon, K. L., Jolesz, F. A., Golby, A. J., Santagata, S., Agar, N. Y. R., & Cooks, R. G.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-01-08
- Volume
- 110
- Issue
- 5
- Pages
- 1611-1616
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2155888582
- Cited by
- 288
- References
- 26
- FWCI
- 14.42
- Type
- journal article
- Language
- en
- Open access
- green
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- Eberlin, L. S., Norton, I., Orringer, D., Dunn, I. F., Liu, X., Ide, J. L., Jarmusch, A. K., Ligon, K. L., Jolesz, F. A., Golby, A. J., Santagata, S., Agar, N. Y. R., & Cooks, R. G. (2013). Ambient mass spectrometry for the intraoperative molecular diagnosis of human brain tumors. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1215687110
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