Metabolomic Profile of Aggressive Meningiomas by Using High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance-Reference-Cited by-同舟云学术

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Metabolomic Profile of Aggressive Meningiomas by Using High-Resolution Magic Angle Spinning Nuclear Magnetic Resonance

Published:2019-11-04 Issue:1 Volume:19 Page:292-299
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Bender Laura^ORCID,Somme François,Ruhland Elisa,Cicek A. Ercüment¹²,Bund Caroline³,Namer Izzie Jacques³

Affiliation:

1. Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh 15213, Pennsylvania, United States

2. Computer Engineering Department, Bilkent University, Ankara 06800, Turkey

3. ICube, Université de Strasbourg/CNRS, UMR 7357, Strasbourg 67081, Alsace, France

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.9b00521

Reference31 articles.

1. CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2005-2009

2. Epidemiology and etiology of meningioma

3. Descriptive epidemiology of World Health Organization grades II and III intracranial meningiomas in the United States

4. Immunohistochemistry of Meningiomas Including the Angioblastic Type

5. Expression of androgen and progesterone receptors in primary human meningiomas

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1. Chronic hyperglycemia and intracranial meningiomas;BMC Cancer;2024-04-17

2. The outcomes measured and reported in intracranial meningioma clinical trials: A systematic review;Neuro-Oncology Advances;2024-01-01

3. Unveiling a Biomarker Signature of Meningioma: The Need for a Panel of Genomic, Epigenetic, Proteomic, and RNA Biomarkers to Advance Diagnosis and Prognosis;Cancers;2023-11-09

4. Metabolomic and Lipidomic Characterization of Meningioma Grades Using LC–HRMS and Machine Learning;Journal of the American Society for Mass Spectrometry;2023-09-14

5. A comparison of different machine-learning techniques for the selection of a panel of metabolites allowing early detection of brain tumors;Scientific Reports;2023-07-08

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