Strategy for automated metabolic profiling of glioma subtypes from ex-vivo HRMAS spectra

Maleschlijski Stojan; Autry Adam; Jalbert LlewellynOlson Marram P.McKnight TracyLuks TracyNelson Sarah

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Strategy for automated metabolic profiling of glioma subtypes from ex-vivo HRMAS spectra

机译：Strategy for automated metabolic profiling of glioma subtypes from ex-vivo HRMAS spectra

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Introduction Infiltrating gliomas are primary brain tumors that express significant biological and clinical heterogeneity in adults, which complicates their treatment and prognosis. Characterization of tumor subtypes using spectroscopic analysis may assist in predicting malignant transformation and quantification of response to therapy.

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来源
《Metabolomics :》 |2017年第12期|Article 149-Article 149|共8页
作者
Maleschlijski Stojan; Autry Adam; Jalbert LlewellynOlson Marram P.McKnight TracyLuks TracyNelson Sarah;
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Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA 94143 USA;

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原文格式 PDF
正文语种英语
中图分类生理学;
关键词
Gliomas; Glioblastoma; High resolution magic angle spinning; GBM; OPLS-DA; Brain tumor; Biomarker; Metabolomics; Ex-vivo spectroscopy; Tumor classification;

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Strategy for automated metabolic profiling of glioma subtypes from ex-vivo HRMAS spectra

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