Quantitative Metabolite Patterns of Human Brain Tumors

Usenius, Jussi-Pekka; Kauppinen, Risto A.; Vainio, Pauli; Hernesniemi, Juha; Vapalahti, Matti; Paljärvi, Leo; Soimakallio, Seppo

doi:10.1097/00004728-199409000-00005

Cited by 100 publications

(8 citation statements)

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“…So far, in vivo MRS studies of oligodendrogliomas have used long echo times and focused mainly on NAA, Cho and Cr. The metabolite concentrations in the tumor expressed as ratio to normal brain tissue were found to be 0.1-0.4 for NAA, 0.5-0.9 for Cr, and 1.4-1.9 for Cho, 27,28 which is in agreement with the results of the present study (Table 1).…”

Section: Resultssupporting

confidence: 92%

“…18,27,28 In this study a Cho(tumor)/Cr(tumor) ratio of 0.7 AE 0.3 was found (data not shown). Immunohistochemical studies demonstrated that this metabolite ratio parallels with the cell proliferation index for Ki-67 (MIB-1) positive cells; 28 a parameter that was shown to be of prognostic relevance for patients with oligodendrogliomas.…”

Section: Resultsmentioning

confidence: 53%

“…28,29 In line with in vivo MRS, in vitro NMR analyses of surgically obtained tumor specimens of oligodendrogliomas show decreased levels of NAA and Cr, and an increased level of Cho compared with normal brain. 22,23,27,30,31 Other metabolic features that have been described include an elevated level of Ino. [22][23][24]32 In the present study an increase in Ino was found in oligodendrogliomas compared with white matter, but statistical significance could only be demonstrated in low-grade tumors (p = 0.03), not in the total group of oligodendrogliomas (p = 0.14, Table 1).…”

Section: Resultsmentioning

confidence: 99%

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Characterization of oligodendrogliomas using short echo time ¹H MR spectroscopic imaging

Rijpkema¹,

Schuuring²,

Meulen³

et al. 2003

NMR in Biomedicine

116

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Oligodendroglial tumors may not be distinguished easily from other brain tumors based on clinical presentation and magnetic resonance imaging (MRI) alone. Identification of these tumors however may have therapeutic consequences. The purpose of this study was to characterize and identify oligodendrogliomas by their metabolic profile as measured by 1 H MR spectroscopic imaging (MRSI). Fifteen patients with oligodendroglial tumors (eight high-grade oligodendrogliomas, seven low-grade oligodendrogliomas) underwent MRI and short echo time 1 H MRSI examinations. Five main metabolites found in brain MR spectra were quantified and expressed as ratios of tumor to contralateral white matter tissue. The level of lipids plus lactate was also assessed in the tumor. For comparison six patients with a low grade astrocytoma were also included in the study. The metabolic profile of oligodendrogliomas showed a decreased level of N-acetylaspartate and increased levels of choline-containing compounds and glutamine plus glutamate compared with white matter. The level of glutamine plus glutamate was significantly higher in low-grade oligodendrogliomas than in low-grade astrocytomas and may serve as a metabolic marker in diagnosis and treatment planning. In high-grade oligodendrogliomas large resonances of lipids plus lactate were observed in contrast to low-grade tumors.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 53%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Characterization of oligodendrogliomas using short echo time ¹H MR spectroscopic imaging

Rijpkema¹,

Schuuring²,

Meulen³

et al. 2003

NMR in Biomedicine

116

View full text Add to dashboard Cite

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“…The detection systems for analyzing various biochemicals such as chemical drugs or toxins have a wide range of applications, including preventing and controlling drug abuse and overuse of antibiotics, prohibiting food contamination, and monitoring drug concentrations in the body fluid to adjust drug doses . Also, several human metabolites have brought much attention to the field of in vitro diagnosis as an important chemical biomarker for monitoring pathological body conditions . Conventionally, various chromatography system such as gas chromatography (GC), high performance liquid chromatography (HPLC), and gas chromatography‐mass spectrometry (GC‐MS) have been utilized for detecting biochemicals .…”

Section: Detection Of Biochemicalsmentioning

confidence: 99%

Hydrogel Based Biosensors for In Vitro Diagnostics of Biochemicals, Proteins, and Genes

Jung

Kim

Choi

et al. 2017

Adv Healthcare Materials

140

105

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Hydrogel‐based biosensors have drawn considerable attention due to their various advantages over conventional detection systems. Recent studies have shown that hydrogel biosensors can be excellent alternative systems to detect a wide range of biomolecules, including small biochemicals, pathogenic proteins, and disease specific genes. Due to the excellent physical properties of hydrogels such as the high water content and stimuli‐responsive behavior of cross‐linked network structures, this system can offer substantial improvement for the design of novel detection systems for various diagnostic applications. The other main advantage of hydrogels is the role of biomimetic three‐dimensional (3D) matrix immobilizing enzymes and aptamers within the detection systems, which enhances their stability. This provides ideal reaction conditions for enzymes and aptamers to interact with substrates within the aqueous environment of the hydrogel. In this review, we have highlighted various novel detection approaches utilizing the outstanding properties of the hydrogel. This review summarizes the recent progress of hydrogel‐based biosensors and discusses their future perspectives and clinical limitations to overcome.

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“…The non-invasive and efficient detection of ER-dependent tumor metabolism may have great potential in predicting the response to ET. MRS has been used as a non-invasive tool to detect tumor metabolism in vivo (22)(23)(24)(25). Lactate MRS has been used for the measurement of changes in lactate levels in lymphoma, breast and prostate cancer xenografts as an early biomarker of response to chemotherapy (26)(27)(28).…”

Section: Introductionmentioning

confidence: 99%

A study of the relationship of metabolic MR parameters to estrogen dependence in breast cancer xenografts

et al. 2015

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1H Magnetic Resonance Spectroscopy (MRS), 31P MRS and Diffusion Weighted MRI (DW-MRI) were applied to study the metabolic changes associated with estrogen dependence in estrogen receptor (ER) positive BT-474 and triple negative HCC1806 breast cancer xenografts supplemented with or without 17β-estradiol (E2) at a dose of 0.18 or 0.72 mg/pellet. Furthermore, the effect of estrogen withdrawal on metabolism of BT-474 and HCC1806 breast cancer xenografts were studied on day 0, day 2 and day 10. Increasing the dose of E2 resulted in a rapid growth and increase in lactate level, PME/βNTP, PCr/Pi and βNTP/Pi ratios in BT-474; however no significant changes were found in HCC1806 breast cancer xenografts. Estrogen withdrawal resulted in a marked decrease in lactate level and PME/βNTP and an observed increase in βNTP/Pi, PCr/Pi and apparent diffusion coefficient (ADC) values of BT-474 xenografts on day 10. These data suggest that lactate, PME/βNTP, PCr/Pi and βNTP/Pi ratios of ER-positive tumors were closely related to ER dependence.

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Quantitative Metabolite Patterns of Human Brain Tumors

Cited by 100 publications

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Characterization of oligodendrogliomas using short echo time ¹H MR spectroscopic imaging

Characterization of oligodendrogliomas using short echo time ¹H MR spectroscopic imaging

Hydrogel Based Biosensors for In Vitro Diagnostics of Biochemicals, Proteins, and Genes

A study of the relationship of metabolic MR parameters to estrogen dependence in breast cancer xenografts

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Quantitative Metabolite Patterns of Human Brain Tumors

Cited by 100 publications

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Characterization of oligodendrogliomas using short echo time 1H MR spectroscopic imaging

Characterization of oligodendrogliomas using short echo time 1H MR spectroscopic imaging

Hydrogel Based Biosensors for In Vitro Diagnostics of Biochemicals, Proteins, and Genes

A study of the relationship of metabolic MR parameters to estrogen dependence in breast cancer xenografts

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Characterization of oligodendrogliomas using short echo time ¹H MR spectroscopic imaging

Characterization of oligodendrogliomas using short echo time ¹H MR spectroscopic imaging