Evidence map›Paper›PMID 37278937›Full record

ArticleJournal of neuro-oncology2023

Tissue and plasma free amino acid detection by LC-MS/MS method in high grade glioma patients.

Sureyya Toklu, Rahsan Kemerdere, Tibet Kacira, Murat Serdar Gurses, Fehime Benli Aksungar, Taner Tanriverdi

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Sureyya TokluDepartment of Neurosurgery, Erzurum Regional Training and Research Hospital, Erzurum, Turkey.
Rahsan KemerdereDepartment of Neurosurgery, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, 34098, Istanbul, Turkey. rahsank@iuc.edu.tr.ORCID http://orcid.org/0000-0002-9947-3486
Tibet KaciraDepartment of Neurosurgery, Medical Faculty, Sakarya University, Sakarya, Turkey.
Murat Serdar GursesDepartment of Forensic Medicine, Medical Faculty, Sakarya University, Sakarya, Turkey.
Fehime Benli AksungarDepartment of Biochemistry, School of Medicine, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Turkey.
Taner TanriverdiDepartment of Neurosurgery, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, 34098, Istanbul, Turkey.
Istanbul University-Cerrahpaşa · TRSakarya University · TRErzurum Regional Training and Research Hospital · TRKent Hastanesi · TR

Funding

Istanbul University-Cerrahpasa Scientific Research Projects Executive Secretariat 34597
6 · The paper itself

Abstract

purposeThe changes in serum amino acid profiles are evaluated in different types of cancers and screening tests were developed for estimating the risk of cancer by rapid analysis of plasma free amino acid (PFAA) levels. There is scarce evidence about the metabolomics analysis of PFAA in malignant gliomas. The aim of the present study was to identify the most promising diagnostic amino acid biomarkers that could be objectively measured for high-grade glioma and to compare their level with the tissue counterpart.

methodsIn this prospective study, we collected serum samples from 22 patients with the pathological diagnosis of high-grade diffuse glioma according to WHO 2016 classification and 22 healthy subjects, and brain tissue from 22 controls. Plasma and tissue amino acid concentrations were analyzed applying liquid chromatography-tandem mass spectrometry (LC-MS/MS) method.

resultsSerum alanine, alpha-aminobutyric acid (AABA), lysine (Lys) and cysteine concentrations were significantly higher in high-grade glioma patients despite low levels of alanine and Lys in the tumor tissue. Aspartic acid, histidine and taurine were significantly decreased in both serum and tumors of glioma patients. A positive correlation was detected between tumor volumes and serum levels of latter three amino acids.

conclusionThis study demonstrated potential amino acids which may have diagnostic value for high-grade glioma patients by utilizing LC-MS/MS method. Our results are preliminary to compare serum and tissue levels of amino acids in patients with malignant gliomas. The data presented here may provide feature ideas about the metabolic pathways in the pathogenesis of gliomas.

Indexed as

GliomaTandem Mass SpectrometryAlanineAminesAmino AcidsChromatography, LiquidHumansProspective StudiesAlanineAminesAmino AcidsAmino acidsBiomarkerHigh grade gliomaLC-MS/MSSerum

Identifiers

PMID37278937
OpenAlexW4379509119

What OpenQuestion holds

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Registered trials

None linked

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.