Evidence map›Paper›PMID 20090781›Full record

ArticleLeukemia2010

Serum metabolome analysis by 1H-NMR reveals differences between chronic lymphocytic leukaemia molecular subgroups.

D A MacIntyre, B Jiménez, E Jantus Lewintre, C Reinoso Martín, H Schäfer, C García Ballesteros, J Ramón Mayans, M Spraul, J García-Conde, A Pineda-Lucena

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Leukemia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

61 citing papers in PubMed, 143 citations in OpenAlex.

  1. Trial
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  4. Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026
    Review
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  17. Quantitative analysis of amino acid metabolism in liver cancer links glutamate excretion to nucleotide synthesis.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 2 countries.

D A MacIntyreStructural Biology Laboratory, Centro de Investigación Príncipe Felipe, Valencia, Spain.
B Jiménez
E Jantus Lewintre
C Reinoso Martín
H Schäfer
C García Ballesteros
J Ramón Mayans
M Spraul
J García-Conde
A Pineda-Lucena
Centro de Investigacion Principe Felipe · ESBruker (Germany) · DEHospital Arnau de Vilanova · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lymphocytic leukaemia (CLL) is a heterogeneous disease exhibiting variable clinical course and survival rates. Mutational status of the immunoglobulin heavy chain variable regions (IGHVs) of CLL cells offers useful prognostic information for high-risk patients, but time and economical costs originally prevented it from being routinely used in a clinical setting. Instead, alternative markers of IGHV status, such as zeta-associated protein (ZAP70) or messenger RNA levels are often used. We report a (1)H-NMR-based metabolomics approach to examine serum metabolic profiles of early stage, untreated CLL patients (Binet stage A) classified on the basis of IGHV mutational status or ZAP70. Metabolic profiles of CLL patients (n=29) exhibited higher concentrations of pyruvate and glutamate and decreased concentrations of isoleucine compared with controls (n=9). Differences in metabolic profiles between unmutated (UM-IGHV; n=10) and mutated IGHV (M-IGHV; n=19) patients were determined using partial least square discriminatory analysis (PLS-DA; R(2)=0.74, Q(2)=0.36). The UM-IGHV patients had elevated levels of cholesterol, lactate, uridine and fumarate, and decreased levels of pyridoxine, glycerol, 3-hydroxybutyrate and methionine concentrations. The PLS-DA models derived from ZAP70 classifications showed comparatively poor goodness-of-fit values, suggesting that IGHV mutational status correlates better with disease-related metabolic profiles. Our results highlight the usefulness of (1)H-NMR-based metabolomics as a potential non-invasive prognostic tool for identifying CLL disease-state biomarkers.

Indexed as

Gene Expression Regulation, LeukemicMagnetic Resonance SpectroscopyMetabolomeAgedBiomarkers, TumorCase-Control StudiesFemaleFlow CytometryHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedMutationPrognosisBiomarkers, TumorImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionZAP70 protein, humanZAP-70 Protein-Tyrosine Kinase

Identifiers

PMID20090781
OpenAlexW2072266823

What OpenQuestion holds

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Read underepoch 390

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.