Evidence map›Paper›PMID 20949032›Full record

ArticlePloS one2010

Chronic myeloid leukemia patients sensitive and resistant to imatinib treatment show different metabolic responses.

Jiye A, Sixuan Qian, Guangji Wang, Bei Yan, Sujiang Zhang, Qing Huang, Lingna Ni, Weibin Zha, Linsheng Liu, Bei Cao and 6 more

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Recent Metabolomics Analysis in Tumor Metabolism Reprogramming.Frontiers in molecular biosciences · 2021
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. [Expression and significance of TIGAR in hematological malignancis].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2015
    Article
  18. Review of mass spectrometry-based metabolomics in cancer research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Review
  19. Article
  20. Article
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

16 authors.

Jiye AKey Laboratory of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China.
Sixuan Qian
Guangji Wang
Bei Yan
Sujiang Zhang
Qing Huang
Lingna Ni
Weibin Zha
Linsheng Liu
Bei Cao
Ming Hong
Hanxin Wu
Hua Lu
Jian Shi
Mengjie Li
Jianyong Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The BCR-ABL tyrosine kinase inhibitor imatinib is highly effective for chronic myeloid leukemia (CML). However, some patients gradually develop resistance to imatinib, resulting in therapeutic failure. Metabonomic and genomic profiling of patients' responses to drug interventions can provide novel information about the in vivo metabolism of low-molecular-weight compounds and extend our insight into the mechanism of drug resistance. Based on a multi-platform of high-throughput metabonomics, SNP array analysis, karyotype and mutation, the metabolic phenotypes and genomic polymorphisms of CML patients and their diverse responses to imatinib were characterized. The untreated CML patients (UCML) showed different metabolic patterns from those of healthy controls, and the discriminatory metabolites suggested the perturbed metabolism of the urea cycle, tricarboxylic acid cycle, lipid metabolism, and amino acid turnover in UCML. After imatinib treatment, patients sensitive to imatinib (SCML) and patients resistant to imatinib (RCML) had similar metabolic phenotypes to those of healthy controls and UCML, respectively. SCML showed a significant metabolic response to imatinib, with marked restoration of the perturbed metabolism. Most of the metabolites characterizing CML were adjusted to normal levels, including the intermediates of the urea cycle and tricarboxylic acid cycle (TCA). In contrast, neither cytogenetic nor metabonomic analysis indicated any positive response to imatinib in RCML. We report for the first time the associated genetic and metabonomic responses of CML patients to imatinib and show that the perturbed in vivo metabolism of UCML is independent of imatinib treatment in resistant patients. Thus, metabonomics can potentially characterize patients' sensitivity or resistance to drug intervention.

Indexed as

AdultAntineoplastic AgentsBenzamidesCase-Control StudiesDrug Resistance, NeoplasmGas Chromatography-Mass SpectrometryHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMiddle AgedMutationPiperazinesPyrimidinesAntineoplastic AgentsBenzamidesImatinib MesylatePiperazinesPyrimidines

Identifiers

PMID20949032
PMCPMC2951899

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Registered trials

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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.