Evidence map›Paper›PMID 24349380›Full record

ArticlePloS one2013

Metabolomics of the tumor microenvironment in pediatric acute lymphoblastic leukemia.

Stefano Tiziani, Yunyi Kang, Ricky Harjanto, Joshua Axelrod, Carlo Piermarocchi, William Roberts, Giovanni Paternostro

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

44 citing papers in PubMed, 58 citations in OpenAlex.

  1. Trial
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  5. Molecular Reactivity in Maternal Pregnancy Blood and Neonatal Dried Blood Spots Is Associated with the Risk of Pediatric Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  6. Article
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  8. Metabolomic insights into pathogenesis and therapeutic potential in adult acute lymphoblastic leukemia.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Article
  12. Review
  13. Article
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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

7 authors at 4 institutions in 1 country.

Stefano TizianiSanford-Burnham Medical Research Institute, La Jolla, California, United States of America ; Department of Nutritional Sciences, Dell Pediatric Research Institute, University of Texas at Austin, Austin, Texas, United States of America.
Yunyi KangSanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
Ricky HarjantoSanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
Joshua AxelrodSanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
Carlo PiermarocchiDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan, United States of America.
William RobertsRady Children's Hospital, Department of Pediatrics, University of California San Diego, San Diego, California, United States of America.
Giovanni PaternostroSanford-Burnham Medical Research Institute, La Jolla, California, United States of America.
Sanford Burnham Prebys Medical Discovery Institute · USMichigan United · USThe University of Texas at Austin · USUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment is emerging as an important therapeutic target. Most studies, however, are focused on the protein components, and relatively little is known of how the microenvironmental metabolome might influence tumor survival. In this study, we examined the metabolic profiles of paired bone marrow (BM) and peripheral blood (PB) samples from 10 children with acute lymphoblastic leukemia (ALL). BM and PB samples from the same patient were collected at the time of diagnosis and after 29 days of induction therapy, at which point all patients were in remission. We employed two analytical platforms, high-resolution magnetic resonance spectroscopy and gas chromatography-mass spectrometry, to identify and quantify 102 metabolites in the BM and PB. Standard ALL therapy, which includes l-asparaginase, completely removed circulating asparagine, but not glutamine. Statistical analyses of metabolite correlations and network reconstructions showed that the untreated BM microenvironment was characterized by a significant network-level signature: a cluster of highly correlated lipids and metabolites involved in lipid metabolism (p<0.006). In contrast, the strongest correlations in the BM upon remission were observed among amino acid metabolites and derivatives (p<9.2 × 10(-10)). This study provides evidence that metabolic characterization of the cancer niche could generate new hypotheses for the development of cancer therapies.

Indexed as

MetabolomeMetabolomicsTumor MicroenvironmentAdolescentBone MarrowChildChild, PreschoolHumansInduction ChemotherapyInfantMetabolic Networks and PathwaysPrecursor Cell Lymphoblastic Leukemia-Lymphoma

Identifiers

PMID24349380
PMCPMC3862732
OpenAlexW2165192815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.