Evidence map›Paper›PMID 36531023›Full record

ArticleFrontiers in oncology2022

Glutathione levels are associated with methotrexate resistance in acute lymphoblastic leukemia cell lines.

Rafael Renatino Canevarolo, Carolina Pereira de Souza Melo, Nathalia Moreno Cury, Leonardo Luiz Artico, Juliana Ronchi Corrêa, Yanca Tonhasca Lau, Samara Sousa Mariano, Praneeth Reddy Sudalagunta, Silvia Regina Brandalise, Ana Carolina de Mattos Zeri and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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, 11 citations in OpenAlex.

  1. Metabolic Cross Talk in the Tumor Microenvironment.Cancer treatment and research · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Rafael Renatino CanevaroloCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Carolina Pereira de Souza MeloCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Nathalia Moreno CuryCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Leonardo Luiz ArticoCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Juliana Ronchi CorrêaCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Yanca Tonhasca LauCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Samara Sousa MarianoCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Praneeth Reddy SudalaguntaDepartment of Cancer Physiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Silvia Regina BrandaliseCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Ana Carolina de Mattos ZeriBrazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, SP, Brazil.
José Andrés YunesCentro de Pesquisa Boldrini, Centro Infantil Boldrini, Campinas, SP, Brazil.
Centro Infantil Boldrini · BRBrazilian Biosciences National Laboratory · BRMoffitt Cancer Center · USUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methotrexate (MTX), a folic acid antagonist and nucleotide synthesis inhibitor, is a cornerstone drug used against acute lymphoblastic leukemia (ALL), but its mechanism of action and resistance continues to be unraveled even after decades of clinical use. Methods: To better understand the mechanisms of this drug, we accessed the intracellular metabolic content of 13 ALL cell lines treated with MTX by 1H-NMR, and correlated metabolome data with cell proliferation and gene expression. Further, we validated these findings by inhibiting the cellular antioxidant system of the cells in vitro and in vivo in the presence of MTX. Results: MTX altered the concentration of 31 out of 70 metabolites analyzed, suggesting inhibition of the glycine cleavage system, the pentose phosphate pathway, purine and pyrimidine synthesis, phospholipid metabolism, and bile acid uptake. We found that glutathione (GSH) levels were associated with MTX resistance in both treated and untreated cells, suggesting a new constitutive metabolic-based mechanism of resistance to the drug. Gene expression analyses showed that eight genes involved in GSH metabolism were correlated to GSH concentrations, 2 of which (gamma-glutamyltransferase 1 [GGT1] and thioredoxin reductase 3 [TXNRD3]) were also correlated to MTX resistance. Gene set enrichment analysis (GSEA) confirmed the association between GSH metabolism and MTX resistance. Pharmacological inhibition or stimulation of the main antioxidant systems of the cell, GSH and thioredoxin, confirmed their importance in MTX resistance. Arsenic trioxide (ATO), a thioredoxin inhibitor used against acute promyelocytic leukemia, potentiated MTX cytotoxicity in vitro in some of the ALL cell lines tested. Likewise, the ATO+MTX combination decreased tumor burden and extended the survival of NOD scid gamma (NSG) mice transplanted with patient-derived ALL xenograft, but only in one of four ALLs tested. Conclusion: Altogether, our results show that the cellular antioxidant defense systems contribute to leukemia resistance to MTX, and targeting these pathways, especially the thioredoxin antioxidant system, may be a promising strategy for resensitizing ALL to MTX.

Indexed as

acute lymphoblastic leukemiaarsenic trioxidedrug resistanceglutathionemetabolomicsmethotrexatethioredoxin reductase

Identifiers

PMID36531023
PMCPMC9751399
OpenAlexW4310490683

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.