Evidence map›Paper›PMID 7765324›Full record

ReviewCytotechnology1993

Glutathione-related enzymes, glutathione and multidrug resistance.

J A Moscow, K H Dixon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cytotechnology, 1993. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

13 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Association between GSTM1 copy number, promoter variants and susceptibility to urinary bladder cancer.International journal of molecular epidemiology and genetics · 2012
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

2 authors at 1 institution in 1 country.

J A MoscowMedicine Branch, National Cancer Institute, Bethesda, MD 20892.
K H Dixon
National Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review examines the hypothesis that glutathione and its associated enzymes contribute to the overall drug-resistance seen in multidrug resistant cell lines. Reports of 34 cell lines independently selected for resistance to MDR drugs are compared for evidence of consistent changes in activity of glutathione-related enzymes as well as for changes in glutathione content. The role of glutathione S-transferases in MDR is further analyzed by comparing changes in sensitivity to MDR drugs in cell lines selected for resistance to non-MDR drugs that have resulting increases in glutathione S-transferase activity. In addition, results of studies in which genes for glutathione S-transferase isozymes were transfected into drug-sensitive cells are reviewed. The role of the glutathione redox cycle is examined by comparing changes in elements of this cycle in MDR cell lines as well as by analyzing reports of the effects of glutathione depletion on MDR drug sensitivity. Overall, there is no consistent or compelling evidence that glutathione and its associated enzymes augment resistance in multidrug resistant cell lines.

Indexed as

AnimalsAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily B, Member 1Carrier ProteinsCell LineDrug ResistanceFemaleGlutathioneGlutathione TransferaseHumansMembrane GlycoproteinsOxidation-ReductionTumor Cells, CulturedAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily B, Member 1Carrier ProteinsGlutathioneGlutathione TransferaseMembrane Glycoproteins

Identifiers

PMID7765324
OpenAlexW2093559247

What OpenQuestion holds

Textmetadata
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.