Evidence map›Paper›PMID 27485632›Full record

ArticleCancer medicine2016

Dual pharmacological inhibition of glutathione and thioredoxin systems synergizes to kill colorectal carcinoma stem cells.

Genki Tanaka, Ken-Ichi Inoue, Takayuki Shimizu, Kazumi Akimoto, Keiichi Kubota

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Unveiling the Role of GlutathioneACS pharmacology & translational science · 2026
    Review
  2. Review
  3. [Multi-omics analysis of the relationship between oxidative stress-related gene and prostate cancer].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Glutathione S-Transferases in Cancer.Antioxidants (Basel, Switzerland) · 2021
    Review
  10. Potential Role of GST-BioMed research international · 2021
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. New Challenges to Study Heterogeneity in Cancer Redox Metabolism.Frontiers in cell and developmental biology · 2017
    Review
  18. 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

5 authors at 2 institutions in 1 country.

Genki TanakaDepartment of Second Surgery, Dokkyo Medical University, Shimotsuga-gun, Tochigi-ken, 321-0293, Japan.
Ken-Ichi InoueCenter for Research Support, Dokkyo Medial University, Shimotsuga-gun, Tochigi-ken, 321-0293, Japan.
Takayuki ShimizuDepartment of Second Surgery, Dokkyo Medical University, Shimotsuga-gun, Tochigi-ken, 321-0293, Japan.
Kazumi AkimotoCenter for Research Support, Dokkyo Medial University, Shimotsuga-gun, Tochigi-ken, 321-0293, Japan.
Keiichi KubotaDepartment of Second Surgery, Dokkyo Medical University, Shimotsuga-gun, Tochigi-ken, 321-0293, Japan. kubotak@dokkyomed.ac.jp.
Dokkyo Medical University · JPDokkyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NRF2 stabilizes redox potential through genes for glutathione and thioredoxin antioxidant systems. Whether blockade of glutathione and thioredoxin is useful in eliminating cancer stem cells remain unknown. We used xenografts derived from colorectal carcinoma patients to investigate the pharmacological inhibition of glutathione and thioredoxin systems. Higher expression of five glutathione S-transferase isoforms (GSTA1, A2, M4, O2, and P1) was observed in xenograft-derived spheroids than in fibroblasts. Piperlongumine (2.5-10 μmol/L) and auranofin (0.25-4 μmol/L) were used to inhibit glutathione S-transferase π and thioredoxin reductase, respectively. Piperlongumine or auranofin alone up-regulated the expression of NRF2 target genes, but not TP53 targets. While piperlongumine showed modest cancer-specific cell killing (IC50 difference between cancer spheroids and fibroblasts: P = 0.052), auranofin appeared more toxic to fibroblasts (IC50 difference between cancer spheroids and fibroblasts: P = 0.002). The synergism of dual inhibition was evaluated by determining the Combination Index, based on the number of surviving cells with combination treatments. Molar ratios indicated synergism in cancer spheroids, but not in fibroblasts: (auranofin:piperlongumine) = 2:5, 1:5, 1:10, and 1:20. Cancer-specific cell killing was achieved at the following drug concentrations (auranofin:piperlongumine): 0.25:2.5 μmol/L, 0.5:2.5 μmol/L, or 0.25:5 μmol/L. The dual inhibition successfully decreased CD44v9 surface presentation and delayed tumor emergence in nude mouse. However, a small subpopulation persistently survived and accumulated phosphorylated histone H2A. Such "persisters" still retained lesser but significant tumorigenicity. Thus, dual inhibition of glutathione S-transferase π and thioredoxin reductase could be a feasible option for decreasing the tumor mass and CD44v9-positive fraction by disrupting redox regulation.

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorCell SurvivalColorectal NeoplasmsDisease Models, AnimalDNA Breaks, Double-StrandedDrug SynergismFibroblastsGene Expression Regulation, NeoplasticGlutathioneGlutathione TransferaseHumansIsoenzymesMiceNADPAntineoplastic AgentsGlutathioneGlutathione TransferaseIsoenzymesNADPNF-E2-Related Factor 2Thioredoxin-Disulfide ReductaseThioredoxinsTumor Suppressor Protein p53colorectal carcinomaglutathioneNRF2pentose phosphate pathwaythioredoxin

Identifiers

PMID27485632
PMCPMC5055185
OpenAlexW2505129465

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.