Evidence map›Paper›PMID 32785012›Full record

ArticleInternational journal of molecular sciences2020

Glucagon-Like Peptide-1 Receptor Agonist Prevented the Progression of Hepatocellular Carcinoma in a Mouse Model of Nonalcoholic Steatohepatitis.

Motoyasu Kojima, Hirokazu Takahashi, Takuya Kuwashiro, Kenichi Tanaka, Hitoe Mori, Iwata Ozaki, Yoichiro Kitajima, Yayoi Matsuda, Kenji Ashida, Yuichiro Eguchi and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
3.6field-weighted citation impact, top 6% 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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Review
  6. Article
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  8. Article
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  10. Article
  11. Review
  12. Nonoperative Management of Hepatic Adenomas: A Review.Journal of gastrointestinal cancer · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Chemoprevention of hepatocellular carcinoma.Hepatology communications · 2025
    Review
  18. Article
  19. Article
  20. Review
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

11 authors at 3 institutions in 1 country.

Motoyasu KojimaDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Hirokazu TakahashiDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Takuya KuwashiroDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Kenichi TanakaDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Hitoe MoriDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Iwata OzakiDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.ORCID 0000-0001-8542-1434
Yoichiro KitajimaDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Yayoi MatsudaDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Kenji AshidaDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.ORCID 0000-0001-8753-6016
Yuichiro EguchiDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Keizo AnzaiDivision of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan.
Saga University · JPKurume University · JPKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucagon-like peptide-1 (GLP-1) receptor agonists are used to treat diabetes, but their effects on nonalcoholic steatohepatitis (NASH) and the development of hepatocellular carcinoma (HCC) remain unclear. In this study, mice with streptozotocin- and high-fat diet-induced diabetes and NASH were subcutaneously treated with liraglutide or saline (control) for 14 weeks. Glycemic control, hepatocarcinogenesis, and liver histology were compared between the groups. Fasting blood glucose levels were significantly lower in the liraglutide group than in the control group (210.0 ± 17.3 mg/dL vs. 601.8 ± 123.6 mg/dL), and fasting insulin levels were significantly increased by liraglutide (0.18 ± 0.06 ng/mL vs. 0.09 ± 0.03 ng/mL). Liraglutide completely suppressed hepatocarcinogenesis, whereas HCC was observed in all control mice (average tumor count, 5.5 ± 3.87; average tumor size, 8.1 ± 5.0 mm). Liraglutide significantly ameliorated steatosis, inflammation, and hepatocyte ballooning of non-tumorous lesions in the liver compared with the control findings, and insulin-positive β-cells were observed in the pancreas in liraglutide-treated mice but not in control mice. In conclusion, liraglutide ameliorated NASH and suppressed hepatocarcinogenesis in diabetic mice. GLP-1 receptor agonists can be used to improve the hepatic outcome of diabetes.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsAnimalsBlood GlucoseCarcinogenesisCarcinoma, HepatocellularDiabetes Mellitus, ExperimentalDiet, High-FatDisease Models, AnimalHypoglycemic AgentsInsulinLiraglutideLiver NeoplasmsMaleMiceMice, Inbred C57BLNon-alcoholic Fatty Liver DiseaseBlood GlucoseGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsInsulinLiraglutideStreptozocinballooninghepatocarcinogenesisisletliraglutideliver cancerNAFLDNASHprognosisβ-cell

Identifiers

PMID32785012
PMCPMC7460814
OpenAlexW3047956076

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.