Evidence map›Paper›PMID 31581753›Full record

ReviewCancers2019

Animal Models of Hepatocellular Carcinoma: The Role of Immune System and Tumor Microenvironment.

Zuzana Macek Jilkova, Keerthi Kurma, Thomas Decaens

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Anti-carcinogenic effects and mechanisms of actions ofAmerican journal of cancer research · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Targeting Akt in Hepatocellular Carcinoma and Its Tumor Microenvironment.International journal of molecular sciences · 2021
    Review
  20. Organoids to model liver disease.JHEP reports : innovation in hepatology · 2021
    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

3 authors at 1 institution in 1 country.

Zuzana Macek JilkovaUniversité Grenoble Alpes, CS 10217, 38043 Grenoble, France. zuzana.mjilkova@gmail.com.ORCID 0000-0002-2553-5971
Keerthi KurmaUniversité Grenoble Alpes, CS 10217, 38043 Grenoble, France. Keerthi.Kurma143@gmail.com.
Thomas DecaensUniversité Grenoble Alpes, CS 10217, 38043 Grenoble, France. tdecaens@chu-grenoble.fr.
Centre National de la Recherche Scientifique · FR

Funding

Agir pour les Maladies Chroniques 2016-2020
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common type of liver cancer in adults and has one of the highest mortality rates of solid cancers. Ninety percent of HCCs are associated with liver fibrosis or cirrhosis developed from chronic liver injuries. The immune system of the liver contributes to the severity of the necrotic-inflammatory tissue damage, the establishment of fibrosis and cirrhosis, and the disease progression towards HCC. Immunotherapies have emerged as an exciting strategy for HCC treatment, but their effect is limited, and an extensive translation research is urgently needed to enhance anti-tumor efficacy and clinical success. Establishing HCC animal models that are analogous to human disease settings, i.e., mimicking the tumor microenvironment of HCC, is extremely challenging. Hence, this review discusses different animal models of HCC by summarizing their advantages and their limits with a specific focus on the role of the immune system and tumor microenvironment.

Indexed as

animal modelcancerhepatocellular carcinomaimmune systemtumor microenvironment

Identifiers

PMID31581753
PMCPMC6826986
OpenAlexW2978070590

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.