Evidence map›Paper›PMID 18314222›Full record

ReviewJournal of hepatology2008

Experimental models of hepatocellular carcinoma.

Philippa Newell, Augusto Villanueva, Scott L Friedman, Kazuhiko Koike, Josep M Llovet

Abstract readReview
In one paragraph

Review in Journal of hepatology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed
–field-weighted citation impact
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

95 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. New and Old Key Players in Liver Cancer.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Hepatocellular carcinoma.Nature reviews. Disease primers · 2021
    Review
  19. Article
  20. Review

35 more citing papers are in PubMed but not listed here.

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.

Philippa NewellDivision of Liver Diseases, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, NY 10029, USA.
Augusto Villanueva
Scott L Friedman
Kazuhiko Koike
Josep M Llovet

Funding

THE ROLE OF STELLATE CELLS IN HEPATIC FIBROSISR01DK037340 · NIDDK · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI FRIEDMAN, SCOTT L. · 1987 to 2010
$3.5M
Integrative genomic analysis in hepatocellular carcinomaR01DK076986 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LLOVET, JOSEP M · 2007 to 2011
$1.3M
NIDDK NIH HHS 1R01 DK 076986-01NIDDK NIH HHS DK 37340NIDDK NIH HHS R01 DK037340NIDDK NIH HHS R01 DK076986
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a common and deadly cancer whose pathogenesis is incompletely understood. Comparative genomic studies from human HCC samples have classified HCCs into different molecular subgroups; yet, the unifying feature of this tumor is its propensity to arise upon a background of inflammation and fibrosis. This review seeks to analyze the available experimental models in HCC research and to correlate data from human populations with them in order to consolidate our efforts to date, as it is increasingly clear that different models will be required to mimic different subclasses of the neoplasm. These models will be instrumental in the evaluation of compounds targeting specific molecular pathways in future preclinical studies.

Indexed as

Disease Models, AnimalAnimalsAnimals, Genetically ModifiedCell CycleGenomicsHepatitis BHepatitis CHumansLiver Neoplasms, ExperimentalNeoplasm TransplantationTelomereTransplantation, Heterologous

Identifiers

PMID18314222
PMCPMC2990959

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.