Evidence map›Paper›PMID 21898503›Full record

ArticleHepatology (Baltimore, Md.)2012

Transforming growth factor-beta signaling promotes hepatocarcinogenesis induced by p53 loss.

Shelli M Morris, Ji Yeon Baek, Amanda Koszarek, Samornmas Kanngurn, Sue E Knoblaugh, William M Grady

Abstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. The p53 Isoforms as Potential Biomarkers in Different Cancer Entities.International journal of molecular sciences · 2026
    Review
  4. Effects of the Polar Fraction ofInternational journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Signaling pathways and therapeutic interventions in gastric cancer.Signal transduction and targeted therapy · 2022
    Review
  8. Article
  9. The role of p53 in liver fibrosis.Frontiers in pharmacology · 2022
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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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

6 authors at 3 institutions in 3 countries.

Shelli M MorrisClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
Ji Yeon Baek
Amanda Koszarek
Samornmas Kanngurn
Sue E Knoblaugh
William M Grady
Fred Hutch Cancer Center · USPrince of Songkla University · THUniversity of Washington Medical Center · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Effects of Loss of TGF-Beta Rll in the LiverR01DK060669 · NIDDK · VANDERBILT UNIVERSITY · PI GRADY, WILLIAM M · 2003 to 2006
$1.1M
NCI NIH HHS P30 CA015704NIDDK NIH HHS R01 DK060669NIDDK NIH HHS R01 DK60669-01
6 · The paper itself

Abstract

unlabelledHepatocellular carcinoma (HCC) results from the accumulation of deregulated tumor suppressor genes and/or oncogenes in hepatocytes. Inactivation of TP53 and inhibition of transforming growth factor-beta (TGF-β) signaling are among the most common molecular events in human liver cancers. Thus, we assessed whether inactivation of TGF-β signaling, by deletion of the TGF-β receptor, type II (Tgfbr2), cooperates with Trp53 loss to drive HCC formation. Albumin-cre transgenic mice were crossed with floxed Trp53 and/or floxed Tgfbr2 mice to generate mice lacking p53 and/or Tgfbr2 in the liver. Deletion of Trp53 alone (Trp53(KO) ) resulted in liver tumors in approximately 41% of mice by 10 months of age, whereas inactivation of Tgfbr2 alone (Tgfbr2(KO) ) did not induce liver tumors. Surprisingly, deletion of Tgfbr2 in the setting of p53 loss (Trp53(KO) ;Tgfbr2(KO) ) decreased the frequency of mice with liver tumors to around 17% and delayed the age of tumor onset. Interestingly, Trp53(KO) and Trp53(KO) ;Tgfbr2(KO) mice develop both HCC and cholangiocarcinomas, suggesting that loss of p53, independent of TGF-β, may affect liver tumor formation through effects on a common liver stem cell population. Assessment of potential mechanisms through which TGF-β signaling may promote liver tumor formation in the setting of p53 loss revealed a subset of Trp53(KO) tumors that express increased levels of alpha-fetoprotein. Furthermore, tumors from Trp53(KO) mice express increased TGF-β1 levels compared with tumors from Trp53(KO) ;Tgfbr2(KO) mice. Increased phosphorylated Smad3 and ERK1/2 expression was also detected in the tumors from Trp53(KO) mice and correlated with increased expression of the TGF-β responsive genes, Pai1 and Ctgf.

conclusionTGF-β signaling paradoxically promotes the formation of liver tumors that arise in the setting of p53 inactivation.

Indexed as

AnimalsBile Duct NeoplasmsBile Ducts, IntrahepaticCarcinoma, HepatocellularCholangiocarcinomaDisease Models, AnimalExtracellular Signal-Regulated MAP KinasesGene Expression Regulation, NeoplasticLiver Neoplasms, ExperimentalMAP Kinase Signaling SystemMiceMice, Inbred C57BLMice, TransgenicPhosphorylationProtein Serine-Threonine KinasesReceptors, Peptidealpha-fetoprotein receptor, mouseExtracellular Signal-Regulated MAP KinasesProtein Serine-Threonine KinasesReceptors, PeptideReceptors, Transforming Growth Factor betaReceptor, Transforming Growth Factor-beta Type IIRNA, MessengerSmad3 ProteinSmad3 protein, mouseTransforming Growth Factor beta1Tumor Suppressor Protein p53

Identifiers

PMID21898503
PMCPMC3237853
OpenAlexW2010890262

What OpenQuestion holds

Textmetadata
LicenceTDM
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.