Evidence map›Paper›PMID 15574596›Full record

ArticleGenes & development2004

Tissue-specific tumor suppressor activity of retinoblastoma gene homologs p107 and p130.

Jan-Hermen Dannenberg, Leontine Schuijff, Marleen Dekker, Martin van der Valk, Hein te Riele

Open access · diamondAbstract read
In one paragraph

Article in Genes & development, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed, 138 citations in OpenAlex.

  1. Review
  2. Review
  3. The Tumor Suppressor p53 Downregulates p107 (International journal of molecular sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Histone Deacetylases in Retinoblastoma.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Monitoring the Cell Cycle of Tumor Cells in Mouse Models of Human Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Frontiers in cell and developmental biology · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

23 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 at 1 institution in 1 country.

Jan-Hermen DannenbergDivision of Molecular Biology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
Leontine Schuijff
Marleen Dekker
Martin van der Valk
Hein te Riele
The Netherlands Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retinoblastoma gene family consists of three genes: RB, p107, and p130. While loss of pRB causes retinoblastoma in humans and pituitary gland tumors in mice, tumorigenesis in other tissues may be suppressed by p107 and p130. To test this hypothesis, we have generated chimeric mice from embryonic stem cells carrying compound loss-of-function mutations in the Rb gene family. We found that Rb/p107- and Rb/p130-deficient mice were highly cancer prone. We conclude that in a variety of tissues tumor development by loss of pRB is suppressed by its homologs p107 and p130. The redundancy of the retinoblastoma proteins in vivo is reflected by the behavior of Rb-family-defective mouse embryonic fibroblasts in vitro.

Indexed as

AnimalsBlotting, SouthernChimeraMiceNuclear ProteinsPolymerase Chain ReactionProteinsRetinoblastoma-Like Protein p107Retinoblastoma-Like Protein p130Nuclear ProteinsProteinsRbl2 protein, mouseRetinoblastoma-Like Protein p107Retinoblastoma-Like Protein p130

Identifiers

PMID15574596
PMCPMC534655
OpenAlexW2131488073

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.