Evidence map›Paper›PMID 10557106›Full record

ReviewOncogene1999

The cellular response to p53: the decision between life and death.

R V Sionov, Y Haupt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 1 pooled it
17.7field-weighted citation impact, top 1% 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

192 citing papers in PubMed, 1 synthesis or guideline pooled it, 598 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. The Direction of Modern Therapies in Waldenström Macroglobulinaemia.Journal of cellular and molecular medicine · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Plugging synthetic DNA nanoparticles into the central dogma of life.Chemical communications (Cambridge, England) · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

132 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

2 authors.

R V SionovLautenberg Center for General and Tumor Immunology, The Hebrew University Hadassah Medical School, Jerusalem, 91120, Israel.
Y Haupt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The p53 tumor suppressor protein plays a crucial role in regulating cell growth following exposure to various stress stimuli. p53 induces either growth arrest, which prevents the replication of damaged DNA, or programmed cell death (apoptosis), which is important for eliminating defective cells. Whether the cell enters growth arrest or undergoes apoptosis, depends on the final integration of incoming signals with antagonistic effects on cell growth. Many factors affect the cellular response to activated p53. These include the cell type, the oncogenic status of the cell with emphasis on the Rb/E2F balance, the extracellular growth and survival stimuli, the intensity of the stress signals, the level of p53 expression and the interaction of p53 with specific proteins. p53 is regulated both at the levels of protein stability and biochemical activities. This complex regulation is mediated by a range of viral and cellular proteins. This review discusses this intriguing complexity which affects the cell response to p53 activation.

Indexed as

AnimalsApoptosisCell CycleCell SurvivalEnzyme ActivationGene Expression Regulation, EnzymologicHumansTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID10557106
OpenAlexW1985999867

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.