Evidence map›Paper›PMID 23001293›Full record

ReviewMedical molecular morphology2012

Overexpression of p53 protein in human tumors.

Keiji Inoue, Atsushi Kurabayashi, Taro Shuin, Yuji Ohtsuki, Mutsuo Furihata

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical molecular morphology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Association ofBiomedical reports · 2015
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Association of p53 expression with prognosis in patients with esophageal squamous cell carcinoma.International journal of clinical and experimental pathology · 2014
    Article
  16. The protein p17 signaling pathways in cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Article
  17. 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

5 authors.

Keiji InoueDepartment of Urology, Kochi Medical School, Nankoku, Kochi, Japan. keiji@kochi-u.ac.jp
Atsushi Kurabayashi
Taro Shuin
Yuji Ohtsuki
Mutsuo Furihata

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the current concept of carcinogenesis, neoplastic transformation consists of multistep accumulations of adverse genetic and epigenetic events. p53 is a transcription factor that regulates cellular response to diverse forms of stress through a complex network which monitors genome integrity and cell homeostasis. Mutant p53 loss-of-function, dominant-negative, and gain-of-function properties have been implicated in the development of a wide variety of human cancers, and it is generally accepted that p53 is a component in biochemical pathways central to human carcinogenesis. Study of p53 has come to the forefront of cancer research, and detection of its abnormalities during the development of tumors may have diagnostic, prognostic, and therapeutic implications. In this review, we focus on recent research on overexpression of mutant p53 in human cancer, with an emphasis on mutant p53 regulation, gain of function of mutant p53 in transcriptional effects, and the diagnostic, prognostic, and predictive value of p53 overexpression in human cancer.

Indexed as

Gene Expression Regulation, NeoplasticCell Transformation, NeoplasticHumansMutationNeoplasmsTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

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.