Evidence map›Paper›PMID 20182618›Full record

ReviewCold Spring Harbor perspectives in biology2010

Mutant p53 gain-of-function in cancer.

Moshe Oren, Varda Rotter

Open access · bronzeAbstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 457 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
457citing papers in PubMed, 1 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

457 citing papers in PubMed, 1 synthesis or guideline pooled it, 752 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Journal of enzyme inhibition and medicinal chemistry · 2026
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  20. TP53 mutations and MDM2 polymorphisms in breast and ovarian cancers: amelioration by drugs and natural compounds.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review

397 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 at 1 institution in 1 country.

Moshe OrenDepartment of Molecular Cell Biology, The Weizmann Institute, Rehovot 76100, Israel. moshe.oren@weizmann.ac.il
Varda Rotter
Weizmann Institute of Science · IL

Funding

Functional analysis of the p53 tumor suppressorR37CA040099 · NCI · WEIZMANN INSTITUTE OF SCIENCE · PI OREN, MOSHE · 2003 to 2012
$2.2M
NCI NIH HHS R37 CA040099NCI NIH HHS R37 CA40099
6 · The paper itself

Abstract

In its wild-type form, p53 is a major tumor suppressor whose function is critical for protection against cancer. Many human tumors carry missense mutations in the TP53 gene, encoding p53. Typically, the affected tumor cells accumulate excessive amounts of the mutant p53 protein. Various lines of evidence indicate that, in addition to abrogating the tumor suppressor functions of wild-type p53, the common types of cancer-associated p53 mutations also endow the mutant protein with new activities that can contribute actively to various stages of tumor progression and to increased resistance to anticancer treatments. Collectively, these activities are referred to as mutant p53 gain-of-function. This article addresses the biological manifestations of mutant p53 gain-of-function, the underlying molecular mechanisms, and their possible clinical implications.

Indexed as

ApoptosisGene Expression Regulation, NeoplasticGenes, p53AllelesAnimalsDisease Models, AnimalHumansMiceMice, TransgenicMutationNeoplasm MetastasisNeoplasmsTranscription, GeneticTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID20182618
PMCPMC2828285
OpenAlexW2112396116

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.