Evidence map›Paper›PMID 33555293›Full record

ArticleJournal of the National Cancer Institute2021

Effect of the p53 P72R Polymorphism on Mutant TP53 Allele Selection in Human Cancer.

Cristabelle De Souza, Jill Madden, Devin C Koestler, Dennis Minn, Dennis J Montoya, Kay Minn, Alan G Raetz, Zheng Zhu, Wen-Wu Xiao, Neeki Tahmassebi and 4 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
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  8. Association of P53 Codon 72 Polymorphism with Ovarian Cancer: An Institutional Study.Asian Pacific journal of cancer prevention : APJCP · 2025
    Article
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  12. Review
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  20. TheBiomedicines · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Cristabelle De SouzaDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.ORCID 0000-0001-9734-9492
Jill MaddenThe Division of Genetics and Genomics, The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-7045-1232
Devin C KoestlerDepartment of Biostatistics and Data Science, Kansas University Medical Center, Kansas City, KS, USA.
Dennis MinnCollege of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA.ORCID 0000-0002-9734-1471
Dennis J MontoyaDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.ORCID 0000-0002-0802-3309
Kay MinnNovogene Corporation, Sacramento, CA, USA.
Alan G RaetzDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.ORCID 0000-0003-2039-3692
Zheng ZhuDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.ORCID 0000-0002-4112-5294
Wen-Wu XiaoDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.
Neeki TahmassebiDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.
Harikumara R KathiDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.
Nina NelsonDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.ORCID 0000-0003-2353-4702
Anthony N KarnezisDepartment of Pathology and Laboratory Medicine, UC Davis Medical Center, Sacramento, CA, USA.ORCID 0000-0003-2924-1126
Jeremy ChienDepartment of Biochemistry and Molecular Medicine, UC Davis Medical Center, Sacramento, CA, USA.ORCID 0000-0003-4744-8374
University of California Davis Medical Center · USBoston Children's Hospital · USUniversity Medical Center · USUniversity of Massachusetts Amherst · USUniversity of New Mexico · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
Novel Approaches for the Control of Microbial PathogensP30GM103326 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI LUTKENHAUS, JOSEPH F · 2012 to 2016
$5.3M
NCI NIH HHS P30 CA093373NCI NIH HHS P30 CA168524NIGMS NIH HHS P20 GM130423NIGMS NIH HHS P30 GM103326
6 · The paper itself

Abstract

backgroundTP53 mutations occur in more than 50% of cancers. We sought to determine the effect of the intragenic P72R single nucleotide polymorphism (SNP; rs1042522) on the oncogenic properties of mutant p53.

methodsP72R allelic selection in tumors was determined from genotype calls and a Gaussian distributed mixture model. The SNP effect on mutant p53 was determined in p53-negative cancer cell lines. RNA-sequencing, chromatin immunoprecipitation, and survival analysis were performed to describe the SNP effect. All statistical tests were 2-sided.

resultsAmong 409 patients with germline heterozygous P72R SNP who harbored somatic mutations in TP53, we observed a selection bias against missense TP53 mutants encoding the P72 SNP (P = 1.64 x 10-13). Exogenously expressed hotspot p53 mutants with the P72 SNP were negatively selected in cancer cells. Gene expression analyses showed the enrichment of p53 pathway genes and inflammatory genes in cancer cells transduced with mutants encoding P72 SNP. Immune gene signature is enriched in patients harboring missense TP53 mutations with homozygous P72 SNP. These patients have improved overall survival as compared with those with the R72 SNP (P = .04).

conclusionThis is the largest study demonstrating a selection against the P72 SNP. Missense p53 mutants with the P72 SNP retain partial wild-type tumor-suppressive functions, which may explain the selection bias against P72 SNP across cancer types. Ovarian cancer patients with the P72 SNP have a better prognosis than with the R72 SNP. Our study describes a previously unknown role through which the rs1042522 SNP modifies tumor suppressor activities of mutant p53 in patients.

Indexed as

Ovarian NeoplasmsTumor Suppressor Protein p53AllelesFemaleGenes, p53HumansPolymorphism, Single NucleotideTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID33555293
PMCPMC8633460
OpenAlexW3127001337

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.