Evidence map›Paper›PMID 33076844›Full record

SynthesisBMC medical genetics2020

p.Arg72Pro polymorphism of P53 and breast cancer risk: a meta-analysis of case-control studies.

Brehima Diakite, Yaya Kassogue, Guimogo Dolo, Jun Wang, Erin Neuschler, Oumar Kassogue, Mamadou L Keita, Cheick B Traore, Bakarou Kamate, Etienne Dembele and 5 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medical genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Association Between theFrontiers in genetics · 2022
    Pooled it
  4. Article
  5. Article
  6. A Missense Variant inInternational journal of molecular sciences · 2024
    Article
  7. Article
  8. Association ofBiomedicines · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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

15 authors.

Brehima DiakiteFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali. br.diakite@yahoo.fr.ORCID 0000-0001-8296-5292
Yaya KassogueFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.
Guimogo DoloFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.
Jun WangPreventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern University, Chicago, IL, 60611, USA.
Erin NeuschlerDepartment of Radiology, College of Medicine, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Oumar KassogueFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.
Mamadou L KeitaTeaching Hospital Center of Point G, 333, Bamako, Mali.
Cheick B TraoreFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.
Bakarou KamateFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.
Etienne DembelePreventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern University, Chicago, IL, 60611, USA.
Sellama NadifiHassan II University Aïn chock, 20000, Casablanca,19, Rue Tarik Ibnou Ziad,, Morocco.
Robert L MurphyPreventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern University, Chicago, IL, 60611, USA.
Seydou DoumbiaFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.
Lifang HouPreventive Medicine Department, Cancer Epidemiology and Prevention, Northwestern University, Chicago, IL, 60611, USA.
Mamoudou MaigaFaculty of Medicine and Odontostomatology, 1805, Université des Sciences, des Techniques et des Technologies Sciences de Bamako (USTTB), Hamdallaye ACI, 2000, Bamako, Mali.

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
West African Center of Excellence for Global Health Bioinformatics Research TrainingU2RTW010673 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI DOUMBIA, SEYDOU, LI, JIAN · 2017 to 2021
$1.2M
FIC NIH HHS D43 TW010543FIC NIH HHS U2R TW010673
6 · The paper itself

Abstract

backgroundThe effect of the p.Arg72Pro variant of the P53 gene on the risk of development ofbreast cancer remains variable in populations. However, the use ofstrategies such aspoolingage-matched controls with disease may provide a consistent meta-analysis. Our goal was to perform a meta-analysis in order to assess the association of p.Arg72Pro variant of P53 gene with the risk of breast cancer.

methodsDatabases such as PubMed, Genetics Medical Literature, Harvard University Library, Web of Science and Genesis Library were used to search articles. Case-control studies with age-matched on breast cancer havingevaluated the genotype frequencies of the TP53 p.Arg72Pro polymorphism were selected. The fixed and random effects (Mantel-Haenszel) were calculated using pooled odds ratio of 95% CI to determine the risk of disease. Inconsistency was calculated to determine heterogeneity among the studies. The publication bias was estimated using the funnel plot.

resultsTwenty-one publications with 7841 cases and 8876 controls were evaluated in this meta-analysis. Overall, our results suggested that TP53 p.Arg72Pro was associated with the risk of breast cancer for the dominant model (OR = 1.09, 95% CI = 1.02-1.16, P = 0.01) and the additive model (OR = 1.09, 95% CI = 1.01-1.17, P = 0.03), but not for the recessive model (OR = 1.07, 95% CI = 0.97-1.18, P = 0.19). According to the ethnic group analysis, Pro allele was associated with the risk of breast cancer in Caucasians for the dominant model and additive model (P = 0.02), and Africans for the recessive model and additive model (P = 0.03).

conclusionsThis meta-analysis found a significant association between TP53 p.Arg72Pro polymorphism and the risk of breast cancer. Individuals carrying at least one Pro allele were more likely to have breast cancer than individuals harboring the Arg allele.

Indexed as

Amino Acid SubstitutionPolymorphism, Single NucleotideAllelesBreast NeoplasmsCase-Control StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansRisk FactorsTumor Suppressor Protein p53Tumor Suppressor Protein p53Breast cancerMeta-analysisP53 genep.Arg/pro polymorphism

Identifiers

PMID33076844
PMCPMC7574232

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.