Evidence map›Paper›PMID 32592343›Full record

SynthesisAsian Pacific journal of cancer prevention : APJCP2020

Association of TP53 Codon 72 Arg>Pro Polymorphism with Breast and Lung Cancer Risk in the South Asian Population: A Meta-Analysis.

Sarah Jafrin, Md Abdul Aziz, Shamima Nasrin Anonna, Tahmina Akter, Nura Ershad Naznin, Sharif Reza, Mohammad Safiqul Islam

Abstract readMeta-Analysis
In one paragraph

Synthesis in Asian Pacific journal of cancer prevention : APJCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Association ofHealth science reports · 2023
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  8. TheBiomedicines · 2023
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  9. Association ofBiomedicines · 2023
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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

7 authors.

Sarah JafrinDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Md Abdul AzizDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Shamima Nasrin AnonnaDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Tahmina AkterDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Nura Ershad NazninDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Sharif RezaDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.
Mohammad Safiqul IslamDepartment of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Noakhali, Bangladesh.ORCID 0000-0003-4924-5319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA transversion missense polymorphism of the TP53 tumor suppressor gene at the codon 72 codes proline instead of arginine causes an altered p53 protein expression and has been found to be associated with an elevated risk of various cancer; especially breast and lung cancer. As the previous case-control studies on the South Asian population have shown controversial results, we performed a meta-analysis to evaluate a precise estimation of the relationship between the TP53 Arg72Pro polymorphism with breast and lung cancer.

methodsA total of 12 related studies on the South Asian population have been included through comprehensive database searching. Six studies were selected for breast cancer meta-analysis involving 950 cases and 882 controls; the other six studies were for lung cancer meta-analysis including 975 cases and 1397 controls. The results have been determined by using the Review Manager (RevMan) 5.3. Additionally, the stability of our analysis was assessed by heterogeneity, publication bias analysis and sensitivity testing.

resultsA significantly increased risk of breast cancer was found in Pro allele (Pro vs. Arg), co-dominant model 2 (Pro/Pro vs. Arg/Arg), dominant model (Pro/Pro + Arg/Pro vs. Arg/Arg). In case of lung cancer, significantly increased risk was found in the allele, co-dominant 1, co-dominant 2, co-dominant 3, dominant, and recessive models. No association with other genetic models with breast and lung cancer risk was found in the South Asian population.

conclusionsOur results indicate that TP53 Arg72Pro polymorphism is a risk factor for the development of breast cancer and lung cancer in the South Asian population.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAsiaBreast NeoplasmsCase-Control StudiesCodonFemaleHumansLung NeoplasmsPrognosisRisk FactorsTumor Suppressor Protein p53CodonTP53 protein, humanTumor Suppressor Protein p53Arg72Probreast cancerLung cancerMeta-analysisTP53 polymorphism

Identifiers

PMID32592343
PMCPMC7568897

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Registered trials

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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.