Evidence map›Paper›PMID 34967580›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Intronic Variant of MUTYH Gene Exhibits A Strong Association with Early Onset of Breast Cancer Susceptibility in Indonesian Women Population.

Sonar Soni Panigoro, Erlin Listiyaningsih, Ika Nurlaila, Bharuno Mahesworo, Alam Ahmad Hidayat, Arif Budiarto, Digdo Sudigyo, Dian Amirullah, Simon Simon, James Baurley and 1 more

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 2 institutions in 1 country.

Sonar Soni PanigoroFaculty of Medicine, Universitas Indonesia, Jakarta 10430, Indonesia.ORCID 0000-0003-0748-9884
Erlin ListiyaningsihGenetics Indonesia, Jakarta, 12940, Indonesia.
Ika NurlailaBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia.
Bharuno MahesworoBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia.ORCID 0000-0003-1017-2917
Alam Ahmad HidayatBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia.ORCID 0000-0002-1537-8570
Arif BudiartoBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia.
Digdo SudigyoBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia.ORCID 0000-0003-1541-4698
Dian AmirullahGenetics Indonesia, Jakarta, 12940, Indonesia.
Simon SimonGenetics Indonesia, Jakarta, 12940, Indonesia.
James BaurleyBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia.
Bens PardameanBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta 11480, Indonesia.
Binus University · IDUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSeveral studies have recently indicated a huge shifting pattern toward early age onset cases in breast cancer (BC) patients. However, the studies exerted relatively limited to the Caucasian population. This preliminary study is aimed to investigate the genetic risk factors for young BC patients specifically in Indonesia population.

methodsDNA samples were extracted from 79 BC patients aged younger than 40 years old and 90 healthy samples. These DNA samples were sequenced using Illumina NextSeq 500 platform and preprocessed to extract the single-nucleotide polymorphisms (SNPs) data. Firstly, multiple univariate logistic regressions were performed to test the association between each SNP and BC incidence in young patients. Furthermore, to analyze the polygenic effects derived from multiple SNPs, we employed a multivariate logistics regression.

resultsThere were only 15 SNPs passed our 95% call rate threshold thus subsequently were used in the association test. One of these variants, rs3219493, emerged to be significantly associated with early-onset BC (p-value = 0.025, OR = 3.750, 95% CI = 1.178-11.938). This result is consistent with the multivariate logistic regression model, where the pertinent variant was found statistically significant (p-value = 0.008, OR = 8.398, 95% CI = 1.720-40.920). This variant was identified as an intronic variant within MUTYH gene which has been reported in several published studies to exhibit an association with the incidence of breast cancer in China, Italy and Sephardi Jews population. However, there is no evident this gene impacting the risk of developing early onset of BC in Indonesia population.

conclusionDespite our limitation in terms of sample size analyzed in this preliminary study, our finding on significant association of intronic MUTHY with the early onset of BC in Indonesia led to a broadened insight of population-based unique aspect to being taken into an in-depth account for and advancement of chemotherapy.

Indexed as

AdultAsian PeopleBreast NeoplasmsCase-Control StudiesDNA GlycosylasesFemaleGenetic Predisposition to DiseaseHumansIncidenceIndonesiaLogistic ModelsPolymorphism, Single NucleotideDNA GlycosylasesmutY adenine glycosylasebreast cancerearly onsetIndonesiaMUTYH

Identifiers

PMID34967580
PMCPMC9080386
OpenAlexW4200197425

What OpenQuestion holds

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LicenceCC BY-NC
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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.