Evidence map›Paper›PMID 31450925›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2019

Gene Combination of CD44 rs187116, CD133 rs2240688, NF-κB1 rs28362491 and GSTM1 Deletion as a Potential Biomarker in Risk Prediction of Breast Cancer in Lower Northern Thailand.

Kamonpat Sapcharoen, Phanchana Sanguansermsri, Sukkid Yasothornsrikul, Kanha Muisuk, Metawee Srikummool

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  8. 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

5 authors at 2 institutions in 1 country.

Kamonpat SapcharoenDepartment of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand. Email: metaweesr@nu.ac.th
Phanchana SanguansermsriDepartment of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand. Email: metaweesr@nu.ac.th
Sukkid YasothornsrikulDepartment of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand. Email: metaweesr@nu.ac.th
Kanha MuisukDepartment of Forensic Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Metawee SrikummoolDepartment of Biochemistry, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand. Email: metaweesr@nu.ac.th
Naresuan University · THKhon Kaen University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biomarkers play an important role in oncology, including risk assessment, treatment prediction, and monitoring the progression of disease. In breast cancer, many genes are used as biomarkers. Since, several SNP variations of hallmark – related genes have been reported to be of value in risk prediction in various cancers and populations, some genetic polymorphism loci were combined and reported as biomarkers for use in the risk assessment of breast cancer in Thai people. Methods: Twelve cancer gene hallmarks (15 polymorphic loci) were selected and genotyped in 184 breast cancer patients and 176 healthy individuals in Phitsanulok, Thailand. Results: AA genotype of CD44 rs187116 (c.67+4883G>A), the C allele of CD133 rs2240688 (c.*667A>C), the *2 allele (4 bp deletion) of NF-κB1 rs28362491 and the homozygous null allele genotype of GSTM1 were significantly associated with an increased risk of breast cancer (p<0.05). A combination of these 4 significant loci showed that AA-AA-*1*1-homozygous null allele genotype has the greatest correlation with increased risk of breast cancer (OR = 21.00; 95% CI: 1.77 to 248.11; p = 0.015), followed by GA-AA-*2*2- homozygous null allele genotype (p = 0.037) and GG-AC-*1*2- homozygous null allele genotype (p = 0.028). Conclusion: These findings suggest that the polymorphisms of CD44 rs187116 (c.67+4883G>A), CD133 rs2240688 (c.*667A>C), NF-κB1 rs28362491 and GSTM1 homozygous null allele genotype might be associated with an increased risk of breast cancer, and this gene combination could possibly be used as biomarkers for risk prediction, which would be of benefit in planning health surveillance and cancer prevention.

Indexed as

Gene DeletionPolymorphism, Single NucleotideAC133 AntigenBiomarkers, TumorBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeGlutathione TransferaseHumansHyaluronan ReceptorsIncidenceNF-kappa B p50 SubunitPrognosisRisk FactorsAC133 AntigenBiomarkers, TumorCD44 protein, humanGlutathione TransferaseHyaluronan ReceptorsNF-kappa B p50 SubunitNFKB1 protein, humanPROM1 protein, humanbreast cancerCancer surveillanceGenetic biomarkerPolymorphism

Identifiers

PMID31450925
PMCPMC6852831
OpenAlexW2969713918

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.