Evidence map›Paper›PMID 41507280›Full record

ArticleScientific reports2026

Genotype-phenotype correlations in breast cancer susceptibility: evaluating MMP-2, TYMS, and eNOS variants in the Jordanian population.

Mohammed Alorjani, Laith Al-Eitan, Haneen Ali, Malek Ghabbish

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Mohammed AlorjaniDepartment of Pathology and Microbiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Laith Al-EitanDepartment of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid, 22110, Jordan. lneitan@just.edu.jo.
Haneen AliDepartment of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Malek GhabbishDepartment of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid, 22110, Jordan.

Funding

Deanship of Research at the Jordan University of Science and Technology 20210403
6 · The paper itself

Abstract

Breast cancer (BC) is a complex, polygenic, and heterogeneous disease influenced by both genetic and environmental factors. Several genetic polymorphisms, including single nucleotide variants (SNVs) and variable number tandem repeats (VNTRs), have been implicated in BC susceptibility and prognosis across diverse populations. This study aimed to assess the association between genetic variants in the MMP-2, TYMS, and eNOS genes and breast cancer risk in the Jordanian population. A case-control study was conducted involving 300 BC patients and 321 healthy controls. Genotyping was performed using conventional PCR and PCR-RFLP techniques to analyze one SNV in MMP-2 (rs2285053) and two VNTRs in TYMS (rs45445694) and eNOS. The MMP-2 SNV (rs2285053) and TYMS VNTR (rs45445694) showed significant associations with increased BC risk, whereas the eNOS VNTR exhibited no significant correlation. Significant genetic associations were identified under the co-dominant and recessive models, particularly for the T/T and C/T genotypes compared with C/C. No significant relationship was found between these variants and patient survival; however, TYMS mRNA expression was significantly associated with survival probability (p = 0.0185). Overall, these findings suggest that MMP-2 and TYMS variants contribute to breast cancer susceptibility among Jordanians, with TYMS expression serving as a potential prognostic biomarker.

Indexed as

Biomarkers, TumorBreast NeoplasmsMatrix Metalloproteinase 2Nitric Oxide Synthase Type IIIThymidylate SynthaseAdultAgedAged, 80 and overCase-Control StudiesFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticGenetic Association StudiesGenetic Predisposition to DiseaseHumansJordanBiomarkers, TumorMatrix Metalloproteinase 2MMP2 protein, humanNitric Oxide Synthase Type IIINOS3 protein, humanThymidylate SynthaseTYMS protein, humanCarcinomaeNOSMMP-2PolymorphismTYMS

Identifiers

PMID41507280
PMCPMC12864866

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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.