Evidence map›Paper›PMID 41743246›Full record

ArticleIranian journal of medical sciences2026

Expression Analysis of

Mohadeseh Khoshandam, Mohammad Rahmanian, Mohammad Taghi Hedayati Goudarzi, Hossein Soltaninejad, Sadegh Babashah, Mahdiye Khoshandam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Iranian journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mohadeseh KhoshandamDepartment of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Mohammad RahmanianGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Taghi Hedayati GoudarziDepartment of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
Hossein SoltaninejadDepartment of Stem Cells Technology and Tissue Regeneration, Faculty of Interdisciplinary Science and Technologies, Tarbiat Modares University, Tehran, Iran.
Sadegh BabashahDepartment of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Mahdiye KhoshandamDepartment of Cell Biology and Regenerative Medicine, Academic Center for Education, Culture and Research, Qom Branch, Qom, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is the most common form of cancer among women worldwide, and the rates of both new cases and deaths have increased over the past two decades. The aim of the study was to identify and validate molecular pathways that could potentially be targeted for therapeutic interventions. Methods: The bioinformatics resource WebGestalt was used to determine the functional annotation of the Gene Ontology, as well as enrichment analysis of Reactome and KEGG pathways in 2023-2024. GeneMANIA, a server for assessing protein-gene interactions, co-localization, pathways, co-expression, and protein-domain similarity of target genes and their interacting genes, was evaluated via this web tool. GEO was also used to determine mRNA expression levels in BRCA individuals. R packages were used to screen for differentially expressed genes for both datasets. On the other hand, the open cancer resources GENT2 TNMPlot, UCSCXena, ENCORI platform, BioXpress, OncoDB, OncoMX, and GEPIA2 were used to measure the differential expression of mRNAs in BRCA patients. Results: Among the genes analyzed, matrix metalloproteinase-9 ( Conclusion: The results predict that the hub genes correlated with angiogenesis may serve as potential therapeutic targets or could be biomarkers for breast cancer.

Indexed as

Breast NeoplasmsComputational BiologyVascular Endothelial Growth Factor AFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMatrix Metalloproteinase 9Signal TransductionMatrix Metalloproteinase 9Vascular Endothelial Growth Factor AVEGFA protein, humanBreast neoplasmsGene regulatory networksVascular endothelial growth factor A

Identifiers

PMID41743246
PMCPMC12929908

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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.