Evidence map›Paper›PMID 39552709›Full record

ArticleBiochemistry and biophysics reports2024

Investigation of CST7 and hsa-miR-4793-5p gene expression in breast cancer.

Niloufar Sadat Kalaki, Mozhgan Ahmadzadeh, Mandana Dehghan, Venus Shahabi Rabori, Sima Davoudi, Hamed Afkhami

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2024. 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
–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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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.

  1. Review
  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

6 authors.

Niloufar Sadat KalakiDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
Mozhgan AhmadzadehDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
Mandana DehghanStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Venus Shahabi RaboriDepartment of Cardiology, Urmia University of Medical Sciences, Urmia, Iran.
Sima DavoudiDepartment of Clinical Oncology, Omid Hospital, Urmia University of Medical Sciences, Urmia, Iran.
Hamed AfkhamiCellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) presents as a worldwide challenge, known as the most frequently diagnosed cancer in women. In 2022, BC was diagnosed in 2.3 million women with 670,000 deaths globally. In this research, our objective was to examine the CST7 and has-miR-4793-5p gene expression in BC tumor tissues and adjacent normal tissues. Using GSE57897 gene expression data from 422 BC samples and 31 breast samples from healthy controls which was based on the Platform GPL18722 (spotted oligonucleotide Homo sapiens microRNA (miRNA) array) in the Gene Expression Omnibus (GEO) and compare with miRNAs with a conserved target location on CST7 mRNA were found using databases. The study population included 60 fresh BC tissue samples and adjacent normal tissues as control. The Quantitative Real-Time PCR was used to evaluate the expression levels of CST7 and has-miR-4793-5p in the breast tissues. The present study, found that CST7 and hsa-miR-4793-5p were significantly increased in tumoral tissues in compare to normal tissues. Further analysis revealed a remarkable association between CST7 and hsa-miR-4793-5p gene expression alteration. ROC curve analysis demonstrated high accuracy for CST7 expression in BC tumors. Comparison of gene expression between different stages and patient family history showed significant findings. Due to the high sensitivity and specificity of the expression changes of these two genes, they are suitable candidates for further investigations to be considered as part of a diagnosis and prognosis panel.

Indexed as

Breast cancerCST7Hsa-miR-4793-5pmiRNA

Identifiers

PMID39552709
PMCPMC11566318

What Socratic holds

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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 Socratic graph.