Evidence map›Paper›PMID 38751652›Full record

ArticleInternational journal of molecular and cellular medicine2023

Unraveling Roles of miR-27b-3p as a Potential Biomarker for Breast Cancer in Malay Women via Bioinformatics Analysis.

Ab Rashid Jusoh, Tengku Ahmad Damitri Al-Astani Bin Tengku Din, Muhammad-Redha Abdullah-Zawawi, Wan Faiziah Wan Abdul Rahman, Siti Norasikin Mohd Nafi, Roslaini Che Romli, Ezzeddin Kamil Mohamed Hashim, Mohd Nor Azim Ab Patar, Maya Mazuwin Yahya

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Article in International journal of molecular and cellular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ab Rashid JusohDepartment of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia.
Tengku Ahmad Damitri Al-Astani Bin Tengku DinDepartment of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia.
Muhammad-Redha Abdullah-ZawawiUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, 56000 Cheras, Kuala Lumpur, Malaysia.
Wan Faiziah Wan Abdul RahmanDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia.
Siti Norasikin Mohd NafiDepartment of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia.
Roslaini Che RomliBreast Cancer Awareness and Research Unit (BestARi), Hospital Universiti Sains Malaysia, Kelantan, Malaysia.
Ezzeddin Kamil Mohamed HashimDepartment of Biomedicine, School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia.
Mohd Nor Azim Ab Patar6 Department of Neuroscience, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Health Campus, Kelantan, Malaysia.
Maya Mazuwin YahyaBreast Cancer Awareness and Research Unit (BestARi), Hospital Universiti Sains Malaysia, Kelantan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal miRNA expression has been associated with breast cancer. Knowing miRNA and its target genes gives a better understanding of the biological mechanism behind the development of breast cancer. Here, we evaluated the potential prognostic and predictive values of miRNAs in breast cancer development by analyzing Malay women with breast cancer expression profiles. Seven differentially expressed miRNAs (DEMs) were subjected to miRNA‒target interaction network analysis (MTIN). A comprehensive MTIN was developed by integrating the information on miRNA and target gene interactions from five independent databases, including DIANA-TarBase, miRTarBase, miRNet, miRDB, and DIANA-microT. To understand the role of miRNAs in the progress of breast cancer, functional enrichment analysis of the miRNA target genes was conducted, followed by survival analysis to assess the prognostic values of the miRNAs and their target genes. In total, 1416 interactions were discovered among seven DEMs and 1274 target genes with a confidence score (CS) > 0.8. The overall survival analysis of the three most DEMs revealed a significant association of miR-27b-3p with poor prognosis in the TCGA breast cancer patient cohort. Further functional analysis of 606 miR-27b-3p target genes revealed their involvement in cancer-related processes and pathways, including the progesterone receptor signaling pathway, PI3K-Akt pathway, and EGFR transactivation. Notably, six high-confidence target genes (BTG2, DNAJC13, GRB2, GSK3B, KRAS, and UBR5) were discovered to be associated with worse overall survival in breast cancer patients, underscoring their essential roles in breast cancer development. Thus, we suggest that miR-27b-3p has significant potential as a biomarker for detecting breast cancer and can provide valuable understanding regarding the molecular mechanisms of the disease.

Indexed as

bioinformaticsbiomarkersBreast cancerdifferentially expressedMalay womenmiRNA

Identifiers

PMID38751652
PMCPMC11092903

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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.