Evidence map›Paper›PMID 41123727›Full record

ArticleJournal of neuro-oncology2025

miR-21 as a diagnostic and prognostic biomarker in glioma: tissue and serum expression analysis in a Pakistani cohort.

Altaf Ali Laghari, Sufiyan Sufiyan, Wajiha Amin, Sahar Ilyas, Sana Naeem, Umer Adnan, Syed Hani Abidi, Siraj Uddin, Syed Ather Enam, Nouman Mughal

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Article in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Altaf Ali Laghari *Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Sufiyan Sufiyan *Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Wajiha AminDepartment of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Sahar IlyasCenter of Oncological Research in Surgery, Aga Khan University, Karachi, Pakistan.
Sana NaeemCenter of Oncological Research in Surgery, Aga Khan University, Karachi, Pakistan.
Umer AdnanMedical College Aga Khan University, Karachi, Pakistan.
Syed Hani AbidiDepartment of Biomedical Sciences, Nazarbayev School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan.
Siraj UddinDepartment of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Syed Ather EnamDepartment of Surgery, Aga Khan University Hospital, Karachi, Pakistan. ather.enam@aku.edu.
Nouman MughalDepartment of Biological & Biomedical Science, Aga Khan University Hospital, Karachi, Pakistan. mughaln.muhammad@gmail.com.

Funding

Higher Education Commision, Pakistan This study was funded by the Higher Education Commission (Ref No. 20-16919/NRPU/R& D/HEC/2021).
6 · The paper itself

Abstract

backgroundGliomas are heterogeneous primary brain tumors with a poor prognosis, particularly in higher grades. MicroRNA-21 (miR-21) has emerged as a potential oncogenic biomarker in various cancers, including gliomas; however, its clinical utility in low- and middle-income countries (LMICs) remains underexplored. This study investigates the prognostic and diagnostic potential of miR-21 in glioma tissues and serum, examining its association with clinical and molecular features, tumor volume, and patient survival. METHODOLOGY: We collected 90 tumor tissue samples, 42 paired pre-and post-operative serum samples from glioma patients, and 10 normal adjacent brain tissue (NAT) samples, along with serum samples from 8 healthy individuals, to assess miR-21 expression using RT-qPCR. The Shapiro-Wilk test was performed to evaluate the data distribution. To analyze differences in gene expression, we applied ANOVA, Fisher's exact test, the Wilcoxon test, and pairwise Student's t-tests. miR-21 expression levels were further examined for correlation with Kaplan-Meier survival curves and the status of molecular markers, including IDH, Ki-67, ATRX, and p53. The hazard ratio for miR-21 as a prognostic indicator was quantified using Cox regression analysis.

resultsMicroRNA-21 expression in glioma tissue progressively increased with tumor grade when compared to controls and across different glioma grades. A significant elevation in miR-21 expression was observed between grade 4 glioma tissues and control tissues, with additional significant differences between grade 1 and grade 4, as well as between grade 2 and grade 4. While tissue expression of miR-21 showed a positive trend with tumor volume, this correlation did not reach statistical significance. Moreover, gliomas with IDH-wildtype status and high Ki-67 expression demonstrated significantly higher miR-21 levels compared to IDH-mutant and low Ki-67 groups, respectively. Patients with low miR-21 expression had significantly longer overall survival (OS) compared to those with high miR-21 expression levels. Quantitative hazard analysis revealed that patients in the high-expression group had a 3.4-fold increased risk of mortality (95% CI: 1.6-7.1), with an AUC of 0.742 (all p < 0.05). Notably, significantly elevated miR-21 expression was found in patients over the age of 50. In serum samples, miR-21 expression was significantly lower in the healthy control group and in post-operative samples compared to pre-operative samples across grades 2, 3, and 4 glioma patients. This suggests its potential utility as a non-invasive diagnostic and monitoring biomarker. The decline in serum miR-21 levels following tumor resection supports its association with tumor presence and progression. However, the prognostic significance was limited by cohort size and grade imbalance.

conclusionmiR-21 is significantly upregulated in both glioma tissue and serum, particularly in high-grade and IDH-wildtype tumors. It is strongly associated with poor clinical outcomes and aggressive molecular features. Its prognostic value is robust both alone and in combination with established markers. Furthermore, dynamic changes in serum miR-21 levels post-surgery highlight its potential utility in disease monitoring. These findings support the incorporation of miR-21 into glioma diagnostic and prognostic frameworks, enhancing clinical decision-making and personalized treatment approaches. miR-21 serves as a strong tissue-based prognostic marker in gliomas and a promising serum biomarker for tumor monitoring. While tissue findings align with global data, further studies are required to validate the serum results. This work underscores the clinical relevance of miR-21 in low- and middle-income countries (LMICs), where non-invasive tools are urgently needed.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaMicroRNAsAdolescentAdultAgedCohort StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPakistanPrognosisYoung AdultBiomarkers, TumorMicroRNAsMIRN21 microRNA, humanClinical outcomesDiagnostic markerGliomasMicroRNA-21 (miR-21)Patient survivalPrognostic markerRT-qPCRSerum biomarkerTumor gradeTumor volume

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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.