Back

Clinical and Molecular Characterization of Glioma Patients: miR-21 Expression as a Prognostic Biomarker in Tissue and Serum

Laghari, A. A.; Sufiyan, S.; Amin, W.; Adnan, U.; Naeem, S.; Abidi, S. H.; Ilyas, S.; Uddin, S.; Bajwa, M. H.; Enam, S. A.; Mughal, N.

2024-11-21 molecular biology
10.1101/2024.11.20.624501 bioRxiv
Show abstract

BackgroundGlioma remains challenging due to high recurrence rates and resistance to treatment. Diagnosis and follow-up in resource-constrained regions often leads to significant patient attrition. Serum microRNA (miRNA) expression profiles, which have been shown to correlate with tissue expression profiles, are detectable in peripheral blood samples, providing a promising avenue for non-invasive and repeatable liquid biopsies. miR-21 shows promise in many populations; however, there is a dearth of data from our region. MethodologyWe collected 90 tumor tissues, 42 pre- and post-operative serum samples from glioma patients, and included 10 normal tissue adjacent to the tumor (NATs) along with serum samples from 8 healthy individuals and analyzed for miR-21 expression through RT-qPCR. Shapiro Wilk test was applied to calculate data distribution, ANOVA, Fishers exact, and Wilcox test, along with pairwise Students t-test, were applied to determine the differences in gene expression. The expression level of miR-21 was assessed for correlation with Kaplan-Meier survival curves and different molecular markers (IDH, Ki-67, ATRX and p53). The quantitative hazard ratio was determined using Cox regression analysis. ResultsmiR-21 expression in tissue increased with the mean log fold expression 0.101 (median fold = 2.35) in grade 2, 1.00 (median fold = 7.49) in grade 3 and 1.53 (median fold = 26.0) in grade 4 for glioma patients. The expression level showed significant difference between control tissue and grade 4 patients along with significant inter-comparison between grade 1 and grade 4, as well as grade 2 and grade 4.A significant elevated expression of miR-21 has been noticed in patients above 50 years of age. Similarly, in serum samples a significant decline in miR-21 expression was observed in post-operative samples as compared to pre-operative samples mean log fold in grade 2 is 1.30 (11.6-fold), grade 3 is 1.08 (15.3-fold) and grade 4 is 0.749 (13.2-fold). Furthermore, there was positive correlation of miR-21 expression with tumor volume. IDH-wildtype and high Ki-67 expression in gliomas showed significant upregulation of miR-21 compared to IDH-mutant and low Ki-67 respectively. Patients with low miR-21 expression had significantly longer overall survival (OS) than patients with high miR-21 expression. Quantitative hazard analysis indicates that patients in the high expression group have a 3.4 times higher risk of mortality (95% CI: 1.6-7.1), in comparison to patients in the low expression group with AUC of 0.742 (all p <0.05). ConclusionThis study demonstrates the potential of microRNA 21 as a serum biomarker for early, cost-effective diagnosis of glioma. Furthermore, it may inform the development of targeted treatment strategies for various glioma grades, particularly in our population.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 5%
23.5%
2
Neuro-Oncology Advances
24 papers in training set
Top 0.1%
18.3%
3
Scientific Reports
3102 papers in training set
Top 15%
6.6%
4
FEBS Open Bio
29 papers in training set
Top 0.1%
5.1%
50% of probability mass above
5
BMC Cancer
52 papers in training set
Top 0.4%
4.5%
6
Diagnostics
48 papers in training set
Top 0.4%
3.7%
7
Biology Methods and Protocols
53 papers in training set
Top 0.2%
3.7%
8
PeerJ
261 papers in training set
Top 6%
1.8%
9
Cells
232 papers in training set
Top 3%
1.5%
10
Annals of Translational Medicine
17 papers in training set
Top 0.9%
1.3%
11
Frontiers in Molecular Biosciences
100 papers in training set
Top 3%
1.2%
12
Genomics
60 papers in training set
Top 2%
0.9%
13
Neoplasia
22 papers in training set
Top 0.4%
0.9%
14
Frontiers in Genetics
197 papers in training set
Top 8%
0.9%
15
Biomedicines
66 papers in training set
Top 2%
0.9%
16
BMC Medical Informatics and Decision Making
39 papers in training set
Top 2%
0.9%
17
Journal of the Neurological Sciences
17 papers in training set
Top 0.5%
0.9%
18
Cancer Medicine
24 papers in training set
Top 1%
0.8%
19
Molecular Neurobiology
50 papers in training set
Top 0.8%
0.8%
20
Interface Focus
14 papers in training set
Top 0.2%
0.8%
21
Cancers
200 papers in training set
Top 4%
0.8%
22
Bioengineering
24 papers in training set
Top 1%
0.8%
23
F1000Research
79 papers in training set
Top 5%
0.7%
24
Biomolecules
95 papers in training set
Top 3%
0.7%
25
Cell Cycle
14 papers in training set
Top 0.4%
0.7%
26
Molecular Biology Reports
19 papers in training set
Top 0.8%
0.5%
27
Frontiers in Medicine
113 papers in training set
Top 8%
0.5%
28
Epigenetics
43 papers in training set
Top 1%
0.5%