High-Throughput Sequencing-Based Identification of Serum Exosomal Differential miRNAs in High-Grade Glioma and Intracranial Lymphoma

Joint Authors

Wang, Shun
Xu, Zhenkuan
Zhang, Chao
Yu, Rui
Jiang, Jun
Wang, Chengwei
Qu, Chuncheng

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-10-07

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

Objective.

At present, no effective noninvasive method is currently available for the differential diagnosis of high-grade glioma and intracranial lymphoma.

In the present study, we aimed to screen microRNA (miRNA) markers in serum exosomes for differential diagnosis of high-grade glioma and intracranial lymphoma using high-throughput sequencing technology.

Methods.

Patients with intracranial lymphoma or high-grade glioma and healthy controls were included in this study (training cohort (n=10) and validation cohort: intracranial lymphoma (n=10), high-grade glioma (n=32), and healthy controls (n=20)).

After RNA was extracted from serum exosomes, the high-throughput sequencing was used to determine the expression profiles of serum exosomal miRNAs and screen the differentially expressed miRNAs.

RT-qPCR was used to verify the expressions of the selected miRNAs.

The differences of miRNA expressions between groups were assessed by the Kruskal-Wallis test.

The diagnostic value was analyzed using the receiver operating characteristic (ROC) curve.

Results.

High-throughput sequencing demonstrated that 170 miRNAs, including 109 upregulated ones and 61 downregulated ones, were differentially expressed in serum exosomes between the patients with intracranial lymphoma and high-grade glioma.

Compared with the healthy controls, the number of differential serum exosomal miRNAs in the high-grade glioma group and intracranial lymphoma group was 130 and 173, respectively.

RT-qPCR proved that both miR-766-5p and miR-376b-5p were significantly downregulated in high-grade glioma and intracranial lymphoma patients compared with the healthy controls (all p<0.001), and the expression of serum exosomal miR-766-5p in the intracranial lymphoma group was lower compared with the high-grade glioma group (p<0.05).

The areas under ROC curve (AUCs) of serum exosomal miR-766-5p and miR-376b-5p for the diagnosis of glioma were 0.8883 (p<0.001) and 0.7688 (p=0.001), respectively, and they were 0.9271 (p<0.001) and 0.8542 (p<0.001), respectively, for the diagnosis of intracranial lymphoma.

Moreover, the AUC value of serum exosomal miR-766-5p for the differential diagnosis of glioma and intracranial lymphoma was 0.7201 (p=0.026).

Conclusions.

miR-766-5p and miR-376b-5p in serum exosomes might be used as auxiliary diagnostic indicators for high-grade glioma and intracranial lymphoma, and miR-766-5p might be used as a differential diagnostic marker for both diseases.

American Psychological Association (APA)

Wang, Shun& Xu, Zhenkuan& Zhang, Chao& Yu, Rui& Jiang, Jun& Wang, Chengwei…[et al.]. 2020. High-Throughput Sequencing-Based Identification of Serum Exosomal Differential miRNAs in High-Grade Glioma and Intracranial Lymphoma. BioMed Research International،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1132327

Modern Language Association (MLA)

Wang, Shun…[et al.]. High-Throughput Sequencing-Based Identification of Serum Exosomal Differential miRNAs in High-Grade Glioma and Intracranial Lymphoma. BioMed Research International No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1132327

American Medical Association (AMA)

Wang, Shun& Xu, Zhenkuan& Zhang, Chao& Yu, Rui& Jiang, Jun& Wang, Chengwei…[et al.]. High-Throughput Sequencing-Based Identification of Serum Exosomal Differential miRNAs in High-Grade Glioma and Intracranial Lymphoma. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1132327

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1132327