Evaluation of the Role of hsa-mir-124 in Predicting Clinical Outcome in Breast Invasive Carcinoma Based on Bioinformatics Analysis

Joint Authors

Feng, Tongbao
Zhang, Ping
Sun, Yingxin
Han, Xiu
Tong, Jichun
Hua, Zichun

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-04

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Medicine

Abstract EN

Purpose.

Breast invasive carcinoma (BRCA) is the most common malignant tumor.

MiR-124 plays a tumor-suppressive role in human cancer.

However, the clinical significance of miR-124 in BRCA remains unclear.

The aim of this study was to evaluate the association of hsa-mir-124 expression and the clinicopathological characteristics in BRCA using database analysis.

Methods.

The clinical data and expression profiles of hsa-mir-124 were obtained from the cancer genome atlas for BRCA (TCGA_BRCA).

Then, the prognostic value of hsa-mir-124 in BRCA was investigated using the Cox Regression test, and the association of hsa-mir-124 and pathology TNM stages and pathologic stages were measured by the Kruskal–Wallis test and Wilcox.

test.

In addition, the association of hsa-mir-124 and tumor molecular phenotypes was performed using the Chi-Square test.

Results.

We found that the overall survival of patients with high expression of hsa-mir-124-1 and hsa-mir-124-2 was better than that of patients with low expression of hsa-mir-124-1 and hsa-mir-124-2.

And the expression of hsa-mir-124-1, hsa-mir-124-2, and hsa-mir-124-3 was mainly enriched in T1/T2 stages, NO/N1 stages, and M0 stages.

Then, the expression of hsa-mir-124-1, hsa-mir-124-2, and hsa-mir-124-3 was negatively associated with tumor lymph node metastasis.

Moreover, the expression of hsa-mir-124 was associated with tumor molecular phenotype in breast invasive carcinoma.

Conclusion.

Our findings indicated that hsa-mir-124 expressions were associated with overall survival, TNM stages, pathologic characteristics, and tumor molecular phenotype in BRCA via TCGA_BRCA database, providing a new biomarker and a potential therapeutic target for BRCA patients.

American Psychological Association (APA)

Feng, Tongbao& Zhang, Ping& Sun, Yingxin& Han, Xiu& Tong, Jichun& Hua, Zichun. 2020. Evaluation of the Role of hsa-mir-124 in Predicting Clinical Outcome in Breast Invasive Carcinoma Based on Bioinformatics Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1131998

Modern Language Association (MLA)

Feng, Tongbao…[et al.]. Evaluation of the Role of hsa-mir-124 in Predicting Clinical Outcome in Breast Invasive Carcinoma Based on Bioinformatics Analysis. BioMed Research International No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1131998

American Medical Association (AMA)

Feng, Tongbao& Zhang, Ping& Sun, Yingxin& Han, Xiu& Tong, Jichun& Hua, Zichun. Evaluation of the Role of hsa-mir-124 in Predicting Clinical Outcome in Breast Invasive Carcinoma Based on Bioinformatics Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1131998

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1131998