The lncRNA MAGI2-AS3 in peripheral blood mononuclear cells: a valuable biomarker for diagnosis and prognosis prediction of breast cancer
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Existing research has shown that long non-coding RNA (lncRNA) MAGI2 antisense RNA3 (MAGI2-AS3) expression is significantly decreased in breast cancer tissues and can inhibit breast cancer progression. However, the relationship between MAGI2-AS3 expression levels in peripheral blood mononuclear cells (PBMCs) and breast cancer remains unclear. This study aimed to explore the clinical significance of MAGI2-AS3 expression in PBMCs for diagnosing breast cancer and predicting patient prognosis. Methods: Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to detect MAGI2-AS3 expression in PBMCs from healthy donors and breast cancer patients. The chi-square test analyzed the associations between MAGI2-AS3 expression and breast cancer clinicopathological parameters. The Kaplan-Meier method evaluated the impact of MAGI2-AS3 on patients' overall survival (OS), and receiver operating characteristic (ROC) analysis assessed its diagnostic accuracy for breast cancer. Results: MAGI2-AS3 expression was significantly downregulated in breast cancer patients' PBMCs compared to the control group. Its expression decreased with the advancement of tumor-node-metastasis (TNM) stage and elevation of pathological grade, and was remarkably lower in patients with distant metastasis (DM). Low MAGI2-AS3 expression in PBMCs was correlated with shorter OS. ROC curve analysis showed that MAGI2-AS3 in PBMCs had good diagnostic accuracy. Conclusion: MAGI2-AS3 expression in breast cancer patients' PBMCs is reduced and negatively correlated with patient outcomes. Thus, it has the potential to be a valuable biomarker for breast cancer diagnosis and prognostic evaluation.
Source: PeerJ
DOI: 10.7717/peerj.19694
Authors: Shanmei Du, Hong Yang, Yong Yang, Kui Liu
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,395
OpenAlex ID: W4412396033
