<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13</volume><submitter>Du S</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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.&lt;h4>Conclusion&lt;/h4>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.</pubmed_abstract><journal>PeerJ</journal><pagination>e19694</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12273699</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The lncRNA MAGI2-AS3 in peripheral blood mononuclear cells: a valuable biomarker for diagnosis and prognosis prediction of breast cancer.</pubmed_title><pmcid>PMC12273699</pmcid><pubmed_authors>Yang H</pubmed_authors><pubmed_authors>Yang Y</pubmed_authors><pubmed_authors>Liu K</pubmed_authors><pubmed_authors>Du S</pubmed_authors></additional><is_claimable>false</is_claimable><name>The lncRNA MAGI2-AS3 in peripheral blood mononuclear cells: a valuable biomarker for diagnosis and prognosis prediction of breast cancer.</name><description>&lt;h4>Background&lt;/h4>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.&lt;h4>Methods&lt;/h4>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.&lt;h4>Results&lt;/h4>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.&lt;h4>Conclusion&lt;/h4>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.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2025-08-23T03:09:17.869Z</modification><creation>2025-08-23T03:09:17.869Z</creation></dates><accession>S-EPMC12273699</accession><cross_references><pubmed>40687762</pubmed><doi>10.7717/peerj.19694</doi></cross_references></HashMap>