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Updated: Jul 11, 2025

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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
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Prognostic Impact of AGR3 Protein Expression in Breast Cancer: A Systematic Review and Meta-analysis
Carolina Leão de Moraes1,2, Carolina Rodrigues Mendonça1, Natália Cruz E Melo3
1Faculdade de Medicina, Universidade Federal de Goiás, Goiânia, GO, Brazil.
Summary
Anterior gradient 3 (AGR3) protein is expressed in 62% of breast cancers and may serve as a biomarker for early detection. AGR3 expression is linked to poorer survival in specific patient groups.
Area of Science:
- Oncology
- Biomarker Discovery
- Molecular Pathology
Background:
- Anterior gradient 3 (AGR3) protein's role in breast cancer prognosis is not fully understood.
- Investigating AGR3 expression can provide insights into breast cancer development and patient outcomes.
Approach:
- A systematic literature search was conducted across major databases (PubMed, CINAHL, EMBASE, Scopus, Web of Science).
- Included studies focused on AGR3 protein expression via immunohistochemistry in invasive breast cancer.
- A meta-analysis synthesized data from 4 studies encompassing 713 breast cancer cases.
Key Points:
- AGR3 expression was observed in 62% of breast cancer cases.
- AGR3 expression correlated with specific clinicopathological features: histological grade II, ER/PR positivity, low Ki67, and luminal subtypes.
- AGR3 expression was associated with recurrence and distant metastasis.
Conclusions:
- AGR3 protein shows potential as a biomarker for early breast cancer detection and prognosis in luminal subtypes.
- In patients with low and intermediate histological grades, AGR3 expression indicates a potentially unfavorable prognosis regarding survival.

