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Updated: Aug 30, 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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ACBD3 Bioinformatic Analysis and Protein Expression in Breast Cancer Cells
Jack Houghton-Gisby1, Rachel Kerslake1, Emmanouil Karteris1
1Centre for Genome Engineering and Maintenance, Institute for Health Medicine and Environments, Brunel University London, Uxbridge UB8 3PH, UK.
International Journal of Molecular Sciences
|August 26, 2022
Summary
Elevated ACBD3 protein levels are linked to poorer outcomes in breast cancer patients. This suggests ACBD3 may serve as a potential biomarker for aggressive disease and treatment resistance.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- The protein ACBD3 is implicated in breast cancer progression.
- Its diverse functions and cellular localization suggest a significant role in the disease.
Purpose of the Study:
- To investigate the role of ACBD3 in breast cancer.
- To analyze ACBD3 expression, mutation, and its impact on patient survival.
- To examine ACBD3 localization within breast cancer tissues.
Main Methods:
- Bioinformatic database queries for expression and mutation analysis.
- Statistical analysis of ACBD3 expression against patient outcomes (relapse-free, overall, distant metastasis-free survival).
- Immunohistochemistry (IHC) to determine ACBD3 cellular and tissue localization.
Main Results:
- ACBD3 expression is significantly higher in breast cancer compared to other cancers and normal tissues.
- Overexpression of ACBD3 correlates with reduced survival rates across multiple metrics.
- IHC revealed variations in ACBD3 levels correlating with hormone receptor status.
Conclusions:
- ACBD3 is a potential biomarker for poor prognosis in breast cancer patients.
- ACBD3 may be involved in ER signaling reprogramming in precancerous breast tissue.
- Targeting ACBD3 could offer new therapeutic strategies for breast cancer.

