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Updated: Sep 10, 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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A Hiplot-based web service for cold atmospheric plasma high-throughput data integration and analysis on breast cancer
Xiaofeng Dai1, Mingjie Wang2, Yang Liu1
1National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, Shaanxi Provincial Center for Regenerative Medicine and Surgical Engineering The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Jiaotong University Xi'an China.
Imeta
|August 27, 2025
Summary
Cold atmospheric plasma (CAP) shows promise for cancer treatment. This study provides the first multi-omics database (CAPmed-BC) to analyze CAP
Area of Science:
- Plasma Medicine
- Oncology
- Multi-omics Research
Background:
- Growing evidence suggests cold atmospheric plasma (CAP) selectively targets cancer cells.
- Advances in multi-omics sequencing necessitate deeper molecular understanding of CAP's anti-cancer mechanisms.
- A lack of comprehensive high-throughput data, databases, and analytical tools hinders CAP research in oncology.
Purpose of the Study:
- To explore the molecular mechanisms of CAP's efficacy against cancer cells.
- To develop a novel multi-omics database and analytical platform for CAP treatment response in breast cancer.
- To provide a resource for characterizing CAP's effects on cancer at the molecular and omics levels.
Main Methods:
- Whole transcriptome, proteome, phosphorylome, acetylome, and lactylome sequencing of breast cancer cells treated with CAP.
- Development of the CAP medicine in breast cancer (CAPmed-BC) module on the Hiplot platform (https://capbc.hiplot.com.cn).
- Utilized CAPmed-BC for differential biomarker analysis, pathway interpretation, and protein-protein interaction network analysis.
Main Results:
- Generated the first multi-omics dataset for analyzing CAP treatment response in breast cancer.
- CAPmed-BC enables comprehensive analysis of omics data, including dynamic fluctuations and metabolic vulnerabilities.
- Integrated a visualization module for personalized graph generation.
Conclusions:
- CAPmed-BC is a pioneering resource for understanding CAP's effects on breast cancer at the multi-omics level.
- This platform facilitates in-depth molecular characterization of CAP's anti-cancer mechanisms.
- The resource is expected to significantly contribute to advancements in plasma medicine and oncology.

