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Updated: May 10, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Mapping Knowledge Landscapes and Themes Trends of Breast Cancer Stem Cells: A Comprehensive Data-Mining-Based Study
Kunming Cheng1, Hui Di2, Chunchun Wu3
1Department of Intensive Care Unit, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
This bibliometric analysis reveals a growing global research interest in breast cancer stem cells (BCSCs). Key areas include biomarkers, signaling pathways, and therapeutic resistance, with emerging trends in ferroptosis and the tumor microenvironment.
Area of Science:
- Oncology
- Biomedical Research
- Bibliometrics
Background:
- Breast cancer stem cells (BCSCs) present significant challenges in treatment, contributing to resistance, recurrence, and metastasis.
- Targeting BCSCs is a critical therapeutic strategy, yet the research landscape remains underexplored.
- No bibliometric analysis has comprehensively mapped the field of BCSC research.
Purpose of the Study:
- To conduct the first bibliometric analysis of breast cancer stem cell (BCSC) research.
- To map the global research output, identify key contributors, and analyze research trends and hotspots.
- To provide insights for future research directions and policy-making in BCSC studies.
Main Methods:
- Bibliometric analysis of 1771 BCSC-related publications from 1998-2023.
- Data extracted from the Web of Science Core Collection.
- Analysis performed using VOSviewer, CiteSpace, and two online platforms.
Main Results:
- A significant increase in BCSC publications, with an 18.4% annual growth rate.
- China and the USA are leading contributors, with the University of Michigan System being the most prolific institution.
- Current research focuses on stemness, biomarkers, signaling pathways, therapeutic targeting, resistance, and microenvironment.
- Emerging research areas include ferroptosis, GLI1, molecular docking, tumor microenvironment, and triple-negative breast cancer.
- Key genes identified include TGFB1, STAT3, MYC, GAPDH, and INS.
Conclusions:
- This study provides the first comprehensive bibliometric overview of BCSC research.
- Identifies current research frontiers and emerging trends in the field.
- Serves as a valuable reference for researchers and policymakers to guide future BCSC research efforts.
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