The Comprehensive Analysis of Weighted Gene Co-Expression Network Analysis and Machine Learning Revealed Diagnostic Biomarkers for Breast Implant Illness Complicated with Breast Cancer
We pinpointed shared three central genes include KRT14, KIT, ALB and molecular pathways common to BII and BC. Shedding light on the complex mechanisms underlying these conditions and suggesting potential targets for diagnostic and therapeutic strategies.
Authors
- Zhenfeng Huang (ORCID: https://orcid.org/0000-0002-9724-6706)
- Mengyao Zeng (ORCID: https://orcid.org/0000-0002-7377-4707)
- Hui Pang (ORCID: https://orcid.org/0000-0002-2806-2276)
- Guoqiang Zhang (ORCID: https://orcid.org/0000-0003-0771-7533)
- Feng Liu (ORCID: https://orcid.org/0000-0002-1074-2601)
- Huibo Wang (ORCID: https://orcid.org/0000-0002-5039-7224)
Institutions
- Qingdao University (CN)
- Harbin Medical University (CN)
- Government of Jiangsu Province (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Breast Cancer Targets and Therapy
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/bctt.s507754
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48