Integrative Analysis of BMI and Gene Expression Reveals Molecular Interactions Underlying Cancer Progression
Through evaluations on both simulated synthetic datasets and real-world datasets, we demonstrated the effectiveness of the proposed method in terms of predictive accuracy. Additionally, we identified BMI-associated genes and gene-gene interaction biomarkers across different cancer types and presented the corresponding network structures. Based on the key genes and gene interactions identified, we further explored how BMI influences cancer development and prognosis, providing deeper insights into the biological mechanisms underlying these associations.
Authors
- Jie-Huei Wang (ORCID: https://orcid.org/0000-0003-1596-8471)
- Tzu-Chi Chang
- Hui-Chen Lu (ORCID: https://orcid.org/0009-0009-5489-8032)
- Zih-Han Wu
Institutions
- National Chung Cheng University (TW)
- National University of Kaohsiung (TW)
- National Kaohsiung University of Applied Sciences (TW)
Publication Details
- Journal
- Frontiers in Bioscience-Landmark
- Published
- 2025-08-25
- DOI
- https://doi.org/10.31083/fbl43294
- Primary Topic
- Cancer Risks and Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science and Technology Council