Analysis and validation of novel biomarkers related to palmitoylation in adenomyosis
In this study, we successfully identified diagnostic biomarkers for adenomyosis using comprehensive bioinformatics analysis and machine learning methods, and validated them with nomogram and ROC curves. Our findings provide new perspectives for understanding the pathogenesis of palmitoylation-related genes in adenomyosis and offer potential targets for the development of new therapeutic strategies.
Authors
- Hongwen Zhu (ORCID: https://orcid.org/0000-0002-2116-4245)
- Huijuan Cao (ORCID: https://orcid.org/0000-0001-9525-7332)
- Yue‐Chen Zhao (ORCID: https://orcid.org/0000-0002-7098-5322)
- Yufeng Li (ORCID: https://orcid.org/0000-0003-3906-8144)
- Hongyu Zhang (ORCID: https://orcid.org/0009-0004-4632-5174)
- Taotao Qin (ORCID: https://orcid.org/0000-0003-1403-6330)
Institutions
- Lanzhou University Second Hospital (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-08-04
- DOI
- https://doi.org/10.3389/fgene.2025.1614573
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Lanzhou University
- National Natural Science Foundation of China