A novel method for endometrial cancer patient stratification considering ARID1A protein expression and activity with effective use of multi-omics data
AT-rich interactive domain-containing protein 1A (ARID1A) is frequently mutated in endometrial cancers. Although patient stratification based on mutations or mRNA expression is commonly performed, this approach may not accurately reflect the functional state of ARID1A. This functional state is not o...
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| Main Authors: | Junsoo Song, Ayako Ui, Kenji Mizuguchi, Reiko Watanabe |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Computational and Structural Biotechnology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037025002296 |
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