Machine learning explores the prognostic and immuno-oncological impact of mitochondrial unfolded protein response in CESC
Abstract Background Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) pose significant global health challenges. While the mitochondrial unfolded protein response (UPRmt) is known to influence cancer biology, its specific role in CESC remains unclear. Methods We employed machin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-02723-9 |
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