Machine learning-based integration develops a disulfidptosis-related lncRNA signature for improving outcomes in gastric cancer
Gastric cancer remains one of the deadliest cancers globally due to delayed detection and limited treatment options, underscoring the critical need for innovative prognostic methods. Disulfidptosis, a recently discovered programmed cell death triggered by disulphide stress, presents a fresh avenue f...
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| Main Authors: | Tianze Zhang, Yuqing Chen, Zhiping Xiang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Artificial Cells, Nanomedicine, and Biotechnology |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21691401.2024.2440415 |
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