Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways
Abstract Advances in cancer genomics have significantly expanded our understanding of cancer biology. However, the high cost of drug development limits our ability to translate this knowledge into precise treatments. Approved non-oncology drugs, comprising a large repository of chemical entities, of...
Saved in:
| Main Authors: | Xiaobao Dong, Huanhuan Liu, Ting Tong, Liuxing Wu, Jianhua Wang, Tianyi You, Yongjian Wei, Xianfu Yi, Hongxi Yang, Jie Hu, Haitao Wang, Xiaoyan Wang, Mulin Jun Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-00813-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A highly annotated drug combination resource for catalyzing precision combinatorial therapy
by: Tianyi You, et al.
Published: (2025-07-01) -
Efficacy of Off-Label Use of Anticancer Drugs in Oncology
by: E. V. Karabina, et al.
Published: (2023-07-01) -
Safety of Off-Label Use of Anticancer Drugs in Oncology
by: E. V. Karabina, et al.
Published: (2024-04-01) -
From Genomic Exploration to Personalized Treatment: Next-Generation Sequencing in Oncology
by: Vishakha Vashisht, et al.
Published: (2024-11-01) -
Unveiling the anticancer potential of SGLT-2 inhibitors: mechanisms and prospects in clinical oncology—a narrative review
by: Jiaxin Li, et al.
Published: (2025-06-01)