Abstract
Advances in multi-omics datasets and analytical methods have revolutionized cancer research, offering a comprehensive, pan-cancer perspective. Pan-cancer studies identify shared mechanisms and unique traits across different cancer types, which are reshaping diagnostic and treatment strategies. However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. This review summarized key findings from pan-cancer research and explored their potential to drive future advancements in oncology.
| Original language | English |
|---|---|
| Pages (from-to) | 728-746 |
| Number of pages | 19 |
| Journal | Cancer Communications |
| Volume | 45 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- artificial intelligence
- cancer biology
- cancer treatment
- multi-omics
- pan-cancer
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