Pan‐cancer analysis shapes the understanding of cancer biology and medicine
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 strategi...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Cancer Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/cac2.70008 |
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| _version_ | 1849243634583470080 |
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| author | Xiaoping Cen Yuanyuan Lan Jiansheng Zou Ruilin Chen Can Hu Yahan Tong Chen Zhang Jingyue Chen Yuanmei Wang Run Zhou Weiwei He Tianyu Lu Fred Dubee Dragomirka Jovic Wei Dong Qingqing Gao Man Ma Youyong Lu Yu Xue Xiangdong Cheng Yixue Li Huanming Yang |
| author_facet | Xiaoping Cen Yuanyuan Lan Jiansheng Zou Ruilin Chen Can Hu Yahan Tong Chen Zhang Jingyue Chen Yuanmei Wang Run Zhou Weiwei He Tianyu Lu Fred Dubee Dragomirka Jovic Wei Dong Qingqing Gao Man Ma Youyong Lu Yu Xue Xiangdong Cheng Yixue Li Huanming Yang |
| author_sort | Xiaoping Cen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ef8b1ffd8954468fbc99a6b88e8cc3f6 |
| institution | Kabale University |
| issn | 2523-3548 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Communications |
| spelling | doaj-art-ef8b1ffd8954468fbc99a6b88e8cc3f62025-08-20T03:59:25ZengWileyCancer Communications2523-35482025-07-0145772874610.1002/cac2.70008Pan‐cancer analysis shapes the understanding of cancer biology and medicineXiaoping Cen0Yuanyuan Lan1Jiansheng Zou2Ruilin Chen3Can Hu4Yahan Tong5Chen Zhang6Jingyue Chen7Yuanmei Wang8Run Zhou9Weiwei He10Tianyu Lu11Fred Dubee12Dragomirka Jovic13Wei Dong14Qingqing Gao15Man Ma16Youyong Lu17Yu Xue18Xiangdong Cheng19Yixue Li20Huanming Yang21College of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaHIM‐BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS) Hangzhou Zhejiang P. R. ChinaHIM‐BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS) Hangzhou Zhejiang P. R. ChinaZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences Hangzhou Zhejiang P. R. ChinaZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences Hangzhou Zhejiang P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaHIM‐BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS) Hangzhou Zhejiang P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaBGI Research Shenzhen Guangdong P. R. ChinaBGI Research Shenzhen Guangdong P. R. ChinaHIM‐BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS) Hangzhou Zhejiang P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaHIM‐BGI Omics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS) Hangzhou Zhejiang P. R. ChinaLaboratory of Molecular Oncology, Peking University Cancer Hospital and Institute Beijing P. R. ChinaMOE Key Laboratory of Molecular Biophysics, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology Wuhan Hubei P. R. ChinaZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences Hangzhou Zhejiang P. R. ChinaGuangzhou National Laboratory Guangzhou Guangdong P. R. ChinaCollege of Life Sciences, University of Chinese Academy of Sciences Beijing P. R. ChinaAbstract 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.https://doi.org/10.1002/cac2.70008artificial intelligencecancer biologycancer treatmentmulti‐omicspan‐cancer |
| spellingShingle | Xiaoping Cen Yuanyuan Lan Jiansheng Zou Ruilin Chen Can Hu Yahan Tong Chen Zhang Jingyue Chen Yuanmei Wang Run Zhou Weiwei He Tianyu Lu Fred Dubee Dragomirka Jovic Wei Dong Qingqing Gao Man Ma Youyong Lu Yu Xue Xiangdong Cheng Yixue Li Huanming Yang Pan‐cancer analysis shapes the understanding of cancer biology and medicine Cancer Communications artificial intelligence cancer biology cancer treatment multi‐omics pan‐cancer |
| title | Pan‐cancer analysis shapes the understanding of cancer biology and medicine |
| title_full | Pan‐cancer analysis shapes the understanding of cancer biology and medicine |
| title_fullStr | Pan‐cancer analysis shapes the understanding of cancer biology and medicine |
| title_full_unstemmed | Pan‐cancer analysis shapes the understanding of cancer biology and medicine |
| title_short | Pan‐cancer analysis shapes the understanding of cancer biology and medicine |
| title_sort | pan cancer analysis shapes the understanding of cancer biology and medicine |
| topic | artificial intelligence cancer biology cancer treatment multi‐omics pan‐cancer |
| url | https://doi.org/10.1002/cac2.70008 |
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