Integrating Radiosensitivity Index and Radiation Resistance Related Index Improves Prostate Cancer Outcome Prediction
This study successfully established a radiosensitivity-related nomogram, which had excellent performance in predicting recurrence in patients with PCa. For patients who received radiation therapy, the 20Genes and RRRI models can be used to predict recurrence-free survival, whereas 20Genes is more radiation therapy-specific but needs further external validation.
Authors
- Bufu Tang (ORCID: https://orcid.org/0000-0003-3525-4433)
- Jing Sun (ORCID: https://orcid.org/0000-0002-4646-1174)
- Chao Fan (ORCID: https://orcid.org/0000-0002-6197-6758)
- Dongjun Lin (ORCID: https://orcid.org/0000-0002-3201-5544)
- Shisuo Du (ORCID: https://orcid.org/0009-0007-5295-3064)
- Qi-Qiao Wu (ORCID: https://orcid.org/0000-0002-5350-5040)
- Junrong Jiang (ORCID: https://orcid.org/0000-0001-9693-8906)
- Tao Jiang (ORCID: https://orcid.org/0000-0003-1908-2926)
- Zhao‐Chong Zeng (ORCID: https://orcid.org/0000-0003-4330-3688)
- Rongqin Zheng (ORCID: https://orcid.org/0000-0002-7129-8436)
- Y. Lin (ORCID: https://orcid.org/0000-0002-3341-8396)
- Yi Zhang (ORCID: https://orcid.org/0000-0003-2933-1818)
- Xinyue Wang (ORCID: https://orcid.org/0000-0001-6990-783X)
- Peng Lai (ORCID: https://orcid.org/0000-0002-7669-8797)
- Zhao‐Sheng Yin
- Ping Yang (ORCID: https://orcid.org/0009-0003-3987-7467)
Institutions
- Huawei Technologies (China) (CN)
- Fudan University (CN)
- Precision for Medicine (United States) (US)
- The 180th Hospital of PLA (CN)
- Zhongshan Hospital of Xiamen University (CN)
- Zhongshan Hospital (CN)
- Xiamen Medical College
Publication Details
- Journal
- Advances in Radiation Oncology
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1016/j.adro.2025.101713
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Xiamen City
- National Natural Science Foundation of China