Recursive partitioning analysis model for de novo metastatic nasopharyngeal carcinoma treated with locoregional radiotherapy following chemoimmunotherapy
Our RPA-based prognostic model integrates number of metastatic lesions, liver metastasis status, and post-treatment Epstein-Barr virus DNA levels to predict PFS in dmNPC patients undergoing chemoimmunotherapy plus LRRT. This model offers personalized treatment guidance, suggesting that patients in the medium-risk group may benefit from LT for distant metastases, while those in high- and low-risk groups may not.
Authors
- Mao Luo (ORCID: https://orcid.org/0000-0002-9076-7875)
- Juan Jin (ORCID: https://orcid.org/0000-0003-2513-4665)
- Henry W. Long (ORCID: https://orcid.org/0000-0001-6849-6629)
- Jie‐Yi Lin (ORCID: https://orcid.org/0009-0007-7410-2308)
- Qi Chen (ORCID: https://orcid.org/0000-0001-6353-9589)
- Rong Li (ORCID: https://orcid.org/0000-0003-3971-1670)
- Li Xiong (ORCID: https://orcid.org/0000-0001-6545-2292)
- Yuanbo Liang (ORCID: https://orcid.org/0000-0001-9685-7356)
- Rong Liu (ORCID: https://orcid.org/0000-0001-7477-6520)
- Lili Gu (ORCID: https://orcid.org/0000-0003-2454-6756)
- Dan Wen (ORCID: https://orcid.org/0000-0003-4257-0733)
- Hai‐Qiang Mai
- Shuang Liu (ORCID: https://orcid.org/0009-0001-4284-7897)
- Songwei Guo
- Liang Tang (ORCID: https://orcid.org/0000-0003-0446-143X)
- Haibo Liu (ORCID: https://orcid.org/0000-0002-4213-2883)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- ESMO Open
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1016/j.esmoop.2024.103960
- Citations
- 4
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- National Natural Science Foundation of China
- Sun Yat-sen University
- National Key Research and Development Program of China
- Basic and Applied Basic Research Foundation of Guangdong Province