Nature Communications (Nov 2023)
Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors
- Renjing Zhang,
- Yang Yang,
- Chunfang Hu,
- Mayan Huang,
- Wenjian Cen,
- Dongyi Ling,
- Yakang Long,
- Xin-Hua Yang,
- Boheng Xu,
- Junling Peng,
- Sujie Wang,
- Weijie Zhu,
- Mingbiao Wei,
- Jiaojiao Yang,
- Yuxia Xu,
- Xu Zhang,
- Jiangjun Ma,
- Fang Wang,
- Hongtu Zhang,
- Peiqing Ma,
- Xiaojun Zhu,
- Guohui Song,
- Li-Yue Sun,
- De-Shen Wang,
- Feng-Hua Wang,
- Yu-Hong Li,
- Sandro Santagata,
- Qin Li,
- Yan-Fen Feng,
- Ziming Du
Affiliations
- Renjing Zhang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Yang Yang
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University
- Chunfang Hu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
- Mayan Huang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Wenjian Cen
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Dongyi Ling
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Yakang Long
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Xin-Hua Yang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Boheng Xu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Junling Peng
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Sujie Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Weijie Zhu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Mingbiao Wei
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Jiaojiao Yang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Yuxia Xu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Xu Zhang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Jiangjun Ma
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Fang Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Hongtu Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
- Peiqing Ma
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
- Xiaojun Zhu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Guohui Song
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Li-Yue Sun
- Second Department of Oncology, Guangdong Second Provincial General Hospital
- De-Shen Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Feng-Hua Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Yu-Hong Li
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Sandro Santagata
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School
- Qin Li
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
- Yan-Fen Feng
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- Ziming Du
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center
- DOI
- https://doi.org/10.1038/s41467-023-43249-4
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 15
Abstract
Abstract Solitary fibrous tumors (SFTs) are rare mesenchymal tumors with unpredictable evolution and with a recurrence or metastasis rate of 10-40%. Current medical treatments for relapsed SFTs remain ineffective. Here, we identify potential therapeutic targets and risk factors, including IDH1 p.R132S, high PD-L1 expression, and predominant macrophage infiltration, suggesting the potential benefits of combinational immune therapy and targeted therapy for SFTs. An integrated risk model incorporating mitotic count, density of Ki-67+ cells and CD163+ cells, MTOR mutation is developed, applying a discovery cohort of 101 primary non-CNS patients with negative tumor margins (NTM) and validated in three independent cohorts of 210 SFTs with the same criteria, and in 36 primary CNS SFTs with NTM. Compared with the existing models, our model shows significantly improved efficacy in identifying high-risk primary non-CNS and CNS SFTs with NTM for tumor progression.Our findings hold promise for advancing therapeutic strategies and refining risk prediction in SFTs.