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Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657378/ https://www.ncbi.nlm.nih.gov/pubmed/37980418 http://dx.doi.org/10.1038/s41467-023-43249-4 |
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author | Zhang, Renjing Yang, Yang Hu, Chunfang Huang, Mayan Cen, Wenjian Ling, Dongyi Long, Yakang Yang, Xin-Hua Xu, Boheng Peng, Junling Wang, Sujie Zhu, Weijie Wei, Mingbiao Yang, Jiaojiao Xu, Yuxia Zhang, Xu Ma, Jiangjun Wang, Fang Zhang, Hongtu Ma, Peiqing Zhu, Xiaojun Song, Guohui Sun, Li-Yue Wang, De-Shen Wang, Feng-Hua Li, Yu-Hong Santagata, Sandro Li, Qin Feng, Yan-Fen Du, Ziming |
author_facet | Zhang, Renjing Yang, Yang Hu, Chunfang Huang, Mayan Cen, Wenjian Ling, Dongyi Long, Yakang Yang, Xin-Hua Xu, Boheng Peng, Junling Wang, Sujie Zhu, Weijie Wei, Mingbiao Yang, Jiaojiao Xu, Yuxia Zhang, Xu Ma, Jiangjun Wang, Fang Zhang, Hongtu Ma, Peiqing Zhu, Xiaojun Song, Guohui Sun, Li-Yue Wang, De-Shen Wang, Feng-Hua Li, Yu-Hong Santagata, Sandro Li, Qin Feng, Yan-Fen Du, Ziming |
author_sort | Zhang, Renjing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10657378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106573782023-11-18 Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors Zhang, Renjing Yang, Yang Hu, Chunfang Huang, Mayan Cen, Wenjian Ling, Dongyi Long, Yakang Yang, Xin-Hua Xu, Boheng Peng, Junling Wang, Sujie Zhu, Weijie Wei, Mingbiao Yang, Jiaojiao Xu, Yuxia Zhang, Xu Ma, Jiangjun Wang, Fang Zhang, Hongtu Ma, Peiqing Zhu, Xiaojun Song, Guohui Sun, Li-Yue Wang, De-Shen Wang, Feng-Hua Li, Yu-Hong Santagata, Sandro Li, Qin Feng, Yan-Fen Du, Ziming Nat Commun Article 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. Nature Publishing Group UK 2023-11-18 /pmc/articles/PMC10657378/ /pubmed/37980418 http://dx.doi.org/10.1038/s41467-023-43249-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Renjing Yang, Yang Hu, Chunfang Huang, Mayan Cen, Wenjian Ling, Dongyi Long, Yakang Yang, Xin-Hua Xu, Boheng Peng, Junling Wang, Sujie Zhu, Weijie Wei, Mingbiao Yang, Jiaojiao Xu, Yuxia Zhang, Xu Ma, Jiangjun Wang, Fang Zhang, Hongtu Ma, Peiqing Zhu, Xiaojun Song, Guohui Sun, Li-Yue Wang, De-Shen Wang, Feng-Hua Li, Yu-Hong Santagata, Sandro Li, Qin Feng, Yan-Fen Du, Ziming Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors |
title | Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors |
title_full | Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors |
title_fullStr | Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors |
title_full_unstemmed | Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors |
title_short | Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors |
title_sort | comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657378/ https://www.ncbi.nlm.nih.gov/pubmed/37980418 http://dx.doi.org/10.1038/s41467-023-43249-4 |
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