Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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
_version_ 1785148138809458688
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
work_keys_str_mv AT zhangrenjing comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT yangyang comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT huchunfang comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT huangmayan comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT cenwenjian comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT lingdongyi comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT longyakang comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT yangxinhua comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT xuboheng comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT pengjunling comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT wangsujie comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT zhuweijie comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT weimingbiao comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT yangjiaojiao comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT xuyuxia comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT zhangxu comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT majiangjun comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT wangfang comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT zhanghongtu comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT mapeiqing comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT zhuxiaojun comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT songguohui comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT sunliyue comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT wangdeshen comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT wangfenghua comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT liyuhong comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT santagatasandro comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT liqin comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT fengyanfen comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors
AT duziming comprehensiveanalysisrevealspotentialtherapeutictargetsandanintegratedriskstratificationmodelforsolitaryfibroustumors