• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于癌症干细胞相关基因的骨肉瘤分子亚型可定义免疫细胞浸润和患者生存情况。

Molecular subtypes of osteosarcoma classified by cancer stem cell related genes define immunological cell infiltration and patient survival.

机构信息

Musculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.

Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China.

出版信息

Front Immunol. 2022 Aug 19;13:986785. doi: 10.3389/fimmu.2022.986785. eCollection 2022.

DOI:10.3389/fimmu.2022.986785
PMID:36059448
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9437352/
Abstract

UNLABELLED

Recent studies have shown that tumor stemness has biological significance in tumorigenicity and tumor progression. However, the characteristics of TME immune infiltration in osteosarcoma mediated by the combined effects of multiple cancer stem cell-related genes remain unknown.

METHODS

In this study, we identified different cancer stem cell-associated subtypes in osteosarcoma based on 25 cancer stem cell-associated genes by consensus clustering analysis, and we comprehensively evaluated the association between these subtypes and immunocytes infiltration in the TME. The cancer stem cell (CSC) score was constructed to quantify the stemness of individual tumors.

RESULTS

We performed a comprehensive evaluation of 218 osteosarcoma patients based on 25 cancer stem cell-related genes. Three different cancer stem cells related subtypes were identified, which were related to different biological processes and clinical outcomes. The three subtypes have different TME cells infiltrating characteristics, and CSC Cluster A had a higher level of immunocyte infiltration compared to CSC Cluster B and C. We constructed a scoring system, called the CSC score, to assess the stemness of individual patients. Then we found that the prognosis of patients was predicted by CSC score, and patients with low CSC score had prolonged survival. Further analyses showed that low CSC score was correlated with enhanced immune infiltration. CSC score may predict the effect of immunotherapy, and patients with low CSC score may have better immune response and clinical prognosis.

CONCLUSIONS

This study demonstrates that there could be three cancer stem cell-associated subtypes in osteosarcoma and that they were associated with different patient prognosis and TME immune infiltration characteristics. CSC score could be used to assess the stemness of individual patients, improve our comprehension of TME characteristics, and direct more effective immune therapy.

摘要

未加标签

最近的研究表明,肿瘤干性在肿瘤发生和肿瘤进展中具有生物学意义。然而,由多个癌症干细胞相关基因的共同作用介导的骨肉瘤中肿瘤微环境免疫浸润的特征尚不清楚。

方法

在这项研究中,我们通过共识聚类分析,基于 25 个癌症干细胞相关基因确定了骨肉瘤中不同的癌症干细胞相关亚型,并全面评估了这些亚型与肿瘤微环境中免疫细胞浸润的相关性。构建了癌症干细胞(CSC)评分来量化个体肿瘤的干性。

结果

我们对 218 名骨肉瘤患者进行了基于 25 个癌症干细胞相关基因的综合评估。鉴定了三种不同的癌症干细胞相关亚型,它们与不同的生物学过程和临床结局相关。这三种亚型具有不同的 TME 细胞浸润特征,CSC 簇 A 比 CSC 簇 B 和 C 具有更高水平的免疫细胞浸润。我们构建了一个评分系统,称为 CSC 评分,用于评估个体患者的干性。然后我们发现 CSC 评分可以预测患者的预后,低 CSC 评分的患者生存时间延长。进一步的分析表明,低 CSC 评分与增强的免疫浸润相关。CSC 评分可能预测免疫治疗的效果,低 CSC 评分的患者可能具有更好的免疫反应和临床预后。

结论

本研究表明,骨肉瘤中可能存在三种癌症干细胞相关亚型,它们与不同的患者预后和 TME 免疫浸润特征相关。CSC 评分可用于评估个体患者的干性,提高我们对 TME 特征的理解,并指导更有效的免疫治疗。

相似文献

1
Molecular subtypes of osteosarcoma classified by cancer stem cell related genes define immunological cell infiltration and patient survival.基于癌症干细胞相关基因的骨肉瘤分子亚型可定义免疫细胞浸润和患者生存情况。
Front Immunol. 2022 Aug 19;13:986785. doi: 10.3389/fimmu.2022.986785. eCollection 2022.
2
Identification of Hypoxia-Related Subtypes, Establishment of Prognostic Models, and Characteristics of Tumor Microenvironment Infiltration in Colon Cancer.结肠癌中缺氧相关亚型的鉴定、预后模型的建立及肿瘤微环境浸润特征
Front Genet. 2022 Jun 17;13:919389. doi: 10.3389/fgene.2022.919389. eCollection 2022.
3
Tumor stemness score to estimate epithelial-to-mesenchymal transition (EMT) and cancer stem cells (CSCs) characterization and to predict the prognosis and immunotherapy response in bladder urothelial carcinoma.肿瘤干性评分用于评估上皮间质转化(EMT)和癌症干细胞(CSCs)特征,并预测膀胱癌的预后和免疫治疗反应。
Stem Cell Res Ther. 2023 Feb 1;14(1):15. doi: 10.1186/s13287-023-03239-1.
4
Characterization of stem cell landscape and identification of stemness-relevant prognostic gene signature to aid immunotherapy in colorectal cancer.鉴定结直肠癌细胞干性相关的预后基因特征,以辅助免疫治疗。
Stem Cell Res Ther. 2022 Jun 9;13(1):244. doi: 10.1186/s13287-022-02913-0.
5
Comprehensive analysis of prognostic tumor microenvironment-related genes in osteosarcoma patients.骨肉瘤患者预后肿瘤微环境相关基因的综合分析。
BMC Cancer. 2020 Aug 27;20(1):814. doi: 10.1186/s12885-020-07216-2.
6
A comprehensive analysis of immune infiltration in the tumor microenvironment of osteosarcoma.骨肉瘤肿瘤微环境中免疫浸润的综合分析。
Cancer Med. 2021 Aug;10(16):5696-5711. doi: 10.1002/cam4.4117. Epub 2021 Jul 13.
7
Osteosarcoma subtypes based on platelet-related genes and tumor microenvironment characteristics.基于血小板相关基因和肿瘤微环境特征的骨肉瘤亚型
Front Oncol. 2022 Sep 23;12:941724. doi: 10.3389/fonc.2022.941724. eCollection 2022.
8
A tumor microenvironment-based prognostic index for osteosarcoma.基于肿瘤微环境的骨肉瘤预后指标。
J Biomed Sci. 2023 Apr 13;30(1):23. doi: 10.1186/s12929-023-00917-3.
9
Autophagy-related gene expression classification defines three molecular subtypes with distinct clinical and microenvironment cell infiltration characteristics in colon cancer.自噬相关基因表达分类定义了三种分子亚型,它们在结肠癌中具有不同的临床和微环境细胞浸润特征。
Int Immunopharmacol. 2020 Oct;87:106757. doi: 10.1016/j.intimp.2020.106757. Epub 2020 Aug 6.
10
Molecular subtypes based on ferroptosis-related genes and tumor microenvironment infiltration characterization in lung adenocarcinoma.基于铁死亡相关基因和肿瘤微环境浸润特征的肺腺癌分子亚型。
Oncoimmunology. 2021 Sep 11;10(1):1959977. doi: 10.1080/2162402X.2021.1959977. eCollection 2021.

引用本文的文献

1
MEF2C is a potential prognostic biomarker for osteosarcoma.MEF2C是骨肉瘤的一种潜在预后生物标志物。
Medicine (Baltimore). 2025 Sep 5;104(36):e44313. doi: 10.1097/MD.0000000000044313.
2
Exploratory Analysis of Molecular Subtypes in Early-Stage Osteosarcoma: Identifying Resistance and Optimizing Therapy.早期骨肉瘤分子亚型的探索性分析:识别耐药性与优化治疗
Cancers (Basel). 2025 May 16;17(10):1677. doi: 10.3390/cancers17101677.
3
Prioritizing Context-Dependent Cancer Gene Signatures in Networks.在网络中对上下文相关的癌症基因特征进行优先级排序。

本文引用的文献

1
New Horizons in the Treatment of Osteosarcoma.骨肉瘤治疗的新视野
N Engl J Med. 2021 Nov 25;385(22):2066-2076. doi: 10.1056/NEJMra2103423.
2
Advancing therapy for osteosarcoma.骨肉瘤的前沿治疗
Nat Rev Clin Oncol. 2021 Oct;18(10):609-624. doi: 10.1038/s41571-021-00519-8. Epub 2021 Jun 15.
3
Cancer Stem Cell Marker CD44 Plays Multiple Key Roles in Human Cancers: Immune Suppression/Evasion, Drug Resistance, Epithelial-Mesenchymal Transition, and Metastasis.癌症干细胞标志物CD44在人类癌症中发挥多种关键作用:免疫抑制/逃避、耐药性、上皮-间质转化和转移。
Cancers (Basel). 2025 Jan 3;17(1):136. doi: 10.3390/cancers17010136.
4
Pediatric Solid Cancers: Dissecting the Tumor Microenvironment to Improve the Results of Clinical Immunotherapy.儿科实体瘤:剖析肿瘤微环境以改善临床免疫治疗效果。
Int J Mol Sci. 2024 Mar 12;25(6):3225. doi: 10.3390/ijms25063225.
5
Chemoresistance-Related Stem Cell Signaling in Osteosarcoma and Its Plausible Contribution to Poor Therapeutic Response: A Discussion That Still Matters.骨肉瘤中与化疗耐药相关的干细胞信号及其对治疗反应不良的可能贡献:一个仍有意义的讨论。
Int J Mol Sci. 2022 Sep 27;23(19):11416. doi: 10.3390/ijms231911416.
OMICS. 2021 May;25(5):313-332. doi: 10.1089/omi.2021.0025.
4
Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients.机器学习揭示了干性特征和一种新颖的干性基础分类,对于区分 906 名胶质母细胞瘤患者的预后、免疫治疗和替莫唑胺反应具有吸引力的影响。
Brief Bioinform. 2021 Sep 2;22(5). doi: 10.1093/bib/bbab032.
5
Cancer Stem Cell Markers in Relation to Patient Survival Outcomes: Lessons for Integrative Diagnostics and Next-Generation Anticancer Drug Development.癌症干细胞标志物与患者生存结局的关系:对综合诊断和下一代抗癌药物开发的启示。
OMICS. 2021 Feb;25(2):81-92. doi: 10.1089/omi.2020.0185. Epub 2020 Nov 10.
6
Cancer Stem Cells-Origins and Biomarkers: Perspectives for Targeted Personalized Therapies.癌症干细胞的起源和生物标志物:靶向个体化治疗的新视角。
Front Immunol. 2020 Aug 7;11:1280. doi: 10.3389/fimmu.2020.01280. eCollection 2020.
7
Advances in Therapeutic Targeting of Cancer Stem Cells within the Tumor Microenvironment: An Updated Review.肿瘤微环境中癌症干细胞治疗靶点的研究进展:最新综述
Cells. 2020 Aug 13;9(8):1896. doi: 10.3390/cells9081896.
8
Cancer Cell CD44 Mediates Macrophage/Monocyte-Driven Regulation of Head and Neck Cancer Stem Cells.肿瘤细胞 CD44 介导巨噬细胞/单核细胞对头颈部癌症干细胞的调控作用。
Cancer Res. 2020 Oct 1;80(19):4185-4198. doi: 10.1158/0008-5472.CAN-20-1079. Epub 2020 Aug 14.
9
Dual Role of WISP1 in maintaining glioma stem cells and tumor-supportive macrophages in glioblastoma.WISP1 在维持胶质母细胞瘤中的神经胶质瘤干细胞和肿瘤支持性巨噬细胞中的双重作用。
Nat Commun. 2020 Jun 15;11(1):3015. doi: 10.1038/s41467-020-16827-z.
10
Targeting cancer stem cell pathways for cancer therapy.针对癌症干细胞通路的癌症治疗。
Signal Transduct Target Ther. 2020 Feb 7;5(1):8. doi: 10.1038/s41392-020-0110-5.