• 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

癌症代谢异质性的机制与意义。

Mechanisms and Implications of Metabolic Heterogeneity in Cancer.

机构信息

Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, USA.

Howard Hughes Medical Institute and Children's Medical Center Research Institute, UT Southwestern Medical Center, Dallas, TX, USA.

出版信息

Cell Metab. 2019 Sep 3;30(3):434-446. doi: 10.1016/j.cmet.2019.08.013.

DOI:10.1016/j.cmet.2019.08.013
PMID:31484055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6730674/
Abstract

Tumors display reprogrammed metabolic activities that promote cancer progression. We currently possess a limited understanding of the processes governing tumor metabolism in vivo and of the most efficient approaches to identify metabolic vulnerabilities susceptible to therapeutic targeting. While much of the literature focuses on stereotyped, cell-autonomous pathways like glycolysis, recent work emphasizes heterogeneity and flexibility of metabolism between tumors and even within distinct regions of solid tumors. Metabolic heterogeneity is important because it influences therapeutic vulnerabilities and may predict clinical outcomes. This Review describes current concepts about metabolic regulation in tumors, focusing on processes intrinsic to cancer cells and on factors imposed upon cancer cells by the tumor microenvironment. We discuss experimental approaches to identify subtype-selective metabolic vulnerabilities in preclinical cancer models. Finally, we describe efforts to characterize metabolism in primary human tumors, which should produce new insights into metabolic heterogeneity in the context of clinically relevant microenvironments.

摘要

肿瘤表现出重新编程的代谢活性,促进癌症进展。我们目前对体内控制肿瘤代谢的过程以及识别易受治疗靶向的代谢脆弱性的最有效方法了解有限。虽然文献中的大部分内容都集中在典型的、细胞自主的途径上,如糖酵解,但最近的工作强调了代谢在肿瘤之间甚至在实体瘤的不同区域之间的异质性和灵活性。代谢异质性很重要,因为它会影响治疗的脆弱性,并可能预测临床结果。这篇综述描述了目前关于肿瘤代谢调控的概念,重点介绍了内在的癌症细胞过程和肿瘤微环境施加给癌症细胞的因素。我们讨论了用于在临床前癌症模型中识别亚型选择性代谢脆弱性的实验方法。最后,我们描述了对原发性人类肿瘤代谢进行特征描述的努力,这应该会深入了解临床相关微环境中代谢异质性的新见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/60a0ce227972/nihms-1537742-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/6a17474c93b3/nihms-1537742-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/5800da8f7a5f/nihms-1537742-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/b20ef5b6a3df/nihms-1537742-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/60a0ce227972/nihms-1537742-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/6a17474c93b3/nihms-1537742-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/5800da8f7a5f/nihms-1537742-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/b20ef5b6a3df/nihms-1537742-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8031/6730674/60a0ce227972/nihms-1537742-f0004.jpg

相似文献

1
Mechanisms and Implications of Metabolic Heterogeneity in Cancer.癌症代谢异质性的机制与意义。
Cell Metab. 2019 Sep 3;30(3):434-446. doi: 10.1016/j.cmet.2019.08.013.
2
Perspectives of Reprogramming Breast Cancer Metabolism.重新编程乳腺癌代谢的观点。
Adv Exp Med Biol. 2017;1026:217-232. doi: 10.1007/978-981-10-6020-5_10.
3
Drug discovery strategies in the field of tumor energy metabolism: Limitations by metabolic flexibility and metabolic resistance to chemotherapy.肿瘤能量代谢领域的药物发现策略:代谢灵活性和代谢抵抗化疗的局限性。
Biochim Biophys Acta Bioenerg. 2017 Aug;1858(8):674-685. doi: 10.1016/j.bbabio.2017.02.005. Epub 2017 Feb 16.
4
Dysfunctional T cell metabolism in the tumor microenvironment.肿瘤微环境中功能失调的T细胞代谢。
Cytokine Growth Factor Rev. 2017 Jun;35:7-14. doi: 10.1016/j.cytogfr.2017.04.003. Epub 2017 Apr 23.
5
Oncogenic regulation of tumor metabolic reprogramming.肿瘤代谢重编程的致癌调控
Oncotarget. 2016 Sep 20;7(38):62726-62753. doi: 10.18632/oncotarget.10911.
6
Connections Between Metabolism and Epigenetics in Programming Cellular Differentiation.代谢与表观遗传学在细胞分化编程中的联系。
Annu Rev Immunol. 2018 Apr 26;36:221-246. doi: 10.1146/annurev-immunol-042617-053127. Epub 2018 Jan 12.
7
Heterogeneity in Cancer Metabolism: New Concepts in an Old Field.癌症代谢的异质性:旧领域中的新概念。
Antioxid Redox Signal. 2017 Mar 20;26(9):462-485. doi: 10.1089/ars.2016.6750. Epub 2016 Jul 13.
8
Metabolic landscape of the tumor microenvironment at single cell resolution.肿瘤微环境的代谢全景图,单细胞分辨率。
Nat Commun. 2019 Aug 21;10(1):3763. doi: 10.1038/s41467-019-11738-0.
9
Interweaving Tumor Heterogeneity into the Cancer Epigenetic/Metabolic Axis.将肿瘤异质性纳入癌症表观遗传/代谢轴。
Antioxid Redox Signal. 2020 Nov 1;33(13):946-965. doi: 10.1089/ars.2019.7942. Epub 2019 Dec 16.
10
Molecular Connections between Cancer Cell Metabolism and the Tumor Microenvironment.癌细胞代谢与肿瘤微环境之间的分子联系
Int J Mol Sci. 2015 May 15;16(5):11055-86. doi: 10.3390/ijms160511055.

引用本文的文献

1
Metabolic Plasticity and Cancer Stem Cell Metabolism: Exploring the Glycolysis-OXPHOS Switch as a Mechanism for Resistance and Tumorigenesis.代谢可塑性与癌症干细胞代谢:探索糖酵解-氧化磷酸化转换作为耐药性和肿瘤发生机制
Stem Cell Rev Rep. 2025 Aug 29. doi: 10.1007/s12015-025-10956-y.
2
Metabolic Reprogramming Shapes the Progression and Therapeutic Landscape of Ovarian Cancer.代谢重编程塑造卵巢癌的进展和治疗格局。
Cancer Manag Res. 2025 Aug 19;17:1707-1722. doi: 10.2147/CMAR.S538281. eCollection 2025.
3
Identification of glycolysis-related molecular subtypes and prognostic model in intrahepatic cholangiocarcinoma.

本文引用的文献

1
The landscape of cancer cell line metabolism.癌细胞系代谢的全景。
Nat Med. 2019 May;25(5):850-860. doi: 10.1038/s41591-019-0404-8. Epub 2019 May 8.
2
Quantification of microenvironmental metabolites in murine cancers reveals determinants of tumor nutrient availability.定量分析小鼠癌症中的微环境代谢物,揭示肿瘤营养供应的决定因素。
Elife. 2019 Apr 16;8:e44235. doi: 10.7554/eLife.44235.
3
Autophagy Regulation of Metabolism Is Required for CD8 T Cell Anti-tumor Immunity.自噬调控代谢对于 CD8 T 细胞抗肿瘤免疫至关重要。
肝内胆管癌中糖酵解相关分子亚型的鉴定及预后模型
Discov Oncol. 2025 Aug 18;16(1):1577. doi: 10.1007/s12672-025-03314-4.
4
Mitochondrial metabolic reprogramming in colorectal cancer: mechanisms of resistance and future clinical interventions.结直肠癌中的线粒体代谢重编程:耐药机制与未来临床干预措施
Cell Death Discov. 2025 Aug 9;11(1):375. doi: 10.1038/s41420-025-02670-y.
5
Exploring the predictive "psycho-biomarkers" for checkpoint immunotherapy in cancer.探索癌症检查点免疫疗法的预测性“心理生物标志物”。
Front Immunol. 2025 Jul 21;16:1590670. doi: 10.3389/fimmu.2025.1590670. eCollection 2025.
6
Deciphering the role of in liver diseases: Mechanisms, clinical relevance, and emerging therapeutic opportunities.解读[具体物质或因素]在肝脏疾病中的作用:机制、临床相关性及新出现的治疗机会。 (注:原文中“of”后面缺少具体内容)
World J Hepatol. 2025 Jul 27;17(7):106795. doi: 10.4254/wjh.v17.i7.106795.
7
Influence of Hypoxia on Tumor Heterogeneity, DNA Repair, and Cancer Therapy: From Molecular Insights to Therapeutic Strategies.缺氧对肿瘤异质性、DNA修复及癌症治疗的影响:从分子洞察到治疗策略
Cells. 2025 Jul 10;14(14):1057. doi: 10.3390/cells14141057.
8
De novo pyrimidine synthesis is a collateral metabolic vulnerability in NF2-deficient mesothelioma.从头嘧啶合成是NF2缺陷型间皮瘤中的一种附带代谢脆弱性。
EMBO Mol Med. 2025 Jul 24. doi: 10.1038/s44321-025-00278-4.
9
Long noncoding RNA LINC00339 promotes osteoporosis development via modulating of regulator CDC42 by binding PARP1.长链非编码RNA LINC00339通过与PARP1结合调控调节因子CDC42促进骨质疏松症发展。
Noncoding RNA Res. 2025 Jun 23;15:18-28. doi: 10.1016/j.ncrna.2025.06.004. eCollection 2025 Dec.
10
Lipidomics and metabolomics as potential biomarkers for breast cancer progression.脂质组学和代谢组学作为乳腺癌进展的潜在生物标志物
NPJ Metab Health Dis. 2024 Sep 2;2(1):24. doi: 10.1038/s44324-024-00027-0.
Cell Rep. 2019 Apr 9;27(2):502-513.e5. doi: 10.1016/j.celrep.2019.03.037.
4
Antigen receptor control of methionine metabolism in T cells.抗原受体对 T 细胞甲硫氨酸代谢的控制。
Elife. 2019 Mar 27;8:e44210. doi: 10.7554/eLife.44210.
5
Tryptophan metabolism as a common therapeutic target in cancer, neurodegeneration and beyond.色氨酸代谢作为癌症、神经退行性疾病及其他疾病的共同治疗靶点。
Nat Rev Drug Discov. 2019 May;18(5):379-401. doi: 10.1038/s41573-019-0016-5.
6
Commensal Microbiota Promote Lung Cancer Development via γδ T Cells.共生菌群通过 γδ T 细胞促进肺癌发生。
Cell. 2019 Feb 21;176(5):998-1013.e16. doi: 10.1016/j.cell.2018.12.040. Epub 2019 Jan 31.
7
Modulating the microbiome to improve therapeutic response in cancer.调节微生物组以改善癌症的治疗反应。
Lancet Oncol. 2019 Feb;20(2):e77-e91. doi: 10.1016/S1470-2045(18)30952-5.
8
Mitochondrial complex III is essential for suppressive function of regulatory T cells.线粒体复合物 III 对于调节性 T 细胞的抑制功能是必需的。
Nature. 2019 Jan;565(7740):495-499. doi: 10.1038/s41586-018-0846-z. Epub 2019 Jan 9.
9
Improving the metabolic fidelity of cancer models with a physiological cell culture medium.用生理细胞培养液提高癌症模型的代谢保真度。
Sci Adv. 2019 Jan 2;5(1):eaau7314. doi: 10.1126/sciadv.aau7314. eCollection 2019 Jan.
10
Distinct Regulation of Th17 and Th1 Cell Differentiation by Glutaminase-Dependent Metabolism.谷氨酰胺酶依赖性代谢对 Th17 和 Th1 细胞分化的不同调节。
Cell. 2018 Dec 13;175(7):1780-1795.e19. doi: 10.1016/j.cell.2018.10.001. Epub 2018 Nov 1.