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Metabolomics in cancer research and emerging applications in clinical oncology.

文献信息

DOI10.3322/caac.21670
PMID33982817
期刊CA: a cancer journal for clinicians
影响因子232.4
JCR 分区Q1
发表年份2021
被引次数338
关键词癌症,细胞内,代谢,代谢组学
文献类型Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Review
ISSN0007-9235
页码333-358
期号71(4)
作者Daniel R Schmidt, Rutulkumar Patel, David G Kirsch, Caroline A Lewis, Matthew G Vander Heiden, Jason W Locasale

一句话小结

本研究回顾了癌症对代谢的影响及代谢组学在癌症诊断、监测和治疗中的应用,强调了小分子代谢物分析在理解肿瘤微环境和细胞代谢重构中的重要性。文章指出,未来需进一步利用代谢组学技术,以提升癌症患者的管理和治疗效果。

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癌症 · 细胞内 · 代谢 · 代谢组学

摘要

癌症对代谢产生了多方面的影响,包括细胞内代谢的重新构建,使癌细胞能够不当增殖并适应肿瘤微环境,以及正常组织代谢的变化。随着氟脱氧葡萄糖正电子发射断层成像被认定为管理多种癌症的重要工具,生物样本中的其他代谢物也逐渐成为癌症诊断、监测和治疗的焦点。代谢组学是对小分子代谢物的全球性分析,像其他组学技术一样,它能够提供关于癌症状态的重要信息,这些信息在其他情况下可能并不明显。在此,作者回顾了癌症及其治疗如何在细胞和系统水平上与代谢相互作用。文章概述了代谢组学,重点介绍了当前可用的技术以及这些技术在临床和转化研究领域的应用。作者还讨论了未来如何进一步利用代谢组学来改善癌症患者的管理。

英文摘要

Cancer has myriad effects on metabolism that include both rewiring of intracellular metabolism to enable cancer cells to proliferate inappropriately and adapt to the tumor microenvironment, and changes in normal tissue metabolism. With the recognition that fluorodeoxyglucose-positron emission tomography imaging is an important tool for the management of many cancers, other metabolites in biological samples have been in the spotlight for cancer diagnosis, monitoring, and therapy. Metabolomics is the global analysis of small molecule metabolites that like other -omics technologies can provide critical information about the cancer state that are otherwise not apparent. Here, the authors review how cancer and cancer therapies interact with metabolism at the cellular and systemic levels. An overview of metabolomics is provided with a focus on currently available technologies and how they have been applied in the clinical and translational research setting. The authors also discuss how metabolomics could be further leveraged in the future to improve the management of patients with cancer.

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主要研究问题

  1. 如何将代谢组学的研究成果应用于不同类型癌症的个性化治疗中?
  2. 在临床肿瘤学中,代谢组学如何与其他组学技术(如基因组学、蛋白质组学)结合使用以提高癌症诊断的准确性?
  3. 代谢组学在癌症监测中的作用如何随着新技术的发展而变化,未来可能出现哪些新的应用?
  4. 目前有哪些成功的案例展示了代谢组学在癌症治疗中的实际应用效果?
  5. 在代谢组学研究中,如何解决生物样本处理和数据分析中的技术挑战,以提高结果的可靠性?

核心洞察

研究背景和目的

癌症对代谢的影响广泛,包括癌细胞内代谢的重塑,使其能够不适当地增殖并适应肿瘤微环境,以及正常组织代谢的变化。随着氟脱氧葡萄糖正电子发射断层成像(FDG-PET)在癌症管理中的重要性日益凸显,其他生物样本中的代谢物也开始受到关注,成为癌症诊断、监测和治疗的新兴工具。本研究旨在综述癌症及其治疗如何在细胞和系统水平上与代谢相互作用,并探讨代谢组学在临床和转化研究中的应用及未来潜力。

主要方法/材料/实验设计

本研究主要采用文献综述的方法,分析当前代谢组学的技术及其在癌症管理中的应用。研究重点包括:

  • 代谢组学的定义与重要性
  • 现有技术的概述,如气相色谱-质谱联用(GC-MS)、液相色谱-质谱联用(LC-MS)等
  • 代谢组学在癌症诊断、治疗监测及预后评估中的应用实例

以下是研究的技术路线图:

Mermaid diagram

关键结果和发现

  1. 代谢组学能够提供癌症状态的全球性信息,揭示出传统检测手段无法察觉的代谢变化。
  2. 当前技术(如GC-MS和LC-MS)在癌症的诊断、监测和预后评估中显示出良好的应用潜力。
  3. 代谢物的特征可以反映肿瘤的生物学特性,帮助医生制定个性化治疗方案。

主要结论/意义/创新性

本研究表明,代谢组学为癌症管理提供了一种新的视角,能够揭示癌症及其治疗对代谢的影响。通过分析代谢物,临床医生可以更好地理解肿瘤生物学,进而优化患者的治疗策略。代谢组学的创新性在于其能够综合多种生物标志物,提供更全面的疾病状态评估。

研究局限性和未来方向

  • 局限性:目前代谢组学技术的标准化和临床应用尚未完全成熟,数据解释的复杂性也可能导致误解。
  • 未来方向:建议进一步研究代谢组学在不同癌症类型中的特异性应用,开发更为精确的生物标志物,并探索其在个性化医疗中的潜力。
部分内容概述
研究背景和目的探讨癌症对代谢的影响及代谢组学在癌症管理中的应用
主要方法文献综述,技术概述,案例分析
关键结果代谢组学揭示癌症状态,技术应用潜力大
主要结论提供新视角,优化个性化治疗策略
研究局限性技术标准化不足,数据复杂性问题
未来方向研究特异性应用,开发生物标志物,个性化医疗潜力

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