...
首页> 外文期刊>Metabolites >Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS)
【24h】

Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS)

机译:使用离体高分辨率魔角旋转(HRMAS)磁共振波谱(MRS)评估癌症代谢组学

获取原文
   

获取外文期刊封面封底 >>

       

摘要

According to World Health Organization (WHO) estimates, cancer is responsible for more deaths than all coronary heart disease or stroke worldwide, serving as a major public health threat around the world. High resolution magic angle spinning (HRMAS) magnetic resonance spectroscopy (MRS) has demonstrated its usefulness in the identification of cancer metabolic markers with the potential to improve diagnosis and prognosis for the oncology clinic, due partially to its ability to preserve tissue architecture for subsequent histological and molecular pathology analysis. Capable of the quantification of individual metabolites, ratios of metabolites, and entire metabolomic profiles, HRMAS MRS is one of the major techniques now used in cancer metabolomic research. This article reviews and discusses literature reports of HRMAS MRS studies of cancer metabolomics published between 2010 and 2015 according to anatomical origins, including brain, breast, prostate, lung, gastrointestinal, and neuroendocrine cancers. These studies focused on improving diagnosis and understanding patient prognostication, monitoring treatment effects, as well as correlating with the use of in vivo MRS in cancer clinics.
机译:根据世界卫生组织(WHO)的估计,与全球所有冠心病或中风相比,癌症造成的死亡人数更多,是全世界主要的公共健康威胁。高分辨率魔术角旋转(HRMAS)磁共振波谱(MRS)已证明其在鉴定癌症代谢标记物方面的有用性,并有可能改善肿瘤学诊所的诊断和预后,部分原因是其能够保存组织结构以供后续组织学使用和分子病理学分析。 HRMAS MRS能够定量单个代谢物,代谢物的比例以及整个代谢组学谱,是目前在癌症代谢组学研究中使用的主要技术之一。本文根据解剖学起源(包括脑癌,乳腺癌,前列腺癌,肺癌,胃肠道癌和神经内分泌癌),回顾并讨论了2010年至2015年间发表的HRMAS MRS癌症代谢组学研究的文献报道。这些研究专注于改善诊断和了解患者的预后,监测治疗效果以及与体内MRS在癌症诊所中的使用相关。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号