综述专论

探索结直肠癌生物标志物的代谢组学研究进展*

  • 王华光 ,
  • 龙江 ,
  • 张莹 ,
  • 丁贤 ,
  • 张静慧 ,
  • 刘心娟 ,
  • 安卓玲 ,
  • 郝建宇
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  • 1.首都医科大学附属北京朝阳医院 药事部,北京 100020;
    2.北京中医药大学东直门医院北京市中西医肿瘤微创医学中心,北京 101121;
    3.首都医科大学附属北京朝阳医院 消化内科,北京 100020
第一作者 王华光 Tel:13671159579;E-mail:whg_007@163.com
龙 江 Tel:13522561745;E-mail:jack1971425@sohu.com
张 莹 Tel:13810648620;E-mail:13810648620@139.com
** 安卓玲 Tel:13810559490;E-mail:anzhuoling@bjcyh.com
郝建宇 Tel:13910230892;E-mail:haojianyu@ccmu.edu.cn

收稿日期: 2024-03-11

  网络出版日期: 2025-01-07

基金资助

* 北京市属医院科研培育计划项目(PG2020008);北京自然科学基金-青年项目(7244463)

The metabolomics research progress of exploring biomarkers for colorectal cancer*

  • WANG Hua-guang ,
  • LONG Jiang ,
  • ZHANG Ying ,
  • DING Xian ,
  • ZHANG Jing-hui ,
  • LIU Xin-juan ,
  • AN Zhuo-ling ,
  • HAO Jian-yu
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  • 1. Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China;
    2. Beijing Minimally Invasive Oncology Medical Center of Traditional Chinese and Western Medicine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 101121, China;
    3. Department of Gastroenterology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China

Received date: 2024-03-11

  Online published: 2025-01-07

摘要

代谢组学是系统生物学的分支学科,通过高通量组学技术研究生物体内的代谢物变化,并探究这种变化与疾病病因或演变的关系,为寻找相关生物标志物和疾病筛查提供了新的研究思路,近年来已被广泛用于肿瘤领域的研究,同时应用网络共享数据库可以深入探讨代谢通路的变化。结直肠癌(colorectal cancer,CRC)是我国位居第2的恶性肿瘤,寻找有临床价值的肿瘤标志物意义重大。本文将重点介绍近5年在不同基质中进行的寻找CRC潜在生物标志物的代谢组学研究进展,为CRC的早期筛查提供参考。

本文引用格式

王华光 , 龙江 , 张莹 , 丁贤 , 张静慧 , 刘心娟 , 安卓玲 , 郝建宇 . 探索结直肠癌生物标志物的代谢组学研究进展*[J]. 药物分析杂志, 2024 , 44(11) : 1827 -1841 . DOI: 10.16155/j.0254-1793.2024-0158

Abstract

Metabolomics, as a branch of systems biology, utilizes high-throughput omics technology to investigate metabolite changes within organisms, which enable us to explore the relationship between such alterations and disease etiology or evolution, thereby providing novel research insights for identifying relevant biomarkers and screening of diseases. In recent years, metabolomics has been widely used in the field of cancer research. At the same time, the changes of metabolic pathways can be deeply discussed by using the network shared database. Given that colorectal cancer ranks as the second most prevalent malignant tumor in China, it is crucial to search for clinically valuable tumor markers. This article will highlight the progress of recent five-year metabolomics studies in different matrices to identify potential biomarkers associated with colorectal cancer(CRC), so as to provide references for early screening of CRC.

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