• 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

利用基因组规模代谢模型阐明结直肠癌代谢重编程

Elucidating the Reprograming of Colorectal Cancer Metabolism Using Genome-Scale Metabolic Modeling.

作者信息

Zhang Cheng, Aldrees Mohammed, Arif Muhammad, Li Xiangyu, Mardinoglu Adil, Aziz Mohammad Azhar

机构信息

Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.

Department of Medical Genomics, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.

出版信息

Front Oncol. 2019 Jul 30;9:681. doi: 10.3389/fonc.2019.00681. eCollection 2019.

DOI:10.3389/fonc.2019.00681
PMID:31417867
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6682621/
Abstract

Colorectal cancer is the third most incidental cancer worldwide, and the response rate of current treatment for colorectal cancer is very low. Genome-scale metabolic models (GEMs) are systems biology platforms, and they had been used to assist researchers in understanding the metabolic alterations in different types of cancer. Here, we reconstructed a generic colorectal cancer GEM by merging 374 personalized GEMs from the Human Pathology Atlas and used it as a platform for systematic investigation of the difference between tumor and normal samples. The reconstructed model revealed the metabolic reprogramming in glutathione as well as the arginine and proline metabolism in response to tumor occurrence. In addition, six genes including ODC1, SMS, SRM, RRM2, SMOX, and SAT1 associated with arginine and proline metabolism were found to be key players in this metabolic alteration. We also investigated these genes in independent colorectal cancer patients and cell lines and found that many of these genes showed elevated level in colorectal cancer and exhibited adverse effect in patients. Therefore, these genes could be promising therapeutic targets for treatment of a specific colon cancer patient group.

摘要

结直肠癌是全球第三大偶发性癌症,目前结直肠癌治疗的有效率很低。基因组规模代谢模型(GEMs)是系统生物学平台,已被用于帮助研究人员了解不同类型癌症中的代谢改变。在此,我们通过合并来自人类病理图谱的374个个性化GEMs重建了一个通用的结直肠癌GEM,并将其作为系统研究肿瘤样本与正常样本差异的平台。重建模型揭示了谷胱甘肽代谢重编程以及精氨酸和脯氨酸代谢对肿瘤发生的响应。此外,发现包括ODC1、SMS、SRM、RRM2、SMOX和SAT1在内的六个与精氨酸和脯氨酸代谢相关的基因是这种代谢改变的关键因素。我们还在独立的结直肠癌患者和细胞系中研究了这些基因,发现其中许多基因在结直肠癌中表达水平升高,并在患者中表现出不良影响。因此,这些基因可能是治疗特定结肠癌患者群体的有前景的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/2d56e761af1d/fonc-09-00681-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/ad3b068e930b/fonc-09-00681-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/0d64571c4d00/fonc-09-00681-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/232f80d4d095/fonc-09-00681-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/a8da63e71286/fonc-09-00681-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/2d56e761af1d/fonc-09-00681-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/ad3b068e930b/fonc-09-00681-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/0d64571c4d00/fonc-09-00681-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/232f80d4d095/fonc-09-00681-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/a8da63e71286/fonc-09-00681-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d745/6682621/2d56e761af1d/fonc-09-00681-g0005.jpg

相似文献

1
Elucidating the Reprograming of Colorectal Cancer Metabolism Using Genome-Scale Metabolic Modeling.利用基因组规模代谢模型阐明结直肠癌代谢重编程
Front Oncol. 2019 Jul 30;9:681. doi: 10.3389/fonc.2019.00681. eCollection 2019.
2
The Dysregulation of Polyamine Metabolism in Colorectal Cancer Is Associated with Overexpression of c-Myc and C/EBPβ rather than Enterotoxigenic Bacteroides fragilis Infection.结直肠癌中多胺代谢失调与c-Myc和C/EBPβ的过表达相关,而非产肠毒素脆弱拟杆菌感染。
Oxid Med Cell Longev. 2016;2016:2353560. doi: 10.1155/2016/2353560. Epub 2016 Jun 28.
3
Genome-scale modeling of human metabolism - a systems biology approach.人类代谢的基因组规模建模 - 系统生物学方法。
Biotechnol J. 2013 Sep;8(9):985-96. doi: 10.1002/biot.201200275. Epub 2013 Apr 24.
4
The potential role of c-MYC and polyamine metabolism in multiple drug resistance in bladder cancer investigated by metabonomics.通过代谢组学研究c-MYC和多胺代谢在膀胱癌多药耐药中的潜在作用。
Genomics. 2022 Jan;114(1):125-137. doi: 10.1016/j.ygeno.2021.11.028. Epub 2021 Nov 27.
5
Human metabolic atlas: an online resource for human metabolism.人类代谢图谱:人类新陈代谢的在线资源。
Database (Oxford). 2015 Jul 24;2015:bav068. doi: 10.1093/database/bav068. Print 2015.
6
Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models.机器学习引导的癌症患者特异性代谢模型提取与模拟方法评估
Comput Struct Biotechnol J. 2022 Jun 15;20:3041-3052. doi: 10.1016/j.csbj.2022.06.027. eCollection 2022.
7
Biomarkers of coordinate metabolic reprogramming in colorectal tumors in mice and humans.在小鼠和人类结直肠肿瘤中协调代谢重编程的生物标志物。
Gastroenterology. 2014 May;146(5):1313-24. doi: 10.1053/j.gastro.2014.01.017. Epub 2014 Jan 15.
8
Genome scale metabolic modeling of cancer.癌症的基因组规模代谢建模。
Metab Eng. 2017 Sep;43(Pt B):103-112. doi: 10.1016/j.ymben.2016.10.022. Epub 2016 Nov 4.
9
Genome-Scale Metabolic Modeling Enables In-Depth Understanding of Big Data.基因组尺度代谢建模助力深入理解大数据。
Metabolites. 2021 Dec 24;12(1):14. doi: 10.3390/metabo12010014.
10
Next-Generation Genome-Scale Metabolic Modeling through Integration of Regulatory Mechanisms.通过整合调控机制进行下一代基因组规模代谢建模
Metabolites. 2021 Sep 7;11(9):606. doi: 10.3390/metabo11090606.

引用本文的文献

1
The functional correlation between mir-16-5p and BIRC5 gene in colorectal cancer: integrated analysis of transcriptomics and in vitro validation.mir-16-5p与BIRC5基因在结直肠癌中的功能相关性:转录组学综合分析及体外验证
Mol Biol Rep. 2025 Feb 20;52(1):252. doi: 10.1007/s11033-025-10355-z.
2
Linking Metastatic Behavior and Metabolic Heterogeneity of Circulating Tumor Cells at Single-Cell Level Using an Integrative Microfluidic System.使用集成微流控系统在单细胞水平上关联循环肿瘤细胞的转移行为和代谢异质性。
Adv Sci (Weinh). 2025 Apr;12(14):e2413978. doi: 10.1002/advs.202413978. Epub 2025 Feb 17.
3
From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.

本文引用的文献

1
Colorectal Cancer and Metabolism.结直肠癌与代谢
Curr Colorectal Cancer Rep. 2018 Dec;14(6):226-241. doi: 10.1007/s11888-018-0420-y. Epub 2018 Nov 16.
2
Targeting the IDO1 pathway in cancer: from bench to bedside.针对癌症中的 IDO1 途径:从基础研究到临床应用。
J Hematol Oncol. 2018 Aug 2;11(1):100. doi: 10.1186/s13045-018-0644-y.
3
Glutathione metabolism in cancer progression and treatment resistance.癌症进展和治疗耐药中的谷胱甘肽代谢。
从数据到治愈:靶向治疗多组学数据分析的全面探索
Mol Biotechnol. 2025 Apr;67(4):1269-1289. doi: 10.1007/s12033-024-01133-6. Epub 2024 Apr 2.
4
Targeting metabolic fluxes reverts metastatic transitions in ovarian cancer.靶向代谢通量可逆转卵巢癌的转移转变。
iScience. 2023 Sep 28;26(11):108081. doi: 10.1016/j.isci.2023.108081. eCollection 2023 Nov 17.
5
Genome-scale models as a vehicle for knowledge transfer from microbial to mammalian cell systems.基因组规模模型作为知识从微生物细胞系统转移到哺乳动物细胞系统的载体。
Comput Struct Biotechnol J. 2023 Feb 8;21:1543-1549. doi: 10.1016/j.csbj.2023.02.011. eCollection 2023.
6
Whole-cell energy modeling reveals quantitative changes of predicted energy flows in RAS mutant cancer cell lines.全细胞能量建模揭示了RAS突变癌细胞系中预测能量流的定量变化。
iScience. 2023 Jan 5;26(2):105931. doi: 10.1016/j.isci.2023.105931. eCollection 2023 Feb 17.
7
Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer.基于约束的代谢模型重建与分析:用于癌症研究的开源Python工具及应用
Front Oncol. 2022 Jul 7;12:914594. doi: 10.3389/fonc.2022.914594. eCollection 2022.
8
Exploring the metabolic landscape of pancreatic ductal adenocarcinoma cells using genome-scale metabolic modeling.利用基因组规模代谢模型探索胰腺导管腺癌细胞的代谢格局。
iScience. 2022 May 30;25(6):104483. doi: 10.1016/j.isci.2022.104483. eCollection 2022 Jun 17.
9
Comprehensive functional genomic analyses link APC somatic mutation and mRNA-miRNA networks to the clinical outcome of stage-III colorectal cancer patients.综合功能基因组分析将 APC 体细胞突变与 mRNA-miRNA 网络联系起来,为 III 期结直肠癌患者的临床结局提供了线索。
Biomed J. 2022 Apr;45(2):347-360. doi: 10.1016/j.bj.2021.03.001. Epub 2021 Mar 16.
10
Acupuncture Synergized With Bortezomib Improves Survival of Multiple Myeloma Mice Decreasing Metabolic Ornithine.针刺联合硼替佐米可提高多发性骨髓瘤小鼠的生存率并降低代谢性鸟氨酸水平
Front Oncol. 2021 Nov 2;11:779562. doi: 10.3389/fonc.2021.779562. eCollection 2021.
J Cell Biol. 2018 Jul 2;217(7):2291-2298. doi: 10.1083/jcb.201804161. Epub 2018 Jun 18.
4
Systems biology in hepatology: approaches and applications.系统生物学在肝脏病学中的应用及方法。
Nat Rev Gastroenterol Hepatol. 2018 Jun;15(6):365-377. doi: 10.1038/s41575-018-0007-8.
5
Role of Polyamines in Immune Cell Functions.多胺在免疫细胞功能中的作用。
Med Sci (Basel). 2018 Mar 8;6(1):22. doi: 10.3390/medsci6010022.
6
An integrated computational and experimental study uncovers FUT9 as a metabolic driver of colorectal cancer.一项综合计算和实验研究揭示了 FUT9 是结直肠癌的代谢驱动因素。
Mol Syst Biol. 2017 Dec 1;13(12):956. doi: 10.15252/msb.20177739.
7
Towards personalized medicine of colorectal cancer.迈向结直肠癌的个性化医疗。
Crit Rev Oncol Hematol. 2017 Oct;118:70-78. doi: 10.1016/j.critrevonc.2017.08.007. Epub 2017 Aug 26.
8
A pathology atlas of the human cancer transcriptome.人类癌症转录组病理学图谱。
Science. 2017 Aug 18;357(6352). doi: 10.1126/science.aan2507.
9
Improving the economics of NASH/NAFLD treatment through the use of systems biology.通过系统生物学改善 NASH/NAFLD 治疗的经济学效果。
Drug Discov Today. 2017 Oct;22(10):1532-1538. doi: 10.1016/j.drudis.2017.07.005. Epub 2017 Jul 20.
10
Factors Impacting Treatment Choice in the First-Line Treatment of Colorectal Cancer.影响结直肠癌一线治疗中治疗选择的因素
Oncol Ther. 2016;4(1):103-116. doi: 10.1007/s40487-016-0020-4. Epub 2016 May 11.