Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
The School of Science, Kangda College of Nanjing Medical University, Lianyungang, Jiangsu 222000, China.
Database (Oxford). 2021 Mar 9;2021. doi: 10.1093/database/baaa094.
The pathogenesis of cancer is influenced by interactions among genes, proteins, metabolites and other small molecules. Understanding cancer progression at the metabolic level is propitious to the visual decoding of changes in living organisms. To date, a large number of metabolic biomarkers in cancer have been measured and reported, which provide an alternative method for cancer precision diagnosis, treatment and prognosis. To systematically understand the heterogeneity of cancers, we developed the database CMBD to integrate the cancer metabolic biomarkers scattered over literatures in PubMed. At present, CMBD contains 438 manually curated relationships between 282 biomarkers and 76 cancer subtypes of 18 tissues reported in 248 literatures. Users can access the comprehensive metabolic biomarker information about cancers, references, clinical samples and their relationships from our online database. As case studies, pathway analysis was performed on the metabolic biomarkers of breast and prostate cancers, respectively. 'Phenylalanine, tyrosine and tryptophan biosynthesis', 'phenylalanine metabolism' and 'primary bile acid biosynthesis' were identified as playing key roles in breast cancer. 'Glyoxylate and dicarboxylate metabolism', 'citrate cycle (TCA cycle)', and 'alanine, aspartate and glutamate metabolism' have important functions in prostate cancer. These findings provide us with an understanding of the metabolic pathway of cancer initiation and progression. Database URL: http://www.sysbio.org.cn/CMBD/.
癌症的发病机制受到基因、蛋白质、代谢物和其他小分子相互作用的影响。了解代谢水平的癌症进展有助于直观解码生物体的变化。迄今为止,已经测量和报道了大量癌症中的代谢生物标志物,为癌症的精确诊断、治疗和预后提供了一种替代方法。为了系统地了解癌症的异质性,我们开发了数据库 CMBD,以整合 Pubmed 中分散的癌症代谢生物标志物文献。目前,CMBD 包含 282 个生物标志物和 76 种组织来源的 18 种癌症类型之间的 438 种人工整理关系,这些关系来自 248 篇文献。用户可以从我们的在线数据库中访问关于癌症、参考文献、临床样本及其关系的全面代谢生物标志物信息。作为案例研究,分别对乳腺癌和前列腺癌的代谢生物标志物进行了途径分析。结果表明,“苯丙氨酸、酪氨酸和色氨酸生物合成”、“苯丙氨酸代谢”和“初级胆汁酸生物合成”在乳腺癌中起着关键作用。“乙醛酸和二羧酸代谢”、“柠檬酸循环(TCA 循环)”和“丙氨酸、天冬氨酸和谷氨酸代谢”在前列腺癌中具有重要功能。这些发现使我们能够了解癌症发生和进展的代谢途径。数据库 URL:http://www.sysbio.org.cn/CMBD/。