CRCDB:用于整合和分析早发和晚发结直肠癌多组学数据的综合数据库。
CRCDB: A comprehensive database for integrating and analyzing multi-omics data of early-onset and late-onset colorectal cancer.
发表日期:2024 Dec
作者:
Danyi Zou, Wanshan Ning, Luming Xu, Shijun Lei, Lin Wang, Zheng Wang
来源:
Computational and Structural Biotechnology Journal
摘要:
早发性结直肠癌(EOCRC)的发病率在全球范围内显着增加。发现 EOCRC 特有的生物标志物对于促进预防和检测这种不断增长的癌症亚型非常重要。尽管我们在 CRC 数据管理方面做出了努力,但还没有一个集成平台可以访问与年轻 CRC 患者相关的数据。在这里,我们构建了一个用户友好的开放式集成资源,称为CRCDB(URL:http://crcdb-hust.com),其中包含785个EOCRC、4898个迟发CRC(LOCRC)和1110个正常对照样本的多组学数据来自组织、全血、血小板和血清外泌体。 CRCDB管理不同CRC组的差异分析、生存分析、共表达分析和免疫细胞浸润比较分析结果。还为用户提供荟萃分析结果以供进一步的数据解释。利用 CRCDB 中的资源,我们发现与代谢过程相关的基因在 EOCRC 患者中表达较少,而与有丝分裂过程最相关的上调基因可能在 LOCRC 的分子发病机制中发挥重要作用。 EOCRC 中与生存相关的基因在氧化还原途径中最为丰富,而在 LOCRC 中则在免疫相关途径中最为丰富。通过收集和处理所有数据,我们预计 CRCDB 可以成为一个实用的数据挖掘平台,帮助探索组学数据的潜在应用,并为特定的 CRC 患者群体制定有效的预防和治疗策略。© 2024 作者。
The incidence of early-onset colorectal cancer (EOCRC) has increased significantly worldwide. Uncovering biomarkers that are unique to EOCRC is of great importance to facilitate the prevention and detection of this growing cancer subtype. Although efforts have been made in the data curation about CRC, there is no integrated platform that gives access to data specifically related to young CRC patients. Here, we constructed a user-friendly open integrated resource called CRCDB (URL: http://crcdb-hust.com) which contains multi-omics data of 785 EOCRC, 4898 late-onset CRCs (LOCRC), and 1110 normal control samples from tissue, whole blood, platelets, and serum exosomes. CRCDB manages the differential analysis, survival analysis, co-expression analysis, and immune cell infiltration comparison analysis results in different CRC groups. Meta-analysis results were also provided for users for further data interpretation. Using the resource in CRCDB, we identified that genes associated with the metabolic process were less expressed in EOCRC patients, while up regulated genes most associated with the mitosis process might play an important role in the molecular pathogenesis of LOCRC. Survival-related genes were most enriched in oxidoreduction pathways in EOCRC while in immune-related pathways in LOCRC. With all the data gathered and processed, we anticipate that CRCDB could be a practical data mining platform to help explore potential applications of omics data and develop effective prevention and therapeutic strategies for the specific group of CRC patients.© 2024 The Authors.