Zou Danyi, Ning Wanshan, Xu Luming, Lei Shijun, Wang Lin, Wang Zheng
Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Hubei Key Laboratory of Regenerative Medicine and Multi-disciplinary Translational Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Comput Struct Biotechnol J. 2024 Jun 2;23:2507-2515. doi: 10.1016/j.csbj.2024.05.051. eCollection 2024 Dec.
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.
早发性结直肠癌（EOCRC）的发病率在全球范围内显著上升。发现EOCRC特有的生物标志物对于促进对这一不断增加的癌症亚型的预防和检测至关重要。尽管在结直肠癌的数据整理方面已经做出了努力，但尚无一个集成平台能够提供专门与年轻结直肠癌患者相关的数据。在此，我们构建了一个名为CRCDB的用户友好型开放集成资源（网址：http://crcdb-hust.com），它包含来自组织、全血、血小板和血清外泌体的785例EOCRC、4898例晚发性结直肠癌（LOCRC）以及1110例正常对照样本的多组学数据。CRCDB管理不同结直肠癌组中的差异分析、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进行进一步的数据解读。利用CRCDB中的资源，我们发现与代谢过程相关的基因在EOCRC患者中表达较低，而与有丝分裂过程最相关的上调基因可能在LOCRC的分子发病机制中起重要作用。生存相关基因在EOCRC中最富集于氧化还原途径，而在LOCRC中则富集于免疫相关途径。通过收集和处理所有数据，我们预计CRCDB可能成为一个实用的数据挖掘平台，以帮助探索组学数据的潜在应用，并为特定组的结直肠癌患者制定有效的预防和治疗策略。
