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CRCDB: A comprehensive database for integrating and analyzing multi-omics data of early-onset and late-onset colorectal cancer.
Zou, Danyi; Ning, Wanshan; Xu, Luming; Lei, Shijun; Wang, Lin; Wang, Zheng.
Affiliation
  • Zou D; Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Ning W; 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.
  • Xu L; Hubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart Equipment, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Lei S; Department of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Wang L; 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.
  • Wang Z; Hubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart Equipment, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Comput Struct Biotechnol J ; 23: 2507-2515, 2024 Dec.
Article in En | MEDLINE | ID: mdl-38974887
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Comput Struct Biotechnol J Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Comput Struct Biotechnol J Year: 2024 Document type: Article Affiliation country: China Country of publication: Países Bajos