Bingbing Xie1,2, Zifeng Yuan3, Yadong Yang1,2, Zhidan Sun3, Shuigeng Zhou4, Xiangdong Fang5,6. 1. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. 2. University of Chinese Academy of Sciences, Beijing, 100049, China. 3. Shanghai Key Lab of Intelligent Information Processing and School of Computer Science, Fudan University, Shanghai, 200433, China. 4. Shanghai Key Lab of Intelligent Information Processing and School of Computer Science, Fudan University, Shanghai, 200433, China. sgzhou@fudan.edu.cn. 5. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. fangxd@big.ac.cn. 6. University of Chinese Academy of Sciences, Beijing, 100049, China. fangxd@big.ac.cn.
Abstract
BACKGROUND: Breast cancer is one of the most frequently diagnosed cancers among women worldwide, characterized by diverse biological heterogeneity. It is well known that complex and combined gene regulation of multi-omics is involved in the occurrence and development of breast cancer. RESULTS: In this paper, we present the Multi-Omics Breast Cancer Database (MOBCdb), a simple and easily accessible repository that integrates genomic, transcriptomic, epigenomic, clinical, and drug response data of different subtypes of breast cancer. MOBCdb allows users to retrieve simple nucleotide variation (SNV), gene expression, microRNA expression, DNA methylation, and specific drug response data by various search fashions. The genome-wide browser /navigation facility in MOBCdb provides an interface for visualizing multi-omics data of multi-samples simultaneously. Furthermore, the survival module provides survival analysis for all or some of the samples by using data of three omics. The approved public drugs with genetic variations on breast cancer are also included in MOBCdb. CONCLUSION: In summary, MOBCdb provides users a unique web interface to the integrated multi-omics data of different subtypes of breast cancer, which enables the users to identify potential novel biomarkers for precision medicine.
BACKGROUND:Breast cancer is one of the most frequently diagnosed cancers among women worldwide, characterized by diverse biological heterogeneity. It is well known that complex and combined gene regulation of multi-omics is involved in the occurrence and development of breast cancer. RESULTS: In this paper, we present the Multi-Omics Breast Cancer Database (MOBCdb), a simple and easily accessible repository that integrates genomic, transcriptomic, epigenomic, clinical, and drug response data of different subtypes of breast cancer. MOBCdb allows users to retrieve simple nucleotide variation (SNV), gene expression, microRNA expression, DNA methylation, and specific drug response data by various search fashions. The genome-wide browser /navigation facility in MOBCdb provides an interface for visualizing multi-omics data of multi-samples simultaneously. Furthermore, the survival module provides survival analysis for all or some of the samples by using data of three omics. The approved public drugs with genetic variations on breast cancer are also included in MOBCdb. CONCLUSION: In summary, MOBCdb provides users a unique web interface to the integrated multi-omics data of different subtypes of breast cancer, which enables the users to identify potential novel biomarkers for precision medicine.
Entities:
Keywords:
Breast cancer; Database; Epigenome; Genome; Multi-omics; Precision medicine; Transcriptome
Authors: Jee Won Park; Yesol Kim; Soo-Been Lee; Chae Won Oh; Eun Ji Lee; Je Yeong Ko; Jong Hoon Park Journal: Mol Oncol Date: 2022-01-26 Impact factor: 7.449