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Cancer Target Gene Screening: a web application for breast cancer target gene screening using multi-omics data
Hyung-Yong Kim1, Hee-Joo Choi1,2, Jeong-Yeon Lee3
1Department of Pathology, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Abstract:
Breast cancer comprises several molecular subtypes with distinct clinical features and treatment responses, and a substantial portion of each subtype remains incurable. A comprehensive analysis of multi-omics data and clinical profiles is required in order to better understand the biological complexity of this cancer type and to identify new prognostic and therapeutic markers. Thus, there arises a need for useful analytical tools to assist in the investigation and clinical management of the disease. We developed Cancer Target Gene Screening (CTGS), a web application that provides rapid and user-friendly analysis of multi-omics data sets from a large number of primary breast tumors. It allows the investigation of genomic and epigenomic aberrations, evaluation of transcriptomic profiles and performance of survival analyses and of bivariate correlations between layers of omics data. Notably, the genome-wide screening function of CTGS prioritizes candidate genes of clinical and biological significance among genes with copy number alteration, DNA methylation and dysregulated expression by the integrative analysis of different types of omics data in customized subgroups of breast cancer patients. These features may help in the identification of druggable cancer driver genes in a specific subtype or the clinical condition of human breast cancer. CTGS is available at http://ctgs.biohackers.net.
Insights
A new web tool, Cancer Target Gene Screening (CTGS), aids breast cancer research by analyzing multi-omics data. It helps identify potential therapeutic targets and biomarkers for improved patient outcomes.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Breast cancer presents diverse molecular subtypes with varied clinical outcomes, necessitating advanced research tools.
- Understanding the biological complexity and identifying novel prognostic/therapeutic markers are crucial for incurable subtypes.
Purpose of the Study:
- To develop an accessible analytical tool for comprehensive multi-omics data analysis in breast cancer.
- To facilitate the identification of clinically significant genes and potential therapeutic targets.
Main Methods:
- Development of Cancer Target Gene Screening (CTGS), a web application for analyzing multi-omics data from primary breast tumors.
- Integration of genomic, epigenomic, and transcriptomic data with survival and correlation analyses.
- Genome-wide screening function to prioritize candidate genes based on alterations and expression.
Main Results:
- CTGS enables rapid, user-friendly investigation of genomic and epigenomic aberrations, transcriptomic profiles, and survival analyses.
- The tool integrates multi-omics data to prioritize candidate genes with copy number alterations, DNA methylation, and dysregulated expression.
- Prioritized genes are of potential clinical and biological significance within specific breast cancer subgroups.
Conclusions:
- CTGS provides a valuable platform for breast cancer research, aiding in the discovery of druggable cancer driver genes.
- The application supports subtype-specific and condition-specific identification of therapeutic targets.
- CTGS is accessible online for broader research community utilization.
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