ECGA: A web server to explore and analyze extrachromosomal gene in cancer

Circular extrachromosomal DNA (ecDNA) plays a crucial role in the onset, progression, and evolution of many types of cancers, with dysregulated gene expression driven by ecDNA as a key mechanism. Although database resources for ecDNA are now available, a sophisticated web application dedicated to ecDNA gene analysis remains absent. Therefore, we developed ecDNA gene analyzer (ECGA). ECGA catalogues 23,274 unique ecDNA genes of 27 cancers across 27 tissues. ECGA also offers five specialized analysis tools: (1) 'Venn analysis' looks for overlaps between a given gene list and ecDNA genes; (2) 'Enrichment analysis' performs over-representation analysis and gene set enrichment analysis of input gene list within predefined ecDNA gene sets; (3) 'Target discovery' identifies upregulated ecDNA genes as targets by comparing with reference expression in normal samples; (4) 'DE analysis' finds differentially expressed ecDNA genes; (5) 'Signature discovery' discerns ecDNA gene signatures capable of classifying samples into phenotypic groups, and it is accompanied by 'Signature validation' for model test on unseen data. In summary, ECGA emerges as an indispensable platform in cancer genetics, bridging gaps in basic research, medical reporting, and pharmaceutical development, and propelling ecDNA research forward. ECGA is freely available at https://www.zhounan.org/ecga/.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2024-11-05
DOI
https://doi.org/10.1016/j.csbj.2024.11.009
Citations
2
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.57

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article

ECGA: A web server to explore and analyze extrachromosomal gene in cancer

Yuping Ning, Xiaoqing Yuan, Zhiyu Zhang, Nan Zhou et al.
2 citations
Computational and Structural Biotechnology Journal
Cancer Genomics and Diagnostics
0.57
article

ECGA: A web server to explore and analyze extrachromosomal gene in cancer

Yuping Ning, Xiaoqing Yuan, Zhiyu Zhang, Nan Zhou, Li Peng, Qiqi Luo, Jinku Bao, Hongying Sun
article en
2 citations

Abstract

Circular extrachromosomal DNA (ecDNA) plays a crucial role in the onset, progression, and evolution of many types of cancers, with dysregulated gene expression driven by ecDNA as a key mechanism. Although database resources for ecDNA are now available, a sophisticated web application dedicated to ecDNA gene analysis remains absent. Therefore, we developed ecDNA gene analyzer (ECGA). ECGA catalogues 23,274 unique ecDNA genes of 27 cancers across 27 tissues. ECGA also offers five specialized analysis tools: (1) 'Venn analysis' looks for overlaps between a given gene list and ecDNA genes; (2) 'Enrichment analysis' performs over-representation analysis and gene set enrichment analysis of input gene list within predefined ecDNA gene sets; (3) 'Target discovery' identifies upregulated ecDNA genes as targets by comparing with reference expression in normal samples; (4) 'DE analysis' finds differentially expressed ecDNA genes; (5) 'Signature discovery' discerns ecDNA gene signatures capable of classifying samples into phenotypic groups, and it is accompanied by 'Signature validation' for model test on unseen data. In summary, ECGA emerges as an indispensable platform in cancer genetics, bridging gaps in basic research, medical reporting, and pharmaceutical development, and propelling ecDNA research forward. ECGA is freely available at https://www.zhounan.org/ecga/.

Computational and Structural Biotechnology JournalVol. 23
Sun Yat-sen University (CN), Sichuan University (CN), Sun Yat-sen Memorial Hospital (CN), Guangzhou Psychiatric Hospital (CN), Guangdong 999 Brain Hospital (CN), Guangzhou Medical University (CN)
Guangzhou Medical University, National Natural Science Foundation of China, Sun Yat-sen University, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 31%
Cancer Genomics and Diagnostics
0.57
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