Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

CGGA

General information

URL: http://www.cgga.org.cn
Full name: Chinese Glioma Genome Altas
Description: The CGGA database is a user-friendly web application for data storage and analysis to explore brain tumors datasets over 2,000 samples from Chinese cohorts.
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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Contact information

University/Institution: Capital Medical University
Address: No. 119 South Fourth Ring West Road, Fengtai District, Beijing 100070, P.R. China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Tao Jiang
Contact email (PI/Helpdesk): taojiang1964@163.com

Publications

41561325
Voxel-based mapping of postoperative epilepsy risk in glioma patients: supplementary motor area and limbic system correlations. [PMID: 41561325]
Nzoyoum Kuetche Mandela William, Lei Wang, Liu Xianzhi

OBJECTIVE: This study aims to explore the correlation between glioma location in the limbic system and the risk of secondary epilepsy.
METHODS: This retrospective study included 170 cases of lower-grade gliomas treated with initial surgery from July 2007 to July 2019, sourced from the Chinese Glioma Genome Atlas (CGGA) database (http://www.cgga.org.cn). Patients were categorized into epilepsy and non-epilepsy groups based on postoperative symptoms. Imaging data were obtained from the Imaging Center of Beijing Tiantan Hospital, and postoperative epilepsy episodes were collected through follow-up. T2-weighted (T2WI) DICOM raw image data were converted into NII images, and tumor-susceptible regions were delineated using MRIcro software. Standardized T2WI gliomas and regions of interest (ROI) were analyzed using voxel-based lesion-symptom mapping (VLSM) software (https://crl.ucsd.edu/?). Overlapping ROIs were mapped for each patient. For voxel analysis in epilepsy-susceptible regions, the voxel with the highest -value was defined as the peak voxel (PV). If the ROI overlapped with this voxel, the glioma was considered to confer a higher risk of epilepsy at that location. Statistical analysis was conducted using SPSS to compare glioma involvement in limbic system regions identified in imaging reports with patients' postoperative epilepsy history.
RESULTS: Voxels significantly associated with tumor-related epilepsy were primarily located in the medial frontal lobe's supplementary motor area of the left hemisphere. The peak voxel at this location was  = 88,  = 155,  = 134 (  = 4.69,  = 0.041), indicating the highest correlation with tumor-related epilepsy. Conversely, voxels less sensitive to epilepsy were mainly in the upper anterior cingulate gyrus. The peak voxel for this region was  = 91,  = 166,  = 79 (  = 3.70,  = 0.857), indicating the lowest correlation with tumor-related epilepsy.
CONCLUSION: Epilepsy-susceptible regions of tumor-related epilepsy are located in the supplementary motor area of the medial frontal lobe in the left hemisphere. Regions not susceptible to epilepsy could primarily be in the anterior upper cingulate gyrus. Gliomas involving the anterior cingulate gyrus in the limbic system are associated with a lower postoperative risk of tumor-related epilepsy.

Front Neurol. 2025:16() | 0 Citations (from Europe PMC, 2026-08-15)
33662628
Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients. [PMID: 33662628]
Zheng Zhao, Ke-Nan Zhang, Qiangwei Wang, Guanzhang Li, Fan Zeng, Ying Zhang, Fan Wu, Ruichao Chai, Zheng Wang, Chuanbao Zhang, Wei Zhang, Zhaoshi Bao, Tao Jiang

Gliomas are the most common and malignant intracranial tumors in adults. Recent studies have revealed the significance of functional genomics for glioma pathophysiological studies and treatments. However, access to comprehensive genomic data and analytical platforms is often limited. Here, we developed the Chinese Glioma Genome Atlas (CGGA), a user-friendly data portal for the storage and interactive exploration of cross-omics data, including nearly 2000 primary and recurrent glioma samples from Chinese cohort. Currently, open access is provided to whole-exome sequencing data (286 samples), mRNA sequencing (1018 samples) and microarray data (301 samples), DNA methylation microarray data (159 samples), and microRNA microarray data (198 samples), and to detailed clinical information (age, gender, chemoradiotherapy status, WHO grade, histological type, critical molecular pathological information, and survival data). In addition, we have developed several tools for users to analyze the mutation profiles, mRNA/microRNA expression, and DNA methylation profiles, and to perform survival and gene correlation analyses of specific glioma subtypes. This database removes the barriers for researchers, providing rapid and convenient access to high-quality functional genomic data resources for biological studies and clinical applications. CGGA is available at http://www.cgga.org.cn.

Genomics Proteomics Bioinformatics. 2021:19(1) | 800 Citations (from Europe PMC, 2026-08-15)

Ranking

All databases:
118/6935 (98.313%)
Expression:
20/1364 (98.607%)
Modification:
6/342 (98.538%)
Health and medicine:
31/1765 (98.3%)
118
Total Rank
693
Citations
138.6
z-index

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Record metadata

Created on: 2019-07-01
Curated by:
Dong Zou [2026-07-13]
Zhang Zhang [2022-08-12]
Lin Liu [2022-06-20]
Qianpeng Li [2022-04-18]
Lina Ma [2019-07-01]