Download | CGGA - Chinese Glioma Genome Atlas

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[7873, 5970, 2081]

Download CGGA data

*It was updated on Feb 10, 2025, and older versions is available here.
Open access to MRI image data

DataSet ID: Image-genomic data

Data type: Image-genomic data

Platform: MRI

Total number of samples: 268

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
2. Li, Y., Liang, Y., Sun, Z., et al. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging. Neuroradiology. 2019 Nov;61(11):1229-1237.

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MRI Data [Total number of visits: 811]

DataSet ID: scRNA-seq

Data type: Single-cell sequencing

Platform: STRT-seq

Total 6,148 cells, involving in 73 regions from 14 patients.

If you use this part of the data (or method included in it), please consider to cite:

1. Li, GZ., Li, Lin., Li, YM., et al. An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in glioma (2021). Brain 2022 Feb 6.
2. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
3. Yu, Kai., Hu, Yuqiong., Wu, Fan., et al. Surveying brain tumor heterogeneity by single-cell RNA-sequencing of multi-sector biopsies (2020). National Science Review 7(8):1306–1318

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Clinical Data [Total number of visits: 8136]
scRNAseq UMI Count Matrix [Total number of visits: 6510]
Raw Fastq Data (BIGD accession number: HRA000179)

DataSet ID: Spatiotemporal transcriptome data

Data type: mRNA sequencing

Platform: Illumina HiSeq

Total number of samples: Longitudinal samples: 141; Spatial samples: 67

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
2. Feng, J., Zhao, Z., Wei, Y., Bao, Z., et al. Temporal and Spatial Stability of the EM/PM Molecular Subtypes in Adult Diffuse Glioma. (To be submitted).

Further information and requests for resources should be directed to the Lead Contact, Tao Jiang or Xiaolong Fan (taojiang1964@163.com or xfan@bnu.edu.cn)

DataSet ID: Spatiotemporal WES data

Data type: Whole-exome sequencing

Platform: Agilent SureSelect kit v5.4 & Illumina HiSeq 4,000

Total number of samples: Longitudinal samples: 10; Spatial samples: 67

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
2. Yang, C., Tan, Y., Li, S., et al. (2019). Genomic landscapes by multiregion sequencing combined with circulation tumor DNA detection contribute to molecular diagnosis in glioblastomas. Aging 11, 11224-11243
3. Feng, J., Zhao, Z., Wei, Y., Bao, Z., et al. Temporal and Spatial Stability of the EM/PM Molecular Subtypes in Adult Diffuse Glioma. (To be submitted).

Further information and requests for resources should be directed to the Lead Contact, Tao Jiang or Xiaolong Fan (taojiang1964@163.com or xfan@bnu.edu.cn)

DataSet ID: WESeq_286

Data type: Whole-exome sequencing

Platform: Agilent SureSelect kit v5.4 & Illumina HiSeq 4,000

Total number of samples: 286

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
2. Zhao, Z., Zhang, KN., Sun, ZY., et al. WES data from 286 diffuse gliomas under the 2021 WHO Classification of Tumors of the Central Nervous System (2022). Scientific Data 9(1):692.
3. Hu, H., Mu, Q., Bao, Z., et al. (2018). Mutational Landscape of Secondary Glioblastoma Guides MET-Targeted Trial in Brain Tumor. Cell 175, 1665-1678 e1618.
4. Jiang, T., Mao, Y., Ma, W., et al. (2016). CGCG clinical practice guidelines for the management of adult diffuse gliomas. Cancer Lett 375(2):263-273.

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Clinical Data [Total number of visits: 6099]
Mutation Data from SAVI2 [Total number of visits: 5123]
Raw Fastq Data (BIGD accession number: PRJCA001636)

DataSet ID: mRNAseq_693

Data type: mRNA sequencing

Platform: Illumina HiSeq

Total number of samples: 693

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
2. Zhang, K., Liu, X., Li, G,. Clinical management and survival outcomes of patients with different molecular subtypes of diffuse gliomas in China (2011–2017): a multicenter retrospective study from CGGA. Cancer Biol Med 19, 1460-1476. 10.20892/j.issn.2095-3941.2022.0469. >
3. Wang, Y., Qian, T., You, G., et al. (2015). Localizing seizure-susceptible brain regions associated with low-grade gliomas using voxel-based lesion-symptom mapping. NEURO-ONCOLOGY. 17(2): 282-288.
4. Liu, X., Li, Y., Qian, Z., et al. (2018). A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas. NEUROIMAGE-CLINICAL. 20(1070-1077.

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Clinical Data [Total number of visits: 25461]
Expression Data from STAR+RSEM (FPKM value) [Total number of visits: 24012]
Expression Data from STAR (read counts) [Total number of visits: 7873]
Raw Fastq Data (BIGD accession number: PRJCA001747)

DataSet ID: mRNAseq_325

Data type: mRNA sequencing

Platform: Illumina HiSeq 2000 or 2500

Total number of samples: 325

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
2. Zhao, Z., Meng, F., Wang, W., et al. (2017). Comprehensive RNA-seq transcriptomic profiling in the malignant progression of gliomas. Scientific data 4, 170024
3. Bao, Z.S., Chen, H.M., Yang, M.Y., et al. (2014). RNA-seq of 272 gliomas revealed a novel, recurrent PTPRZ1-MET fusion transcript in secondary glioblastomas. Genome research 24, 1765-1773
4. Zhang, K., Liu, X., Li, G,. Clinical management and survival outcomes of patients with different molecular subtypes of diffuse gliomas in China (2011–2017): a multicenter retrospective study from CGGA. Cancer Biol Med 19, 1460-1476. 10.20892/j.issn.2095-3941.2022.0469.

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Clinical Data [Total number of visits: 21079]
Expression Data from STAR+RSEM (FPKM value) [Total number of visits: 20912]
Expression Data from STAR (read counts) [Total number of visits: 5970]
Raw Fastq Data (BIGD accession number: PRJCA001746)

DataSet ID: mRNA-array_301

Data type: mRNA microarray

Platform: Agilent Whole Human Genome (Array)

Total number of samples: 301

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.
2. Fang, S., Liang, J., Qian, T., et al. (2017). Anatomic Location of Tumor Predicts the Accuracy of Motor Function Localization in Diffuse Lower-Grade Gliomas Involving the Hand Knob Area. AMERICAN JOURNAL OF NEURORADIOLOGY. 38(10): 1990-1997
3. Wang, Y., Wang, Y., Fan, X., et al. (2017). Putamen involvement and survival outcomes in patients with insular low-grade gliomas. JOURNAL OF NEUROSURGERY. 126(6): 1788-1794.

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Clinical Data [Total number of visits: 5964]
Expression Data (gene level) [Total number of visits: 6538]
Expression Data (probe level) [Total number of visits: 3577]

DataSet ID: methyl_159

Data type: DNA methylation microarray

Platform: Illumina Infinium HumanMethylation27 Bead-Chips

Total number of samples: 159

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.

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Clinical Data [Total number of visits: 3877]
Methylation Data (gene level) [Total number of visits: 3804]
Methylation Data (probe level) [Total number of visits: 2965]

DataSet ID: microRNA_198

Data type: microRNA microarray

Platform: human v2.0 miRNA Expression BeadChip (Illumina)

Total number of samples: 198

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.

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Clinical Data [Total number of visits: 3831]
Expression Data (gene level) [Total number of visits: 3825]
Expression Data (probe level) [Total number of visits: 2926]

DataSet ID: mRNA sequencing (non-glioma as control)

Data type: mRNA sequencing

Platform: Illumina HiSeq

Total number of samples: 20

If you use this part of the data (or method included in it), please consider to cite:

1. Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics & Bioinformatics 19(1):1-12.

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Expression Data from STAR+RSEM [Total number of visits: 5334]
Expression Data from STAR (read counts) [Total number of visits: 2081]

DataSet ID: scRNA-seq data

Data type: scRNA-seq data

Platform: 10X Genomics

Total number of samples: 16 IDH-mutant samples

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scRNA-seq data

*Browse the 'About' section for details of data processing

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