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Results: 4

1.
Fig. 3.

Fig. 3. From: Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group.

Survival analysis and age distribution of G1, G2, and G3 subgroups in CGGA samples (A and C) and TCGA samples (B and D).

Wei Yan, et al. Neuro Oncol. 2012 December;14(12):1432-1440.
2.
Fig. 1.

Fig. 1. From: Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group.

Identification of 3 glioma subtypes using consensus clustering. (A) Consensus clustering matrix of 225 CGGA samples for k = 2 to k = 5. (B) Consensus clustering CDF for k = 2 to k = 6.

Wei Yan, et al. Neuro Oncol. 2012 December;14(12):1432-1440.
3.
Fig. 4.

Fig. 4. From: Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group.

Classification of CGGA samples using the TCGA system. (A) Genes were ordered according to the predictive 840-gene list of the TCGA classification system, and the 225 CGGA samples were clustered. No classical subtype was identified in the heat map. (B) Kaplan–Meier survival analysis shows that the proneural subtype has significantly better survival for all cases (n = 217, P < .01). (C) Matrix of subtype grouping for CGGA samples (n = 225) as predicted by TCGA or CGGA classification systems.

Wei Yan, et al. Neuro Oncol. 2012 December;14(12):1432-1440.
4.
Fig. 2.

Fig. 2. From: Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group.

Heat maps of the 3 subtypes in the training and validation samples. (A) With use of our 1801 probe sets, samples were ordered on the basis of subtype predictions, and genes were clustered using the 225 CGGA samples. (B) Gene order from the CGGA samples was maintained in the validation data set (n = 202), which is composed of only GBMs that were molecularly classified in the TCGA. (C) Matrix of subtype grouping for the TCGA samples (n = 202) as predicted by TCGA or CGGA classification systems.

Wei Yan, et al. Neuro Oncol. 2012 December;14(12):1432-1440.

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