Glioblastoma Multiforme: Correlation between molecular cancer subtypes and selected clinical features
(primary solid tumor cohort)
Maintained by TCGA GDAC Team (Broad Institute/MD Anderson Cancer Center/Harvard Medical School)
- Overview
+ Introduction
- Summary

Testing the association between subtypes identified by 10 different clustering approaches and 5 clinical features across 564 patients, 2 significant findings detected with P value < 0.05 and Q value < 0.25.

  • CNMF clustering analysis on array-based mRNA expression data identified 3 subtypes that do not correlate to any clinical features.

  • Consensus hierarchical clustering analysis on array-based mRNA expression data identified 3 subtypes that do not correlate to any clinical features.

  • CNMF clustering analysis on array-based miR expression data identified 4 subtypes that do not correlate to any clinical features.

  • Consensus hierarchical clustering analysis on array-based miR expression data identified 3 subtypes that correlate to 'AGE'.

  • 3 subtypes identified in current cancer cohort by 'CN CNMF'. These subtypes correlate to 'AGE'.

  • 4 subtypes identified in current cancer cohort by 'METHLYATION CNMF'. These subtypes do not correlate to any clinical features.

  • CNMF clustering analysis on RPPA data identified 4 subtypes that do not correlate to any clinical features.

  • Consensus hierarchical clustering analysis on RPPA data identified 3 subtypes that do not correlate to any clinical features.

  • CNMF clustering analysis on sequencing-based mRNA expression data identified 6 subtypes that do not correlate to any clinical features.

  • Consensus hierarchical clustering analysis on sequencing-based mRNA expression data identified 6 subtypes that do not correlate to any clinical features.

- Results
- Overview of the results

Table 1.  Get Full Table Overview of the association between subtypes identified by 10 different clustering approaches and 5 clinical features. Shown in the table are P values (Q values). Thresholded by P value < 0.05 and Q value < 0.25, 2 significant findings detected.

Clinical
Features
Time
to
Death
AGE GENDER KARNOFSKY
PERFORMANCE
SCORE
RADIATIONS
RADIATION
REGIMENINDICATION
Statistical Tests logrank test ANOVA Chi-square test ANOVA Chi-square test
mRNA CNMF subtypes 0.367
(1.00)
0.0257
(1.00)
0.497
(1.00)
0.839
(1.00)
0.259
(1.00)
mRNA cHierClus subtypes 0.161
(1.00)
0.0276
(1.00)
0.563
(1.00)
0.487
(1.00)
0.122
(1.00)
miR CNMF subtypes 0.00835
(0.401)
0.101
(1.00)
0.508
(1.00)
0.943
(1.00)
0.638
(1.00)
miR cHierClus subtypes 0.0178
(0.839)
0.000872
(0.0427)
0.119
(1.00)
0.785
(1.00)
0.758
(1.00)
CN CNMF 0.0332
(1.00)
1.16e-06
(5.8e-05)
0.488
(1.00)
0.871
(1.00)
0.1
(1.00)
METHLYATION CNMF 0.619
(1.00)
0.148
(1.00)
0.125
(1.00)
0.945
(1.00)
0.549
(1.00)
RPPA CNMF subtypes 0.856
(1.00)
0.285
(1.00)
0.188
(1.00)
0.418
(1.00)
0.614
(1.00)
RPPA cHierClus subtypes 0.964
(1.00)
0.457
(1.00)
0.528
(1.00)
0.438
(1.00)
0.303
(1.00)
RNAseq CNMF subtypes 0.371
(1.00)
0.15
(1.00)
0.307
(1.00)
0.755
(1.00)
0.19
(1.00)
RNAseq cHierClus subtypes 0.35
(1.00)
0.349
(1.00)
0.0251
(1.00)
0.469
(1.00)
0.957
(1.00)
+ Methods & Data