This pipeline computes the correlation between cancer subtypes identified by different molecular patterns and selected clinical features.
Testing the association between subtypes identified by 8 different clustering approaches and 5 clinical features across 31 patients, no significant finding detected with P value < 0.05 and Q value < 0.25.
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3 subtypes identified in current cancer cohort by 'Copy Number Ratio CNMF subtypes'. These subtypes do not correlate to any clinical features.
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3 subtypes identified in current cancer cohort by 'METHLYATION CNMF'. These subtypes do not correlate to any clinical features.
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CNMF clustering analysis on sequencing-based mRNA expression data identified 3 subtypes that do not correlate to any clinical features.
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Consensus hierarchical clustering analysis on sequencing-based mRNA expression data identified 5 subtypes that do not correlate to any clinical features.
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3 subtypes identified in current cancer cohort by 'MIRSEQ CNMF'. These subtypes do not correlate to any clinical features.
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3 subtypes identified in current cancer cohort by 'MIRSEQ CHIERARCHICAL'. These subtypes do not correlate to any clinical features.
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3 subtypes identified in current cancer cohort by 'MIRseq Mature CNMF subtypes'. These subtypes do not correlate to any clinical features.
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2 subtypes identified in current cancer cohort by 'MIRseq Mature cHierClus subtypes'. These subtypes do not correlate to any clinical features.
Clinical Features |
AGE |
NEOPLASM DISEASESTAGE |
PATHOLOGY T STAGE |
PATHOLOGY N STAGE |
ETHNICITY |
Statistical Tests | Wilcoxon-test | Fisher's exact test | Fisher's exact test | Fisher's exact test | Fisher's exact test |
Copy Number Ratio CNMF subtypes |
0.516 (1.00) |
0.255 (1.00) |
1 (1.00) |
0.574 (1.00) |
0.578 (1.00) |
METHLYATION CNMF |
0.309 (1.00) |
0.73 (1.00) |
0.0917 (1.00) |
0.562 (1.00) |
1 (1.00) |
RNAseq CNMF subtypes |
0.587 (1.00) |
0.026 (1.00) |
0.243 (1.00) |
0.788 (1.00) |
1 (1.00) |
RNAseq cHierClus subtypes |
0.642 (1.00) |
0.397 (1.00) |
0.289 (1.00) |
0.274 (1.00) |
0.4 (1.00) |
MIRSEQ CNMF |
0.349 (1.00) |
0.0399 (1.00) |
1 (1.00) |
0.573 (1.00) |
1 (1.00) |
MIRSEQ CHIERARCHICAL |
0.588 (1.00) |
0.128 (1.00) |
1 (1.00) |
0.569 (1.00) |
1 (1.00) |
MIRseq Mature CNMF subtypes |
0.854 (1.00) |
0.543 (1.00) |
0.454 (1.00) |
0.467 (1.00) |
1 (1.00) |
MIRseq Mature cHierClus subtypes |
0.368 (1.00) |
0.141 (1.00) |
1 (1.00) |
0.1 (1.00) |
0.429 (1.00) |
Cluster Labels | 1 | 2 | 3 |
---|---|---|---|
Number of samples | 7 | 7 | 17 |
P value = 0.516 (Kruskal-Wallis (anova)), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 31 | 30.7 (8.4) |
subtype1 | 7 | 33.0 (5.8) |
subtype2 | 7 | 29.3 (8.0) |
subtype3 | 17 | 30.3 (9.7) |
P value = 0.255 (Fisher's exact test), Q value = 1
nPatients | STAGE I | STAGE IA | STAGE IB | STAGE II | STAGE IIA | STAGE IIC | STAGE III | STAGE IIIB | STAGE IIIC | STAGE IS |
---|---|---|---|---|---|---|---|---|---|---|
ALL | 5 | 1 | 2 | 3 | 1 | 1 | 2 | 2 | 1 | 13 |
subtype1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 |
subtype2 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
subtype3 | 1 | 0 | 1 | 3 | 0 | 0 | 1 | 2 | 1 | 8 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 15 | 16 |
subtype1 | 3 | 4 |
subtype2 | 4 | 3 |
subtype3 | 8 | 9 |
P value = 0.574 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 13 | 4 |
subtype1 | 2 | 1 |
subtype2 | 4 | 0 |
subtype3 | 7 | 3 |
P value = 0.578 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 3 | 28 |
subtype1 | 1 | 6 |
subtype2 | 1 | 6 |
subtype3 | 1 | 16 |
Cluster Labels | 1 | 2 | 3 |
---|---|---|---|
Number of samples | 6 | 14 | 11 |
P value = 0.309 (Kruskal-Wallis (anova)), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 31 | 30.7 (8.4) |
subtype1 | 6 | 34.8 (7.8) |
subtype2 | 14 | 28.9 (8.5) |
subtype3 | 11 | 30.6 (8.6) |
P value = 0.73 (Fisher's exact test), Q value = 1
nPatients | STAGE I | STAGE IA | STAGE IB | STAGE II | STAGE IIA | STAGE IIC | STAGE III | STAGE IIIB | STAGE IIIC | STAGE IS |
---|---|---|---|---|---|---|---|---|---|---|
ALL | 5 | 1 | 2 | 3 | 1 | 1 | 2 | 2 | 1 | 13 |
subtype1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 2 |
subtype2 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 7 |
subtype3 | 3 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 4 |
P value = 0.0917 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 15 | 16 |
subtype1 | 3 | 3 |
subtype2 | 4 | 10 |
subtype3 | 8 | 3 |
P value = 0.562 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 13 | 4 |
subtype1 | 1 | 1 |
subtype2 | 7 | 2 |
subtype3 | 5 | 1 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 3 | 28 |
subtype1 | 0 | 6 |
subtype2 | 2 | 12 |
subtype3 | 1 | 10 |
Cluster Labels | 1 | 2 | 3 |
---|---|---|---|
Number of samples | 10 | 11 | 10 |
P value = 0.587 (Kruskal-Wallis (anova)), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 31 | 30.7 (8.4) |
subtype1 | 10 | 32.4 (7.6) |
subtype2 | 11 | 28.7 (9.3) |
subtype3 | 10 | 31.1 (8.6) |
P value = 0.026 (Fisher's exact test), Q value = 1
nPatients | STAGE I | STAGE IA | STAGE IB | STAGE II | STAGE IIA | STAGE IIC | STAGE III | STAGE IIIB | STAGE IIIC | STAGE IS |
---|---|---|---|---|---|---|---|---|---|---|
ALL | 5 | 1 | 2 | 3 | 1 | 1 | 2 | 2 | 1 | 13 |
subtype1 | 5 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 2 |
subtype2 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 6 |
subtype3 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 5 |
P value = 0.243 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 15 | 16 |
subtype1 | 6 | 4 |
subtype2 | 3 | 8 |
subtype3 | 6 | 4 |
P value = 0.788 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 13 | 4 |
subtype1 | 3 | 1 |
subtype2 | 6 | 1 |
subtype3 | 4 | 2 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 3 | 28 |
subtype1 | 1 | 9 |
subtype2 | 1 | 10 |
subtype3 | 1 | 9 |
Cluster Labels | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
Number of samples | 6 | 4 | 2 | 5 | 2 | 8 | 4 |
P value = 0.642 (Kruskal-Wallis (anova)), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 27 | 30.9 (8.8) |
subtype1 | 6 | 34.0 (8.9) |
subtype2 | 4 | 30.0 (5.6) |
subtype4 | 5 | 27.4 (5.9) |
subtype6 | 8 | 29.1 (10.6) |
subtype7 | 4 | 35.2 (11.4) |
P value = 0.397 (Fisher's exact test), Q value = 1
nPatients | STAGE I | STAGE IA | STAGE IB | STAGE II | STAGE IIA | STAGE IIC | STAGE III | STAGE IIIB | STAGE IIIC | STAGE IS |
---|---|---|---|---|---|---|---|---|---|---|
ALL | 5 | 1 | 1 | 3 | 1 | 1 | 2 | 2 | 1 | 10 |
subtype1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
subtype2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
subtype4 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 |
subtype6 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 4 |
subtype7 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
P value = 0.289 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 14 | 13 |
subtype1 | 2 | 4 |
subtype2 | 4 | 0 |
subtype4 | 3 | 2 |
subtype6 | 3 | 5 |
subtype7 | 2 | 2 |
P value = 0.274 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 11 | 4 |
subtype1 | 0 | 1 |
subtype2 | 3 | 0 |
subtype4 | 2 | 2 |
subtype6 | 5 | 1 |
subtype7 | 1 | 0 |
P value = 0.4 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 2 | 25 |
subtype1 | 1 | 5 |
subtype2 | 0 | 4 |
subtype4 | 0 | 5 |
subtype6 | 0 | 8 |
subtype7 | 1 | 3 |
Cluster Labels | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Number of samples | 2 | 4 | 4 | 3 |
P value = 0.349 (Kruskal-Wallis (anova)), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 11 | 31.5 (7.7) |
subtype2 | 4 | 32.5 (7.0) |
subtype3 | 4 | 27.5 (6.6) |
subtype4 | 3 | 35.3 (10.0) |
P value = 0.0399 (Fisher's exact test), Q value = 1
nPatients | STAGE I | STAGE IB | STAGE IIA | STAGE IIC | STAGE IIIC | STAGE IS |
---|---|---|---|---|---|---|
ALL | 1 | 1 | 1 | 1 | 1 | 6 |
subtype2 | 0 | 0 | 0 | 0 | 0 | 4 |
subtype3 | 0 | 0 | 1 | 0 | 1 | 2 |
subtype4 | 1 | 1 | 0 | 1 | 0 | 0 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 4 | 7 |
subtype2 | 1 | 3 |
subtype3 | 2 | 2 |
subtype4 | 1 | 2 |
P value = 0.573 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 5 | 2 |
subtype2 | 3 | 0 |
subtype3 | 1 | 2 |
subtype4 | 1 | 0 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 1 | 10 |
subtype2 | 0 | 4 |
subtype3 | 1 | 3 |
subtype4 | 0 | 3 |
Cluster Labels | 1 | 2 | 3 |
---|---|---|---|
Number of samples | 5 | 4 | 4 |
P value = 0.588 (Kruskal-Wallis (anova)), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 13 | 30.9 (7.4) |
subtype1 | 5 | 32.4 (8.9) |
subtype2 | 4 | 32.5 (7.0) |
subtype3 | 4 | 27.5 (6.6) |
P value = 0.128 (Fisher's exact test), Q value = 1
nPatients | STAGE I | STAGE IB | STAGE IIA | STAGE IIC | STAGE IIIC | STAGE IS |
---|---|---|---|---|---|---|
ALL | 2 | 1 | 1 | 1 | 1 | 7 |
subtype1 | 2 | 1 | 0 | 1 | 0 | 1 |
subtype2 | 0 | 0 | 0 | 0 | 0 | 4 |
subtype3 | 0 | 0 | 1 | 0 | 1 | 2 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 5 | 8 |
subtype1 | 2 | 3 |
subtype2 | 1 | 3 |
subtype3 | 2 | 2 |
P value = 0.569 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 5 | 2 |
subtype1 | 1 | 0 |
subtype2 | 3 | 0 |
subtype3 | 1 | 2 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 2 | 11 |
subtype1 | 1 | 4 |
subtype2 | 0 | 4 |
subtype3 | 1 | 3 |
Cluster Labels | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Number of samples | 2 | 3 | 3 | 5 |
P value = 0.854 (Kruskal-Wallis (anova)), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 11 | 30.2 (6.5) |
subtype2 | 3 | 32.3 (8.5) |
subtype3 | 3 | 30.7 (6.8) |
subtype4 | 5 | 28.6 (6.2) |
P value = 0.543 (Fisher's exact test), Q value = 1
nPatients | STAGE I | STAGE IIA | STAGE IIC | STAGE IIIC | STAGE IS |
---|---|---|---|---|---|
ALL | 1 | 1 | 1 | 1 | 7 |
subtype2 | 0 | 0 | 0 | 0 | 3 |
subtype3 | 1 | 0 | 1 | 0 | 1 |
subtype4 | 0 | 1 | 0 | 1 | 3 |
P value = 0.454 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 4 | 7 |
subtype2 | 0 | 3 |
subtype3 | 1 | 2 |
subtype4 | 3 | 2 |
P value = 0.467 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 4 | 2 |
subtype2 | 2 | 0 |
subtype3 | 0 | 0 |
subtype4 | 2 | 2 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 2 | 9 |
subtype2 | 0 | 3 |
subtype3 | 1 | 2 |
subtype4 | 1 | 4 |
Cluster Labels | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
Number of samples | 1 | 1 | 4 | 3 | 1 | 1 | 2 |
P value = 0.368 (Wilcoxon-test), Q value = 1
nPatients | Mean (Std.Dev) | |
---|---|---|
ALL | 7 | 29.6 (7.2) |
subtype3 | 4 | 32.5 (7.0) |
subtype4 | 3 | 25.7 (6.7) |
P value = 0.141 (Fisher's exact test), Q value = 1
nPatients | STAGE IIA | STAGE IIIC | STAGE IS |
---|---|---|---|
ALL | 1 | 1 | 5 |
subtype3 | 0 | 0 | 4 |
subtype4 | 1 | 1 | 1 |
P value = 1 (Fisher's exact test), Q value = 1
nPatients | T1 | T2+T3 |
---|---|---|
ALL | 2 | 5 |
subtype3 | 1 | 3 |
subtype4 | 1 | 2 |
P value = 0.1 (Fisher's exact test), Q value = 1
nPatients | 0 | 1 |
---|---|---|
ALL | 3 | 2 |
subtype3 | 3 | 0 |
subtype4 | 0 | 2 |
P value = 0.429 (Fisher's exact test), Q value = 1
nPatients | HISPANIC OR LATINO | NOT HISPANIC OR LATINO |
---|---|---|
ALL | 1 | 6 |
subtype3 | 0 | 4 |
subtype4 | 1 | 2 |
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Cluster data file = TGCT-TP.mergedcluster.txt
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Clinical data file = TGCT-TP.merged_data.txt
-
Number of patients = 31
-
Number of clustering approaches = 8
-
Number of selected clinical features = 5
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Exclude small clusters that include fewer than K patients, K = 3
consensus non-negative matrix factorization clustering approach (Brunet et al. 2004)
Resampling-based clustering method (Monti et al. 2003)
For binary clinical features, two-tailed Fisher's exact tests (Fisher 1922) were used to estimate the P values using the 'fisher.test' function in R
For multiple hypothesis correction, Q value is the False Discovery Rate (FDR) analogue of the P value (Benjamini and Hochberg 1995), defined as the minimum FDR at which the test may be called significant. We used the 'Benjamini and Hochberg' method of 'p.adjust' function in R to convert P values into Q values.
In addition to the links below, the full results of the analysis summarized in this report can also be downloaded programmatically using firehose_get, or interactively from either the Broad GDAC website or TCGA Data Coordination Center Portal.