This pipeline uses various statistical tests to identify genes whose promoter methylation levels correlated to selected clinical features.
Testing the association between 19761 genes and 10 clinical features across 66 samples, statistically thresholded by P value < 0.05 and Q value < 0.3, 3 clinical features related to at least one genes.
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1 gene correlated to 'PATHOLOGY.T.STAGE'.
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LRPAP1
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2 genes correlated to 'GENDER'.
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ALG11__2 , UTP14C
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4 genes correlated to 'NUMBERPACKYEARSSMOKED'.
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GRHL1 , LOC100133669 , LY6E , LOC729020
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No genes correlated to 'AGE', 'NEOPLASM.DISEASESTAGE', 'PATHOLOGY.N.STAGE', 'PATHOLOGY.M.STAGE', 'KARNOFSKY.PERFORMANCE.SCORE', 'RACE', and 'ETHNICITY'.
Complete statistical result table is provided in Supplement Table 1
Clinical feature | Statistical test | Significant genes | Associated with | Associated with | ||
---|---|---|---|---|---|---|
AGE | Spearman correlation test | N=0 | ||||
NEOPLASM DISEASESTAGE | Kruskal-Wallis test | N=0 | ||||
PATHOLOGY T STAGE | Spearman correlation test | N=1 | higher stage | N=1 | lower stage | N=0 |
PATHOLOGY N STAGE | Spearman correlation test | N=0 | ||||
PATHOLOGY M STAGE | Kruskal-Wallis test | N=0 | ||||
GENDER | Wilcoxon test | N=2 | male | N=2 | female | N=0 |
KARNOFSKY PERFORMANCE SCORE | Spearman correlation test | N=0 | ||||
NUMBERPACKYEARSSMOKED | Spearman correlation test | N=4 | higher numberpackyearssmoked | N=4 | lower numberpackyearssmoked | N=0 |
RACE | Kruskal-Wallis test | N=0 | ||||
ETHNICITY | Wilcoxon test | N=0 |
AGE | Mean (SD) | 51.52 (14) |
Significant markers | N = 0 |
NEOPLASM.DISEASESTAGE | Labels | N |
STAGE I | 21 | |
STAGE II | 25 | |
STAGE III | 14 | |
STAGE IV | 6 | |
Significant markers | N = 0 |
PATHOLOGY.T.STAGE | Mean (SD) | 2.02 (0.85) |
N | ||
1 | 21 | |
2 | 25 | |
3 | 18 | |
4 | 2 | |
Significant markers | N = 1 | |
pos. correlated | 1 | |
neg. correlated | 0 |
PATHOLOGY.N.STAGE | Mean (SD) | 0.16 (0.47) |
N | ||
0 | 40 | |
1 | 3 | |
2 | 2 | |
Significant markers | N = 0 |
PATHOLOGY.M.STAGE | Labels | N |
M0 | 34 | |
M1 | 2 | |
MX | 9 | |
Significant markers | N = 0 |
GENDER | Labels | N |
FEMALE | 27 | |
MALE | 39 | |
Significant markers | N = 2 | |
Higher in MALE | 2 | |
Higher in FEMALE | 0 |
No gene related to 'KARNOFSKY.PERFORMANCE.SCORE'.
KARNOFSKY.PERFORMANCE.SCORE | Mean (SD) | 89.09 (9.4) |
Score | N | |
70 | 1 | |
80 | 2 | |
90 | 5 | |
100 | 3 | |
Significant markers | N = 0 |
NUMBERPACKYEARSSMOKED | Mean (SD) | 25.09 (22) |
Significant markers | N = 4 | |
pos. correlated | 4 | |
neg. correlated | 0 |
RACE | Labels | N |
ASIAN | 2 | |
BLACK OR AFRICAN AMERICAN | 4 | |
WHITE | 58 | |
Significant markers | N = 0 |
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Expresson data file = KICH-TP.meth.by_min_clin_corr.data.txt
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Clinical data file = KICH-TP.merged_data.txt
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Number of patients = 66
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Number of genes = 19761
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Number of clinical features = 10
For continuous numerical clinical features, Spearman's rank correlation coefficients (Spearman 1904) and two-tailed P values were estimated using 'cor.test' function in R
For multi-class clinical features (ordinal or nominal), one-way analysis of variance (Howell 2002) was applied to compare the log2-expression levels between different clinical classes using 'anova' function in R
For two-class clinical features, two-tailed Student's t test with unequal variance (Lehmann and Romano 2005) was applied to compare the log2-expression levels between the two clinical classes using 't.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.