This pipeline uses various statistical tests to identify genes whose promoter methylation levels correlated to selected clinical features.
Testing the association between 16950 genes and 7 clinical features across 30 samples, statistically thresholded by Q value < 0.05, 4 clinical features related to at least one genes.
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1 gene correlated to 'AGE'.
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HGF
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7 genes correlated to 'DISTANT.METASTASIS'.
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SCYL3 , C5ORF42 , ZNF540 , GOLGA7 , TBC1D15 , ...
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8 genes correlated to 'COMPLETENESS.OF.RESECTION'.
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SCYL3 , C5ORF42 , ZNF540 , PRPF39 , TBC1D15 , ...
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62 genes correlated to 'NEOPLASM.DISEASESTAGE'.
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C3ORF31 , DGCR5 , SP110 , EFR3B , DDX60L , ...
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No genes correlated to 'Time to Death', 'GENDER', and 'LYMPH.NODE.METASTASIS'.
Complete statistical result table is provided in Supplement Table 1
Clinical feature | Statistical test | Significant genes | Associated with | Associated with | ||
---|---|---|---|---|---|---|
Time to Death | Cox regression test | N=0 | ||||
AGE | Spearman correlation test | N=1 | older | N=0 | younger | N=1 |
GENDER | t test | N=0 | ||||
DISTANT METASTASIS | ANOVA test | N=7 | ||||
LYMPH NODE METASTASIS | t test | N=0 | ||||
COMPLETENESS OF RESECTION | ANOVA test | N=8 | ||||
NEOPLASM DISEASESTAGE | ANOVA test | N=62 |
Time to Death | Duration (Months) | 0.1-83.6 (median=16.7) |
censored | N = 11 | |
death | N = 15 | |
Significant markers | N = 0 |
AGE | Mean (SD) | 57.89 (18) |
Significant markers | N = 1 | |
pos. correlated | 0 | |
neg. correlated | 1 |
SpearmanCorr | corrP | Q | |
---|---|---|---|
HGF | -0.7726 | 2.337e-06 | 0.0396 |
GENDER | Labels | N |
FEMALE | 8 | |
MALE | 22 | |
Significant markers | N = 0 |
DISTANT.METASTASIS | Labels | N |
M0 | 21 | |
M1 | 1 | |
MX | 8 | |
Significant markers | N = 7 |
ANOVA_P | Q | |
---|---|---|
SCYL3 | 1.662e-19 | 2.82e-15 |
C5ORF42 | 9.327e-15 | 1.58e-10 |
ZNF540 | 6.979e-10 | 1.18e-05 |
GOLGA7 | 2.051e-08 | 0.000348 |
TBC1D15 | 4.501e-08 | 0.000763 |
MRPL11 | 1.356e-07 | 0.0023 |
NPIPL3 | 7.932e-07 | 0.0134 |
LYMPH.NODE.METASTASIS | Labels | N |
N0 | 22 | |
NX | 7 | |
Significant markers | N = 0 |
COMPLETENESS.OF.RESECTION | Labels | N |
R0 | 18 | |
R1 | 3 | |
R2 | 1 | |
RX | 6 | |
Significant markers | N = 8 |
ANOVA_P | Q | |
---|---|---|
SCYL3 | 8.427e-17 | 1.43e-12 |
C5ORF42 | 6.407e-13 | 1.09e-08 |
ZNF540 | 3.613e-10 | 6.12e-06 |
PRPF39 | 2.311e-07 | 0.00392 |
TBC1D15 | 3.215e-07 | 0.00545 |
GOLGA7 | 4.365e-07 | 0.0074 |
LSR | 1.293e-06 | 0.0219 |
MRPL11 | 2.865e-06 | 0.0485 |
NEOPLASM.DISEASESTAGE | Labels | N |
STAGE I | 10 | |
STAGE II | 5 | |
STAGE III | 2 | |
STAGE IIIA | 5 | |
STAGE IIIB | 1 | |
STAGE IVB | 1 | |
Significant markers | N = 62 |
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Expresson data file = LIHC-TP.meth.for_correlation.filtered_data.txt
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Clinical data file = LIHC-TP.clin.merged.picked.txt
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Number of patients = 30
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Number of genes = 16950
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Number of clinical features = 7
For survival clinical features, Wald's test in univariate Cox regression analysis with proportional hazards model (Andersen and Gill 1982) was used to estimate the P values using the 'coxph' function in R. Kaplan-Meier survival curves were plot using the four quartile subgroups of patients based on expression levels
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 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 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 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.
This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.