(primary solid tumor cohort)
This pipeline uses various statistical tests to identify miRs whose expression levels correlated to selected clinical features.
Testing the association between 487 genes and 4 clinical features across 154 samples, statistically thresholded by Q value < 0.05, 1 clinical feature related to at least one genes.
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2 genes correlated to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
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HSA-MIR-449A , HSA-MIR-548O
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No genes correlated to 'AGE', 'COMPLETENESS.OF.RESECTION', and 'NUMBER.OF.LYMPH.NODES'.
Complete statistical result table is provided in Supplement Table 1
Table 1. Get Full Table This table shows the clinical features, statistical methods used, and the number of genes that are significantly associated with each clinical feature at Q value < 0.05.
Clinical feature | Statistical test | Significant genes | Associated with | Associated with | ||
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AGE | Spearman correlation test | N=0 | ||||
RADIATIONS RADIATION REGIMENINDICATION | t test | N=2 | yes | N=2 | no | N=0 |
COMPLETENESS OF RESECTION | ANOVA test | N=0 | ||||
NUMBER OF LYMPH NODES | Spearman correlation test | N=0 |
Table S1. Basic characteristics of clinical feature: 'AGE'
AGE | Mean (SD) | 60.4 (6.9) |
Significant markers | N = 0 |
2 genes related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
Table S2. Basic characteristics of clinical feature: 'RADIATIONS.RADIATION.REGIMENINDICATION'
RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N |
NO | 5 | |
YES | 149 | |
Significant markers | N = 2 | |
Higher in YES | 2 | |
Higher in NO | 0 |
Table S3. Get Full Table List of 2 genes differentially expressed by 'RADIATIONS.RADIATION.REGIMENINDICATION'
T(pos if higher in 'YES') | ttestP | Q | AUC | |
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HSA-MIR-449A | 4.48 | 3.792e-05 | 0.0167 | 0.6234 |
HSA-MIR-548O | 6.96 | 0.0001066 | 0.0468 | 0.7953 |
Figure S1. Get High-res Image As an example, this figure shows the association of HSA-MIR-449A to 'RADIATIONS.RADIATION.REGIMENINDICATION'. P value = 3.79e-05 with T-test analysis.
![](V2ex.png)
Table S4. Basic characteristics of clinical feature: 'COMPLETENESS.OF.RESECTION'
COMPLETENESS.OF.RESECTION | Labels | N |
R0 | 118 | |
R1 | 29 | |
RX | 2 | |
Significant markers | N = 0 |
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Expresson data file = PRAD-TP.miRseq_RPKM_log2.txt
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Clinical data file = PRAD-TP.clin.merged.picked.txt
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Number of patients = 154
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Number of genes = 487
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Number of clinical features = 4
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.