This pipeline uses various statistical tests to identify miRs whose expression levels correlated to selected clinical features.
Testing the association between 555 miRs and 5 clinical features across 471 samples, statistically thresholded by Q value < 0.05, 4 clinical features related to at least one miRs.
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5 miRs correlated to 'Time to Death'.
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HSA-MIR-497 , HSA-LET-7G , HSA-MIR-628 , HSA-MIR-195 , HSA-MIR-34A
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45 miRs correlated to 'AGE'.
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HSA-MIR-424 , HSA-MIR-1247 , HSA-MIR-337 , HSA-MIR-935 , HSA-MIR-199A-1 , ...
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102 miRs correlated to 'HISTOLOGICAL.TYPE'.
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HSA-MIR-9-3 , HSA-MIR-9-2 , HSA-MIR-9-1 , HSA-MIR-934 , HSA-MIR-34A , ...
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9 miRs correlated to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
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HSA-MIR-3613 , HSA-MIR-128-1 , HSA-MIR-128-2 , HSA-MIR-628 , HSA-MIR-107 , ...
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No miRs correlated to 'COMPLETENESS.OF.RESECTION'
Complete statistical result table is provided in Supplement Table 1
Clinical feature | Statistical test | Significant miRs | Associated with | Associated with | ||
---|---|---|---|---|---|---|
Time to Death | Cox regression test | N=5 | shorter survival | N=0 | longer survival | N=5 |
AGE | Spearman correlation test | N=45 | older | N=4 | younger | N=41 |
HISTOLOGICAL TYPE | ANOVA test | N=102 | ||||
RADIATIONS RADIATION REGIMENINDICATION | t test | N=9 | yes | N=6 | no | N=3 |
COMPLETENESS OF RESECTION | ANOVA test | N=0 |
Time to Death | Duration (Months) | 0-191.8 (median=20.9) |
censored | N = 414 | |
death | N = 54 | |
Significant markers | N = 5 | |
associated with shorter survival | 0 | |
associated with longer survival | 5 |
HazardRatio | Wald_P | Q | C_index | |
---|---|---|---|---|
HSA-MIR-497 | 0.66 | 1.066e-05 | 0.0059 | 0.334 |
HSA-LET-7G | 0.51 | 1.425e-05 | 0.0079 | 0.333 |
HSA-MIR-628 | 0.68 | 5.007e-05 | 0.028 | 0.357 |
HSA-MIR-195 | 0.69 | 5.752e-05 | 0.032 | 0.346 |
HSA-MIR-34A | 0.72 | 6.424e-05 | 0.035 | 0.365 |
AGE | Mean (SD) | 63.69 (11) |
Significant markers | N = 45 | |
pos. correlated | 4 | |
neg. correlated | 41 |
SpearmanCorr | corrP | Q | |
---|---|---|---|
HSA-MIR-424 | -0.3239 | 6.121e-13 | 3.4e-10 |
HSA-MIR-1247 | -0.2681 | 4.08e-09 | 2.26e-06 |
HSA-MIR-337 | -0.2474 | 5.501e-08 | 3.04e-05 |
HSA-MIR-935 | 0.2683 | 7.169e-08 | 3.96e-05 |
HSA-MIR-199A-1 | -0.2381 | 1.762e-07 | 9.71e-05 |
HSA-MIR-409 | -0.2355 | 2.422e-07 | 0.000133 |
HSA-MIR-516A-1 | 0.2998 | 2.63e-07 | 0.000144 |
HSA-MIR-214 | -0.2348 | 2.711e-07 | 0.000149 |
HSA-MIR-199A-2 | -0.2343 | 2.787e-07 | 0.000152 |
HSA-MIR-134 | -0.2342 | 2.825e-07 | 0.000154 |
HISTOLOGICAL.TYPE | Labels | N |
ENDOMETRIOID ENDOMETRIAL ADENOCARCINOMA | 363 | |
MIXED SEROUS AND ENDOMETRIOID | 19 | |
SEROUS ENDOMETRIAL ADENOCARCINOMA | 89 | |
Significant markers | N = 102 |
ANOVA_P | Q | |
---|---|---|
HSA-MIR-9-3 | 2.082e-32 | 1.16e-29 |
HSA-MIR-9-2 | 2.824e-29 | 1.56e-26 |
HSA-MIR-9-1 | 3.332e-29 | 1.84e-26 |
HSA-MIR-934 | 3.206e-25 | 1.77e-22 |
HSA-MIR-34A | 1.49e-21 | 8.21e-19 |
HSA-MIR-375 | 7.766e-20 | 4.27e-17 |
HSA-MIR-221 | 4.451e-19 | 2.44e-16 |
HSA-MIR-195 | 4.6e-19 | 2.52e-16 |
HSA-MIR-452 | 1.16e-18 | 6.34e-16 |
HSA-MIR-190B | 2.48e-18 | 1.35e-15 |
9 miRs related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N |
NO | 131 | |
YES | 340 | |
Significant markers | N = 9 | |
Higher in YES | 6 | |
Higher in NO | 3 |
T(pos if higher in 'YES') | ttestP | Q | AUC | |
---|---|---|---|---|
HSA-MIR-3613 | -5.17 | 4.481e-07 | 0.000249 | 0.6534 |
HSA-MIR-128-1 | 4.93 | 1.382e-06 | 0.000766 | 0.64 |
HSA-MIR-128-2 | 4.69 | 4.207e-06 | 0.00233 | 0.6306 |
HSA-MIR-628 | -4.6 | 6.666e-06 | 0.00368 | 0.6289 |
HSA-MIR-107 | 4.57 | 7.194e-06 | 0.00396 | 0.6198 |
HSA-MIR-361 | 4.39 | 1.635e-05 | 0.00899 | 0.6199 |
HSA-MIR-181D | 4.31 | 2.327e-05 | 0.0128 | 0.6287 |
HSA-MIR-146A | -4.16 | 4.37e-05 | 0.0239 | 0.6163 |
HSA-MIR-103-1 | 4.08 | 6.137e-05 | 0.0336 | 0.6187 |
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Expresson data file = UCEC-TP.miRseq_RPKM_log2.txt
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Clinical data file = UCEC-TP.merged_data.txt
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Number of patients = 471
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Number of miRs = 555
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Number of clinical features = 5
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 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.