(primary solid tumor cohort)
This pipeline uses various statistical tests to identify mRNAs whose expression levels correlated to selected clinical features.
Testing the association between 17814 genes and 4 clinical features across 527 samples, statistically thresholded by Q value < 0.05, 4 clinical features related to at least one genes.
-
2 genes correlated to 'Time to Death'.
-
RPS26 , PPP1R14D
-
427 genes correlated to 'AGE'.
-
ESR1 , CNTNAP3 , KRT17 , MAGED4B , KLK6 , ...
-
6 genes correlated to 'GENDER'.
-
PI3 , TMEM16C , CACNG1 , RP13-36C9.6 , MAPK4 , ...
-
3 genes correlated to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
-
OR13C4 , TMEM92 , CYP3A5
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=2 | shorter survival | N=2 | longer survival | N=0 |
AGE | Spearman correlation test | N=427 | older | N=205 | younger | N=222 |
GENDER | t test | N=6 | male | N=1 | female | N=5 |
RADIATIONS RADIATION REGIMENINDICATION | t test | N=3 | yes | N=3 | no | N=0 |
Time to Death | Duration (Months) | 0.1-223.4 (median=24.2) |
censored | N = 430 | |
death | N = 65 | |
Significant markers | N = 2 | |
associated with shorter survival | 2 | |
associated with longer survival | 0 |
AGE | Mean (SD) | 57.88 (13) |
Significant markers | N = 427 | |
pos. correlated | 205 | |
neg. correlated | 222 |
SpearmanCorr | corrP | Q | |
---|---|---|---|
ESR1 | 0.4215 | 4.056e-24 | 7.22e-20 |
CNTNAP3 | -0.3002 | 1.939e-12 | 3.45e-08 |
KRT17 | -0.2978 | 2.98e-12 | 5.31e-08 |
MAGED4B | -0.2961 | 4.005e-12 | 7.13e-08 |
KLK6 | -0.293 | 6.874e-12 | 1.22e-07 |
FOXD2 | 0.2923 | 7.731e-12 | 1.38e-07 |
NUDT16 | 0.2903 | 1.079e-11 | 1.92e-07 |
PPP1R14C | -0.2899 | 1.158e-11 | 2.06e-07 |
MGC102966 | -0.2878 | 1.652e-11 | 2.94e-07 |
SYT8 | -0.2875 | 1.736e-11 | 3.09e-07 |
GENDER | Labels | N |
FEMALE | 521 | |
MALE | 6 | |
Significant markers | N = 6 | |
Higher in MALE | 1 | |
Higher in FEMALE | 5 |
T(pos if higher in 'MALE') | ttestP | Q | AUC | |
---|---|---|---|---|
PI3 | -9.27 | 5.072e-11 | 9.03e-07 | 0.7086 |
TMEM16C | -14.25 | 1.281e-10 | 2.28e-06 | 0.9258 |
CACNG1 | 18.37 | 1.822e-08 | 0.000325 | 0.961 |
RP13-36C9.6 | -6.21 | 9.464e-07 | 0.0169 | 0.6638 |
MAPK4 | -9.12 | 1.385e-06 | 0.0247 | 0.802 |
PLA2G3 | -10.63 | 1.726e-06 | 0.0307 | 0.8305 |
3 genes related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N |
NO | 147 | |
YES | 380 | |
Significant markers | N = 3 | |
Higher in YES | 3 | |
Higher in NO | 0 |
-
Expresson data file = BRCA-TP.medianexp.txt
-
Clinical data file = BRCA-TP.clin.merged.picked.txt
-
Number of patients = 527
-
Number of genes = 17814
-
Number of clinical features = 4
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 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.