This pipeline uses various statistical tests to identify mRNAs whose expression levels correlated to selected clinical features.
Testing the association between 17814 genes and 9 clinical features across 526 samples, statistically thresholded by Q value < 0.05, 9 clinical features related to at least one genes.
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2 genes correlated to 'Time to Death'.
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RPS26 , PPP1R14D
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393 genes correlated to 'AGE'.
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ESR1 , CNTNAP3 , MAGED4B , KRT17 , KLK6 , ...
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5 genes correlated to 'GENDER'.
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TMEM16C , CACNG1 , MAPK4 , GSTA2 , P11
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184 genes correlated to 'HISTOLOGICAL.TYPE'.
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CDH1 , NRAP , MGC32805 , MAGEC3 , OR8D4 , ...
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1 gene correlated to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
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OR13C4
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1 gene correlated to 'DISTANT.METASTASIS'.
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GBF1
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10 genes correlated to 'LYMPH.NODE.METASTASIS'.
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PIK3CA , KCNMB2 , GUCA2A , ARID1B , AMTN , ...
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1 gene correlated to 'NUMBER.OF.LYMPH.NODES'.
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CSDE1
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24 genes correlated to 'NEOPLASM.DISEASESTAGE'.
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NGFB , OR1M1 , PRKACG , OR6K3 , C20ORF71 , ...
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=393 | older | N=129 | younger | N=264 |
GENDER | t test | N=5 | male | N=1 | female | N=4 |
HISTOLOGICAL TYPE | ANOVA test | N=184 | ||||
RADIATIONS RADIATION REGIMENINDICATION | t test | N=1 | yes | N=1 | no | N=0 |
DISTANT METASTASIS | ANOVA test | N=1 | ||||
LYMPH NODE METASTASIS | ANOVA test | N=10 | ||||
NUMBER OF LYMPH NODES | Spearman correlation test | N=1 | higher number.of.lymph.nodes | N=0 | lower number.of.lymph.nodes | N=1 |
NEOPLASM DISEASESTAGE | ANOVA test | N=24 |
Time to Death | Duration (Months) | 0.1-223.4 (median=24.2) |
censored | N = 429 | |
death | N = 65 | |
Significant markers | N = 2 | |
associated with shorter survival | 2 | |
associated with longer survival | 0 |
AGE | Mean (SD) | 57.92 (13) |
Significant markers | N = 393 | |
pos. correlated | 129 | |
neg. correlated | 264 |
SpearmanCorr | corrP | Q | |
---|---|---|---|
ESR1 | 0.4217 | 4.262e-24 | 7.59e-20 |
CNTNAP3 | -0.302 | 1.478e-12 | 2.63e-08 |
MAGED4B | -0.301 | 1.763e-12 | 3.14e-08 |
KRT17 | -0.2966 | 3.843e-12 | 6.84e-08 |
KLK6 | -0.2908 | 1.035e-11 | 1.84e-07 |
GJB3 | -0.288 | 1.66e-11 | 2.96e-07 |
PPP1R14C | -0.288 | 1.679e-11 | 2.99e-07 |
C20ORF42 | -0.2874 | 1.831e-11 | 3.26e-07 |
SOSTDC1 | -0.2862 | 2.256e-11 | 4.02e-07 |
SYT8 | -0.2858 | 2.387e-11 | 4.25e-07 |
GENDER | Labels | N |
FEMALE | 520 | |
MALE | 6 | |
Significant markers | N = 5 | |
Higher in MALE | 1 | |
Higher in FEMALE | 4 |
T(pos if higher in 'MALE') | ttestP | Q | AUC | |
---|---|---|---|---|
TMEM16C | -16.03 | 1.122e-14 | 2e-10 | 0.9324 |
CACNG1 | 20.22 | 7.307e-10 | 1.3e-05 | 0.9625 |
MAPK4 | -11.19 | 1.03e-09 | 1.83e-05 | 0.8146 |
GSTA2 | -11.42 | 5.015e-07 | 0.00893 | 0.8657 |
P11 | -7.66 | 6.366e-07 | 0.0113 | 0.6862 |
HISTOLOGICAL.TYPE | Labels | N |
INFILTRATING DUCTAL CARCINOMA | 449 | |
INFILTRATING LOBULAR CARCINOMA | 41 | |
MEDULLARY CARCINOMA | 1 | |
MIXED HISTOLOGY (PLEASE SPECIFY) | 11 | |
MUCINOUS CARCINOMA | 2 | |
OTHER SPECIFY | 22 | |
Significant markers | N = 184 |
ANOVA_P | Q | |
---|---|---|
CDH1 | 8.624e-44 | 1.54e-39 |
NRAP | 4.396e-13 | 7.83e-09 |
MGC32805 | 2.321e-12 | 4.13e-08 |
MAGEC3 | 5.313e-12 | 9.46e-08 |
OR8D4 | 3.131e-11 | 5.58e-07 |
ADAD1 | 1.624e-10 | 2.89e-06 |
GLTSCR2 | 1.988e-10 | 3.54e-06 |
PPIL1 | 2.802e-10 | 4.99e-06 |
C15ORF2 | 3.611e-10 | 6.43e-06 |
IL17F | 4.904e-10 | 8.73e-06 |
One gene related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N |
NO | 148 | |
YES | 378 | |
Significant markers | N = 1 | |
Higher in YES | 1 | |
Higher in NO | 0 |
T(pos if higher in 'YES') | ttestP | Q | AUC | |
---|---|---|---|---|
OR13C4 | 5.14 | 5.471e-07 | 0.00975 | 0.6324 |
DISTANT.METASTASIS | Labels | N |
CM0 (I+) | 2 | |
M0 | 496 | |
M1 | 14 | |
MX | 14 | |
Significant markers | N = 1 |
LYMPH.NODE.METASTASIS | Labels | N |
N0 | 138 | |
N0 (I+) | 16 | |
N0 (I-) | 101 | |
N1 | 58 | |
N1A | 77 | |
N1B | 20 | |
N1C | 2 | |
N1MI | 13 | |
N2 | 32 | |
N2A | 29 | |
N3 | 10 | |
N3A | 18 | |
N3C | 1 | |
NX | 11 | |
Significant markers | N = 10 |
ANOVA_P | Q | |
---|---|---|
PIK3CA | 1.949e-23 | 3.47e-19 |
KCNMB2 | 1.488e-18 | 2.65e-14 |
GUCA2A | 3.424e-14 | 6.1e-10 |
ARID1B | 7.723e-08 | 0.00138 |
AMTN | 1.016e-07 | 0.00181 |
PDS5A | 1.786e-07 | 0.00318 |
REG1B | 1.872e-07 | 0.00333 |
SULT1B1 | 3.372e-07 | 0.006 |
C16ORF44 | 8.574e-07 | 0.0153 |
H1FNT | 2.519e-06 | 0.0449 |
NUMBER.OF.LYMPH.NODES | Mean (SD) | 1.83 (3.5) |
Significant markers | N = 1 | |
pos. correlated | 0 | |
neg. correlated | 1 |
SpearmanCorr | corrP | Q | |
---|---|---|---|
CSDE1 | -0.2306 | 2.646e-06 | 0.0471 |
NEOPLASM.DISEASESTAGE | Labels | N |
STAGE I | 42 | |
STAGE IA | 41 | |
STAGE IB | 6 | |
STAGE IIA | 185 | |
STAGE IIB | 110 | |
STAGE IIIA | 77 | |
STAGE IIIB | 15 | |
STAGE IIIC | 19 | |
STAGE IV | 14 | |
STAGE TIS | 1 | |
STAGE X | 16 | |
Significant markers | N = 24 |
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Expresson data file = BRCA-TP.medianexp.txt
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Clinical data file = BRCA-TP.clin.merged.picked.txt
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Number of patients = 526
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Number of genes = 17814
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Number of clinical features = 9
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.