This pipeline uses various statistical tests to identify mRNAs whose expression levels correlated to selected clinical features.
Testing the association between 18196 genes and 9 clinical features across 146 samples, statistically thresholded by Q value < 0.05, 4 clinical features related to at least one genes.
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2 genes correlated to 'AGE'.
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NXNL2|158046 , RRAGD|58528
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1 gene correlated to 'PATHOLOGY.N.STAGE'.
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ART3|419
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22 genes correlated to 'PATHOLOGY.M.STAGE'.
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ARF1|375 , ELP3|55140 , HOXA4|3201 , FERMT1|55612 , CBX3|11335 , ...
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1331 genes correlated to 'HISTOLOGICAL.TYPE'.
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TP63|8626 , GPR87|53836 , DNALI1|7802 , CLCA2|9635 , HNF1A|6927 , ...
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No genes correlated to 'Time to Death', 'PATHOLOGY.T.STAGE', 'RADIATIONS.RADIATION.REGIMENINDICATION', 'NUMBERPACKYEARSSMOKED', and 'NUMBER.OF.LYMPH.NODES'.
Complete statistical result table is provided in Supplement Table 1
Clinical feature | Statistical test | Significant genes | Associated with | Associated with | ||
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Time to Death | Cox regression test | N=0 | ||||
AGE | Spearman correlation test | N=2 | older | N=1 | younger | N=1 |
PATHOLOGY T STAGE | Spearman correlation test | N=0 | ||||
PATHOLOGY N STAGE | t test | N=1 | class1 | N=0 | class0 | N=1 |
PATHOLOGY M STAGE | ANOVA test | N=22 | ||||
HISTOLOGICAL TYPE | ANOVA test | N=1331 | ||||
RADIATIONS RADIATION REGIMENINDICATION | t test | N=0 | ||||
NUMBERPACKYEARSSMOKED | Spearman correlation test | N=0 | ||||
NUMBER OF LYMPH NODES | Spearman correlation test | N=0 |
Time to Death | Duration (Months) | 0-177 (median=12.7) |
censored | N = 115 | |
death | N = 24 | |
Significant markers | N = 0 |
AGE | Mean (SD) | 47.52 (13) |
Significant markers | N = 2 | |
pos. correlated | 1 | |
neg. correlated | 1 |
SpearmanCorr | corrP | Q | |
---|---|---|---|
NXNL2|158046 | -0.4137 | 6.141e-07 | 0.0112 |
RRAGD|58528 | 0.379 | 2.589e-06 | 0.0471 |
PATHOLOGY.T.STAGE | Mean (SD) | 1.32 (0.56) |
N | ||
1 | 79 | |
2 | 29 | |
3 | 2 | |
4 | 1 | |
Significant markers | N = 0 |
PATHOLOGY.N.STAGE | Labels | N |
class0 | 71 | |
class1 | 36 | |
Significant markers | N = 1 | |
Higher in class1 | 0 | |
Higher in class0 | 1 |
T(pos if higher in 'class1') | ttestP | Q | AUC | |
---|---|---|---|---|
ART3|419 | -5.06 | 2.703e-06 | 0.0492 | 0.7683 |
PATHOLOGY.M.STAGE | Labels | N |
M0 | 62 | |
M1 | 3 | |
MX | 50 | |
Significant markers | N = 22 |
ANOVA_P | Q | |
---|---|---|
ARF1|375 | 3.524e-10 | 6.41e-06 |
ELP3|55140 | 7.643e-10 | 1.39e-05 |
HOXA4|3201 | 9.333e-10 | 1.7e-05 |
FERMT1|55612 | 2.409e-09 | 4.38e-05 |
CBX3|11335 | 2.653e-09 | 4.83e-05 |
PKD1L3|342372 | 2.241e-08 | 0.000408 |
PZP|5858 | 1.307e-07 | 0.00238 |
TRIM29|23650 | 1.367e-07 | 0.00249 |
MC4R|4160 | 2.665e-07 | 0.00485 |
SSR2|6746 | 2.776e-07 | 0.00505 |
HISTOLOGICAL.TYPE | Labels | N |
ADENOSQUAMOUS | 1 | |
CERVICAL SQUAMOUS CELL CARCINOMA | 122 | |
ENDOCERVICAL ADENOCARCINOMA OF THE USUAL TYPE | 4 | |
ENDOCERVICAL TYPE OF ADENOCARCINOMA | 15 | |
ENDOMETRIOID ADENOCARCINOMA OF ENDOCERVIX | 1 | |
MUCINOUS ADENOCARCINOMA OF ENDOCERVICAL TYPE | 3 | |
Significant markers | N = 1331 |
ANOVA_P | Q | |
---|---|---|
TP63|8626 | 1.757e-36 | 3.2e-32 |
GPR87|53836 | 4.724e-32 | 8.59e-28 |
DNALI1|7802 | 4.82e-28 | 8.77e-24 |
CLCA2|9635 | 1.006e-26 | 1.83e-22 |
HNF1A|6927 | 1.248e-26 | 2.27e-22 |
LOC642587|642587 | 3.698e-25 | 6.73e-21 |
PKP1|5317 | 3.7e-25 | 6.73e-21 |
GPR109A|338442 | 7.438e-25 | 1.35e-20 |
CALML3|810 | 8.36e-25 | 1.52e-20 |
HOXD11|3237 | 1.239e-24 | 2.25e-20 |
No gene related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N |
NO | 28 | |
YES | 118 | |
Significant markers | N = 0 |
NUMBERPACKYEARSSMOKED | Mean (SD) | 18.83 (11) |
Significant markers | N = 0 |
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Expresson data file = CESC-TP.uncv2.mRNAseq_RSEM_normalized_log2.txt
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Clinical data file = CESC-TP.merged_data.txt
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Number of patients = 146
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Number of genes = 18196
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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.
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.