This pipeline uses various statistical tests to identify mRNAs whose log2 expression levels correlated to selected clinical features.
Testing the association between 17814 genes and 13 clinical features across 154 samples, statistically thresholded by P value < 0.05 and Q value < 0.3, 4 clinical features related to at least one genes.
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2 genes correlated to 'AGE'.
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GIPC3 , ALS2CR4
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2 genes correlated to 'PATHOLOGY.T.STAGE'.
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NUPL2 , DUSP11
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3 genes correlated to 'GENDER'.
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CYORF15A , JARID1D , CYORF15B
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3 genes correlated to 'KARNOFSKY.PERFORMANCE.SCORE'.
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NFRKB , HEXA , PPP6C
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No genes correlated to 'Time to Death', 'NEOPLASM.DISEASESTAGE', 'PATHOLOGY.N.STAGE', 'PATHOLOGY.M.STAGE', 'HISTOLOGICAL.TYPE', 'NUMBERPACKYEARSSMOKED', 'COMPLETENESS.OF.RESECTION', 'RACE', and 'ETHNICITY'.
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 P value < 0.05 and Q value < 0.3.
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 |
NEOPLASM DISEASESTAGE | Kruskal-Wallis test | N=0 | ||||
PATHOLOGY T STAGE | Spearman correlation test | N=2 | higher stage | N=2 | lower stage | N=0 |
PATHOLOGY N STAGE | Spearman correlation test | N=0 | ||||
PATHOLOGY M STAGE | Wilcoxon test | N=0 | ||||
GENDER | Wilcoxon test | N=3 | male | N=3 | female | N=0 |
KARNOFSKY PERFORMANCE SCORE | Spearman correlation test | N=3 | higher score | N=1 | lower score | N=2 |
HISTOLOGICAL TYPE | Kruskal-Wallis test | N=0 | ||||
NUMBERPACKYEARSSMOKED | Spearman correlation test | N=0 | ||||
COMPLETENESS OF RESECTION | Kruskal-Wallis test | N=0 | ||||
RACE | Kruskal-Wallis test | N=0 | ||||
ETHNICITY | Wilcoxon test | N=0 |
Table S1. Basic characteristics of clinical feature: 'Time to Death'
Time to Death | Duration (Years) | 12-5287 (median=762) |
censored | N = 84 | |
death | N = 63 | |
Significant markers | N = 0 |
Table S2. Basic characteristics of clinical feature: 'AGE'
AGE | Mean (SD) | 66.53 (8.6) |
Significant markers | N = 2 | |
pos. correlated | 1 | |
neg. correlated | 1 |
Table S3. Get Full Table List of 2 genes significantly correlated to 'AGE' by Spearman correlation test
SpearmanCorr | corrP | Q | |
---|---|---|---|
GIPC3 | -0.3508 | 9.371e-06 | 0.167 |
ALS2CR4 | 0.342 | 1.62e-05 | 0.288 |
Table S4. Basic characteristics of clinical feature: 'NEOPLASM.DISEASESTAGE'
NEOPLASM.DISEASESTAGE | Labels | N |
STAGE IA | 20 | |
STAGE IB | 61 | |
STAGE IIA | 7 | |
STAGE IIB | 27 | |
STAGE IIIA | 19 | |
STAGE IIIB | 15 | |
STAGE IV | 4 | |
Significant markers | N = 0 |
Table S5. Basic characteristics of clinical feature: 'PATHOLOGY.T.STAGE'
PATHOLOGY.T.STAGE | Mean (SD) | 2.04 (0.77) |
N | ||
1 | 30 | |
2 | 100 | |
3 | 12 | |
4 | 12 | |
Significant markers | N = 2 | |
pos. correlated | 2 | |
neg. correlated | 0 |
Table S6. Get Full Table List of 2 genes significantly correlated to 'PATHOLOGY.T.STAGE' by Spearman correlation test
SpearmanCorr | corrP | Q | |
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NUPL2 | 0.3465 | 1.069e-05 | 0.19 |
DUSP11 | 0.3425 | 1.371e-05 | 0.244 |
Table S7. Basic characteristics of clinical feature: 'PATHOLOGY.N.STAGE'
PATHOLOGY.N.STAGE | Mean (SD) | 0.53 (0.79) |
N | ||
0 | 96 | |
1 | 40 | |
2 | 13 | |
3 | 5 | |
Significant markers | N = 0 |
Table S8. Basic characteristics of clinical feature: 'PATHOLOGY.M.STAGE'
PATHOLOGY.M.STAGE | Labels | N |
M0 | 146 | |
M1 | 4 | |
Significant markers | N = 0 |
Table S9. Basic characteristics of clinical feature: 'GENDER'
GENDER | Labels | N |
FEMALE | 44 | |
MALE | 110 | |
Significant markers | N = 3 | |
Higher in MALE | 3 | |
Higher in FEMALE | 0 |
Table S10. Get Full Table List of 3 genes differentially expressed by 'GENDER'. 11 significant gene(s) located in sex chromosomes is(are) filtered out.
W(pos if higher in 'MALE') | wilcoxontestP | Q | AUC | |
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CYORF15A | 4796 | 2.084e-21 | 3.71e-17 | 0.9909 |
JARID1D | 4755 | 9.933e-21 | 1.77e-16 | 0.9824 |
CYORF15B | 4582 | 5.388e-18 | 9.59e-14 | 0.9467 |
3 genes related to 'KARNOFSKY.PERFORMANCE.SCORE'.
Table S11. Basic characteristics of clinical feature: 'KARNOFSKY.PERFORMANCE.SCORE'
KARNOFSKY.PERFORMANCE.SCORE | Mean (SD) | 24.23 (38) |
Score | N | |
0 | 18 | |
50 | 2 | |
70 | 1 | |
90 | 4 | |
100 | 1 | |
Significant markers | N = 3 | |
pos. correlated | 1 | |
neg. correlated | 2 |
Table S13. Basic characteristics of clinical feature: 'HISTOLOGICAL.TYPE'
HISTOLOGICAL.TYPE | Labels | N |
LUNG BASALOID SQUAMOUS CELL CARCINOMA | 5 | |
LUNG PAPILLARY SQUAMOUS CELL CARICNOMA | 1 | |
LUNG SQUAMOUS CELL CARCINOMA- NOT OTHERWISE SPECIFIED (NOS) | 148 | |
Significant markers | N = 0 |
Table S14. Basic characteristics of clinical feature: 'NUMBERPACKYEARSSMOKED'
NUMBERPACKYEARSSMOKED | Mean (SD) | 54.83 (36) |
Significant markers | N = 0 |
Table S15. Basic characteristics of clinical feature: 'COMPLETENESS.OF.RESECTION'
COMPLETENESS.OF.RESECTION | Labels | N |
R0 | 139 | |
R1 | 3 | |
R2 | 2 | |
RX | 5 | |
Significant markers | N = 0 |
Table S16. Basic characteristics of clinical feature: 'RACE'
RACE | Labels | N |
ASIAN | 3 | |
BLACK OR AFRICAN AMERICAN | 7 | |
WHITE | 91 | |
Significant markers | N = 0 |
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Expresson data file = LUSC-TP.medianexp.txt
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Clinical data file = LUSC-TP.merged_data.txt
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Number of patients = 154
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Number of genes = 17814
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Number of clinical features = 13
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.