This pipeline uses various statistical tests to identify mRNAs whose expression levels correlated to selected clinical features.
Testing the association between 23365 genes and 11 clinical features across 274 samples, statistically thresholded by Q value < 0.05, 7 clinical features related to at least one genes.
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5 genes correlated to 'AGE'.
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CXCL1|2919_CALCULATED , SNORD52|26797_CALCULATED , TMEM240|339453_CALCULATED , PEX7|5191_CALCULATED , TMEM132C|92293_CALCULATED
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131 genes correlated to 'NEOPLASM.DISEASESTAGE'.
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FMO2|2327_CALCULATED , MOXD1|26002_CALCULATED , RSPO3|84870_CALCULATED , SERPING1|710_CALCULATED , GNB4|59345_CALCULATED , ...
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484 genes correlated to 'PATHOLOGY.T.STAGE'.
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GNB4|59345_CALCULATED , NEXN|91624_CALCULATED , SNTB2|6645_CALCULATED , PPP1R12A|4659_CALCULATED , KCNE4|23704_CALCULATED , ...
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29 genes correlated to 'GENDER'.
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XIST|7503_CALCULATED , TSIX|9383_CALCULATED , PRKY|5616_CALCULATED , DDX3Y|8653_CALCULATED , ZFY|7544_CALCULATED , ...
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480 genes correlated to 'HISTOLOGICAL.TYPE'.
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GEM|2669_CALCULATED , MFAP5|8076_CALCULATED , TCEAL7|56849_CALCULATED , GYPC|2995_CALCULATED , CLMP|79827_CALCULATED , ...
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53 genes correlated to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
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RNU4ATAC|100151683|2OF8_CALCULATED , JA202363|?_CALCULATED , SNORD61|26787_CALCULATED , 5S_RRNA|?|31OF139_CALCULATED , HSA-MIR-3074-5P|?_CALCULATED , ...
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559 genes correlated to 'COMPLETENESS.OF.RESECTION'.
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METAZOA_SRP|?|38OF109_CALCULATED , MIR3648|100500862_CALCULATED , MIR3960|100616250_CALCULATED , METAZOA_SRP|?|35OF109_CALCULATED , RPPH1|85495_CALCULATED , ...
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No genes correlated to 'Time to Death', 'PATHOLOGY.N.STAGE', 'PATHOLOGY.M.STAGE', and 'NUMBER.OF.LYMPH.NODES'.
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 Q value < 0.05.
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=5 | older | N=3 | younger | N=2 |
NEOPLASM DISEASESTAGE | ANOVA test | N=131 | ||||
PATHOLOGY T STAGE | Spearman correlation test | N=484 | higher stage | N=481 | lower stage | N=3 |
PATHOLOGY N STAGE | Spearman correlation test | N=0 | ||||
PATHOLOGY M STAGE | ANOVA test | N=0 | ||||
GENDER | t test | N=29 | male | N=12 | female | N=17 |
HISTOLOGICAL TYPE | ANOVA test | N=480 | ||||
RADIATIONS RADIATION REGIMENINDICATION | t test | N=53 | yes | N=49 | no | N=4 |
COMPLETENESS OF RESECTION | ANOVA test | N=559 | ||||
NUMBER OF LYMPH NODES | Spearman correlation test | N=0 |
Table S1. Basic characteristics of clinical feature: 'Time to Death'
Time to Death | Duration (Months) | 0.1-105.1 (median=9.2) |
censored | N = 193 | |
death | N = 50 | |
Significant markers | N = 0 |
Table S2. Basic characteristics of clinical feature: 'AGE'
AGE | Mean (SD) | 65.75 (11) |
Significant markers | N = 5 | |
pos. correlated | 3 | |
neg. correlated | 2 |
Table S3. Get Full Table List of 5 genes significantly correlated to 'AGE' by Spearman correlation test
SpearmanCorr | corrP | Q | |
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CXCL1|2919_CALCULATED | 0.3134 | 1.696e-07 | 0.00396 |
SNORD52|26797_CALCULATED | 0.3011 | 6.17e-07 | 0.0144 |
TMEM240|339453_CALCULATED | -0.2971 | 7.632e-07 | 0.0178 |
PEX7|5191_CALCULATED | 0.2936 | 1.047e-06 | 0.0244 |
TMEM132C|92293_CALCULATED | -0.3036 | 1.492e-06 | 0.0349 |
Figure S1. Get High-res Image As an example, this figure shows the association of CXCL1|2919_CALCULATED to 'AGE'. P value = 1.7e-07 with Spearman correlation analysis. The straight line presents the best linear regression.
![](V2ex.png)
Table S4. Basic characteristics of clinical feature: 'NEOPLASM.DISEASESTAGE'
NEOPLASM.DISEASESTAGE | Labels | N |
STAGE I | 2 | |
STAGE IA | 11 | |
STAGE IB | 25 | |
STAGE II | 24 | |
STAGE IIA | 29 | |
STAGE IIB | 42 | |
STAGE III | 3 | |
STAGE IIIA | 40 | |
STAGE IIIB | 31 | |
STAGE IIIC | 25 | |
STAGE IV | 27 | |
Significant markers | N = 131 |
Table S5. Get Full Table List of top 10 genes differentially expressed by 'NEOPLASM.DISEASESTAGE'
ANOVA_P | Q | |
---|---|---|
FMO2|2327_CALCULATED | 7.393e-15 | 1.73e-10 |
MOXD1|26002_CALCULATED | 1.263e-12 | 2.95e-08 |
RSPO3|84870_CALCULATED | 2.918e-12 | 6.82e-08 |
SERPING1|710_CALCULATED | 9.031e-11 | 2.11e-06 |
GNB4|59345_CALCULATED | 3.02e-10 | 7.06e-06 |
PTGER3|5733_CALCULATED | 3.848e-10 | 8.99e-06 |
GREM1|26585_CALCULATED | 9.028e-10 | 2.11e-05 |
ROR2|4920_CALCULATED | 1.212e-09 | 2.83e-05 |
ST6GALNAC5|81849_CALCULATED | 1.483e-09 | 3.46e-05 |
P2RY14|9934_CALCULATED | 1.801e-09 | 4.21e-05 |
Figure S2. Get High-res Image As an example, this figure shows the association of FMO2|2327_CALCULATED to 'NEOPLASM.DISEASESTAGE'. P value = 7.39e-15 with ANOVA analysis.
![](V3ex.png)
Table S6. Basic characteristics of clinical feature: 'PATHOLOGY.T.STAGE'
PATHOLOGY.T.STAGE | Mean (SD) | 2.93 (0.86) |
N | ||
1 | 13 | |
2 | 69 | |
3 | 107 | |
4 | 76 | |
Significant markers | N = 484 | |
pos. correlated | 481 | |
neg. correlated | 3 |
Table S7. Get Full Table List of top 10 genes significantly correlated to 'PATHOLOGY.T.STAGE' by Spearman correlation test
SpearmanCorr | corrP | Q | |
---|---|---|---|
GNB4|59345_CALCULATED | 0.4187 | 1.13e-12 | 2.64e-08 |
NEXN|91624_CALCULATED | 0.4068 | 5.543e-12 | 1.3e-07 |
SNTB2|6645_CALCULATED | 0.4 | 1.329e-11 | 3.1e-07 |
PPP1R12A|4659_CALCULATED | 0.3889 | 5.366e-11 | 1.25e-06 |
KCNE4|23704_CALCULATED | 0.388 | 5.963e-11 | 1.39e-06 |
PLN|5350_CALCULATED | 0.3836 | 1.021e-10 | 2.39e-06 |
SFMBT2|57713_CALCULATED | 0.3822 | 1.204e-10 | 2.81e-06 |
AF268386|?_CALCULATED | 0.3794 | 1.69e-10 | 3.95e-06 |
RYR2|6262_CALCULATED | 0.3756 | 2.649e-10 | 6.19e-06 |
HAND2|9464_CALCULATED | 0.3775 | 2.893e-10 | 6.76e-06 |
Figure S3. Get High-res Image As an example, this figure shows the association of GNB4|59345_CALCULATED to 'PATHOLOGY.T.STAGE'. P value = 1.13e-12 with Spearman correlation analysis.
![](V4ex.png)
Table S8. Basic characteristics of clinical feature: 'PATHOLOGY.N.STAGE'
PATHOLOGY.N.STAGE | Mean (SD) | 1.19 (1.1) |
N | ||
0 | 90 | |
1 | 78 | |
2 | 47 | |
3 | 47 | |
Significant markers | N = 0 |
Table S9. Basic characteristics of clinical feature: 'PATHOLOGY.M.STAGE'
PATHOLOGY.M.STAGE | Labels | N |
M0 | 243 | |
M1 | 18 | |
MX | 13 | |
Significant markers | N = 0 |
Table S10. Basic characteristics of clinical feature: 'GENDER'
GENDER | Labels | N |
FEMALE | 105 | |
MALE | 169 | |
Significant markers | N = 29 | |
Higher in MALE | 12 | |
Higher in FEMALE | 17 |
Table S11. Get Full Table List of top 10 genes differentially expressed by 'GENDER'
T(pos if higher in 'MALE') | ttestP | Q | AUC | |
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XIST|7503_CALCULATED | -33.32 | 3.22e-93 | 7.52e-89 | 0.9706 |
TSIX|9383_CALCULATED | -31.68 | 2.155e-89 | 5.04e-85 | 0.9713 |
PRKY|5616_CALCULATED | 27.86 | 1.042e-51 | 2.44e-47 | 0.984 |
DDX3Y|8653_CALCULATED | 31.96 | 1.044e-47 | 2.44e-43 | 0.9781 |
ZFY|7544_CALCULATED | 28.51 | 2.839e-41 | 6.63e-37 | 0.9797 |
KDM5D|8284_CALCULATED | 28.44 | 2.318e-38 | 5.41e-34 | 0.9817 |
EIF1AY|9086_CALCULATED | 26.44 | 7.196e-37 | 1.68e-32 | 0.9798 |
USP9Y|8287_CALCULATED | 23.8 | 1.977e-30 | 4.62e-26 | 0.9739 |
UTY|7404_CALCULATED | 21.48 | 1.872e-26 | 4.37e-22 | 0.972 |
TXLNG2P|246126_CALCULATED | 20.77 | 1.538e-24 | 3.59e-20 | 0.9735 |
Figure S4. Get High-res Image As an example, this figure shows the association of XIST|7503_CALCULATED to 'GENDER'. P value = 3.22e-93 with T-test analysis.
![](V7ex.png)
Table S12. Basic characteristics of clinical feature: 'HISTOLOGICAL.TYPE'
HISTOLOGICAL.TYPE | Labels | N |
STOMACH ADENOCARCINOMA DIFFUSE TYPE | 51 | |
STOMACH ADENOCARCINOMA NOT OTHERWISE SPECIFIED (NOS) | 131 | |
STOMACH INTESTINAL ADENOCARCINOMA NOT OTHERWISE SPECIFIED (NOS) | 35 | |
STOMACH INTESTINAL ADENOCARCINOMA TUBULAR TYPE | 36 | |
STOMACH INTESTINAL ADENOCARCINOMA MUCINOUS TYPE | 13 | |
STOMACH INTESTINAL ADENOCARCINOMA PAPILLARY TYPE | 5 | |
STOMACH ADENOCARCINOMA SIGNET RING TYPE | 1 | |
Significant markers | N = 480 |
Table S13. Get Full Table List of top 10 genes differentially expressed by 'HISTOLOGICAL.TYPE'
ANOVA_P | Q | |
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GEM|2669_CALCULATED | 5.504e-12 | 1.29e-07 |
MFAP5|8076_CALCULATED | 5.917e-12 | 1.38e-07 |
TCEAL7|56849_CALCULATED | 1.618e-11 | 3.78e-07 |
GYPC|2995_CALCULATED | 1.777e-11 | 4.15e-07 |
CLMP|79827_CALCULATED | 2.901e-11 | 6.78e-07 |
ZFPM2|23414_CALCULATED | 2.91e-11 | 6.8e-07 |
ARHGAP20|57569_CALCULATED | 3.933e-11 | 9.19e-07 |
DCN|1634_CALCULATED | 4.118e-11 | 9.62e-07 |
FRMD6|122786_CALCULATED | 6.558e-11 | 1.53e-06 |
COLEC12|81035_CALCULATED | 1.234e-10 | 2.88e-06 |
Figure S5. Get High-res Image As an example, this figure shows the association of GEM|2669_CALCULATED to 'HISTOLOGICAL.TYPE'. P value = 5.5e-12 with ANOVA analysis.
![](V8ex.png)
53 genes related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.
Table S14. Basic characteristics of clinical feature: 'RADIATIONS.RADIATION.REGIMENINDICATION'
RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N |
NO | 7 | |
YES | 267 | |
Significant markers | N = 53 | |
Higher in YES | 49 | |
Higher in NO | 4 |
Table S15. Get Full Table List of top 10 genes differentially expressed by 'RADIATIONS.RADIATION.REGIMENINDICATION'
T(pos if higher in 'YES') | ttestP | Q | AUC | |
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RNU4ATAC|100151683|2OF8_CALCULATED | 18.43 | 2.784e-42 | 6.25e-38 | 0.9029 |
JA202363|?_CALCULATED | 15.25 | 7.47e-33 | 1.68e-28 | 0.8742 |
SNORD61|26787_CALCULATED | 13.71 | 4.762e-29 | 1.07e-24 | 0.8163 |
5S_RRNA|?|31OF139_CALCULATED | 13.23 | 4.938e-26 | 1.11e-21 | 0.8321 |
HSA-MIR-3074-5P|?_CALCULATED | 12.27 | 7.55e-26 | 1.7e-21 | 0.7632 |
AP1B1P1|23782_CALCULATED | 13.05 | 5.102e-24 | 1.15e-19 | 0.9 |
MIR4326|100422945_CALCULATED | 11.72 | 8.993e-23 | 2.02e-18 | 0.7755 |
DQ586086|?_CALCULATED | 11.7 | 1.6e-22 | 3.59e-18 | 0.7923 |
LOC100507140|100507140_CALCULATED | 11.64 | 2.245e-22 | 5.04e-18 | 0.8169 |
MIR219-1|407002_CALCULATED | 11.3 | 3.363e-22 | 7.55e-18 | 0.7515 |
Figure S6. Get High-res Image As an example, this figure shows the association of RNU4ATAC|100151683|2OF8_CALCULATED to 'RADIATIONS.RADIATION.REGIMENINDICATION'. P value = 2.78e-42 with T-test analysis.
![](V9ex.png)
559 genes related to 'COMPLETENESS.OF.RESECTION'.
Table S16. Basic characteristics of clinical feature: 'COMPLETENESS.OF.RESECTION'
COMPLETENESS.OF.RESECTION | Labels | N |
R0 | 217 | |
R1 | 8 | |
R2 | 10 | |
RX | 22 | |
Significant markers | N = 559 |
Table S17. Get Full Table List of top 10 genes differentially expressed by 'COMPLETENESS.OF.RESECTION'
ANOVA_P | Q | |
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METAZOA_SRP|?|38OF109_CALCULATED | 6.157e-26 | 1.44e-21 |
MIR3648|100500862_CALCULATED | 8.303e-25 | 1.94e-20 |
MIR3960|100616250_CALCULATED | 1.881e-24 | 4.4e-20 |
METAZOA_SRP|?|35OF109_CALCULATED | 2.734e-24 | 6.39e-20 |
RPPH1|85495_CALCULATED | 3.607e-24 | 8.43e-20 |
MIR3687|100500815_CALCULATED | 1.731e-20 | 4.04e-16 |
LOC407835|407835_CALCULATED | 2.683e-20 | 6.27e-16 |
SCARNA2|677766_CALCULATED | 6.407e-20 | 1.5e-15 |
C19ORF68|374920_CALCULATED | 4.928e-19 | 1.15e-14 |
SCARNA17|677769_CALCULATED | 7.93e-19 | 1.85e-14 |
Figure S7. Get High-res Image As an example, this figure shows the association of METAZOA_SRP|?|38OF109_CALCULATED to 'COMPLETENESS.OF.RESECTION'. P value = 6.16e-26 with ANOVA analysis.
![](V10ex.png)
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Expresson data file = STAD-TP.mRNAseq_RPKM_log2.txt
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Clinical data file = STAD-TP.merged_data.txt
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Number of patients = 274
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Number of genes = 23365
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Number of clinical features = 11
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.