Colon/Rectal Adenocarcinoma: Correlation between RPPA expression and clinical features
(primary solid tumor cohort)
Maintained by Juok Cho (Broad Institute)
Overview
Introduction

This pipeline uses various statistical tests to identify RPPAs whose expression levels correlated to selected clinical features.

Summary

Testing the association between 171 genes and 10 clinical features across 399 samples, statistically thresholded by Q value < 0.05, 5 clinical features related to at least one genes.

- 72 genes correlated to 'PRIMARY.SITE.OF.DISEASE'.

- CHEK1|CHK1_PS345-R-C , BCL2|BCL-2-R-NA , BECN1|BECLIN-G-V , STK11|LKB1-M-NA , MRE11A|MRE11-R-C , ...

- 59 genes correlated to 'HISTOLOGICAL.TYPE'.

- CHEK1|CHK1_PS345-R-C , MRE11A|MRE11-R-C , STK11|LKB1-M-NA , ERBB3|HER3_PY1298-R-C , RAD51|RAD51-M-C , ...

- 1 gene correlated to 'PATHOLOGY.T'.

- ERRFI1|MIG-6-M-V

- 8 genes correlated to 'PATHOLOGY.N'.

- EIF4E|EIF4E-R-V , MYC|C-MYC-R-C , GAB2|GAB2-R-V , CASP7|CASPASE-7_CLEAVEDD198-R-C , MAPK14|P38_MAPK-R-C , ...

- 7 genes correlated to 'TUMOR.STAGE'.

- GAB2|GAB2-R-V , IRS1|IRS1-R-V , CCNE1|CYCLIN_E1-M-V , MAPK14|P38_MAPK-R-C , EIF4E|EIF4E-R-V , ...

- No genes correlated to 'Time to Death', 'AGE', 'GENDER', 'PATHOLOGICSPREAD(M)', and 'RADIATIONS.RADIATION.REGIMENINDICATION'.

Results
Overview of the results

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 |
--- | --- | --- | --- | --- | --- | ---
Time to Death | Cox regression test | N=0 |  |  |  |
AGE | Spearman correlation test | N=0 |  |  |  |
PRIMARY SITE OF DISEASE | t test | N=72 | rectum | N=0 | colon | N=72
GENDER | t test | N=0 |  |  |  |
HISTOLOGICAL TYPE | ANOVA test | N=59 |  |  |  |
PATHOLOGY T | Spearman correlation test | N=1 | higher pT | N=1 | lower pT | N=0
PATHOLOGY N | Spearman correlation test | N=8 | higher pN | N=4 | lower pN | N=4
PATHOLOGICSPREAD(M) | ANOVA test | N=0 |  |  |  |
TUMOR STAGE | Spearman correlation test | N=7 | higher stage | N=3 | lower stage | N=4
RADIATIONS RADIATION REGIMENINDICATION | t test | N=0 |  |  |  |

Clinical variable #1: 'Time to Death'

No gene related to 'Time to Death'.

Table S1. Basic characteristics of clinical feature: 'Time to Death'

Time to Death | Duration (Months) | 0.1-121.1 (median=6)
| censored | N = 278
| death | N = 30
| Significant markers | N = 0

Clinical variable #2: 'AGE'

No gene related to 'AGE'.

Table S2. Basic characteristics of clinical feature: 'AGE'

AGE | Mean (SD) | 66.25 (13)
| Significant markers | N = 0

Clinical variable #3: 'PRIMARY.SITE.OF.DISEASE'

72 genes related to 'PRIMARY.SITE.OF.DISEASE'.

Table S3. Basic characteristics of clinical feature: 'PRIMARY.SITE.OF.DISEASE'

PRIMARY.SITE.OF.DISEASE | Labels | N
| COLON | 269
| RECTUM | 130
| Significant markers | N = 72
| Higher in RECTUM | 0
| Higher in COLON | 72

List of top 10 genes differentially expressed by 'PRIMARY.SITE.OF.DISEASE'

Table S4. Get Full Table List of top 10 genes differentially expressed by 'PRIMARY.SITE.OF.DISEASE'

| T(pos if higher in 'RECTUM') | ttestP | Q | AUC
--- | --- | --- | --- | ---
CHEK1|CHK1_PS345-R-C | -10.22 | 2.183e-21 | 3.73e-19 | 0.7856
BCL2|BCL-2-R-NA | -8.2 | 3.485e-15 | 5.92e-13 | 0.7344
BECN1|BECLIN-G-V | -8.27 | 3.832e-15 | 6.48e-13 | 0.7405
STK11|LKB1-M-NA | -8.23 | 8.774e-15 | 1.47e-12 | 0.7444
MRE11A|MRE11-R-C | -8 | 3.144e-14 | 5.25e-12 | 0.7494
BID|BID-R-C | -7.95 | 3.71e-14 | 6.16e-12 | 0.7238
RAD51|RAD51-M-C | -7.94 | 6.061e-14 | 1e-11 | 0.7293
CDKN1B|P27_PT157-R-C | -7.62 | 2.183e-13 | 3.58e-11 | 0.7401
BIRC2|CIAP-R-V | -7.38 | 1.242e-12 | 2.03e-10 | 0.7211
XIAP|XIAP-R-C | -7.14 | 7.44e-12 | 1.21e-09 | 0.7111

Figure S1. Get High-res Image As an example, this figure shows the association of CHEK1|CHK1_PS345-R-C to 'PRIMARY.SITE.OF.DISEASE'. P value = 2.18e-21 with T-test analysis.

Clinical variable #4: 'GENDER'

No gene related to 'GENDER'.

Table S5. Basic characteristics of clinical feature: 'GENDER'

GENDER | Labels | N
| FEMALE | 187
| MALE | 212
| Significant markers | N = 0

Clinical variable #5: 'HISTOLOGICAL.TYPE'

59 genes related to 'HISTOLOGICAL.TYPE'.

Table S6. Basic characteristics of clinical feature: 'HISTOLOGICAL.TYPE'

HISTOLOGICAL.TYPE | Labels | N
| COLON ADENOCARCINOMA | 238
| COLON MUCINOUS ADENOCARCINOMA | 30
| RECTAL ADENOCARCINOMA | 117
| RECTAL MUCINOUS ADENOCARCINOMA | 10
| Significant markers | N = 59

List of top 10 genes differentially expressed by 'HISTOLOGICAL.TYPE'

Table S7. Get Full Table List of top 10 genes differentially expressed by 'HISTOLOGICAL.TYPE'

| ANOVA_P | Q
--- | --- | ---
CHEK1|CHK1_PS345-R-C | 1.94e-17 | 3.32e-15
MRE11A|MRE11-R-C | 2.87e-14 | 4.88e-12
STK11|LKB1-M-NA | 4.613e-14 | 7.8e-12
ERBB3|HER3_PY1298-R-C | 6.278e-13 | 1.05e-10
RAD51|RAD51-M-C | 1.324e-12 | 2.21e-10
BID|BID-R-C | 1.825e-12 | 3.03e-10
BECN1|BECLIN-G-V | 5.563e-12 | 9.18e-10
MET|C-MET_PY1235-R-C | 4.25e-11 | 6.97e-09
XIAP|XIAP-R-C | 7.054e-11 | 1.15e-08
PIK3R1|PI3K-P85-R-V | 1.485e-10 | 2.41e-08

Figure S2. Get High-res Image As an example, this figure shows the association of CHEK1|CHK1_PS345-R-C to 'HISTOLOGICAL.TYPE'. P value = 1.94e-17 with ANOVA analysis.

Clinical variable #6: 'PATHOLOGY.T'

One gene related to 'PATHOLOGY.T'.

Table S8. Basic characteristics of clinical feature: 'PATHOLOGY.T'

PATHOLOGY.T | Mean (SD) | 2.88 (0.61)
|  | N
| T0 | 1
| T1 | 9
| T2 | 68
| T3 | 276
| T4 | 41
| Significant markers | N = 1
| pos. correlated | 1
| neg. correlated | 0

List of one gene significantly correlated to 'PATHOLOGY.T' by Spearman correlation test

Table S9. Get Full Table List of one gene significantly correlated to 'PATHOLOGY.T' by Spearman correlation test

| SpearmanCorr | corrP | Q
--- | --- | --- | ---
ERRFI1|MIG-6-M-V | 0.1865 | 0.0001938 | 0.0331

Figure S3. Get High-res Image As an example, this figure shows the association of ERRFI1|MIG-6-M-V to 'PATHOLOGY.T'. P value = 0.000194 with Spearman correlation analysis.

Clinical variable #7: 'PATHOLOGY.N'

8 genes related to 'PATHOLOGY.N'.

Table S10. Basic characteristics of clinical feature: 'PATHOLOGY.N'

PATHOLOGY.N | Mean (SD) | 0.61 (0.76)
|  | N
| N0 | 224
| N1 | 103
| N2 | 68
| Significant markers | N = 8
| pos. correlated | 4
| neg. correlated | 4

List of 8 genes significantly correlated to 'PATHOLOGY.N' by Spearman correlation test

Table S11. Get Full Table List of 8 genes significantly correlated to 'PATHOLOGY.N' by Spearman correlation test

| SpearmanCorr | corrP | Q
--- | --- | --- | ---
EIF4E|EIF4E-R-V | -0.2215 | 8.875e-06 | 0.00152
MYC|C-MYC-R-C | 0.21 | 2.583e-05 | 0.00439
GAB2|GAB2-R-V | 0.2026 | 4.981e-05 | 0.00842
CASP7|CASPASE-7_CLEAVEDD198-R-C | -0.2025 | 5.051e-05 | 0.00849
MAPK14|P38_MAPK-R-C | -0.1971 | 8.038e-05 | 0.0134
PXN|PAXILLIN-R-V | 0.1942 | 0.0001023 | 0.017
IRS1|IRS1-R-V | 0.1866 | 0.0001914 | 0.0316
CCNE1|CYCLIN_E1-M-V | -0.1866 | 0.0001919 | 0.0316

Figure S4. Get High-res Image As an example, this figure shows the association of EIF4E|EIF4E-R-V to 'PATHOLOGY.N'. P value = 8.88e-06 with Spearman correlation analysis.

Clinical variable #8: 'PATHOLOGICSPREAD(M)'

No gene related to 'PATHOLOGICSPREAD(M)'.

Table S12. Basic characteristics of clinical feature: 'PATHOLOGICSPREAD(M)'

PATHOLOGICSPREAD(M) | Labels | N
| M0 | 300
| M1 | 49
| M1A | 8
| M1B | 1
| MX | 36
| Significant markers | N = 0

Clinical variable #9: 'TUMOR.STAGE'

7 genes related to 'TUMOR.STAGE'.

Table S13. Basic characteristics of clinical feature: 'TUMOR.STAGE'

TUMOR.STAGE | Mean (SD) | 2.45 (0.93)
|  | N
| Stage 1 | 61
| Stage 2 | 147
| Stage 3 | 119
| Stage 4 | 57
| Significant markers | N = 7
| pos. correlated | 3
| neg. correlated | 4

List of 7 genes significantly correlated to 'TUMOR.STAGE' by Spearman correlation test

Table S14. Get Full Table List of 7 genes significantly correlated to 'TUMOR.STAGE' by Spearman correlation test

| SpearmanCorr | corrP | Q
--- | --- | --- | ---
GAB2|GAB2-R-V | 0.2101 | 3.317e-05 | 0.00567
IRS1|IRS1-R-V | 0.1984 | 9.066e-05 | 0.0154
CCNE1|CYCLIN_E1-M-V | -0.1949 | 0.0001216 | 0.0205
MAPK14|P38_MAPK-R-C | -0.1885 | 0.0002023 | 0.034
EIF4E|EIF4E-R-V | -0.1883 | 0.0002069 | 0.0346
PXN|PAXILLIN-R-V | 0.1867 | 0.0002335 | 0.0388
CASP7|CASPASE-7_CLEAVEDD198-R-C | -0.1835 | 0.0003014 | 0.0497

Figure S5. Get High-res Image As an example, this figure shows the association of GAB2|GAB2-R-V to 'TUMOR.STAGE'. P value = 3.32e-05 with Spearman correlation analysis.

Clinical variable #10: 'RADIATIONS.RADIATION.REGIMENINDICATION'

No gene related to 'RADIATIONS.RADIATION.REGIMENINDICATION'.

Table S15. Basic characteristics of clinical feature: 'RADIATIONS.RADIATION.REGIMENINDICATION'

RADIATIONS.RADIATION.REGIMENINDICATION | Labels | N
| NO | 8
| YES | 391
| Significant markers | N = 0

Methods & Data
Input

- Expresson data file = COADREAD-TP.rppa.txt

- Clinical data file = COADREAD-TP.clin.merged.picked.txt

- Number of patients = 399

- Number of genes = 171

- Number of clinical features = 10

Survival analysis

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

Correlation analysis

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

Student's t-test analysis

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

ANOVA analysis

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

Q value calculation

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.

Download Results

This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.

- Analysis Results (MD5 checksum)

- Auxiliary Data (MD5 checksum)

- MAGE-TAB File (MD5 checksum)

References
[1] Andersen and Gill, Cox's regression model for counting processes, a large sample study, Annals of Statistics 10(4):1100-1120 (1982)
[2] Spearman, C, The proof and measurement of association between two things, Amer. J. Psychol 15:72-101 (1904)
[3] Lehmann and Romano, Testing Statistical Hypotheses (3E ed.), New York: Springer. ISBN 0387988645 (2005)
[4] Howell, D, Statistical Methods for Psychology. (5th ed.), Duxbury Press:324-5 (2002)
[5] Benjamini and Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society Series B 59:289-300 (1995)
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