Correlation between mRNAseq expression and clinical features
Kidney Chromophobe (Primary solid tumor)
15 July 2014 | analyses__2014_07_15
Maintainer Information
Citation Information
doi:10.7908/C1F47MVS
Maintained by Juok Cho (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2014): Correlation between mRNAseq expression and clinical features. Broad Institute of MIT and Harvard. doi:10.7908/C1F47MVS
Overview
Introduction

This pipeline uses various statistical tests to identify mRNAs whose log2 expression levels correlated to selected clinical features.

Summary

Testing the association between 17843 genes and 10 clinical features across 66 samples, statistically thresholded by P value < 0.05 and Q value < 0.3, 2 clinical features related to at least one genes.

- 5 genes correlated to 'PATHOLOGY.T.STAGE'.

- GLT25D2|23127 , PCDHGA2|56113 , KLK4|9622 , PCDHGA1|56114 , CYP4V2|285440

- 5 genes correlated to 'KARNOFSKY.PERFORMANCE.SCORE'.

- ATP11C|286410 , METTL2B|55798 , RGS4|5999 , TC2N|123036 , XYLT2|64132

- No genes correlated to 'AGE', 'NEOPLASM.DISEASESTAGE', 'PATHOLOGY.N.STAGE', 'PATHOLOGY.M.STAGE', 'GENDER', 'NUMBERPACKYEARSSMOKED', 'RACE', and 'ETHNICITY'.

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 P value < 0.05 and Q value < 0.3.

Clinical feature | Statistical test | Significant genes | Associated with |  | Associated with |
--- | --- | --- | --- | --- | --- | ---
AGE | Spearman correlation test | N=0 |  |  |  |
NEOPLASM DISEASESTAGE | Kruskal-Wallis test | N=0 |  |  |  |
PATHOLOGY T STAGE | Spearman correlation test | N=5 | higher stage | N=3 | lower stage | N=2
PATHOLOGY N STAGE | Spearman correlation test | N=0 |  |  |  |
PATHOLOGY M STAGE | Kruskal-Wallis test | N=0 |  |  |  |
GENDER | Wilcoxon test | N=0 |  |  |  |
KARNOFSKY PERFORMANCE SCORE | Spearman correlation test | N=5 | higher score | N=4 | lower score | N=1
NUMBERPACKYEARSSMOKED | Spearman correlation test | N=0 |  |  |  |
RACE | Kruskal-Wallis test | N=0 |  |  |  |
ETHNICITY | Wilcoxon test | N=0 |  |  |  |

Clinical variable #1: 'AGE'

No gene related to 'AGE'.

Table S1. Basic characteristics of clinical feature: 'AGE'

AGE | Mean (SD) | 51.52 (14)
| Significant markers | N = 0

Clinical variable #2: 'NEOPLASM.DISEASESTAGE'

No gene related to 'NEOPLASM.DISEASESTAGE'.

Table S2. Basic characteristics of clinical feature: 'NEOPLASM.DISEASESTAGE'

NEOPLASM.DISEASESTAGE | Labels | N
| STAGE I | 21
| STAGE II | 25
| STAGE III | 14
| STAGE IV | 6
| Significant markers | N = 0

Clinical variable #3: 'PATHOLOGY.T.STAGE'

5 genes related to 'PATHOLOGY.T.STAGE'.

Table S3. Basic characteristics of clinical feature: 'PATHOLOGY.T.STAGE'

PATHOLOGY.T.STAGE | Mean (SD) | 2.02 (0.85)
|  | N
| 1 | 21
| 2 | 25
| 3 | 18
| 4 | 2
| Significant markers | N = 5
| pos. correlated | 3
| neg. correlated | 2

List of 5 genes differentially expressed by 'PATHOLOGY.T.STAGE'

Table S4. Get Full Table List of 5 genes significantly correlated to 'PATHOLOGY.T.STAGE' by Spearman correlation test

| SpearmanCorr | corrP | Q
--- | --- | --- | ---
GLT25D2|23127 | 0.5415 | 2.664e-06 | 0.0475
PCDHGA2|56113 | 0.5353 | 4.348e-06 | 0.0776
KLK4|9622 | -0.5309 | 4.529e-06 | 0.0808
PCDHGA1|56114 | 0.529 | 5.882e-06 | 0.105
CYP4V2|285440 | -0.52 | 7.637e-06 | 0.136

Clinical variable #4: 'PATHOLOGY.N.STAGE'

No gene related to 'PATHOLOGY.N.STAGE'.

Table S5. Basic characteristics of clinical feature: 'PATHOLOGY.N.STAGE'

PATHOLOGY.N.STAGE | Mean (SD) | 0.16 (0.47)
|  | N
| 0 | 40
| 1 | 3
| 2 | 2
| Significant markers | N = 0

Clinical variable #5: 'PATHOLOGY.M.STAGE'

No gene related to 'PATHOLOGY.M.STAGE'.

Table S6. Basic characteristics of clinical feature: 'PATHOLOGY.M.STAGE'

PATHOLOGY.M.STAGE | Labels | N
| M0 | 34
| M1 | 2
| MX | 9
| Significant markers | N = 0

Clinical variable #6: 'GENDER'

No gene related to 'GENDER'.

Table S7. Basic characteristics of clinical feature: 'GENDER'

GENDER | Labels | N
| FEMALE | 27
| MALE | 39
| Significant markers | N = 0

Clinical variable #7: 'KARNOFSKY.PERFORMANCE.SCORE'

5 genes related to 'KARNOFSKY.PERFORMANCE.SCORE'.

Table S8. Basic characteristics of clinical feature: 'KARNOFSKY.PERFORMANCE.SCORE'

KARNOFSKY.PERFORMANCE.SCORE | Mean (SD) | 89.09 (9.4)
| Score | N
| 70 | 1
| 80 | 2
| 90 | 5
| 100 | 3
| Significant markers | N = 5
| pos. correlated | 4
| neg. correlated | 1

List of 5 genes differentially expressed by 'KARNOFSKY.PERFORMANCE.SCORE'

Table S9. Get Full Table List of 5 genes significantly correlated to 'KARNOFSKY.PERFORMANCE.SCORE' by Spearman correlation test

| SpearmanCorr | corrP | Q
--- | --- | --- | ---
ATP11C|286410 | 0.9415 | 1.527e-05 | 0.27
METTL2B|55798 | 0.9415 | 1.527e-05 | 0.27
RGS4|5999 | 0.9415 | 1.527e-05 | 0.27
TC2N|123036 | 0.9415 | 1.527e-05 | 0.27
XYLT2|64132 | -0.9415 | 1.527e-05 | 0.27

Clinical variable #8: 'NUMBERPACKYEARSSMOKED'

No gene related to 'NUMBERPACKYEARSSMOKED'.

Table S10. Basic characteristics of clinical feature: 'NUMBERPACKYEARSSMOKED'

NUMBERPACKYEARSSMOKED | Mean (SD) | 25.09 (22)
| Significant markers | N = 0

Clinical variable #9: 'RACE'

No gene related to 'RACE'.

Table S11. Basic characteristics of clinical feature: 'RACE'

RACE | Labels | N
| ASIAN | 2
| BLACK OR AFRICAN AMERICAN | 4
| WHITE | 58
| Significant markers | N = 0

Clinical variable #10: 'ETHNICITY'

No gene related to 'ETHNICITY'.

Table S12. Basic characteristics of clinical feature: 'ETHNICITY'

ETHNICITY | Labels | N
| HISPANIC OR LATINO | 4
| NOT HISPANIC OR LATINO | 32
| Significant markers | N = 0

Methods & Data
Input

- Expresson data file = KICH-TP.uncv2.mRNAseq_RSEM_normalized_log2.txt

- Clinical data file = KICH-TP.merged_data.txt

- Number of patients = 66

- Number of genes = 17843

- Number of clinical features = 10

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

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

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

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

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.

- Analysis Results (MD5 checksum)

- Auxiliary Data (MD5 checksum)

- MAGE-TAB File (MD5 checksum)

References
[1] Spearman, C, The proof and measurement of association between two things, Amer. J. Psychol 15:72-101 (1904)
[2] Howell, D, Statistical Methods for Psychology. (5th ed.), Duxbury Press:324-5 (2002)
[3] Lehmann and Romano, Testing Statistical Hypotheses (3E ed.), New York: Springer. ISBN 0387988645 (2005)
[4] 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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