This pipeline uses various statistical tests to identify mRNAs whose expression levels correlated to selected clinical features.
Testing the association between 17931 genes and one clinical feature across 59 samples, statistically thresholded by P value <= 0.05 and Q value <= 0.25

1 gene correlated to 'AGE'.

ALS2CR4

13 genes correlated to 'GENDER'.

RPS4Y1 , RPS4Y2 , DDX3Y , CYORF15A , EIF1AY , ...

2 genes correlated to 'PATHOLOGY.N'.

ARHGAP10 , ACLY

No genes correlated to 'Time to Death', and 'PATHOLOGY.T'.
Complete statistical result table is provided in Supplement Table 1
Clinical feature  Statistical test  Significant genes  Associated with  Associated with  
Time to Death  Cox regression test  N=0  
AGE  Spearman correlation test  N=1  older  N=1  younger  N=0 
GENDER  t test  N=13  male  N=12  female  N=1 
PATHOLOGY T  Spearman correlation test  N=0  
PATHOLOGY N  Spearman correlation test  N=2  higher pN  N=2  lower pN  N=0 
Time to Death  Duration (Months)  0.4122.4 (median=18.2) 
censored  N = 33  
event occurred  N = 25  
Significant markers  N = 0 
AGE  Mean (SD)  66.68 (9) 
Significant markers  N = 1  
pos. correlated  1  
neg. correlated  0 
SpearmanCorr  corrP  Q  
ALS2CR4  0.5576  4.488e06  0.0805 
GENDER  Labels  N 
FEMALE  20  
MALE  39  
Significant markers  N = 13  
Higher in MALE  12  
Higher in FEMALE  1 
T  ttestP  Q  AUC  
RPS4Y1  25.98  2.772e27  4.97e23  1 
RPS4Y2  20.55  2.71e24  4.86e20  1 
DDX3Y  17.96  1.069e22  1.92e18  1 
CYORF15A  14.07  5.712e20  1.02e15  1 
EIF1AY  14.94  5.555e19  9.96e15  1 
JARID1D  13.64  3.143e18  5.63e14  0.9974 
UTY  11.19  3.503e15  6.28e11  0.9859 
CYORF15B  10.3  1.501e14  2.69e10  0.9731 
USP9Y  8.64  7.223e12  1.29e07  0.9564 
ZFY  8.61  1.007e11  1.81e07  0.9718 
PATHOLOGY.T  Mean (SD)  1.98 (0.71) 
N  
T1  12  
T2  39  
T3  5  
T4  3  
Significant markers  N = 0 
PATHOLOGY.N  Mean (SD)  0.37 (0.55) 
N  
N0  39  
N1  18  
N2  2  
Significant markers  N = 2  
pos. correlated  2  
neg. correlated  0 
Input Data

Expresson data file = LUSC.medianexp.txt

Clinical data file = LUSC.clin.merged.picked.txt

Number of samples = 59

Number of genes = 17931

Number of clinical features = 5

p value cutoff = 0.05

q value cutoff = 0.25