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Table 3 Functions for relapse associated networks

From: Multivariate transcriptome analysis identifies networks and key drivers of chronic lymphocytic leukemia relapse risk and patient survival

Module

Top 5 biological processes

FET p value

Positively correlated with relapse

Purple

No significant biological processes identified

NA

p < 0.001

  

Rho = 0.34

  

Salmon

No significant biological processes identified

NA

p = 0.001

  

Rho = 0.23

  

Yellow

Cellular macromolecule metabolic process

2.90E−19

p = 0.003

Proteasomal protein catabolic process

2.27E−10

Rho = 0.21

Establishment of protein localization

5.11E−08

 

Intracellular transport

4.14E−07

 

Positive regulation of cell cycle arrest

1.29E−06

Black

No significant biological processes identified

NA

p = 0.006

  

Rho = 0.19

  

Brown

mRNA metabolic process

8.10E−11

p = 0.05

Regulation of macromolecule metabolism

1.24E−09

Rho = 0.14

Modification-dependent macromolecule catabolic process

3.51E−09

 

RNA splicing regulation

5.81E−09

 

Cellular metabolism process

1.91E−08

Negatively correlated with relapse

Greenyellow

No significant biological processes identified

NA

p < 0.001

  

Rho = −0.24

  

Blue

No significant biological processes identified

NA

p = 0.004

Rho = 0.2

Magenta

Translational elongation

1.86E−110

p = 0.005

Viral transcription

1.17E−108

Rho = −0.2

Translational termination

1.37E−106

 

Viral infectious cycle

1.89E−106

 

Endocrine pancreas development

1.76E−103

  1. Networks adjacent to the red bar have positive correlations with relapse and are upregulated in Binet Stage A patients who relapsed. Networks adjacent to the blue panel are negatively correlated with relapse. The top five biological functions and adjusted p values are displayed in the table. Networks with blank biological processes did not have any overrepresented biological processes based on the FET