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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