Cervical Squamous Cell Carcinoma: HotNet pathway analysis of mutation and copy number data
(primary solid tumor cohort)
(primary solid tumor cohort)
Maintained by Hailei Zhang
(Broad Institute)
Overview
Introduction
Summary
There were 36 significant subnetworks identified in HotNet analysis.
Results
Significant subnetworks
HotNet identifies 36 altered subnetworks based on the matched somatic mutation and copy number alterations data. Table 1 showes the top 10 significant subnetworks.
Table 1. Get Full Table Top 10 out of 36 subnetworks in ranked by p value. The last column of RepeatTimes shows how many times the subnetwork was picked up in differenct delta values.
Network | No.ofgenes | p-value | RepeatTimes |
---|---|---|---|
UBE3C(2),PSMC2(1),PSMD2(31) | 3 | 0 | 2 |
ARHGEF11(1),MAP1B(8),GAN(4) | 3 | 0 | 1 |
DICER1(1),EIF2C1(8),DCP1A(9) | 3 | 0 | 1 |
DLL1(12),PSEN1(2),NOTCH2(1) | 3 | 0 | 1 |
E2F3(9),CDK3(7),YY1(2) | 3 | 0 | 1 |
EMD(8),SYNE1(15),CTNNBIP1(8) | 3 | 0 | 1 |
ERBB2(6),PIK3C2B(8),MUC4(31) | 3 | 0 | 1 |
HIST1H4F(9),HIST2H2BE(1),TBL1XR1(31) | 3 | 0 | 1 |
LNX2(31),NUMB(1),L1CAM(8) | 3 | 0 | 1 |
MEF2C(8),MAPK7(5),ELK4(7) | 3 | 0 | 1 |
Methods & Data
Copyright © 2013
Broad Institute TCGA GDAC as part of the TCGA Research Network.
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