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M. Kotlyar, C. A. Cumbaa, I. JurisicaOntario Cancer Institute, Toronto, ON
Posters 35 & 10
Predisposition
DiagnosisPrognosis
Treatment plan
Early markers
Target List Interpretation/Prioritization
Lau et al., JCO, 2007
Source Interactions: 234,135Predicted Interactions: 211,604Total Interactions: 439,813
1,129 probesets associated with survival in lung cancer from 24 studies
Maps to 772 proteins in I2D Network comprises 5,925 proteins; 65,074 interactions
1,129 probesets associated with survival in lung cancer from 24 studies
Maps to 772 proteins in I2D Network comprises 5,925 proteins; 65,074 interactions
Zhu et al., Clin Lung Cancer, 2009
Network from analyzed signatures
Combined Signature and NIH Networks
(from Shedden et al., Nat Med, 2008)
Analyzing “Signatures from Validated Signatures“ (from Lau et al., JCO, 2007)
Boutros et al., PNAS, 2009
8 studies pooled589 patient samples
Signature Explosion 113 genes in 4 test datasets 10 M 6-gene permutations
16.4% of all 6-gene signatures are significant (P<0.05)3.28-fold greater than expected
by chance
1,789 signatures perform better across all 4 validation datasets
Boutros et al., PNAS, 2009
•
Solutions?
• Better analysis
–∫(data, methods)
• More protein interactions– ~30% of signature genes
do not have known PPIs
74,944 x 74,944 predictions 14,889 proteins, 100,083 interactions
16,259 proteins,151,312 interactions
Filter probability >75%
54,150 interactions5,725 proteins
Text Mining:43.2% sensitivity70.2% specificity
Evidence for ~67%New evidence for ~40%Avg. from 1.05 to 9.5
21,543 proteins,265,957 interactions
HumanIntact: 32K (8Kp)MINT: 21K (6.2Kp)HPRD: 38K (8.5Kp)DIP: 2.3K (1.5Kp)
310 lung, ovarian, prostate and head&neck cancer targets; network with 13,510 proteins and 104,765 interactions
Cancer – PDB – PSI
Conclusions Best signatures are not
created from the most differential genes“Sub-signatures” can be
even more accurate “Brute force” can identify
gold standard Integrative analysis and
heuristic approach may:Identify all good signaturesHelp to interpret biology
Acknowledgment
ophid.utoronto.ca/navigator
ophid.utoronto.ca/i2d
ophid.utoronto.ca/genecards
http://www.conquercancer.ca
http://www.worldcommunitygrid.org
D. Strumpf, P. Boutros, K. Brown, S. Der, W. Xie, D. Otasek, A. MuhammadF. Breard, R. LuY. Niu, K. Fortney, R. Yan, R. Ramnarine, S. Rahmati, E. Shirdel, D. Rosu, A. Ghavidel, J. Geraci, L. Waldron
ophid.utoronto.ca/cdip
M. S. Tsao, F. Shepherd, L. Penn , M. PintilieNIH Director’s Challenge Consortium I. Stagljar, I. DikicD. Wigle, T. Kislinger…
M. McGuffin, B. Devani, I. Van Toch M. Soloviev, S. Grant, J. Jiang,