** Dataset: manually curated Human Signaling Network dataset (Updated January, 2014, HumanSignalingNetwork_v6.csv, ~6,300 proteins and ~63,000 relations).

 ** New Book: Wang E (ed), Cancer Systems Biology, CRC Mathematical and Computational Biology Series, 2010 [Link].

 ** Internal computational tools and data resources (password is required)

Selected Publications
  • Identification and construction of combinatory cancer-hallmark-based gene signature sets that predict the recurrence and chemotherapy benefits of stage II colorectal cancer.
    Shanwu Gao, Chabane Tibiche, Jinfeng Zou, Naif Zaman, Mark Trifiro, Maureen O’Connor-McCourt, and Edwin Wang.
    JAMA Oncology, in press, 2015

  • Signaling network assessment of mutations and copy number variations predicts breast cancer subtype-specific drug targets.
    Zaman N., Li L., Jamamillo M., Sun Z., Tibiche C., Banville M., Collins C., Trifiro M., Paliouras M., Nantel A., O'Connor-McCourt, M & Wang E.
    Cell Reports, 5:216-223, 2013

    The paper is freely available in Cell Reports, a new sister journal of Cell. Cancer subtype-specific signaling network files (for Cytoscape) Luminal-specific network [txt]; Basal-A network [txt]; Basal-B network [txt]; 16 breast cancer cell line-specific signaling networks for proliferation [zip]

  • The human phosphotyrosine signaling network-evolution and hotspots of hijacking in cancer.
    Lei Li, Chabane Tibiche, Cong Fu, Tomonori Kaneko, Michael Moran, Martin Schiller, Shawn Li & Edwin Wang.
    Genome Research, 22:1222–1230, 2012

    The paper is freely available in Genome Research.

  • Identification of high-quality cancer prognostic markers and metastasis network modules.
    Li J, Lenferink AE, Deng Y, Cantin C, Cui Q, Purisima EO, O'Connor-McCourt MD, Wang E.
    Nature Communications, 1:34, 2010

    The paper is freely available in Nature Communications. Highlighted in GenomeWeb-This Week in Nature [HTML]; also in SciBX: Science-Business eXchange, 2010 [HTML]; also in GEN's Tech Tips: Protein Biomarker Discovery, 2010 [PDF] A pratical protocol of the algorithm [Protocol] [Software]

  • Predictive genomics: A cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data (Invited Review).
    Wang E, Zaman N, Mcgee S, Milanese J, Masoudi-Nejad, A and O'Connor-McCourt M.
    Seminars in Cancer Biology, in press, 2014 [Paper]

  • Cancer systems biology in the genome sequencing era: Part 2, evolutionary dynamics of tumor clonal networks and drug resistance (Invited Review).
    Wang E, Zou J, Zaman N, Beitel KL, Trifiro M and Paliouras M.
    Seminars in Cancer Biology, 23:286-292, 2013 [Paper]

  • Cancer systems biology in the genome sequencing era: Part 1, dissecting and modeling of tumor clones and their networks (Invited Review).
    Wang E, Zou J, Zaman N, Beitel KL, Trifiro M and Paliouras M.
    Seminars in Cancer Biology, 23:279-285, 2013 [Paper]

  • Understanding genomic alterations in cancer genomes using an integrative network approach (Invited Review).
    Wang Edwin
    Cancer Letter, in press, 2012 [Paper]

  • Dynamic modeling and analysis of cancer cellular network motifs.
    Cloutier and Wang.
    Integrative Biology, 3:724-732, 2011 (Invited Review) [Paper] // [Supplementary Methods]

  • A roadmap of cancer systems biology.
    Edwin Wang
    Cancer Systems Biology (Wang, E. ed), Chapman & Hall/CRC Press, 2010 [PDF]

  • Cancer systems biology: exploring cancer-associated genes on cellular networks.
    Wang, E., Lenferink, AE.,and O'Connor-McCourt, MD.
    Cellular and Molecular Life Sciences (CMLS), 64:1752-1762, 2007, [invited review] [PDF]