Therapeutics , Targets , and Chemical Biology A Systems Biology Approach Identi fi es Effective Tumor – Stroma Common Targets for Oral Squamous Cell Carcinoma

The complex interactions between cancer cells and their surrounding stromal microenvironment play important roles in tumor initiation and progression and represent viable targets for therapeutic intervention. Here, we propose a concept of common target perturbation (CTP). CTP acts simultaneously on the same target in both the tumor and its stroma that generates a bilateral disruption for potentially improved cancer therapy. To employ this concept, we designed a systems biology strategy by combining experiment and computation to identify potential common target. Through progressive cycles of identification, TGF-b receptor III (TbRIII) is found as an epithelial– mesenchymal common target in oral squamous cell carcinoma. Simultaneous perturbation of TbRIII in the oral cancerous epithelial cells and their adjacent carcinoma-associated fibroblasts effectively inhibits tumor growth in vivo, and shows superiority to the unilateral perturbation of TbRIII in either cell type alone. This study indicates the strong potential to identify therapeutic targets by considering cancer cells and their adjacent stroma simultaneously. The CTP concept combined with our common target discovery strategy provides a framework for future targeted cancer combinatorial therapies. Cancer Res; 74(8); 1–10. 2014 AACR.

[1]  C. Augustine,et al.  Type III TGF-β receptor downregulation generates an immunotolerant tumor microenvironment. , 2013, The Journal of clinical investigation.

[2]  Sebastian Munck,et al.  Loss of PPP2R2A inhibits homologous recombination DNA repair and predicts tumor sensitivity to PARP inhibition. , 2012, Cancer research.

[3]  Amin R. Mazloom,et al.  Activation of Alternate Prosurvival Pathways Accounts for Acquired Sunitinib Resistance in U87MG Glioma Xenografts , 2012, Journal of Pharmacology and Experimental Therapeutics.

[4]  B. Al-Lazikani,et al.  Combinatorial drug therapy for cancer in the post-genomic era , 2012, Nature Biotechnology.

[5]  F. Markowetz,et al.  The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups , 2012, Nature.

[6]  Mina J Bissell,et al.  The tumor microenvironment is a dominant force in multidrug resistance. , 2012, Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy.

[7]  William C Hines,et al.  Why don't we get more cancer? A proposed role of the microenvironment in restraining cancer progression , 2011, Nature Medicine.

[8]  Hongmei Zhou,et al.  Downregulation of TGF-beta receptor types II and III in oral squamous cell carcinoma and oral carcinoma-associated fibroblasts , 2011, BMC Cancer.

[9]  T. Udagawa,et al.  Tumor-stromal cell interactions and opportunities for therapeutic intervention. , 2010, Current opinion in pharmacology.

[10]  Gerard C Blobe,et al.  Roles for the type III TGF-beta receptor in human cancer. , 2010, Cellular signalling.

[11]  C. Sander,et al.  Integrative genomic profiling of human prostate cancer. , 2010, Cancer cell.

[12]  A. Howell,et al.  Breast tumour stroma is a prognostic indicator and target for therapy , 2009, Breast Cancer Research.

[13]  N. Ferrara,et al.  Tumor and stromal pathways mediating refractoriness/resistance to anti-angiogenic therapies. , 2009, Trends in pharmacological sciences.

[14]  G. Blobe,et al.  The type III TGF-β receptor regulates epithelial and cancer cell migration through β-arrestin2-mediated activation of Cdc42 , 2009, Proceedings of the National Academy of Sciences.

[15]  A. Ostman,et al.  Cancer-associated fibroblasts and tumor growth--bystanders turning into key players. , 2009, Current opinion in genetics & development.

[16]  M. Daly,et al.  Genetic Mapping in Human Disease , 2008, Science.

[17]  Y. Okamoto,et al.  Identification of a novel therapeutic target for head and neck squamous cell carcinomas: A role for the neurotensin‐neurotensin receptor 1 oncogenic signaling pathway , 2008, International journal of cancer.

[18]  Pengyuan Liu,et al.  Common Human Cancer Genes Discovered by Integrated Gene-Expression Analysis , 2007, PloS one.

[19]  K. Gunsalus,et al.  Network modeling links breast cancer susceptibility and centrosome dysfunction. , 2007, Nature genetics.

[20]  T. Ideker,et al.  Network-based classification of breast cancer metastasis , 2007, Molecular systems biology.

[21]  Brad T. Sherman,et al.  The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists , 2007, Genome Biology.

[22]  E. Wang,et al.  Genetic studies of diseases , 2007, Cellular and Molecular Life Sciences.

[23]  G. Blobe,et al.  The type III transforming growth factor-beta receptor as a novel tumor suppressor gene in prostate cancer. , 2007, Cancer research.

[24]  Raghu Kalluri,et al.  Fibroblasts in cancer , 2006, Nature Reviews Cancer.

[25]  J. Joyce,et al.  Therapeutic Targeting of the Tumor Microenvironment. , 2021, Cancer discovery.

[26]  N. Fusenig,et al.  Friends or foes — bipolar effects of the tumour stroma in cancer , 2004, Nature Reviews Cancer.

[27]  Patricia Soteropoulos,et al.  Association between gene expression profile and tumor invasion in oral squamous cell carcinoma. , 2004, Cancer genetics and cytogenetics.

[28]  Massimo Marchiori,et al.  Error and attacktolerance of complex network s , 2004 .

[29]  Arun K. Ramani,et al.  Protein interaction networks from yeast to human. , 2004, Current opinion in structural biology.

[30]  Stuart M. Brown,et al.  Selection and validation of differentially expressed genes in head and neck cancer , 2004, Cellular and Molecular Life Sciences CMLS.

[31]  H. Kitano Cancer as a robust system: implications for anticancer therapy , 2004, Nature Reviews Cancer.

[32]  T. Hubbard,et al.  A census of human cancer genes , 2004, Nature Reviews Cancer.

[33]  A. Barabasi,et al.  Network biology: understanding the cell's functional organization , 2004, Nature Reviews Genetics.

[34]  P. Shannon,et al.  Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[35]  L. Mirny,et al.  Protein complexes and functional modules in molecular networks , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[36]  Richard Wooster,et al.  Sequence-based cancer genomics: progress, lessons and opportunities , 2003, Nature Reviews Genetics.

[37]  A. Barabasi,et al.  Error and attack tolerance of complex networks , 2000, Nature.

[38]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[39]  A. Azmi Systems Biology in Cancer Research and Drug Discovery , 2012, Springer Netherlands.

[40]  P. Cirri,et al.  Cancer associated fibroblasts: the dark side of the coin. , 2011, American journal of cancer research.

[41]  R. Bagley Comprar The Tumor Microenvironment | Bagley, Rebecca G. | 9781441966148 | Springer , 2010 .

[42]  C. Sawyers,et al.  Targeted cancer therapy , 2004, Nature.