Cancer Cell Signaling

癌症细胞信号程序（SIG）是由研究人员致力于提供基本的

The Cancer Cell Signaling Program (SIG) is comprised of invesfigators dedicated to providing fundamental knowledge of the intra- and inter-cellular signaling pathways that control tumor cell proliferafion, migrafion, and survival and to understanding how this informafion can be used to improve the diagnosis, prevention, and treatment of cancer. Program members utilize this fundamental knowledge to study tumor cell responses to the microenvironment and to drug treatments, using in vitro cell culture models and in vivo genetically engineered mouse models and xenograft models of individual cancers. Studying cell signaling in the context of pre-clinical cancer models provides relevant translation of cell signaling to the practical context of therapeutic intervention. SIG is led by David Brautigan, PhD and J. Thomas Parsons, PhD both of whom have extensive experience in cell signaling research and programmatic and administrative leadership. The Program leaders catalyze advances in signaling research by organizing retreats to foster new and innovative approaches, dispense "mini" pilot grants to stimulate the development of new ideas and technologies with an emphasis on using Cancer Center Shared Resources, and contribute to the overall intellectual environment of the Cancer Center by participating in seminars, journal clubs, research in progress and graduate and postgraduate education. The research of the 22 members of SIG is organized around three themes: (1) understanding fundamental properties of cancer cell signaling networks; (2) identifying pathways that govern cell responses to the microenvironment; and (3) defining in vivo systems to study signaling networks and test preclinical therapeufic strategies for cancer treatment. Total extramural funding for the Program exceeds $18 million, including $2.5 million from the Nafional Cancer Institute (NCI). Over the past five years, SIG Members have published 504 Program-relevant papers of which 33% were inter-Programmatic and 13% were intra Programmatic. The future goals of SIG are to foster discovery science focused on the complex integrafion of signaling networks, on how tumors respond to the microenvironment, and how tumors evolve to survive anti cancer therapies. SIG will confinue to utilize the outstanding Shared Resources and promote collaboration and innovation. Finally, SIG will engage oncologists and surgeons within the program and Cancer Center to seize opportunities for translation of information on signaling networks to clinical applications.