July 20 - 27, 2014
Snowmass Village, Colorado, USA
The 23rd Annual AACR Workshop: Molecular Biology in Clinical Oncology will take place at the Westin Snowmass located less than 10 miles from the center of the well-known resort community of Aspen, Colo. Lodging will be reserved for workshop participants at the Westin Snowmass. Recreational activities in the Snowmass and Aspen area include hiking, bicycling, tennis, fishing, horseback riding, river rafting, and hot air ballooning. Snowmass is easily reached by car and by air from the Aspen/Pitkin County Airport and/or the Denver International Airport.
Content of WorkshopThis workshop is a unique learning experience for trainees that combines: lectures/discussions from the top investigators in the field of cancer research, opportunities for mentoring and career development, four hands-on laboratory sessions, and guidance in grant writing. Each of our faculty experts will lead a one-hour session on their field of research as it relates to the basic principles of clinical oncology with ample discussion time. Faculty will be responsible for stimulating questions on the aspects of the presentation that are important to clinical oncologists developing as physician-scientists.
The workshop will also feature four different hands-on laboratory sessions. These labs are conducted in small groups to maximize the learning experience and faculty interactions and will include topics such as gene expression analysis, proteomics, bioinformatics, and microarray analysis.
Trainees will also benefit from sessions on career development and grant preparation, as well as have several opportunities to meet one-on-one with faculty members during scheduled office hours and meals.
Selection of ParticipantsThe application deadline was Monday, March 24. Trainees will be selected upon application review by the Organizing Committee. All applicants will be notified of their status by late April.
Workshop MaterialsTrainees will receive recommended reading prior to the workshop. Faculty members will provide abstracts of their talks along with suggested references. Laboratory Directors will provide a detailed syllabus of the material to be covered in their hands-on laboratory sessions. Trainees will receive access to a workshop-specific website with these course materials, recommended reading, general workshop information, reminders, and opportunities to network.
Faculty - LecturesMonica Bertagnolli, Brigham and Women's Hospital, Boston, Mass.J. Michael Bishop, University of California-San Francisco, San Francisco, Calif.James E. Bradner, Dana-Farber Cancer Institute, Boston, Mass.Alan D. D’Andrea, Dana-Farber Cancer Institute, Boston, Mass.Levi A. Garraway, Dana-Farber Cancer Institute, Boston, Mass. Mark W. Geraci, University of Colorado Denver Medical Center, Aurora, Colo. Lucy A. Godley, University of Chicago, Chicago, Ill.Carl H. June, Abramson Cancer Center of University of Pennsylvania, Philadelphia, Pa.William G. Kaelin Jr., Dana-Farber Cancer Institute, Boston, Mass. David Piwnica-Worms, The University of Texas MD Anderson Cancer Center, Houston, TexasWilliam R. Sellers, Novartis Institutes for BioMedical Research, Cambridge, Mass.Kevin M. Shannon, UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, Calif.Jean Y. Tang, Stanford University School of Medicine, Redwood City, Calif.Suzanne L. Topalian, Johns Hopkins Kimmel Comprehensive Cancer Center, Baltimore, Md. David A. Tuveson, Cold Spring Harbor Laboratory, Cold Spring Harbor, N.Y.
Faculty - LaboratoryCamilla Heinzmann, QIAGEN Inc., Valencia, Calif.Tools for Successful Gene Expression Analysis: From RNA to Real-Time RT-PCR
Thomas Graeber, University of California, Los Angeles, Calif., and Parag Mallick, Stanford University, Palo Alto, Calif.Protein Purification and Subfractionation for Proteomic Characterization
Tyra Wolfsberg and Gretchen Gibney, National Human Genome Research Institute, Bethesda, Md.Bioinformatics 101
Robert Stearman, Tzu Phang, Michael Edwards, University of Colorado Denver, Aurora, Colo.Using Genomics and Bioinformatics in Cancer Research