title: Rethinking cancer: current challenges and opportunities in cancer research.
abstract: Cancer therapeutics currently have the lowest clinical trial success rate of all major diseases. Partly as a result of the paucity of successful anti-cancer drugs, cancer will soon be the leading cause of mortality in developed countries. As a disease embedded in the fundamentals of our biology, cancer presents difficult challenges that would benefit from uniting experts from a broad cross-section of related and unrelated fields. Combining extant approaches with novel ones could help in tackling this challenging health problem, enabling the development of therapeutics to stop disease progression and prolong patient lives. This goal provided the inspiration for a recent workshop titled 'Rethinking Cancer', which brought together a group of cancer scientists who work in the academic and pharmaceutical sectors of Europe, America and Asia. In this Editorial, we discuss the main themes emerging from the workshop, with the aim of providing a snapshot of key challenges faced by the cancer research community today. We also outline potential strategies for addressing some of these challenges, from understanding the basic evolution of cancer and improving its early detection to streamlining the thorny process of moving promising drug targets into clinical trials.
authors.affiliation: Icahn School of Medicine at Mount Sinai, Annenberg 25-40, Campus Box 1020, 1468 Madison Avenue, New York, NY 10029, USA ross.cagan@mssm.edu pmeyerr@us.ibm.com.
authors.forename: Ross
authors.initials: R
authors.lastname: Cagan
authors.affiliation: Icahn School of Medicine at Mount Sinai, Annenberg 25-40, Campus Box 1020, 1468 Madison Avenue, New York, NY 10029, USA ross.cagan@mssm.edu pmeyerr@us.ibm.com.|Thomas J. Watson Computational Biology Center, IBM, Yorktown Heights, NY 10598, USA.
authors.forename: Pablo
authors.initials: P
authors.lastname: Meyer
mesh_terms: D000818:Animals; D035843:Biomedical Research; D002986:Clinical Trials as Topic; D004195:Disease Models, Animal; D023281:Genomics; D006801:Humans; D009369:Neoplasms / Q000473:pathology*; D049490:Systems Biology