Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS.
REPORT DATENovember
PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Michigan State University Easy Lansing, MI 48824
AND ADDRESS(ES) Easy
PERFORMING ORGANIZATION REPORT NUMBER
SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES)
SPONSOR/MONITOR'S ACRONYM(S)U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012
SPONSOR/MONITOR'S REPORT NUMBER(S)
DISTRIBUTION / AVAILABILITY STATEMENTApproved for public release
SUPPLEMENTARY NOTES 2
ABSTRACTThe objective of this project consists in demonstrating that attractor models increase the chances of discovering combinations of many drugs with strong synergistic effects in lung cancer. The approach will be tested using a high throughput screening facility to compare the therapeutic effectiveness of random combinations and combinations predicted to be effective by the model.
Final Report! Grant:!W81XWH-12-1-0233!! PI:!Carlo!Piermarocchi!Michigan!State!University! Title:!Attractor!signaling!models!for!discovery!of!combinatorial!therapies! Total!period!of!performance:!Aug!15!2012-!Aug!14!2014! ! ! Introduction! ! Surgery!and!radiation!therapies!are!difficult!to!use!in!the!treatment!of!lung!cancer!because!the! diagnosis!often!occurs!when!patients!already!have!metastasis.!Drug-based!therapies!are!therefore!the! best!option,!but!intrinsic!and!acquired!drug!resistance!still!makes!the!5-year!survival!rate!for!this!disease! less!than!15%.!Over!the!years,!many!specific!mechanisms!associated!with!drug!resistance!in!lung!cancer! have! been! pinpointed,! but! we! are! still! far! from! understanding! how! to! overcome! it. Combination! drug! therapy!is!commonly!used!to!enhance!efficacy!and!overcome!drug!resistance!in!cancer,!but!at!present! the! choice! of! drugs! and! doses! is! based! on! empirical! clinical! experience! alone.! In! this! project! we! have! used! an! interdisciplinary! approach! based! on! the! mathematics! of! complex! networks! to! identify! drug! combinations!that!could!be!effective!in!the!therapy!of!lung!cancer.!! ! This! reports! describes! the! methods! used! and! presents! computational! and! experimental! data! that!we!have!obtained!...