000000970 001__ 970
000000970 005__ 20250424232559.0
000000970 0247_ $$2DOI$$a10.6083/M48K7732
000000970 037__ $$aETD
000000970 245__ $$aDrug sensitivities in the context of genomic aberrations: applications to cancer
000000970 260__ $$bOregon Health and Science University
000000970 269__ $$a2013
000000970 336__ $$aThesis
000000970 502__ $$bM.S.
000000970 520__ $$aTwo major obstacles persist in the fight against cancer: its heterogeneity and its ability to adapt. Cancers originating from a specific organ system can have various variants, each defined by unique patterns of cellular abnormalities that drive their oncogenic properties. This heterogeneity creates challenges not only in understanding the molecular mechanisms behind the cancer but also in developing effective treatments. Furthermore, even when effective treatments are identified, cancer often adapts and becomes resistant to these therapies, rendering many initially promising treatments ineffective. These challenges highlight the pressing need for new and more advanced cancer treatments that are specifically tailored to the individual cancer strain of each patient.
000000970 540__ $$fCC BY
000000970 542__ $$fIn copyright - single owner
000000970 650__ $$aMolecular Targeted Therapy$$039450
000000970 650__ $$aNeoplasms$$022758
000000970 650__ $$aComputer Simulation$$016989
000000970 650__ $$aGenetic Variation$$027724
000000970 650__ $$aTreatment Outcome$$029508
000000970 650__ $$aBiochemical Phenomena$$015548
000000970 6531_ $$acancer
000000970 691__ $$aSchool of Medicine$$041369
000000970 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000000970 7001_ $$aHiggins, Sam$$uOregon Health and Science University$$041354
000000970 8564_ $$959248c86-2dea-4b70-89e4-4f1cf2dedc18$$s2951448$$uhttps://digitalcollections.ohsu.edu/record/970/files/973_etd.pdf$$ePublic$$2c6e233fa603f47cf326cdcb03ec69ade$$31
000000970 905__ $$a/rest/prod/0k/22/5b/08/0k225b08s
000000970 909CO $$ooai:digitalcollections.ohsu.edu:970$$pstudent-work
000000970 980__ $$aBiomedical Informatics