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dc.contributor.authorDenicoff, Nathan
dc.date.accessioned2018-11-08T21:04:14Z
dc.date.available2018-11-08T21:04:14Z
dc.date.issued2016-05
dc.identifier.urihttps://hdl.handle.net/20.500.12202/4178
dc.identifier.urihttps://ezproxy.yu.edu/login?url=https://repository.yu.edu/handle/20.500.12202/4178
dc.descriptionThe file is restricted for YU community access only.
dc.description.abstractLung cancer is the second most occurring cancer in the United States, behind breast cancer, but it is by far the leading cause of death out of all types of cancer. As lung cancer develops quickly, early detection is critical to a patient’s prognosis. Cancer is not a uniform disease – a number of different mutations are associated with lung cancer. For patients with some of these mutations, targeted therapies are available that provide a better alternative to non-specific chemotherapy. In this project, I concentrate on three mutations in lung cancer and work to develop a method of detection.en_US
dc.description.sponsorshipJay and Jeanie Schottenstein Honors Programen_US
dc.language.isoen_USen_US
dc.publisherYeshiva Collegeen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectLungs --Cancer.en_US
dc.subjectLungs --Cancer --Molecular aspects.en_US
dc.titleDeveloping a Molecular Diagnostic Technology to Detect Gene Fusions in Lung Canceren_US
dc.typeThesisen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States