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dc.contributor.advisorRapp, Chaya
dc.contributor.authorSaffern, Miriam
dc.date.accessioned2019-10-07T20:04:01Z
dc.date.available2019-10-07T20:04:01Z
dc.date.issued2019-07-03
dc.identifier.citationSaffern, Miriam. Predicting Response to Cancer Immunotherapy: Does Genomics Hold the Key? Presented to the S. Daniel Abraham Honors Program in Partial Fulfillment of the Requirements for Completion of the Program Stern College for Women Yeshiva University July 3, 2019.en_US
dc.identifier.urihttps://yulib002.mc.yu.edu:2269/20.500.12202/4758
dc.descriptionsenior honors thesis. / YU only.en_US
dc.description.abstract....This paper will begin by describing the history and mechanisms of the relationship between the immune system and cancer: how immunotherapy is a revolutionary treatment that turns the table from the principles of conventional cancer therapies. It will then describe the types of immunotherapies, with a focus on checkpoint blockade therapy. Finally, computational approaches to predicting response, specifically the feature of tumor mutational burden in predicting response to checkpoint blockade in melanoma and non-small cell lung cancer will be explored.en_US
dc.description.sponsorshipS. Daniel Abraham Honors Programen_US
dc.language.isoen_USen_US
dc.publisherNY: Stern College for Women. Yeshiva University.en_US
dc.subjectsenior honors thesisen_US
dc.subjectCancer immunotherapyen_US
dc.subjectGenomicsen_US
dc.titlePredicting Response to Cancer Immunotherapy: Does Genomics Hold the Key?en_US
dc.typeThesisen_US
dcterms.licenseNo Creative Commons License


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