Modeling Tumor Neoantigens for Predicting Patients' Clinical Outcomes

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dc.contributor.advisorHoshida, Yujinen
dc.contributor.committeeMemberWang, Taoen
dc.contributor.committeeMemberXiao, Guanghuaen
dc.contributor.committeeMemberAhn, Chulen
dc.contributor.committeeMemberAguilera, Todd A.en
dc.creatorLu, Tianshien
dc.creator.orcid0000-0002-1344-866X
dc.date.accessioned2024-01-11T20:20:11Z
dc.date.available2024-01-11T20:20:11Z
dc.date.created2021-12
dc.date.issuedDecember 2021
dc.date.submittedDecember 2021
dc.date.updated2024-01-11T20:20:11Z
dc.description.abstractTumor neoantigens are critical targets of the host antitumor immune response and their presence play an important role in affecting tumor progressions and immunotherapy treatment response. Neoantigens showed a lot of potential of being applied to clinical treatment. However, systematic study of neoantigens' impact on tumors and patients is still challenging due to the huge diversity of neoantigens, heterogeneity within tumors, and the model to study the pairing between neoantigen-MHC and T cells to identify the neoantigens that truly elicit T cell response. To study the impact of neoantigen-T cell interaction on tumorigenesis, I developed a Bayesian hierarchical model to infer the history of neoantigen-cytotoxic T cell interactions in tumors.en
dc.format.mimetypeapplication/pdfen
dc.identifier.oclc1417098725
dc.identifier.urihttps://hdl.handle.net/2152.5/10236
dc.language.isoenen
dc.subjectAntigens, Neoplasmen
dc.subjectImmunotherapyen
dc.subjectReceptors, Antigen, T-Cellen
dc.subjectT-Lymphocytesen
dc.titleModeling Tumor Neoantigens for Predicting Patients' Clinical Outcomesen
dc.typeThesisen
dc.type.materialtexten
thesis.degree.departmentGraduate School of Biomedical Sciencesen
thesis.degree.disciplineBiomedical Engineeringen
thesis.degree.grantorUT Southwestern Medical Centeren
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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