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dc.contributor.authorAlwithenani, Akram
dc.date.accessioned2021-02-22T18:58:24Z
dc.date.available2021-02-22T18:58:24Z
dc.date.issued2021-02-22T18:58:24Z
dc.identifier.urihttp://hdl.handle.net/10222/80272
dc.description.abstractMost lung cancer patients are diagnosed at an advanced stage, limiting their treatment options to chemotherapy. New therapies that target driver gene mutations, are used to treat patients who have tumours with these mutations. In addition, immune checkpoint inhibitor is being used to treat lung cancer patients. Thus, being able to identify the presence of driver mutations and PD-L1 in tumours will help patients to benefit from different therapies. A total of 851 cases of lung cancer samples have been profiled for EGFR, KRAS, BRAF, and PIK3CA mutations. Moreover, PD-L1 mRNA expression was quantified to assess its correlation with PD-L1 protein level. Statistical analysis revealed that EGFR mutations were significantly linked to the absence of vascular invasion and PD-L1, and KRAS mutations do not associate with PD-L1. Moreover, we found a positive correlation between mRNA levels of PD-L1 with PD-L1 expression. Together, these data provide insightful information for clinical implications.en_US
dc.language.isoenen_US
dc.titleINVESTIGATING TARGETED DRIVER MUTATIONS AND PD-L1 EXPRESSION FOR IMPROVED THERAPY OF NON-SMALL CELL LUNG CANCERen_US
dc.typeThesisen_US
dc.date.defence2018-04-24
dc.contributor.departmentDepartment of Pathologyen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinerPaola Marignanien_US
dc.contributor.graduate-coordinatorWenda Greeren_US
dc.contributor.thesis-readerPaola Marcatoen_US
dc.contributor.thesis-readerWenda Greeren_US
dc.contributor.thesis-readerMathieu Castonguayen_US
dc.contributor.thesis-supervisorZhaolin Xuen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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