SBME Research Seminar - Dr. Hannah Carter
Immune Checkpoint Blockade (ICB) has revolutionized cancer treatment, however mechanisms determining patient response remain poorly understood. We used machine learning to predict ICB response from germline and somatic biomarkers and studied feature usage by the learned model to uncover putative mechanisms driving superior outcomes. Patients with higher T follicular helper infiltrates were robust to defects in the class-I Major Histocompatibility Complex (MHC-I). Further investigation uncovered different ICB responses in MHC-I versus MHC-II neoantigen reliant tumors across patients. Despite similar response rates, MHC-II reliant responses were associated with significantly longer durable clinical benefit (Discovery: Median OS=63.6 vs. 34.5 months P=0.0074; Validation: Median OS=37.5 vs. 33.1 months, P=0.040). Characteristics of the tumor immune microenvironment reflected MHC neoantigen reliance, and analysis of immune checkpoints revealed LAG3 as a potential target in MHC-II but not MHC-I reliant responses. This study highlights the value of interpretable machine learning models in elucidating the biological basis of therapy responses.
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Equity, Diversity and Inclusion in TAing: STEM
September 13, 2021 @ 8:00 am - 10:00 am PDT
This session is part of the UBC Equity & Inclusion Office’s Teaching Assistant Workshop series.
Working as a Teaching Assistant is important work, learn how to navigate the challenges, so you can celebrate more successes. Equity, diversity, and inclusion (EDI) is not just about the content that you teach. It is also about how the class is set-up and conducted: how you use self-reflection and set expectations; how students interact with you and each other; and how student learning is assessed.
In this workshop, you will learn about power & privilege, the policies and guidelines that frame your work, and how best to support students as you navigate ethical dilemmas and potential conflicts. This session is foundational to supporting an equitable and inclusive learning environment, while enhancing department and program specific TA training.
This workshop’s focus field is: STEM.
To learn more information on this workshop and register, visit the EIO’s event page.