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.
Events
Calendar

- This event has passed.
Indigenous Intelligence Training with Maynard Angus
June 21, 2024 @ 9:00 am - 12:00 pm PDT
Indigenous Intelligence Training with Maynard Angus
In honour of National Indigenous Peoples’ Day, the SBME Indigenous Engagement Committee would like to invite you to attend the workshop Indigenous Intelligence Training with Maynard Angus.
Maynard Angus is the founder of Indigenous Canada Solutions and a member of the Nisga’a Nation. The presentation will cover Indigenous history and will encompass a comprehensive understanding Indigenous culture, community and land.
Event Information:
• Friday June 21
• 9:00 am – 12:00 pm
• DMCBH 101 LT
• Lunch will be provided.