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SBME Seminar: Designing extrudable decellularized extracellular matrix materials for bioprinting and tissue engineering – Dr. Matt Kinsella

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.

SBME Research Seminar: Using interpretable machine learning to study the genetic determinants of immunotherapy response – Dr. Hannah Carter

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SBME Seminar: Designing extrudable decellularized extracellular matrix materials for bioprinting and tissue engineering – Dr. Matt Kinsella

November 7, 2024 @ 2:00 pm - 3:00 pm PST

SBME Seminar: Designing extrudable decellularized extracellular matrix materials for bioprinting and tissue engineering – Dr. Matt Kinsella/p>

 
Seminar Abstract:
The Kinsella Lab studies the design of extrudable soft biomaterials and biofabrication methods, focusing on developing bioprinted tissue and patient specific organoid models of solid tissues. The lab designs gels from isolated and decellularized extracellular matrix that retain the physical context of the tissue microenvironment. By integrating clinical data (pathohistological, chemosensitivity and patient outcomes, and omics-based methods of patient stratification) during cell selection, we develop samples that allow us to probe into the mechanistic understanding of how tissue microenvironments and stromal-induced dynamic reciprocity influence tissue properties during development, tissue homeostasis, or disease progression. We are currently investigating patient-specific cancer models to understand the influence of ECM mechanobiology on the cytotoxic activity of tumor-infiltrating lymphocytes (TILs) and other potential therapeutic immune cells (iNK, CAR-T) whose clinical translational is currently challenged when presented with solid tissues.
 
Matt Kinsella
Dr. Matt Kinsella Biography:
Matt is an associate professor in the Department of Bioengineering at McGill, where he started his faculty career in 2012 as the founding member of the department. In addition to his appointment in engineering, he is also a member of the McGill Regenerative Medicine Network (MRM), Artificial Cells & Organs Research Centre, and the Goodman Cancer Institute (GCI). Before joining the faculty at McGill University, Matt was an American Cancer Society Postdoctoral Fellow at the University of California, San Diego, and the Sanford Burnham Medical Research Institute. He received his Ph.D. in Biomedical Engineering from the Weldon School of Biomedical Engineering at Purdue University in 2007. His research team designs and synthesizes materials for bioprinting, tissue engineering, and developing models to study microenvironment dynamics during disease or development.
 
Location:
LSC 1003

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Date:
November 7, 2024
Time:
2:00 pm - 3:00 pm PST
Event Category:

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SBME
Email
reception@sbme.ubc.ca
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UBC Life Sciences Intitute
2350 Health Sciences Mall
Vancouver, BC V6T 1Z3 Canada
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