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BioShell Research: Analysis of data for prediction of cancer patient response to checkpoint therapy

Researcher: Justin Yang

Affiliation: The University of Sydney

Fields of research: Immunology (3204)

Project: Analysis of data for prediction of cancer patient response to checkpoint therapy

This project investigates multi-omic biomarkers that provide robust, reproducible prediction of a cancer patient’s likelihood of responding to immune checkpoint blockade. By integrating bulk RNA-seq and ATAC-seq with flow-cytometric immune subset profiling, we aim to uncover the transcriptomic and epigenetic determinants of primary immunotherapy resistance across lung cancer and melanoma cohorts.

Collaborators and funding

  • Collaborators: Chris O’Brien Lifehouse