GraphTME: graph-based framework for predicting immunotherapy response by interpreting tumour microenvironment interactions using spatial transcriptomics (opens in new tab)

Immune checkpoint inhibitors (ICIs), which reactivate T-cell responses against tumours, show limited clinical efficacy due to low response rates and the lack of robust predictive biomarkers. Cell–cell interactions within the tumour microenvironment influence therapeutic response and can be analysed at single-cell resolution using imaging-based spatial transcriptomics. We present GraphTME, a spatially informed and biologically interpretable framework that predicts anti-PD-1 response by modelli...