Inferring somatic copy number aberrations from spatial transcriptomics data to study early cancer development

A computational framework infers somatic copy number aberrations from Xenium spatial transcriptomics, mapping spatially coherent SCNA-defined populations in ovarian, cervical, and breast cancer datasets.

• Why it matters: Early transformation and microenvironment interactions are critical, but conventional sequencing makes it difficult to study the spatial context of somatic copy number aberrations.
• What they did: The framework infers SCNAs directly from Xenium spatial transcriptomics and identifies cell populations sharing common SCNA profiles across ovarian, cervical, and breast cancer datasets.
• The result: In high-grade serous ovarian cancer, it reveals an intermediate epithelial population in the fallopian tube with early transformation features and immune remodelling, enabling in situ reconstruction of SCNA-defined clone architecture.