This collaboration builds on 10x's broader efforts to work with leading research institutions to generate the scientific evidence needed to advance future diagnostic applications of single cell and spatial technologies.

Through this multi-year collaboration, the study intends to use 10x's Flex Apex and Xenium platforms, with the goal of expanding to the Atera platform, to examine tumor samples from patients with advanced cancer undergoing a comprehensive evaluation by a clinical molecular tumor board. The research aims to identify clinically relevant biomarkers that may help predict treatment response, cancer prognosis and support diagnostic development.

The rapid expansion of targeted therapies, immunotherapies and other emerging treatment modalities is creating new opportunities for treating patients, while also increasing the complexity of treatment decision-making in oncology. As a result, there is a growing need for biomarkers that can help predict which patients are most likely to benefit from specific therapies, supporting more personalized treatment strategies. The study is expected to include hundreds of patients across multiple solid tumor types, including non-small cell lung cancer, breast cancer, bladder cancer and melanoma. Researchers plan to integrate single cell and spatial biology with clinical outcomes data to better understand mechanisms of response and resistance across a range of therapeutic approaches, including antibody-drug conjugates, bispecific antibodies and immune checkpoint inhibitors. The collaboration also intends to investigate how 10x single cell and spatial technologies can be deployed clinically alongside current standard-of-care assays.

The collaboration is expected to generate a comprehensive, multimodal resource integrating single cell and spatial data to enable the discovery of clinically actionable biomarkers of treatment response and resistance. It also plans to evaluate how these biomarkers could be incorporated into future clinical reporting frameworks to support personalized treatment planning and molecular tumor board decision-making.