Matthew J. Gust

This study integrates single-cell and spatial transcriptomic data across species to identify conserved and distinct tumor ecosystems in osteosarcoma, revealing canine models as more faithful and highlighting ECM signaling in metastatic lesions.

SCANBIT identifies tumor cell populations in scRNA-seq data by using pseudobulked SNV calls, showing that mutational burden affects identification accuracy.

This study identifies metastasis-initiating osteosarcoma subpopulations that interact with lung and tumor cells to form a metastatic niche, highlighting tumor-stromal interactions as key drivers of metastasis.

This study identifies fibrosis as a targetable vulnerability in osteosarcoma lung metastasis by showing nintedanib inhibits metastatic progression through anti-fibrotic effects.

This study shows trabectedin enhances oncolytic virotherapy by reducing anti-viral barriers and boosting immune-mediated tumor regression in preclinical models.