Jeffrey S. Weinberg

This study uses spatial transcriptomics to identify ECM expression patterns in GBM, revealing region-specific adhesion and signaling networks in the tumor microenvironment.

This paper uses preoperative brain mapping to predict language outcomes after glioma resection, finding that subcortical white matter resection predicts long-term deficits with high accuracy.

This study investigates how oncogenic mutations in gliomas influence the tumor microenvironment through integrative multiomic and spatial transcriptomic analysis of glioma samples.

The paper integrates spatial multi-omics data from diffuse gliomas to identify locoregional metabolomic regulators linked to glioma growth and treatment resistance.

The paper identifies ERBB2 alterations as a recurrent oncogene in esophageal adenocarcinoma brain metastases and links them to monoclonal seeding and treatment response.