Joshua B. Rubin

This study shows that platelet PAR4 signaling, interacting with estrogen receptor beta, drives glioblastoma progression and immune suppression, with sex-specific effects on survival and TME dynamics.

This study identifies EGR1 as a key driver of sex differences in glioblastoma tumorigenicity, showing it mediates survival and treatment response differences between males and females.

This study shows that daily glucocorticoids influence glioblastoma growth and circadian synchronization with the host, with effects dependent on timing and clock genes.

The paper introduces two open-source tools for analyzing protein structural ensembles using network theory, focusing on reproducibility and parameter stability.

This study identifies sex differences in glioblastoma driven by Brd4-bound enhancers, showing opposing responses to BET inhibitors in male and female tumor cells.

This study identifies biomarker genes and potential drugs for G3 medulloblastoma using integrative omics analysis of gene expression, methylation, and copy number data.

This study examines functional brain network changes and cognitive impairments in pediatric brain tumor patients, finding altered network organization and its link to cognitive performance.

This paper introduces DHI, a method combining diffusion basis spectrum imaging and deep neural networks to classify pediatric brain tumor histology with high accuracy.