Robert J. Autry

The paper introduces a PDX platform for pediatric cancers, providing in vivo drug testing models and molecular data to aid in therapy development.

The paper identifies SMARCAL1 as a novel predisposition gene for osteosarcoma by analyzing germline variants in DNA damage repair genes across childhood cancer cases.

This paper develops a mouse model for high-risk sarcoma by delivering genetic lesions via electroporation, generating multiple sarcoma types and validating their molecular and therapeutic relevance.

Pyjacker detects enhancer hijacking in AML, identifying MNX1 activation via 7q deletion as a novel oncogenic mechanism.

The paper identifies differences in mtDNA mutation accumulation and selective pressures in pediatric leukemias using bulk and single-cell sequencing, linking these to functional heterogeneity among leukemic cells.

BEAM integrates multiple omics profiles with multiple clinical outcomes using bootstrap resampling to identify significant associations, outperforming existing methods in simulations and a pediatric leukemia application.