Joshi J. Alumkal

This study quantifies cancer stemness in prostate cancer across progression stages, showing its association with therapy resistance, poor survival, and lineage plasticity.

This study identifies genomic drivers of progression and therapeutic outcomes in mCRPC and develops a multi-omic classifier to predict patient survival across multiple therapies.

The paper identifies global 3'UTR lengthening in SCNC through APA and develops a neural network model to classify SCNC using APA signatures.

This study constructs the Prostate Cancer Cell Atlas by analyzing ~710,000 single cells from 197 human samples to characterize cell states and dynamics across prostate cancer progression stages.

The paper examines the relationship between androgen receptor activity and immune cell infiltration, showing that lower AR activity correlates with increased immune activity and better immunotherapy response across multiple cancers.