Justin H. Hwang

This study develops novel oncolytic viruses derived from T1L mammalian orthoreovirus that enhance killing of therapy-resistant breast cancer stem-like cells.

The paper assesses CTC subset dynamics in mCRPC patients treated with 177Lu-PSMA-617 and finds that changes in PSMA and EpCAM-expressing CTCs correlate with survival outcomes.

This study uses proteomic profiling of extracellular vesicles to distinguish prostate cancer subtypes and identify subtype-specific biomarkers.

This study identifies SOX2 and FOXA1 as a transcriptional partnership driving proliferation and lineage plasticity in therapy-resistant prostate cancer.

This study uses multiomic analysis to investigate metabolic interactions between colorectal cancer cells and hepatocytes in liver metastasis, revealing metabolic shifts and potential therapeutic targets.

The paper identifies ARGOS genes, which are amplified in cancer, have low expression relative to copy number, and are toxic when overexpressed, and validates several as pan-cancer targets.

This study identifies MYBL2 as a master regulator of phenotypic plasticity in prostate cancer and shows CDK2 inhibition as a potential therapeutic strategy for MYBL2-driven tumors.

The paper identifies epigenomic signatures in sarcomatoid renal cell carcinoma (sRCC) that predict response to immune checkpoint inhibitors and are detectable in plasma, enabling non-invasive diagnosis.

This paper introduces Local Leveling, a method to reduce bias in RNA-seq data, improving gene-gene relationship accuracy and statistical test results.

This study identifies PRMT1 as a critical regulator of AR signaling in prostate cancer through genome-scale CRISPR screening and shows its potential as a therapeutic target.

This paper introduces a biologically informed deep learning model for prostate cancer classification and identifies molecular drivers of treatment resistance.