Lineage plasticity underlies therapeutic resistance in cancer1,2, yet the translational mechanisms that enable this phenotypic flexibility remain largely unknown. Here using prostate cancer as a model of lineage dependence, we performed unbiased small RNA sequencing and identified tRNA1Arg(UCU) as a regulator of lineag...
Y. Kim, Sonali Arora, D. Young et al.· Nature· 0 citations
A deep learning model that leverages interpretable cellular features to improve feature extraction from H&E-stained tissue sections (NEURAL-PC) and represents an extensively validated diagnostic and prognostic model for advanced prostate cancer.
Zhi-Jun Chen, Erolcan Sayar, D. Guevara et al.· JCI Insight· 0 citations
Combined BET bromodomain and DNA methyltransferase (DNMT) inhibition was more effective than single-agent treatment in suppressing growth of TP53/RB1-loss models exhibiting a stem-like or NEPC program.
W. Storck, Diana Flores, A. Kumaraswamy et al.· JCI Insight· 0 citations
It is demonstrated that DNMT3B is required for both the initiation and maintenance of the NEPC phenotype, and its inhibition suppresses NEPC growth and differentiation, highlighting it as a promising therapeutic target for treatment-resistant disease.
Yunsol Jo, H. Jung, Zi-Qin Wang et al.· Molecular Cancer Research· 0 citations
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