Variant histologic features can emerge in therapy-resistant prostate cancers, with treatment-emergent small-cell neuroendocrine carcinomas (t-SCNC) the most common. Here we report clinical, histopathological, and genomic features of 126 t-SCNCs and 14 other treatment-emergent variant histologies. This retrospective mul...
Nadeem Bilani, Jesenia M. Perez, Ana M. Aparicio et al.· Cancer Research Communicatio...· 0 citations
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
It is shown that metastasis-to-metastasis seeding is the dominant pattern of cancer spread and that increased polyclonal migration predicts poor prognosis, and that post-mortem cell-free DNA captures genomic and transcriptional heterogeneity of the subtypes, which provides a potential strategy for noninvasive assessmen...
P. Itagi, Samantha L. Schuster, Sonali Arora et al.· Nature· 0 citations
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