Deep learning-based automated detection and quantification of micrometastases and therapeutic antibody targeting down to the level of single disseminated cancer cells provides unbiased analysis of multiple metastatic cancer models at the full-body scale.
Prostate cancer (PCa) remains a significant public health challenge in the United States, disproportionately affecting African American (AA) men, who face higher incidence rates, more…
“When I meet patients who tell me: ‘You saved my life,’ it is an unforgettable moment.” Read about laureates James P. Allison and Tasuku Honjo…
Spatial transcriptomics (ST) combines single-cell RNA-seq gene expression data with spatial coordinates to provide an accurate, 2D picture of gene expression across a tissue sample.…
The androgen receptor (AR) is a master regulator in prostate cancer, but the relevance of its truncated variants remains unclear. Using patient-derived models, we demonstrated…
Abstract. The development of treatment resistance remains universal for patients with metastatic prostate cancer, driven by AR alterations and lineage state transitions. Identifying the evolution…
Abstract. The development of treatment resistance remains universal for patients with metastatic prostate cancer, driven by AR alterations and lineage state transitions. Identifying the evolution…
ID3 defines stem-like T cells with high developmental potential that sustain T cell responses to chronic infection and cancer.
Cheers to a year of breakthroughs at Atlasxomics—and an even more innovative 2025 ahead! Together, let’s push the boundaries of discovery. #epigenetics…
Understanding how prostate cancers adapt to AR-targeted interventions is critical for identifying novel drug targets to improve the clinical management of treatment-resistant disease. Our study…
Toni Choueiri: Honored by the King Hussein Cancer Foundation / cancer, Dana-Farber Cancer Institute, DFCI, HRH Princess Ghida Talal, King Hussein Cancer
