Fc-enhanced anti-CTLA-4 targets tumor-infiltrating regulatory T cells to augment immune effects of androgen ablation in high-risk prostate cancer

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Authors: Aleksandar Obradovic, Casey R. Ager, Patrick McCann, Matthew G. Chaimowitz, Alexander Wang, Neha Shaikh, Parin Shah, Samuel S. Pan, Caroline J. Laplaca, Renu K. Virk, Collin Jugler, Grace E. DeFranco
+12 more Nilika Bhattacharya, Kade R. Copple, Howard Scher, Guarionex Joel DeCastro, Christopher Anderson, James M. McKiernan, Catherine Spina, Mark Stein, Karie D. Runcie, Charles G. Drake, Andrea Califano, Matthew Dallos
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Abstract

Single-cell RNA-Sequencing Data and analysis code used for analyses performed in the manuscript "Fc-enhanced anti-CTLA-4 depletes tumor-infiltrating regulatory T cells to augment immune effects of androgen ablation in high-risk prostate cancer". Includes combined raw gene expression counts matrix, batch-corrected normalized gene expression matrix, and metadata table including labels of PatientID ("patient"), Treatment group ("treatment") and Disease Recurrence status ("recurrence"). Also includes folder of ARACNe networks used to perform VIPER inference of protein activity, Seurat object of VIPER-inferred protein activity, with unsupervised cluster labelling "seurat_clusters" -- objects are included for whole-dataset as well as separately for sub-clustering on Lymphoid, Myeloid, and Tumor cells.

Publication details

Journal / source
Mendeley Data
Publication date
8 January 2026
Document type
Dataset