← BioTransfer GEO Dataset Finder
GEO series

B-cell depletion improves therapeutic index of combination checkpoint blockade in patients with advanced melanoma

GSE335494 Homo sapiens Expression profiling by high throughput sequencing; Other 44 samples Submitted 2026/08/07 Platform GPL24676
Summary
Combined checkpoint blockade (CCB) of programmed-death-1 (PD-1) and cytotoxic-T-lymphocyte-associated protein-4 (CTLA-4) is highly active in melanoma but limited by significant morbidity from immune-related adverse events (irAEs). Effective strategies toprevent CCB-mediated irAEs are lacking. Patients with advanced melanoma were randomly assigned to receive standard of care ipilimumab and nivolumab alone (Arm-A: ipi/nivo, n=7) or with one cycle of rituximab (Arm-B; ipi/nivo+rituximab, n=7). Patients receiving ipi/nivo+rituximab experienced lower rates of >grade-3(G3) irAEs (14% versus 57%) and superior G3-irAE-free survival compared to those in ipi/nivo arm (2-year G3- irAE-free survival 86% versus 29% (p=0.01), without adverse impact on tumor regression or survival. Rituximab depleted pre-therapy activated naïve B cells linked to autoimmunity and enhanced CCB-mediated induction of myeloid inflammation and CXCL13+ICOS+ CD4 T cells. B-cell depletion favorably modulates CCB-mediated immune activation and reduces irAE risk.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE335494_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 44 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1478643 and SRA study SRP709746. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

Read from the first 40 of 44 sample titles: 40 distinct titles with little repetition. Check it against the sample list below before relying on it.

Samples in this study

+ 4 more — browse all 44 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.