Salvage Autologous Transplant in Relapsed Multiple Myeloma: Long-Term Follow-Up of the Phase 3 GMMG ReLApsE Trial.

The multicenter, phase III GMMG ReLApsE trial (EudraCT-No:2009-013856-61) randomized relapsed and/or refractory multiple myeloma (RRMM) patients equally to lenalidomide/dexamethasone (LEN/DEX, 25mg days 1-21/40mg weekly, 4-week cycles) re-induction, salvage high dose chemotherapy (sHDCT, melphalan 200mg/m2), autologous stem cell transplantation (ASCT) and LEN maintenance (10mg/day; transplant arm, n=139) versus continuous LEN/DEX (control arm, n=138). Ninety-four percent of patients had received frontline HDCT/ASCT. We report an updated analysis of survival endpoints with a median follow-up of 99 months.

Multimodal and spatially resolved profiling identifies distinct patterns of T cell infiltration in nodal B cell lymphoma entities.

The redirection of T cells has emerged as an attractive therapeutic principle in B cell non-Hodgkin lymphoma (B-NHL). However, a detailed characterization of lymphoma-infiltrating T cells across B-NHL entities is missing. Here we present an in-depth T cell reference map of nodal B-NHL, based on cellular indexing of transcriptomes and epitopes, T cell receptor sequencing, flow cytometry and multiplexed immunofluorescence applied to 101 lymph nodes from patients with diffuse large B cell, mantle cell, follicular or marginal zone lymphoma, and from healthy controls.

T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response.

Antigen-specific T cells traffic to, are influenced by, and create unique cellular microenvironments. Here we characterize these microenvironments over time with multiplexed imaging in a melanoma model of adoptive T cell therapy and human patients with melanoma treated with checkpoint inhibitor therapy. Multicellular neighborhood analysis reveals dynamic immune cell infiltration and inflamed tumor cell neighborhoods associated with CD8 T cells.

A real-time GPU-accelerated parallelized image processor for large-scale multiplexed fluorescence microscopy data.

Highly multiplexed, single-cell imaging has revolutionized our understanding of spatial cellular interactions associated with health and disease. With ever-increasing numbers of antigens, region sizes, and sample sizes, multiplexed fluorescence imaging experiments routinely produce terabytes of data. Fast and accurate processing of these large-scale, high-dimensional imaging data is essential to ensure reliable segmentation and identification of cell types and for characterization of cellular neighborhoods and inference of mechanistic insights.