Nature Communications · 2022 · 33 citations · 55 references
MedicineOncologyPathologyCancer ImmunologyMolecular OncologyTumor ProgressionB Cell BiologyLymphoid NeoplasmsLymphoid TumorsSingle-cell GenomicsSingle-cell Variant AnalysisTumor AntigensB-cell SignaturesFollicular Helper T CellsFollicular Lymphoma BiologyIntratumoral DiversityLymphoma PathogenesisMass CytometryPhenotypic ProfilingPrognostic Biomarkers
Follicular lymphoma (FL) is an indolent cancer of mature B-cells but with ongoing risk of transformation to more aggressive histology over time. Recurrent mutations associated with transformation have been identified; however, prognostic features that can be discerned at diagnosis could be clinically useful. We present here comprehensive profiling of both tumor and immune compartments in 155 diagnostic FL biopsies at single-cell resolution by mass cytometry. This revealed a diversity of phenotypes but included two recurrent patterns, one which closely resembles germinal center B-cells (GCB) and another which appears more related to memory B-cells (MB). GCB-type tumors are enriched for EZH2, TNFRSF14, and MEF2B mutations, while MB-type tumors contain increased follicular helper T-cells. MB-type and intratumoral phenotypic diversity are independently associated with increased risk of transformation, supporting biological relevance of these features. Notably, a reduced 26-marker panel retains sufficient information to allow phenotypic profiling of future cohorts by conventional flow cytometry.
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HTSeq—a Python framework to work with high-throughput sequencing data
Simon Anders, Paul Theodor Pyl, Wolfgang Huber · Bioinformatics · 2014 · 22.7K citations · Full text
Lawrence J. Hubert, Phipps Arabie · Journal of Classification · 1985 · 7.7K citations
Dimensionality reduction for visualizing single-cell data using UMAP
Étienne Becht, Leland McInnes, John Healy et al. · Nature Biotechnology · 2018 · 5.8K citations