Spatially-Resolved Transcriptomics Define Clinically Relevant Subsets of Macrophages in Diffuse Large B-cell Lymphoma

Autor: Min Liu, Giorgio Bertolazzi, Kevin Mulder, Shruti Sridhar, Rui Xue Lee, Patrick Jaynes, Michal Marek Hoppe, Shuangyi Fan, Yanfen Peng, Jocelyn Thng, Reiya Chua, Sanjay De Mel, Limei Poon, Esther Chan, Joanne Lee, Susan Swee-Shan Hue, Siok-Bian Ng, K George Chandy, Florent Ginhoux, Yen Lin Chee, Claudio Tripodo, Anand D. Jeyasekharan
Rok vydání: 2023
Popis: BackgroundMacrophages are abundant immune cells in the microenvironment of diffuse large B-cell lymphoma (DLBCL). Conventional immunohistochemistry-based studies with varying prognostic significance precludes a comprehensive analysis of macrophage subtypes in DLBCL. We hypothesized that whole-transcriptomic analysis (WTA) of macrophage in-situ would identify new macrophage subsets of biological and clinical significances.MethodsDigital spatial profiling with WTA of CD68+ cells was performed in 47 DLBCL and 17 reactive lymphoid tissues (RLTs), to define macrophage signatures (termed “MacroSigs”) of distinct lymphoid spatial niches and clinical scenarios. Eight independent DLBCL datasets (4,594 patients) with transcriptomic and survival information were used for validation of MacroSigs.ResultsDigital spatial profiling revealed previously unrecognized transcriptomic differences between macrophages populating distinct spatial compartments in RLTs (light zone (LZ)/ dark zone (DZ), germinal center (GC)/ interfollicular (IF) regions), and in between disease states (RLTs and DLBCL with or without relapsed disease). This transcriptomic diversity of macrophages was categorized into eight MacroSigs. Spatial-MacroSigs associate with specific cell-of-origin (COO) subtypes of DLBCL, of particular interest being the IF-MacroSig enriched in the unclassified COO (PPPConclusionsThis study first provides spatially-resolved macrophage WTA in reactive and malignant lymphoid tissues. Gene expression signatures of macrophages in the DZ and relapsed-DLBCL samples are consistently prognostic in multiple datasets and offer insights into novel therapeutic strategies for DLBCL.
Databáze: OpenAIRE