{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T18:03:23Z","timestamp":1789668203263,"version":"4.0.1"},"reference-count":0,"publisher":"American Society of Hematology","license":[{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["ashpublications.org"],"crossmark-restriction":true},"short-container-title":[],"abstract":"<jats:p>Large B cell lymphomas (LBCLs) exhibit significant heterogeneity which leads to disparate treatment response, with up to 40% of patients developing refractory disease or relapsing within the first two years. To understand the cellular and molecular basis of this heterogeneity, we performed single-cell RNA-seq, BCR-seq, and TCR-seq on LBCL tumor biopsies, generating an atlas of 63 LBCL cases, mostly classified as diffuse LBCL, not otherwise specified (DLBCL NOS). We identified five conserved transcriptional archetypes of malignant B cells that co-occur within individual tumors, with varying proportions across patients. Notably, high abundance of Archetype 4, characterized by memory B cell features and quiescence markers, correlated with poor event-free survival following standard immunochemotherapy, a finding which was validated in independent cohorts through deconvolution of bulk RNA-seq data. Our study provides a novel framework for patient stratification based on the quantification of malignant cellular states, with implications for precision therapy of LBCLs.<\/jats:p>","DOI":"10.1182\/blood.2026033056","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T17:07:32Z","timestamp":1789664852000},"update-policy":"https:\/\/doi.org\/10.1182\/blood.2019cm0000","source":"Crossref","is-referenced-by-count":0,"title":["A single-cell atlas of large B cell lymphomas reveals distinct malignant archetypes predictive of clinical outcomes"],"prefix":"10.1182","author":[{"given":"Sabrina","family":"Baaklini","sequence":"first","affiliation":[{"name":"Aix Marseille Universit\u00e9, CNRS, Inserm, Centre d'Immunologie de Marseille-Luminy, Marseille, France, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandre","family":"Sarrabay","sequence":"additional","affiliation":[{"name":"Aix Marseille Universit\u00e9, CNRS, Inserm, Centre 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