{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T22:32:31Z","timestamp":1790893951435,"version":"4.1.0"},"reference-count":60,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:00:00Z","timestamp":1765497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Diffuse large B-cell lymphoma (DLBCL) exhibits immunological heterogeneity that influences outcomes of immunochemotherapy, with CD8+ T cells playing a critical role in patient prognosis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We integrated single-cell and bulk transcriptome data to establish a CD8\u207a T cell\u2013associated prognostic signature. Single-cell RNA sequencing data from 29 samples (28 individuals), including DLBCL and reactive lymph nodes\/tonsils, were analyzed to characterize CD8\u207a T cell heterogeneity, identify distinct subsets, and screen differentially expressed genes. Least absolute shrinkage and selection operator (LASSO) regression combined with multivariable Cox analysis was applied to bulk RNA-seq datasets to construct a prognostic model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Analysis of 19,483 CD8\u207a T cells revealed eight transcriptionally distinct subsets, from which 48 genes were associated with clinical outcomes. Eight prognostic genes were incorporated into a CD8\u207a T cell\u2013related signature, with higher CD69 and CD70 expression correlating with inferior survival. The signature effectively stratified patients into high- and low-risk groups that differed in cell-of-origin subtype, mutational landscape, and immune microenvironment characteristics. Moreover, the model showed potential to predict baseline response to chimeric antigen receptor T-cell (CAR-T) therapy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study highlights CD8+ T cell heterogeneity in DLBCL and establishes a prognostic gene signature that informs patient survival prediction and CAR-T therapy efficacy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fimmu.2025.1685541","type":"journal-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T06:32:39Z","timestamp":1765521159000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Single-cell and bulk transcriptomics reveal a CD8+ T-cell gene signature predicting prognosis in diffuse large B-cell 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