bioRxivCancer BiologyPreprint
Immune-cell depleted diffuse large B-cell lymphomas have reduced expression of MHC class I
Kanutte HuseiD, Yngvild Nuvin Blaker, Jillian Wise, Marie Hairing Enemark, Maare ArffmaniD, Ankush SharmaiD, Leo MerirantaiD, Sigve NakkeniD, Kathrine T. IsakseniD, Ivana SpasevskaiD, Vera I. Hilden, Chloé Beate SteeniD, David Warren, Bent HonoréiD, Klaus Beiske, Erlend Bremertun Smeland, Qiang Pan‐HammarströmiD, Maja LudvigseniD, Sirpa LeppäiD, Harald HolteiD, June H. MyklebustiD
Abstract
Immunotherapy has transformed treatment for many cancers. In the aggressive and genetically heterogeneous diffuse large B-cell lymphoma (DLBCL), CD19 CAR T-cell therapy is highly effective, whereas immune checkpoint blockade has shown limited benefit. Loss of MHC expression is a common mechanism to escape T-cell cytotoxicity, and loss of MHC class I (MHC-I) and II are frequent in DLBCL. We applied imaging mass cytometry to diagnostic biopsies from younger, high-risk DLBCL patients to map the tumor microenvironment (TME) spatial architecture in relation to tumor cell MHC expression, mutational status, transcriptomic and proteomic profiles. Neighborhood analyses identified four TME subtypes: immune-cell depleted and three immune-infiltrated types (mixed, CD4 T cell-rich, CD8 T-cell/macrophage-rich). Depleted cases had shorter overall survival (p = 0.033) and increased expression of proteins involved in DNA replication and proliferation markers compared to infiltrated cases. Tumor cell MHC-I expression was heterogeneous. Cases with low frequency of MHC-I-pos tumor cells were enriched for the depleted TME type. MHC-I-pos tumor cells were surrounded by CD4 and CD8 T cells and M1 macrophages, whereas MHC-I-neg tumor cells were closer to other MHC-I-neg tumor cells. These findings suggest that TME-based classification incorporating tumor cell MHC-I status may improve individualized immunotherapy selection.
- organism: human
- assay: proteomics
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: differential expression
- approach: microscopy & imaging analysis
- Citations
- 0
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