TIM-3 + CD8 T cells with a terminally exhausted phenotype retain functional capacity in hematological malignancies
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PROVIDER: PRJNA1091196 | ENA |
REPOSITORIES: ENA
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Project description:Chronic antigen stimulation is thought to generate dysfunctional CD8 T cells. Here we identify a CD8 T cell subset in the bone marrow tumor microenvironment that, despite an apparent terminally exhausted phenotype (TPHEX), expressed granzymes, perforin, and IFNγ. Concurrent gene expression and DNA accessibility revealed that genes encoding these functional proteins correlated with BATF expression and motif accessibility. IFNγ+ TPHEX effectively killed myeloma with comparable efficacy to transitory effectors, and disease progression correlated with numerical deficits in IFNγ+ TPHEX. We also observed IFNγ+ TPHEX within CD19-targeted chimeric antigen receptor T cells, which killed CD19+ leukemia cells. Importantly, an IFNγ+ TPHEX gene signature was recapitulated in TEX cells from human cancers, including myeloma and lymphoma. Here we characterize a TEX subset in hematological malignancies that paradoxically retains function and is distinct from dysfunctional TEX found in chronic viral infections. Thus, IFNγ+ TPHEX represent a potential target for immunotherapy of blood cancers.
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Project description:Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by targeted therapy with chimeric antigen or T-cell receptor-engineered T-cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. In this study, we performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN-γ to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlation between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers. Microarray gene expression analysis was performed on hematological malignancies of different origins and their healthy hematopoietic counterparts as well as on healthy non-hematopoietic cell types from organs that are often targeted in Graft-versus-Host Disease (166 samples in total). Various non-hematopoietic cell types were cultured in the presence of IFN-γ or T-cell culture supernatant to allow gene expression analysis under inflammatory conditions. Malignant and healthy hematopoietic cells were isolated by flow cytometry based on expression of specific surface markers and healthy non-hematopoietic cell types were isolated or cultured from tissue biopsies or surgically removed specimen. Various non-hematopoietic cell types were in vitro cultured for 4 days in the presence of IFN-γ or T-cell culture supernatant to mimic inflammation. The dataset allows comparison of gene expression between hematological malignancies and healthy non-hematopoietic cell types to estimate efficacy and toxicity of immunotherapeutic targets for hematological malignancies. Total RNA was isolated from (malignant) hematopoietic cells isolated by flow cytometry based on expression of specific surface markers and from healthy non-hematopoietic cell types isolated or cultured from tissue biopsies or surgically removed specimen. From various non-hematopoietic cell types, total RNA was also isolated after 4 days of in vitro culture in the presence of IFN-γ or T-cell culture supernatant.
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Project description:TET2 is one of the most frequently mutated genes in hematological malignancies. TET2 mutations are also frequently observed in healthy individuals with clonal hematopoiesis. Additional factors, such as inflammatory stress, might promote the expansion and initiate the pre-leukemic condition of Tet2 deficient hematopoietic stem cells. Antibiotics treatment is frequently used in normal individuals and patients with hematological malignancies treatment to suppress infection-induced inflammation. However, prolonged antibiotics treatment resulted in bone marrow suppression and gut microbiota alteration. In our study, we observed that the expansion of Tet2 deficient myeloid cells are positively correlated with serum cytokine levels at pre-malignant stages. We then evaluated the effect of antibiotic treatment in Tet2 deficient myeloid and lymphoid tumors in vivo. We found that antibiotics treatment suppressed the growth of Tet2 deficient malignant cells in vivo. RNA-seq analysis revealed significant changes in immune related signaling pathways (e.g., Tnf-α signaling) in antibiotics treated Tet2 deficient myeloid and lymphoid tumor cells. Suppression of Tnf-α signaling using pharmacological inhibitors partially suppressed Tet2 deficient tumor cell growth in vivo. In summary, our results suggest that the expansion of Tet2 deficient blood cells are positively associated with a pre-inflammatory condition and suppression of inflammatory pathways may attenuate the progression of TET2 inactivation-associated hematological malignancies.
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Project description:Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by targeted therapy with chimeric antigen or T-cell receptor-engineered T-cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. In this study, we performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN-γ to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlation between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers. Microarray gene expression analysis was performed on hematological malignancies of different origins and their healthy hematopoietic counterparts as well as on healthy non-hematopoietic cell types from organs that are often targeted in Graft-versus-Host Disease (166 samples in total). Various non-hematopoietic cell types were cultured in the presence of IFN-γ or T-cell culture supernatant to allow gene expression analysis under inflammatory conditions. Malignant and healthy hematopoietic cells were isolated by flow cytometry based on expression of specific surface markers and healthy non-hematopoietic cell types were isolated or cultured from tissue biopsies or surgically removed specimen. Various non-hematopoietic cell types were in vitro cultured for 4 days in the presence of IFN-γ or T-cell culture supernatant to mimic inflammation. The dataset allows comparison of gene expression between hematological malignancies and healthy non-hematopoietic cell types to estimate efficacy and toxicity of immunotherapeutic targets for hematological malignancies.
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