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Worel N, Grabmeier-Pfistershammer K, Kratzer B, Schlager M, Tanzmann A, Rottal A, Körmöczi U, Porpaczy E, Staber PB, Skrabs C, Herkner H, Gudipati V, Huppa JB, Salzer B, Lehner M, Saxenhuber N, Friedberg E, Wohlfarth P, Hopfinger G, Rabitsch W, Simonitsch-Klupp I, Jäger U, Pickl WF. The frequency of differentiated CD3 +CD27 -CD28 - T cells predicts response to CART cell therapy in diffuse large B-cell lymphoma. Front Immunol 2023; 13:1004703. [PMID: 36700229 PMCID: PMC9868136 DOI: 10.3389/fimmu.2022.1004703] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 11/28/2022] [Indexed: 01/11/2023] Open
Abstract
Background Chimeric antigen receptor T (CART) cell therapy targeting the B cell specific differentiation antigen CD19 has shown clinical efficacy in a subset of relapsed/refractory (r/r) diffuse large B cell lymphoma (DLBCL) patients. Despite this heterogeneous response, blood pre-infusion biomarkers predicting responsiveness to CART cell therapy are currently understudied. Methods Blood cell and serum markers, along with clinical data of DLBCL patients who were scheduled for CART cell therapy were evaluated to search for biomarkers predicting CART cell responsiveness. Findings Compared to healthy controls (n=24), DLBCL patients (n=33) showed significant lymphopenia, due to low CD3+CD4+ T helper and CD3-CD56+ NK cell counts, while cytotoxic CD3+CD8+ T cell counts were similar. Although lymphopenic, DLBCL patients had significantly more activated HLA-DR+ (P=0.005) blood T cells and a higher frequency of differentiated CD3+CD27-CD28- (28.7 ± 19.0% versus 6.6 ± 5.8%; P<0.001) T cells. Twenty-six patients were infused with CART cells (median 81 days after leukapheresis) and were analyzed for the overall response (OR) 3 months later. Univariate and multivariate regression analyses showed that low levels of differentiated CD3+CD27-CD28- T cells (23.3 ± 19.3% versus 35.1 ± 18.0%) were independently associated with OR. This association was even more pronounced when patients were stratified for complete remission (CR versus non-CR: 13.7 ± 11.7% versus 37.7 ± 17.4%, P=0.001). A cut-off value of ≤ 18% of CD3+CD27-CD28- T cells predicted CR at 12 months with high accuracy (P<0.001). In vitro, CD3+CD8+CD27-CD28- compared to CD3+CD8+CD27+CD28+ CART cells displayed similar CD19+ target cell-specific cytotoxicity, but were hypoproliferative and produced less cytotoxic cytokines (IFN-γ and TNF-α). CD3+CD8+ T cells outperformed CD3+CD4+ T cells 3- to 6-fold in terms of their ability to kill CD19+ target cells. Interpretation Low frequency of differentiated CD3+CD27-CD28- T cells at leukapheresis represents a novel pre-infusion blood biomarker predicting a favorable response to CART cell treatment in r/r DLBCL patients.
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Affiliation(s)
- Nina Worel
- Department of Blood Group Serology and Transfusion Medicine, Medical University of Vienna, Vienna, Austria
| | | | - Bernhard Kratzer
- Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Martina Schlager
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Andreas Tanzmann
- Department of Blood Group Serology and Transfusion Medicine, Medical University of Vienna, Vienna, Austria
| | - Arno Rottal
- Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Ulrike Körmöczi
- Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Edit Porpaczy
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Philipp B. Staber
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Cathrin Skrabs
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Harald Herkner
- Department of Emergency Medicine, Medical University of Vienna, Vienna, Austria
| | - Venugopal Gudipati
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Johannes B. Huppa
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria
| | - Benjamin Salzer
- Christian Doppler Laboratory for Next Generation CAR T Cells, St. Anna Children´s Cancer Research Institute, Vienna, Austria
| | - Manfred Lehner
- Christian Doppler Laboratory for Next Generation CAR T Cells, St. Anna Children´s Cancer Research Institute, Vienna, Austria
| | - Nora Saxenhuber
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Eleonora Friedberg
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Philipp Wohlfarth
- Department of Medicine I, Division of Blood and Bone Marrow Transplantation, Medical University of Vienna, Vienna, Austria
| | - Georg Hopfinger
- Department of Medicine I, Division of Blood and Bone Marrow Transplantation, Medical University of Vienna, Vienna, Austria
| | - Werner Rabitsch
- Department of Medicine I, Division of Blood and Bone Marrow Transplantation, Medical University of Vienna, Vienna, Austria
| | | | - Ulrich Jäger
- Department of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Winfried F. Pickl
- Institute of Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria,*Correspondence: Winfried F. Pickl,
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Minghan Q, Shan W, Xinrui C, Huaqing W. Update on diffuse large B-cell lymphoma: highlights from the 2022 ASCO Annual Meeting. Cancer Biol Med 2022; 19:j.issn.2095-3941.2022.0403. [PMID: 36069539 PMCID: PMC9425190 DOI: 10.20892/j.issn.2095-3941.2022.0403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Qiu Minghan
- Department of Oncology, Tianjin Union Medical Center, Nankai University, Tianjin 300191, China.,The Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin 300121, China
| | - Wu Shan
- Department of Oncology, Tianjin Union Medical Center, Nankai University, Tianjin 300191, China.,The Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin 300121, China
| | - Chen Xinrui
- Department of Oncology, Tianjin Union Medical Center, Nankai University, Tianjin 300191, China.,The Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin 300121, China
| | - Wang Huaqing
- Department of Oncology, Tianjin Union Medical Center, Nankai University, Tianjin 300191, China.,The Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin 300121, China
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Zheng X, Zhou X, Xu H, Jin D, Yang L, Shen B, Qiu S, Ai J, Wei Q. A Novel Immune-Gene Pair Signature Revealing the Tumor Microenvironment Features and Immunotherapy Prognosis of Muscle-Invasive Bladder Cancer. Front Genet 2021; 12:764184. [PMID: 34899849 PMCID: PMC8664435 DOI: 10.3389/fgene.2021.764184] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/04/2021] [Indexed: 02/05/2023] Open
Abstract
Immunotherapy has been a milestone for muscle-invasive bladder cancer (MIBC), but only a small portion of patients can benefit from it. Therefore, it is crucial to develop a robust individualized immune-related signature of MIBC to identify patients potentially benefiting from immunotherapy. The current study identified patients from the Cancer Genome Atlas (TCGA) and immune genes from the ImmPort database, and used improved data analytical methods to build up a 45 immune-related gene pair signature, which could classify patients into high-risk and low-risk groups. The signature was then independently validated by a Gene Expression Omnibus (GEO) dataset and IMvigor210 data. The subsequent analysis confirmed the worse survival outcomes of the high-risk group in both training (p < 0.001) and validation cohorts (p = 0.018). A signature-based risk score was proven to be an independent risk factor of overall survival (p < 0.001) and could predict superior clinical net benefit compared to other clinical factors. The CIBERSORT algorithm revealed the low-risk group had increased CD8+ T cells plus memory-activated CD4+ T-cell infiltration. The low-risk group also had higher expression of PDCD1 (PD-1), CD40, and CD27, and lower expression of CD276 (B7-H3) and PDCD1LG2 (PD-L2). Importantly, IMvigor210 data indicated that the low-risk group had higher percentage of “inflamed” phenotype plus less “desert” phenotype, and the survival outcomes were significantly better for low-risk patients after immunotherapy (p = 0.014). In conclusion, we proposed a novel and promising prognostic immune-related gene pair (IRGP) signature of MIBC, which could provide us a panoramic view of the tumor immune microenvironment of MIBC and independently identify MIBC patients who might benefit from immunotherapy.
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Affiliation(s)
- Xiaonan Zheng
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China.,Institute of Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Xianghong Zhou
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Hang Xu
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Di Jin
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Yang
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Bairong Shen
- Institute of Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Shi Qiu
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China.,Center of Biomedical Big Data, West China Hospital, Sichuan University, Chengdu, China
| | - Jianzhong Ai
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Wei
- Department of Urology, West China Hospital, Sichuan University, Chengdu, China
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