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Wu M, Li A, Zhang T, Ding W, Wei Y, Wan C, Ke B, Cheng H, Jin C, Kong C. The novel prognostic analysis of AML based on ferroptosis and cuproptosis related genes. J Trace Elem Med Biol 2024; 86:127517. [PMID: 39270538 DOI: 10.1016/j.jtemb.2024.127517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/27/2024] [Accepted: 08/28/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Acute myeloid leukemia (AML) is a hematological malignancy. The aim of this research was to develop a ferroptosis and cuproptosis related novel prognostic signature associated with AML. METHODS The ferroptosis and cuproptosis related genes correlated with the prognosis of AML were identified by univariate Cox analysis. The consistent cluster analysis was performed for 150 AML patients in TCGA dataset. The key module genes associated with GSVA score of ferroptosis and cuproptosis were identified by WGCNA. univariate Cox and LASSO regression analysis were adopted to build a ferroptosis and cuproptosis AML prognostic signature. Finally, the expression of five prognostic genes in clinical tissue samples were verified by RT-qPCR. RESULTS A grand total of 27 FCRGs associated with AML prognosis were identified.Then, two AML sub-types with significantly different survival were obtained. We found 3 significantly differential expressed immune cells (naive CD4 cells, regulatory T cells and resting mast cells) between two risk sub-groups. Meanwhile, 'IL6 JAK STAT3 signaling' and 'P53 pathway' were enriched in low-risk group. A ferroptosis and cuproptosis related prognostic signature was build based on 8 prognostic genes. RT-qPCR results indicated that there was no significant difference in the expression of OLFML2A and CD109 between AML and normal samples. However, compared to the control group, LGALS1, SOCS1, and RHOC showed significantly lower expression in the AML group. CONCLUSION The prognostic signature comprised of OLFML2A, LGALS1, ABCB11, SOCS1, RHOC, CD109, RD3L and PTPN13 based on ferroptosis and cuproptosis was established, which provided theoretical basis for the research of AML.
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Affiliation(s)
- Mei Wu
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Anan Li
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Tingting Zhang
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Weirong Ding
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Yujing Wei
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Caishui Wan
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Bo Ke
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Hongbo Cheng
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Chenghao Jin
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
| | - Chunfang Kong
- Department of Hematology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Hematologic Diseases, Nanchang 330006, China
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Soochow 215006, China,
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Sun K, Shi ZY, Wang YZ, Xie DH, Liu YR, Jiang Q, Jiang H, Huang XJ, Qin YZ. The profile and prognostic significance of bone marrow T-cell differentiation subsets in adult AML at diagnosis. Front Immunol 2024; 15:1418792. [PMID: 39100667 PMCID: PMC11294180 DOI: 10.3389/fimmu.2024.1418792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 07/05/2024] [Indexed: 08/06/2024] Open
Abstract
Background T lymphocytes in tumor microenvironment play a pivotal role in the anti-tumor immunity, and the memory of T cells contributes to the long-term protection against tumor antigens. Compared to solid tumors, studies focusing on the T-cell differentiation in the acute myeloid leukemia (AML) bone marrow (BM) microenvironment remain limited. Patients and methods Fresh BM specimens collected from 103 adult AML patients at diagnosis and 12 healthy donors (HDs) were tested T-cell differentiation subsets by multi-parameter flow cytometry. Results CD4 and CD8 T-cell compartments had different constituted profiles of T-cell differentiated subsets, which was similar between AML patients and HDs. Compared to HDs, AML patients as a whole had a significantly higher proportion of CD8 effector T cells (Teff, P = 0.048). Moreover, the T-cell compartment of AML patients with no DNMT3A mutations skewed toward terminal differentiation at the expense of memory T cells (CD4 Teff: P = 0.034; CD8 Teff: P = 0.030; CD8 memory T: P = 0.017), whereas those with mutated DNMT3A had a decrease in CD8 naïve T (Tn) and CD4 effector memory T cells (Tem) as well as an increase in CD4 central memory T cells (Tcm) (P = 0.037, 0.053 and 0.053). Adverse ELN genetic risk correlated with a lower proportion of CD8 Tn. In addition, the low proportions of CD4 Tem and CD8 Tn independently predicted poorer relapse-free survival (RFS, HR [95%CI]: 5.7 (1.4-22.2), P = 0.017 and 4.8 [1.3-17.4], P = 0.013) and event-free survival (EFS, HR [95% CI]: 3.3 (1.1-9.5), P = 0.029; 4.0 (1.4-11.5), P = 0.010), respectively. Conclusions AML patients had abnormal profiles of BM T-cell differentiation subsets at diagnosis, which was related to DNMT3A mutations. The low proportions of CD4 Tem and CD8 Tn predicted poor outcomes.
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Pagliuca S, Schmid C, Santoro N, Simonetta F, Battipaglia G, Guillaume T, Greco R, Onida F, Sánchez-Ortega I, Yakoub-Agha I, Kuball J, Hazenberg MD, Ruggeri A. Donor lymphocyte infusion after allogeneic haematopoietic cell transplantation for haematological malignancies: basic considerations and best practice recommendations from the EBMT. Lancet Haematol 2024; 11:e448-e458. [PMID: 38796194 DOI: 10.1016/s2352-3026(24)00098-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 05/28/2024]
Abstract
Since the early description of three patients with relapsed leukaemia after allogeneic haematopoietic cell transplantation (HCT) who obtained complete remission after donor lymphocyte infusions (DLIs), the added value of this procedure to induce or maintain graft-versus-leukaemia immunity has been undisputed. For more than 30 years, DLIs have become common practice as prophylactic, pre-emptive, or therapeutic immunotherapy. However, as with many aspects of allogeneic HCT, centres have developed their own routines and practices, and many questions related to the optimal applications and toxicity, or to the immunobiology of DLI induced tumour-immunity, remain. As a part of the Practice Harmonization and Guidelines Committee and the Cellular Therapy and Immunobiology Working Party of the European Society for Blood and Marrow Transplantation effort, a panel of experts with clinical and translational knowledge in transplantation immunology and cellular therapy met during a 2-day workshop in September, 2023, in Lille, France, and developed a set of consensus-based recommendations for the application of unmanipulated DLI after allogeneic HCT for haematological malignancies. Given the absence of prospective data in the majority of publications, these recommendations are mostly based on retrospective studies and expert consensus.
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Affiliation(s)
- Simona Pagliuca
- Department of Hematology, Nancy University Hospital, Nancy, France; UMR 7365, IMoPA, Lorraine University, CNRS, Vandœuvre-lès-Nancy, France
| | - Christoph Schmid
- Department of Haematology and Oncology, Augsburg University Hospital and Medical Faculty Comprehensive Cancer Center, Bavarian Cancer Research Center, Augsburg, Germany
| | - Nicole Santoro
- Haematology Unit, Department of Oncology and Hematology, Santo Spirito Hospital, Pescara, Italy
| | - Federico Simonetta
- Division of Haematology, Department of Oncology, Geneva University Hospitals, Geneva, Switzerland
| | - Giorgia Battipaglia
- Haematology Department and Department of Clinical Medicine and Surgery, Federico II University of Naples, Naples, Italy
| | - Thierry Guillaume
- Division of Haematology, Nantes University Hospital, Nantes, France; INSERM U1232 CNRS, CRCINA, Nantes, France
| | - Raffaella Greco
- Haematology and BMT Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Onida
- Haematology and BMT Unit, ASST Fatebenefratelli Sacco, University of Milan, Milan, Italy
| | | | | | - Jurgen Kuball
- Department of Haematology and Center for Translational Immunology, UMC Utrecht, Utrecht, Netherlands
| | - Mette D Hazenberg
- Department of Haematology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Annalisa Ruggeri
- Haematology and BMT Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Odak I, Bayir LM, Riemann L, Sikora R, Schneider J, Xiao Y, Möhn N, Skripuletz T, Beutel G, Eder M, Ganser A, Förster R, Schultze-Florey CR, Koenecke C. Brief research report: in-depth immunophenotyping reveals stability of CD19 CAR T-cells over time. Front Immunol 2024; 15:1298598. [PMID: 38318174 PMCID: PMC10839090 DOI: 10.3389/fimmu.2024.1298598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/08/2024] [Indexed: 02/07/2024] Open
Abstract
Variability or stability might have an impact on treatment success and toxicity of CD19 CAR T-cells. We conducted a prospective observational study of 12 patients treated with Tisagenlecleucel for CD19+ B-cell malignancies. Using a 31-color spectral flow cytometry panel, we analyzed differentiation stages and exhaustion markers of CAR T-cell subsets prior to CAR T-cell infusion and longitudinally during 6 months of follow-up. The majority of activation markers on CAR T-cells showed stable expression patterns over time and were not associated with response to therapy or toxicity. Unsupervised cluster analysis revealed an immune signature of CAR T-cell products associated with the development of immune cell-associated neurotoxicity syndrome. Warranting validation in an independent patient cohort, in-depth phenotyping of CAR T-cell products as well as longitudinal monitoring post cell transfer might become a valuable tool to increase efficacy and safety of CAR T-cell therapy.
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Affiliation(s)
- Ivan Odak
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Lâle M. Bayir
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Lennart Riemann
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Ruth Sikora
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Jessica Schneider
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Yankai Xiao
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Nora Möhn
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | - Gernot Beutel
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Matthias Eder
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Arnold Ganser
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Reinhold Förster
- Institute of Immunology, Hannover Medical School, Hannover, Germany
| | - Christian R. Schultze-Florey
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
| | - Christian Koenecke
- Institute of Immunology, Hannover Medical School, Hannover, Germany
- Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany
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Cloos J. Understanding differential technologies for detection of MRD and how to incorporate into clinical practice. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2023; 2023:682-690. [PMID: 38066915 PMCID: PMC10727023 DOI: 10.1182/hematology.2023000454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Patient- and leukemia-specific factors assessed at diagnosis classify patients with acute myeloid leukemia (AML) in risk categories that are prognostic for outcome. The induction phase with intensive chemotherapy in fit patients aims to reach a complete remission (CR) of less than 5% blasts in bone marrow by morphology. To deepen and sustain the response, induction is followed by consolidation treatment. This postremission treatment of patients with AML is graduated in intensity based on this favorable, intermediate, or adverse risk group classification as defined in the European Leukemia Network (ELN) 2022 recommendations. The increment of evidence that measurable residual disease (MRD) after induction can be superimposed on risk group at diagnosis is instrumental in tailoring further treatment accordingly. Several techniques are applied to detect MRD such as multiparameter flow cytometry (MFC), quantitative (digital) polymerase chain reaction (PCR), and next-generation sequencing. The clinical implementation of MRD and the technique used differ among institutes, leading to the accumulation of a wide range of data, and therefore harmonization is warranted. Currently, evidence for MRD guidance is limited to the time point after induction using MFC or quantitative PCR for NPM1 and core binding factor abnormalities in intermediate-risk patients. The role of MRD in targeted or nonintensive therapies needs to be clarified, although some data show improved survival in patients achieving CR-MRD negativity. Potential application of MRD for selection of conditioning before stem cell transplantation, monitoring after consolidation, and use as an intermediate end point in clinical trials need further evaluation.
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Affiliation(s)
- Jacqueline Cloos
- Department of Hematology, Cancer Center Amsterdam, Amsterdam UMC, location VUMC, Amsterdam, the Netherlands
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Brestoff JR. Full spectrum flow cytometry in the clinical laboratory. Int J Lab Hematol 2023; 45 Suppl 2:44-49. [PMID: 37211417 PMCID: PMC10330381 DOI: 10.1111/ijlh.14098] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/05/2023] [Indexed: 05/23/2023]
Abstract
Contemporary full spectrum or "spectral" flow cytometry is a recently developed technology that allows for high-dimensional flow cytometric analyses of cells and particles in suspension. This single-cell technology has gained popularity in research settings because it can conservatively detect 35 or more antigens simultaneously in a single-tube assay format. Recently, spectral flow cytometry has obtained regulatory approval for use as an in vitro diagnostic device in China and Europe, enabling use of this technology in some clinical flow cytometry laboratories. The purpose of this review is to describe the basic principles of conventional and spectral flow cytometry, contrasting these two technologies. To illustrate the analytic power of spectral flow cytometry, we provide an example of spectral flow cytometry data analyses and the use of a machine learning algorithm to harvest the vast amount of information contained within large spectral flow cytometry datasets. Finally, we discuss the advantages of spectral flow cytometry adoption in clinical laboratories and preliminary studies comparing the performance of this technology relative to conventional flow cytometers that are currently used in clinical laboratory environments.
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Affiliation(s)
- Jonathan R. Brestoff
- Division of Laboratory and Genomic Medicine, Department of Pathology & Immunology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
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