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Nakako S, Okamura H, Yokota I, Umemoto Y, Horiuchi M, Sakatoku K, Ido K, Makuuchi Y, Kuno M, Takakuwa T, Nishimoto M, Hirose A, Nakamae M, Nakashima Y, Koh H, Hino M, Nakamae H. Dynamic Relapse Prediction by Peripheral Blood WT1mRNA after Allogeneic Hematopoietic Cell Transplantation for Myeloid Neoplasms. Transplant Cell Ther 2024:S2666-6367(24)00587-6. [PMID: 39147137 DOI: 10.1016/j.jtct.2024.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 08/06/2024] [Accepted: 08/06/2024] [Indexed: 08/17/2024]
Abstract
Although various relapse prediction models based on pretransplant information have been reported, they cannot update the predictive probability considering post-transplant patient status. Therefore, these models are not appropriate for deciding on treatment adjustment and preemptive intervention during post-transplant follow-up. A dynamic prediction model can update the predictive probability by considering the information obtained during follow-up. This study aimed to develop and assess a dynamic relapse prediction model after allogeneic hematopoietic cell transplantation (allo-HCT) for acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) using peripheral blood Wilms' tumor 1 messenger RNA (WT1mRNA). We retrospectively analyzed patients with AML or MDS who underwent allo-HCT at our institution. To develop dynamic models, we employed the landmarking supermodel approach, using age, refined disease risk index, conditioning intensity, and number of transplantations as pretransplant covariates and both pre- and post-transplant peripheral blood WT1mRNA levels as time-dependent covariates. Finally, we compared the predictive performances of the conventional and dynamic models by area under the time-dependent receiver operating characteristic curves. A total of 238 allo-HCT cases were included in this study. The dynamic model that considered all pretransplant WT1mRNA levels and their kinetics showed superior predictive performance compared to models that considered only pretransplant covariates or factored in both pretransplant covariates and post-transplant WT1mRNA levels without their kinetics; their time-dependent areas under the curve were 0.89, 0.73, and 0.87, respectively. The predictive probability of relapse increased gradually from approximately 90 days before relapse. Furthermore, we developed a web application to make our model user-friendly. This model facilitates real-time, highly accurate, and personalized relapse prediction at any time point after allo-HCT. This will aid decision-making during post-transplant follow-up by offering objective relapse forecasts for physicians.
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Affiliation(s)
- Soichiro Nakako
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Okamura
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan; Department of Laboratory Medicine and Medical Informatics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.
| | - Isao Yokota
- Department of Biostatistics, Graduate School of Medicine, Hokkaido University, Hokkaido, Japan
| | - Yukari Umemoto
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Mirei Horiuchi
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Kazuki Sakatoku
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Kentaro Ido
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan; Department of Laboratory Medicine and Medical Informatics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Yosuke Makuuchi
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Masatomo Kuno
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Teruhito Takakuwa
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Mitsutaka Nishimoto
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Asao Hirose
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Mika Nakamae
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan; Department of Laboratory Medicine and Medical Informatics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Yasuhiro Nakashima
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Hideo Koh
- Department of Preventive Medicine and Environmental Health, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Masayuki Hino
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan; Department of Laboratory Medicine and Medical Informatics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Hirohisa Nakamae
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
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Wu J, Yan H, Xiang C. Wilms' tumor gene 1 in hematological malignancies: friend or foe? Hematology 2023; 28:2254557. [PMID: 37668240 DOI: 10.1080/16078454.2023.2254557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/29/2023] [Indexed: 09/06/2023] Open
Abstract
Wilms' tumor gene 1 (WT1) is a transcription and post-translational factor that has a crucial role in the biological and pathological processes of several human malignancies. For hematological malignancies, WT1 overexpression or mutation has been found in leukemia and myelodysplastic syndrome. About 70-90% of acute myeloid leukemia patients showed WT1 overexpression, and 6-15% of patients carried WT1 mutations. WT1 has been widely regarded as a marker for monitoring minimal residual disease in acute myeloid leukemia. Many researchers were interested in developing WT1 targeting therapy. In this review, we summarized biological and pathological functions, correlation with other genes and clinical features, prognosis value and targeting therapy of WT1 in hematological features.
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Affiliation(s)
- Jie Wu
- Department of Emergency Medicine, The Fifth People's Hospital of Huai'an and Huai'an Hospital Affiliated to Yangzhou University, Huai'an, People's Republic of China
| | - Hui Yan
- Department of Clinical Medicine, Medical College, Yangzhou University, Yangzhou, People's Republic of China
| | - Chunli Xiang
- Department of General Medicine, The Affiliated Huai'an Hospital of Xuzhou Medical University and Huai'an Second People's Hospital, Huai'an, People's Republic of China
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Yu T, Chi J, Wang L. Clinical values of gene alterations as marker of minimal residual disease in non-M3 acute myeloid leukemia. Hematology 2021; 26:848-859. [PMID: 34674615 DOI: 10.1080/16078454.2021.1990503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
Acute myeloid leukemia (AML) is a malignant disease of the hematopoietic system. Residual leukemic cells after treatment are associated with relapse. Thus, detecting minimal residual disease (MRD) is significant. Major techniques for MRD assessment include multiparameter flow cytometry (MFC), polymerase chain reaction (PCR), and next-generation sequencing (NGS). At a molecular level, AML is the consequence of collaboration of several gene alterations. Some of these gene alterations can also be used as MRD markers to evaluate the level of residual leukemic cells by PCR and NGS. However, when as MRD markers, different gene alterations have different clinical values. This paper aims to summarize the characteristics of various MRD markers, so as to better predict the clinical outcome of AML patients and guide the treatment.
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Affiliation(s)
- Tingyu Yu
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Jianxiang Chi
- Center for the Study of Hematological Malignancies, Nicosia, Cyprus
| | - Li Wang
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
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RNA-Binding Proteins in Acute Leukemias. Int J Mol Sci 2020; 21:ijms21103409. [PMID: 32408494 PMCID: PMC7279408 DOI: 10.3390/ijms21103409] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/07/2020] [Accepted: 05/10/2020] [Indexed: 12/12/2022] Open
Abstract
Acute leukemias are genetic diseases caused by translocations or mutations, which dysregulate hematopoiesis towards malignant transformation. However, the molecular mode of action is highly versatile and ranges from direct transcriptional to post-transcriptional control, which includes RNA-binding proteins (RBPs) as crucial regulators of cell fate. RBPs coordinate RNA dynamics, including subcellular localization, translational efficiency and metabolism, by binding to their target messenger RNAs (mRNAs), thereby controlling the expression of the encoded proteins. In view of the growing interest in these regulators, this review summarizes recent research regarding the most influential RBPs relevant in acute leukemias in particular. The reported RBPs, either dysregulated or as components of fusion proteins, are described with respect to their functional domains, the pathways they affect, and clinical aspects associated with their dysregulation or altered functions.
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