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Zhang Z, Tang R, Zhu M, Zhu Z, Zhu J, Li H, Tong M, Li N, Huang J. Deciphering cell states and the cellular ecosystem to improve risk stratification in acute myeloid leukemia. Brief Bioinform 2024; 26:bbaf028. [PMID: 39865982 PMCID: PMC11770069 DOI: 10.1093/bib/bbaf028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2024] [Revised: 12/17/2024] [Accepted: 01/11/2025] [Indexed: 01/28/2025] Open
Abstract
Acute myeloid leukemia (AML) demonstrates significant cellular heterogeneity in both leukemic and immune cells, providing valuable insights into clinical outcomes. Here, we constructed an AML single-cell transcriptome atlas and proposed sciNMF workflow to systematically dissect underlying cellular heterogeneity. Notably, sciNMF identified 26 leukemic and immune cell states that linked to clinical variables, mutations, and prognosis. By examining the co-existence patterns among these cell states, we highlighted a unique AML cellular ecosystem (ACE) that signifies aberrant tumor milieu and poor survival, which is confirmed by public RNA-seq cohorts. We further developed the ACE signature (ACEsig), comprising 12 genes, which accurately predicts AML prognosis, and outperforms existing signatures. When applied to cytogenetically normal AML or intensively treated patients, the ACEsig continues to demonstrate strong performance. Our results demonstrate that large-scale systematic characterization of cellular heterogeneity has the potential to enhance our understanding of AML heterogeneity and contribute to more precise risk stratification strategy.
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Affiliation(s)
- Zheyang Zhang
- State Key Laboratory of Cellular Stress Biology, Xiang’an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
- National Institute for Data Science in Health and Medicine, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
| | - Ronghan Tang
- State Key Laboratory of Cellular Stress Biology, Xiang’an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
| | - Ming Zhu
- State Key Laboratory of Cellular Stress Biology, Xiang’an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
| | - Zhijuan Zhu
- Hematopoietic Stem Cell Transplantation Center, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Department of Hematology, Fujian Medical University Union Hospital, No. 29 Xinquan Street, Gulou District, Fuzhou 350001, China
| | - Jiali Zhu
- State Key Laboratory of Cellular Stress Biology, Xiang’an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
| | - Hua Li
- Hematopoietic Stem Cell Transplantation Center, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Department of Hematology, Fujian Medical University Union Hospital, No. 29 Xinquan Street, Gulou District, Fuzhou 350001, China
- Department of Hematology and Rheumatology, The Second Affiliated Hospital of Xiamen Medical College, No. 566 Shengguang Road, Jimei District, Xiamen 361021, China
| | - Mengsha Tong
- State Key Laboratory of Cellular Stress Biology, Xiang’an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
- National Institute for Data Science in Health and Medicine, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
| | - Nainong Li
- Hematopoietic Stem Cell Transplantation Center, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Department of Hematology, Fujian Medical University Union Hospital, No. 29 Xinquan Street, Gulou District, Fuzhou 350001, China
- Translational Medicine Center on Hematology, Fujian Medical University, No. 29 Xinquan Street, Gulou District, Fuzhou 350001, China
| | - Jialiang Huang
- State Key Laboratory of Cellular Stress Biology, Xiang’an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
- National Institute for Data Science in Health and Medicine, Xiamen University, No. 4221, Xiang’an South Road, Xiamen, Fujian 361102, China
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Archer KJ, Fu H, Mrózek K, Nicolet D, Mims AS, Uy GL, Stock W, Byrd JC, Hiddemann W, Braess J, Spiekermann K, Metzeler KH, Herold T, Eisfeld AK. Identifying long-term survivors and those at higher or lower risk of relapse among patients with cytogenetically normal acute myeloid leukemia using a high-dimensional mixture cure model. J Hematol Oncol 2024; 17:28. [PMID: 38702786 PMCID: PMC11068580 DOI: 10.1186/s13045-024-01553-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/29/2024] [Indexed: 05/06/2024] Open
Abstract
Patients with cytogenetically normal acute myeloid leukemia (CN-AML) may harbor prognostically relevant gene mutations and thus be categorized into one of the three 2022 European LeukemiaNet (ELN) genetic-risk groups. Nevertheless, there remains heterogeneity with respect to relapse-free survival (RFS) within these genetic-risk groups. Our training set included 306 adults on Alliance for Clinical Trials in Oncology studies with de novo CN-AML aged < 60 years who achieved a complete remission and for whom centrally reviewed cytogenetics, RNA-sequencing, and gene mutation data from diagnostic samples were available (Alliance trial A152010). To overcome deficiencies of the Cox proportional hazards model when long-term survivors are present, we developed a penalized semi-parametric mixture cure model (MCM) to predict RFS where RNA-sequencing data comprised the predictor space. To validate model performance, we employed an independent test set from the German Acute Myeloid Leukemia Cooperative Group (AMLCG) consisting of 40 de novo CN-AML patients aged < 60 years who achieved a complete remission and had RNA-sequencing of their pre-treatment sample. For the training set, there was a significant non-zero cure fraction (p = 0.019) with 28.5% of patients estimated to be cured. Our MCM included 112 genes associated with cure, or long-term RFS, and 87 genes associated with latency, or shorter-term time-to-relapse. The area under the curve and C-statistic were respectively, 0.947 and 0.783 for our training set and 0.837 and 0.718 for our test set. We identified a novel, prognostically relevant molecular signature in CN-AML, which allows identification of patient subgroups independent of 2022 ELN genetic-risk groups.Trial registration Data from companion studies CALGB 8461, 9665 and 20202 (trials registered at www.clinicaltrials.gov as, respectively, NCT00048958, NCT00899223, and NCT00900224) were obtained from Alliance for Clinical Trials in Oncology under data sharing study A152010. Data from the AMLCG 2008 trial was registered at www.clinicaltrials.gov as NCT01382147.
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Affiliation(s)
- Kellie J Archer
- Division of Biostatistics, College of Public Health, The Ohio State University, 240 Cunz Hall, 1841 Neil Avenue, Columbus, OH, 43210, USA.
| | - Han Fu
- Google, Inc., Mountain View, CA, USA
| | - Krzysztof Mrózek
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Deedra Nicolet
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Alice S Mims
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Geoffrey L Uy
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Wendy Stock
- Department of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL, USA
| | - John C Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Wolfgang Hiddemann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Jan Braess
- Department of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany
| | - Karsten Spiekermann
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Klaus H Metzeler
- Department of Hematology and Cellular Therapy, University Hospital Leipzig, Leipzig, Germany
| | - Tobias Herold
- Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Ann-Kathrin Eisfeld
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
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Su Y, Wu M, Zhou B, Bai Z, Pang R, Liu Z, Zhao W. Paclitaxel mediates the PI3K/AKT/mTOR pathway to reduce proliferation of FLT3‑ITD + AML cells and promote apoptosis. Exp Ther Med 2024; 27:161. [PMID: 38476887 PMCID: PMC10928971 DOI: 10.3892/etm.2024.12449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 01/24/2024] [Indexed: 03/14/2024] Open
Abstract
Acute myeloid leukemia (AML) with internal tandem duplication (ITD) mutations in the FLT3 tyrosine kinase tend to have a poor prognosis. FLT3-ITD can promote the progress of AML by activating the PI3K/AKT/mTOR pathway. Paclitaxel (PTX) is a natural anticancer drug that has been widely used in chemotherapy for multiple malignancies. The present study used the CCK-8 assay, flow cytometry, PCR and western blotting to explore the anti-leukemia effect and possible mechanisms of PTX on MV4-11 cells with the FLT3-ITD mutation and the underlying mechanism. As a result, it was found that PTX could inhibit proliferation of MV4-11 cells and promoted apoptosis by inhibiting the PI3K/AKT/mTOR pathway.
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Affiliation(s)
- Yanyun Su
- Department of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Meiqing Wu
- Department of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Baowen Zhou
- Department of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Ziwen Bai
- Department of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Ruli Pang
- Department of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Zhenfang Liu
- Department of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Weihua Zhao
- Department of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
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Wang S, Zhang BS, Yang Y, Fu LL. CircFN1 promotes acute myeloid leukemia cell proliferation and invasion but refrains apoptosis via miR-1294/ARHGEF10L axis. Kaohsiung J Med Sci 2024; 40:221-230. [PMID: 38180276 DOI: 10.1002/kjm2.12801] [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: 04/11/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 01/06/2024] Open
Abstract
Previous studies have proved circFN1 is highly expressed in acute myeloid leukemia (AML) patients and AML cell lines. This study aims to investigate the impact of circFN1 on AML and its mechanism. Via real-time quantitative PCR to detect circFN1, miR-1294, ARHGEF10L expressions in clinical plasma samples and AML cell lines, AML cells were cultured in vitro and transfected with si-circFN1, pcDNA3.1-circFN1, and si-ARHGEF10L, respectively, or co-transfected pcDNA3.1-circFN1 + miR-1294 mimic and pcDNA3.1-circFN1 + si-ARHGEF10L. Using dual luciferase reporter experiment to detect the relationship between circFN1 and miR-1294, as well as miR-1294 and ARHGEF10L. CCK-8 was used to detect cell proliferation, Transwell to cell invasion, TUNEL staining and flow cytometry to detect cell apoptosis, RT-qPCR to circFN1 RNA, miR-1294, and ARHGEF10L expression levels in HL-60 cells, and western blot to ARHGEF10L protein expression level in HL-60 cells. We found highly expressed circFN1 and ARHGEF10L, as well as low-expressed miR-1294 in AML patients and AML cell lines. In contrast to si-NC group, si-circFN1 group could signally inhibit HL-60 cell proliferation and migration, but promote cell apoptosis; compared with mimic NC group, miR-1294 mimic group could visually inhibit HL-60 cell proliferation and migration, but promote cell apoptosis. miR-1294 was the target of circFN1, and ARHGEF10L was the target of miR-1294. Over-expressing miR-1294 or silencing ARHGEF10L could signally inhibit circFN1 promoting HL-60 cell proliferation and migration and repressing cell apoptosis. circFN1 promotes proliferation and invasion of AML cell and represses cell apoptosis via regulating miR-1294/ARHGEF10L axis, which provides new insight for molecular targeted-treatment for AML.
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Affiliation(s)
- Sheng Wang
- Department of Hematology, Three Gorges Hospital Affiliated to Chongqing University, Chongqing City, China
| | - Bang-Shuo Zhang
- Department of Hematology, Three Gorges Hospital Affiliated to Chongqing University, Chongqing City, China
| | - Yi Yang
- Department of Hematology, Three Gorges Hospital Affiliated to Chongqing University, Chongqing City, China
| | - Lin-Lin Fu
- Department of Hematology, Three Gorges Hospital Affiliated to Chongqing University, Chongqing City, China
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Speer RM, Yu H, Zhou X, Nandi S, Alexandrov L, Guo Y, Hudson LG, Liu KJ. Arsenic and UVR co-exposure results in unique gene expression profile identifying key co-carcinogenic mechanisms. Toxicol Appl Pharmacol 2024; 482:116773. [PMID: 38036231 PMCID: PMC10883297 DOI: 10.1016/j.taap.2023.116773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/02/2023]
Abstract
Changes in gene expression underlie many pathogenic endpoints including carcinogenesis. Metals, like arsenic, alter gene expression; however, the consequences of co-exposures of metals with other stressors are less understood. Although arsenic acts as a co-carcinogen by enhancing the development of UVR skin cancers, changes in gene expression in arsenic UVR co-carcinogenesis have not been investigated. We performed RNA-sequencing analysis to profile changes in gene expression distinct from arsenic or UVR exposures alone. A large number of differentially expressed genes (DEGs) were identified after arsenic exposure alone, while after UVR exposure alone fewer genes were changed. A distinct increase in the number of DEGs was identified after exposure to combined arsenic and UVR exposure that was synergistic rather than additive. In addition, a majority of these DEGs were unique from arsenic or UVR alone suggesting a distinct response to combined arsenic-UVR exposure. Globally, arsenic alone and arsenic plus UVR exposure caused a global downregulation of genes while fewer genes were upregulated. Gene Ontology analysis using the DEGs revealed cellular processes related to chromosome instability, cell cycle, cellular transformation, and signaling were targeted by combined arsenic and UVR exposure, distinct from UVR alone and arsenic alone, while others were related to epigenetic mechanisms such as the modification of histones. This result suggests the cellular functions we identified in this study may be key in understanding how arsenic enhances UVR carcinogenesis and that arsenic-enhanced gene expression changes may drive co-carcinogenesis of UVR exposure.
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Affiliation(s)
- Rachel M Speer
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, NM, USA.
| | - Hui Yu
- Department of Internal Medicine, Division of Molecular Medicine, University of New Mexico, Albuquerque, NM, USA.
| | - Xixi Zhou
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, NM, USA.
| | - Shuvro Nandi
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA.
| | - Ludmil Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, UC San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, UC San Diego, La Jolla, CA 92037, USA.
| | - Yan Guo
- Department of Internal Medicine, Division of Molecular Medicine, University of New Mexico, Albuquerque, NM, USA.
| | - Laurie G Hudson
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, NM, USA.
| | - Ke Jian Liu
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico, Albuquerque, NM, USA; Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY 11794, USA; Department of Pathology, Stony Brook University School of Medicine, Stony Brook, NY 11794, USA.
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Kojabad AA, Chegeni R, Rostami S, Zaker F, Safa M. Ultrasensitive quantitation of FLT3-ITD mutation in patients with acute myeloid leukemia using ddPCR. Mol Biol Rep 2023:10.1007/s11033-023-08534-x. [PMID: 37300744 DOI: 10.1007/s11033-023-08534-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 05/17/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND FLT3-ITD mutations occur in 45-50% of cytogenetically normal AML patients. Conventional fragment analysis using capillary electrophoresis is routinely used to quantitate FLT3-ITD mutations. Fragment analysis however has limited sensitivity. METHODS AND RESULTS Here, FLT3-ITD was quantified in AML patients using an in-house developed ultra-sensitive droplet digital polymerase chain reaction assay (ddPCR). The allelic ratio of FLT3-ITD was also absolutely measured by both Fragment analysis and ddPCR. The sensitivity of ddPCR in quantitation of FLT3-ITD mutation was superior to Fragment analysis. CONCLUSION This study demonstrates the feasibility of using the described in-house ddPCR method to quantify the FLT3-ITD mutation and measure FLT3-ITD AR in AML patients.
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Affiliation(s)
- Amir Asri Kojabad
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Rouzbeh Chegeni
- Medical Laboratory Sciences Program, College of Health and Human Sciences, Northern Illinois University, DeKalb, IL, USA
| | - Shaharbano Rostami
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farhad Zaker
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Majid Safa
- Department of Hematology and Blood Banking, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.
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Qin Y, Shen K, Liu T, Ma H. Prognostic value of IDH2R140 and IDH2R172 mutations in patients with acute myeloid leukemia: a systematic review and meta-analysis. BMC Cancer 2023; 23:527. [PMID: 37291515 DOI: 10.1186/s12885-023-11034-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 05/31/2023] [Indexed: 06/10/2023] Open
Abstract
BACKGROUND Whether isocitrate dehydrogenase 2 (IDH2) R140 and R172 gene mutations affect the prognosis of patients with acute myeloid leukemia (AML) is controversial. Here, we performed a meta-analysis to assess their prognostic value. METHODS Eligible studies were systematically searched from PubMed, Embase, the Cochrane Library and Chinese databases up to June 1, 2022. We extracted the hazard ratios (HRs) and their 95% confidence intervals (CIs) of overall survival (OS) and progression-free survival (PFS) to carry out a meta-analysis by a fixed effect model or random effect model according to the heterogeneity between studies. RESULTS A total of 12725 AML patients from 11 studies were included in this meta-analysis, of which 1111 (8.7%) and 305 (2.4%) had IDH2R140 and IDH2R172 mutations, respectively. The results revealed that both IDH2R140 and IDH2R172 mutations had no significant effect on OS (IDH2R140: HR = 0.92, 95% CI: 0.77-1.10, P = 0.365; IDH2R172: HR = 0.91, 95% CI: 0.65-1.28, P = 0.590) or PFS (IDH2R140: HR = 1.02, 95% CI: 0.75-1.40, P = 0.881; IDH2R172: HR = 1.31, 95% CI: 0.78-2.22, P = 0.306) in AML patients. Subgroup analysis of AML patients with IDH2R140 mutation revealed that studies from the USA (HR = 0.60, 95% CI: 0.41-0.89, P = 0.010) and ≤ 50 years old (HR = 0.63, 95% CI: 0.50-0.80, P = 0.000) had longer OS. However, studies from Sweden (HR = 1.94, 95% CI: 1.07-3.53, P = 0.030) had shorter OS. Meanwhile, subgroup analysis of AML patients with IDH2R172 mutation showed that studies from Germany/Austria (HR = 0.76, 95% CI: 0.61-0.94, P = 0.012) and from Sweden (HR = 0.22, 95% CI: 0.07-0.74, P = 0.014) had longer OS, whereas studies from the UK (HR = 1.49, 95% CI: 1.13-1.96, P = 0.005) and studies with nonmultivariate analysis of data type (HR = 1.35, 95% CI: 1.06-1.73, P = 0.014) had shorter OS. In addition, our study also found that patients with IDH2R140 mutation had significantly longer OS (HR = 0.61, 95% CI: 0.39-0.96, P = 0.032) and PFS (HR = 0.31, 95% CI: 0.18-0.52, P = 0.021) than patients with IDH2R172 mutation, despite some degree of heterogeneity. CONCLUSIONS This meta-analysis demonstrates that IDH2R140 mutation improves OS in younger AML patients and that the prognostic value of IDH2R172 mutation is significantly heterogeneous. Differences in region and data type have a significant impact on the prognosis of AML patients with IDH2R140 and/or IDH2R172 mutations. Additionally, AML patients with IDH2R140 mutation have a better prognosis than those with IDH2R172 mutations, albeit with some degree of heterogeneity.
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Affiliation(s)
- Yao Qin
- Department of Hematology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Kai Shen
- Department of Hematology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Ting Liu
- Department of Hematology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Wuhou District, Chengdu, 610041, Sichuan, China
| | - Hongbing Ma
- Department of Hematology, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Wuhou District, Chengdu, 610041, Sichuan, China.
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Singh H, Kumar M, Kanungo H. Role of Gene Mutations in Acute Myeloid Leukemia: A Review Article. Glob Med Genet 2023; 10:123-128. [PMID: 37360004 PMCID: PMC10289861 DOI: 10.1055/s-0043-1770768] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023] Open
Abstract
Acute myeloid leukemia (AML) is an immensely heterogeneous disease characterized by the clonal growth of promyelocytes or myeloblasts in bone marrow as well as in peripheral blood or tissue. Enhancement in the knowledge of the molecular biology of cancer and recognition of intermittent mutations in AML contribute to favorable circumstances to establish targeted therapies and enhance the clinical outcome. There is high interest in the development of therapies that target definitive abnormalities in AML while eradicating leukemia-initiating cells. In recent years, there has been a better knowledge of the molecular abnormalities that lead to the progression of AML, and the application of new methods in molecular biology techniques has increased that facilitating the advancement of investigational drugs. In this review, literature or information on various gene mutations for AML is discussed. English language articles were scrutinized in plentiful directories or databases like PubMed, Science Direct, Web of Sciences, Google Scholar, and Scopus. The important keywords used for searching databases is "Acute myeloid leukemia", "Gene mutation in Acute myeloid leukemia", "Genetic alteration in Acute myeloid leukemia," and "Genetic abnormalities in Acute myeloid leukemia."
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Affiliation(s)
- Himanshu Singh
- Department of Oral and Maxillofacial Pathology and Oral Microbiology, Index Institute of Dental Sciences, Indore, Madhya Pradesh, India
| | - Magesh Kumar
- Department of Periodontics, Index Institute of Dental Sciences, Indore, Madhya Pradesh, India
| | - Himanshu Kanungo
- Department of Orthodontics and Dentofacial Orthopaedics, Index Institute of Dental Sciences, Indore, Madhya Pradesh, India
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9
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Hussein OA, Labib HA, Haggag R, Hamed Sakr MM. Phe354Leu polymorphism of the liver kinase B1 gene as a prognostic factor in adult egyptian patients with acute myeloid leukemia. Heliyon 2023; 9:e15415. [PMID: 37215763 PMCID: PMC10192405 DOI: 10.1016/j.heliyon.2023.e15415] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 03/30/2023] [Accepted: 04/06/2023] [Indexed: 05/24/2023] Open
Abstract
Background The human liver kinase B1 (LKB1) gene is a significant tumor suppressor widely expressed in all fetal and adult tissues. Despite its established role in solid tumors, the biological and clinical implications of LKB1 gene alterations in hematological malignancies have not been sufficiently recognized. Aim This study aimed to determine the frequency of the LKB1 Phe354Leu polymorphism in adult Egyptian patients with cytogenetically normal AML (CN-AML), evaluate its clinical prognostic significance, and investigate its effect on the therapeutic outcome and patient survival. Methods Direct sequencing of amplified exon eight of the LKB1 gene was performed to detect the Phe354Leu polymorphism in 72 adult de novo CN-AML patients. Results The LKB1 Phe354Leu polymorphism was detected in 16.7% of patients and associated with younger age and lower hemoglobin levels (p < 0.001). Patients in the mutated group had significantly higher total leukocytic count and bone marrow blasts (p = 0.001 and p < 0.001, respectively). The most common FAB subtypes in mutated patients were M4 and M2. The relapse rate was significantly higher in the mutated group (p = 0.004). There was a significant association between the FLT3-ITD polymorphism and LKB1 F354L (p < 0.001). The mutated group had shorter overall survival (p = 0.003). In multivariate analysis, the Phe354Leu polymorphism was a significant independent prognostic variable for the overall and disease-free survival of the studied patients (p = 0.049). Conclusion The LKB1 Phe354Leu polymorphism was diagnosed at younger ages in Egyptian CN-AML patients and represented a poor independent prognostic factor in CN-AML. Patients who carried this polymorphism had shorter overall survival and more frequent relapses. Our findings may provide insight into the design of therapeutic targets, and molecular testing of the LKB1 gene is recommended for proper risk stratification of CN-AML patients.
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Affiliation(s)
- Ola A. Hussein
- Department of Clinical Pathology, Faculty of Medicine, Zagazig University, Egypt
| | - Hany A. Labib
- Department of Clinical Pathology, Faculty of Medicine, Zagazig University, Egypt
| | - Rasha Haggag
- Department of Medical Oncology, Faculty of Medicine, Zagazig University, Egypt
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Chen Q, Xu Z, Lin J, Deng Z, Qian J, Qian W. The validation and clinical significance of LPCAT1 down-regulation in acute myeloid leukemia. Mol Biol Rep 2023; 50:4955-4963. [PMID: 37079124 DOI: 10.1007/s11033-023-08449-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 04/12/2023] [Indexed: 04/21/2023]
Abstract
BACKGROUND Overexpression of lysophosphatidylcholine acyltransferase 1 (LPCAT1) has been found in various solid cancers and is associated with disease progression, metastasis, and recurrence. However, the expression pattern of LPCAT1 in acute myeloid leukemia (AML) bone marrow remains unknown. The present study aimed to compare LPCAT1 expression differences in bone marrow samples from AML patients and healthy controls and assess the clinical relevance of LPCAT1 in AML. METHODS AND RESULTS LPCAT1 expression in bone marrow was significantly lower in AML than in healthy controls predicted by public databases. Furthermore, real-time quantitative PCR (RQ-PCR) validated that LPCAT1 expression in bone marrow was significantly down-regulated in AML compared to healthy controls [0.056 (0.000-0.846) vs 0.253 (0.031-1.000)]. The DiseaseMeth version 2.0 and The Cancer Genome Atlas analysis revealed that the LPCAT1 promoter was hypermethylated in AML, and there was a strong negative correlation between LPCAT1 expression and methylation (R = - 0.610, P < 0.001). RQ-PCR revealed that the frequency of LPCAT1 low expression was lower in the FAB-M4/M5 subtype than in the other subtypes (P = 0.018). The ROC curve revealed that LPCAT1 expression could serve as a potential diagnostic marker for differentiating AML from controls with an area under the ROC curve of 0.819 (95% CI 0.743-0.894, P < 0.001). In cytogenetically normal AML, patients with LPCAT1 low expression had significantly longer overall survival than those without LPCAT1 low expression (median 19 versus 5.5 months, P = 0.036). CONCLUSIONS LPCAT1 is down-regulated in AML bone marrow, and LPCAT1 down-regulation could be used as a potential biomarker for AML diagnosis and prognosis.
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Affiliation(s)
- Qin Chen
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, People's Republic of China
| | - Zijun Xu
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, People's Republic of China
| | - Jiang Lin
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, People's Republic of China
| | - Zhaoqun Deng
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, People's Republic of China
| | - Jun Qian
- Department of Hematology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
| | - Wei Qian
- Laboratory Center, Affiliated People's Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
- Department of Otolaryngology-Head and Neck Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
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11
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Mrózek K, Kohlschmidt J, Blachly JS, Nicolet D, Carroll AJ, Archer KJ, Mims AS, Larkin KT, Orwick S, Oakes CC, Kolitz JE, Powell BL, Blum WG, Marcucci G, Baer MR, Uy GL, Stock W, Byrd JC, Eisfeld AK. Outcome prediction by the 2022 European LeukemiaNet genetic-risk classification for adults with acute myeloid leukemia: an Alliance study. Leukemia 2023; 37:788-798. [PMID: 36823396 PMCID: PMC10079544 DOI: 10.1038/s41375-023-01846-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/03/2023] [Accepted: 02/08/2023] [Indexed: 02/25/2023]
Abstract
Recently, the European LeukemiaNet (ELN) revised its genetic-risk classification of acute myeloid leukemia (AML). We categorized 1637 adults with AML treated with cytarabine/anthracycline regimens according to the 2022 and 2017 ELN classifications. Compared with the 2017 ELN classification, 2022 favorable group decreased from 40% to 35% and adverse group increased from 37% to 41% of patients. The 2022 genetic-risk groups seemed to accurately reflect treatment outcomes in all patients and patients aged <60 years, but in patients aged ≥60 years, relapse rates, disease-free (DFS) and overall (OS) survival were not significantly different between intermediate and adverse groups. In younger African-American patients, DFS and OS did not differ between intermediate-risk and adverse-risk patients nor did DFS between favorable and intermediate groups. In Hispanic patients, DFS and OS did not differ between favorable and intermediate groups. Outcome prediction abilities of 2022 and 2017 ELN classifications were similar. Among favorable-risk patients, myelodysplasia-related mutations did not affect patients with CEBPAbZIP mutations or core-binding factor AML, but changed risk assignment of NPM1-mutated/FLT3-ITD-negative patients to intermediate. NPM1-mutated patients with adverse-risk cytogenetic abnormalities were closer prognostically to the intermediate than adverse group. Our analyses both confirm and challenge prognostic significance of some of the newly added markers.
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Grants
- UG1 CA233180 NCI NIH HHS
- U10 CA180821 NCI NIH HHS
- UG1 CA189850 NCI NIH HHS
- P30 CA033572 NCI NIH HHS
- UG1 CA233247 NCI NIH HHS
- R35 CA197734 NCI NIH HHS
- UG1 CA233339 NCI NIH HHS
- P50 CA140158 NCI NIH HHS
- UG1 CA233331 NCI NIH HHS
- U10 CA180882 NCI NIH HHS
- UG1 CA233338 NCI NIH HHS
- U24 CA196171 NCI NIH HHS
- P30 CA016058 NCI NIH HHS
- UG1 CA233327 NCI NIH HHS
- Leukemia and Lymphoma Society (Leukemia & Lymphoma Society)
- Aptevo, Daiichi Sankyo, Glycomemetics, Kartos Pharmaceuticals, Xencor and Genentech
- U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics)
- BLP is a consultant for Cornerstone Pharmaceuticals and reported research funding from Ambit Biosciences, Cornerstone, Genentech, Hoffman LaRoche, Jazz Pharmaceuticals, Novartis and Pfizer.
- WGB reported honoraria from Abbvie, Syndax, and AmerisourceBergen and research funding from Celyad Oncology, Nkarta, Xencor, Forma Therapeutics and Leukemia and Lymphoma Society.
- Agios Savvas Regional Cancer Hospital
- GLU is a consultant for AbbVie, Agios, Jazz, GlaxoSmithKline, Genentech, and Novartis; reported honoraria from Astellas and research funding from Macrogenics.
- JCB consults for Astellas, AstraZeneca, Novartis, Pharmacyclics, Syndax and Trillium; receives honoraria from Astellas, AstraZeneca, Novartis, Pharmacyclics, Syndax and Trillium; he is a Chairman of the Scientific Advisory Board of Vincerx Pharmaceuticals and a member of advisory committee of Newave; and is a current equity holder of Vincerx Pharmaceuticals.
- U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI)
- American Cancer Society (American Cancer Society, Inc.)
- Leukemia Research Foundation (LRF)
- Pelotonia
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Affiliation(s)
- Krzysztof Mrózek
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
| | - Jessica Kohlschmidt
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - James S Blachly
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Deedra Nicolet
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Alliance Statistics and Data Management Center, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Kellie J Archer
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Alice S Mims
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Karilyn T Larkin
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Shelley Orwick
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Christopher C Oakes
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | | | - Guido Marcucci
- Department of Hematological Malignancies Translational Science, Gehr Family Center for Leukemia Research, City of Hope Medical Center and Beckman Research Institute, Duarte, CA, USA
| | - Maria R Baer
- University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore, MD, USA
| | - Geoffrey L Uy
- Washington University School of Medicine, St. Louis, MO, USA
| | - Wendy Stock
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - John C Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Ann-Kathrin Eisfeld
- Clara D. Bloomfield Center for Leukemia Outcomes Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- The Ohio State University, Department of Internal Medicine, Columbus, OH, USA.
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
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12
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Genomic Alterations, Gene Expression Profiles and Functional Enrichment of Normal-Karyotype Acute Myeloid Leukaemia Based on Targeted Next-Generation Sequencing. Cancers (Basel) 2023; 15:cancers15051386. [PMID: 36900179 PMCID: PMC10000176 DOI: 10.3390/cancers15051386] [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: 01/10/2023] [Revised: 02/08/2023] [Accepted: 02/16/2023] [Indexed: 02/24/2023] Open
Abstract
Characterising genomic variants is paramount in understanding the pathogenesis and heterogeneity of normal-karyotype acute myeloid leukaemia (AML-NK). In this study, clinically significant genomic biomarkers were ascertained using targeted DNA sequencing and RNA sequencing on eight AML-NK patients' samples collected at disease presentation and after complete remission. In silico and Sanger sequencing validations were performed to validate variants of interest, and they were followed by the performance of functional and pathway enrichment analyses for overrepresentation analysis of genes with somatic variants. Somatic variants involving 26 genes were identified and classified as follows: 18/42 (42.9%) as pathogenic, 4/42 (9.5%) as likely pathogenic, 4/42 (9.5%) as variants of unknown significance, 7/42 (16.7%) as likely benign and 9/42 (21.4%) as benign. Nine novel somatic variants were discovered, of which three were likely pathogenic, in the CEBPA gene with significant association with its upregulation. Transcription misregulation in cancer tops the affected pathways involving upstream genes (CEBPA and RUNX1) that were deregulated in most patients during disease presentation and were closely related to the most enriched molecular function gene ontology category, DNA-binding transcription activator activity RNA polymerase II-specific (GO:0001228). In summary, this study elucidated putative variants and their gene expression profiles along with functional and pathway enrichment in AML-NK patients.
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13
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Real world molecular characterisation and clonal evolution of acute myeloid leukaemia reveals therapeutic opportunities and challenges. Pathology 2023; 55:64-70. [PMID: 36357248 DOI: 10.1016/j.pathol.2022.07.019] [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: 05/10/2022] [Revised: 07/16/2022] [Accepted: 07/28/2022] [Indexed: 11/06/2022]
Abstract
Acute myeloid leukaemia (AML) is an aggressive haematological malignancy with poor prognosis. Increasing understanding of the molecular mechanisms driving clonal proliferation has resulted in advancements in classification and available therapeutic targets. Fms-related tyrosine kinase 3 (FLT3) mutations are prognostically important and offer options for targeted inhibition, however they are not stable and can emerge or disappear at relapse. Our aim was to review diagnostic testing of consecutive cases of newly diagnosed and relapsed AML reported across Queensland in comparison to available literature. We conducted a retrospective review of 1531 samples from 1231 patients to identify patterns of molecular testing and AML subtypes in our cohort. Outcomes included World Health Organization (WHO) classification, European LeukaemiaNet (ELN) risk category and rates of missed FLT3 mutation testing. Patients aged <60 years had significantly more favourable risk AML (48% vs 25%, p<0.01), with favourable risk chromosomal translocations [t(8;21) and inv(16)] being more common. Thirteen patients (1%) did not have FLT3 mutation testing at diagnosis, with 103 relapse samples (39%) not being tested. Eighteen patients (10%) had FLT3 mutations lost at relapse, with five patients (3%) developing new FLT3 mutations at relapse. This study identifies the subtypes and risk stratification of a large cohort of AML patients over an extended period. The relatively high rate of absent FLT3 mutation testing at relapse as well as FLT3 loss or gain highlights the potential missed opportunities for salvage treatment strategies.
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14
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Huang T, Xu L, Zhang X, Chang Y, Mo X, Sun Y, Huang X, Wang Y. Haploidentical haematopoietic stem cell transplantation for TP53-mutated acute myeloid leukaemia. Br J Haematol 2023; 200:494-505. [PMID: 36345800 DOI: 10.1111/bjh.18538] [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: 09/21/2022] [Revised: 10/13/2022] [Accepted: 10/17/2022] [Indexed: 11/10/2022]
Abstract
Acute myeloid leukaemia (AML) patients with tumour protein p53 (TP53) mutations are often resistant to chemotherapy and have worse clinical outcomes than patients without TP53 mutations. In this study, we compared clinical outcomes of patients with AML with and without TP53 mutations who underwent haploidentical haematopoietic stem cell transplantation (haplo-HSCT). For the TP53-mutation group and TP53 wild-type group, the 2-year cumulative incidence of relapse (CIR) was (39.0% vs. 21.2% respectively, p = 0.088), the 2-year non-relapse mortality (NRM) rate was (3.2% vs. 8.4% respectively, p = 0.370), the 2-year leukaemia-free survival (LFS) was (57.7% vs. 71.3% respectively, p = 0.205), the 2-year overall survival (OS) rate was (69.9% vs. 81.3% respectively, p = 0.317), the 100-day cumulative incidence of Grade II-IV acute graft-versus-host disease (GvHD) was (6.5% vs. 20.7% respectively, p = 0.074), the 2-year cumulative incidence of chronic GvHD was (52.3% vs. 53.1% respectively, p = 0.493) and the 2-year GvHD-free/relapse-free survival (GRFS) was (57.7% vs. 69.6% respectively, p = 0.347). Our data showed that there were no significant differences in 2-year clinical outcomes between the two groups. Multivariable analysis showed TP53 mutations had no significant impact on CIR, NRM, OS, GvHD, LFS or GRFS. Our findings suggest that patients with AML with TP53 mutations may at least partially benefit from haplo-HSCT. Haplo-HSCT might be the recommended treatment for such patients.
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Affiliation(s)
- Ting Huang
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China
| | - Lanping Xu
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China.,Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Xiaohui Zhang
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China
| | - Yingjun Chang
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China
| | - Xiaodong Mo
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China.,Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Yuqian Sun
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China
| | - Xiaojun Huang
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China.,Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, P.R. China.,Collaborative Innovation Center of Hematology, Peking University, Beijing, P.R. China
| | - Yu Wang
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, P.R. China.,Collaborative Innovation Center of Hematology, Peking University, Beijing, P.R. China
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15
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Qian Y, Zhang X, Mao S, Wei W, Lin X, Ling Q, Ye W, Li F, Pan J, Zhou Y, Zhao Y, Huang X, Huang J, Tong H, Sun J, Jin J. ACC010, a novel BRD4 inhibitor, synergized with homoharringtonine in acute myeloid leukemia with FLT3-ITD. Mol Oncol 2022. [PMID: 36567628 DOI: 10.1002/1878-0261.13368] [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: 07/21/2022] [Revised: 11/06/2022] [Accepted: 12/23/2022] [Indexed: 12/27/2022] Open
Abstract
Bromodomain-containing protein 4 (BRD4) inhibitors have been clinically developed to treat acute myeloid leukemia (AML), but their application is limited by the possibility of drug resistance, which is reportedly associated with the activation of the WNT/β-catenin pathway. Meanwhile, homoharringtonine (HHT), a classic antileukemia drug, possibly inhibits the WNT/β-catenin pathway. In this study, we attempted to combine a novel BRD4 inhibitor (ACC010) and HHT to explore their synergistic lethal effects in treating AML. Here, we found that co-treatment with ACC010 and HHT synergistically inhibited cell proliferation, induced apoptosis, and arrested the cell cycle in FMS-like tyrosine kinase 3-internal tandem duplication (FLT3-ITD)-positive AML cells in vitro, and significantly inhibiting AML progression in vivo. Mechanistically, ACC010 and HHT cooperatively downregulated MYC and inhibited FLT3 activation. Further, when HHT was added, ACC010-resistant cells demonstrated a good synergy. We also extended our study to the mouse BaF3 cell line with FLT3-inhibitor-resistant FLT3-ITD/tyrosine kinase domain mutations and AML cells without FLT3-ITD. Collectively, our results suggested that the combination treatment of ACC010 and HHT might be a promising strategy for AML patients, especially those carrying FLT3-ITD.
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Affiliation(s)
- Yu Qian
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Xiang Zhang
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Shihui Mao
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Wenwen Wei
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Xiangjie Lin
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Qing Ling
- Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Wenle Ye
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Fenglin Li
- The Affiliated People's Hospital of Ningbo University, China
| | - Jiajia Pan
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Yutong Zhou
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Yanchun Zhao
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Xin Huang
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Jiansong Huang
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Hongyan Tong
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Jie Sun
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China
| | - Jie Jin
- Department of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, Zhejiang University, Hangzhou, China.,Zhejiang Provincial Clinical Research Center for Hematological Disorders, Hangzhou, China.,Zhejiang University Cancer Center, Hangzhou, China.,Jinan Microecological Biomedicine Shandong Laboratory, China
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16
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He X, Zhang W, Fu W, Liu X, Yang P, Wang J, Zhu M, Li S, Zhang W, Zhang X, Dong G, Yan C, Zhao Y, Zeng Z, Jing H. The prognostic value of RASGEF1A RNA expression and DNA methylation in cytogenetically normal acute myeloid leukemia. Cancer Biomark 2022; 36:103-116. [PMID: 36404533 DOI: 10.3233/cbm-210407] [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: 11/16/2022]
Abstract
BACKGROUND Acute myeloid leukemia (AML) is a significantly heterogeneous malignancy of the blood. Cytogenetic abnormalities are crucial for the prognosis of AML. However, since more than half of patients with AML are cytogenetically normal AML (CN-AML), predictive prognostic indicators need to be further refined. In recent years, gene abnormalities are considered to be strong prognostic factors of CN-AML, already having clinical significance for treatment. In addition, the relationship of methylation in some genes and AML prognosis predicting has been discovered. RASGEF1A is a guanine nucleotide exchange factors of Ras and widely expressed in brain tissue, bone marrow and 17 other tissues. RASGEF1A has been reported to be associated with a variety of malignant tumors, examples include Hirschsprung disease, renal cell carcinoma, breast cancer, diffuse large B cell lymphoma, intrahepatic cholangiocarcinoma and so on [1, 2]. However, the relationship between the RASGEF1A gene and CN-AML has not been reported. METHODS By integrating the Cancer Genome Atlas (TCGA) database 75 patients with CN-AML and 240 Gene Expression Omnibus (GEO) database CN-AML samples, we examined the association between RASGEF1A's RNA expression level and DNA methylation of and AML patients' prognosis. Then, we investigated the RASGEF1A RNA expression and DNA methylation's prognostic value in 77 patients with AML after allogeneic hematopoietic stem cell transplantation (Allo-HSCT) as well as 101 AML patients after chemotherapy respectively. We investigated the association between sensitivity to Crenolanib and expression level of RASGED1A in patients by integrating 191 CN-AML patients from BeatAML dadataset. We integrated the expression and methylation of RASGEF1A to predict the CN-AML patients' prognosis and investigated the relationship between prognostic of AML patients with different risk classification and expression levels or methylation levels of RASGEF1A. RESULTS We found that RASGEF1A gene high expression group predicted poorer event-free survival (EFS) (P< 0.0001) as well as overall survival (OS) (P< 0.0001) in CN-AML samples, and the identical results were found in AML patients receiving chemotherapy (P< 0.0001) and Allo-HSCT (P< 0.0001). RASGEF1A RNA expression level is an CN-AML patients' independent prognostic factor (EFS: HR = 5.5534, 95% CI: 1.2982-23.756, P= 0.0208; OS: HR = 5.3615, 95% CI: 1.1014-26.099, P= 0.0376). The IC50 (half maximal inhibitory concentration) of Crenolanib of CN-AML samples with RASGEF1A high expression level is lower. In addition, patients with high RASGEF1A methylation level had significant favorable prognosis (EPS: P< 0.0001, OS: P< 0.0001). Furthermore, the integrative analysis of expression and methylation of RASGEF1A could classify CN-AML patients into subgroups with different prognosis (EFS: P= 0.034, OS: P= 0.0024). Expression levels or methylation levels of RASGEF1A help to improve risk classification of 2010 European Leukemia Net. CONCLUSION Higher RASGEF1A RNA expression and lower DNA methylation predicts CN-AML patients' poorer prognosis. The RASGEF1A high expression level from patients with CN-AML have better sensitivity to Crenolanib. The integrative analysis of RASGEF1A RNA expression and DNA methylation can provide a more accurate classification for prognosis. Lower RASGEF1A expression is a favorable prognostic factor for AML patients receiving chemotherapy or Allo-HSCT. 2010 European Leukemia Net's risk classification can be improved by RASGEF1A expression levels or methylation levels.
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Affiliation(s)
- Xue He
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China.,Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Weilong Zhang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China.,Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei Fu
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China.,Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoni Liu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Ping Yang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
| | - Jing Wang
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
| | - Mingxia Zhu
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
| | - Shaoxiang Li
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China
| | - Wei Zhang
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China
| | - Xiuru Zhang
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China
| | - Gehong Dong
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Pathology, Capital Medical University, Beijing, China
| | | | - Yali Zhao
- General Practice Medicine, The First People's Hospital of Huzhou, Huzhou, Zhejiang, China
| | - Zhiping Zeng
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Hongmei Jing
- Department of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing, China
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17
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Romero R, Jung E, Chaiworapongsa T, Erez O, Gudicha DW, Kim YM, Kim JS, Kim B, Kusanovic JP, Gotsch F, Taran AB, Yoon BH, Hassan SS, Hsu CD, Chaemsaithong P, Gomez-Lopez N, Yeo L, Kim CJ, Tarca AL. Toward a new taxonomy of obstetrical disease: improved performance of maternal blood biomarkers for the great obstetrical syndromes when classified according to placental pathology. Am J Obstet Gynecol 2022; 227:615.e1-615.e25. [PMID: 36180175 PMCID: PMC9525890 DOI: 10.1016/j.ajog.2022.04.015] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 04/11/2022] [Accepted: 04/13/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The major challenge for obstetrics is the prediction and prevention of the great obstetrical syndromes. We propose that defining obstetrical diseases by the combination of clinical presentation and disease mechanisms as inferred by placental pathology will aid in the discovery of biomarkers and add specificity to those already known. OBJECTIVE To describe the longitudinal profile of placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFlt-1), and the PlGF/sFlt-1 ratio throughout gestation, and to determine whether the association between abnormal biomarker profiles and obstetrical syndromes is strengthened by information derived from placental examination, eg, the presence or absence of placental lesions of maternal vascular malperfusion. STUDY DESIGN This retrospective case cohort study was based on a parent cohort of 4006 pregnant women enrolled prospectively. The case cohort of 1499 pregnant women included 1000 randomly selected patients from the parent cohort and all additional patients with obstetrical syndromes from the parent cohort. Pregnant women were classified into six groups: 1) term delivery without pregnancy complications (n=540; control); 2) preterm labor and delivery (n=203); 3) preterm premature rupture of the membranes (n=112); 4) preeclampsia (n=230); 5) small-for-gestational-age neonate (n=334); and 6) other pregnancy complications (n=182). Maternal plasma concentrations of PlGF and sFlt-1 were determined by enzyme-linked immunosorbent assays in 7560 longitudinal samples. Placental pathologists, masked to clinical outcomes, diagnosed the presence or absence of placental lesions of maternal vascular malperfusion. Comparisons between mean biomarker concentrations in cases and controls were performed by utilizing longitudinal generalized additive models. Comparisons were made between controls and each obstetrical syndrome with and without subclassifying cases according to the presence or absence of placental lesions of maternal vascular malperfusion. RESULTS 1) When obstetrical syndromes are classified based on the presence or absence of placental lesions of maternal vascular malperfusion, significant differences in the mean plasma concentrations of PlGF, sFlt-1, and the PlGF/sFlt-1 ratio between cases and controls emerge earlier in gestation; 2) the strength of association between an abnormal PlGF/sFlt-1 ratio and the occurrence of obstetrical syndromes increases when placental lesions of maternal vascular malperfusion are present (adjusted odds ratio [aOR], 13.6 vs 6.7 for preeclampsia; aOR, 8.1 vs 4.4 for small-for-gestational-age neonates; aOR, 5.5 vs 2.1 for preterm premature rupture of the membranes; and aOR, 3.3 vs 2.1 for preterm labor (all P<0.05); and 3) the PlGF/sFlt-1 ratio at 28 to 32 weeks of gestation is abnormal in patients who subsequently delivered due to preterm labor with intact membranes and in those with preterm premature rupture of the membranes if both groups have placental lesions of maternal vascular malperfusion. Such association is not significant in patients with these obstetrical syndromes who do not have placental lesions. CONCLUSION Classification of obstetrical syndromes according to the presence or absence of placental lesions of maternal vascular malperfusion allows biomarkers to be informative earlier in gestation and enhances the strength of association between biomarkers and clinical outcomes. We propose that a new taxonomy of obstetrical disorders informed by placental pathology will facilitate the discovery and implementation of biomarkers as well as the prediction and prevention of such disorders.
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Affiliation(s)
- Roberto Romero
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI; Detroit Medical Center, Detroit, MI.
| | - Eunjung Jung
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Tinnakorn Chaiworapongsa
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Offer Erez
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Faculty of Health Sciences, Division of Obstetrics and Gynecology, Maternity Department "D," Soroka University Medical Center, School of Medicine, Ben-Gurion University of the Negev, Beersheba, Israel; Department of Obstetrics and Gynecology, HaEmek Medical Center, Afula, Israel
| | - Dereje W Gudicha
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Yeon Mee Kim
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Pathology, Wayne State University School of Medicine, Detroit, MI; Department of Pathology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jung-Sun Kim
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Pathology, Wayne State University School of Medicine, Detroit, MI; Department of Pathology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Bomi Kim
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Pathology, Wayne State University School of Medicine, Detroit, MI; Department of Pathology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Juan Pedro Kusanovic
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; División de Obstetricia y Ginecología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile; Centro de Investigación e Innovación en Medicina Materno-Fetal, Unidad de Alto Riesgo Obstétrico, Hospital Sotero Del Rio, Santiago, Chile
| | - Francesca Gotsch
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Andreea B Taran
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Bo Hyun Yoon
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sonia S Hassan
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Office of Women's Health, Integrative Biosciences Center, Wayne State University, Detroit, MI; Department of Physiology, Wayne State University School of Medicine, Detroit, MI
| | - Chaur-Dong Hsu
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Physiology, Wayne State University School of Medicine, Detroit, MI; Department of Obstetrics and Gynecology, University of Arizona, College of Medicine - Tucson, Tucson, AZ
| | - Piya Chaemsaithong
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Faculty of Medicine, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, MI
| | - Lami Yeo
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Chong Jai Kim
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Pathology, Wayne State University School of Medicine, Detroit, MI; Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Adi L Tarca
- Perinatology Research Branch, Divisions of Obstetrics and Maternal-Fetal Medicine and Intramural Research, US Department of Health and Human Services, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Computer Science, Wayne State University College of Engineering, Detroit, MI
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18
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Chen R, Wang X, Fu J, Liang M, Xia T. High FLT3 expression indicates favorable prognosis and correlates with clinicopathological parameters and immune infiltration in breast cancer. Front Genet 2022; 13:956869. [PMID: 36159964 PMCID: PMC9499177 DOI: 10.3389/fgene.2022.956869] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 08/08/2022] [Indexed: 11/19/2022] Open
Abstract
Purpose: Breast cancer is a highly heterogeneous malignancy, seriously threatening female health worldwide and inducing higher mortalities. Few have the studies evaluated Fms-like TyrosineKinase-3 (FLT3) in prognostic risk, immunotherapy or any other treatment of breast cancer. Our study focused on investigating the function of FLT3 in breast cancer. Patients and methods: Based on transcriptome and methylation data mined from The Cancer Gene Atlas (TCGA), we explored the clinical features of FLT3 expression in 1079 breast cancer samples. RT-qPCR in cell lines and tissue samples was used to verify the expression difference of FLT3. Kaplan–Meier survival analysis and cox regression models were employed for screening of FLT3 with potential prognostic capacity. Subsequently, functional analysis of the co-expressed genes was conducted using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene-set enrichment analysis (GSEA). The correlation between FLT3 expression and tumor immune infiltration was jointly analyzed with estimate, ssGSEA, TIMER, and TISIDB. Then we employed checkpoint-related molecules, immunophenoscore (IPS), and tumor mutation burden (TMB) to assess the efficacy of immuno-checkpoint inhibitors (ICIs). Pearson correlation coefficient was employed to exam the association between DNA methylation and FLT3 expression. Results: FLT3 displays an elevated expression in breast cancer than normal pairs and is significantly associated with multiple clinical characteristics like age, menopause status, histological type, pathological stage, and molecular subtype as well as increased overall survival (OS). Additionally, FLT3 is a favorable independent prognostic factor. GO, KEGG, and GSEA suggested that FLT3 was associated with diversified immune-related features. FLT3 expression is correlated with the abundance of various immune cells namely CD4+T cell, CD8+ T cell, myeloid dendritic cell, and neutrophil as well as immune inhibitors especially CTLA4, which is positively correlated with FLT3 expression. Moreover, TMB displayed a negative correlation with FLT3 expression while IPS showed adverse tendency. Ultimately, the methylation of FLT3 downregulates the gene expression and closely binds to a few clinical parameters. Conclusion: FLT3 can be used for prognostic prediction and is relevant to immune infiltration in breast cancer. FLT3 may pave the way for future novel immunotherapies.
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Affiliation(s)
- Rui Chen
- Department of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Xinyang Wang
- Department of Thyroid and Breast, The Second Affiliated Hospital of Nantong University, Nantong, China
| | - Jingyue Fu
- Department of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Mengdi Liang
- Department of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Tiansong Xia
- Department of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
- *Correspondence: Tiansong Xia,
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19
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Reduced expression of lncRNA DLEU7-AS1 is a novel favorable prognostic factor in acute myeloid leukemia. Biosci Rep 2022; 42:231264. [PMID: 35506368 PMCID: PMC9118369 DOI: 10.1042/bsr20212078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 04/12/2022] [Accepted: 05/03/2022] [Indexed: 11/26/2022] Open
Abstract
The objective of our study was to measure DLEU7-AS1 expression in de novo acute myeloid leukemia (AML) whilst also analyzing its clinical relevance. We used gene expression data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Cancer Cell Line Encyclopedia (CCLE) and Genotype-Tissue Expression project (GTEx) to assess the expression profile of DLEU7-AS1 in pan-cancers, cancer cell lines and normal tissues. Reverse transcription-quantitative PCR was used to measure DLEU7-AS1 expression in bone marrow from 30 normal individuals and 110 patients with de novo AML. DLEU7-AS1 expression was found to be markedly reduced in the AML samples of the TCGA pan-cancer datasets. In our PCR validation, DLEU7-AS1 expression was significantly decreased in the AML samples compared with that in controls (P<0.001). Low DLEU7-AS1 expression (DLEU7-AS1low) correlated positively with lower blood platelet counts (P=0.029). In addition, low DLEU7-AS1 expression was more frequently observed in the intermediate (58%; 44/76) and favorable karyotypes (65%; 15/23) compared with that in the poor karyotype (10%; 1/10; P=0.005). In particular, patients with high expression levels of DLEU7-AS1 (DLEU7-AS1high) showed lower complete remission rates (P=0.002) than patients with DLEU7-AS1low. Survival analysis revealed that patients with DLEU7-AS1low had longer overall survival (OS) than patients with DLEU7-AS1high (P<0.05). Multivariate Cox analysis demonstrated that in patients with non-acute promyelocytic leukemia (non-M3) who were ≤60 years old, DLEU7-AS1 expression was an independent prognostic factor for OS. Furthermore, we found distinct correlations among the expression of DLEU7-AS1, infiltration by immune cells and immune checkpoint genes in AML.
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20
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Xiang X, Lu Q, Xu X, Cai P, Chen S, Pan J, Zeng Z. Prognostic impact of PRDM16 expression in acute myeloid leukemia with normal cytogenetics. Hematology 2022; 27:499-505. [PMID: 35473465 DOI: 10.1080/16078454.2022.2066306] [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: 11/04/2022] Open
Abstract
PURPOSE Cytogenetically normal acute myeloid leukemia (CN-AML) is a heterogeneous disease with variable clinical outcomes. The identification of potential biomarkers to better classify the patients with unfavorable prognoses who may require more aggressive therapies is an emergent demand. PRDM16 is a transcriptional cofactor and histone methyltransferase, playing a critical role in maintaining hematopoietic stem cells, and MLL fusion-induced leukemogenesis. However, the prognostic value of PRDM16 in CN-AML is still unclear. MATERIALS AND METHODS We retrospectively analyzed the PRDM16 expression and its association with gene mutations in CN-AML. Then the prognostic value of PRDM16 and its comparison with WT1 were analyzed. RESULTS The results showed that about 73.6% of CN-AML patients harbored higher expression of PRDM16 than the healthy controls. Furthermore, CN-AML patients with high PRDM16 expression had a lower survival rate than the low PRDM16 expression group (50.5% vs. 83.3%, p = 0.0339). Interestingly, hemopoietic stem cell transplantation significantly improved the prognosis of CN-AML with high PRDM16 expression but not those with low PRDM16 expression. In terms of molecular genetics, high PRDM16 expression was significantly associated with a lower rate of CEBPA mutation (p = 0.01) and a higher rate of FLT3-ITD and DNMT3A mutation (p = 0.032 and p = 0.004, respectively). In addition, PRDM16 expression was significantly correlated with WT1 expression in CN-AML (r = 0.7, p < 0.001). These data suggested PRDM16 expression could be used to predict the outcome of patients with CN-AML. CONCLUSION PRDM16 is significantly associated with FLT3-ITD and DNMT3A mutation and WT1 expression and serves as a potential prognostic biomarker in CN-AML.
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Affiliation(s)
- Xin Xiang
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Qiongyu Lu
- Cyrus Tang hematology center, Soochow University, Suzhou, People's Republic of China
| | - Xiaoyu Xu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Ping Cai
- Hematology Department, Zhenjiang First People's Hospital, Zhenjiang, Jiangsu, People's Republic of China
| | - Suning Chen
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Jinlan Pan
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Zhao Zeng
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
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21
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Kim T, Lee H, Capo‐Chichi J, Chang MH, Yoo YS, Basi G, Ketela T, Smith AC, Tierens A, Zhang Z, Minden MD, Kim DDH. Single cell proteogenomic sequencing identifies a relapse-fated AML subclone carrying FLT3-ITD with CN-LOH at chr13q. EJHAEM 2022; 3:426-433. [PMID: 35846029 PMCID: PMC9175792 DOI: 10.1002/jha2.390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 01/09/2023]
Abstract
Internal tandem duplication of the Feline McDonough Sarcoma (FMS)-like tyrosine kinase 3 (FLT3-ITD) is one of the most clinically relevant mutations in acute myeloid leukemia (AML), with a high FLT3-ITD allelic ratio (AR) (≥0.5) being strongly associated with poor prognosis. FLT3-ITDs are heterogeneous, varying in size and location, with some patients having multiple FLT3-ITDs. Bulk cell-based approaches are limited in their ability to reveal the clonal structure in such cases. Using single-cell proteogenomic sequencing (ScPGseq), we attempted to identify a relapse-fated subclone in an AML case with mutations in WT1, NPM1, and FLT3 tyrosine kinase domain and two FLT3-ITDs (21 bp and 39 bp) (low AR) at presentation, then relapsed only with WT1 and NPM1 mutations and one FLT3-ITD (high AR). This relapse-fated subclone at presentation (∼2.1% of sequenced cells) was characterized by the presence of a homozygous 21 bp FLT3-ITD resulting from copy neutral loss of heterozygosity (CN-LOH) of chr13q and an aberrant, immature myeloid cell surface signature, contrast to the cell surface phenotype at presentation. In contrast to results from multicolor flow-cytometry, ScPGseq not only enabled the early detection of rare relapse-fated subclone showing immature myeloid signature but also highlighted the presence of homozygous 21 bp FLT3-ITDs in the clone at presentation.
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Affiliation(s)
- TaeHyung Kim
- Division of Medical Oncology and HematologyPrincess Margaret Cancer CentreTorontoOntarioCanada,Department of Computer ScienceUniversity of TorontoTorontoOntarioCanada,The Donnelly Centre for Cellular and Biomolecular ResearchUniversity of TorontoTorontoOntarioCanada
| | - Hyewon Lee
- Division of Medical Oncology and HematologyPrincess Margaret Cancer CentreTorontoOntarioCanada,Center for Hematologic MalignanciesNational Cancer CenterGoyangRepublic of Korea
| | - Jose‐Mario Capo‐Chichi
- Department of Clinical Laboratory GeneticsGenome Diagnostics Laboratory Medicine ProgramUniversity of TorontoTorontoOntarioCanada
| | - Myung Hee Chang
- Division of Medical Oncology and HematologyPrincess Margaret Cancer CentreTorontoOntarioCanada,Division of Oncology‐HematologyDepartment of Internal MedicineNational Health Insurance Service Ilsan HospitalGoyangRepublic of Korea
| | - Young Seok Yoo
- Division of Medical Oncology and HematologyPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Gurbaksh Basi
- Princess Margaret Genomics CentrePrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Troy Ketela
- Princess Margaret Genomics CentrePrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Adam C. Smith
- Laboratory Medicine ProgramUniversity Health NetworkTorontoOntarioCanada,Department of Laboratory Medicine and PathobiologyUniversity of TorontoTorontoOntarioCanada
| | - Anne Tierens
- Laboratory Medicine ProgramUniversity Health NetworkTorontoOntarioCanada,Department of Laboratory Medicine and PathobiologyUniversity of TorontoTorontoOntarioCanada
| | - Zhaolei Zhang
- Department of Computer ScienceUniversity of TorontoTorontoOntarioCanada,The Donnelly Centre for Cellular and Biomolecular ResearchUniversity of TorontoTorontoOntarioCanada,Department of Molecular GeneticsUniversity of TorontoTorontoOntarioCanada
| | - Mark D. Minden
- Division of Medical Oncology and HematologyPrincess Margaret Cancer CentreTorontoOntarioCanada
| | - Dennis Dong Hwan Kim
- Division of Medical Oncology and HematologyPrincess Margaret Cancer CentreTorontoOntarioCanada,Hans Messner Allogeneic Blood and Marrow Transplant UnitPrincess Margaret Cancer CentreTorontoOntarioCanada
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22
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Rezaei M, Tan J, Zeng C, Li Y, Ganjalikhani-Hakemi M. TIM-3 in Leukemia; Immune Response and Beyond. Front Oncol 2021; 11:753677. [PMID: 34660319 PMCID: PMC8514831 DOI: 10.3389/fonc.2021.753677] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/10/2021] [Indexed: 02/05/2023] Open
Abstract
T cell immunoglobulin and mucin domain 3 (TIM-3) expression on malignant cells has been reported in some leukemias. In myelodysplastic syndrome (MDS), increased TIM-3 expression on TH1 cells, regulatory T cells, CD8+ T cells, and hematopoietic stem cells (HSCs), which play a role in the proliferation of blasts and induction of immune escape, has been reported. In AML, several studies have reported overexpression of TIM-3 on leukemia stem cells (LSCs) but not on healthy HSCs. Overexpression of TIM-3 on exhausted CD4+ and CD8+ T cells and leukemic cells in CML, ALL, and CLL patients could be a prognostic risk factor for poor therapeutic response and relapse in patients. Currently, several TIM-3 inhibitors are used in clinical trials for leukemias, and some have shown encouraging response rates for MDS and AML treatment. For AML immunotherapy, blockade TIM-3 may have dual effects: directly inhibiting AML cell proliferation and restoring T cell function. However, blockade of PD-1 and TIM-3 fails to restore the function of exhausted CD8+ T cells in the early clinical stages of CLL, indicating that the effects of TIM-3 blockade may be different in AML and other leukemias. Thus, further studies are required to evaluate the efficacy of TIM-3 inhibitors in different types and stages of leukemia. In this review, we summarize the biological functions of TIM-3 and its contribution as it relates to leukemias. We also discuss the effects of TIM-3 blockade in hematological malignancies and clinical trials of TIM-3 for leukemia therapy.
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Affiliation(s)
- Mahnaz Rezaei
- Department of Immunology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Jiaxiong Tan
- Department of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Chengwu Zeng
- Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China
| | - Yangqiu Li
- Institute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China
| | - Mazdak Ganjalikhani-Hakemi
- Department of Immunology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
- Acquired Immunodeficiency Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
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23
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Rehman A, Akram AM, Chaudhary A, Sheikh N, Hussain Z, Alsanie WF, Rehman RA, Hameed N, Saleem T, Zafar A, Absar M, Iqbal Z, Alhazmi A, Baeshen HA, Mohammedsaleh ZM, Qamer S, Sayed S, Gaber A. RUNX1 mutation and elevated FLT3 gene expression cooperates to induce inferior prognosis in cytogenetically normal acute myeloid leukemia patients. Saudi J Biol Sci 2021; 28:4845-4851. [PMID: 34466057 PMCID: PMC8381075 DOI: 10.1016/j.sjbs.2021.07.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 07/02/2021] [Accepted: 07/04/2021] [Indexed: 11/25/2022] Open
Abstract
Background Acute myeloid leukemia (AML) is a bone marrow malignancy having multiple molecular pathways driving its progress. In recent years, the main causes of AML considered all over the world are genetic variations in cancerous cells. The RUNX1 and FLT3 genes are necessary for the normal hematopoiesis and differentiation process of hematopoietic stem cells into mature blood cells, therefore they are the most common targets for point mutations resulting in AML. Methods We screened 32 CN-AML patients for FLT3-ITD (by Allele-specific PCR) and RUNX1 mutations (by Sanger sequencing). The FLT3 mRNA expression was assessed in all AML patients and its subgroups. Results Eight patients (25%) carried RUNX1 mutation (K83E) while three patients (9.37%) were found to have internal tandem duplications in FLT3 gene. The RUNX1 mutation data were correlated with clinical parameters and FLT3 gene expression profile. The RUNX1 mutations were observed to be significantly prevalent in older males. Moreover, RUNX1 and FLT3-mutated patients had lower complete remission rate, event-free survival rate, and lower overall survival rate than patients with wild-type RUNX1 and FLT3 gene. The RUNX1 and FLT3 mutant patients with up-regulated FLT3 gene expression showed even worse prognosis. Bradford Assay showed that protein concentration was down-regulated in RUNX1 and FLT3 mutants in comparison to RUNX1 and FLT3 wild-type groups. Conclusion This study constitutes the first report from Pakistan reporting significant molecular mutation analysis of RUNX1 and FLT3 genes including FLT3 expression evaluation with follow-up. This provides an insight that aforementioned mutations are markers of poor prognosis but the study with a large AML cohort will be useful to further investigate their role in disease biology of AML.
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Affiliation(s)
- Atia Rehman
- Cell and Molecular Biology Lab (CMBL), Department of Zoology, University of the Punjab, Lahore, Pakistan.,Molecular Biology Lab, University of Education, Township Campus, College Road, Lahore, Pakistan
| | - Afia Muhammad Akram
- Molecular Biology Lab, University of Education, Township Campus, College Road, Lahore, Pakistan
| | - Asma Chaudhary
- Molecular Biology Lab, University of Education, Township Campus, College Road, Lahore, Pakistan
| | - Nadeem Sheikh
- Cell and Molecular Biology Lab (CMBL), Department of Zoology, University of the Punjab, Lahore, Pakistan
| | - Zawar Hussain
- Molecular Biology Lab, University of Education, Township Campus, College Road, Lahore, Pakistan
| | - Walaa F Alsanie
- Center of Biomedical Sciences Research (CBSR), Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.,Department of Clinical Laboratories Sciences, The Faculty of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Rahat Abdul Rehman
- Department of Forensic Science, University of Health Sciences, Lahore, Pakistan
| | - Naila Hameed
- Cell and Molecular Biology Lab (CMBL), Department of Zoology, University of the Punjab, Lahore, Pakistan
| | - Tayyaba Saleem
- Cell and Molecular Biology Lab (CMBL), Department of Zoology, University of the Punjab, Lahore, Pakistan
| | - Amjad Zafar
- Department of Oncology, Mayo Hospital, Anarkali Bazar, Lahore, Pakistan
| | - Muhammad Absar
- Microbiology, Pathology & Laboratory Medicine, King Abdulaziz Hospital, Ministry of National Guard-Health Affairs, Saudi Arabia
| | - Zafar Iqbal
- Cancer and Medical Genetics, CAMS-A, King Saud Bin Abdulaziz University for Health Sciences & King Abdullah International Medical Research Centre (KAIMRC), King Abdulaziz Medical City, National Guard Health Affairs, Al Ahsa, Saudi Arabia
| | - Alaa Alhazmi
- Medical Laboratory Technology Department, Jazan University, Jazan, Saudi Arabia.,SMIRES for Consultation in Specialized Medical Laboratories, Jazan University, Jazan, Saudi Arabia
| | - Hosam Ali Baeshen
- Department of Orthodontics, Faculty of Dentistry, King Abdulaziz University, P.O. Box 80209, Jeddah 21589, Saudi Arabia
| | - Zuhair M Mohammedsaleh
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia
| | - Samina Qamer
- Department of Zoology, Government College University, Faisalabad, Pakistan
| | - Samy Sayed
- Department of Science and Technology, University College-Ranyah, Taif University, B.O. Box 11099, Taif 21944, Saudi Arabia
| | - Ahmed Gaber
- Center of Biomedical Sciences Research (CBSR), Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.,Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
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24
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Almatani MF, Ali A, Onyemaechi S, Zhao Y, Gutierrez L, Vaikari VP, Alachkar H. Strategies targeting FLT3 beyond the kinase inhibitors. Pharmacol Ther 2021; 225:107844. [PMID: 33811956 PMCID: PMC11490306 DOI: 10.1016/j.pharmthera.2021.107844] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/24/2021] [Accepted: 03/29/2021] [Indexed: 12/20/2022]
Abstract
Acute myeloid leukemia (AML) is a hematological malignancy characterized by clonal expansion and differentiation arrest of the myeloid progenitor cells, which leads to the accumulation of immature cells called blasts in the bone marrow and peripheral blood. Mutations in the receptor tyrosine kinase FLT3 occur in 30% of normal karyotype patients with AML and are associated with a higher incidence of relapse and worse survival. Targeted therapies against FLT3 mutations using small-molecule FLT3 tyrosine kinase inhibitors (TKIs) have long been investigated, with some showing favorable clinical outcomes. However, major setbacks such as limited clinical efficacy and the high risk of acquired resistance remain unresolved. FLT3 signaling, mutations, and FLT3 inhibitors are topics that have been extensively reviewed in recent years. Strategies to target FLT3 beyond the small molecule kinase inhibitors are expanding, nevertheless they are not receiving enough attention. These modalities include antibody-based FLT3 targeted therapies, immune cells mediated targeting strategies, and approaches targeting downstream signaling pathways and FLT3 translation. Here, we review the most recent advances and the challenges associated with the development of therapeutic modalities targeting FLT3 beyond the kinase inhibitors.
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Affiliation(s)
- Mohammed F Almatani
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, United States
| | - Atham Ali
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, United States
| | - Sandra Onyemaechi
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, United States
| | - Yang Zhao
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, United States
| | - Lucas Gutierrez
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, United States
| | - Vijaya Pooja Vaikari
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, United States
| | - Houda Alachkar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, United States; USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089, United States.
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25
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Bill M, Goda C, Pepe F, Ozer HG, McNeil B, Zhang X, Karunasiri M, Kulkarni R, Kalyan S, Papaioannou D, Ferenchak G, Garzon R, Bradner JE, Marcucci G, Caligiuri MA, Dorrance AM. Targeting BRD4 in acute myeloid leukemia with partial tandem duplication of the MLL gene. Haematologica 2021; 106:2527-2532. [PMID: 33979989 PMCID: PMC8409020 DOI: 10.3324/haematol.2020.271627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Indexed: 12/24/2022] Open
Affiliation(s)
- Marius Bill
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA; Medizinische Klinik und Poliklinik I, Universitätsklinikum Carl Gustav Carus Dresden, Dresden
| | - Chinmayee Goda
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH
| | - Felice Pepe
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH
| | - Hatice Gulcin Ozer
- The Ohio State University, Department of Biomedical Informatics, Columbus, OH
| | - Betina McNeil
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH
| | - Xiaoli Zhang
- The Ohio State University, Department of Biomedical Informatics, Columbus, OH
| | - Malith Karunasiri
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH
| | - Rohan Kulkarni
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH
| | - Sonu Kalyan
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH
| | - Dimitrios Papaioannou
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA; Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Gregory Ferenchak
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH
| | - Ramiro Garzon
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA; Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | | | - Guido Marcucci
- City of Hope Comprehensive Cancer Center, 1500 East Duarte Road, Duarte, CA 91010
| | - Michael A Caligiuri
- City of Hope Comprehensive Cancer Center, 1500 East Duarte Road, Duarte, CA 91010
| | - Adrienne M Dorrance
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA; Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH.
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26
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Papaioannou D, Ozer HG, Nicolet D, Urs AP, Herold T, Mrózek K, Batcha AM, Metzeler KH, Yilmaz AS, Volinia S, Bill M, Kohlschmidt J, Pietrzak M, Walker CJ, Carroll AJ, Braess J, Powell BL, Eisfeld AK, Uy GL, Wang ES, Kolitz JE, Stone RM, Hiddemann W, Byrd JC, Bloomfield CD, Garzon R. Clinical and molecular relevance of genetic variants in the non-coding transcriptome of patients with cytogenetically normal acute myeloid leukemia. Haematologica 2021; 107. [PMID: 34261293 PMCID: PMC9052895 DOI: 10.3324/haematol.2020.266643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Expression levels of long non-coding RNA (lncRNA) have been shown to associate with clinical outcome of patients with cytogenetically normal acute myeloid leukemia (CN-AML). However, the frequency and clinical significance of genetic variants in the nucleotide sequences of lncRNA in AML patients is unknown. Herein, we analyzed total RNA sequencing data of 377 younger adults (aged <60 years) with CN-AML, who were comprehensively characterized with regard to clinical outcome. We used available genomic databases and stringent filters to annotate genetic variants unequivocally located in the non-coding transcriptome of AML patients. We detected 981 variants, which are recurrently present in lncRNA that are expressed in leukemic blasts. Among these variants, we identified a cytosine-to-thymidine variant in the lncRNA RP5-1074L1.4 and a cytosine-to-thymidine variant in the lncRNA SNHG15, which independently associated with longer survival of CN-AML patients. The presence of the SNHG15 cytosine-to-thymidine variant was also found to associate with better outcome in an independent dataset of CN-AML patients, despite differences in treatment protocols and RNA sequencing techniques. In order to gain biological insights, we cloned and overexpressed both wild-type and variant versions of the SNHG15 lncRNA. In keeping with its negative prognostic impact, overexpression of the wild-type SNHG15 associated with higher proliferation rate of leukemic blasts when compared with the cytosine-to-thymidine variant. We conclude that recurrent genetic variants of lncRNA that are expressed in the leukemic blasts of CN-AML patients have prognostic and potential biological significance.
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Affiliation(s)
- Dimitrios Papaioannou
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,Laura and Isaac Perlmutter Cancer Center, New York University School of Medicine, NYU Langone Health, New York, NY, USA,*DP and HGO contributed equally as co-first authors
| | - Hatice G. Ozer
- The Ohio State University, Department of Biomedical Informatics, Columbus, OH, USA,*DP and HGO contributed equally as co-first authors
| | - Deedra Nicolet
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA,Alliance Statistics and Data Center, The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Amog P. Urs
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | | | - Krzysztof Mrózek
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Aarif M.N. Batcha
- Institute for Medical Information Processing, Biometry and Epidemiology, LMU Munich, Munich, Germany,Medical Data Integration Center (MeDIC), University Hospital, LMU Munich, Germany
| | - Klaus H. Metzeler
- Department of Hematology, Cell Therapy & Hemostaseology, University Hospital Leipzig, Leipzig, Germany
| | - Ayse S. Yilmaz
- The Ohio State University, Department of Biomedical Informatics, Columbus, OH, USA
| | - Stefano Volinia
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Marius Bill
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Jessica Kohlschmidt
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA,Alliance Statistics and Data Center, The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA
| | - Maciej Pietrzak
- The Ohio State University, Department of Biomedical Informatics, Columbus, OH, USA
| | - Christopher J. Walker
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Andrew J. Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jan Braess
- Department of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany
| | - Bayard L. Powell
- The Comprehensive Cancer Center of Wake Forest University, Winston-Salem, NC, USA
| | - Ann-Kathrin Eisfeld
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Geoffrey L. Uy
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Eunice S. Wang
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jonathan E. Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, NY, USA
| | - Richard M. Stone
- Dana-Farber Cancer Institute, Harvard University, Boston, MA, USA
| | | | - John C. Byrd
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, OH, USA
| | - Clara D. Bloomfield
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,CDB and RG contributed equally as co-senior authors
| | - Ramiro Garzon
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, USA,CDB and RG contributed equally as co-senior authors
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27
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Krali O, Palle J, Bäcklin CL, Abrahamsson J, Norén-Nyström U, Hasle H, Jahnukainen K, Jónsson ÓG, Hovland R, Lausen B, Larsson R, Palmqvist L, Staffas A, Zeller B, Nordlund J. DNA Methylation Signatures Predict Cytogenetic Subtype and Outcome in Pediatric Acute Myeloid Leukemia (AML). Genes (Basel) 2021; 12:895. [PMID: 34200630 PMCID: PMC8229099 DOI: 10.3390/genes12060895] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/31/2021] [Accepted: 06/08/2021] [Indexed: 12/14/2022] Open
Abstract
Pediatric acute myeloid leukemia (AML) is a heterogeneous disease composed of clinically relevant subtypes defined by recurrent cytogenetic aberrations. The majority of the aberrations used in risk grouping for treatment decisions are extensively studied, but still a large proportion of pediatric AML patients remain cytogenetically undefined and would therefore benefit from additional molecular investigation. As aberrant epigenetic regulation has been widely observed during leukemogenesis, we hypothesized that DNA methylation signatures could be used to predict molecular subtypes and identify signatures with prognostic impact in AML. To study genome-wide DNA methylation, we analyzed 123 diagnostic and 19 relapse AML samples on Illumina 450k DNA methylation arrays. We designed and validated DNA methylation-based classifiers for AML cytogenetic subtype, resulting in an overall test accuracy of 91%. Furthermore, we identified methylation signatures associated with outcome in t(8;21)/RUNX1-RUNX1T1, normal karyotype, and MLL/KMT2A-rearranged subgroups (p < 0.01). Overall, these results further underscore the clinical value of DNA methylation analysis in AML.
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Affiliation(s)
- Olga Krali
- Department of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, 752 37 Uppsala, Sweden;
| | - Josefine Palle
- Department of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, 752 37 Uppsala, Sweden;
- Department of Women’s and Children’s Health, Uppsala University, 752 37 Uppsala, Sweden
| | - Christofer L. Bäcklin
- Department of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, 751 85 Uppsala, Sweden; (C.L.B.); (R.L.)
| | - Jonas Abrahamsson
- Department of Pediatrics, Queen Silvia Children’s Hospital, 416 85 Gothenburg, Sweden;
| | - Ulrika Norén-Nyström
- Department of Clinical Sciences, Pediatrics, Umeå University Hospital, 901 85 Umeå, Sweden;
| | - Henrik Hasle
- Department of Pediatrics, Aarhus University Hospital, DK-8200 Aarhus, Denmark;
| | - Kirsi Jahnukainen
- Children’s Hospital, Helsinki University Central Hospital, Helsinki, and University of Helsinki, 00290 Helsinki, Finland;
| | - Ólafur Gísli Jónsson
- Department of Pediatrics, Landspitali University Hospital, 101 Reykjavík, Iceland;
| | - Randi Hovland
- Center of Medical Genetics and Molecular Medicine, Haukeland University Hospital, 5009 Bergen, Norway;
| | - Birgitte Lausen
- Department of Pediatrics and Adolescent Medicine, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark;
| | - Rolf Larsson
- Department of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, 751 85 Uppsala, Sweden; (C.L.B.); (R.L.)
| | - Lars Palmqvist
- Department of Clinical Chemistry and Transfusion Medicine, University of Gothenburg, 41346 Gothenburg, Sweden; (L.P.); (A.S.)
| | - Anna Staffas
- Department of Clinical Chemistry and Transfusion Medicine, University of Gothenburg, 41346 Gothenburg, Sweden; (L.P.); (A.S.)
| | - Bernward Zeller
- Division of Paediatric and Adolescent Medicine, Oslo University Hospital, 0450 Oslo, Norway;
| | - Jessica Nordlund
- Department of Medical Sciences, Molecular Precision Medicine and Science for Life Laboratory, Uppsala University, 752 37 Uppsala, Sweden;
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28
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Papuc SM, Erbescu A, Cisleanu D, Ozunu D, Enache C, Dumitru I, Lupoaia Andrus E, Gaman M, Popov VM, Dobre M, Stanca O, Angelescu S, Berbec N, Colita A, Vladareanu AM, Bumbea H, Arghir A. Delineation of Molecular Lesions in Acute Myeloid Leukemia Patients at Diagnosis: Integrated Next Generation Sequencing and Cytogenomic Studies. Genes (Basel) 2021; 12:genes12060846. [PMID: 34070898 PMCID: PMC8229708 DOI: 10.3390/genes12060846] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/26/2021] [Accepted: 05/28/2021] [Indexed: 12/19/2022] Open
Abstract
Acute myeloid leukemia (AML) is a heterogeneous disorder characterized by a wide range of genetic defects. Cytogenetics, molecular and genomic technologies have proved to be helpful for deciphering the mutational landscape of AML and impacted clinical practice. Forty-eight new AML patients were investigated with an integrated approach, including classical and molecular cytogenetics, array-based comparative genomic hybridization and targeted next generation sequencing (NGS). Various genetic defects were identified in all the patients using our strategy. Targeted NGS revealed known pathogenic mutations as well as rare or unreported variants with deleterious predictions. The mutational screening of the normal karyotype (NK) group identified clinically relevant variants in 86.2% of the patients; in the abnormal cytogenetics group, the mutation detection rate was 87.5%. Overall, the highest mutation prevalence was observed for the NPM1 gene, followed by DNMT3A, FLT3 and NRAS. An unexpected co-occurrence of KMT2A translocation and DNMT3A-R882 was identified; alterations of these genes, which are involved in epigenetic regulation, are considered to be mutually exclusive. A microarray analysis detected CNVs in 25% of the NK AML patients. In patients with complex karyotypes, the microarray analysis made a significant contribution toward the accurate characterization of chromosomal defects. In summary, our results show that the integration of multiple investigative strategies increases the detection yield of genetic defects with potential clinical relevance.
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Affiliation(s)
- Sorina Mihaela Papuc
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Alina Erbescu
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Diana Cisleanu
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Diana Ozunu
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Cristina Enache
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Ion Dumitru
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Elena Lupoaia Andrus
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Mihaela Gaman
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | | | - Maria Dobre
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
| | - Oana Stanca
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Silvana Angelescu
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Nicoleta Berbec
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Andrei Colita
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Coltea Clinical Hospital, 030167 Bucharest, Romania
| | - Ana-Maria Vladareanu
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Horia Bumbea
- Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania; (D.C.); (C.E.); (E.L.A.); (M.G.); (O.S.); (S.A.); (N.B.); (A.C.); (A.-M.V.); (H.B.)
- Emergency Universitary Clinical Hospital, 050098 Bucharest, Romania;
| | - Aurora Arghir
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania; (S.M.P.); (A.E.); (D.O.); (M.D.)
- Correspondence: ; Tel.: +40-2-1319-2732-207; Fax: +40-2-1319-4528
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29
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Yang L, Zhang H, Yang X, Lu T, Ma S, Cheng H, Yen K, Cheng T. Prognostic Prediction of Cytogenetically Normal Acute Myeloid Leukemia Based on a Gene Expression Model. Front Oncol 2021; 11:659201. [PMID: 34123815 PMCID: PMC8190396 DOI: 10.3389/fonc.2021.659201] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/26/2021] [Indexed: 11/22/2022] Open
Abstract
Acute myeloid leukemia (AML) refers to a heterogeneous group of hematopoietic malignancies. The well-known European Leukemia Network (ELN) stratifies AML patients into three risk groups, based primarily on the detection of cytogenetic abnormalities. However, the prognosis of cytogenetically normal AML (CN-AML), which is the largest AML subset, can be hard to define. Moreover, the clinical outcomes associated with this subgroup are diverse. In this study, using transcriptome profiles collected from CN-AML patients in the BeatAML cohort, we constructed a robust prognostic Cox model named NEST (Nine-gEne SignaTure). The validity of NEST was confirmed in four external independent cohorts. Moreover, the risk score predicted by the NEST model remained an independent prognostic factor in multivariate analyses. Further analysis revealed that the NEST model was suitable for bone marrow mononuclear cell (BMMC) samples but not peripheral blood mononuclear cell (PBMC) samples, which indirectly indicated subtle differences between BMMCs and PBMCs. Our data demonstrated the robustness and accuracy of the NEST model and implied the importance of the immune dysfunction in the leukemogenesis that occurs in CN-AML, which shed new light on the further exploration of molecular mechanisms and treatment guidance for CN-AML.
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Affiliation(s)
- Liu Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Department of Stem Cell and Regenerative Medicine, Peking Union Medical College, Tianjin, China.,Center for Stem Cell Medicine, Chinese Academy of Medical Sciences, Tianjin, China
| | - Houyu Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Xue Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Department of Stem Cell and Regenerative Medicine, Peking Union Medical College, Tianjin, China.,Center for Stem Cell Medicine, Chinese Academy of Medical Sciences, Tianjin, China
| | - Ting Lu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Department of Stem Cell and Regenerative Medicine, Peking Union Medical College, Tianjin, China.,Center for Stem Cell Medicine, Chinese Academy of Medical Sciences, Tianjin, China
| | - Shihui Ma
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Department of Stem Cell and Regenerative Medicine, Peking Union Medical College, Tianjin, China.,Center for Stem Cell Medicine, Chinese Academy of Medical Sciences, Tianjin, China
| | - Hui Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Department of Stem Cell and Regenerative Medicine, Peking Union Medical College, Tianjin, China.,Center for Stem Cell Medicine, Chinese Academy of Medical Sciences, Tianjin, China
| | - Kuangyu Yen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Department of Stem Cell and Regenerative Medicine, Peking Union Medical College, Tianjin, China.,Center for Stem Cell Medicine, Chinese Academy of Medical Sciences, Tianjin, China
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Department of Stem Cell and Regenerative Medicine, Peking Union Medical College, Tianjin, China.,Center for Stem Cell Medicine, Chinese Academy of Medical Sciences, Tianjin, China
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30
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Chen X, Zhu H, Qiao C, Zhao S, Liu L, Wang Y, Jin H, Qian S, Wu Y. Next-generation sequencing reveals gene mutations landscape and clonal evolution in patients with acute myeloid leukemia. ACTA ACUST UNITED AC 2021; 26:111-122. [PMID: 33491606 DOI: 10.1080/16078454.2020.1858610] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES The study aims to understand geneome diversification and complexity that developed in Acute myeloid leukemia (AML). METHODS Next-generation sequencing (NGS) was used to identify the genetic profiles of 22 genes relevant to hematological malignancy in 204 patients with de novo non-M3 AML. RESULTS At time of initial diagnosis, at least one mutation was identified in 80.9% of patients (165/204). The most commonly mutated gene was NPM1 (22.1%), followed by ASXL1 (18.1%), TET2 (18.1%), IDH2 (15.7%), CEBPA (14.7%), FLT3-ITD (13.2%) and DNMT3A (11.8%). Mutations landscape analysis indicated several patterns of co-occurring and mutual exclusive gene mutations. Some correlation was observed between gene mutations and clinicohematological features. Multivariate analysis showed that age >60 years, karyotypes, IDH2 and KIT mutations were the independent unfavorable prognostic factors for OS; NPM1-mut/ FLT3-ITD-wt was independently correlated with prolonged OS; whereas the independent poor risk factors for RFS were karyotypes, high WBC and RUNX1 mutation. According to different genotype demonstrated by multivariate analysis, 163 patients with intermediate-risk cytogenetics were classified into three subgroups: patients with NPM1-mut/ FLT3-ITD-wt or biallelic CEBPA mutation as favorable risk, patients with KIT, IDH2, TP53 or NRAS mutations as unfavorable risk, and the remaining was the intermediate risk. We also obtain information of clonal evolution during leukemia progression by observing five patients who underwent repeat NGS at relapse in our cohort. CONCLUSION NGS techniques is a useful tool for discovering related gene mutations and clonal evolution in AML genomes, leading to novel targeted therapeutic approaches that could improve patients outcomes.
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Affiliation(s)
- Xiao Chen
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Han Zhu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Chun Qiao
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Sishu Zhao
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Lu Liu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Yan Wang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Huimin Jin
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Sixuan Qian
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
| | - Yujie Wu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People's Republic of China.,Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People's Republic of China.,Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People's Republic of China
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31
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Bhatnagar B, Kohlschmidt J, Mrózek K, Zhao Q, Fisher JL, Nicolet D, Walker CJ, Mims AS, Oakes C, Giacopelli B, Orwick S, Boateng I, Blachly JS, Maharry SE, Carroll AJ, Powell BL, Kolitz JE, Stone RM, Byrd JC, Paskett ED, de la Chapelle A, Garzon R, Eisfeld AK. Poor Survival and Differential Impact of Genetic Features of Black Patients with Acute Myeloid Leukemia. Cancer Discov 2021; 11:626-637. [PMID: 33277314 PMCID: PMC7933110 DOI: 10.1158/2159-8290.cd-20-1579] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 11/19/2020] [Accepted: 11/25/2020] [Indexed: 11/16/2022]
Abstract
Clinical outcome of patients with acute myeloid leukemia (AML) is associated with cytogenetic and molecular factors and patient demographics (e.g., age and race). We compared survival of 25,523 non-Hispanic Black and White adults with AML using Surveillance Epidemiology and End Results (SEER) Program data and performed mutational profiling of 1,339 patients with AML treated on frontline Alliance for Clinical Trials in Oncology (Alliance) protocols. Black patients had shorter survival than White patients, both in SEER and in the setting of Alliance clinical trials. The disparity was especially pronounced in Black patients <60 years, after adjustment for socioeconomic (SEER) and molecular (Alliance) factors. Black race was an independent prognosticator of poor survival. Gene mutation profiles showed fewer NPM1 and more IDH2 mutations in younger Black patients. Overall survival of younger Black patients was adversely affected by IDH2 mutations and FLT3-ITD, but, in contrast to White patients, was not improved by NPM1 mutations. SIGNIFICANCE: We show that young Black patients have not benefited as much as White patients from recent progress in AML treatment in the United States. Our data suggest that both socioeconomic factors and differences in disease biology contribute to the survival disparity and need to be urgently addressed.See related commentary by Vyas, p. 540.This article is highlighted in the In This Issue feature, p. 521.
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MESH Headings
- Adolescent
- Adult
- Black or African American/genetics
- Aged
- Aged, 80 and over
- Biomarkers, Tumor
- Disease Management
- Disease Susceptibility
- Female
- Genetic Background
- Humans
- Leukemia, Myeloid, Acute/epidemiology
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/mortality
- Leukemia, Myeloid, Acute/therapy
- Male
- Middle Aged
- Mutation
- Outcome Assessment, Health Care
- Prognosis
- Public Health Surveillance
- Registries
- Risk Factors
- SEER Program
- United States/epidemiology
- Young Adult
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Affiliation(s)
- Bhavana Bhatnagar
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
- Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
| | - Qiuhong Zhao
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - James L Fisher
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
- Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Christopher J Walker
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
| | - Alice S Mims
- Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Christopher Oakes
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Brian Giacopelli
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Shelley Orwick
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Isaiah Boateng
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Sophia E Maharry
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, North Carolina
| | - Jonathan E Kolitz
- Monter Cancer Center, Hofstra Northwell School of Medicine, Lake Success, New York
| | - Richard M Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - John C Byrd
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
| | - Electra D Paskett
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio
| | | | - Ramiro Garzon
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Ann-Kathrin Eisfeld
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.
- The Ohio State University Comprehensive Cancer Center, Clara D. Bloomfield Center for Leukemia Outcomes Research, Columbus, Ohio
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Yang F, Anekpuritanang T, Press RD. Clinical Utility of Next-Generation Sequencing in Acute Myeloid Leukemia. Mol Diagn Ther 2021; 24:1-13. [PMID: 31848884 DOI: 10.1007/s40291-019-00443-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Acute myeloid leukemia (AML) is a genetically heterogeneous disease that, even with current advancements in therapy, continues to have a poor prognosis. Recurrent somatic mutations have been identified in a core set of pathogenic genes including FLT3 (25-30% prevalence), NPM1 (25-30%), DNMT3A (25-30%), IDH1/2 (5-15%), and TET2 (5-15%), with direct diagnostic, prognostic, and targeted therapeutic implications. Advances in the understanding of the complex mechanisms of AML leukemogenesis have led to the development and recent US Food and Drug Administration (FDA) approval of several targeted therapies: midostaurin and gilteritinib targeting activated FLT3, and ivosidenib and enasidenib targeting mutated IDH1/2. Several additional drug candidates targeting other recurrently mutated gene pathways in AML are also being actively developed. Furthermore, outside of the realm of predicting responses to targeted therapies, many other mutated genes, which comprise the so-called long tail of oncogenic drivers in AML, have been shown to provide clinically useful diagnostic and prognostic information for AML patients. Many of these recurrently mutated genes have also been shown to be excellent biomarkers for post-treatment minimal residual disease (MRD) monitoring for assessing treatment response and predicting future relapse. In addition, the identification of germline mutations in a set of genes predisposing to myeloid malignancies may directly inform treatment decisions (particularly stem cell transplantation) and impact other family members. Recent advances in sequencing technology have made it practically and economically feasible to evaluate many genes simultaneously using next-generation sequencing (NGS). Mutation screening with NGS panels has been recommended by national and international professional guidelines as the standard of care for AML patients. NGS-based detection of the heterogeneous genes commonly mutated in AML has practical clinical utility for disease diagnosis, prognosis, prediction of targeted therapy response, and MRD monitoring.
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Affiliation(s)
- Fei Yang
- Department of Pathology, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, L113, Portland, OR, 97239, USA.,Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Tauangtham Anekpuritanang
- Department of Pathology, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, L113, Portland, OR, 97239, USA.,Department of Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Richard D Press
- Department of Pathology, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, L113, Portland, OR, 97239, USA. .,Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA.
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Lu X, Efferth T. Repurposing of artemisinin-type drugs for the treatment of acute leukemia. Semin Cancer Biol 2021; 68:291-312. [DOI: 10.1016/j.semcancer.2020.05.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 05/22/2020] [Accepted: 05/22/2020] [Indexed: 12/19/2022]
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34
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Sahajpal NS, Mondal AK, Ananth S, Njau A, Ahluwalia P, Jones K, Ahluwalia M, Okechukwu N, Savage NM, Kota V, Rojiani AM, Kolhe R. Clinical performance and utility of a comprehensive next-generation sequencing DNA panel for the simultaneous analysis of variants, TMB and MSI for myeloid neoplasms. PLoS One 2020; 15:e0240976. [PMID: 33075099 PMCID: PMC7571681 DOI: 10.1371/journal.pone.0240976] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Accepted: 10/06/2020] [Indexed: 01/10/2023] Open
Abstract
The extensively employed limited-gene coverage NGS panels lead to clinically inadequate molecular profiling of myeloid neoplasms. The aim of the present investigation was to assess performance and clinical utility of a comprehensive DNA panel for myeloid neoplasms. Sixty-one previously well characterized samples were sequenced using TSO500 library preparation kit on NextSeq550 platform. Variants with a VAF ≥ 5% and a total read depth of >50X were filtered for analysis. The following results were recorded-for clinical samples: clinical sensitivity (97%), specificity (100%), precision (100%) and accuracy (99%) whereas reference control results were 100% for analytical sensitivity, specificity, precision and accuracy, with high intra- and inter-run reproducibility. The panel identified 880 variants across 292 genes, of which, 749 variants were in genes not covered in the 54 gene panel. The investigation revealed 14 variants in ten genes, and at least one was present in 96.2% patient samples that were pathogenic/ likely pathogenic in myeloid neoplasms. Also, 15 variants in five genes were found to be pathogenic/ likely pathogenic in other tumor types. Further, the TMB and MSI scores ranged from 0–7 and 0–9, respectively. The high analytical performance and clinical utility of this comprehensive NGS panel makes it practical and clinically relevant for adoption in clinical laboratories for routine molecular profiling of myeloid neoplasms.
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Affiliation(s)
- Nikhil Shri Sahajpal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Ashis K. Mondal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Sudha Ananth
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Allan Njau
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
- Department of Pathology, Aga Khan University Hospital, Nairobi, Kenya
| | - Pankaj Ahluwalia
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Kimya Jones
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Meenakshi Ahluwalia
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Nwogbo Okechukwu
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Natasha M. Savage
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Vamsi Kota
- Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Amyn M. Rojiani
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA, United States of America
- * E-mail:
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Practical Considerations for Treatment of Relapsed/Refractory FLT3-ITD Acute Myeloid Leukaemia with Quizartinib: Illustrative Case Reports. Clin Drug Investig 2020; 40:227-235. [PMID: 31912423 PMCID: PMC7035240 DOI: 10.1007/s40261-019-00881-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Quizartinib is a tyrosine kinase inhibitor selectively targeting the FMS-like tyrosine kinase 3 (FLT3) receptor that has been developed for the treatment of acute myeloid leukaemia (AML). The Phase 3 QuANTUM-R study investigated the efficacy of quizartinib monotherapy in patients with relapsed/refractory FLT3-ITD mutation-positive AML. The clinical course of four QuANTUM-R participants exemplifies issues specific to quizartinib treatment and is described here. Patient 1 was FLT3-ITD mutation-negative at AML diagnosis, but became FLT3-ITD mutation-positive during treatment that included several lines of chemotherapy and was therefore a suitable candidate for quizartinib. Because of the clonal shifts of AML during treatment, retesting genetic alterations at each relapse or resistance may help to identify candidates for targeted treatment options. Patient 2 developed QTc prolongation during quizartinib treatment, but the QTc interval normalised after dose reduction, allowing the patient to continue treatment and eventually resume the recommended dose. Patient 3 responded to quizartinib and was scheduled for haematopoietic stem cell transplant (HSCT), but developed febrile neutropenia and invasive aspergillosis during conditioning and subsequently died (to avoid drug-drug interactions, no azole antifungal was administered concomitantly). Care is required when selecting concomitant medications, and if there is potential for interactions (e.g. if prophylactic azole antifungals are required) the quizartinib dose should be reduced to minimise the risk of QTc prolongation. Patient 4 was able to undergo HSCT after responding to quizartinib and experienced a durable response after HSCT while on quizartinib maintenance therapy. Together, these cases illustrate the main issues to be addressed when managing patients under quizartinib, allowing for adequate scheduling and tolerability, bridging to HSCT, and durable remission on maintenance therapy in some patients.
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36
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Kirtonia A, Pandya G, Sethi G, Pandey AK, Das BC, Garg M. A comprehensive review of genetic alterations and molecular targeted therapies for the implementation of personalized medicine in acute myeloid leukemia. J Mol Med (Berl) 2020; 98:1069-1091. [PMID: 32620999 DOI: 10.1007/s00109-020-01944-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 05/18/2020] [Accepted: 06/22/2020] [Indexed: 12/17/2022]
Abstract
Acute myeloid leukemia (AML) is an extremely heterogeneous disease defined by the clonal growth of myeloblasts/promyelocytes not only in the bone marrow but also in peripheral blood and/or tissues. Gene mutations and chromosomal abnormalities are usually associated with aberrant proliferation and/or block in the normal differentiation of hematopoietic cells. So far, the combination of cytogenetic profiling and molecular and gene mutation analyses remains an essential tool for the classification, diagnosis, prognosis, and treatment for AML. This review gives an overview on how the development of novel innovative technologies has allowed us not only to detect the genetic alterations as early as possible but also to understand the molecular pathogenesis of AML to develop novel targeted therapies. We also discuss the remarkable advances made during the last decade to understand the AML genome both at primary and relapse diseases and how genetic alterations might influence the distinct biological groups as well as the clonal evolution of disease during the diagnosis and relapse. Also, the review focuses on how the persistence of epigenetic gene mutations during morphological remission is associated with relapse. It is suggested that along with the prognostic and therapeutic mutations, the novel molecular targeted therapies either approved by FDA or those under clinical trials including CART-cell therapy would be of immense importance in the effective management of AML.
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Affiliation(s)
- Anuradha Kirtonia
- Amity Institute of Molecular Medicine and Stem Cell Research (AIMMSCR), Amity University, Noida, Uttar Pradesh, 201313, India
| | - Gouri Pandya
- Amity Institute of Molecular Medicine and Stem Cell Research (AIMMSCR), Amity University, Noida, Uttar Pradesh, 201313, India
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117600, Singapore
| | - Amit Kumar Pandey
- Amity Institute of Biotechnology (AIB), Amity University, Gurgaon, Haryana, 122413, India
| | - Bhudev C Das
- Amity Institute of Molecular Medicine and Stem Cell Research (AIMMSCR), Amity University, Noida, Uttar Pradesh, 201313, India
| | - Manoj Garg
- Amity Institute of Molecular Medicine and Stem Cell Research (AIMMSCR), Amity University, Noida, Uttar Pradesh, 201313, India.
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37
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Impact of age and induction therapy on outcome of 180 adult patients with acute myeloid leukemia; retrospective analysis and literature review. Leuk Res Rep 2020; 14:100206. [PMID: 32566477 PMCID: PMC7296329 DOI: 10.1016/j.lrr.2020.100206] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 05/17/2020] [Accepted: 06/05/2020] [Indexed: 11/29/2022] Open
Abstract
The prognosis of acute myeloid leukemia (AML) remains poor. Among 180 patients, the median age was 53 (14-88) years. The overall 2-year disease free survival (DFS) was 28.6% (+/- 3.4), 47.7% (+/- 6.6%) for ≤ 40, 23.6% (+/- 5.8%) for 41–60 and 11.7% (+/- 4.2%) for ≥61 (p< 0.0001). The overall 2-year survival (OS) was 45.3% (+/- 3.8%), 78.6% (+/- 5.5%) for ≤40, 43.5% (+/- 6.9%) for 41–60 and 15.8% (+/- 4.8%) for ≥61 (p< 0.0001). Induction outcome of ≥61 was best in high dose chemotherapy (HDC) group (p < 0.0001). Only those ≤40 had durable DFS and OS. HDC appears to improve the outcome of older AML patients.
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38
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Abstract
PURPOSE OF REVIEW The field of acute myeloid leukemia (AML) has been revolutionized in recent years by the advent of high-throughput techniques, such as next-generation sequencing. In this review, we will discuss some of the recently identified mutations that have defined a new molecular landscape in this disease, as well as their prognostic, predictive, and therapeutic implications. RECENT FINDINGS Recent studies have shown how many cases of AML evolve from a premalignant period of latency characterized by the accumulation of several mutations and the emergence of one or multiple dominant clones. The pattern of co-occurring mutations and cytogenetic abnormalities at diagnosis defines risk and can determine therapeutic approaches to induce remission. Besides the genetic landscape at diagnosis, the continued presence of particular gene mutations during or after treatment carries prognostic information that should further influence strategies to maintain remission in the long term. The recent progress made in AML research is a seminal example of how basic science can translate into improving clinical practice. Our ability to characterize the genomic landscape of individual patients has not only improved our ability to diagnose and prognosticate but is also bringing the promise of precision medicine to fruition in the field.
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Affiliation(s)
- Ludovica Marando
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Brian J P Huntly
- Wellcome Trust-MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, UK.
- Department of Haematology, University of Cambridge, Cambridge, UK.
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Luo P, Jing W, Yi K, Wu S, Zhou F. Wilms' tumor 1 gene in hematopoietic malignancies: clinical implications and future directions. Leuk Lymphoma 2020; 61:2059-2067. [PMID: 32401109 DOI: 10.1080/10428194.2020.1762884] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The Wilms' tumor 1 (WT1) gene is an important regulatory molecule that plays a vital role in cell growth and development. Initially, knowledge of WT1 was mostly limited to Wilms' tumor. Over the past years, numerous studies have shown that WT1 is aberrant expressed or mutated in hematopoietic malignancies, including acute leukemia (AL), myelodysplastic syndrome (MDS) and chronic myelogenous leukemia (CML). Currently, many studies focus on exploring the role of WT1 in hematopoietic malignancies. Such studies improve the understanding of hematopoietic malignancies, and the collection of data about WT1 expression or mutation in hematopoietic malignancies over the past years can facilitate the risk stratification of hematopoietic malignancies. In this review, we highlight the important role of WT1 in hematopoietic malignancies, discuss its potential clinical applications as a minimal residual disease (MRD) and prognostic biomarker, and evaluate the possible therapy target of WT1 in hematopoietic malignancies.
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Affiliation(s)
- Ping Luo
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wei Jing
- Department of Clinical Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kezhen Yi
- Department of Clinical Laboratory Medicine & Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Sanyun Wu
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China
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The Influence of Methylating Mutations on Acute Myeloid Leukemia: Preliminary Analysis on 56 Patients. Diagnostics (Basel) 2020; 10:diagnostics10050263. [PMID: 32365516 PMCID: PMC7277399 DOI: 10.3390/diagnostics10050263] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 04/26/2020] [Accepted: 04/28/2020] [Indexed: 11/18/2022] Open
Abstract
Acute myeloid leukemia (AML) is a hematologic malignancy characterized by abnormal proliferation and a lack of differentiation of myeloid blasts. Considering the dismal prognosis this disease presents, several efforts have been made to better classify it and offer a tailored treatment to each subtype. This has been formally done by the World Health Organization (WHO) with the AML classification schemes from 2008 and 2016. Nonetheless, there are still mutations that are not currently included in the WHO AML classification, as in the case of some mutations that influence methylation. In this regard, the present study aimed to determine if some of the mutations that influence DNA methylation can be clustered together regarding methylation, expression, and clinical profile. Data from the TCGA LAML cohort were downloaded via cBioPortal. The analysis was performed using R 3.5.2, and the necessary packages for classical statistics, dimensionality reduction, and machine learning. We included only patients that presented mutations in DNMT3A, TET2, IDH1/2, ASXL1, WT1, and KMT2A. Afterwards, mutations that were present in too few patients were removed from the analysis, thus including a total of 57 AML patients. We observed that regarding expression, methylation, and clinical profile, patients with mutated TET2, IDH1/2, and WT1 presented a high degree of similarity, indicating the equivalence that these mutations present between themselves. Nonetheless, we did not observe this similarity between DNMT3A- and KMT2A-mutated AML. Moreover, when comparing the hypermethylating group with the hypomethylating one, we also observed important differences regarding expression, methylation, and clinical profile. In the current manuscript we offer additional arguments for the similarity of the studied hypermethylating mutations and suggest that those should be clustered together in further classifications. The hypermethylating and hypomethylating groups formed above were shown to be different from each other considering overall survival, methylation profile, expression profile, and clinical characteristics. In this manuscript, we present additional arguments for the similarity of the effect generated by TET2, IDH1/2, and WT1 mutations in AML patients. Thus, we hypothesize that hypermethylating mutations skew the AML cells to a similar phenotype with a possible sensitivity to hypermethylating agents.
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Feng Y, Li L, Du Y, Peng X, Chen F. E2F4 functions as a tumour suppressor in acute myeloid leukaemia via inhibition of the MAPK signalling pathway by binding to EZH2. J Cell Mol Med 2020; 24:2157-2168. [PMID: 31943751 PMCID: PMC7011140 DOI: 10.1111/jcmm.14853] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 11/10/2019] [Accepted: 11/12/2019] [Indexed: 01/03/2023] Open
Abstract
Acute myeloid leukaemia (AML) is an aggressive and mostly incurable haematological malignancy with frequent relapse after an initial response to standard chemotherapy. Therefore, novel therapies are urgently required to improve AML clinical outcome. Here, we aim to study the dysregulation of a particular transcription factor, E2F4, and its role in the progression of AML. In this study, human clinical data from the Gene Expression Profiling Interactive Analysis (GEPIA) revealed that increased E2F4 expression was associated with poor prognosis in AML patients. Moreover, the experimental results showed that E2F4 was aberrantly overexpressed in human AML patients and cell lines. Depletion of E2F4 inhibited the proliferation, induced the differentiation and suppressed the growth of AML cells in a nude mouse model. By contrast, overexpression of E2F4 promoted the proliferation and inhibited the differentiation of AML cells in vitro. Additionally, E2F4 expression not only is positively correlated with EZH2 but also can bind to EZH2. RNA microarray results also showed that E2F4 can regulate MAPK signalling pathway. EZH2 can reverse the inhibitory effect of E2F4 silencing on MAPK signaling pathway. In summary, our data suggest that E2F4 may be a potential therapeutic target for AML therapy.
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Affiliation(s)
- Yubin Feng
- The Key Laboratory of Major Autoimmune Diseases of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, China.,The Key Laboratory of Anti-inflammatory and Immune Medicines, Ministry of Education, Hefei, China
| | - Lanlan Li
- The Key Laboratory of Major Autoimmune Diseases of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, China.,The Key Laboratory of Anti-inflammatory and Immune Medicines, Ministry of Education, Hefei, China
| | - Yan Du
- The Key Laboratory of Major Autoimmune Diseases of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, China.,The Key Laboratory of Anti-inflammatory and Immune Medicines, Ministry of Education, Hefei, China
| | - Xiaoqing Peng
- The Key Laboratory of Major Autoimmune Diseases of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, China.,The Key Laboratory of Anti-inflammatory and Immune Medicines, Ministry of Education, Hefei, China
| | - Feihu Chen
- The Key Laboratory of Major Autoimmune Diseases of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei, China.,The Key Laboratory of Anti-inflammatory and Immune Medicines, Ministry of Education, Hefei, China
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Duan C, Fukuda T, Isaji T, Qi F, Yang J, Wang Y, Takahashi S, Gu J. Deficiency of core fucosylation activates cellular signaling dependent on FLT3 expression in a Ba/F3 cell system. FASEB J 2020; 34:3239-3252. [DOI: 10.1096/fj.201902313rr] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 12/16/2019] [Accepted: 12/23/2019] [Indexed: 12/29/2022]
Affiliation(s)
- Chengwei Duan
- Division of Regulatory Glycobiology Institute of Molecular Biomembrane and Glycobiology Tohoku Medical and Pharmaceutical University Sendai Japan
| | - Tomohiko Fukuda
- Division of Regulatory Glycobiology Institute of Molecular Biomembrane and Glycobiology Tohoku Medical and Pharmaceutical University Sendai Japan
| | - Tomoya Isaji
- Division of Regulatory Glycobiology Institute of Molecular Biomembrane and Glycobiology Tohoku Medical and Pharmaceutical University Sendai Japan
| | - Feng Qi
- Division of Regulatory Glycobiology Institute of Molecular Biomembrane and Glycobiology Tohoku Medical and Pharmaceutical University Sendai Japan
| | - Jie Yang
- Division of Regulatory Glycobiology Institute of Molecular Biomembrane and Glycobiology Tohoku Medical and Pharmaceutical University Sendai Japan
| | - Yuqin Wang
- Department of Pharmacology Pharmacy College Nantong University Nantong China
| | - Shinichiro Takahashi
- Division of Laboratory Medicine Faculty of Medicine Tohoku Medical and Pharmaceutical University Sendai Japan
| | - Jianguo Gu
- Division of Regulatory Glycobiology Institute of Molecular Biomembrane and Glycobiology Tohoku Medical and Pharmaceutical University Sendai Japan
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43
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Yu YH, Xin F, Dong L, Ge L, Zhai CY, Shen XL. Weighted gene coexpression network analysis identifies critical genes in different subtypes of acute myeloid leukaemia. BIOTECHNOL BIOTEC EQ 2020. [DOI: 10.1080/13102818.2020.1811767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Yan-Hui Yu
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, PR China
| | - Fei Xin
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, PR China
| | - Lu Dong
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, PR China
| | - Li Ge
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, PR China
| | - Chun-Yan Zhai
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, PR China
| | - Xu-Liang Shen
- Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, Shanxi, PR China
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44
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Fang Z, Wang X, Wu J, Xiao R, Liu J. High serum extracellular vesicle miR-10b expression predicts poor prognosis in patients with acute myeloid leukemia. Cancer Biomark 2020; 27:1-9. [PMID: 31594209 DOI: 10.3233/cbm-190211] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Increasing evidence have demonstrated that serum extracellular vesicle microRNAs (EV-miRNAs) are promising noninvasive biomarkers for various cancer types. OBJECTIVE In this study, we aimed to investigate and evaluate the potential clinical significance of serum EV-miR-10b for acute myeloid leukemia (AML). METHODS Blood samples were collected from a cohort of 95 de novo AML patients and 80 healthy individuals. Of all AML patients, 51 patients were considered as cytogenetic normal AML (CN-AML). Quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was performed to measure the expression levels of serum EV-miR-10b. RESULTS The extracellular vesicles we extracted from the serum samples were positive for EV/exosome markers including TSG101, CD63, Flotillin-1 and CD9. The expression levels of serum EV-miR-10b were significantly higher in AML/CN-AML patients than healthy controls. In addition, serum EV-miR-10b expression was strongly correlated with aggressive clinical characteristics. Moreover, receiver operating characteristic analysis showed serum EV-miR-10b yielded an area under the curve of 0.875, with 77.89% specificity and 82.50% sensitivity in identifying AML patients from normal controls. Furthermore, AML patients with higher serum EV-miR-10b expression had significantly shorter survival and serum EV-miR-10b was demonstrated to be an independent prognostic marker for overall survival in AML. CONCLUSIONS Taken together, serum EV-miR-10b might serve as a promising biomarker for predicting the prognosis of AML.
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45
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Azrakhsh NA, Mensah-Glanowska P, Sand K, Kittang AO. Targeting Immune Signaling Pathways in Clonal Hematopoiesis. Curr Med Chem 2019; 26:5262-5277. [PMID: 30907306 DOI: 10.2174/0929867326666190325100636] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 03/05/2019] [Accepted: 03/12/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Myeloid neoplasms are a diverse group of malignant diseases with different entities and numerous patho-clinical features. They arise from mutated clones of hematopoietic stem- and progenitor cells which expand by outperforming their normal counterparts. The intracellular signaling profile of cancer cells is the sum of genetic, epigenetic and microenvironmental influences, and the multiple interconnections between different signaling pathways make pharmacological targeting complicated. OBJECTIVE To present an overview of known somatic mutations in myeloproliferative neoplasms (MPN), myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) and the inflammatory signaling pathways affected by them, as well as current efforts to therapeutically modulate this aberrant inflammatory signaling. METHODS In this review, we extensively reviewed and compiled salient information with ClinicalTrials.gov as our source on ongoing studies, and PubMed as our authentic bibliographic source, using a focused review question. RESULTS Mutations affecting immune signal transduction are present to varying extents in clonal myeloid diseases. While MPN are dominated by a few common mutations, a multitude of different genes can be mutated in MDS and AML. Mutations can also occur in asymptomatic persons, a finding called clonal hematopoiesis of indeterminate potential (CHIP). Mutations in FLT3, JAK, STAT, CBL and RAS can lead to aberrant immune signaling. Protein kinase inhibitors are entering the clinic and are extensively investigated in clinical trials in MPN, MDS and AML. CONCLUSION In summary, this article summarizes recent research on aberrant inflammatory signaling in clonal myeloid diseases and the clinical therapeutic potential of modulation of signal transduction and effector proteins in the affected pathways.
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Affiliation(s)
| | - Patrycja Mensah-Glanowska
- Department of Hematology, Jagiellonian University Medical College / University Hospital, Krakow, Poland
| | - Kristoffer Sand
- Clinic of Medicine and Rehabilitation, More and Romsdal Hospital Trust, Alesund, Norway
| | - Astrid Olsnes Kittang
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Medicine, Section for Hematology, Haukeland University Hospital, Bergen, Norway
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Prognostic hallmarks in AML. Nat Biomed Eng 2019; 3:847-849. [PMID: 31705121 DOI: 10.1038/s41551-019-0474-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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47
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Du W, Lu C, Zhu X, Hu D, Chen X, Li J, Liu W, Zhu J, He Y, Yao J. Prognostic significance of CXCR4 expression in acute myeloid leukemia. Cancer Med 2019; 8:6595-6603. [PMID: 31518054 PMCID: PMC6825984 DOI: 10.1002/cam4.2535] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 08/08/2019] [Accepted: 08/15/2019] [Indexed: 12/12/2022] Open
Abstract
Background CXCR4 chemokine receptors play an important role in leukemia proliferation, extramedullary migration, infiltration, adhesion, and resistance to chemotherapy drugs. Methods The CXCR4 expression by flow cytometry in 122 acute myeloid leukemia (AML) patients between 2010 and 2014 was analyzed. Results The expression of CXCR4 in AML‐M4/M5 was found to be significantly higher than that of other subtypes according to both FAB subtype and WHO classification. The FLT3‐ITD mutant was significantly higher in high CXCR4 expression group (P = .0086). Our data also showed that CXCR4 expression was correlated with CD64 expression. Low CXCR4 expression on AML cells was associated with better prognosis, and the median overall survival (OS) for low CXCR4 expression patients was 318 days, compared with 206 days for patients with high CXCR4 expression (P = .045). Multivariate analysis revealed that CXCR4 expression, age, and extramedullary infiltration were independent prognostic factors. Conclusions Our study demonstrated that CXCR4 expression in AML was an independent prognostic predictor for disease survival that could be rapidly and easily determined by flow cytometry at disease presentation.
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Affiliation(s)
- Wen Du
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cong Lu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinyun Zhu
- Neonatal Screening Center, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dong Hu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiangjun Chen
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juan Li
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiang Zhu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanli He
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junxia Yao
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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48
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Bill M, Papaioannou D, Karunasiri M, Kohlschmidt J, Pepe F, Walker CJ, Walker AE, Brannan Z, Pathmanathan A, Zhang X, Mrózek K, LaRocco A, Volinia S, Bloomfield CD, Garzon R, Dorrance AM. Expression and functional relevance of long non-coding RNAs in acute myeloid leukemia stem cells. Leukemia 2019; 33:2169-2182. [PMID: 30858548 DOI: 10.1038/s41375-019-0429-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 01/28/2019] [Accepted: 02/01/2019] [Indexed: 02/08/2023]
Abstract
In acute myeloid leukemia (AML), novel therapies are needed to target not only the rapidly dividing AML blasts but also the distinct population of leukemia stem cells (LSCs), which have abnormal self-renewal capacity and increased chemotherapy resistance. Elucidation of the expression and function of deregulated genes in LSCs is critical to specifically target LSCs and may consequently lead to improving outcomes of AML patients. Here, we correlated long non-coding RNA (lncRNA) expression profiles obtained from two RNA-seq datasets of 375 younger (aged <60 years) 76 older (≥60 years) adults with cytogenetically normal AML with a 'core enriched' (CE) gene expression signature (GES) associated with LSCs. We identified a LSC-specific signature of 111 lncRNAs that correlated strongly with the CE-GES. Among the top upregulated LSC-associated lncRNAs, we identified the lncRNA DANCR. Further experiments confirmed that DANCR is upregulated in functionally validated LSC-enriched populations. DANCR knock-down in LSCs resulted in decreased stem-cell renewal and quiescence. Furthermore, we showed that targeting Dancr in vivo using a primary murine model of AML (expressing both Mll partial tandem duplication/Flt3 internal tandem duplication) prolonged the survival of mice after serial transplantation. Our data suggest that LSCs have a distinct lncRNA signature with functional relevance and therapeutic potential.
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Affiliation(s)
- Marius Bill
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | | | - Malith Karunasiri
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | | | - Felice Pepe
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | | | - Allison E Walker
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Zachary Brannan
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | | | - Xiaoli Zhang
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Allison LaRocco
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Stefano Volinia
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Clara D Bloomfield
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Ramiro Garzon
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA.
| | - Adrienne M Dorrance
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA.
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Clinical and molecular characterization of patients with acute myeloid leukemia and sole trisomies of chromosomes 4, 8, 11, 13 or 21. Leukemia 2019; 34:358-368. [PMID: 31462731 DOI: 10.1038/s41375-019-0560-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 07/01/2019] [Accepted: 07/15/2019] [Indexed: 12/13/2022]
Abstract
Sole trisomies of chromosomes 4, 8, 11, 13 and 21 account for 89-95% of all sole trisomies in adult AML patients. We analyzed clinical and molecular characteristics of 138 de novo AML patients with sole +4, +8, +11, +13 or +21, and compared them with AML patients with those trisomies occurring in addition to other chromosome abnormalities (non-sole trisomy) and with cytogenetically normal AML (CN-AML) patients. Mutations in methylation-related genes were most commonly observed within each sole trisomy group (+4, 55%; +8, 58%; +11, 71%; +13, 71%; +21, 75% of patients). Patients with sole trisomies, excluding +4, also had frequent mutations in spliceosome genes (+8, 43%; +11, 65%; +13, 65%; +21, 45% of patients). In contrast, +4 patients frequently had mutations in transcription factor genes (44%) and NPM1 (36%). While 48% of patients with sole trisomies harbored mutations in a spliceosome gene, spliceosome mutations were observed in only 24% of non-sole trisomy (n = 131, P < 0.001) and 19% of CN-AML patients (n = 716, P < 0.001). Our data suggest that mutations affecting methylation-related genes are a molecular hallmark of sole trisomies. Mutations in spliceosome genes were also commonly observed in many sole trisomy patients and represent a novel finding in this cytogenetic subgroup.
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50
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Walker CJ, Kohlschmidt J, Eisfeld AK, Mrózek K, Liyanarachchi S, Song C, Nicolet D, Blachly JS, Bill M, Papaioannou D, Oakes CC, Giacopelli B, Genutis LK, Maharry SE, Orwick S, Archer KJ, Powell BL, Kolitz JE, Uy GL, Wang ES, Carroll AJ, Stone RM, Byrd JC, de la Chapelle A, Bloomfield CD. Genetic Characterization and Prognostic Relevance of Acquired Uniparental Disomies in Cytogenetically Normal Acute Myeloid Leukemia. Clin Cancer Res 2019; 25:6524-6531. [PMID: 31375516 DOI: 10.1158/1078-0432.ccr-19-0725] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/06/2019] [Accepted: 07/30/2019] [Indexed: 11/16/2022]
Abstract
PURPOSE Uniparental disomy (UPD) is a way cancer cells duplicate a mutated gene, causing loss of heterozygosity (LOH). Patients with cytogenetically normal acute myeloid leukemia (CN-AML) do not have microscopically detectable chromosome abnormalities, but can harbor UPDs. We examined the prognostic significance of UPDs and frequency of LOH in patients with CN-AML.Experimental Design: We examined the frequency and prognostic significance of UPDs in a set of 425 adult patients with de novo CN-AML who were previously sequenced for 81 genes typically mutated in cancer. Associations of UPDs with outcome were analyzed in the 315 patients with CN-AML younger than 60 years. RESULTS We detected 127 UPDs in 109 patients. Most UPDs were large and typically encompassed all or most of the affected chromosome arm. The most common UPDs occurred on chromosome arms 13q (7.5% of patients), 6p (2.8%), and 11p (2.8%). Many UPDs significantly cooccurred with mutations in genes they encompassed, including 13q UPD with FLT3-internal tandem duplication (FLT3-ITD; P < 0.001), and 11p UPD with WT1 mutations (P = 0.02). Among patients younger than 60 years, UPD of 11p was associated with longer overall survival (OS) and 13q UPD with shorter disease-free survival (DFS) and OS. In multivariable models that accounted for known prognostic markers, including FLT3-ITD and WT1 mutations, UPD of 13q maintained association with shorter DFS, and UPD of 11p maintained association with longer OS. CONCLUSIONS LOH mediated by UPD is a recurrent feature of CN-AML. Detection of UPDs of 13q and 11p might be useful for genetic risk stratification of patients with CN-AML.
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Affiliation(s)
| | - Jessica Kohlschmidt
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | - Krzysztof Mrózek
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | - Chi Song
- Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio
| | - Deedra Nicolet
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.,Alliance Statistics and Data Center, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - James S Blachly
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Marius Bill
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | | | | | - Brian Giacopelli
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Luke K Genutis
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Sophia E Maharry
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Shelley Orwick
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Kellie J Archer
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio.,Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio
| | - Bayard L Powell
- Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, North Carolina
| | - Jonathan E Kolitz
- Monter Cancer Center, Zucker School of Medicine at Hofstra/Northwell, Lake Success, New York
| | - Geoffrey L Uy
- Washington University School of Medicine in St. Louis, Siteman Cancer Center, St. Louis, Missouri
| | - Eunice S Wang
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | | | - John C Byrd
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
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