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Cytogenetic evolution predicts a poor prognosis in acute myeloid leukemia patients who relapse after allogeneic hematopoietic stem cell transplantation. Ann Hematol 2023; 102:89-97. [PMID: 36542104 DOI: 10.1007/s00277-022-05061-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 11/13/2022] [Indexed: 12/24/2022]
Abstract
Acute myeloid leukemia (AML) patients relapsing after allogeneic hematopoietic stem cell transplantation (allo-HSCT) have a poor prognosis. Cytogenetic evolution (CGE) has been investigated and found to have an important impact on the prognosis of relapsed leukemia, but its impact on AML patients relapsing after transplantation remains controversial. In this study, we analyzed 34 AML patients relapsing after allo-HSCT, among whom 14 developed additional abnormalities in chromosomal karyotype after leukemia recurrence (CGE group) and 20 patients did not (non-CGE group). We found that the cytogenetic characteristics were much more complex at relapse in the CGE group, and the acquisition of aberrations at relapse most commonly involved chromosome 11. The 6-month post-relapse overall survival (PROS) of the CGE group was significantly lower than that of the non-CGE group (21.4% versus 50.0%, P = 0.004). The CGE group also showed a trend of worse 2-year OS (7.1% versus 28.6%, P = 0.096). In the multivariate analyses, the occurrence of chronic graft-versus-host disease (HR 0.27 [95% CI, 0.11-0.68], P = 0.006) and a reduced-intensity FBA conditioning regimen (HR 0.42 [95% CI, 0.18-0.98], P = 0.045) were found to be two independent factors for a better PROS, whereas CGE (HR 3.16 [95% CI, 1.42-7.05], P = 0.005) was associated with a worse PROS. In conclusion, CGE was associated with a poor prognosis in AML patients who relapsed after allo-HSCT, and the importance of monitoring karyotype changes after transplantation should be noted.
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Okada Y, Nakasone H, Nakamura Y, Kawamura M, Kawamura S, Takeshita J, Yoshino N, Misaki Y, Yoshimura K, Matsumi S, Gomyo A, Kawamura T, Akahoshi Y, Kusuda M, Kameda K, Tanihara A, Tamaki M, Kimura SI, Kobayashi S, Kako S, Kimura F, Kanda Y. Prognostic impact of chromosomal changes at relapse after allogeneic hematopoietic cell transplantation for acute myeloid leukemia or myelodysplastic syndrome. Bone Marrow Transplant 2022; 57:810-816. [PMID: 35314792 DOI: 10.1038/s41409-022-01635-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 02/23/2022] [Accepted: 03/02/2022] [Indexed: 11/09/2022]
Abstract
Chromosome analysis is a powerful prognostic tool in myeloid malignancies. Recipients who experience relapse after allogeneic hematopoietic cell transplantation (allo-HCT) often show chromosomal changes between diagnosis and relapse. However, the clinical impact of chromosomal changes and the efficacy of post-relapse treatment according to chromosomal changes have not been fully investigated. We retrospectively analyzed 72 recipients who had experienced relapse after allo-HCT for acute myeloid leukemia or myelodysplastic syndrome. We categorized them into two groups: with or without clonal chromosomal changes at relapse after allo-HCT. Post-relapse survival was shorter in the clonal chromosomal change group (median 117 days vs 275 days, P = 0.019). Moreover, acquisition of chromosome 7 abnormality or complex changes tended to be associated with inferior survival in a univariate analysis (median 92 days vs median 173 days, P = 0.043), and this adverse impact was confirmed in a multivariate analysis (hazard ratio 2.07, P = 0.024). The patterns of chromosomal changes from diagnosis to relapse after allo-HCT were heterogenous, and further investigations are required to clarify the effect of individual chromosomal changes.
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Affiliation(s)
- Yosuke Okada
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.,Division of Hematology, Department of Internal Medicine, National Defense Medical College Hospital, Saitama, Japan
| | - Hideki Nakasone
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Yuhei Nakamura
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Masakatsu Kawamura
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Shunto Kawamura
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Junko Takeshita
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Nozomu Yoshino
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Yukiko Misaki
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Kazuki Yoshimura
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Shimpei Matsumi
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Ayumi Gomyo
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Toshikuni Kawamura
- Division of Hematology, Department of Internal Medicine, National Defense Medical College Hospital, Saitama, Japan
| | - Yu Akahoshi
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Machiko Kusuda
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Kazuaki Kameda
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Aki Tanihara
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Masaharu Tamaki
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Shun-Ichi Kimura
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Shinichi Kobayashi
- Division of Hematology, Department of Internal Medicine, National Defense Medical College Hospital, Saitama, Japan
| | - Shinichi Kako
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Fumihiko Kimura
- Division of Hematology, Department of Internal Medicine, National Defense Medical College Hospital, Saitama, Japan
| | - Yoshinobu Kanda
- Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
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Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation. JOURNAL OF ONCOLOGY 2021; 2021:5531736. [PMID: 33828590 PMCID: PMC8004384 DOI: 10.1155/2021/5531736] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 02/26/2021] [Accepted: 03/02/2021] [Indexed: 02/08/2023]
Abstract
Acute myeloid leukemia (AML) is a type of hematological malignancy with diverse genetic pathogenesis. Identification of the miR-93-5p targeted pathogenic markers could be useful for AML diagnosis and potential therapy. We collected 751 miR-93-5p targeted and AML-related genes by integrating the results of multiple databases and then used the expression profile of TCGA-LAML to construct a coexpression function network of AML WGCNA. Based on the clinical phenotype and module trait relationship, we identified two modules (brown and yellow) as interesting dysfunction modules, which have a significant association with cytogenetics risk and FAB classification systems. GO enrichment and KEGG analysis showed that these modules are mainly involved with cancer-associated pathways, including MAPK signal pathway, p53 signal pathway, JAK-STAT signal pathway, TGF-beta signaling pathway, mTOR signaling pathway, VEGF signaling pathway, both associated with the occurrence of AML. Besides, using the STRING database, we discovered the top 10 hub genes in each module, including MAPK1, ACTB, RAC1, GRB2, MDM2, ACTR2, IGF1R, CDKN1A, YWHAZ, and YWHAB in the brown module and VEGFA, FGF2, CCND1, FOXO3, IGFBP3, GSF1, IGF2, SLC2A4, PDGFBM, and PIK3R2 in the yellow module. The prognosis analysis result showed that six key pathogens have significantly affected the overall survival and prognosis in AML. Interestingly, VEGF with the most significant regulatory relationship in the yellow modules significantly positively correlated with the clinical phenotype of AML. We used qPCR and ELISA to verify miR-93-5p and VEGF expression in our clinical samples. The results exhibited that miR-93-5p and VEGF were both highly expressed in AML.
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