1
|
Row C, Lechevalier N, Vial JP, Mimoun A, Bastie JN, Lafon I, Pigneux A, Leguay T, Callanan M, Maynadie M, Béné MC, Dumas PY, Guy J. Prognostic value of postinduction medullary myeloid recovery by flow cytometry in acute myeloid leukemia. EJHAEM 2024; 5:84-92. [PMID: 38406512 PMCID: PMC10887270 DOI: 10.1002/jha2.822] [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: 07/21/2023] [Revised: 09/29/2023] [Accepted: 10/16/2023] [Indexed: 02/27/2024]
Abstract
Risk stratification and treatment response evaluation are key features in acute myeloid leukemia (AML) management. Immunophenotypic and molecular approaches all rely on the detection of persisting leukemic cells by measurable residual disease techniques. A new approach is proposed here by assessing medullary myeloid maturation by flow cytometry through a myeloid progenitor ratio (MPR). The normal MPR range was defined using reference normal bone marrows (n = 48). MPR was considered balanced if between 1 and 4 and unbalanced if < 1 or > 4. MPR was retrospectively assessed at baseline and post-induction for 206 newly diagnosed AML patients eligible for intensive treatment from two different French centers. All AML baseline MPR were unbalanced and thus significantly different from normal MPR (p < 0.0001). Patients with an unbalanced MPR after induction had worse 3-year overall survival (OS) (44.4% vs. 80.2%, HR, 2.96; 95% CI, 1.81-4.84, p < 0.0001) and 3-year relapse free survival (RFS) (38.7% vs. 64.4%, HR, 2.11; 95% CI, 1.39-3.18, p < 0.001). In multivariate analysis, postinduction unbalanced MPR was significantly associated with shorter OS and RFS regardless of the European LeukemiaNet 2010 risk stratification or NPM1/FLT3-ITD status. A balanced postinduction MPR conversely conferred favorable outcomes and reflects medullary myeloid recovery.
Collapse
Affiliation(s)
- Céline Row
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | | | | | - Aguirre Mimoun
- Service d'Hématologie BiologiqueCHU de BordeauxBordeauxFrance
| | - Jean Noel Bastie
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
- Service d'Hématologie CliniqueCHU de DijonDijonFrance
| | - Ingrid Lafon
- Service d'Hématologie BiologiqueCHU de BordeauxBordeauxFrance
| | - Arnaud Pigneux
- Service d'Hématologie Clinique et de Thérapie CellulaireCHU de BordeauxBordeauxFrance
| | - Thibaut Leguay
- Service d'Hématologie Clinique et de Thérapie CellulaireCHU de BordeauxBordeauxFrance
| | - Mary Callanan
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | - Marc Maynadie
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| | - Marie C. Béné
- CRCI2NA INSERM UMR 1307 & CNRS UMR 6075 Université de NantesNantesFrance
| | | | - Julien Guy
- Service d'Hématologie BiologiqueCHU de DijonDijonFrance
- University of Burgundy‐ISITE‐BFC‐Institut National de la Santé et de la Recherche Médicale (Inserm) UMR1231Faculty of MedicineDijonFrance
| |
Collapse
|
2
|
Sargas C, Ayala R, Larráyoz MJ, Chillón MC, Rodriguez-Arboli E, Bilbao C, Prados de la Torre E, Martínez-Cuadrón D, Rodríguez-Veiga R, Boluda B, Gil C, Bernal T, Bergua J, Algarra L, Tormo M, Martínez-Sánchez P, Soria E, Serrano J, Alonso-Dominguez JM, García R, Amigo ML, Herrera-Puente P, Sayas MJ, Lavilla-Rubira E, Martínez-López J, Calasanz MJ, García-Sanz R, Pérez-Simón JA, Gómez Casares MT, Sánchez-García J, Barragán E, Montesinos P. Comparison of the 2022 and 2017 European LeukemiaNet risk classifications in a real-life cohort of the PETHEMA group. Blood Cancer J 2023; 13:77. [PMID: 37173322 PMCID: PMC10182047 DOI: 10.1038/s41408-023-00835-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 03/24/2023] [Accepted: 04/11/2023] [Indexed: 05/15/2023] Open
Abstract
Next-Generation Sequencing is needed for the accurate genetic risk stratification of acute myeloid leukemia according to European LeukemiaNet (ELN) guidelines. We validated and compared the 2022 ELN risk classification in a real-life cohort of 546 intensively and 379 non-intensively treated patients. Among fit patients, those aged ≥65 years old showed worse OS than younger regardless risk classification. Compared with the 2017 classification, 14.5% of fit patients changed the risk with the 2022 classification, increasing the high-risk group from 44.3% to 51.8%. 3.7% and 0.9% FLT3-ITD mutated patients were removed from the favorable and adverse 2017 categories respectively to 2022 intermediate risk group. We suggest that midostaurin therapy could be a predictor for 3 years OS (85.2% with vs. 54.8% without midostaurin, P = 0.04). Forty-seven (8.6%) patients from the 2017 intermediate group were assigned to the 2022 adverse-risk group as they harbored myelodysplasia (MDS)-related mutations. Patients with one MDS-related mutation did not reach median OS, while patients with ≥2 mutations had 13.6 months median OS (P = 0.002). Patients with TP53 ± complex karyotype or inv(3) had a dismal prognosis (7.1 months median OS). We validate the prognostic utility of the 2022 ELN classification in a real-life setting providing supportive evidences to improve risk stratification guidelines.
Collapse
Affiliation(s)
- Claudia Sargas
- Grupo Acreditado de Investigación en Hematología, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Rosa Ayala
- Hospital Universitario 12 de Octubre, CNIO, Complutense University, Madrid, Spain
| | | | - María C Chillón
- Servicio de Hematología, Hospital Universitario de Salamanca (HUS/IBSAL), CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), Salamanca, Spain
| | - Eduardo Rodriguez-Arboli
- Hospital Universitario Virgen del Rocío, Instituto de Biomedicina (IBIS/CSIC), Universidad de Sevilla, Sevilla, Spain
| | - Cristina Bilbao
- Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | | | - David Martínez-Cuadrón
- Servicio de Hematología, Grupo Acreditado de Investigación en Hematología, Hospital Universitario y Politécnico La Fe, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Rebeca Rodríguez-Veiga
- Servicio de Hematología, Grupo Acreditado de Investigación en Hematología, Hospital Universitario y Politécnico La Fe, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Blanca Boluda
- Servicio de Hematología, Grupo Acreditado de Investigación en Hematología, Hospital Universitario y Politécnico La Fe, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Cristina Gil
- Hospital General Universitario de Alicante, Alicante, Spain
| | - Teresa Bernal
- Hospital Universitario Central de Asturias, Instituto Universitario (IUOPA), Instituto de investigación del Principado de Asturias (ISPA), Oviedo, Spain
| | - Juan Bergua
- Hospital Universitario San Pedro de Alcántara, Cáceres, Spain
| | | | - Mar Tormo
- Hospital Clínico Universitario-INCLIVA, Valencia, Spain
| | | | - Elena Soria
- Hospital Universitario Virgen del Rocío, Instituto de Biomedicina (IBIS/CSIC), Universidad de Sevilla, Sevilla, Spain
| | - Josefina Serrano
- IMIBIC, Hematology, Hospital Universitario Reina Sofía, UCO, Córdoba, Spain
| | | | | | | | | | | | | | | | | | - Ramón García-Sanz
- Servicio de Hematología, Hospital Universitario de Salamanca (HUS/IBSAL), CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), Salamanca, Spain
| | - José A Pérez-Simón
- Hospital Universitario Virgen del Rocío, Instituto de Biomedicina (IBIS/CSIC), Universidad de Sevilla, Sevilla, Spain
| | - María T Gómez Casares
- Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain
| | | | - Eva Barragán
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
- Servicio Análisis Clínicos, Grupo Acreditado de Investigación en Hematología, Hospital Universitario y Politécnico La Fe, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Pau Montesinos
- Servicio de Hematología, Grupo Acreditado de Investigación en Hematología, Hospital Universitario y Politécnico La Fe, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain.
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain.
| |
Collapse
|
3
|
Villar S, Ariceta B, Agirre X, Urribarri AD, Ayala R, Martínez-Cuadrón D, Bergua JM, Vives S, Algarra L, Tormo M, Martínez P, Serrano J, Simoes C, Herrera P, Calasanz MJ, Alfonso-Piérola A, Paiva B, Martínez-López J, San Miguel JF, Prósper F, Montesinos P. The transcriptomic landscape of elderly acute myeloid leukemia identifies B7H3 and BANP as a favorable signature in high-risk patients. Front Oncol 2022; 12:1054458. [PMID: 36505804 PMCID: PMC9729799 DOI: 10.3389/fonc.2022.1054458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/02/2022] [Indexed: 11/25/2022] Open
Abstract
Acute myeloid leukemia (AML) in the elderly remains a clinical challenge, with a five-year overall survival rate below 10%. The current ELN 2017 genetic risk classification considers cytogenetic and mutational characteristics to stratify fit AML patients into different prognostic groups. However, this classification is not validated for elderly patients treated with a non-intensive approach, and its performance may be suboptimal in this context. Indeed, the transcriptomic landscape of AML in the elderly has been less explored and it might help stratify this group of patients. In the current study, we analyzed the transcriptome of 224 AML patients > 65 years-old at diagnosis treated in the Spanish PETHEMA-FLUGAZA clinical trial in order to identify new prognostic biomarkers in this population. We identified a specific transcriptomic signature for high-risk patients with mutated TP53 or complex karyotype, revealing that low expression of B7H3 gene with high expression of BANP gene identifies a subset of high-risk AML patients surviving more than 12 months. This result was further validated in the BEAT AML cohort. This unique signature highlights the potential of transcriptomics to identify prognostic biomarkers in in elderly AML.
Collapse
Affiliation(s)
- Sara Villar
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain
| | - Beñat Ariceta
- CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Centro de Investigación Médica Aplicada (CIMA) LAB Diagnostics, Universidad de Navarra, Pamplona, Spain,Program of Hematology-Oncology, CIMA, Universidad de Navarra, Pamplona, Spain
| | - Xabier Agirre
- CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Program of Hematology-Oncology, CIMA, Universidad de Navarra, Pamplona, Spain
| | | | - Rosa Ayala
- Hospital Universitario 12 de octubre, Madrid, Spain
| | | | | | - Susana Vives
- ICO Badalona- Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Mar Tormo
- Hospital Clínico Universitario de Valencia, Valencia, Spain
| | | | - Josefina Serrano
- Hospital Universitario Reina Sofía, Córdoba, Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
| | - Catia Simoes
- Program of Hematology-Oncology, CIMA, Universidad de Navarra, Pamplona, Spain
| | | | - Maria José Calasanz
- CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Centro de Investigación Médica Aplicada (CIMA) LAB Diagnostics, Universidad de Navarra, Pamplona, Spain
| | - Ana Alfonso-Piérola
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain
| | - Bruno Paiva
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,Centro de Investigación Médica Aplicada (CIMA) LAB Diagnostics, Universidad de Navarra, Pamplona, Spain
| | | | - Jesús F. San Miguel
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain
| | - Felipe Prósper
- Servicio de Hematología y Terapia Celular, Clínica Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain,CIBERONC Centro de Investigación Biomédica en Red de Cáncer, Pamplona, Spain,*Correspondence: Felipe Prósper, ; Pau Montesinos,
| | - Pau Montesinos
- Hospital Universitario y Politécnico la Fe, Valencia, Spain,*Correspondence: Felipe Prósper, ; Pau Montesinos,
| |
Collapse
|
4
|
In Pursuit of Genetic Prognostic Factors and Treatment Approaches in Secondary Acute Myeloid Leukemia—A Narrative Review of Current Knowledge. J Clin Med 2022; 11:jcm11154283. [PMID: 35893374 PMCID: PMC9332027 DOI: 10.3390/jcm11154283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 07/01/2022] [Accepted: 07/15/2022] [Indexed: 02/05/2023] Open
Abstract
Secondary acute myeloid leukemia can be divided into two categories: AML evolving from the antecedent hematological condition (AHD-AML) and therapy related AML (t-AML). AHD-AML can evolve from hematological conditions such as myelodysplastic syndromes, myeloproliferative neoplasms, MDS/MPN overlap syndromes, Fanconi anemia, and aplastic anemia. Leukemic transformation occurs as a consequence of the clonal evolution—a process of the acquisition of mutations in clones, while previous mutations are also passed on, leading to somatic mutations accumulation. Compared de novo AML, secondary AML is generally associated with poorer response to chemotherapy and poorer prognosis. The therapeutic options for patients with s-AML have been confirmed to be limited, as s-AML has often been analyzed either both with de novo AML or completely excluded from clinical trials. The treatment of s-AML was not in any way different than de novo AML, until, that is, the introduction of CPX-351—liposomal daunorubicin and cytarabine. CPX-351 significantly improved the overall survival and progression free survival in elderly patients with s-AML. The only definitive treatment in s-AML at this time is allogeneic hematopoietic cell transplantation. A better understanding of the genetics and epigenetics of s-AML would allow us to determine precise biologic drivers leading to leukogenesis and thus help to apply a targeted treatment, improving prognosis.
Collapse
|
5
|
Zhao D, Zarif M, Eladl E, Capo-Chichi JM, CSmith A, Atenafu E, Tierens A, Minden M, Schuh A, Chang H. NPM1-mutated AML-MRC diagnosed on the basis of history of MDS or MDS/MPN frequently harbours secondary-type mutations and confers inferior outcome compared to AML with mutated NPM1. Leuk Res 2022; 118:106869. [DOI: 10.1016/j.leukres.2022.106869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/16/2022] [Accepted: 05/19/2022] [Indexed: 11/17/2022]
|
6
|
The Role of Nucleophosmin 1 ( NPM1) Mutation in the Diagnosis and Management of Myeloid Neoplasms. LIFE (BASEL, SWITZERLAND) 2022; 12:life12010109. [PMID: 35054502 PMCID: PMC8780493 DOI: 10.3390/life12010109] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/07/2022] [Accepted: 01/11/2022] [Indexed: 11/17/2022]
Abstract
Nucleophosmin (NPM1) is a multifunctional protein with both proliferative and growth-suppressive roles in the cell. In humans, NPM1 is involved in tumorigenesis via chromosomal translocations, deletions, or mutation. Acute myeloid leukemia (AML) with mutated NPM1, a distinct diagnostic entity by the current WHO Classification of myeloid neoplasm, represents the most common diagnostic subtype in AML and is associated with a favorable prognosis. The persistence of NPM1 mutation in AML at relapse makes this mutation an ideal target for minimal measurable disease (MRD) detection. The clinical implication of this is far-reaching because NPM1-mutated AML is currently classified as being of standard risk, with the best treatment strategy (transplantation versus chemotherapy) yet undefined. Myeloid neoplasms with NPM1 mutations and <20% blasts are characterized by an aggressive clinical course and a rapid progression to AML. The pathological classification of these cases remains controversial. Future studies will determine whether NPM1 gene mutation may be sufficient for diagnosing NPM1-mutated AML independent of the blast count. This review aims to summarize the role of NPM1 in normal cells and in human cancer and discusses its current role in clinical management of AML and related myeloid neoplasms.
Collapse
|
7
|
NPM1-Mutated Myeloid Neoplasms with <20% Blasts: A Really Distinct Clinico-Pathologic Entity? Int J Mol Sci 2020; 21:ijms21238975. [PMID: 33255988 PMCID: PMC7730332 DOI: 10.3390/ijms21238975] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 11/19/2020] [Accepted: 11/24/2020] [Indexed: 12/16/2022] Open
Abstract
Nucleophosmin (NPM1) gene mutations rarely occur in non-acute myeloid neoplasms (MNs) with <20% blasts. Among nearly 10,000 patients investigated so far, molecular analyses documented NPM1 mutations in around 2% of myelodysplastic syndrome (MDS) cases, mainly belonging to MDS with excess of blasts, and 3% of myelodysplastic/myeloproliferative neoplasm (MDS/MPN) cases, prevalently classified as chronic myelomonocytic leukemia. These uncommon malignancies are associated with an aggressive clinical course, relatively rapid progression to overt acute myeloid leukemia (AML) and poor survival outcomes, raising controversies on their classification as distinct clinico-pathologic entities. Furthermore, fit patients with NPM1-mutated MNs with <20% blasts could benefit most from upfront intensive chemotherapy for AML rather than from moderate intensity MDS-directed therapies, although no firm conclusion can currently be drawn on best therapeutic approaches, due to the limited available data, obtained from small and mainly retrospective series. Caution is also suggested in definitely diagnosing NPM1-mutated MNs with blast count <20%, since NPM1-mutated AML cases frequently present dysplastic features and multilineage bone marrow cells showing abnormal cytoplasmic NPM1 protein delocalization by immunohistochemical staining, therefore belonging to NPM1-mutated clone regardless of blast morphology. Further prospective studies are warranted to definitely assess whether NPM1 mutations may become sufficient to diagnose AML, irrespective of blast percentage.
Collapse
|
8
|
Montalban-Bravo G, Kanagal-Shamanna R, Class CA, Sasaki K, Ravandi F, Cortes JE, Daver N, Takahashi K, Short NJ, DiNardo CD, Jabbour E, Borthakur G, Naqvi K, Issa GC, Konopleva M, Khoury JD, Routbort M, Pierce S, Do KA, Bueso-Ramos C, Patel K, Kantarjian H, Garcia-Manero G, Kadia TM. Outcomes of acute myeloid leukemia with myelodysplasia related changes depend on diagnostic criteria and therapy. Am J Hematol 2020; 95:612-622. [PMID: 32112433 DOI: 10.1002/ajh.25769] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 02/20/2020] [Accepted: 02/27/2020] [Indexed: 02/03/2023]
Abstract
Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) is a heterogeneous disorder defined by multilineage dysplasia, myelodysplastic syndrome (MDS)-related karyotype, or history of prior MDS. We evaluated 415 patients with AML-MRC treated from 2013 to 2018 and analyzed their clinical outcomes based on the diagnostic criteria of AML-MRC, therapy type and mutation profile. Criteria for AML-MRC included: cytogenetic abnormalities (AML-MRC-C) in 243 (59%), prior history of MDS in 75 (18%) including 47 (11%) with previously untreated MDS (AML-MRC-H) and 28 (7%) with previously treated MDS (AML-MRC-TS), and 97 (23%) with multilineage dysplasia (AML-MRC-M). Median age was 70 years (range 18-94). Among 95 evaluable patients, a total of 37 (39%) had secondary-type (ASXL1, BCOR, EZH2, SF3B1, SRSF2, STAG2, U2AF1, ZRSR2) mutations. Mutations in ASXL1, BCOR, SF3B1, SRSF2, and U2AF1 tended to appear in dominant clones. By multivariate analysis, AML-MRC subtype, age and serum LDH levels were independent predictors of outcome, with patients with AML-MRC-M (HR 0.56, CI 0.38-0.84, P = .004) and AML-MRC-H having better OS. Compared to a cohort of 468 patients with AML without MRC, patients with AML-MRC-M/AML-MRC-H had similar outcomes to those with intermediate risk AML by European LeukemiaNet criteria. Intensive therapy was associated with improved OS in patients with AML-MRC-M (HR 0.42, CI 0.19-0.94, P = .036) and with improved EFS in AML-MRC-M and AML-MRC-H (HR 0.26, CI 0.10-0.63, P = .003). This data suggests that not all diagnostic criteria for AML-MRC define high-risk patients and that specific subgroups may benefit from different therapeutic interventions.
Collapse
Affiliation(s)
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Caleb A Class
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Koji Sasaki
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jorge E Cortes
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Naval Daver
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Nicholas J Short
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Courtney D DiNardo
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Gautam Borthakur
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kiran Naqvi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ghayas C Issa
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Joseph D Khoury
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Mark Routbort
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sherry Pierce
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kim-Anh Do
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Carlos Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Keyur Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hagop Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Guillermo Garcia-Manero
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Tapan M Kadia
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| |
Collapse
|
9
|
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
| |
Collapse
|
10
|
Wang SY, Cheng WY, Mao YF, Zhu YM, Liu FJ, Ma TT, Shen Y. Genetic alteration patterns and clinical outcomes of elderly and secondary acute myeloid leukemia. Hematol Oncol 2019; 37:456-463. [PMID: 31348835 PMCID: PMC6899678 DOI: 10.1002/hon.2656] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 07/16/2019] [Accepted: 07/20/2019] [Indexed: 12/19/2022]
Abstract
To illustrate the clinical and genetic features of elderly and secondary acute myeloid leukemia (AML) patients, we compared 145 elderly AML (e‐AML) and 55 secondary AML (s‐AML) patients with 451 young de novo AML patients. Both e‐AML and s‐AML patients showed lower white blood cell (WBC) and bone marrow (BM) blasts at diagnosis. NPM1, DNMT3A, and IDH2 mutations were more common while biallelic CEBPA and IDH1 mutations were less seen in e‐AML patients. s‐AML patients carried a higher frequency of KMT2A‐AF9. In treatment response and survival, e/s‐AML conferred a lower complete remission (CR) rate and shorter duration of event‐free survival (EFS) and overall survival (OS) compared with young patients. In multivariate analysis, s‐AML was an independent risk factor for OS but not EFS in the whole cohort. Importantly, intensive therapy tended to improve the survival of e/s‐AML patients without increasing the risk of early death, and hematopoietic stem cell transplantation (HSCT) could rescue the prognosis of s‐AML, which should be recommended for the treatment of fit patients.
Collapse
Affiliation(s)
- Shi-Yang Wang
- Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen-Yan Cheng
- Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan-Fei Mao
- Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yong-Mei Zhu
- Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fu-Jia Liu
- Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting-Ting Ma
- Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang Shen
- Shanghai Institute of Hematology, Department of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|