Incidence of myelosuppression in AML is higher compared with that in ALL
- Authors:
- Published online on: October 18, 2024 https://doi.org/10.3892/mco.2024.2793
- Article Number: 95
-
Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Acute leukemia (AL) is a malignancy of hematopoietic progenitor cells and is characterized by excessive numbers of immature cells in the bone marrow (1,2). AL can be classified into two subtypes, namely acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL). AML is more frequently reported in adults aged >40 years old, whilst ALL occurs mainly in children (3,4). The incidence of AML had been higher compared with that of ALL (5,6). The age-adjusted incidence of AML was 4.3 per 100,000 people per year, whilst that of ALL was 1.7, in the United States (5,6). Although the 5-year overall survival (OS) reached 90% in pediatric patients with ALL, the 5-year OS in patients with ALL (≥50 years) and AML were only 25% and 24%, respectively (6-9). Each subtype of AL can be further subdivided into categories as defined by the French-American-British (FAB) system or the World Health Organization (WHO) system (10-12). Specifically, according to FAB system, AML and ALL is divided into eight (M0-M7) and three (L1-L3) subtypes, respectively (10,11). A commonality of AML and ALL is that the multiplication of immature hematopoietic cells leads to the decreased production of normal hematopoietic cells, resulting in a number of pathological conditions, such as anemia, thrombocytopenia and leukopenia (13). However, AML and ALL have differing pathophysiological processes. Myeloid cells proliferate into their mature end cells within the bone marrow, whereas the lymphoid precursors migrate to the lymphoid organs to complete maturation (1). Therefore, the mechanisms underlying the inhibition of normal hematopoiesis will likely differ between these two subtypes of AL, especially the forms of hypocytosis. In particular, to the best of our knowledge, studies investigating the ability of complete blood count (CBC) parameters to distinguish between patients with AML and ALL remain scarce in the literature. Currently, AML and ALL are distinguished mainly by cytological analysis of a bone marrow puncture, based on different cytological features of lymphoblasts and myeloblasts (11,14,15). Lymphoblasts are characterized by small to large sized blasts, moderately condensed to dispersed chromatin, inconspicuous or prominent nucleoli, scant or moderately abundant cytoplasm with variable basophilia and vacuolation, whilst myeloblasts are characteristically large-sized blasts, fine nuclear chromatin, presence of one or more prominent nucleoli, and varying amounts of cytoplasm with azurophilic granules (11,14,15). Moreover, the presence of ‘Auer rods’ or ‘Phi bodies’ is the myeloblast characteristic (11,14,15). Peripheral blood routine examination is simpler, more convenient and safer than bone marrow puncture. Therefore, the present study was undertaken to compare the CBC results between Chinese patients with AML and those with ALL. In addition, CBC parameters between patients with acute promyelocytic leukemia (APL, also named M3), a unique subtype of AML and those with non-M3 AML, were compared. Subsequently, the influence of factors, such as hemocytopenia, sex and age, on the OS of patient were further analyzed.
Patients and methods
Patients
The patients were selected from the Department of Hematology, Zhongshan Hospital of Xiamen University (Xiamen, China), between January 2015 and May 2019. AL was diagnosed according to the 2016 WHO criteria (12). The diagnostic procedures included cytomorphology, cytogenetics, molecular genetics and immunophenotyping of the bone marrow. Clinical follow-up information was obtained by retrospective review of the electronic charts and telephone follow-up. OS was measured from the date of diagnosis to mortality from any cause or the last follow-up, which was used to compare the clinical outcomes. The follow-up of all patients ended in April 2024.
The inclusion criteria were as follows: i) Newly diagnosed with AL (age, 6-90 years); ii) CBC analysis performed before treatment; and iii) availability of all clinical data. The exclusion criteria were as follows: i) Presence of any type of cancer, hyperthyroidism, hemorrhoids, splenectomy, coagulation disorders, chronic cardiopulmonary diseases, combined immune system diseases, infectious diseases, severe organic lesions, mental illness and severe liver or kidney dysfunction; ii) coronary heart disease controlled by oral drugs for 3 years after percutaneous coronary intervention; iii) long-term anemia before AL; iv) treatment with red blood cell (RBC) or platelet (PLT) transfusion before diagnosis; and v) use of any drug that could affect CBC results, such as corticosteroids, antibiotics and diuretics.
Methods
CBC analysis of EDTA-anticoagulated blood samples was performed. CBC counts [numbers of white blood cells (WBCs), neutrophils, eosinophils, basophils, monocytes, lymphocytes, RBCs, PLTs and hemoglobin levels] were measured using an automated blood cell counter (Sysmex XN-9000; Sysmex Corporation). The following data were obtained and analyzed: Age, sex, leukemia subtype, initial CBC counts, CNS involvement and treatments.
In the present study, leukocytosis was defined as any WBC count >10x109/l (16). Leukopenia was defined as a WBC count of <3.5x109/l (17). Thrombocytopenia was defined as a PLT count of <100x109/l (16). In addition, <110 g/l (for women) and <120 g/l (for men) normal hemoglobin levels were used to define anemia (18).
Statistical analysis
All data analyses were performed using SPSS version 26.0 (IBM Corp.). Data for quantitative variables were reported as medians and (interquartile) ranges, whereas data for qualitative variables were reported as numbers and percentages. A Shapiro-Wilk normality test was performed to check if the data were normally distributed. Between-group comparisons of quantitative data were performed using the Mann-Whitney U test if the data were found to be non-normally distributed, and the unpaired independent-samples t-test for normally distributed data. The χ2 test was used for comparing categorical data. OS curves were drawn by the Kaplan-Meier method and a log-rank test was used to compare OS between the two groups. Univariable Cox proportional hazards models were used to analyze OS-related factors. Among the factors in univariable models, those significant at P≤0.1 were used in a limited backward selection procedure to build multivariable models. P<0.05 was considered to indicate a statistically significant difference.
Results
Baseline characteristics
In the present study, the CBC results of 147 patients with de novo AL were investigated, which included 105 patients with AML and 42 patients with ALL. AML patients was predominant (71.4%) over the ALL patients (28.6%). The median age in patients with ALL (38 years) was lower compared with that of AML patients (54 years). The similar sex ratio was observed in patients with AML and ALL. The AML subgroups included 24 (22.8%) cases of M3, 70 (66.7%) patients with non-M3, and 11 (10.5%) patients with unknown type. Among patients with ALL, there were 35 cases of B-ALL (83.3%), 5 cases of T-ALL (11.9%) and 2 cases of unknown cell type (4.8%). In addition, only 1 patient with ALL at diagnosis suffered from central nervous system (CNS) metastasis. The main clinical characteristics of AL patients are described in Table SI.
CBC results analysis
The results of CBC analysis for patients with AL are presented in Table I. Patients with ALL were found to have significantly higher lymphocyte (P=0.021) and RBC counts (P=0.001) compared with those in patients with AML (Table I). P<0.05 were obtained in both eosinophil count (P=0.022) and eosinophil percentage (P=0.035) between the AML group and the ALL group, however, the same the median value of eosinophil count and eosinophil percentage was observed in the two groups (Table I). In addition, the mean corpuscular volume and mean corpuscular hemoglobin values were significantly increased in AML patients compared with those in patients with ALL (both P<0.001; Table I).
Different forms of hypocytosis analysis
The frequencies of different forms of hypocytosis were next compared between the AML group and the ALL group (Table II). The percentage of patients with leukopenia (WBC count <3.5x109/l) was found to be significantly higher in the AML group compared with that in the ALL group (P=0.015). In addition, the percentage of patients with both leukopenia and anemia was significantly higher in the AML group compared with that in the ALL group (P=0.016). Similarly, the percentage of patients with both leukopenia and thrombocytopenia was significantly higher in the AML group compared with that in the ALL group (P=0.015). Statistically significant rates of pancytopenia were observed in the AML and ALL groups (P=0.019), with the higher percentage of patients with pancytopenia in the AML group.
Table IIComparison of frequencies of different forms of hypocytosis between patients with AML and ALL. |
CBC results analysis in patients with and without M3 AML
Subsequently, the CBC results of patients with de novo AML (n=94) were investigated further, including 24 patients with M3 AML and 70 patients with non-M3 AML (Tables SII and SIII). Patients with M3 AML had a lower median age (47 vs. 55 years), compared with that in patients with non-M3 AML. The same gender ratio was observed in patients with and without M3 AML. Notably, WBC count was found to be significantly lower in the M3 group compared with that in the non-M3 group (P=0.003). Both the neutrophil count (P=0.020) and lymphocyte count (P<0.001) were also observed to be significantly lower in the M3 group compared with those in the non-M3 AML group. In addition, the platelet count was lower in the M3 group compared with that in the non-M3 AML group (P=0.031).
Hypocytosis in patients with and without M3 AML
The frequencies of different forms of hypocytosis were also compared between patients with M3 and non-M3 AML (Table SIV). The percentage of patients with leukopenia was found to be significantly higher in the M3 AML group compared with that in the non-M3 AML group (P=0.007). Conversely, the percentage of patients with leukocytosis was significantly higher in the non-M3 AML group compared with that in the M3 AML group (P=0.034). Furthermore, the percentage of patients with both leukopenia and anemia was significantly higher in the M3 AML group compared with that in the non-M3 AML group (P=0.033).
OS analysis
To further understand the influence of various factors, such as hemocytopenia, on the prognosis of patients, their OS was next analyzed. Notably, 84.4% (n=124, including 91 patients with AML and 33 patients with ALL) of patients with AL received chemotherapy treatments, whilst 15.6% (n=23, including 14 patients with AML and 9 patients with ALL) received supportive care (Table SI). In particular, patients with non-M3 AML received fludarabine, cytarabine and mitoxantrone, the standard ‘3 + 7’ regimens or the reduced ‘3 + 7’-based regimens (19,20). By contrast, patients with M3 AML received treatment regimens containing all-trans retinoic acid (ATRA) + anthracyclines or arsenic trioxide (ATO) + ATRA (21-23). Patients with ALL received corticosteroids alone or in combination with another drug (such as vincristine or cyclophosphamide) (24). Of all patients, 10.9% underwent hematopoietic stem cell transplantation, including 7 patients with AML and 9 patients with ALL (Table SI).
In patients with AL, the median survival was 30 months and 5-year OS was 25.2% (patients with AML: Median survival, 24 months; 5-year survival, 26.7%; ALL patients: Median survival, 33 months; 5-year survival, 21.4%). Among patients with AML, the 5-year survival rates for patients with M3 and non-M3 AML were 50.0% and 18.6%, respectively.
The two common prognostic factors associated with shorter survival in patients with AL (Table III), with AML (Table IV) and non-M3 AML (Table V) were found to be age >60 years and WBC count >10x109/l. However, OS did not significantly differ between patients with AML and ALL (Fig. 1 and Table III). Among patients with AML, the median OS of patients with M3 AML were not achieved, whilst those with non-M3 AML were 18 months. Patients with M3 AML had significantly longer OS compared with those with non-M3 AML (P<0.05; Fig. 2 and Table IV). For patients with ALL, the prognostic factors for survival duration were age and hemoglobin level (Table VI). In addition, patients with ALL aged <60 years and anemia were found to be associated with a favorable outcome (for age ≥60 years: HR, 2.715; 95% CI, 1.069-6.894; P=0.036; for anemia: HR, 0.185; 95% CI, 0.046-0.747; P=0.018).
Table IIIUnivariate and multivariable analyses of variables predicting overall survival in the patients with acute leukemia. |
Table IVUnivariate and multivariable analyses of variables predicting overall survival in patients with AML. |
Table VUnivariate and multivariable analyses of variables predicting overall survival in patients with non-M3 acute myeloid leukemia. |
Table VIUnivariate and multivariable analyses of variables predicting overall survival in patients with acute lymphocytic leukemia. |
Discussion
AML is a leukemia subtype that targets the myeloid lineage, whereas ALL occurs when immature lymphoblasts amplify in the bone marrow and inhibit the generation of normal blood cells (25). Regardless of the AL subtype, the immature leukemic cells invade the bone marrow where normal hematopoietic cells are produced, leading to the decreased production of healthy cells in the bone marrow, resulting in decrease of normal mature blood cells in the peripheral blood (13). Therefore, the frequent presentation involves peripheral blood and results in hypocytosis, such as anemia, leukopenia and thrombocytopenia (13). Results from the present study showed that normocytic normochromic anemia and thrombocytopenia are frequent occurrences in both AML and ALL. These findings are consistent with those from Schumacher et al (26), which reported that in AML, anemia (normocytic normochromic anemia is the grand majority of cases) occurrence is common whereas thrombocytopenia is also common. In addition, this previous study (26) also reported that in ALL, normocytic normochromic anemia is commonly present and thrombocytopenia is generally severe. However, the difference between AML and ALL in terms of hypocytosis could not be derived from Schumacher et al (26) and other previous reports (1,27-30). In order to solve this issue, the present study performed CBC results analysis between patients with AML and ALL.
ALL patients were found to have significantly higher lymphocyte and RBC counts compared with those in patients with AML in the present study. In addition, the percentage of patients with hypocytosis (including only leukopenia, both leukopenia and anemia, both leukopenia and thrombocytopenia, and pancytopenia) was significantly higher in the AML group compared with that in the ALL group. These data suggest that normal hematopoiesis is more frequently inhibited in AML compared with that in ALL. Therefore, patients with AL with peripheral blood findings of leukopenia, pancytopenia, or both leukopenia and anemia or both leukopenia and thrombocytopenia are likely to have AML. Clinically, patients with AML are more likely to require blood transfusion compared with patients with ALL.
The mechanisms underlying the higher incidence of myelosuppression in AML compared with ALL require further study. However, this difference may be due to different expression of a number of critical regulators of hematopoiesis between AML and ALL. In particular, GATA-1 factor, which is a hematopoietic transcription factor, is required for the proliferation and survival of erythroid precursors and mature cells (31), where it also serves a role in megakaryocytic differentiation (32). Ayala et al (33) previously identified GATA-1 expression in 43.9% patients with AML and 66.7% ALL patients, indicating markedly different expression profile between the two diseases. Similarly, the expression of erythroid Krüppel-like factor (EKLF), which is involved in erythroid proliferation and hemoglobinization (34), was noted in 39% patients with AML and 50% patients with ALL (33). These findings indicate that the higher expression of GATA-1 and EKLF in ALL may be associated with a lower probability of myelosuppression.
Consistent with previous studies (35-38), the present findings showed that age <60 years and WBC count <10x109/l were prognostic factors for longer survival in patients with AML or patients with non-M3 AML, but leukopenia at the time of diagnosis was not associated with the prognosis in AML. Creutzig et al (35) previously reported that a WBC count of <2x109/l was associated with a superior prognosis. Although cut-offs for WBC were set, with counts of <2x109/l indicating leukopenia, no association between leukopenia and OS was observed in the present study. Patients with M3 AML had significantly longer OS compared with those with non-M3 AML, which is consistent with previous studies (39,40). Sasaki et al (39) previously reported that after the introduction of ATRA and ATO in the 1990s, the 5-year survival increased from 20% during the 1980-1989 period to 75% during the 2010-2017 period in patients with M3 AML. However, the 5-year survival rate only increased from 9 to 21% during the same period in patients with non-M3 AML (39). Older age and high WBC counts have been frequently considered to be viable predictors of poor outcome in ALL (41). In the present study, for patients with ALL, the prognostic factors for survival duration were found to be age and hemoglobin level. A WBC count of >10x109/l was not associated with an unfavorable outcome in patients with ALL. This result may be due to the small sample size. In addition, the present findings are not consistent with that of previous study, which reported no association between hemoglobin levels and OS in patients with ALL (42). However, other reports found that the lower hemoglobin levels are associated with a superior outcome in patients with ALL (43,44).
There are some limitations in the present study. Firstly, it was a retrospective study and the data was derived from a single center. Furthermore, only one patient with ALL at diagnosis suffered from CNS metastasis in the present study. Therefore, a comparative analysis of CNS metastasis incidence between patients with AML and ALL could not be performed.
In conclusion, data from the present study suggest that normal hematopoiesis is more frequently inhibited in patients with AML compared with that in patients with ALL. Similarly, amongst patients with AML, the incidence of myelosuppression is higher in patients with M3 AML compared with non-M3 AML patients. To the best of our knowledge, the present study was the first to offer a peripheral blood feature set for distinguishing AML and ALL, where patients with AL with peripheral blood findings indicative of leukopenia, pancytopenia, or both leukopenia and anemia or both leukopenia and thrombocytopenia are likely to have AML. Nevertheless, this finding needs to be confirmed by studies with a larger cohort in the future. In addition, further research is needed to elucidate the potential mechanisms. It is hoped that these findings can provide clinicians with future research ideas for assessing the difference between AML and ALL, leading to more accurate diagnoses.
Supplementary Material
Characteristics of patients with AL according to the type of leukemia.
Characteristics of patients with M3 and non-M3 AML.
Results of complete blood count analysis of patients with M3 and non-M3 AML.
Comparison of frequencies of different forms of hypocytosis between patients with M3 and non-M3 AML.
Acknowledgements
Not applicable.
Funding
Funding: The present study was supported by Natural Science Foundation of Xiamen, China (grant no. 3502Z202372058), the Middle-aged and Young Teachers Foundation of Fujian Educational Committee in China (grant no. JAT220407) and the Research Project of Xiamen Medical College in China (grant no. K2023-39).
Availability of data and materials
The data generated in the present study may be requested from the corresponding author.
Authors' contributions
WC and JH designed the project. HW collected clinical data. WC and JH analyzed the data obtained in the present study and generated the tables. WC wrote the manuscript. All the authors have read and approved the final manuscript. WC and HW confirm the authenticity of all the raw data.
Ethics approval and consent to participate
The present study was approved by the Medical Ethics Committees of Zhongshan Hospital of Xiamen University, Xiamen, China (approval no. xmzsyyky2021151) and was conducted in accordance with the guidelines of the institution. The need for informed consent was waived due to the retrospective nature of the study.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Rose-Inman H and Kuehl D: Acute leukemia. Emerg Med Clin North Am. 32:579–596. 2014.PubMed/NCBI View Article : Google Scholar | |
Terwilliger T and Abdul-Hay M: Acute lymphoblastic leukemia: A comprehensive review and 2017 update. Blood Cancer J. 7(e577)2017.PubMed/NCBI View Article : Google Scholar | |
Daver NG, Iqbal S, Renard C, Chan RJ, Hasegawa K, Hu H, Tse P, Yan J, Zoratti MJ, Xie F and Ramsingh G: Treatment outcomes for newly diagnosed, treatment-naïve TP53-mutated acute myeloid leukemia: A systematic review and meta-analysis. J Hematol Oncol. 16(19)2023.PubMed/NCBI View Article : Google Scholar | |
Malard F and Mohty M: Acute lymphoblastic leukaemia. Lancet. 395:1146–1162. 2020.PubMed/NCBI View Article : Google Scholar | |
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019.PubMed/NCBI View Article : Google Scholar | |
Shallis RM, Wang R, Davidoff A, Ma X and Zeidan AM: Epidemiology of acute myeloid leukemia: Recent progress and enduring challenges. Blood Rev. 36:70–87. 2019.PubMed/NCBI View Article : Google Scholar | |
Pulte D, Gondos A and Brenner H: Improvement in survival in younger patients with acute lymphoblastic leukemia from the 1980s to the early 21st century. Blood. 113:1408–1411. 2009.PubMed/NCBI View Article : Google Scholar | |
Pulte D, Jansen L, Gondos A, Katalinic A, Barnes B, Ressing M, Holleczek B, Eberle A and Brenner H: GEKID Cancer Survival Working Group. Survival of adults with acute lymphoblastic leukemia in Germany and the United States. PLoS One. 9(e85554)2014.PubMed/NCBI View Article : Google Scholar | |
Hunger SP, Lu X, Devidas M, Camitta BM, Gaynon PS, Winick NJ, Reaman GH and Carroll WL: Improved survival for children and adolescents with acute lymphoblastic leukemia between 1990 and 2005: A report from the children's oncology group. J Clin Oncol. 30:1663–1669. 2012.PubMed/NCBI View Article : Google Scholar | |
Suguna E, Farhana R, Kanimozhi E, Kumar PS, Kumaramanickavel G and Kumar CS: Acute myeloid leukemia: Diagnosis and management based on current molecular genetics approach. Cardiovasc Hematol Disord Drug Targets. 18:199–207. 2018.PubMed/NCBI View Article : Google Scholar | |
Bennett JM, Catovsky D, Daniel MT, Flandrin G, Galton DA, Gralnick HR and Sultan C: Proposals for the classification of the acute leukaemias. French-American-British (FAB) co-operative group. Br J Haematol. 33:451–458. 1976.PubMed/NCBI View Article : Google Scholar | |
Arber DA, Orazi A, Hasserjian R, Thiele J, Borowitz MJ, Le Beau MM, Bloomfield CD, Cazzola M and Vardiman JW: The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 127:2391–2405. 2016.PubMed/NCBI View Article : Google Scholar | |
Blackburn LM, Bender S and Brown S: Acute leukemia: Diagnosis and treatment. Semin Oncol Nurs. 35(150950)2019.PubMed/NCBI View Article : Google Scholar | |
Sekar MD, Raj M and Manivannan P: Role of morphology in the diagnosis of acute leukemias: Systematic review. Indian J Med Paediatr Oncol. 44:464–473. 2023. | |
Ladines-Castro W, Barragán-Ibañez G, Luna-Pérez MA, Santoyo-Sánchez A, Collazo-Jaloma J, Mendoza-García E and Ramos-Peñafiel CO: Morphology of leukaemias. Rev Méd Hosp Gen Méx. 79:107–113. 2016. | |
Haznedaroğlu İC, Kuzu I and İlhan O: WHO 2016 definition of chronic myeloid leukemia and tyrosine kinase inhibitors. Turk J Haematol. 37:42–47. 2020.PubMed/NCBI View Article : Google Scholar | |
Shi M, Qin Y, Chen S, Wei W, Meng S, Chen X, Li J, Li Y, Chen R, Su J, et al: Characteristics and risk factors for readmission in HIV-infected patients with Talaromyces marneffei infection. PLoS Negl Trop Dis. 17(e0011622)2023.PubMed/NCBI View Article : Google Scholar | |
Liu CA, Zhang Q, Ruan GT, Shen LY, Xie HL, Liu T, Tang M, Zhang X, Yang M, Hu CL, et al: Novel diagnostic and prognostic tools for lung cancer cachexia: Based on nutritional and inflammatory status. Front Oncol. 12(890745)2022.PubMed/NCBI View Article : Google Scholar | |
Ma TT, Lin XJ, Cheng WY, Xue Q, Wang SY, Liu FJ, Yan H, Zhu YM and Shen Y: Development and validation of a prognostic model for adult patients with acute myeloid leukaemia. EBioMedicine. 62(103126)2020.PubMed/NCBI View Article : Google Scholar | |
Koller CA, Kantarjian HM, Feldman EJ, O'Brien S, Rios MB, Estey E and Keating M: A phase I-II trial of escalating doses of mitoxantrone with fixed doses of cytarabine plus fludarabine as salvage therapy for patients with acute leukemia and the blastic phase of chronic myelogenous leukemia. Cancer. 86:2246–2251. 1999.PubMed/NCBI View Article : Google Scholar | |
Lo-Coco F, Avvisati G, Vignetti M, Thiede C, Orlando SM, Iacobelli S, Ferrara F, Fazi P, Cicconi L, Di Bona E, et al: Retinoic acid and arsenic trioxide for acute promyelocytic leukemia. N Engl J Med. 369:111–121. 2013.PubMed/NCBI View Article : Google Scholar | |
Rego EM, Kim HT, Ruiz-Argüelles GJ, Undurraga MS, Uriarte Mdel R, Jacomo RH, Gutiérrez-Aguirre H, Melo RA, Bittencourt R, Pasquini R, et al: Improving acute promyelocytic leukemia (APL) outcome in developing countries through networking, results of the international consortium on APL. Blood. 121:1935–1943. 2013.PubMed/NCBI View Article : Google Scholar | |
Dayama A, Dass J, Seth T, Mahapatra M, Mishra PC and Saxena R: Clinico-hematological profile and outcome of acute promyelocytic leukemia patients at a tertiary care center in North India. Indian J Cancer. 52:309–312. 2015.PubMed/NCBI View Article : Google Scholar | |
Hoelzer D, Bassan R, Dombret H, Fielding A, Ribera JM and Buske C: ESMO Guidelines Committee. Acute lymphoblastic leukaemia in adult patients: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 27 (Suppl 5):v69–v82. 2016.PubMed/NCBI View Article : Google Scholar | |
Pui CH, Robison LL and Look AT: Acute lymphoblastic leukaemia. Lancet. 371:1030–1043. 2008.PubMed/NCBI View Article : Google Scholar | |
Schumacher HR, Alvares CJ, Blough RI and Mazzella F: Acute leukemia. Clin Lab Med. 22:153–192. 2002.PubMed/NCBI View Article : Google Scholar | |
Cornell RF and Palmer J: Adult acute leukemia. Dis Mon. 58:219–238. 2012.PubMed/NCBI View Article : Google Scholar | |
Cripe LD: Adult acute leukemia. Curr Probl Cancer. 21:1–64. 1997.PubMed/NCBI View Article : Google Scholar | |
Meenaghan T, Dowling M and Kelly M: Acute leukaemia: Making sense of a complex blood cancer. Br J Nurs. 21:76. 78–83. 2012.PubMed/NCBI View Article : Google Scholar | |
Gralnick HR, Galton DAG, Catovsky D, Sultan C and Bennett JM: Classification of acute leukemia. Ann Intern Med. 87:740–753. 1977. | |
Weiss MJ and Orkin SH: Transcription factor GATA-1 permits survival and maturation of erythroid precursors by preventing apoptosis. Proc Natl Acad Sci USA. 92:9623–9627. 1995.PubMed/NCBI View Article : Google Scholar | |
McDevitt MA, Fujiwara Y, Shivdasani RA and Orkin SH: An upstream, DNase I hypersensitive region of the hematopoietic-expressed transcription factor GATA-1 gene confers developmental specificity in transgenic mice. Proc Natl Acad Sci USA. 94:7976–7981. 1997.PubMed/NCBI View Article : Google Scholar | |
Ayala RM, Martínez-López J, Albízua E, Diez A and Gilsanz F: Clinical significance of Gata-1, Gata-2, EKLF, asnd c-MPL expression in acute myeloid leukemia. Am J Hematol. 84:79–86. 2009.PubMed/NCBI View Article : Google Scholar | |
Perkins AC, Sharpe AH and Orkin SH: Lethal beta-thalassaemia in mice lacking the erythroid CACCC-transcription factor EKLF. Nature. 375:318–322. 1995.PubMed/NCBI View Article : Google Scholar | |
Creutzig U, Zimmermann M, Ritter J, Henze G, Graf N, Löffler H and Schellong G: Definition of a standard-risk group in children with AML. Br J Haematol. 104:630–639. 1999.PubMed/NCBI View Article : Google Scholar | |
Redaelli A, Lee JM, Stephens JM and Pashos CL: Epidemiology and clinical burden of acute myeloid leukemia. Expert Rev Anticancer Ther. 3:695–710. 2003.PubMed/NCBI View Article : Google Scholar | |
Ganzel C and Rowe JM: Prognostic factors in adult acute leukemia. Hematol Oncol Clin North Am. 25:1163–1187. 2011.PubMed/NCBI View Article : Google Scholar | |
Arellano M, Bernal-Mizrachi L, Pan L, Tighiouart M, Souza L, Guo X, McLemore M, Lima L, Sunay S, Heffner LT, et al: Prognostic significance of leukopenia at the time of diagnosis in acute myeloid leukemia. Clin Lymphoma Myeloma Leuk. 11:427–432. 2011.PubMed/NCBI View Article : Google Scholar | |
Sasaki K, Ravandi F, Kadia TM, DiNardo CD, Short NJ, Borthakur G, Jabbour E and Kantarjian HM: De novo acute myeloid leukemia: A population-based study of outcome in the United States based on the surveillance, epidemiology, and end results (SEER) database, 1980 to 2017. Cancer. 127:2049–2061. 2021.PubMed/NCBI View Article : Google Scholar | |
Hu J, Liu YF, Wu CF, Xu F, Shen ZX, Zhu YM, Li JM, Tang W, Zhao WL, Wu W, et al: Long-term efficacy and safety of all-trans retinoic acid/arsenic trioxide-based therapy in newly diagnosed acute promyelocytic leukemia. Proc Natl Acad Sci USA. 106:3342–3347. 2009.PubMed/NCBI View Article : Google Scholar | |
Bassan R and Hoelzer D: Modern therapy of acute lymphoblastic leukemia. J Clin Oncol. 29:532–543. 2011.PubMed/NCBI View Article : Google Scholar | |
Baccarani M, Corbelli G, Amadori S, Drenthe-Schonk A, Willemze R, Meloni G, Cardozo PL, Haanen C, Mandelli F and Tura S: Adolescent and adult acute lymphoblastic leukemia: Prognostic features and outcome of therapy. A study of 293 patients. Blood. 60:677–684. 1982.PubMed/NCBI | |
Ng SM, Lin HP, Ariffin WA, Zainab AK, Lam SK and Chan LL: Age, sex, haemoglobin level, and white cell count at diagnosis are important prognostic factors in children with acute lymphoblastic leukemia treated with BFM-type protocol. J Trop Pediatr. 46:338–343. 2000.PubMed/NCBI View Article : Google Scholar | |
Settin A, Al Haggar M, Al Dosoky T, Al Baz R, Abdelrazik N, Fouda M, Aref S and Al-Tonbary Y: Prognostic cytogenetic markers in childhood acute lymphoblastic leukemia. Indian J Pediatr. 74:255–263. 2007.PubMed/NCBI View Article : Google Scholar |