Literature DB >> 30623623

Reclassification of Acute Myeloid Leukemia According to the 2016 WHO Classification.

Jin Jung1, Byung Sik Cho2,3, Hee Je Kim2,3, Eunhee Han1,4, Woori Jang1,4, Kyungja Han1, Jae Wook Lee5, Nack Gyun Chung5, Bin Cho5, Myungshin Kim1,6, Yonggoo Kim1,7.   

Abstract

We reviewed our leukemia database to reclassify 610 patients previously diagnosed as having acute myeloid leukemia (AML) according to the updated 2016 WHO classification. Nine patients were categorized as having myelodysplastic syndrome and myeloid neoplasms with germline predisposition. AML with recurrent genetic abnormalities accounted for 57.4% (345/601) of the patients under the 2016 WHO classification. AML with mutated NPM1 was the most common form (16.5%), with the majority associated with monocytic differentiation (63.6%). AML with double CEBPA mutations accounted for 8.3% of these cases, and the majority were previously diagnosed as AML with/without maturation (78.0%). These newly classified mutations were mutually exclusive without overlapping with other forms of AML with recurrent genetic abnormalities. AML with mutated NPM1 and AML with myelodysplasia-related changes comprised the oldest patients, whereas AML with RUNX1-RUNX1T1 included the youngest patients. The leukocyte count was highest in AML with mutated NPM1, and the percentage of peripheral blood blasts was the highest in AML with double CEBPA mutations. Our results indicate that implementation of the 2016 WHO classification of AML would not pose major difficulties in clinical practice. Hematopathologists should review and prepare genetic tests for the new classification, according to their clinical laboratory conditions. © The Korean Society for Laboratory Medicine.

Entities:  

Keywords:  2016 WHO classification; Acute myeloid leukemia; CEBPA; NPM1

Mesh:

Substances:

Year:  2019        PMID: 30623623      PMCID: PMC6340847          DOI: 10.3343/alm.2019.39.3.311

Source DB:  PubMed          Journal:  Ann Lab Med        ISSN: 2234-3806            Impact factor:   3.464


The diagnosis of acute myeloid leukemia (AML) has evolved over the past 15 years into a disease characterization technique that is largely based on cytogenetic and molecular analysis. over the past 15 years into a disease characterization technique that is largely based on cytogenetic and molecular analysis. Since the WHO classification was first proposed, it has been established as a formal tool for the diagnosis of hematologic malignancies [1]. The 2016 WHO classification incorporated new information that has emerged since the previous 2008 WHO classification, including acceptance of previous provisional entities such as AML with mutated NPM1 and AML with double CEBPA mutations as definite ones [2]. However, this classification system must be contemporary and match with the rate of accumulating evidence; thus, there has been pressure to revise the AML classification after a certain period by collecting data and assessing their relevance. From a diagnostic perspective, application of the new criteria should be preceded by an understanding of the expected changes, accompanied by a revised classification. We reclassified our AML database that was created according to the 2008 WHO classification, and estimated the changes in data distribution and position on application of the 2016 WHO classification. Particularly, we focused on the newly introduced mutations, including NPM1 and CEBPA. We reviewed 610 patients who were diagnosed as having AML and were treated at Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea between January 2014 and June 2017. This study was approved by the Institutional Review Board (IRB) of St. Mary's Hospital affiliated with The Catholic University of Korea (IRB No: KC18RESI0227). Patient characteristics according to the 2016 WHO classification are summarized in Supplemental Data Table S1. The patients included 335 males and 275 females with a median age of 50 years (range, 1–88 years). Patient bone marrow aspirates and biopsy samples were reviewed independently by three hematopathologists. The patients' medical records, including history of chemotherapy, were reviewed. Cytogenetic abnormalities were classified according to the 2016 International System for Human Cytogenetic Nomenclature guidelines [3]. Multiplex reverse transcriptase-PCR was performed to detect the presence of RUNX1/RUNX1T1, CBFB/MYH11, PML/RARA, MLLT3/KMT2A, DEK/NUP213, and BCR/ABL1 using a HemaVision kit (Bio-Rad Laboratories, Hercules, CA, USA). Mutations in the CEBPA and NPM1 genes were analyzed by bidirectional Sanger sequencing using primers designed through Primer3 (http://bioinfo.ut.ee/primer3/) and described based on reference to GenBank sequences (CEBPA, NM_004364.4; NPM1, NM_002520.6). Seven (1.1%) patients were categorized as having myelodysplastic syndrome (MDS) with excess blasts, because the definition of myeloid neoplasms with erythroid predominance was modified by shifting the main criteria for calculating blast percentage from non-erythroid cells to all nucleated marrow cells. Two patients were classified as having myeloid neoplasms with germline predisposition because they harbored a germline CEBPA mutation. AML with recurrent genetic abnormalities accounted for 57.4% (345/601) based on the 2016 WHO classification. AML with mutated NPM1 was the most common form, followed by AML with RUNX1-RUNX1T1, AML with double CEBPA mutations, and AML with CBFB-MYH11 (5.3%, N=32) (Fig. 1). Among AML with myelodysplasia-related changes (MRC) patients, seven (8.6%) had a history of MDS or myelodysplastic/myeloproliferative neoplasm, and 40 (49.4%) had MDS-related cytogenetic abnormalities. Because del(9q) was removed as a defining cytogenetic abnormality for AML-MRC, 10 patients with del(9q) were removed from the AML-MRC group; six of these patients were moved to AML with double CEBPA mutations and one diagnosis was changed to AML with mutated NPM1, while the others were reclassified as AML, not otherwise specified (NOS) (Table 1).
Fig. 1

Distribution of subtypes in AML patients classified according to 2016 WHO classification.

Abbreviations: AML, acute myeloid leukemia; N, number of patients (%); dm, double mutation; MRC, AML with myelodysplasia-related changes; M0, AML with minimal differentiation; M1, AML without maturation; M2, AML with maturation; M4, acute myelomonocytic leukemia; M5, acute monoblastic and monocytic leukemia; APMF, acute panmyelosis with myelofibrosis; TAM, transient abnormal myelopoiesis associated with Down syndrome; TRMN, therapy-related myeloid neoplasms.

Table 1

Comparison of the distribution of AML patients based on the 2008 and 2016 WHO classifications

2016 WHORUNX1-RUNX1T1PML-RARACBFB-MYH11Mutated NPM1CEBPA dminv(3)DEK-NUP214MLLT3-KMT2ARBM15-MKL1MRCM0M1M2M4M5M7APMFTAMTRMNTotal
2008 WHORUNX1-RUNX1T9595
PML-RARA4040
CBFB-MYH113232
RPN1-EVI166
DEK-NUP21433
MLLT3-MLL1717
RBM15-MKL133
MRC14880111106
M01717
M15185477
M214215489
M43723372
M526834
M6A11
M6B1113
M722
APMF123
TAM11
TRMN11
Total954032995063173811755553482211601

Abbreviations: AML, acute myeloid leukemia; dm, double mutation; MRC, AML with myelodysplasia-related changes; M0, AML with minimal differentiation; M1, AML without maturation; M2, AML with maturation; M4, acute myelomonocytic leukemia; M5, acute monoblastic and monocytic leukemia; M6A, erythroleukemia; M6B, pure erythroid leukemia; APMF, acute panmyelosis with myelofibrosis; TAM, transient abnormal myelopoiesis associated with Down syndrome; TRMN, therapy-related myeloid neoplasms.

We investigated differences in hematologic variables according to the 2016 WHO classification using a one-way analysis of variance followed by the Bonferroni post hoc test. We used SPSS 12.0.1 for Windows (SPSS Inc., Chicago, IL, USA) and considerd P≤0.05 (two-sided) statistically significant. Patient age was the highest in the groups AML with mutated NPM1 and AML-MRC, but lowest in the group AML with RUNX1-RUNX1T1 (P<0.001). Leukocyte count was higher in AML with mutated NPM1 than in AML with RUNX1-RUNX1T1 and AML with PML-RARA (P=0.005). The blast percentage in peripheral blood was the highest in AML with double CEBPA mutations, which was greater than that in AML with RUNX1-RUNX1T1 or PML-RARA (P<0.001). However, there was no significant difference in the Hb or platelet count (Supplemental Data Fig. S1). The 2016 WHO classification newly defined NPM1 and double CEBPA mutations for diagnostic classification. Therefore, we evaluated the previous diagnoses of these two new classifications. AML with mutated NPM1 was the most common form of AML in our database (N=99, 16.5%). It was notable that all the patients in this group were over 18 years old. The majority of the patients in the AML with mutated NPM1 group had previously been diagnosed as having AML-NOS, including acute myelomonocytic leukemia (N=37), acute monoblastic/monocytic leukemia (N=26), AML with maturation (N=14), AML without maturation (N=5), acute erythroid leukemia (N=2), and acute panmyelosis with myelofibrosis (N=1), according to the 2008 WHO classification. Others (N=14) had been diagnosed as having AML-MRC showing only dyspoiesis without MDS-related cytogenetic abnormalities. The association of monocytic differentiation and NPM1 mutation was consistent with previous results [45]. NPM1 mutation in exon 12 was the most frequently detected mutation in cytogenetically normal AML patients. This is supported by our observation that 93 (93.9%) patients diagnosed as having AML with mutated NPM1 showed a normal karyotype. Five of the six patients with an abnormal karyotype showed mosaicism with a normal karyotype, which can be explained as an acquired secondary event [6]. The characteristics of NPM1 mutation (N=102) are summarized in Supplemental Data Fig. S2: type A mutation was predominant, followed by type B, type D, and type I, whereas type C, type J, type N, type R, and four individual mutations (c.863_864insTAAA, c.863_864insTTTG, c.864_876delinsCCAAGATCTCTGGCATT, c.869_873delinsCCTTGGCTC) were detected in one patient each. There were 77 (12.8%) patients with CEBPA mutations in our database, including 46 (59.7%) with double CEBPA mutations. Four of these patients (5.2%) had one homozygous mutation, two patients had three mutations, and the other 25 (32.5%) had a monoallelic mutation. Thus, AML with double CEBPA mutations accounted for 8.3% of all forms of AML in the database. Previous classifications of AML-NOS (N=50), including AML with maturation (N=21), AML without maturation (N=18), acute myelomonocytic leukemia (N=2), acute erythroid leukemia (N=1), and AML-MRC (N=8) were reclassified as AML with double CEBPA mutations according to the 2016 WHO classification. Thirty-eight (76.0%) of these 50 patients had a normal karyotype, and six patients with del(9q) were also classified in this group, which is recognized as a cytogenetic abnormality for AML-MRC according to the 2008 WHO classification. Previous studies demonstrated that the majority of patients with del(9q) were diagnosed as having AML with or without maturation and a normal karyotype [78]. In addition, these patients tended to have an earlier age of onset, higher Hb levels, and lower platelet counts than patients with other AML classifications, although the differences were not statistically significant [9]. Moreover, patients with double CEBPA mutations were reported to show a homogeneous gene expression profile and a favorable clinical outcome [1011]. Interestingly, the two new classifications of NPM1 and double CEBPA mutations were mutually exclusive without overlapping with any other form of AML with recurrent genetic abnormalities (Table 2). There were five patients with NPM1 mutations (N=3) or double CEBPA mutations (N=2) who were classified as having AML-MRC because of the diagnostic precedence of MDS-related cytogenetic abnormalities. AML with mutated NPM1 became the most common AML in the 2016 WHO classification. Although approximately 80% of NPM1 mutations identified were type A, other types cannot be ignored.
Table 2

Distribution of NPM1 and CEBPA mutations in 2016 WHO classified AML patients

2016 WHO classificationNPM1 (+)NPM1 (−)Total
CEBPA dmCEBPA smCEBPA (−)CEBPA dmCEBPA smCEBPA (−)
RUNX1-RUNX1T19595
PML-RARA4040
CBFB-MYH113232
mutated NPM169399
CEBPA dm5050
inv(3)66
DEK-NUP21433
MLLT3-KMT2A1717
RBM15-MKL133
MRC3267081
M01717
M155055
M255055
M413334
M5178
M722
APMF112
TAM11
TRMN11
Total06965219428601

Abbreviations: AML, acute myeloid leukemia; MRC, AML with myelodysplasia-related changes; M0, AML with minimal differentiation; M1, AML without maturation; M2, AML with maturation; M4, acute myelomonocytic leukemia; M5, acute monoblastic and monocytic leukemia; APMF, acute panmyelosis with myelofibrosis; TAM, transient abnormal myelopoiesis associated with Down syndrome; TRMN, therapy-related myeloid neoplasms; (+), mutation detected; dm, deouble mutation; sm, single mutation; (−), no mutation.

Next-generation sequencing (NGS) has recently replaced Sanger sequencing as the main method to identify common and significant mutations simultaneously, with excellent detection power [12]. The other newly included classification, AML with double CEBPA mutations, was the third most frequent form of AML with recurrent genetic abnormalities. Detection of CEBPA mutation is hampered mainly by the high GC content of this gene. Although more efficient and sensitive techniques such as NGS are emerging to address this challenge, Sanger sequencing still plays an important role in clinical CEBPA testing [13]. In summary, we found that implementation of the updated 2016 WHO classification of AML would not pose major difficulties in clinical practice and could help reduce the rate of ambiguous diagnoses for a more accurate prognosis. Hematopathologists should review and prepare genetic tests that are essential for the new classification, according to their clinical laboratory conditions. Future studies incorporating prognosis in the 2016 WHO classification would help provide baseline data for upgrading the classification to achieve better risk stratification and patient-oriented therapeutic strategies.
  12 in total

1.  Mutant nucleophosmin (NPM1) predicts favorable prognosis in younger adults with acute myeloid leukemia and normal cytogenetics: interaction with other gene mutations.

Authors:  Konstanze Döhner; Richard F Schlenk; Marianne Habdank; Claudia Scholl; Frank G Rücker; Andrea Corbacioglu; Lars Bullinger; Stefan Fröhling; Hartmut Döhner
Journal:  Blood       Date:  2005-07-28       Impact factor: 22.113

2.  Characterization of CEBPA mutations in acute myeloid leukemia: most patients with CEBPA mutations have biallelic mutations and show a distinct immunophenotype of the leukemic cells.

Authors:  Liang-In Lin; Chien-Yuan Chen; Dong-Tsamn Lin; Woei Tsay; Jih-Luh Tang; You-Chia Yeh; Hwei-Ling Shen; Fang-Hsien Su; Ming Yao; Sheng-Yi Huang; Hwei-Fang Tien
Journal:  Clin Cancer Res       Date:  2005-02-15       Impact factor: 12.531

Review 3.  Acute myeloid leukemia with mutated NPM1: diagnosis, prognosis and therapeutic perspectives.

Authors:  Brunangelo Falini; Paolo Sportoletti; Maria Paola Martelli
Journal:  Curr Opin Oncol       Date:  2009-11       Impact factor: 3.645

4.  CEBPA double-mutated acute myeloid leukaemia harbours concomitant molecular mutations in 76·8% of cases with TET2 and GATA2 alterations impacting prognosis.

Authors:  Vera Grossmann; Claudia Haferlach; Niroshan Nadarajah; Annette Fasan; Sandra Weissmann; Andreas Roller; Christiane Eder; Elisa Stopp; Wolfgang Kern; Torsten Haferlach; Alexander Kohlmann; Susanne Schnittger
Journal:  Br J Haematol       Date:  2013-03-25       Impact factor: 6.998

Review 5.  The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes.

Authors:  James W Vardiman; Jüergen Thiele; Daniel A Arber; Richard D Brunning; Michael J Borowitz; Anna Porwit; Nancy Lee Harris; Michelle M Le Beau; Eva Hellström-Lindberg; Ayalew Tefferi; Clara D Bloomfield
Journal:  Blood       Date:  2009-04-08       Impact factor: 22.113

6.  AML with mutated NPM1 carrying a normal or aberrant karyotype show overlapping biologic, pathologic, immunophenotypic, and prognostic features.

Authors:  Claudia Haferlach; Cristina Mecucci; Susanne Schnittger; Alexander Kohlmann; Marco Mancini; Antonio Cuneo; Nicoletta Testoni; Giovanna Rege-Cambrin; Antonella Santucci; Marco Vignetti; Paola Fazi; Maria Paola Martelli; Torsten Haferlach; Brunangelo Falini
Journal:  Blood       Date:  2009-05-08       Impact factor: 22.113

7.  Favorable prognosis of biallelic CEBPA gene mutations in acute myeloid leukemia patients: a meta-analysis.

Authors:  Hong-Ying Li; Dong-Hong Deng; Ying Huang; Fang-Hui Ye; Lu-Lu Huang; Qiang Xiao; Bing Zhang; Bing-Bing Ye; Yong-Rong Lai; Zeng-Nan Mo; Zhen-Fang Liu
Journal:  Eur J Haematol       Date:  2015-01-22       Impact factor: 2.997

8.  Prevalence and prognostic implications of CEBPA mutations in pediatric acute myeloid leukemia (AML): a report from the Children's Oncology Group.

Authors:  Phoenix A Ho; Todd A Alonzo; Robert B Gerbing; Jessica Pollard; Derek L Stirewalt; Craig Hurwitz; Nyla A Heerema; Betsy Hirsch; Susana C Raimondi; Beverly Lange; Janet L Franklin; Jerald P Radich; Soheil Meshinchi
Journal:  Blood       Date:  2009-03-20       Impact factor: 22.113

9.  Acute myeloid leukemia with biallelic CEBPA gene mutations and normal karyotype represents a distinct genetic entity associated with a favorable clinical outcome.

Authors:  Annika Dufour; Friederike Schneider; Klaus H Metzeler; Eva Hoster; Stephanie Schneider; Evelyn Zellmeier; Tobias Benthaus; Maria-Cristina Sauerland; Wolfgang E Berdel; Thomas Büchner; Bernhard Wörmann; Jan Braess; Wolfgang Hiddemann; Stefan K Bohlander; Karsten Spiekermann
Journal:  J Clin Oncol       Date:  2009-12-28       Impact factor: 44.544

10.  Detection of minimal residual disease in NPM1-mutated acute myeloid leukemia by next-generation sequencing.

Authors:  Stephen J Salipante; Jonathan R Fromm; Jay Shendure; Brent L Wood; David Wu
Journal:  Mod Pathol       Date:  2014-04-18       Impact factor: 7.842

View more
  6 in total

1.  Two rare cases of acute myeloid leukemia with t(8;16)(p11.2;p13.3) and 1q duplication: case presentation and literature review.

Authors:  Meng Liu; Yuan Ren; Xianfu Wang; Xianglan Lu; Ming Li; Young Mi Kim; Shibo Li; Lijun Zhang
Journal:  Mol Cytogenet       Date:  2020-08-25       Impact factor: 2.009

2.  Genetic Characteristics According to Subgroup of Acute Myeloid Leukemia with Myelodysplasia-Related Changes.

Authors:  Dain Kang; Jin Jung; Silvia Park; Byung-Sik Cho; Hee-Je Kim; Yeojae Kim; Jong-Mi Lee; Hoon Seok Kim; Ari Ahn; Myungshin Kim; Yonggoo Kim
Journal:  J Clin Med       Date:  2022-04-23       Impact factor: 4.964

3.  Changing the frequency and spectra of chromosomal aberrations in Korean patients with acute leukemia in a tertiary care hospital.

Authors:  Je-Hyun Park; Min-Gu Kang; Hye-Ran Kim; Young-Eun Lee; Jun Hyung Lee; Hyun-Jung Choi; Jong-Hee Shin; Myung-Geun Shin
Journal:  Blood Res       Date:  2020-12-31

4.  Kinesin family member 2A acts as a potential prognostic marker and treatment target via interaction with PI3K/AKT and RhoA/ROCK pathways in acute myeloid leukemia.

Authors:  Xinglin Liang; Ruixiang Xia
Journal:  Oncol Rep       Date:  2021-11-18       Impact factor: 3.906

5.  Risk stratification by 30-day prognostic factors of clinical outcomes after granulocyte transfusion in acute myeloid leukemia: A single-center retrospective study.

Authors:  Jaeeun Yoo; Hyung Suk Cho; Jae-Ho Yoon; Byung Sik Cho; Hee-Je Kim; Dong-Gun Lee; Dong Wook Jekarl; Myungshin Kim; Eun-Jee Oh; Yeon-Joon Park; Yonggoo Kim
Journal:  PLoS One       Date:  2022-08-30       Impact factor: 3.752

6.  Identification of TLN1 as a prognostic biomarker to effect cell proliferation and differentiation in acute myeloid leukemia.

Authors:  Di Cui; Xilong Cui; Xiaoliang Xu; Wenjing Zhang; Yu Yu; Yingxin Gao; Chuanzhong Mei; Weiwei Zheng
Journal:  BMC Cancer       Date:  2022-09-29       Impact factor: 4.638

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.