Literature DB >> 29249799

Mutations and karyotype in myelodysplastic syndromes: TP53 clusters with monosomal karyotype, RUNX1 with trisomy 21, and SF3B1 with inv(3)(q21q26.2) and del(11q).

Ayalew Tefferi1, Dame Idossa2, Terra L Lasho2, Mythri Mudireddy2, Christy Finke2, Sahrish Shah2, Maura Nicolosi2, Mrinal M Patnaik2, Animesh Pardanani2, Naseema Gangat2, Curt A Hanson3, Rhett P Ketterling4.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 29249799      PMCID: PMC5802462          DOI: 10.1038/s41408-017-0017-8

Source DB:  PubMed          Journal:  Blood Cancer J        ISSN: 2044-5385            Impact factor:   11.037


× No keyword cloud information.
Next-generation sequencing (NGS) studies have now established the presence of sometimes multiple somatic mutations in the majority of patients with myelodysplastic syndromes (MDS)[1, 2]. Some of these mutations, including ASXL1, TP53, RUNX1, EZH2, and SRSF2, have been shown to adversely affect overall or leukemia-free survival, independent of each other and conventional risk models[2]. More recent studies have further suggested associations of certain mutations in MDS with specific cytogenetic abnormalities. In this regard, one study employed NGS in 22 MDS patients with der(1;7)(q10;p10) and 32 with −7/del(7q)[3]; the most frequently mutated genes in the former were RUNX1 (41%), ASXL1 (23%), EZH2 (18%), and DNMT3A (18%) and in the latter TP53 (28%), ASXL1 28%, SETBP1 (22%), and TET2 (19%). Accordingly, the authors suggested an association between der(1;7)(q10;p10) and RUNX1 mutations[3]. In another NGS study of 43 patients with del(5q)-associated MDS, recurrent mutations among 22 patients with del(5q) syndrome included ASXL1 (14%), TET2 (14%), SF3B1 (9%), TP53 (5%), RUNX1 (5%), DNMT3A (5%), and WT1 (5%)[4]; more advanced cases displayed higher frequency of TP53 mutations. Such observations carry both pathogenetic and practical relevance, especially in deciphering the prognostic interaction between mutations and karyotype. In a recent communication, we reported on 179 MDS patients in whom information was available for NGS-derived mutational status, and showed an adverse overall and leukemia-free survival impact from ASXL1, SETBP1, or TP53 mutations/variants and SRSF2, IDH2, CSF3R mutations/variants, respectively[2]. The prognostic contribution of these mutations was independent of co-existing mutations, number of mutations, age, and, for the large part, the revised international prognostic scoring system (IPSS-R)[2]; an apparent association between SF3B1 mutations and favorable prognosis was no longer evident after analysis was adjusted for IPSS-R. In the current study, we sought to discover specific associations between mutations and karyotype and clarify the inter-independent prognostic contribution of mutations vs. karyotype. The study population (N = 179) consisted of patients with primary MDS who were informative for both karyotype and NGS data. The diagnosis of MDS and leukemic transformation was according to the 2008 World Health Organization (WHO) criteria[5]. Cytogenetic analysis and reporting was done according to the International System for Human Cytogenetic Nomenclature (ISCN) criteria[6]. Cytogenetic reports were re-reviewed and grouped into categories that are found to be informative, on preliminary analysis of associations with specific mutations. A 27-gene panel NGS study was performed on bone marrow DNA specimens, and queried genes included TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, TP53, SH2B3, RUNX1, CBL, NRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF1, and SETBP1. Altered DNA sequences were deemed as mutations or variants, if they were associated with a hematologic malignancy (as identified by COSMIC database), or if they have not been associated with a dbSNP. All statistical analyses considered clinical and laboratory parameters obtained at the time of mutation screening. Clinical and laboratory features of the 179 study patients included median age 73 years (range 28–96), males 68%, median hemoglobin 10 g/dl (range 6.9–14.8), median leukocyte count 3.6 × 109/l (range 0.8–20), median platelet count 91 × 109/l (range 4–599). Risk distribution according to IPSS-R was very high 11%, high 18%, intermediate 17%, low 38%, and very low 16%. Abnormal karyotype was reported in 107 (60%) patients with the most frequent being normal karyotype (n = 78; 43.6%), monosomal karyotype (n = 22; 12.3%), sole +8 (n = 14; 7.8%), sole del(5q) (n = 13; 7.3%), sole −7/del(7q) (n = 6; 3.4%), sole del(11q) (n = 5; 2.8%), sole +21 (n = 4; 2.2%), sole trisomies other than +8 and +21 (n = 5; 2.8%), sole del(20q) (n = 4; 2.2%), sole inv(3)(q21q26.2) (n = 2; 1.1%); complex non-monosomal (n = 3; 1.7%), der(1;7)(q10;p10) (n = 3; 1.7%), and other sole or double abnormalities (n = 20; 11.2%). At least one mutation/variant was seen in 147 (82%) patients; 58 (32%) patients harbored one, 48 (27%) two, and 41 (23%) three or more. Mutations/variants detected included ASXL1 (n = 53; 30%), TET2 (n = 44; 25%), SF3B1 (n = 36; 20%), U2AF1 (n = 28; 16%), SRSF2 (n = 28; 16%), TP53 (n = 23; 13%), RUNX1 (n = 19; 11%), DNMT3A (n = 18; 10%), IDH2 (n = 11; 6%), EZH2 (n = 7; 4%), CEBPA (n = 6; 3%), SETBP1 (n = 5; 3%), IDH1 (n = 5; 3%), CSF3R (n = 5; 3%), KIT (n = 3; 2%), CBL (n = 2; 1%), JAK2 (n = 2; 1%), CALR (n = 1; 0.5%), and FLT3 (n = 1; 0.5%). Table 1 lists mutations which showed significant associations with specific cytogenetic categories. The most notable associations were between monosomal karyotype and TP53 mutations (p < 0.0001; mutational frequency of 82% vs. <10% in all other abnormal cytogenetic categories), RUNX1 and +21 (p < 0.0001; mutational frequency of 100% vs. <35% in all other abnormal cytogenetic categories), and SF3B1 and del(11q) and inv(3)(q21q26.2) (p = 0.0001; mutational frequency of 80% and 100%, respectively, vs. <20% in all other abnormal cytogenetic categories). Patients with trisomy 21 also frequently harbored ASXL1 (75%) and SRSF2 (75%) mutations. Other associations included ASXL1 with +8, SRSF2 with other sole trisomies, −7/del(7q) with IDH1 and U2AF1 mutations. The close association between TP53 mutations and monosomal karyotype was not further modified by the presence or absence of monosomy 17, as part of their monosomal karyotype; 7 (32%) of the 22 cases with monosomal karyotype harbored monosomy 17. Similarly, the specific type of RUNX1 mutation did not affect its association pattern with trisomy 21; among the 19 cases with RUNX1 mutations, 13 involved the runt domain, 10 (53%) were frameshift, 7 (37%) missense, and 1 nonsense.
Table 1

Cytogenetic categories in 179 patients with primary myelodysplastic syndromes and significantly associated mutations

MutationsAll patients (n = 179)Normal karyotype n = 78 (44%)Monosomal karyotype n = 22 (12%)Sole +8 n = 14 (8%)Sole 5q− n = 13 (7%)Sole −7/7q− n = 6 (3%)Sole 11q− n = 5 (3%)Sole 20q− n = 4 (2%)Sole +21 n = 4 (2%)Other sole trisomies n = 5 (3%)Sole inv(3) n = 2 (1%)Der(1;7) n = 3 (2%)Complex non-monosomal n = 3 (2%)Others n = 20 (11%) P-value
ASXL1; n (%)53 (30%)25 (32%)1 (5%)7 (50%)1 (8%)2 (33%)1 (20%)1 (25%)3 (75%)0001 (33%)8 (40%)0.02
SF3B1; n (%)36 (20%)24 (31%)1 (5%)2 (14%)004 (80%)0002 (100%)003 (15%)0.0001
SRSF2; n (%)28 (16%)14 (18%)02 (14%)01 (17%)1 (20%)03 (75%)3 (60%)0004 (20%)0.006
U2AF1; n (%)28 (16%)9 (12%)1 (5%)3 (21%)04 (67%)02 (50%)02 (40%)002 (67%)5 (25%)0.0009
TP53; n (%)23 (13%)3 (4%)18 (82%)01 (8%)000000001 (5%)<0.0001
RUNX1; n (%)19 (11%)5 (6%)1 (5%)3 (21%)02 (33%)01 (25%)4 (100%)001 (33%)02 (10%)<0.0001
IDH1; n (%)5 (3%)2 (3%)0002 (33%)0001 (20%)00000.004
Cytogenetic categories in 179 patients with primary myelodysplastic syndromes and significantly associated mutations Given the adequate number of informative cases with monosomal karyotype (n = 22), we examined its prognostic interaction with TP53 mutations; in multivariable analysis that included these two variables, among 100 cases with either monosomal (n = 22) or normal (n = 78) karyotype, the prognostic contribution of TP53 mutations (HR 1.4; 95% CI 0.7–3.0; p = 0.33) was overridden by that of monosomal karyotype (HR 2.9; 95% CI 1.4–5.9; p = 0.003) (Fig. 1). Similar results were obtained when the entire cohort of 179 study patients were included in the multivariable model. Furthermore, in univariate analysis, monosomal karyotype (p = 0.04) and not TP53 mutations (p = 0.07) predicted leukemic transformation.
Fig. 1

Overall survival of 100 patients with primary myelodysplastic syndromes and either normal or monosomal karyotype, stratified by the presence or absence of TP53 mutations

Overall survival of 100 patients with primary myelodysplastic syndromes and either normal or monosomal karyotype, stratified by the presence or absence of TP53 mutations The observations from the current study carry both pathogenetic and prognostic relevance. The association between monosomal karyotype and TP53 mutations has also been recognized in the setting of acute myeloid leukemia (AML)[7, 8], and raises the possibility of mutation-induced genetic/chromosome instability as the cause of the particular cytogenetic abnormality. Furthermore, the current study suggests that the adverse impact of TP53 mutations might be accounted for by its association with monosomal karyotype, whose independent prognostic contribution in MDS has previously been stressed[9, 10]. The association between RUNX1 mutations and trisomy 21 was also previously reported in AML[11], chronic myeloid leukemia,[12] and B-cell acute lymphoblastic leukemia[13]. Our observation on the association of SF3B1 mutations and inv(3)(q21q26.2) is novel and consistent with our previous observation of the same in chronic myelomonocytic leukemia[14]. As has also been previously noted in MDS[15], SF3B1 mutations were also associated with del(11q), which is prognostically different from inv(3)(q21q26.2). These observations warrant careful attention to karyotype, when asserting the prognostic impact of mutation in MDS and other myeloid malignancies.
  14 in total

1.  Monosomal karyotype in myelodysplastic syndromes, with or without monosomy 7 or 5, is prognostically worse than an otherwise complex karyotype.

Authors:  M M Patnaik; C A Hanson; J M Hodnefield; R Knudson; D L Van Dyke; A Tefferi
Journal:  Leukemia       Date:  2010-11-12       Impact factor: 11.528

2.  High frequency of RUNX1 mutation in myelodysplastic syndrome patients with whole-arm translocation of der(1;7)(q10;p10).

Authors:  T Zhang; Y Xu; J Pan; H Li; Q Wang; L Wen; D Wu; A Sun; S Chen
Journal:  Leukemia       Date:  2017-07-19       Impact factor: 11.528

3.  TP53 alterations in acute myeloid leukemia with complex karyotype correlate with specific copy number alterations, monosomal karyotype, and dismal outcome.

Authors:  Frank G Rücker; Richard F Schlenk; Lars Bullinger; Sabine Kayser; Veronica Teleanu; Helena Kett; Marianne Habdank; Carla-Maria Kugler; Karlheinz Holzmann; Verena I Gaidzik; Peter Paschka; Gerhard Held; Marie von Lilienfeld-Toal; Michael Lübbert; Stefan Fröhling; Thorsten Zenz; Jürgen Krauter; Brigitte Schlegelberger; Arnold Ganser; Peter Lichter; Konstanze Döhner; Hartmut Döhner
Journal:  Blood       Date:  2011-12-20       Impact factor: 22.113

4.  Targeted re-sequencing analysis of 25 genes commonly mutated in myeloid disorders in del(5q) myelodysplastic syndromes.

Authors:  Marta Fernandez-Mercado; Adam Burns; Andrea Pellagatti; Aristoteles Giagounidis; Ulrich Germing; Xabier Agirre; Felipe Prosper; Carlo Aul; Sally Killick; James S Wainscoat; Anna Schuh; Jacqueline Boultwood
Journal:  Haematologica       Date:  2013-07-05       Impact factor: 9.941

5.  High incidence of the ETV6/RUNX1 fusion gene in paediatric precursor B-cell acute lymphoblastic leukaemias with trisomy 21 as the sole cytogenetic change: a Nordic series of cases diagnosed 1989-2005.

Authors:  Kristina Karrman; Erik Forestier; Mette K Andersen; Kirsi Autio; Georg Borgström; Sverre Heim; Kristina Heinonen; Randi Hovland; Gitte Kerndrup; Bertil Johansson
Journal:  Br J Haematol       Date:  2006-09-11       Impact factor: 6.998

6.  Clinical effect of point mutations in myelodysplastic syndromes.

Authors:  Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2011-06-30       Impact factor: 91.245

7.  RUNX1 DNA-binding mutations and RUNX1-PRDM16 cryptic fusions in BCR-ABL+ leukemias are frequently associated with secondary trisomy 21 and may contribute to clonal evolution and imatinib resistance.

Authors:  Catherine Roche-Lestienne; Lauréline Deluche; Sélim Corm; Isabelle Tigaud; Sami Joha; Nathalie Philippe; Sandrine Geffroy; Jean-Luc Laï; Franck-Emmanuel Nicolini; Claude Preudhomme
Journal:  Blood       Date:  2008-01-17       Impact factor: 22.113

Review 8.  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

9.  AML1/RUNX1 mutations are infrequent, but related to AML-M0, acquired trisomy 21, and leukemic transformation in pediatric hematologic malignancies.

Authors:  Takeshi Taketani; Tomohiko Taki; Junko Takita; Masahiro Tsuchida; Ryoji Hanada; Teruaki Hongo; Takashi Kaneko; Atsushi Manabe; Kohmei Ida; Yasuhide Hayashi
Journal:  Genes Chromosomes Cancer       Date:  2003-09       Impact factor: 5.006

10.  Molecular and prognostic correlates of cytogenetic abnormalities in chronic myelomonocytic leukemia: a Mayo Clinic-French Consortium Study.

Authors:  Emnet A Wassie; Raphael Itzykson; Terra L Lasho; Olivier Kosmider; Christy M Finke; Curtis A Hanson; Rhett P Ketterling; Eric Solary; Ayalew Tefferi; Mrinal M Patnaik
Journal:  Am J Hematol       Date:  2014-09-26       Impact factor: 10.047

View more
  6 in total

1.  Impact of splicing factor mutations on clinical features in patients with myelodysplastic syndromes.

Authors:  Naoki Shingai; Yuka Harada; Hiroko Iizuka; Yosuke Ogata; Noriko Doki; Kazuteru Ohashi; Masao Hagihara; Norio Komatsu; Hironori Harada
Journal:  Int J Hematol       Date:  2018-10-23       Impact factor: 2.490

2.  The CADM1 tumor suppressor gene is a major candidate gene in MDS with deletion of the long arm of chromosome 11.

Authors:  Marina Lafage-Pochitaloff; Bastien Gerby; Véronique Baccini; Laetitia Largeaud; Vincent Fregona; Naïs Prade; Pierre-Yves Juvin; Laura Jamrog; Pierre Bories; Sylvie Hébrard; Stéphanie Lagarde; Véronique Mansat-De Mas; Oliver M Dovey; Kosuke Yusa; George S Vassiliou; Joop H Jansen; Tobias Tekath; David Rombaut; Geneviève Ameye; Carole Barin; Audrey Bidet; John Boudjarane; Marie-Agnès Collonge-Rame; Carine Gervais; Antoine Ittel; Christine Lefebvre; Isabelle Luquet; Lucienne Michaux; Nathalie Nadal; Hélène A Poirel; Isabelle Radford-Weiss; Bénédicte Ribourtout; Steven Richebourg; Stéphanie Struski; Christine Terré; Isabelle Tigaud; Dominique Penther; Virginie Eclache; Michaela Fontenay; Cyril Broccardo; Eric Delabesse
Journal:  Blood Adv       Date:  2022-01-25

3.  Incorporation of mutations in five genes in the revised International Prognostic Scoring System can improve risk stratification in the patients with myelodysplastic syndrome.

Authors:  Hsin-An Hou; Cheng-Hong Tsai; Chien-Chin Lin; Wen-Chien Chou; Yuan-Yeh Kuo; Chieh-Yu Liu; Mei-Hsuan Tseng; Yen-Ling Peng; Ming-Chih Liu; Chia-Wen Liu; Xiu-Wen Liao; Liang-In Lin; Ming Yao; Jih-Luh Tang; Hwei-Fang Tien
Journal:  Blood Cancer J       Date:  2018-04-04       Impact factor: 11.037

4.  Temporal expression of MOF acetyltransferase primes transcription factor networks for erythroid fate.

Authors:  Cecilia Pessoa Rodrigues; Josip Stefan Herman; Benjamin Herquel; Claudia Isabelle Keller Valsecchi; Thomas Stehle; Dominic Grün; Asifa Akhtar
Journal:  Sci Adv       Date:  2020-05-20       Impact factor: 14.136

Review 5.  TP53 in Myelodysplastic Syndromes: Recent Biological and Clinical Findings.

Authors:  Cosimo Cumbo; Giuseppina Tota; Luisa Anelli; Antonella Zagaria; Giorgina Specchia; Francesco Albano
Journal:  Int J Mol Sci       Date:  2020-05-13       Impact factor: 5.923

6.  TP53 Expression and Mutational Analysis in Hematological Malignancy in Jeddah, Saudi Arabia.

Authors:  Heba Alkhatabi; Elrashed B Yasin; Zeenat Mirza; Raed Alserihi; Raed Felimban; Aisha Elaimi; Manal Shaabad; Lina Alharbi; Hameeda Ahmed; Abdulrahman M Alameer; Abdullah Ebraheem Mathkoor; Ahmed Salleh Barefah
Journal:  Diagnostics (Basel)       Date:  2022-03-16
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.