Literature DB >> 11376809

Karyotype and age in acute myeloid leukemia. Are they linked?

A V Moorman1, E Roman, E V Willett, G J Dovey, R A Cartwright, G J Morgan.   

Abstract

A novel hierarchical cytogenetic classification for acute myeloid leukemia (AML) has been developed. Patients with successful cytogenetics and a diagnosis of AML were categorized into four mutually exclusive karyotype groups: normal, translocation, deletion and trisomy. Patients with more than one chromosomal abnormality were classified using the hierarchy: established translocation>established deletion>established trisomy>non-established translocation>non-established deletion>non-established trisomy. A total of 593 AML patients from a large population-based case-control study of acute leukemia were classified according to their diagnostic karyotype. The four karyotype groups showed different age distributions. Overall the frequency of patients increased with age as did the frequency of patients with a deletion, trisomy or normal karyotype. Although the increase of patients with age was much sharper for patients with a deletion. In contrast, the distribution of patients with a translocation was roughly constant with age. We concluded that there was a link between karyotype and the age of the patient at diagnosis. Furthermore, two karyotype groups, translocations and deletions, may define disease entities with different etiologies. This novel cytogenetic classification will allow other studies to examine whether AML cases with very different types of chromosomal abnormality have the same etiology.

Entities:  

Mesh:

Year:  2001        PMID: 11376809     DOI: 10.1016/s0165-4608(00)00414-3

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  15 in total

1.  Genetic alterations and their clinical implications in older patients with acute myeloid leukemia.

Authors:  C-H Tsai; H-A Hou; J-L Tang; C-Y Liu; C-C Lin; W-C Chou; M-H Tseng; Y-C Chiang; Y-Y Kuo; M-C Liu; C-W Liu; L-I Lin; W Tsay; M Yao; C-C Li; S-Y Huang; B-S Ko; S-C Hsu; C-Y Chen; C-T Lin; S-J Wu; H-F Tien
Journal:  Leukemia       Date:  2016-03-17       Impact factor: 11.528

2.  Acute myeloid leukemia in clinical practice: a retrospective population-based cohort study in Miyazaki Prefecture, Japan.

Authors:  Takuya Matsunaga; Kiyoshi Yamashita; Yoko Kubuki; Takanori Toyama; Osamu Imataki; Kouichi Maeda; Noriaki Kawano; Seiichi Satou; Hiroshi Kawano; Junzo Ishizaki; Shuro Yoshida; Takuro Kameda; Tadashi Sasaki; Masaaki Sekine; Ayako Kamiunten; Yasuhiro Taniguchi; Tomonori Hidaka; Keiko Katayose; Haruko K-Shimoda; Kotaro Shide; Shojiro Yamamoto; Hiroshi Moritake; Hiroyuki Nunoi; Shigeyoshi Makino; Akira Kitanaka; Hitoshi Matsuoka; Kazuya Shimoda
Journal:  Int J Hematol       Date:  2012-07-24       Impact factor: 2.490

3.  Acute leukemia incidence and patient survival among children and adults in the United States, 2001-2007.

Authors:  Graça M Dores; Susan S Devesa; Rochelle E Curtis; Martha S Linet; Lindsay M Morton
Journal:  Blood       Date:  2011-11-15       Impact factor: 22.113

4.  Age and acute myeloid leukemia.

Authors:  Frederick R Appelbaum; Holly Gundacker; David R Head; Marilyn L Slovak; Cheryl L Willman; John E Godwin; Jeanne E Anderson; Stephen H Petersdorf
Journal:  Blood       Date:  2006-02-02       Impact factor: 22.113

Review 5.  Polycomb group proteins in hematopoietic stem cell aging and malignancies.

Authors:  Karin Klauke; Gerald de Haan
Journal:  Int J Hematol       Date:  2011-04-27       Impact factor: 2.490

6.  Prognostic significance of the European LeukemiaNet standardized system for reporting cytogenetic and molecular alterations in adults with acute myeloid leukemia.

Authors:  Krzysztof Mrózek; Guido Marcucci; Deedra Nicolet; Kati S Maharry; Heiko Becker; Susan P Whitman; Klaus H Metzeler; Sebastian Schwind; Yue-Zhong Wu; Jessica Kohlschmidt; Mark J Pettenati; Nyla A Heerema; AnneMarie W Block; Shivanand R Patil; Maria R Baer; Jonathan E Kolitz; Joseph O Moore; Andrew J Carroll; Richard M Stone; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2012-09-17       Impact factor: 44.544

7.  Effect of NPM1 and FLT3 mutations on the outcomes of elderly patients with acute myeloid leukemia receiving standard chemotherapy.

Authors:  Naval Daver; Theresa Liu Dumlao; Farhad Ravandi; Sherry Pierce; Gautam Borthakur; Naveen Pemmaraju; Aziz Nazha; Stefan Faderl; Elias Jabbour; Guillermo Garcia-Manero; Jorges Cortes; Hagop Kantarjian; Alfonso Quintás-Cardama
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2013-06-10

8.  Pretreatment cytogenetics add to other prognostic factors predicting complete remission and long-term outcome in patients 60 years of age or older with acute myeloid leukemia: results from Cancer and Leukemia Group B 8461.

Authors:  Sherif S Farag; Kellie J Archer; Krzysztof Mrózek; Amy S Ruppert; Andrew J Carroll; James W Vardiman; Mark J Pettenati; Maria R Baer; Mazin B Qumsiyeh; Prasad R Koduru; Yi Ning; Robert J Mayer; Richard M Stone; Richard A Larson; Clara D Bloomfield
Journal:  Blood       Date:  2006-03-07       Impact factor: 22.113

9.  Smoking and the risk of acute myeloid leukaemia in cytogenetic subgroups.

Authors:  A V Moorman; E Roman; R A Cartwright; G J Morgan
Journal:  Br J Cancer       Date:  2002-01-07       Impact factor: 7.640

Review 10.  Etiology of Acute Leukemia: A Review.

Authors:  Cameron K Tebbi
Journal:  Cancers (Basel)       Date:  2021-05-08       Impact factor: 6.639

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