Literature DB >> 17336252

Is secondary leukemia an independent poor prognostic factor in acute myeloid leukemia?

Richard A Larson1.   

Abstract

Secondary leukemia is a poorly defined term that often refers to the development of acute myeloid leukemia (AML) following the history of a previous disease, such as a myelodysplastic syndrome or a chronic myeloproliferative disorder. Secondary leukemia can also be a consequence of treatment with chemotherapy, including alkylating agents and topoisomerase II inhibitors, and/or radiotherapy, or due to exposure to environmental carcinogens. Outcomes for this large and variable group of patients with secondary AML have been poor compared to people who develop AML de novo. The question arises whether a diagnosis of secondary leukemia per se indicates a poor prognosis or whether their bad outcomes result from an association with certain morphologic and biologic characteristics. Morphologic dysplasia in de novo AML is related to unfavorable cytogenetics, but has no independent prognostic relevance under the conditions of intensive chemotherapy. While there is no significant correlation between cytogenetic risk groups and dysplasia, cytogenetic features do have an impact on outcome among both de novo and secondary AML patients. In various subgroups of secondary AML, the spectrum of cytogenetic abnormalities is similar to de novo AML, but the frequency of abnormalities associated with unfavorable and intermediate risk cytogenetics, such as a complex karyotype, trisomy 8, monosomy 7, and others, is higher in secondary AML. The survival of patients with therapy-related myeloid leukemia (t-AML) is generally shorter than for those with de novo AML within the same cytogenetic risk group. Across the population of t-AML, however, survival varies according to cytogenetic risk group, with longer survival in patients with favorable-risk karyotypes. The term secondary AML is too broad and imprecise to be of importance and should not be used. These AML patients should be enrolled on front-line chemotherapy trials and should be stratified by pretreatment disease status and exposure history, if necessary. Most importantly, the molecular and genetic differences that appear to determine the phenotype and the outcome of these patients need to be investigated further.

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Year:  2007        PMID: 17336252     DOI: 10.1016/j.beha.2006.10.006

Source DB:  PubMed          Journal:  Best Pract Res Clin Haematol        ISSN: 1521-6926            Impact factor:   3.020


  27 in total

1.  Clonal architecture of secondary acute myeloid leukemia.

Authors:  Matthew J Walter; Dong Shen; Li Ding; Jin Shao; Daniel C Koboldt; Ken Chen; David E Larson; Michael D McLellan; David Dooling; Rachel Abbott; Robert Fulton; Vincent Magrini; Heather Schmidt; Joelle Kalicki-Veizer; Michelle O'Laughlin; Xian Fan; Marcus Grillot; Sarah Witowski; Sharon Heath; John L Frater; William Eades; Michael Tomasson; Peter Westervelt; John F DiPersio; Daniel C Link; Elaine R Mardis; Timothy J Ley; Richard K Wilson; Timothy A Graubert
Journal:  N Engl J Med       Date:  2012-03-14       Impact factor: 91.245

2.  Secondary Acute Lymphoblastic Leukemia after Hodgkin's Lymphoma or a Coincidental Association of Two Hematological Malignancies?

Authors:  Mihaela Tevet; Cornel Dragan; Carmen Saguna; Doina Barbu; Anca Roxana Lupu
Journal:  Maedica (Buchar)       Date:  2013-09

3.  Aberrant RNA splicing and mutations in spliceosome complex in acute myeloid leukemia.

Authors:  Jianbiao Zhou; Wee-Joo Chng
Journal:  Stem Cell Investig       Date:  2017-02-09

4.  Arsenic disulfide induced apoptosis and concurrently promoted erythroid differentiation in cytokine-dependent myelodysplastic syndrome-progressed leukemia cell line F-36p with complex karyotype including monosomy 7.

Authors:  Xiao-mei Hu; Sachiko Tanaka; Kenji Onda; Bo Yuan; Hiroo Toyoda; Rou Ma; Feng Liu; Toshihiko Hirano
Journal:  Chin J Integr Med       Date:  2014-03-07       Impact factor: 1.978

5.  Identification of functionally primitive and immunophenotypically distinct subpopulations in secondary acute myeloid leukemia by mass cytometry.

Authors:  Shovik Bandyopadhyay; Jared S Fowles; Liyang Yu; Daniel A C Fisher; Stephen T Oh
Journal:  Cytometry B Clin Cytom       Date:  2018-11-13       Impact factor: 3.058

6.  Treated secondary acute myeloid leukemia: a distinct high-risk subset of AML with adverse prognosis.

Authors:  Prajwal Boddu; Hagop M Kantarjian; Guillermo Garcia-Manero; Farhad Ravandi; Srdan Verstovsek; Elias Jabbour; Gautam Borthakur; Marina Konopleva; Kapil N Bhalla; Naval Daver; Courtney D DiNardo; Christopher B Benton; Koichi Takahashi; Zeev Estrov; Sherry R Pierce; Michael Andreeff; Jorge E Cortes; Tapan M Kadia
Journal:  Blood Adv       Date:  2017-07-19

Review 7.  Acute leukemia as a secondary malignancy in children and adolescents: current findings and issues.

Authors:  Nobuko Hijiya; Kirsten K Ness; Raul C Ribeiro; Melissa M Hudson
Journal:  Cancer       Date:  2009-01-01       Impact factor: 6.860

8.  Transferred WT1-reactive CD8+ T cells can mediate antileukemic activity and persist in post-transplant patients.

Authors:  Aude G Chapuis; Gunnar B Ragnarsson; Hieu N Nguyen; Colette N Chaney; Jeffrey S Pufnock; Thomas M Schmitt; Natalie Duerkopp; Ilana M Roberts; Galina L Pogosov; William Y Ho; Sebastian Ochsenreither; Matthias Wölfl; Merav Bar; Jerald P Radich; Cassian Yee; Philip D Greenberg
Journal:  Sci Transl Med       Date:  2013-02-27       Impact factor: 17.956

9.  Allogeneic stem cell transplantation in acute myeloid leukemia: establishment of indications on the basis of individual risk stratification.

Authors:  Axel Rolf Zander; Ulrike Bacher; Jürgen Finke
Journal:  Dtsch Arztebl Int       Date:  2008-09-26       Impact factor: 5.594

10.  Prognostic implications of CD14 positivity in acute myeloid leukemia arising from myelodysplastic syndrome.

Authors:  Yunsuk Choi; Je-Hwan Lee; Sung-Doo Kim; Dae-Young Kim; Jung-Hee Lee; Miee Seol; Young-Ah Kang; Mijin Jeon; Ah Rang Jung; Kyoo-Hyung Lee
Journal:  Int J Hematol       Date:  2013-01-31       Impact factor: 2.490

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