Literature DB >> 25652455

Integrated genomic profiling, therapy response, and survival in adult acute myelogenous leukemia.

Brian Parkin1, Peter Ouillette1, Mehmet Yildiz1, Kamlai Saiya-Cork1, Kerby Shedden2, Sami N Malek3.   

Abstract

PURPOSE: Recurrent gene mutations, chromosomal translocations, and acquired genomic copy number aberrations (aCNA) have been variously associated with acute myelogenous leukemia (AML) patient outcome. However, knowledge of the co-occurrence of such lesions and the relative influence of different types of genomic alterations on clinical outcomes in AML is still evolving. EXPERIMENTAL
DESIGN: We performed SNP 6.0 array-based genomic profiling of aCNA/copy neutral loss-of-heterozygosity (cnLOH) along with sequence analysis of 13 commonly mutated genes on purified leukemic blast DNA from 156 prospectively enrolled non-FAB-M3 AML patients across the clinical spectrum of de novo, secondary, and therapy-related AML.
RESULTS: TP53 and RUNX1 mutations are strongly associated with the presence of SNP-A-based aCNA/cnLOH, while FLT3 and NPM1 mutations are strongly associated with the absence of aCNA/cnLOH. The presence of mutations in RUNX1, ASXL1, and TP53, elevated SNP-A-based genomic complexity, and specific recurrent aCNAs predicted failure to achieve a complete response to induction chemotherapy. The presence of ≥1 aCNA/cnLOH and higher thresholds predicted for poor long-term survival irrespective of TP53 status, and the presence of ≥1 aCNA/cnLOH added negative prognostic information to knowledge of mutations in TET2, IDH1, NPM1, DNMT3A, and RUNX1. Results of multivariate analyses support a dominant role for TP53 mutations and a role for elevated genomic complexity as predictors of short survival in AML.
CONCLUSIONS: Integrated genomic profiling of a clinically relevant adult AML cohort identified genomic aberrations most associated with SNP-A-based genomic complexity, resistance to intensive induction therapies, and shortened overall survival. Identifying SNP-A-based lesions adds prognostic value to the status of several recurrently mutated genes. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25652455      PMCID: PMC4417381          DOI: 10.1158/1078-0432.CCR-14-0921

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  50 in total

1.  Gene mutation patterns and their prognostic impact in a cohort of 1185 patients with acute myeloid leukemia.

Authors:  Yang Shen; Yong-Mei Zhu; Xing Fan; Jing-Yi Shi; Qin-Rong Wang; Xiao-Jing Yan; Zhao-Hui Gu; Yan-Yan Wang; Bing Chen; Chun-Lei Jiang; Han Yan; Fei-Fei Chen; Hai-Min Chen; Zhu Chen; Jie Jin; Sai-Juan Chen
Journal:  Blood       Date:  2011-08-31       Impact factor: 22.113

2.  Topography, clinical, and genomic correlates of 5q myeloid malignancies revisited.

Authors:  Andres Jerez; Lukasz P Gondek; Anna M Jankowska; Hideki Makishima; Bartlomiej Przychodzen; Ramon V Tiu; Christine L O'Keefe; Azim M Mohamedali; Denise Batista; Mikkael A Sekeres; Michael A McDevitt; Ghulam J Mufti; Jaroslaw P Maciejewski
Journal:  J Clin Oncol       Date:  2012-02-27       Impact factor: 44.544

3.  ASXL1 mutations identify a high-risk subgroup of older patients with primary cytogenetically normal AML within the ELN Favorable genetic category.

Authors:  Klaus H Metzeler; Heiko Becker; Kati Maharry; Michael D Radmacher; Jessica Kohlschmidt; Krzysztof Mrózek; Deedra Nicolet; Susan P Whitman; Yue-Zhong Wu; Sebastian Schwind; Bayard L Powell; Thomas H Carter; Meir Wetzler; Joseph O Moore; Jonathan E Kolitz; Maria R Baer; Andrew J Carroll; Richard A Larson; Michael A Caligiuri; Guido Marcucci; Clara D Bloomfield
Journal:  Blood       Date:  2011-10-26       Impact factor: 22.113

4.  Prognostic value of monosomal karyotype in comparison to complex aberrant karyotype in acute myeloid leukemia: a study on 824 cases with aberrant karyotype.

Authors:  Claudia Haferlach; Tamara Alpermann; Susanne Schnittger; Wolfgang Kern; Jörg Chromik; Christoph Schmid; Hermann Josef Pielken; Karl-Anton Kreuzer; Heinz-Gert Höffkes; Torsten Haferlach
Journal:  Blood       Date:  2011-12-29       Impact factor: 22.113

5.  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

6.  Loss of heterozygosity in 7q myeloid disorders: clinical associations and genomic pathogenesis.

Authors:  Andres Jerez; Yuka Sugimoto; Hideki Makishima; Amit Verma; Anna M Jankowska; Bartlomiej Przychodzen; Valeria Visconte; Ramon V Tiu; Christine L O'Keefe; Azim M Mohamedali; Austin G Kulasekararaj; Andrea Pellagatti; Kathy McGraw; Hideki Muramatsu; Alison R Moliterno; Mikkael A Sekeres; Michael A McDevitt; Seiji Kojima; Alan List; Jacqueline Boultwood; Ghulam J Mufti; Jaroslaw P Maciejewski
Journal:  Blood       Date:  2012-05-02       Impact factor: 22.113

7.  Prognostic relevance of integrated genetic profiling in acute myeloid leukemia.

Authors:  Jay P Patel; Mithat Gönen; Maria E Figueroa; Hugo Fernandez; Zhuoxin Sun; Janis Racevskis; Pieter Van Vlierberghe; Igor Dolgalev; Sabrena Thomas; Olga Aminova; Kety Huberman; Janice Cheng; Agnes Viale; Nicholas D Socci; Adriana Heguy; Athena Cherry; Gail Vance; Rodney R Higgins; Rhett P Ketterling; Robert E Gallagher; Mark Litzow; Marcel R M van den Brink; Hillard M Lazarus; Jacob M Rowe; Selina Luger; Adolfo Ferrando; Elisabeth Paietta; Martin S Tallman; Ari Melnick; Omar Abdel-Wahab; Ross L Levine
Journal:  N Engl J Med       Date:  2012-03-14       Impact factor: 91.245

8.  IDH1 mutations are detected in 6.6% of 1414 AML patients and are associated with intermediate risk karyotype and unfavorable prognosis in adults younger than 60 years and unmutated NPM1 status.

Authors:  Susanne Schnittger; Claudia Haferlach; Madlen Ulke; Tamara Alpermann; Wolfgang Kern; Torsten Haferlach
Journal:  Blood       Date:  2010-08-30       Impact factor: 22.113

9.  RUNX1 mutations are associated with poor outcome in younger and older patients with cytogenetically normal acute myeloid leukemia and with distinct gene and MicroRNA expression signatures.

Authors:  Jason H Mendler; Kati Maharry; Michael D Radmacher; Krzysztof Mrózek; Heiko Becker; Klaus H Metzeler; Sebastian Schwind; Susan P Whitman; Jihane Khalife; Jessica Kohlschmidt; Deedra Nicolet; Bayard L Powell; Thomas H Carter; Meir Wetzler; Joseph O Moore; Jonathan E Kolitz; Maria R Baer; Andrew J Carroll; Richard A Larson; Michael A Caligiuri; Guido Marcucci; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2012-07-02       Impact factor: 44.544

10.  The prognostic significance of IDH2 mutations in AML depends on the location of the mutation.

Authors:  Claire L Green; Catherine M Evans; Lu Zhao; Robert K Hills; Alan K Burnett; David C Linch; Rosemary E Gale
Journal:  Blood       Date:  2011-05-19       Impact factor: 25.476

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  8 in total

1.  Ultrasensitive mutation detection identifies rare residual cells causing acute myelogenous leukemia relapse.

Authors:  Brian Parkin; Angelina Londoño-Joshi; Qing Kang; Muneesh Tewari; Andrew D Rhim; Sami N Malek
Journal:  J Clin Invest       Date:  2017-08-21       Impact factor: 14.808

2.  Immunorelated gene polymorphisms associated with acute myeloid leukemia.

Authors:  Q Liu; M Hua; S Yan; C Zhang; R Wang; X Yang; F Han; M Hou; D Ma
Journal:  Clin Exp Immunol       Date:  2020-06-02       Impact factor: 4.330

Review 3.  Clinical Outcomes of TP53 Mutations in Cancers.

Authors:  Ana I Robles; Jin Jen; Curtis C Harris
Journal:  Cold Spring Harb Perspect Med       Date:  2016-09-01       Impact factor: 6.915

4.  A multicenter trial of myeloablative clofarabine and busulfan conditioning for relapsed or primary induction failure AML not in remission at the time of allogeneic hematopoietic stem cell transplantation.

Authors:  J Magenau; P Westervelt; S Khaled; J McGuirk; P Hari; M Eapen; P S Becker; B Parkin; T Braun; B Logan; H Wang; M Jagasia; S D Rowley; D D H Kim; T Schechter; N Frey; B Scott; T Churay; S Lieland; S Forman; S Mineishi
Journal:  Bone Marrow Transplant       Date:  2016-07-18       Impact factor: 5.483

5.  Clinical Features and MicroRNA Expression Patterns Between AML Patients With DNMT3A R882 and Frameshift Mutations.

Authors:  Li Yang; Ke'Feng Shen; Mei'Lan Zhang; Wei Zhang; Hao'Dong Cai; Li'Man Lin; Xiao'Lu Long; Shu'Gang Xing; Yang Tang; Jie Xiong; Jia'Chen Wang; Deng'Ju Li; Jian'Feng Zhou; Min Xiao
Journal:  Front Oncol       Date:  2019-10-24       Impact factor: 6.244

6.  Evaluation of DNMT3A genetic polymorphisms as outcome predictors in AML patients.

Authors:  Xiao-Qing Yuan; Dao-Yu Zhang; Han Yan; Yong-Long Yang; Ke-Wei Zhu; Yan-Hong Chen; Xi Li; Ji-Ye Yin; Xiao-Lin Li; Hui Zeng; Xiao-Ping Chen
Journal:  Oncotarget       Date:  2016-09-13

7.  FOXM1 contributes to treatment failure in acute myeloid leukemia.

Authors:  Irum Khan; Marianna Halasi; Anand Patel; Rachael Schultz; Nandini Kalakota; Yi-Hua Chen; Nathan Aardsma; Li Liu; John D Crispino; Nadim Mahmud; Olga Frankfurt; Andrei L Gartel
Journal:  JCI Insight       Date:  2018-08-09

8.  Arpp19 Promotes Myc and Cip2a Expression and Associates with Patient Relapse in Acute Myeloid Leukemia.

Authors:  Eleonora Mäkelä; Eliisa Löyttyniemi; Urpu Salmenniemi; Otto Kauko; Taru Varila; Veli Kairisto; Maija Itälä-Remes; Jukka Westermarck
Journal:  Cancers (Basel)       Date:  2019-11-11       Impact factor: 6.639

  8 in total

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