Literature DB >> 28411282

Genomic architecture and treatment outcome in pediatric acute myeloid leukemia: a Children's Oncology Group report.

Marijana Vujkovic1, Edward F Attiyeh1, Rhonda E Ries2, Elizabeth K Goodman1, Yang Ding1, Marko Kavcic3, Todd A Alonzo4, Yi-Cheng Wang5, Robert B Gerbing5, Lillian Sung6, Betsy Hirsch7, Susana Raimondi1,8, Alan S Gamis9, Soheil Meshinchi2, Richard Aplenc1.   

Abstract

Childhood acute myeloid leukemia (AML) is frequently characterized by chromosomal instability. Approximately 50% of patients have disease relapse, and novel prognostic markers are needed to improve risk stratification. We performed genome-wide genotyping in 446 pediatric patients with de novo AML enrolled in Children's Oncology Group (COG) studies AAML0531, AAML03P1, and CCG2961. Affymetrix and Illumina Omni 2.5 platforms were used to evaluate copy-number alterations (CNAs) and determine their associations with treatment outcome. Data from Affymetrix and Illumina studies were jointly analyzed with ASCAT and GISTIC software. An average of 1.14 somatically acquired CNAs per patient were observed. Novel reoccurring altered genomic regions were identified, and the presence of CNAs was found to be associated with decreased 3-year overall survival (OS), event-free survival (EFS), and relapse risk from the end of induction 1 (hazard ratio [HR], 1.7; 95% confidence interval [CI], 1.2-2.4; HR, 1.4; 95% CI, 1.0-1.8; and HR, 1.4; 95% CI, 1.0-2.0, respectively). Analyses by risk group demonstrated decreased OS and EFS in the standard-risk group only (HR, 1.9; 95% CI, 1.1-3.3 and HR, 1.7; 95% CI, 1.1-2.6, respectively). Additional studies are required to test the prognostic significance of CNA presence in disease relapse in patients with AML. COG studies AAML0531, AAML03P1, and CCG2961 were registered at www.clinicaltrials.gov as #NCT01407757, #NCT00070174, and #NCT00003790, respectively.
© 2017 by The American Society of Hematology.

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Year:  2017        PMID: 28411282      PMCID: PMC5465840          DOI: 10.1182/blood-2017-03-772384

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  34 in total

1.  Implications of NRAS mutations in AML: a study of 2502 patients.

Authors:  Ulrike Bacher; Torsten Haferlach; Claudia Schoch; Wolfgang Kern; Susanne Schnittger
Journal:  Blood       Date:  2006-01-24       Impact factor: 22.113

2.  Pediatric Oncology Group (POG) studies of acute myeloid leukemia (AML): a review of four consecutive childhood AML trials conducted between 1981 and 2000.

Authors:  Y Ravindranath; M Chang; C P Steuber; D Becton; G Dahl; C Civin; B Camitta; A Carroll; S C Raimondi; H J Weinstein
Journal:  Leukemia       Date:  2005-12       Impact factor: 11.528

3.  AAML03P1, a pilot study of the safety of gemtuzumab ozogamicin in combination with chemotherapy for newly diagnosed childhood acute myeloid leukemia: a report from the Children's Oncology Group.

Authors:  Todd M Cooper; Janet Franklin; Robert B Gerbing; Todd A Alonzo; Craig Hurwitz; Susana C Raimondi; Betsy Hirsch; Franklin O Smith; Prasad Mathew; Robert J Arceci; James Feusner; Robert Iannone; Robert S Lavey; Soheil Meshinchi; Alan Gamis
Journal:  Cancer       Date:  2011-07-15       Impact factor: 6.860

4.  FLT3 and JAK2 Mutations in Acute Myeloid Leukemia Promote Interchromosomal Homologous Recombination and the Potential for Copy Neutral Loss of Heterozygosity.

Authors:  Terry J Gaymes; Azim Mohamedali; Anthony L Eiliazadeh; David Darling; Ghulam J Mufti
Journal:  Cancer Res       Date:  2017-01-20       Impact factor: 12.701

5.  Concordance of copy number alterations using a common analytic pipeline for genome-wide analysis of Illumina and Affymetrix genotyping data: a report from the Children's Oncology Group.

Authors:  Marijana Vujkovic; Edward F Attiyeh; Rhonda E Ries; Michelle Horn; Elizabeth K Goodman; Yang Ding; Marko Kavcic; Todd A Alonzo; Robert B Gerbing; Betsy Hirsch; Susana Raimondi; Alan S Gamis; Soheil Meshinchi; Richard Aplenc
Journal:  Cancer Genet       Date:  2015-05-07

6.  The pitfalls of platform comparison: DNA copy number array technologies assessed.

Authors:  Christina Curtis; Andy G Lynch; Mark J Dunning; Inmaculada Spiteri; John C Marioni; James Hadfield; Suet-Feung Chin; James D Brenton; Simon Tavaré; Carlos Caldas
Journal:  BMC Genomics       Date:  2009-12-08       Impact factor: 3.969

7.  Outcomes in CCG-2961, a children's oncology group phase 3 trial for untreated pediatric acute myeloid leukemia: a report from the children's oncology group.

Authors:  Beverly J Lange; Franklin O Smith; James Feusner; Dorothy R Barnard; Patricia Dinndorf; Stephen Feig; Nyla A Heerema; Carola Arndt; Robert J Arceci; Nita Seibel; Margie Weiman; Kathryn Dusenbery; Kevin Shannon; Sandra Luna-Fineman; Robert B Gerbing; Todd A Alonzo
Journal:  Blood       Date:  2007-11-13       Impact factor: 22.113

8.  Genomic analysis reveals few genetic alterations in pediatric acute myeloid leukemia.

Authors:  Ina Radtke; Charles G Mullighan; Masami Ishii; Xiaoping Su; Jinjun Cheng; Jing Ma; Ramapriya Ganti; Zhongling Cai; Salil Goorha; Stanley B Pounds; Xueyuan Cao; Caroline Obert; Jianling Armstrong; Jinghui Zhang; Guangchun Song; Raul C Ribeiro; Jeffrey E Rubnitz; Susana C Raimondi; Sheila A Shurtleff; James R Downing
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-27       Impact factor: 11.205

9.  Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse.

Authors:  Jason E Farrar; Heather L Schuback; Rhonda E Ries; Daniel Wai; Oliver A Hampton; Lisa R Trevino; Todd A Alonzo; Jaime M Guidry Auvil; Tanja M Davidsen; Patee Gesuwan; Leandro Hermida; Donna M Muzny; Ninad Dewal; Navin Rustagi; Lora R Lewis; Alan S Gamis; David A Wheeler; Malcolm A Smith; Daniela S Gerhard; Soheil Meshinchi
Journal:  Cancer Res       Date:  2016-03-03       Impact factor: 12.701

10.  Leukemic mutations in the methylation-associated genes DNMT3A and IDH2 are rare events in pediatric AML: a report from the Children's Oncology Group.

Authors:  Phoenix A Ho; Matthew A Kutny; Todd A Alonzo; Robert B Gerbing; Jason Joaquin; Susana C Raimondi; Alan S Gamis; Soheil Meshinchi
Journal:  Pediatr Blood Cancer       Date:  2011-04-18       Impact factor: 3.838

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  10 in total

1.  Identification of a prognostic signature based on copy number variations (CNVs) and CNV-modulated gene expression in acute myeloid leukemia.

Authors:  Changchun Niu; Di Wu; Alexander J Li; Kevin H Qin; Daniel A Hu; Eric J Wang; Andrew Blake Tucker; Fang He; Linjuan Huang; Hao Wang; Qing Liu; Na Ni; Deyao Shi; Xia Zhao; Yafang Wan; Tian Li; Tongchuan He; Pu Liao
Journal:  Am J Transl Res       Date:  2021-12-15       Impact factor: 4.060

2.  Impact of CNA on AML prognosis.

Authors:  Fanny Gonzales; Meyling H Cheok
Journal:  Oncotarget       Date:  2017-12-18

3.  Tumor copy number alteration burden is a pan-cancer prognostic factor associated with recurrence and death.

Authors:  Haley Hieronymus; Rajmohan Murali; Amy Tin; Kamlesh Yadav; Wassim Abida; Henrik Moller; Daniel Berney; Howard Scher; Brett Carver; Peter Scardino; Nikolaus Schultz; Barry Taylor; Andrew Vickers; Jack Cuzick; Charles L Sawyers
Journal:  Elife       Date:  2018-09-04       Impact factor: 8.140

4.  Wilms Tumor 1 Mutations Are Independent Poor Prognostic Factors in Pediatric Acute Myeloid Leukemia.

Authors:  Yin Wang; Wen-Jun Weng; Dun-Hua Zhou; Jian-Pei Fang; Srishti Mishra; Li Chai; Lu-Hong Xu
Journal:  Front Oncol       Date:  2021-04-21       Impact factor: 6.244

5.  Cytogenetic and mutational analysis and outcome assessment of a cohort of 284 children with de novo acute myeloid leukemia reveal complex karyotype as an adverse risk factor for inferior survival.

Authors:  Xi Chen; Xingjuan Wang; Hu Dou; Zhenzhen Yang; Junqin Bi; Yi Huang; Ling Lu; Jie Yu; Liming Bao
Journal:  Mol Cytogenet       Date:  2021-05-19       Impact factor: 2.009

6.  Using expression quantitative trait loci data and graph-embedded neural networks to uncover genotype-phenotype interactions.

Authors:  Xinpeng Guo; Jinyu Han; Yafei Song; Zhilei Yin; Shuaichen Liu; Xuequn Shang
Journal:  Front Genet       Date:  2022-08-15       Impact factor: 4.772

7.  A hypoxia risk signature for the tumor immune microenvironment evaluation and prognosis prediction in acute myeloid leukemia.

Authors:  Feng Jiang; Yan Mao; Binbin Lu; Guoping Zhou; Jimei Wang
Journal:  Sci Rep       Date:  2021-07-19       Impact factor: 4.379

Review 8.  Cytogenetics of Pediatric Acute Myeloid Leukemia: A Review of the Current Knowledge.

Authors:  Julie Quessada; Wendy Cuccuini; Paul Saultier; Marie Loosveld; Christine J Harrison; Marina Lafage-Pochitaloff
Journal:  Genes (Basel)       Date:  2021-06-17       Impact factor: 4.141

9.  Distinct age-associated molecular profiles in acute myeloid leukemia defined by comprehensive clinical genomic profiling.

Authors:  Katherine Tarlock; Shan Zhong; Yuting He; Rhonda Ries; Eric Severson; Mark Bailey; Samantha Morley; Sohail Balasubramanian; Rachel Erlich; Doron Lipson; Geoff A Otto; Jo-Anne Vergillo; E Anders Kolb; Jeffrey S Ross; Tariq Mughal; Philip J Stephens; Vincent Miller; Soheil Meshinchi; Jie He
Journal:  Oncotarget       Date:  2018-05-29

10.  Prognostic stratification of molecularly and clinically distinct subgroup in children with acute monocytic leukemia.

Authors:  Li-Peng Liu; Ao-Li Zhang; Min Ruan; Li-Xian Chang; Fang Liu; Xia Chen; Ben-Quan Qi; Li Zhang; Yao Zou; Yu-Mei Chen; Xiao-Juan Chen; Wen-Yu Yang; Ye Guo; Xiao-Fan Zhu
Journal:  Cancer Med       Date:  2020-03-26       Impact factor: 4.452

  10 in total

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