Literature DB >> 24957142

A novel integrated cytogenetic and genomic classification refines risk stratification in pediatric acute lymphoblastic leukemia.

Anthony V Moorman1, Amir Enshaei1, Claire Schwab1, Rachel Wade2, Lucy Chilton1, Alannah Elliott1, Stacey Richardson1, Jeremy Hancock3, Sally E Kinsey4, Christopher D Mitchell5, Nicholas Goulden6, Ajay Vora7, Christine J Harrison1.   

Abstract

Recent genomic studies have provided a refined genetic map of acute lymphoblastic leukemia (ALL) and increased the number of potential prognostic markers. Therefore, we integrated copy-number alteration data from the 8 most commonly deleted genes, subordinately, with established chromosomal abnormalities to derive a 2-tier genetic classification. The classification was developed using 809 ALL97/99 patients and validated using 742 United Kingdom (UK)ALL2003 patients. Good-risk (GR) genetic features included ETV6-RUNX1, high hyperdiploidy, normal copy-number status for all 8 genes, isolated deletions affecting ETV6/PAX5/BTG1, and ETV6 deletions with a single additional deletion of BTG1/PAX5/CDKN2A/B. All other genetic features were classified as poor risk (PR). Three-quarters of UKALL2003 patients had a GR genetic profile and a significantly improved event-free survival (EFS) (94%) compared with patients with a PR genetic profile (79%). This difference was driven by a lower relapse rate (4% vs 17%), was seen across all patient subgroups, and was independent of other risk factors. Even genetic GR patients with minimal residual disease (>0.01%) at day 29 had an EFS in excess of 90%. In conclusion, the integration of genomic and cytogenetic data defines 2 subgroups with distinct responses to treatment and identifies a large subset of children suitable for treatment deintensification.
© 2014 by The American Society of Hematology.

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Year:  2014        PMID: 24957142     DOI: 10.1182/blood-2014-03-562918

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


  68 in total

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Journal:  Transl Pediatr       Date:  2015-04

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Journal:  Blood       Date:  2017-04-13       Impact factor: 22.113

Review 3.  Updates in the Pathology of Precursor Lymphoid Neoplasms in the Revised Fourth Edition of the WHO Classification of Tumors of Hematopoietic and Lymphoid Tissues.

Authors:  Christopher Wenzinger; Eli Williams; Alejandro A Gru
Journal:  Curr Hematol Malig Rep       Date:  2018-08       Impact factor: 3.952

Review 4.  Personal tumor antigens in blood malignancies: genomics-directed identification and targeting.

Authors:  Livius Penter; Catherine J Wu
Journal:  J Clin Invest       Date:  2020-04-01       Impact factor: 14.808

5.  TP53 Germline Variations Influence the Predisposition and Prognosis of B-Cell Acute Lymphoblastic Leukemia in Children.

Authors:  Maoxiang Qian; Xueyuan Cao; Meenakshi Devidas; Wenjian Yang; Cheng Cheng; Yunfeng Dai; Andrew Carroll; Nyla A Heerema; Hui Zhang; Takaya Moriyama; Julie M Gastier-Foster; Heng Xu; Elizabeth Raetz; Eric Larsen; Naomi Winick; W Paul Bowman; Paul L Martin; Elaine R Mardis; Robert Fulton; Gerard Zambetti; Michael Borowitz; Brent Wood; Kim E Nichols; William L Carroll; Ching-Hon Pui; Charles G Mullighan; William E Evans; Stephen P Hunger; Mary V Relling; Mignon L Loh; Jun J Yang
Journal:  J Clin Oncol       Date:  2018-01-04       Impact factor: 44.544

Review 6.  Inherited genetic variation in childhood acute lymphoblastic leukemia.

Authors:  Takaya Moriyama; Mary V Relling; Jun J Yang
Journal:  Blood       Date:  2015-05-21       Impact factor: 22.113

7.  Molecular profiling of gene copy number abnormalities in key regulatory genes in high-risk B-lineage acute lymphoblastic leukemia: frequency and their association with clinicopathological findings in Indian patients.

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Journal:  Med Oncol       Date:  2017-04-11       Impact factor: 3.064

8.  Prognostic significance of copy number alterations detected by multi-link probe amplification of multiple genes in adult acute lymphoblastic leukemia.

Authors:  Qiuyun Fang; Tian Yuan; Yan Li; Juan Feng; Xiaoyuan Gong; Qinghua Li; Xingli Zhao; Kaiqi Liu; Kejing Tang; Zheng Tian; Qi Zhang; Ying Wang; Bingcheng Liu; Min Wang; Kun Ru; Jianxiang Wang; Yingchang Mi
Journal:  Oncol Lett       Date:  2018-02-07       Impact factor: 2.967

9.  Hyperhaploidy is a novel high-risk cytogenetic subgroup in multiple myeloma.

Authors:  J R Sawyer; E Tian; J D Shaughnessy; J Epstein; C M Swanson; C Stangeby; C L Hale; L Parr; M Lynn; G Sammartino; J L Lukacs; C Stein; C Bailey; M Zangari; F E Davies; F Van Rhee; B Barlogie; G J Morgan
Journal:  Leukemia       Date:  2016-10-03       Impact factor: 11.528

10.  Minimal residual disease assessed by multi-parameter flow cytometry is highly prognostic in adult patients with acute lymphoblastic leukaemia.

Authors:  Farhad Ravandi; Jeffrey L Jorgensen; Susan M O'Brien; Elias Jabbour; Deborah A Thomas; Gautam Borthakur; Rebecca Garris; Xuelin Huang; Guillermo Garcia-Manero; Jan A Burger; Alessandra Ferrajoli; William Wierda; Tapan Kadia; Nitin Jain; Sa A Wang; Sergei Konoplev; Partow Kebriaei; Richard E Champlin; Deborah McCue; Zeev Estrov; Jorge E Cortes; Hagop M Kantarjian
Journal:  Br J Haematol       Date:  2015-10-22       Impact factor: 6.998

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