Literature DB >> 26366682

Clinical significance of in vivo cytarabine-induced gene expression signature in AML.

Jatinder K Lamba1, Stanley Pounds2, Xueyuan Cao2, Kristine R Crews3, Christopher R Cogle4, Neha Bhise1, Susana C Raimondi5, James R Downing5, Sharyn D Baker3, Raul C Ribeiro6, Jeffrey E Rubnitz6.   

Abstract

Despite initial remission, ∼60-70% of adult and 30% of pediatric patients experience relapse or refractory AML. Studies so far have identified base line gene expression profiles of pathogenic and prognostic significance in AML; however, the extent of change in gene expression post-initiation of treatment has not been investigated. Exposure of leukemic cells to chemotherapeutic agents such as cytarabine, a mainstay of AML chemotherapy, can trigger adaptive response by influencing leukemic cell transcriptome and, hence, development of resistance or refractory disease. It is, however, challenging to perform such a study due to lack of availability of specimens post-drug treatment. The primary objective of this study was to identify in vivo cytarabine-induced changes in leukemia cell transcriptome and to evaluate their impact on clinical outcome. The results highlight genes relevant to cytarabine resistance and support the concept of targeting cytarabine-induced genes as a means of improving response.

Entities:  

Keywords:  Cytarabine; acute myeloid leukemia; event-free survival; gene expression

Mesh:

Substances:

Year:  2015        PMID: 26366682      PMCID: PMC4794368          DOI: 10.3109/10428194.2015.1086918

Source DB:  PubMed          Journal:  Leuk Lymphoma        ISSN: 1026-8022


  33 in total

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2.  The quantitative relation between platelet count and hemorrhage in patients with acute leukemia.

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3.  Hematopoiesis controlled by distinct TIF1gamma and Smad4 branches of the TGFbeta pathway.

Authors:  Wei He; David C Dorn; Hediye Erdjument-Bromage; Paul Tempst; Malcolm A S Moore; Joan Massagué
Journal:  Cell       Date:  2006-06-02       Impact factor: 41.582

4.  Identification of predictive markers of cytarabine response in AML by integrative analysis of gene-expression profiles with multiple phenotypes.

Authors:  Jatinder K Lamba; Kristine R Crews; Stanley B Pounds; Xueyuan Cao; Varsha Gandhi; William Plunkett; Bassem I Razzouk; Vishal Lamba; Sharyn D Baker; Susana C Raimondi; Dario Campana; Ching-Hon Pui; James R Downing; Jeffrey E Rubnitz; Raul C Ribeiro
Journal:  Pharmacogenomics       Date:  2011-03       Impact factor: 2.533

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Authors:  Walter H da Costa; Mariana Rezende; Felipe C Carneiro; Rafael M Rocha; Isabela W da Cunha; Dirce M Carraro; Gustavo C Guimaraes; Stenio de Cassio Zequi
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Review 6.  Polybromo-1: the chromatin targeting subunit of the PBAF complex.

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Journal:  Biochimie       Date:  2008-12-03       Impact factor: 4.079

7.  Gene expression profiling of pediatric acute myelogenous leukemia.

Authors:  Mary E Ross; Rami Mahfouz; Mihaela Onciu; Hsi-Che Liu; Xiaodong Zhou; Guangchun Song; Sheila A Shurtleff; Stanley Pounds; Cheng Cheng; Jing Ma; Raul C Ribeiro; Jeffrey E Rubnitz; Kevin Girtman; W Kent Williams; Susana C Raimondi; Der-Cherng Liang; Lee-Yung Shih; Ching-Hon Pui; James R Downing
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8.  Tif1γ regulates the TGF-β1 receptor and promotes physiological aging of hematopoietic stem cells.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-07       Impact factor: 11.205

9.  Risk of developing chronic lymphocytic leukemia is influenced by HLA-A class I variation.

Authors:  M C Di Bernardo; P Broderick; S Harris; M J S Dyer; E Matutes; C Dearden; D Catovsky; R S Houlston
Journal:  Leukemia       Date:  2012-07-02       Impact factor: 11.528

10.  Identification of Bruton's tyrosine kinase as a therapeutic target in acute myeloid leukemia.

Authors:  Stuart A Rushworth; Megan Y Murray; Lyubov Zaitseva; Kristian M Bowles; David J MacEwan
Journal:  Blood       Date:  2013-12-04       Impact factor: 22.113

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  4 in total

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Journal:  Bone Marrow Transplant       Date:  2021-10-13       Impact factor: 5.483

2.  A genomics-informed computational biology platform prospectively predicts treatment responses in AML and MDS patients.

Authors:  Leylah M Drusbosky; Neeraj Kumar Singh; Kimberly E Hawkins; Cesia Salan; Madeleine Turcotte; Elizabeth A Wise; Amy Meacham; Vindhya Vijay; Glenda G Anderson; Charlie C Kim; Saumya Radhakrishnan; Yashaswini Ullal; Anay Talawdekar; Huzaifa Sikora; Prashant Nair; Arati Khanna-Gupta; Taher Abbasi; Shireen Vali; Subharup Guha; Nosha Farhadfar; Hemant S Murthy; Biljana N Horn; Helen L Leather; Paul Castillo; Caitlin Tucker; Christina Cline; Leslie Pettiford; Jatinder K Lamba; Jan S Moreb; Randy A Brown; Maxim Norkin; John W Hiemenz; Jack W Hsu; William B Slayton; John R Wingard; Christopher R Cogle
Journal:  Blood Adv       Date:  2019-06-25

3.  Genome-wide association analysis identifies SNPs predictive of in vitro leukemic cell sensitivity to cytarabine in pediatric AML.

Authors:  Salma A Bargal; Roya Rafiee; Kristine R Crews; Huiyun Wu; Xueyuan Cao; Jeffrey E Rubnitz; Raul C Ribeiro; James R Downing; Stanley B Pounds; Jatinder K Lamba
Journal:  Oncotarget       Date:  2018-10-09

4.  Integrated nuclear proteomics and transcriptomics identifies S100A4 as a therapeutic target in acute myeloid leukemia.

Authors:  Bader Alanazi; Chinmay R Munje; Namrata Rastogi; Andrew J K Williamson; Samuel Taylor; Paul S Hole; Marie Hodges; Michelle Doyle; Sarah Baker; Amanda F Gilkes; Steven Knapper; Andrew Pierce; Anthony D Whetton; Richard L Darley; Alex Tonks
Journal:  Leukemia       Date:  2019-10-14       Impact factor: 11.528

  4 in total

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