Literature DB >> 31739201

Two iPSC lines generated from the bone marrow of a relapsed/refractory AML patient display normal karyotypes and myeloid differentiation potential.

Amanda E Yamasaki1, Nicholas E King2, Hiroko Matsui3, Kristen Jepsen3, Athanasia D Panopoulos4.   

Abstract

Using iPSCs to study cancer has been complicated by the fact that many cancer cells are difficult to reprogram, which has been attributed to the genomic abnormalities present. Acute Myeloid Leukemia (AML) is a complex disease that presents with various types of genomic aberrations that affect prognosis. Here we reprogrammed CD34+ cells from an AML patient containing a rare der(7)t(7;13) translocation associated with poor prognosis, who had relapsed and was refractory to current treatments. The generated AML-iPSCs displayed normal karyotypes and myeloid differentiation potential. These findings have implications for modeling and treating AML disease.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Acute Myeloid Leukemia; Bone marrow cells; Disease modeling; Induced pluripotent stem cells; Reprogramming

Mesh:

Year:  2019        PMID: 31739201     DOI: 10.1016/j.scr.2019.101587

Source DB:  PubMed          Journal:  Stem Cell Res        ISSN: 1873-5061            Impact factor:   2.020


  4 in total

Review 1.  Developing Bottom-Up Induced Pluripotent Stem Cell Derived Solid Tumor Models Using Precision Genome Editing Technologies.

Authors:  Kelsie L Becklin; Garrett M Draper; Rebecca A Madden; Mitchell G Kluesner; Tomoyuki Koga; Miller Huang; William A Weiss; Logan G Spector; David A Largaespada; Branden S Moriarity; Beau R Webber
Journal:  CRISPR J       Date:  2022-08

Review 2.  Conditional reprogramming: Modeling urological cancer and translation to clinics.

Authors:  Wei Liu; Lingao Ju; Songtao Cheng; Gang Wang; Kaiyu Qian; Xuefeng Liu; Yu Xiao; Xinghuan Wang
Journal:  Clin Transl Med       Date:  2020-06-05

Review 3.  Harnessing the Power of Induced Pluripotent Stem Cells and Gene Editing Technology: Therapeutic Implications in Hematological Malignancies.

Authors:  Ishnoor Sidhu; Sonali P Barwe; Raju K Pillai; Anilkumar Gopalakrishnapillai
Journal:  Cells       Date:  2021-10-09       Impact factor: 6.600

4.  Identification of MAEL as a promoter for the drug resistance model of iPSCs derived from T-ALL.

Authors:  Xuemei Chen; Feiqiu Wen; Zhu Li; Weiran Li; Meiling Zhou; Xizhuo Sun; Pan Zhao; Chang Zou; Tao Liu
Journal:  Cancer Med       Date:  2022-04-29       Impact factor: 4.711

  4 in total

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