Literature DB >> 10352329

Transcripts of immunoglobulin germline mu: an amplified myeloid and B-lymphoid common gene program in various leukemias.

L Dong1, M Guo, S M Huang, S Q Jia, H Wang.   

Abstract

To investigate the clinical implications of germline C mu transcription, the splice region between the 3' end of the enhancer and the first exon of immunoglobulin germline mu; was analyzed by RT-PCR in 63 samples from 59 patients with leukemia. Immunophenotypes of 33 samples from patients with acute leukemia were analyzed using a panel of these monoclonal antibodies: anti-immature/stem cell (HLA-DR, CD34); anti-mature myeloid (CD33, CD15); anti-T lymphoid (CD2, CD3, CD5, CD7, CD8), and anti-B lymphoid (CD10, CD19, CD20). Of the 63 samples, 33 (52%) contained germline C mu transcripts: 2/2 patients with chronic lymphocytic leukemia; 17/26 (65.4%) patients with acute myeloblastic leukemia; all 4 patients with chronic myelogenous leukemia in blast crisis and 1 in accelerated phase; 9/12 patients with acute lymphocytic leukemia. A clear correlation between germline transcripts and HLA-DR expression was observed among germline-positive cases (p < 0. 01). C mu expression and response to therapy clearly indicated that germline-mu-positive leukemia patients responded poorly to chemotherapy and had a worse clinical prognosis compared with C mu-negative patients (p < 0.01). After two courses of chemotherapy, 7/9 C mu-negative patients achieved complete remission compared to only 7/29 C mu-positive patients (p < 0.01). We conclude that the gene-regulating immunoglobulin germline C mu may be amplified in myeloid and B-lymphoid cells during leukemogenesis. Such genetic changes may be correlated with cellular terminal differentiation injury, resistance to chemotherapy and uncontrolled malignant cell proliferation.

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Year:  1999        PMID: 10352329     DOI: 10.1159/000040936

Source DB:  PubMed          Journal:  Acta Haematol        ISSN: 0001-5792            Impact factor:   2.195


  1 in total

1.  Gene isoforms as expression-based biomarkers predictive of drug response in vitro.

Authors:  Zhaleh Safikhani; Petr Smirnov; Kelsie L Thu; Jennifer Silvester; Nehme El-Hachem; Rene Quevedo; Mathieu Lupien; Tak W Mak; David Cescon; Benjamin Haibe-Kains
Journal:  Nat Commun       Date:  2017-10-24       Impact factor: 14.919

  1 in total

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