A facile,branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-c

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Glucocorticoid(GC) steroid hormones are used to treat acute lymphoblastic leukemia(ALL) because of their pro-apoptotic effects in hematopoietic cells.However,not all leukemia cells are sensitive to GC,and no assay to stratify patients is available.In the GC-sensitive T-cell ALL cell line CEM-C7,auto-up-regulation of RNA transcripts for the glucocorticoid receptor(GR) correlates with increased apoptotic response.This study aimed to determine if a facile assay of GR transcript levels might be promising for stratifying ALL patients into hormone-sensitive and hormone-resistant populations.The GR transcript profiles of various lymphoid cell lines and 4 bone marrow samples from patients with T-cell ALL were analyzed using both an optimized branched DNA(bDNA) assay and a real-time quantitative reverse transcription-polymerase chain reaction assay.There were significant correlations between both assay platforms when measuring total GR(exon 5/6) transcripts in various cell lines and patient samples,but not for a probe set that detects a specific,low abundance GR transcript(exon 1A3).Our results suggest that the bDNA platform is reproducible and precise when measuring total GR transcripts and,with further development,may ultimately offer a simple clinical assay to aid in the prediction of GC-sensitivity in ALL patients. Glucocorticoid (GC) steroid hormones are used to treat acute lymphoblastic leukemia (ALL) because of their pro-apoptotic effects in hematopoietic cells. However, all leukemia cells are sensitive to GC, and no assay to stratify patients is available. In the GC -sensitive T-cell ALL cell line CEM-C7, auto-up-regulation of RNA transcripts for the glucocorticoid receptor (GR) correlates with increased apoptotic response. This study aimed to determine if a facile assay of GR transcript levels might be promising for stratifying ALL patients into hormone-sensitive and hormone-resistant populations. The GR transcript profiles of various lymphoid cell lines and 4 bone marrow samples from patients with T-cell ALL were analyzed using both an optimized branched DNA (bDNA) assay and a real- time quantitative reverse transcription-polymerase chain reaction assay. Here are significant correlations between both assay platforms when measuring total GR (exon 5/6) transcripts in various cell lines and patient sam pens, but not for a probe set that detects a specific, low abundance GR transcript (exon 1A3). Our results suggest that the bDNA platform is reproducible and precise when measuring total GR transcripts and, with further development, may ultimately offer a simple clinical assay to aid in the prediction of GC-sensitivity in ALL patients.
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