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A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia

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-C...

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Autores principales: Schwartz, Jason R., Sarvaiya, Purvaba J., Leiva, Lily E., Velez, Maria C., Singleton, Tammuella C., Yu, Lolie C., Vedeckis, Wayne V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sun Yat-sen University Cancer Center 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777508/
https://www.ncbi.nlm.nih.gov/pubmed/22739263
http://dx.doi.org/10.5732/cjc.012.10044
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author Schwartz, Jason R.
Sarvaiya, Purvaba J.
Leiva, Lily E.
Velez, Maria C.
Singleton, Tammuella C.
Yu, Lolie C.
Vedeckis, Wayne V.
author_facet Schwartz, Jason R.
Sarvaiya, Purvaba J.
Leiva, Lily E.
Velez, Maria C.
Singleton, Tammuella C.
Yu, Lolie C.
Vedeckis, Wayne V.
author_sort Schwartz, Jason R.
collection PubMed
description 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.
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spelling pubmed-37775082013-12-11 A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia Schwartz, Jason R. Sarvaiya, Purvaba J. Leiva, Lily E. Velez, Maria C. Singleton, Tammuella C. Yu, Lolie C. Vedeckis, Wayne V. Chin J Cancer Original Article 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. Sun Yat-sen University Cancer Center 2012-08 /pmc/articles/PMC3777508/ /pubmed/22739263 http://dx.doi.org/10.5732/cjc.012.10044 Text en Chinese Journal of Cancer http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission.
spellingShingle Original Article
Schwartz, Jason R.
Sarvaiya, Purvaba J.
Leiva, Lily E.
Velez, Maria C.
Singleton, Tammuella C.
Yu, Lolie C.
Vedeckis, Wayne V.
A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia
title A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia
title_full A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia
title_fullStr A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia
title_full_unstemmed A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia
title_short A facile, branched DNA assay to quantitatively measure glucocorticoid receptor auto-regulation in T-cell acute lymphoblastic leukemia
title_sort facile, branched dna assay to quantitatively measure glucocorticoid receptor auto-regulation in t-cell acute lymphoblastic leukemia
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777508/
https://www.ncbi.nlm.nih.gov/pubmed/22739263
http://dx.doi.org/10.5732/cjc.012.10044
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