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Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients

BACKGROUND: Studies have not systematically compared the ability to verify performance of prognostic transcripts in paired bulk mononuclear cells versus viable CD34-expressing leukemic blasts from patients with acute myeloid leukemia. We hypothesized that examining the homogenous leukemic blasts wil...

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Autores principales: Pogosova-Agadjanyan, Era L., Hua, Xing, Othus, Megan, Appelbaum, Frederick R., Chauncey, Thomas R., Erba, Harry P., Fitzgibbon, Matthew P., Jenkins, Isaac C., Fang, Min, Lee, Stanley C., Moseley, Anna, Naru, Jasmine, Radich, Jerald P., Smith, Jenny L., Willborg, Brooke E., Willman, Cheryl L., Wu, Feinan, Meshinchi, Soheil, Stirewalt, Derek L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022072/
https://www.ncbi.nlm.nih.gov/pubmed/36927800
http://dx.doi.org/10.1186/s40364-023-00461-0
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author Pogosova-Agadjanyan, Era L.
Hua, Xing
Othus, Megan
Appelbaum, Frederick R.
Chauncey, Thomas R.
Erba, Harry P.
Fitzgibbon, Matthew P.
Jenkins, Isaac C.
Fang, Min
Lee, Stanley C.
Moseley, Anna
Naru, Jasmine
Radich, Jerald P.
Smith, Jenny L.
Willborg, Brooke E.
Willman, Cheryl L.
Wu, Feinan
Meshinchi, Soheil
Stirewalt, Derek L.
author_facet Pogosova-Agadjanyan, Era L.
Hua, Xing
Othus, Megan
Appelbaum, Frederick R.
Chauncey, Thomas R.
Erba, Harry P.
Fitzgibbon, Matthew P.
Jenkins, Isaac C.
Fang, Min
Lee, Stanley C.
Moseley, Anna
Naru, Jasmine
Radich, Jerald P.
Smith, Jenny L.
Willborg, Brooke E.
Willman, Cheryl L.
Wu, Feinan
Meshinchi, Soheil
Stirewalt, Derek L.
author_sort Pogosova-Agadjanyan, Era L.
collection PubMed
description BACKGROUND: Studies have not systematically compared the ability to verify performance of prognostic transcripts in paired bulk mononuclear cells versus viable CD34-expressing leukemic blasts from patients with acute myeloid leukemia. We hypothesized that examining the homogenous leukemic blasts will yield different biological information and may improve prognostic performance of expression biomarkers. METHODS: To assess the impact of cellular heterogeneity on expression biomarkers in acute myeloid leukemia, we systematically examined paired mononuclear cells and viable CD34-expressing leukemic blasts from SWOG diagnostic specimens. After enrichment, patients were assigned into discovery and validation cohorts based on availability of extracted RNA. Analyses of RNA sequencing data examined how enrichment impacted differentially expressed genes associated with pre-analytic variables, patient characteristics, and clinical outcomes. RESULTS: Blast enrichment yielded significantly different expression profiles and biological pathways associated with clinical characteristics (e.g., cytogenetics). Although numerous differentially expressed genes were associated with clinical outcomes, most lost their prognostic significance in the mononuclear cells and blasts after adjusting for age and ELN risk, with only 11 genes remaining significant for overall survival in both cell populations (CEP70, COMMD7, DNMT3B, ECE1, LNX2, NEGR1, PIK3C2B, SEMA4D, SMAD2, TAF8, ZNF444). To examine the impact of enrichment on biomarker verification, these 11 candidate biomarkers were examined by quantitative RT/PCR in the validation cohort. After adjusting for ELN risk and age, expression of 4 genes (CEP70, DNMT3B, ECE1, and PIK3CB) remained significantly associated with overall survival in the blasts, while none met statistical significance in mononuclear cells. CONCLUSIONS: This study provides insights into biological information gained/lost by examining viable CD34-expressing leukemic blasts versus mononuclear cells from the same patient and shows an improved verification rate for expression biomarkers in blasts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-023-00461-0.
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spelling pubmed-100220722023-03-18 Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients Pogosova-Agadjanyan, Era L. Hua, Xing Othus, Megan Appelbaum, Frederick R. Chauncey, Thomas R. Erba, Harry P. Fitzgibbon, Matthew P. Jenkins, Isaac C. Fang, Min Lee, Stanley C. Moseley, Anna Naru, Jasmine Radich, Jerald P. Smith, Jenny L. Willborg, Brooke E. Willman, Cheryl L. Wu, Feinan Meshinchi, Soheil Stirewalt, Derek L. Biomark Res Research BACKGROUND: Studies have not systematically compared the ability to verify performance of prognostic transcripts in paired bulk mononuclear cells versus viable CD34-expressing leukemic blasts from patients with acute myeloid leukemia. We hypothesized that examining the homogenous leukemic blasts will yield different biological information and may improve prognostic performance of expression biomarkers. METHODS: To assess the impact of cellular heterogeneity on expression biomarkers in acute myeloid leukemia, we systematically examined paired mononuclear cells and viable CD34-expressing leukemic blasts from SWOG diagnostic specimens. After enrichment, patients were assigned into discovery and validation cohorts based on availability of extracted RNA. Analyses of RNA sequencing data examined how enrichment impacted differentially expressed genes associated with pre-analytic variables, patient characteristics, and clinical outcomes. RESULTS: Blast enrichment yielded significantly different expression profiles and biological pathways associated with clinical characteristics (e.g., cytogenetics). Although numerous differentially expressed genes were associated with clinical outcomes, most lost their prognostic significance in the mononuclear cells and blasts after adjusting for age and ELN risk, with only 11 genes remaining significant for overall survival in both cell populations (CEP70, COMMD7, DNMT3B, ECE1, LNX2, NEGR1, PIK3C2B, SEMA4D, SMAD2, TAF8, ZNF444). To examine the impact of enrichment on biomarker verification, these 11 candidate biomarkers were examined by quantitative RT/PCR in the validation cohort. After adjusting for ELN risk and age, expression of 4 genes (CEP70, DNMT3B, ECE1, and PIK3CB) remained significantly associated with overall survival in the blasts, while none met statistical significance in mononuclear cells. CONCLUSIONS: This study provides insights into biological information gained/lost by examining viable CD34-expressing leukemic blasts versus mononuclear cells from the same patient and shows an improved verification rate for expression biomarkers in blasts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-023-00461-0. BioMed Central 2023-03-16 /pmc/articles/PMC10022072/ /pubmed/36927800 http://dx.doi.org/10.1186/s40364-023-00461-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Pogosova-Agadjanyan, Era L.
Hua, Xing
Othus, Megan
Appelbaum, Frederick R.
Chauncey, Thomas R.
Erba, Harry P.
Fitzgibbon, Matthew P.
Jenkins, Isaac C.
Fang, Min
Lee, Stanley C.
Moseley, Anna
Naru, Jasmine
Radich, Jerald P.
Smith, Jenny L.
Willborg, Brooke E.
Willman, Cheryl L.
Wu, Feinan
Meshinchi, Soheil
Stirewalt, Derek L.
Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients
title Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients
title_full Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients
title_fullStr Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients
title_full_unstemmed Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients
title_short Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients
title_sort verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022072/
https://www.ncbi.nlm.nih.gov/pubmed/36927800
http://dx.doi.org/10.1186/s40364-023-00461-0
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