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Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia

BACKGROUND: Repeat elements constitute a large proportion of the human genome and recent evidence indicates that repeat element expression has functional roles in both physiological and pathological states. Specifically for cancer, transcription of endogenous retrotransposons is often suppressed to...

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Autores principales: Onishi-Seebacher, M., Erikson, G., Sawitzki, Z., Ryan, D., Greve, G., Lübbert, M., Jenuwein, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234671/
https://www.ncbi.nlm.nih.gov/pubmed/34174884
http://dx.doi.org/10.1186/s12920-021-01003-z
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author Onishi-Seebacher, M.
Erikson, G.
Sawitzki, Z.
Ryan, D.
Greve, G.
Lübbert, M.
Jenuwein, T.
author_facet Onishi-Seebacher, M.
Erikson, G.
Sawitzki, Z.
Ryan, D.
Greve, G.
Lübbert, M.
Jenuwein, T.
author_sort Onishi-Seebacher, M.
collection PubMed
description BACKGROUND: Repeat elements constitute a large proportion of the human genome and recent evidence indicates that repeat element expression has functional roles in both physiological and pathological states. Specifically for cancer, transcription of endogenous retrotransposons is often suppressed to attenuate an anti-tumor immune response, whereas aberrant expression of heterochromatin-derived satellite RNA has been identified as a tumor driver. These insights demonstrate separate functions for the dysregulation of distinct repeat subclasses in either the attenuation or progression of human solid tumors. For hematopoietic malignancies, such as Acute Myeloid Leukemia (AML), only very few studies on the expression/dysregulation of repeat elements were done. METHODS: To study the expression of repeat elements in AML, we performed total-RNA sequencing of healthy CD34 + cells and of leukemic blast cells from primary AML patient material. We also developed an integrative bioinformatic approach that can quantify the expression of repeat transcripts from all repeat subclasses (SINE/ALU, LINE, ERV and satellites) in relation to the expression of gene and other non-repeat transcripts (i.e. R/G ratio). This novel approach can be used as an instructive signature for repeat element expression and has been extended to the analysis of poly(A)-RNA sequencing datasets from Blueprint and TCGA consortia that together comprise 120 AML patient samples. RESULTS: We identified that repeat element expression is generally down-regulated during hematopoietic differentiation and that relative changes in repeat to gene expression can stratify risk prediction of AML patients and correlate with overall survival probabilities. A high R/G ratio identifies AML patient subgroups with a favorable prognosis, whereas a low R/G ratio is prevalent in AML patient subgroups with a poor prognosis. CONCLUSIONS: We developed an integrative bioinformatic approach that defines a general model for the analysis of repeat element dysregulation in physiological and pathological development. We find that changes in repeat to gene expression (i.e. R/G ratios) correlate with hematopoietic differentiation and can sub-stratify AML patients into low-risk and high-risk subgroups. Thus, the definition of a R/G ratio can serve as a valuable biomarker for AML and could also provide insights into differential patient response to epigenetic drug treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01003-z.
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spelling pubmed-82346712021-06-28 Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia Onishi-Seebacher, M. Erikson, G. Sawitzki, Z. Ryan, D. Greve, G. Lübbert, M. Jenuwein, T. BMC Med Genomics Research Article BACKGROUND: Repeat elements constitute a large proportion of the human genome and recent evidence indicates that repeat element expression has functional roles in both physiological and pathological states. Specifically for cancer, transcription of endogenous retrotransposons is often suppressed to attenuate an anti-tumor immune response, whereas aberrant expression of heterochromatin-derived satellite RNA has been identified as a tumor driver. These insights demonstrate separate functions for the dysregulation of distinct repeat subclasses in either the attenuation or progression of human solid tumors. For hematopoietic malignancies, such as Acute Myeloid Leukemia (AML), only very few studies on the expression/dysregulation of repeat elements were done. METHODS: To study the expression of repeat elements in AML, we performed total-RNA sequencing of healthy CD34 + cells and of leukemic blast cells from primary AML patient material. We also developed an integrative bioinformatic approach that can quantify the expression of repeat transcripts from all repeat subclasses (SINE/ALU, LINE, ERV and satellites) in relation to the expression of gene and other non-repeat transcripts (i.e. R/G ratio). This novel approach can be used as an instructive signature for repeat element expression and has been extended to the analysis of poly(A)-RNA sequencing datasets from Blueprint and TCGA consortia that together comprise 120 AML patient samples. RESULTS: We identified that repeat element expression is generally down-regulated during hematopoietic differentiation and that relative changes in repeat to gene expression can stratify risk prediction of AML patients and correlate with overall survival probabilities. A high R/G ratio identifies AML patient subgroups with a favorable prognosis, whereas a low R/G ratio is prevalent in AML patient subgroups with a poor prognosis. CONCLUSIONS: We developed an integrative bioinformatic approach that defines a general model for the analysis of repeat element dysregulation in physiological and pathological development. We find that changes in repeat to gene expression (i.e. R/G ratios) correlate with hematopoietic differentiation and can sub-stratify AML patients into low-risk and high-risk subgroups. Thus, the definition of a R/G ratio can serve as a valuable biomarker for AML and could also provide insights into differential patient response to epigenetic drug treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01003-z. BioMed Central 2021-06-26 /pmc/articles/PMC8234671/ /pubmed/34174884 http://dx.doi.org/10.1186/s12920-021-01003-z Text en © The Author(s) 2021 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 Article
Onishi-Seebacher, M.
Erikson, G.
Sawitzki, Z.
Ryan, D.
Greve, G.
Lübbert, M.
Jenuwein, T.
Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia
title Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia
title_full Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia
title_fullStr Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia
title_full_unstemmed Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia
title_short Repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia
title_sort repeat to gene expression ratios in leukemic blast cells can stratify risk prediction in acute myeloid leukemia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234671/
https://www.ncbi.nlm.nih.gov/pubmed/34174884
http://dx.doi.org/10.1186/s12920-021-01003-z
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