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Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia

Understanding the molecular and phenotypic heterogeneity of cancer is a prerequisite for effective treatment. For chronic lymphocytic leukemia (CLL), recurrent genetic driver events have been extensively cataloged, but this does not suffice to explain the disease’s diverse course. Here, we performed...

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Autores principales: Lütge, Almut, Lu, Junyan, Hüllein, Jennifer, Walther, Tatjana, Sellner, Leopold, Wu, Bian, Rosenquist, Richard, Oakes, Christopher C., Dietrich, Sascha, Huber, Wolfgang, Zenz, Thorsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Fondazione Ferrata Storti 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614035/
https://www.ncbi.nlm.nih.gov/pubmed/37226709
http://dx.doi.org/10.3324/haematol.2022.281869
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author Lütge, Almut
Lu, Junyan
Hüllein, Jennifer
Walther, Tatjana
Sellner, Leopold
Wu, Bian
Rosenquist, Richard
Oakes, Christopher C.
Dietrich, Sascha
Huber, Wolfgang
Zenz, Thorsten
author_facet Lütge, Almut
Lu, Junyan
Hüllein, Jennifer
Walther, Tatjana
Sellner, Leopold
Wu, Bian
Rosenquist, Richard
Oakes, Christopher C.
Dietrich, Sascha
Huber, Wolfgang
Zenz, Thorsten
author_sort Lütge, Almut
collection PubMed
description Understanding the molecular and phenotypic heterogeneity of cancer is a prerequisite for effective treatment. For chronic lymphocytic leukemia (CLL), recurrent genetic driver events have been extensively cataloged, but this does not suffice to explain the disease’s diverse course. Here, we performed RNA sequencing on 184 CLL patient samples. Unsupervised analysis revealed two major, orthogonal axes of gene expression variation: the first one represented the mutational status of the immunoglobulin heavy variable (IGHV) genes, and concomitantly, the three-group stratification of CLL by global DNA methylation. The second axis aligned with trisomy 12 status and affected chemokine, MAPK and mTOR signaling. We discovered non-additive effects (epistasis) of IGHV mutation status and trisomy 12 on multiple phenotypes, including the expression of 893 genes. Multiple types of epistasis were observed, including synergy, buffering, suppression and inversion, suggesting that molecular understanding of disease heterogeneity requires studying such genetic events not only individually but in combination. We detected strong differentially expressed gene signatures associated with major gene mutations and copy number aberrations including SF3B1, BRAF and TP53, as well as del(17)(p13), del(13)(q14) and del(11)(q22.3) beyond dosage effect. Our study reveals previously underappreciated gene expression signatures for the major molecular subtypes in CLL and the presence of epistasis between them.
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spelling pubmed-106140352023-10-31 Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia Lütge, Almut Lu, Junyan Hüllein, Jennifer Walther, Tatjana Sellner, Leopold Wu, Bian Rosenquist, Richard Oakes, Christopher C. Dietrich, Sascha Huber, Wolfgang Zenz, Thorsten Haematologica Article - Chronic Lymphocytic Leukemia Understanding the molecular and phenotypic heterogeneity of cancer is a prerequisite for effective treatment. For chronic lymphocytic leukemia (CLL), recurrent genetic driver events have been extensively cataloged, but this does not suffice to explain the disease’s diverse course. Here, we performed RNA sequencing on 184 CLL patient samples. Unsupervised analysis revealed two major, orthogonal axes of gene expression variation: the first one represented the mutational status of the immunoglobulin heavy variable (IGHV) genes, and concomitantly, the three-group stratification of CLL by global DNA methylation. The second axis aligned with trisomy 12 status and affected chemokine, MAPK and mTOR signaling. We discovered non-additive effects (epistasis) of IGHV mutation status and trisomy 12 on multiple phenotypes, including the expression of 893 genes. Multiple types of epistasis were observed, including synergy, buffering, suppression and inversion, suggesting that molecular understanding of disease heterogeneity requires studying such genetic events not only individually but in combination. We detected strong differentially expressed gene signatures associated with major gene mutations and copy number aberrations including SF3B1, BRAF and TP53, as well as del(17)(p13), del(13)(q14) and del(11)(q22.3) beyond dosage effect. Our study reveals previously underappreciated gene expression signatures for the major molecular subtypes in CLL and the presence of epistasis between them. Fondazione Ferrata Storti 2023-05-25 /pmc/articles/PMC10614035/ /pubmed/37226709 http://dx.doi.org/10.3324/haematol.2022.281869 Text en Copyright© 2023 Ferrata Storti Foundation https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article - Chronic Lymphocytic Leukemia
Lütge, Almut
Lu, Junyan
Hüllein, Jennifer
Walther, Tatjana
Sellner, Leopold
Wu, Bian
Rosenquist, Richard
Oakes, Christopher C.
Dietrich, Sascha
Huber, Wolfgang
Zenz, Thorsten
Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
title Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
title_full Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
title_fullStr Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
title_full_unstemmed Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
title_short Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
title_sort subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
topic Article - Chronic Lymphocytic Leukemia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614035/
https://www.ncbi.nlm.nih.gov/pubmed/37226709
http://dx.doi.org/10.3324/haematol.2022.281869
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