Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

BACKGROUND: In cancer, normal epigenetic patterns are disturbed and contribute to gene expression changes, disease onset, and progression. The cancer epigenome is composed of the epigenetic patterns present in the tumor-initiating cell at the time of transformation, and the tumor-specific epigenetic alterations that are acquired during tumor initiation and progression. The precise dissection of these two components of the tumor epigenome will facilitate a better understanding of the biological mechanisms underlying malignant transformation. Chronic lymphocytic leukemia (CLL) originates from differentiating B cells, which undergo extensive epigenetic programming. This poses the challenge to precisely determine the epigenomic ground state of the cell-of-origin in order to identify CLL-specific epigenetic aberrations.

METHODS: We developed a linear regression model, methylome-based cell-of-origin modeling (Methyl-COOM), to map the cell-of-origin for individual CLL patients based on the continuum of epigenomic changes during normal B cell differentiation.

RESULTS: Methyl-COOM accurately maps the cell-of-origin of CLL and identifies CLL-specific aberrant DNA methylation events that are not confounded by physiologic epigenetic B cell programming. Furthermore, Methyl-COOM unmasks abnormal action of transcription factors, altered super-enhancer activities, and aberrant transcript expression in CLL. Among the aberrantly regulated transcripts were many genes that have previously been implicated in T cell biology. Flow cytometry analysis of these markers confirmed their aberrant expression on malignant B cells at the protein level.

CONCLUSIONS: Methyl-COOM analysis of CLL identified disease-specific aberrant gene regulation. The aberrantly expressed genes identified in this study might play a role in immune-evasion in CLL and might serve as novel targets for immunotherapy approaches. In summary, we propose a novel framework for in silico modeling of reference DNA methylomes and for the identification of cancer-specific epigenetic changes, a concept that can be broadly applied to other human malignancies.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Genome medicine - 12(2020), 1 vom: 18. März, Seite 29

Sprache:

Englisch

Beteiligte Personen:

Wierzbinska, Justyna A [VerfasserIn]
Toth, Reka [VerfasserIn]
Ishaque, Naveed [VerfasserIn]
Rippe, Karsten [VerfasserIn]
Mallm, Jan-Philipp [VerfasserIn]
Klett, Lara C [VerfasserIn]
Mertens, Daniel [VerfasserIn]
Zenz, Thorsten [VerfasserIn]
Hielscher, Thomas [VerfasserIn]
Seifert, Marc [VerfasserIn]
Küppers, Ralf [VerfasserIn]
Assenov, Yassen [VerfasserIn]
Lutsik, Pavlo [VerfasserIn]
Stilgenbauer, Stephan [VerfasserIn]
Roessner, Philipp M [VerfasserIn]
Seiffert, Martina [VerfasserIn]
Byrd, John [VerfasserIn]
Oakes, Christopher C [VerfasserIn]
Plass, Christoph [VerfasserIn]
Lipka, Daniel B [VerfasserIn]

Links:

Volltext

Themen:

Cell-of-origin
Chronic lymphocytic leukemia
DNA methylation
Journal Article
Research Support, Non-U.S. Gov't
T cell antigens
Transcription Factors

Anmerkungen:

Date Completed 04.01.2021

Date Revised 04.01.2021

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s13073-020-00724-7

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM307749746