Exploring the nature of prediagnostic blood transcriptome markers of chronic lymphocytic leukemia by assessing their overlap with the transcriptome at the clinical stage

Jelle Vlaanderen, Max Leenders, Marc Chadeau-Hyam, Lutzen Portengen, Soterios A. Kyrtopoulos, Ingvar A. Bergdahl, Ann-Sofie Johansson, Dennie D. G. A. J. Hebels, Theo M. C. M. de Kok, Paolo Vineis, Roel C. H. Vermeulen*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Web of Science)

Abstract

Background: We recently identified 700 genes whose expression levels were predictive of chronic lymphocytic leukemia (CLL) in a genome-wide gene expression analysis of prediagnostic blood from future cases and matched controls. We hypothesized that a large fraction of these markers were likely related to early disease manifestations. Here we aim to gain a better understanding of the natural history of the identified markers by comparing results from our prediagnostic analysis, the only prediagnostic analysis to date, to results obtained from a meta-analysis of a series of publically available transcriptomics profiles obtained in incident CLL cases and controls.

Results: We observed considerable overlap between the results from our prediagnostic study and the clinical CLL signals (p-value for overlap Bonferroni significant markers 0.01; p-value for overlap nominal significant markers <2. 20e-16). We observed similar patterns with time to diagnosis and similar functional annotations for the markers that were identified in both settings compared to the markers that were only identified in the prediagnostic study. These results suggest that both gene sets operate in similar pathways.

Conclusion: An overlap exists between expression levels of genes predictive of CLL identified in prediagnostic blood and expression levels of genes associated to CLL at the clinical stage. Our analysis provides insight in a set of genes for which expression levels can be used to follow the time-course of the disease; providing an opportunity to study CLL progression in more detail in future studies.

Original languageEnglish
Article number239
Number of pages8
JournalBMC Genomics
Volume18
DOIs
Publication statusPublished - 20 Mar 2017

Keywords

  • B-cell lymphoma
  • Chronic lymphocytic leukemia
  • Transcriptomics
  • Prediagnostic study
  • Public data
  • GENE-EXPRESSION DATA
  • MOLECULAR EPIDEMIOLOGY
  • MULTIPLE-MYELOMA
  • T-CELLS
  • OPPORTUNITIES
  • UPDATE
  • CANCER
  • CLL

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