Abstract

BackgroundChronic lymphocytic leukemia (CLL) is typically regarded as an indolent B-cell malignancy. However, there is wide variability with regards to need for therapy, time to progressive disease, and treatment response. This clinical variability is due, in part, to biological heterogeneity between individual patients’ leukemias. While much has been learned about this biological variation using genomic approaches, it is unclear whether such efforts have sufficiently evaluated biological and clinical heterogeneity in CLL.MethodsTo study the extent of genomic variability in CLL and the biological and clinical attributes of genomic classification in CLL, we evaluated 893 unique CLL samples from fifteen publicly available gene expression profiling datasets. We used unsupervised approaches to divide the data into subgroups, evaluated the biological pathways and genetic aberrations that were associated with the subgroups, and compared prognostic and clinical outcome data between the subgroups.ResultsUsing an unsupervised approach, we determined that approximately 600 CLL samples are needed to define the spectrum of diversity in CLL genomic expression. We identified seven genomically-defined CLL subgroups that have distinct biological properties, are associated with specific chromosomal deletions and amplifications, and have marked differences in molecular prognostic markers and clinical outcomes.ConclusionsOur results indicate that investigations focusing on small numbers of patient samples likely provide a biased outlook on CLL biology. These findings may have important implications in identifying patients who should be treated with specific targeted therapies, which could have efficacy against CLL cells that rely on specific biological pathways.

Highlights

  • Chronic lymphocytic leukemia (CLL) is a generally indolent Bcell malignancy

  • The marked clinical and biological heterogeneity of CLL and limited numbers of subjects in individual studies may make it difficult to fully and accurately assess genomic heterogeneity in CLL. To address this methodically and objectively, we evaluated publicly available CLL gene expression datasets in concert in order to assess the number of samples required to capture genomic heterogeneity in CLL and to determine if CLL subgroups defined by gene expression profiling have biological and clinical relevance

  • We focused on copy number variation found in two or more CLL samples

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Summary

Introduction

Chronic lymphocytic leukemia (CLL) is a generally indolent Bcell malignancy. since the time that clinical staging systems were developed [1,2], it has been appreciated that there is clinical variability between CLL patients. Efforts to better characterize this variability led to the identification and extensive validation of numerous molecular prognostic markers [3,4,5,6,7]. Research in this field has highlighted the concept that molecular markers can link biology with clinical outcomes. There is wide variability with regards to need for therapy, time to progressive disease, and treatment response. This clinical variability is due, in part, to biological heterogeneity between individual patients’ leukemias. While much has been learned about this biological variation using genomic approaches, it is unclear whether such efforts have sufficiently evaluated biological and clinical heterogeneity in CLL

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