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CyTOF of 27 DLBCLs

Diffuse large B-cell lymphoma (DLBCL) is the most common histologic subtype of non-Hodgkin lymphoma and is notorious for its clinical heterogeneity. Patient outcomes can be predicted by cell-of-origin (COO) classification, demonstrating that the underlying transcriptional signature of malignant B-cells informs biological behavior in the context of standard combination chemotherapy regimens. In the current study, we used mass cytometry (CyTOF) to examine tumor phenotypes at the protein level with single cell resolution in a collection of 27 diagnostic DLBCL biopsy specimens from treatment naïve patients. We found that malignant B-cells from each patient occupied unique regions in 37-dimensional phenotypic space with no apparent clustering of samples into discrete subtypes. Interestingly, variable MHC class II expression was found to be the greatest contributor to phenotypic diversity. Within individual tumors, a subset of cases showed multiple phenotypic subpopulations, and in one case we were able to demonstrate direct correspondence between protein-level phenotypic subsets and DNA mutation-defined subclones. In summary, CyTOF analysis can resolve both inter- and intra-tumoral heterogeneity among primary samples, and reveals that each case of DLBCL is unique and may be comprised of multiple, genetically distinct subclones.

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DUO:0000004
version: 2019-01-07

no restriction

This data use permission indicates there is no restriction on use.

DUO:0000012
version: 2021-02-23

research specific restrictions

This data use modifier indicates that use is limited to studies of a certain research type.

DUO:0000025
version: 2021-02-23

time limit on use

This data use modifier indicates that use is approved for a specific number of months.

BC Cancer, part of the Provincial Health Services Authority - Data Access Policy

Access to this data is controlled. There are a number of steps that a researcher must take to obtain access to this data, including execution of a Data Access Agreement between the institutions. The process is overseen by the Technology Development Office; please contact our general email address TDOadmin@phsa.ca. Please only click the "request data" button on the EGA website after a Data Access Agreement is fully executed.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001003860 Other

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
EGAF00002799076 bam 129.0 MB Report
EGAF00002799077 bam 97.5 MB Report
EGAF00002799078 bam 126.1 MB Report
EGAF00002799079 bam 125.5 MB Report
EGAF00002799080 bam 127.2 MB Report
EGAF00002799081 bam 22.4 MB Report
EGAF00002799082 bam 14.8 MB Report
EGAF00002799083 bam 13.4 MB Report
EGAF00002799084 bam 15.0 MB Report
EGAF00002799085 bam 208.4 MB Report
EGAF00002799086 bam 247.6 MB Report
EGAF00002799087 bam 230.0 MB Report
EGAF00002799088 bam 247.5 MB Report
EGAF00002799089 bam 190.7 MB Report
EGAF00002799090 bam 3.2 GB Report
EGAF00002799091 bam 2.7 GB Report
EGAF00002799092 bam 2.8 GB Report
17 Files (10.5 GB)