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.
- 17 samples
- DAC: EGAC00000000011
- NRES DUO:0000004 (version: 2019-01-07)no restrictionThis data use permission indicates there is no restriction on use.
- RS DUO:0000012 (version: 2021-02-23)research specific restrictionsThis data use modifier indicates that use is limited to studies of a certain research type.
- TS DUO:0000025 (version: 2021-02-23)time limit on useThis data use modifier indicates that use is approved for a specific number of months.
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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 |
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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 | Located in | |
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EGAF00002799076 | bam | 129.0 MB | ||
EGAF00002799077 | bam | 97.5 MB | ||
EGAF00002799078 | bam | 126.1 MB | ||
EGAF00002799079 | bam | 125.5 MB | ||
EGAF00002799080 | bam | 127.2 MB | ||
EGAF00002799081 | bam | 22.4 MB | ||
EGAF00002799082 | bam | 14.8 MB | ||
EGAF00002799083 | bam | 13.4 MB | ||
EGAF00002799084 | bam | 15.0 MB | ||
EGAF00002799085 | bam | 208.4 MB | ||
EGAF00002799086 | bam | 247.6 MB | ||
EGAF00002799087 | bam | 230.0 MB | ||
EGAF00002799088 | bam | 247.5 MB | ||
EGAF00002799089 | bam | 190.7 MB | ||
EGAF00002799090 | bam | 3.2 GB | ||
EGAF00002799091 | bam | 2.7 GB | ||
EGAF00002799092 | bam | 2.8 GB | ||
17 Files (10.5 GB) |