2014
DOI: 10.1016/j.leukres.2014.03.010
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Identification of B-cell lymphoma subsets by plasma protein profiling using recombinant antibody microarrays

Abstract: B-cell lymphoma (BCL) heterogeneity represents a key issue, often making the classification and clinical management of these patients challenging. In this pilot study, we outlined the first resolved view of BCL disease heterogeneity on the protein level by deciphering disease-associated plasma biomarkers, specific for chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and mantle cell lymphoma, using recombinant antibody microarrays targeting mainly immunoregulatory proteins. The … Show more

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Cited by 15 publications
(14 citation statements)
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“…( A ) Subdivision of DLBCL patients into subgroups DLBCLa and DLBCLb based on a 23 biomarker signature identified in our previous study. 1 ( B ) Kaplan–Meier plot demonstrating OS of DLBCLa and DLBCLb, log-rank P =0.07 for OS. ( C ) Kaplan–Meier plot demonstrating FFS of DLBCLa and DLBCLb, log-rank P =0.05 for FFS.…”
Section: Figurementioning
confidence: 99%
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“…( A ) Subdivision of DLBCL patients into subgroups DLBCLa and DLBCLb based on a 23 biomarker signature identified in our previous study. 1 ( B ) Kaplan–Meier plot demonstrating OS of DLBCLa and DLBCLb, log-rank P =0.07 for OS. ( C ) Kaplan–Meier plot demonstrating FFS of DLBCLa and DLBCLb, log-rank P =0.05 for FFS.…”
Section: Figurementioning
confidence: 99%
“…On the basis of plasma samples taken at diagnosis, and the protein signature of 23 plasma proteins with prognostic impact found in a previous pilot study from our group, 1 patients in the present study could be divided into two distinct subgroups, denoted DLBCLa and DLBCLb, by unsupervised hierarchical clustering. The proteins in the profile included immunoregulatory proteins such as T-helper cytokines, chemotactic proteins and complement factors.…”
mentioning
confidence: 96%
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“…The protein arrays lead to detection of possible novel biomarkers and enable a deeper understanding of the printed proteins related to signaling pathways on the slides. 43,44 There are several stages between the discovery of biomarkers and their clinical use in patients with cancer. 45 Post-genomic technologies and bioinformatics tools help to identify novel candidate markers with the integration of relevant information, such as gene expression, mutations, single nucleotide polymorphisms, and cancer biology.…”
Section: Disease Biomarkers and Postgenomic Technology Cancer Markersmentioning
confidence: 99%