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A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

ABSTRACT: Despite the recent progress in treatment of multiple myeloma (MM), it is still an incurable malignant disease, and we are therefore in need of new risk stratification tools that can help us to understand the disease and optimize therapy. Here we propose a new subtyping of myeloma plasma cells (PCs) from diagnostic samples, assigned by normal B-cell subset associated gene signatures (BAGS). For this purpose, we combined fluorescence-activated cell sorting and gene expression profiles from normal bone marrow (BM) Pre-BI, Pre-BII, immature, naïve, memory, and PC subsets to generate BAGS for assignment of normal BM subtypes in diagnostic samples. The impact of the subtypes was analyzed in 8 available data sets from 1772 patients' myeloma PC samples. The resulting tumor assignments in available clinical data sets exhibited similar BAGS subtype frequencies in 4 cohorts from de novo MM patients across 1296 individual cases. The BAGS subtypes were significantly associated with progression-free and overall survival in a meta-analysis of 916 patients from 3 prospective clinical trials. The major impact was observed within the Pre-BII and memory subtypes, which had a significantly inferior prognosis compared with other subtypes. A multiple Cox proportional hazard analysis documented that BAGS subtypes added significant, independent prognostic information to the translocations and cyclin D classification. BAGS subtype analysis of patient cases identified transcriptional differences, including a number of differentially spliced genes. We identified subtype differences in myeloma at diagnosis, with prognostic impact and predictive potential, supporting an acquired B-cell trait and phenotypic plasticity as a pathogenetic hallmark of MM.

SUBMITTER: Bodker JS

PROVIDER: S-EPMC6156884 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Bødker Julie Støve JS Brøndum Rasmus Froberg RF Schmitz Alexander A Schönherz Anna Amanda AA Jespersen Ditte Starberg DS Sønderkær Mads M Vesteghem Charles C Due Hanne H Nørgaard Caroline Holm CH Perez-Andres Martin M Samur Mehmet Kemal MK Davies Faith F Walker Brian B Pawlyn Charlotte C Kaiser Martin M Johnson David D Bertsch Uta U Broyl Annemiek A van Duin Mark M Shah Rajen R Johansen Preben P Nørgaard Martin Agge MA Samworth Richard J RJ Sonneveld Pieter P Goldschmidt Hartmut H Morgan Gareth J GJ Orfao Alberto A Munshi Nikhil N Johnson Hans Erik HE El-Galaly Tarec T Dybkær Karen K Bøgsted Martin M

Blood advances 20180901 18

Despite the recent progress in treatment of multiple myeloma (MM), it is still an incurable malignant disease, and we are therefore in need of new risk stratification tools that can help us to understand the disease and optimize therapy. Here we propose a new subtyping of myeloma plasma cells (PCs) from diagnostic samples, assigned by normal B-cell subset associated <u>g</u>ene signatures (BAGS). For this purpose, we combined fluorescence-activated cell sorting and gene expression profiles from ...[more]

PMID: 30254104

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Project description:Current diagnostic tests for diffuse large B-cell lymphoma use the updated WHO criteria based on biologic, morphologic, and clinical heterogeneity. We propose a refined classification system based on subset-specific B-cell-associated gene signatures (BAGS) in the normal B-cell hierarchy, hypothesizing that it can provide new biologic insight and diagnostic and prognostic value.We combined fluorescence-activated cell sorting, gene expression profiling, and statistical modeling to generate BAGS for naive, centrocyte, centroblast, memory, and plasmablast B cells from normal human tonsils. The impact of BAGS-assigned subtyping was analyzed using five clinical cohorts (treated with cyclophosphamide, doxorubicin, vincristine, and prednisone [CHOP], n = 270; treated with rituximab plus CHOP [R-CHOP], n = 869) gathered across geographic regions, time eras, and sampling methods. The analysis estimated subtype frequencies and drug-specific resistance and included a prognostic meta-analysis of patients treated with first-line R-CHOP therapy.Similar BAGS subtype frequencies were assigned across 1,139 samples from five different cohorts. Among R-CHOP-treated patients, BAGS assignment was significantly associated with overall survival and progression-free survival within the germinal center B-cell-like subclass; the centrocyte subtype had a superior prognosis compared with the centroblast subtype. In agreement with the observed therapeutic outcome, centrocyte subtypes were estimated as being less resistant than the centroblast subtype to doxorubicin and vincristine. The centroblast subtype had a complex genotype, whereas the centrocyte subtype had high TP53 mutation and insertion/deletion frequencies and expressed LMO2, CD58, and stromal-1-signature and major histocompatibility complex class II-signature genes, which are known to have a positive impact on prognosis.Further development of a diagnostic platform using BAGS-assigned subtypes may allow pathogenetic studies to improve disease management.

Project description:This SuperSeries is composed of the SubSeries listed below: GSE56313 and GSE56314 Purpose Current diagnostic tests for diffuse large B-cell lymphoma use the updated WHO criteria based on biologic, morphologic, and clinical heterogeneity. We propose a refined classification sys-tem based on subset-specific B-cell–associated gene signatures (BAGS) in the normal B-cell hierarchy, hypothesizing that it can provide new biologic insight and diagnostic and prognostic value. Patients and Methods We combined fluorescence-activated cell sorting, gene expression profiling, and statistical modeling to generate BAGS for naive, centrocyte, centroblast, memory, and plasmablast B cells from normal human tonsils. The impact of BAGS-assigned subtyping was analyzed using five clinical cohorts (treated with cyclophosphamide, doxorubicin, vincristine, and prednisone [CHOP], n _ 270; treated with rituximab plus CHOP [R-CHOP], n _ 869) gathered across geo-graphic regions, time eras, and sampling methods. The analysis estimated subtype frequencies and drug-specific resistance and included a prognostic meta-analysis of patients treated with first-line R-CHOP therapy. Results Similar BAGS subtype frequencies were assigned across 1,139 samples from five different co-horts. Among R-CHOP–treated patients, BAGS assignment was significantly associated with overall survival and progression-free survival within the germinal center B-cell–like subclass; the centrocyte subtype had a superior prognosis compared with the centroblast subtype. In agreement with the observed therapeutic outcome, centrocyte subtypes were estimated as being less resistant than the centroblast subtype to doxorubicin and vincristine. The centroblast subtype had a complex genotype, whereas the centrocyte subtype had high TP53 mutation and insertion/deletion frequencies and expressed LMO2, CD58, and stromal-1–signature and major histocompatibility complex class II–signature genes, which are known to have a positive impact on prognosis. Conclusion Further development of a diagnostic platform using BAGS-assigned subtypes may allow pathogenetic studies to improve disease management.

Project description:Purpose Current diagnostic tests for diffuse large B-cell lymphoma use the updated WHO criteria based on biologic, morphologic, and clinical heterogeneity. We propose a refined classification sys-tem based on subset-specific B-cell–associated gene signatures (BAGS) in the normal B-cell hierarchy, hypothesizing that it can provide new biologic insight and diagnostic and prognostic value. Patients and Methods We combined fluorescence-activated cell sorting, gene expression profiling, and statistical modeling to generate BAGS for naive, centrocyte, centroblast, memory, and plasmablast B cells from normal human tonsils. The impact of BAGS-assigned subtyping was analyzed using five clinical cohorts (treated with cyclophosphamide, doxorubicin, vincristine, and prednisone [CHOP], n _ 270; treated with rituximab plus CHOP [R-CHOP], n _ 869) gathered across geo-graphic regions, time eras, and sampling methods. The analysis estimated subtype frequencies and drug-specific resistance and included a prognostic meta-analysis of patients treated with first-line R-CHOP therapy. Results Similar BAGS subtype frequencies were assigned across 1,139 samples from five different co-horts. Among R-CHOP–treated patients, BAGS assignment was significantly associated with overall survival and progression-free survival within the germinal center B-cell–like subclass; the centrocyte subtype had a superior prognosis compared with the centroblast subtype. In agreement with the observed therapeutic outcome, centrocyte subtypes were estimated as being less resistant than the centroblast subtype to doxorubicin and vincristine. The centroblast subtype had a complex genotype, whereas the centrocyte subtype had high TP53 mutation and insertion/deletion frequencies and expressed LMO2, CD58, and stromal-1–signature and major histocompatibility complex class II–signature genes, which are known to have a positive impact on prognosis. Conclusion Further development of a diagnostic platform using BAGS-assigned subtypes may allow pathogenetic studies to improve disease management.

Dataset Information

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Publications

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

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