Distinct clonal identities of B-ALLs arising after Lenolidomide therapy for Multiple Myeloma
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PROVIDER: PRJNA885214 | ENA |
REPOSITORIES: ENA
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Project description:Patients with multiple myeloma (MM) who are treated with lenalidomide rarely develop a secondary B-cell acute lymphoblastic leukemia (B-ALL). The clonal and biological relationship between these sequential malignancies is not yet clear. We identified 17 patients with MM treated with lenalidomide, who subsequently developed B-ALL. Patient samples were evaluated through sequencing, cytogenetics/fluorescence in situ hybridization (FISH), immunohistochemical (IHC) staining, and immunoglobulin heavy chain (IgH) clonality assessment. Samples were assessed for shared mutations and recurrently mutated genes. Through whole exome sequencing and cytogenetics/FISH analysis of 7 paired samples (MM vs matched B-ALL), no mutational overlap between samples was observed. Unique dominant IgH clonotypes between the tumors were observed in 5 paired MM/B-ALL samples. Across all 17 B-ALL samples, 14 (83%) had a TP53 variant detected. Three MM samples with sufficient sequencing depth (>500×) revealed rare cells (average of 0.6% variant allele frequency, or 1.2% of cells) with the same TP53 variant identified in the subsequent B-ALL sample. A lack of mutational overlap between MM and B-ALL samples shows that B-ALL developed as a second malignancy arising from a founding population of cells that likely represented unrelated clonal hematopoiesis caused by a TP53 mutation. The recurrent variants in TP53 in the B-ALL samples suggest a common path for malignant transformation that may be similar to that of TP53-mutant, treatment-related acute myeloid leukemia. The presence of rare cells containing TP53 variants in bone marrow at the initiation of lenalidomide treatment suggests that cellular populations containing TP53 variants expand in the presence of lenalidomide to increase the likelihood of B-ALL development.
| S-EPMC9860439 | biostudies-literature
Project description:This SuperSeries is composed of the following subset Series: GSE36822: Clonal competition with alternating dominance in multiple myeloma [244kCGH] GSE36823: Clonal competition with alternating dominance in multiple myeloma [44kCGH] GSE36824: Clonal competition with alternating dominance in multiple myeloma [GEP] Refer to individual Series
2012-03-27 | E-GEOD-36825 | biostudies-arrayexpress
Project description:<h4><strong>BACKGROUND:</strong> Multiple myeloma is characterized by clonal proliferation of malignant plasma cells in the bone marrow that produce monoclonal immunoglobulins. N-glycosylation changes of these monoclonal immunoglobulins have been reported in multiple myeloma, but previous studies only detected limited serum N-glycan features.</h4><h4><strong>METHODS:</strong> Here, a more detailed study of the human serum N-glycome of 91 multiple myeloma patients and 51 controls was performed. We additionally analyzed sequential samples from patients (n = 7) which were obtained at different time points during disease development as well as 16 paired blood serum and bone marrow plasma samples. N-glycans were enzymatically released and measured by mass spectrometry after linkage specific derivatization of sialic acids.</h4><h4><strong>RESULTS:</strong> A decrease in both α2,3- and α2,6-sialylation, galactosylation and an increase in fucosylation within complex-type N-glycans were found in multiple myeloma patients compared to controls, as well as a decrease in difucosylation of diantennary glycans. The observed glycosylation changes were present in all ISS stages, including the 'low-risk' ISS I. In individual patients, difucosylation of diantennary glycans decreased with development of the disease. Protein N-glycosylation features from blood and bone marrow showed strong correlation. Moreover, associations of monoclonal immunoglobulin (M-protein) and albumin levels with glycan traits were discovered in multiple myeloma patients.</h4><h4><strong>CONCLUSIONS & GENERAL SIGNIFICANCE: </strong>In conclusion, serum protein N-glycosylation analysis could successfully distinguish multiple myeloma from healthy controls. Further studies are needed to assess the potential roles of glycan trait changes and the associations of glycans with clinical parameters in multiple myeloma early detection and prognosis.</h4>
2022-04-27 | MTBLS676 | MetaboLights
Project description:Copy number and Gene expression profiling multiple myeloma patients at multiple stages of their individual clinical course Identification of evolutionary paterns in multiple myeloma Copy number differences between individual CD138 purified tumor populations from multiple myeloma patients and control female using the Agilent 244A Human CGH microarray
2012-03-27 | E-GEOD-36822 | biostudies-arrayexpress
Project description:Copy number and Gene expression profiling multiple myeloma patients at multiple stages of their individual clinical course Identification of evolutionary paterns in multiple myeloma Copy number differences between individual CD138 purified tumor populations from multiple myeloma patients and control female using the Agilent 44B Human CGH microarray
2012-03-27 | E-GEOD-36823 | biostudies-arrayexpress
Project description:Copy number and expression profiling of multiple myeloma patients at multiple stages of their individual clinical course Identification of evolutionary patterns in multiple myeloma Gene expression analysis of individual CD138 purified tumor populations using Affymertix U133Plus2.0 GeneChips
2012-03-27 | E-GEOD-36824 | biostudies-arrayexpress
Project description:Copy number and expression profiling of multiple myeloma patients at multiple stages of their individual clinical course Identification of evolutionary patterns in multiple myeloma
2012-03-28 | GSE36824 | GEO
Project description:Copy number and Gene expression profiling multiple myeloma patients at multiple stages of their individual clinical course Identification of evolutionary paterns in multiple myeloma
2012-03-28 | GSE36823 | GEO
Project description:Copy number and Gene expression profiling multiple myeloma patients at multiple stages of their individual clinical course Identification of evolutionary paterns in multiple myeloma
2012-03-28 | GSE36822 | GEO
Project description:Deciphering clonal evolution and dissemination of Multiple Myeloma cells in vivo
| PRJNA495356 | ENA