Contributions
Abstract: PB2150
Type: Publication Only
Background
Multiple myeloma (MM) is recognized as a hematological malignancy characterized by the accumulation of abnormal plasma cell clones in bone marrow. MM is a heterogeneous disease in which clinical representation, cell morphology, immunophenotype, prognosis, disease progression as well as treatment outcome, harbors specific genetic alterations. Advanced genomic techniques including microarray have been currently used to study the heterogeneity/complexity of the disease which could help further identify biomarkers as well as develop the new effective therapy.
Aims
In this work, we aimed to primarily explore the transcriptional signature of different subgroups of myeloma patients in Thai population.
Methods
We performed gene expression profile analysis using microarray to analyze a total of seventeen CD138-enriched samples from newly diagnosed MM patients. The risk-assessment was based on the Mayo Stratification of Myeloma and Risk-Adapted Therapy. Finally, gene set enrichment analysis (GSEA) was performed by using Hallmark gene set version 4.0 MSigDB collections as a gene set database.
Results
We could categorize individual patients in to different subgroups as following: 2 patients with high-risk (11.8%), 7 patients with intermediate-risk (41.2%), and 8 patients with standard-risk (47.1%). Markedly, 2 patients with high-risk group shared both del(13q) and del(17p). Additionally, we found that several genes are differentially expressed in different subgroups of multiple myeloma. Moreover, GSEA analysis revealed that TNFA signaling via NFKB, TGF beta signaling, and KRAS signaling are differentially expressed in high-risk group when compared with the standard-group (FDR<25% and nominal p-value < 0.05).
Conclusion
We provide the preliminary data of a transcriptional signature in different subgroups of MM in Thai patients. The results from GSEA reveal and highlight several molecular pathways that are critical for the development of high-risk MM phenotype in Thai population.
Session topic: 13. Myeloma and other monoclonal gammopathies – Biology & Translational Research
Keyword(s): Expression profiling, Multiple Myeloma, Transcriptional regulation
Abstract: PB2150
Type: Publication Only
Background
Multiple myeloma (MM) is recognized as a hematological malignancy characterized by the accumulation of abnormal plasma cell clones in bone marrow. MM is a heterogeneous disease in which clinical representation, cell morphology, immunophenotype, prognosis, disease progression as well as treatment outcome, harbors specific genetic alterations. Advanced genomic techniques including microarray have been currently used to study the heterogeneity/complexity of the disease which could help further identify biomarkers as well as develop the new effective therapy.
Aims
In this work, we aimed to primarily explore the transcriptional signature of different subgroups of myeloma patients in Thai population.
Methods
We performed gene expression profile analysis using microarray to analyze a total of seventeen CD138-enriched samples from newly diagnosed MM patients. The risk-assessment was based on the Mayo Stratification of Myeloma and Risk-Adapted Therapy. Finally, gene set enrichment analysis (GSEA) was performed by using Hallmark gene set version 4.0 MSigDB collections as a gene set database.
Results
We could categorize individual patients in to different subgroups as following: 2 patients with high-risk (11.8%), 7 patients with intermediate-risk (41.2%), and 8 patients with standard-risk (47.1%). Markedly, 2 patients with high-risk group shared both del(13q) and del(17p). Additionally, we found that several genes are differentially expressed in different subgroups of multiple myeloma. Moreover, GSEA analysis revealed that TNFA signaling via NFKB, TGF beta signaling, and KRAS signaling are differentially expressed in high-risk group when compared with the standard-group (FDR<25% and nominal p-value < 0.05).
Conclusion
We provide the preliminary data of a transcriptional signature in different subgroups of MM in Thai patients. The results from GSEA reveal and highlight several molecular pathways that are critical for the development of high-risk MM phenotype in Thai population.
Session topic: 13. Myeloma and other monoclonal gammopathies – Biology & Translational Research
Keyword(s): Expression profiling, Multiple Myeloma, Transcriptional regulation