Serum B-cell maturation antigen is elevated in multiple myeloma and correlates with disease status and survival
BRITISH JOURNAL OF HAEMATOLOGY
Authors: Sanchez, Eric; Li, Mingjie; Kitto, Alex; Li, Jennifer; Wang, Cathy S.; Kirk, Dylan T.; Yellin, Ori; Nichols, Cydney M.; Dreyer, Marissa P.; Ahles, Cameryn P.; Robinson, Austin; Madden, Erik; Waterman, Gabriel N.; Swift, Regina A.; Bonavida, Benjamin; Boccia, Ralph; Vescio, Robert A.; Crowley, John; Chen, Hai-ming; Berenson, James R.
Abstract
Although TNFRSF17 (also designated as B-cell maturation antigen (BCMA)) is expressed on tumour cells in B-cell malignancies, it has not been found in serum. The present study found that BCMA concentrations were higher in the supernatants of cultured bone marrow mononuclear cells from multiple myeloma (MM) patients than in healthy subjects. Serum BCMA levels were measured in samples from MM patients (n = 209), monoclonal gammopathy of undetermined significance (MGUS) individuals (n = 23) and age-matched controls (n = 40). BCMA was detected in the serum of untreated MM patients (n = 50) and levels were higher than in MGUS patients (P = 0.0157) and healthy subjects (P < 0.0001). Serum BCMA levels were higher among patients with progressive disease (n = 80) compared to those with responsive disease (n = 79; P = 0.0038). Among all MM patients, overall survival was shorter among patients whose serum BCMA levels were above the median (P = 0.001). We also demonstrated that sera from mice with human MM xenografts contained human BCMA, and levels correlated with the change in tumour volume in response to melphalan or cyclophosphamide with bortezomib. These results suggest that serum BCMA levels may be a new biomarker for monitoring disease status and overall survival of MM patients.
Gibbs Sampling Method Identifies Disrupted Pathways and Genes in Periodontitis
INTERNATIONAL JOURNAL OF HUMAN GENETICS
Authors: Zhang, Qi-Zhi; Wei, Wei; Zhang, Xiu-Min; Pan, Xiao-Han; Xu, Xiao-Qing; Gao, Yan-Yan; Chen, Si-Cong; Zhao, Yan-Ying
Abstract
Periodontitis is a chrome inflammatory disease triggered by the host immune response. The aim of this study is to explote the disturbed pathways and genes in periodontitis. Transcriptome data of healthy and diseased gingival tissues and human pathway data were recruited from public available database. Then Gibbs sampling and Markov chain Monte Carlo (MCMC) algorithm were implemented to identify disturbed pathways and key genes. Disturbed pathways and key genes were identified under adjusted posterior value > 0.8. The researchers identified two disturbed pathways (cytokine-cytokine receptor interaction and hematopoietic cell lineage) and two key genes (TNFRSF17 and CXCL6). Gene expression analysis showed that all the disturbed pathways and key genes had increased expression levels in diseased gingival samples compared with healthy samples. The identified pathways and genes may play important role in periodontitis and could be consideied as potential biomarkers for early detection and therapy for periodontitis.