Recurrent chromosomal rearrangements have not been well characterized in common carcinomas. We used a bioinformatics approach to discover candidate oncogenic chromosomal aberrations on the basis of outlier gene expression. Two ETS transcription factors, ERG and ETV1, were identified as outliers in prostate cancer. We identified recurrent gene fusions of the 5' untranslated region of TMPRSS2 to ERG or ETV1 in prostate cancer tissues with outlier expression. By using fluorescence in situ hybridization, we demonstrated that 23 of 29 prostate cancer samples harbor rearrangements in ERG or ETV1. Cell line experiments suggest that the androgen-responsive promoter elements of TMPRSS2 mediate the overexpression of ETS family members in prostate cancer. These results have implications in the development of carcinomas and the molecular diagnosis and treatment of prostate cancer.

https://science.sciencemag.org/content/sci/310/5748/644.full.pdf

Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer

Background Myeloma cells may secrete factors that affect the function of osteoblasts, osteoclasts, or both Methods We subjected purified plasma cells from the bone marrow of patients with newly diagnosed multiple myeloma and control subjects to oligonucleotide microarray profiling and biochemical and immunohistochemical analyses to identify molecular determinants of osteolytic lesions Results We studied 45 control subjects, 36 patients with multiple myeloma in whom focal lesions of bone could not be detected by magnetic resonance imaging (MRI), and 137 patients in whom MRI detected such lesions Different patterns of expression of 57 of approximately 10,000 genes from purified myeloma cells could be used to distinguish the two groups of patients (P<0001) Permutation analysis, which adjusts the significance level to account for multiple comparisons in the data sets, showed that 4 of these 57 genes were significantly overexpressed by plasma cells from patients with focal lesions One of these genes, dic

The Role of the Wnt-Signaling Antagonist DKK1 in the Development of Osteolytic Lesions in Multiple Myeloma

http://basicmed.med.ncku.edu.tw/admin/up_img/981110-1.pdf

DEPTOR Is an mTOR Inhibitor Frequently Overexpressed in Multiple Myeloma Cells and Required for Their Survival

The molecular classification of multiple myeloma

Frequent Engagement of the Classical and Alternative NF-κB Pathways by Diverse Genetic Abnormalities in Multiple Myeloma

Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells

Clinical GeneOrganizer (CGO) is a novel windows-based archiving, organization and data mining software for the integration of gene expression profiling in clinical medicine. The program implements various user-friendly tools and extracts data for further statistical analysis. This software was written for Affymetrix GeneChip *.txt files, but can also be used for any other microarray-derived data. The MS-SQL server version acts as a data mart and links microarray data with clinical parameters of any other existing database and therefore represents a valuable tool for combining gene expression analysis and clinical disease characteristics.

/pdf/cgo-utilizing-and-integrating-gene-expression-microarray-5d8powx5ef.pdf

CGO: utilizing and integrating gene expression microarray data in clinical research and data management

doi:10.1182/blood.V99.5.17452002 99: 1745-1757€€€€Frits van Rhee, Athanasios Fassas, John Crowley, Guido Tricot, Bart Barlogie and John Shaughnessy, JrSanderson, Yang Yang, Carla Wilson, Maurizio Zangari, Elias Anaissie, Christopher Morris, Firas Muwalla, Fenghuang Zhan, Johanna Hardin, Bob Kordsmeier, Klaus Bumm, Mingzhong Zheng, Erming Tian, Ralph€

/pdf/cells-gammopathy-of-undetermined-significance-and-normal-564p51fdnu.pdf

Mingzhong Zheng

Papers

Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells

CGO: utilizing and integrating gene expression microarray data in clinical research and data management

cells gammopathy of undetermined significance, and normal bone marrow plasma Global gene expression profiling of multiple myeloma, monoclonal