Uma D. Chippada-Venkata

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BACKGROUND Castration-resistant prostate cancer (CRPC) is associated with wide variations in survival. Recent studies of whole blood mRNA expression-based biomarkers strongly predicted survival but the genes used in these biomarker models were non-overlapping and their relationship was unknown. We developed a biomarker model for CRPC that is robust, but(More)
Matrix metalloproteinases (MMPs), a group of zinc-dependent endopeptidases involved in the degradation of the extracellular matrix, play an important role in tissue remodeling associated with various physiological processes such as morphogenesis, angiogenesis, and tissue repair, as well as pathological processes including cirrhosis, arthritis and cancer.(More)
BACKGROUND Tissue inhibitor of metalloproteinase-1 (TIMP-1) is a 28.5 kDa secreted glycoprotein that inhibits matrix metalloproteinase (MMP) activity. Our group has previously shown that elevated plasma TIMP-1 levels predict poor survival in metastatic castration-resistant prostate cancer (CRPC) patients; however, the underlying source and impact of(More)
Impact of chemotherapy alone, and chemotherapy plus ipilimumab, on circulating immune cells in patients with metastatic bladder cancer Matthew D Galsky, Hahn Noah, Alexander Starodub, Ralph J Hauke, Przemyslaw Twardowski, Mark Fleming, Jingjing Qi, Guru Sonpavde, Manishkumar Patel, Jun Zhu, Uma Chippada-Venkata, Costantine Albany, Li Wang, Miriam Merad,(More)
A correction was made to Generation of Prostate Cancer Patient Derived Xenograft Models from Circulating Tumor Cells. There was a spelling error in one of the authors' surname. The author's name was corrected from: Veronica Rodriquez-Bravo to: Veronica Rodriguez-Bravo.
2-Dodecyl-6-methoxycyclohexa-2,5-diene-1,4-dione (DMDD) is a cyclohexanedione found in the roots of Averrhoa carambola L., commonly known as starfruit. Researchers have shown that DMDD has significant therapeutic potential for the treatment of diabetes; however, the effects of DMDD on human cancers have never been reported. We investigated the cytotoxic(More)
To understand the heterogeneity of prostate cancer (PCa) and identify novel underlying drivers, we constructed integrative molecular Bayesian networks (IMBNs) for PCa by integrating gene expression and copy number alteration data from published datasets. After demonstrating such IMBNs with superior network accuracy, we identified multiple sub-networks(More)
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