Institution
University of Texas Health Science Center at Houston
Education•Houston, Texas, United States•
About: University of Texas Health Science Center at Houston is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 27309 authors who have published 42520 publications receiving 2151596 citations. The organization is also known as: UTHealth & The UT Health Science Center at Houston.
Topics: Population, Cancer, Poison control, Medicine, Health care
Papers published on a yearly basis
Papers
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TL;DR: This tumor model may be useful in drug-screening programs and in mechanistic studies of factors regulating human tumor growth and progression and appears that undefined host factors can influence tumor growth.
Abstract: Transformed fibroblasts coinoculated with epithelial cells accelerated the growth and shortened the latency period of human epithelial tumors in athymic mice. Addition of NbF-1 fibroblasts caused epithelial tumors to grow from five marginally tumorigenic or "nontumorigenic" (nontumor-forming) human tumor cell lines or strains: PC-3 (prostate), WH (bladder), MDA-436 (breast), and cells derived from the ascites fluids of patients with metastatic renal pelvic or prostate cancers. Evidence for the human and epithelial nature of these experimental tumors was provided by histologic, immunohistochemical, Southern and dot-blot hybridization, and cytogenetic analyses. Transformed fibroblasts induced predominantly carcinosarcomas, whereas nontumorigenic fibroblasts (NIH 3T3) and lethally irradiated transformed fibroblasts induced exclusively carcinomas. The fibroblast-epithelial interaction appears to occur bidirectionally and does not result from cell fusion. Because coculture experiments in vitro did not demonstrate an increased cell proliferation, it appears that undefined host factors can influence tumor growth. This tumor model may be useful in drug-screening programs and in mechanistic studies of factors regulating human tumor growth and progression.
416 citations
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TL;DR: It is envisioned that the proteolytic processing of DMP1 and DSPP may be an activation process that plays a significant, crucial role in osteogenesis and dentinogenesis, and that a failure in this processing would cause defective mineralization in bone and dentIn, as observed in X-linked hypophosphatemic rickets.
Abstract: The extracellular matrix (ECM) of bone and dentin contains several non-collagenous proteins. One category of non-collagenous protein is termed the SIBLING (Small Integrin-Binding LIgand, N-linked Glycoprotein) family, that includes osteopontin (OPN), bone sialoprotein (BSP), dentin matrix protein 1 (DMP1), dentin sialophosphoprotein (DSPP), and matrix extracellular phosphoglycoprotein (MEPE). These polyanionic SIBLING proteins are believed to play key biological roles in the mineralization of bone and dentin. Although the specific mechanisms involved in controlling bone and dentin formation are still unknown, it is clear that some functions of the SIBLING family members are dependent on the nature and extent of post- translational modifications (PTMs), such as phosphorylation, glycosylation, and proteolytic processing, since these PTMs would have significant effects on their structure. OPN and BSP are present in the ECM of bone and dentin as full-length forms, whereas amino acid sequencing indicates that DMP1 and DSPP exist as proteolytically processed fragments that result from scission of X-Asp bonds. We hypothesized that the processing of DMP1 and DSPP is catalyzed by the PHEX enzyme, since this protein, an endopeptidase that is predominantly expressed in bone and tooth, has a strong preference for cleavage at the NH 2 - terminus of aspartyl residue. We envision that the proteolytic processing of DMP1 and DSPP may be an activation process that plays a significant, crucial role in osteogenesis and dentinogenesis, and that a failure in this processing would cause defective mineralization in bone and dentin, as observed in X-linked hypophosphatemic rickets.
416 citations
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TL;DR: The authors found no support for the "jolly fat" hypothesis (obesity reduces risk of depression), but there has been sufficient disparity of results thus far to justify continued research.
Abstract: Two waves of data from a community-based study (Alameda County Study, 1994-1995) were used to investigate the association between obesity and depression. Depression was measured with 12 items covering Diagnostic and Statistical Manual of Mental Disorders: DSM-IV diagnostic criteria for major depressive episode. Following US Public Health Service criteria, obese subjects were defined as those with body mass index scores at the 85th percentile or higher. Covariates were age, sex, education, marital status, social isolation and social support, chronic medical conditions, functional impairment, life events, and financial strain. Results were mixed. In cross-sectional analyses, greater odds for depression in 1994 were observed for the obese, with and without adjustment for covariates. When obesity and depression were examined prospectively, controlling for other variables, obesity in 1994 predicted depression in 1995 (odds ratio (OR) = 1.73, 95% confidence interval (CI): 1.04, 2.87). When the data were analyzed with obesity defined as a body mass index of > or = 30, cross-sectional results were the same. However, the prospective multivariate analyses were not significant (OR = 1.43, 95% CI: 0.85, 2.43). Although these data do not resolve the role of obesity as a risk factor for depression, overall the results suggest an association between obesity and depression. The authors found no support for the "jolly fat" hypothesis (obesity reduces risk of depression). However, there has been sufficient disparity of results thus far to justify continued research.
416 citations
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University of Chicago1, University of Jena2, Royal Adelaide Hospital3, Royal Liverpool and Broadgreen University Hospital NHS Trust4, Catholic University of Korea5, Sarah Cannon Research Institute6, University of Tokyo7, Novartis8, University of Turin9, University of Texas Health Science Center at Houston10
TL;DR: Nilotinib continues to demonstrate superior efficacy in all key response and outcome parameters compared with imatinib for the treatment of patients with newly diagnosed CML-CP and was associated with a significantly lower probability of progression to accelerated phase/blast crisis vs imatinIB.
Abstract: Evaluating Nilotinib Efficacy and Safety in Clinical Trials Newly Diagnosed Patients compares nilotinib and imatinib in patients with newly diagnosed chronic myeloid leukemia in chronic phase (CML-CP). With a minimum follow-up of 3 years, major molecular response, molecular response of BCR-ABL≤ 0.01% expressed on the international scale (BCR-ABL(IS); MR(4)) and BCR-ABL(IS)≤ 0.0032% (MR(4.5)) rates were significantly higher with nilotinib compared with imatinib, and differences in the depth of molecular response between nilotinib and imatinib have increased over time. No new progressions occurred on treatment since the 2-year analysis. Nilotinib was associated with a significantly lower probability of progression to accelerated phase/blast crisis vs imatinib (two (0.7%) progressions on nilotinib 300 mg twice daily, three (1.1%) on nilotinib 400 mg twice daily and 12 (4.2%) on imatinib). When considering progressions occurring after study treatment discontinuation, the advantage of nilotinib over imatinib in preventing progression remained significant (nine (3.2%) progressions on nilotinib 300 mg twice daily, six (2.1%) on nilotinib 400 mg twice daily and 19 (6.7%) on imatinib). Both nilotinib and imatinib were well tolerated, with minimal changes in safety over time. Nilotinib continues to demonstrate superior efficacy in all key response and outcome parameters compared with imatinib for the treatment of patients with newly diagnosed CML-CP.
416 citations
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TL;DR: Right ventricular function is an independent predictor of death and the development of HF in patients with LV dysfunction after MI, after adjusting for age, gender, diabetes mellitus, hypertension, previous MI, LVEF, infarct size, cigarette smoking and treatment assignment.
415 citations
Authors
Showing all 27450 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul M. Ridker | 233 | 1242 | 245097 |
Eugene Braunwald | 230 | 1711 | 264576 |
Eric N. Olson | 206 | 814 | 144586 |
Hagop M. Kantarjian | 204 | 3708 | 210208 |
André G. Uitterlinden | 199 | 1229 | 156747 |
Gordon B. Mills | 187 | 1273 | 186451 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Bruce M. Psaty | 181 | 1205 | 138244 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Daniel R. Weinberger | 177 | 879 | 128450 |
Bharat B. Aggarwal | 175 | 706 | 116213 |
Richard A. Gibbs | 172 | 889 | 249708 |
Russel J. Reiter | 169 | 1646 | 121010 |
James F. Sallis | 169 | 825 | 144836 |
Steven N. Blair | 165 | 879 | 132929 |