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Montserrat Rué

Researcher at University of Lleida

Publications -  73
Citations -  4269

Montserrat Rué is an academic researcher from University of Lleida. The author has contributed to research in topics: Population & Breast cancer. The author has an hindex of 26, co-authored 66 publications receiving 3935 citations. Previous affiliations of Montserrat Rué include Harvard University & Dana Corporation.

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Clinical and biologic implications of recurrent genomic aberrations in myeloma

TL;DR: A stratification of patients into 3 distinct categories allowed for prognostication: poor prognosis group (t(4;14)(p16;q32), t(14; 16)(q32;q23), and - 17p13), intermediate prognosis (- 13q14), and good prognosis groups (all others).
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High tumor incidence and activation of the PI3K/AKT pathway in transgenic mice define AIB1 as an oncogene

TL;DR: It is shown that overexpression ofAIB1 in transgenic mice (AIB1-tg) leads to mammary hypertrophy, hyperplasia, abnormal postweaning involution, and the development of malignant mammary tumors, suggesting that an autocrine IGF-I loop underlies the mechanism of AIB1-induced oncogenesis.
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Oncogenic role of the ubiquitin ligase subunit Skp2 in human breast cancer

TL;DR: Skp2 has oncogenic potential in breast epithelial cells and is overexpressed in a subset of breast carcinomas (ER- and Her-2 negative) for which Skp2 inhibitors may represent a valid therapeutic option.
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Mineral metabolism parameters throughout chronic kidney disease stages 1–5—achievement of K/DOQI target ranges

TL;DR: An in-depth description of mineral metabolism in the early stages of CKD in a European population is provided to compare it with current recommendations for stages 3-5 and it is found that K/DOQI recommended levels for mineral metabolism parameters are difficult to accomplish, in particular for PTH levels.
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Customized Probability Models for Early Severe Sepsis in Adult Intensive Care Patients

TL;DR: In this paper, the authors developed customized versions of the Simplified Acute Physiology Score II (SAPS II) and the 24-hour Mortality Probability Model II (MPM II24) to estimate the probability of mortality for intensive care unit patients with early severe sepsis.