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A Coruña, Spain

Medina Villaamil V.,INIBIC | Aparicio Gallego G.,INIBIC | Santamarina Cainzos I.,INIBIC | Valbuena Ruvira L.,Modelo Hospital | And 3 more authors.
International Journal of Biomedical Science | Year: 2011

Introduction: Renal cell carcinoma is the most common type of kidney cancer. A better understanding of the critical pathways and interactions associated with alterations in renal function and renal tumour properties is required. Our final goal is to combine the knowledge provided by a regulatory network with experimental observations provided by the dataset. Methods: In this study, a systems biology approach was used, integrating immunohistochemistry protein expression profiles and protein interaction information with the STRING and MeV bioinformatics tools. A group consisting of 80 patients with renal cell carcinoma was studied. The expression of selected markers was assessed using tissue microarray technology on immunohistochemically stained slides. The immunohistochemical data of the molecular factors studied were analysed using a parametric statistical test, Pearson's correlation coefficient test. Results: Bioinformatics analysis of tumour samples resulted in 2 protein networks. The first network consists of proteins involved in the angiogenesis pathway and the apoptosis suppressor, BCL2, and includes both positive and negative correlations. The second network shows a negative interaction between the p53 tumour suppressor protein and the glucose transporter type 4. Conclusion: The comprehensive pathway network will help us to realise the cooperative behaviours among pathways. Regulation of metabolic pathways is an important role of p53. The pathway involving the tumour suppressor gene p53 could regulate tumour angiogenesis. Further investigation of the proteins that interact with this pathway in this type of tumour may provide new strategies for cancer therapies to specifically inhibit the molecules that play crucial roles in tumour progression. © 2011 Villaamil et al.


Anton Aparicio L.M.,University of La Coruna | Villaamil V.M.,Biomedical Research Institute INIBIC | Calvo M.B.,Biomedical Research Institute INIBIC | Rubira L.V.,Modelo Hospital | And 4 more authors.
Molecular Medicine Reports | Year: 2010

All mammalian cells contain one or more members of the facilitative glucose transporter (GLUT) gene family. Glucose transporter membrane proteins (GLUT) regulate the movement of glucose between the extracellular and intracellular compartments, maintaining a constant supply of glucose available for metabolism. Tumor cells are highly energy-dependent, therefore GLUT overexpression is often observed. In fact, overexpression of GLUT1 has been correlated with hypoxia markers in several tumor types, including renal cell carcinoma (RCC). We retrospectively analyzed 80 paraffin-embedded RCC samples. The pattern of GLUT1-5 expression in RCC specimens was evaluated using tissue-array technology and correlated with histological tumor characteristics. Pathological parameters included tumor location, renal pelvis, vein and lymph vessel invasion, capsule breakage, histological subtype, Furhman grade, hilar invasion and tumor stage at diagnosis. The expression of five facilitative glucose transporters, GLUT1 (erythrocyte type), GLUT2 (liver type), GLUT3 (brain type), GLUT4 (muscle/fat type) and GLUT5 (small intestinal type), was semi-quantitatively analyzed. In non-parametric, Mann-Whitney U and Kruskal-Wallis tests, a significant positive correlation was consistently found between moderately differentiated RCC tissues and the expression of GLUT5 (p=0.024). Patients who had pelvic invasion and capsule breakage at diagnosis also showed increased GLUT5 expression levels (p=0.039 and p=0.019, respectively). Moreover, GLUT5 showed statistical significance in those samples identified as being of clear cell histological type (p=0.001). A high expression of GLUT5 in human RCC was observed. GLUT5 appears to be correlated with grade II differentiation, locoregional invasion and aggressiveness, and may play a role in RCC development.


Gonzalez-Zabaleta J.,Modelo Hospital | Pita-Fernandez S.,University of La Coruna | Seoane-Pillado T.,University of La Coruna | Lopez-Calvino B.,University of La Coruna | Gonzalez-Zabaleta J.L.,Modelo Hospital
Geriatrics and Gerontology International | Year: 2016

Aim: To determine mortality and mobility rates after hip fracture. Methods: A prospective study (n=199 patients) was carried out in the Health Care Center of A Coruña (Spain) during the period between January 2009 and December 2011. A descriptive study, and Cox and logistic regression analysis were carried out. Informed consent and ethical review board approval were obtained (code 2010/120 CEIC Galicia). Results: The patients' mean age was 82.5±8.4 years and 76% were female. The average Charlson Comorbidity Index score was 6.1±2.1. Creatinine clearance<60mL/min/1.73m2 was 44%. The probability of survival 6 months after hip fracture was 89.2% and the survival rate at 12 months was 81.4%. Cox regression analysis showed that the indicator that most influenced mortality rate was comorbidity (HR=1.133; P=0.020) and age approaching borderline statistical significance (HR=1.034; P=0.064). The Parker Mobility Score decreased significantly (P<0.001) after hip fracture. Before fracture, 19% of the patients were able to get about the house, 26% were able to get out of the house and 55% were able to go shopping. After hip fracture (90 days), the percentages changed to 56.2%, 19.1% and 24.7%, respectively (P<0.001). After taking into account age, sex, type of fracture, surgical delay, previous fracture and comorbidity, the only indicator capable of predicting incapacity to walk was comorbidity. Conclusions: Comorbidity is the best predictor of mortality and mobility after hip fracture. © 2016 Japan Geriatrics Society.


Anton Aparicio L.M.,UDC | Anton Aparicio L.M.,Oncology Group | Medina Villaamil V.,Oncology Group | Aparicio Gallego G.,Oncology Group | And 9 more authors.
Cancer Genomics and Proteomics | Year: 2011

Background: Mutations in signalling pathways essential for embryonic development often lead to tumourigenesis, as is also true for Notch. The aim of this study was to assess the relationship between Notch1 to -4 and their ligands with anatomopathological features of the patients with renal cell carcinoma (RCC). Materials and Methods: This study investigated the pattern of protein expression in RCC specimens using tissue microarray technology. A total of 80 paraffin-embedded RCC samples were retrospectively analysed together with ACHN and A.704 cell lines. Results: Notch1 showed significant positive correlation with chromophobe RCC, no broken capsule, Furhman grade I and when the number of nodes involved was small [(N=1); p=0.039, 0.016, 0.037 and 0.001, respectively)]. Notch3 showed higher expression when the tumour was located in the right kidney (p=0.048). Conclusion: Notch1 may be useful in the future as a biomarker for the differential diagnosis of different RCC histological subtypes. Notch1 to -3 may also have potential use as a strong prognostic factor.


Gonzalez-Zabaleta J.,Modelo Hospital | Pita-Fernandez S.,University of La Coruna | Seoane-Pillado T.,University of La Coruna | Lopez-Calvino B.,University of La Coruna | Gonzalez-Zabaleta J.L.,Modelo Hospital
Archives of Gerontology and Geriatrics | Year: 2015

The objective of the study is to determine basic activities of daily living (Barthel Index) and instrumental activities of daily living (Lawton-Brody Index) before and after hip fracture. Follow-up study of patients (n = 100) with hip fracture, operated at Complejo Hospitalario Universitario de A Coruña (Spain). Period January/2009-December/2011. Demographic characteristic of the patients, Charlson Index, Glomerular filtration rate, Barthel index, Lawton index, type of proximal femur fracture and surgical treatment delay were recorded. Multivariate regression was performed. Informed patient consent and ethical review approval were obtained. Before fracture were independent for activities of daily living (ADL) a 38.0%, at 90 days were 15.4%. The Barthel index score decreased from 75.2 ± 28.2 to 56.5 ± 31.8) (p< 0.0001). If we consider the age, gender, comorbidity (Charlson index), renal function, fracture type and surgical delay objectify the only independent variable to predict dependency effect is age. If we also consider the Barthel score objectify the variable that significantly modifies that score at 90 days is the baseline value of the index. The prevalence of independence for instrumental activities of daily living (IADL) at the baseline moment is 11% and at 90 days is decreased to 2.2%. There is a decrease in the independence effect in all activities. The variable predictor of independence for all activities after taking into consideration age, sex, comorbidity, fracture type, surgical delay and renal function is the baseline score of the Barthel and Lawton index. © 2014 Elsevier Ireland Ltd.

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