Impacto de Ia telemedicina en Ia calidad del control de tratamiento anticoagulante oral / Impact of tele-medicine for control of oral anticoagulant treatment

Antecedentes: En el año 2014 se inició Telemedicina desde el Policlinico de Tratamiento Anticoagulante oral del Hospital San Juan de Dios y el Hospital de Curacaví, evitando así el traslado de pacientes a Santiago para el control con el médico especialista. Métodos: Se utilizó licencia de video conferencia en el Hospital San Juan de Dios, dispositivo móvil, equipo de INR capilar y stock de Acenocumarol en el Hospital de Curacaví. Resultados: En total se han realizado 2.174 consultas vía Telemedicina (junio 2014 a diciembre 2015). Esta estrategia ha sido bien evaluada por los pacientes. La mejora en la calidad del tratamiento ha sido evidente: 58,3% de los pacientes del Hospital de Curacaví se encuentran en rango terapéutico, superior al 50,8% de los pacientes del Hospital San Juan de Dios (p < 0,05). En cuanto al Tiempo en Rango Terapéutico (TTR) 50,6% de los pacientes del Hospital de Curacaví se encuentran en rango versus 46,2% de los pacientes del Hospital San Juan de Dios (p< 0,05). Conclusiones: La Telemedicina utilizada por equipos comprometidos es capaz de mantener indicadores de calidad de la atención que la validan como herramienta de atención clínica a distancia. La Telemedicina, en cuanto es una herramienta que acerca el especialista a comunidades alejadas de centros hospitalarios complejos, es valorada y muy bien calificada por los usuarios.

Background: Starting in 2014 telemedicine has been used to control oral anticoagulant treatment (OAT) in patients attending a peripheral hospital (Curacaví), in connection with Hospital San Juan de Dios, based in Santiago. Methods: A license for video conference was available to communicate both hospitals. Capillary INR and medications were available at Curacaví Hospital. Results: Between June 2014 and December 2015, 2174 indications for OAT have been made through tele-medicine. Different estimates of quality of care and user satisfaction have been rated > 6.7 (1-7 scale). Percent of INR measurements in therapeutic range was 58.3% in Curacavi and 50.8% at Hospital San Juan de Dios (p<0.05) and time in therapeutic range was 50.6% vs 42.6%, respectively (p<0.05) Conclusion: Tele-medicine allowed a close relationship between remote medical facilities and a complex medical center and was fully validated as a means of controlling OAT with a high degree of acceptance by patients.

Androgen receptor overexpression induces tamoxifen resistance in human breast cancer cells.

Although the androgen receptor (AR) is a known clinical target in prostate cancer, little is known about its possible role in breast cancer. We have investigated the role of AR expression in human breast cancer in response to treatment with the antiestrogen tamoxifen. Resistance to tamoxifen is a major problem in treating women with breast cancer. By gene expression profiling, we found elevated AR and reduced estrogen receptor (ER) alpha mRNA in tamoxifen-resistant tumors. Exogenous overexpression of AR rendered ERalpha-positive MCF-7 breast cancer cells resistant to the growth-inhibitory effects of tamoxifen in anchorage-independent growth assays and in xenograft studies in athymic nude mice. AR-overexpressing cells remained sensitive to growth stimulation with dihydrotestosterone. Treatment with the AR antagonist Casodex (bicalutamide) reversed this resistance, demonstrating the involvement of AR signaling in tamoxifen resistance. In AR-overexpressing cells, tamoxifen induced transcriptional activation by ERalpha that could be blocked by Casodex, suggesting that AR overexpression enhances tamoxifen's agonistic properties. Our data suggest a role for AR overexpression as a novel mechanism of hormone resistance, so that AR may offer a new clinical therapeutic target in human breast cancers.

Association between the estrogen receptor alpha A908G mutation and outcomes in invasive breast cancer.

PURPOSE: Estrogen receptor alpha (ERalpha) predicts the natural history of breast cancer without intervening therapy. Here, we have optimized the detection of a somatic mutation, an A908G transition of ERalpha, and examined its association with clinical and biological features of invasive breast cancer. EXPERIMENTAL DESIGN: We compared two methods of sequencing to detect the A908G ERalpha mutation. We then used primer extension sequencing with genomic DNA isolated from invasive breast tumors to determine whether the mutation was associated with clinical outcome in 267 axillary node-negative and axillary node-positive breast tumors. The presence of the mutation and clinical variables were analyzed for association with recurrence-free survival and overall survival by Cox proportional hazards regression models. RESULTS: We determined that dye-labeled terminator sequencing was not adequate for detection of the A908G ERalpha mutation. The mutation was detected at a high frequency (50%) in invasive breast tumors using primer extension sequencing, and was found to be associated with clinical measures of poor outcome, including larger tumor size and axillary lymph node positivity. Although the mutation was associated with recurrence-free survival in univariate analysis, it was not an independent predictor of outcomes in multivariate analysis. CONCLUSIONS: Consistent with our previous finding of this somatic ERalpha mutation in breast ductal hyperplasias, we now present evidence that the A908G mutation is present in invasive breast tumors using an optimized sequencing method. We find that the mutation is significantly associated with aggressive biological tumor features, and with an unfavorable prognosis, but was not an independent prognostic marker in untreated patients.

Evidence for diversity in transcriptional profiles of single hematopoietic stem cells.

Hematopoietic stem cells replenish all the cells of the blood throughout the lifetime of an animal. Although thousands of stem cells reside in the bone marrow, only a few contribute to blood production at any given time. Nothing is known about the differences between individual stem cells that dictate their particular state of activation readiness. To examine such differences between individual stem cells, we determined the global gene expression profile of 12 single stem cells using microarrays. We showed that at least half of the genetic expression variability between 12 single cells profiled was due to biological variation in 44% of the genes analyzed. We also identified specific genes with high biological variance that are candidates for influencing the state of readiness of individual hematopoietic stem cells, and confirmed the variability of a subset of these genes using single-cell real-time PCR. Because apparent variation of some genes is likely due to technical factors, we estimated the degree of biological versus technical variation for each gene using identical RNA samples containing an RNA amount equivalent to that of single cells. This enabled us to identify a large cohort of genes with low technical variability whose expression can be reliably measured on the arrays at the single-cell level. These data have established that gene expression of individual stem cells varies widely, despite extremely high phenotypic homogeneity. Some of this variation is in key regulators of stem cell activity, which could account for the differential responses of particular stem cells to exogenous stimuli. The capacity to accurately interrogate individual cells for global gene expression will facilitate a systems approach to biological processes at a single-cell level.

Elevated expression of mitogen-activated protein kinase phosphatase 3 in breast tumors: a mechanism of tamoxifen resistance.

Antiestrogen resistance is a major clinical problem in the treatment of breast cancer. Altered growth factor signaling with estrogen receptor (ER)-alpha is associated with the development of resistance. Gene expression profiling was used to identify mitogen-activated protein kinase (MAPK) phosphatase 3 (MKP3) whose expression was correlated with response to the antiestrogen tamoxifen in both patients and in vitro-derived cell line models. Overexpression of MKP3 rendered ER-alpha-positive breast cancer cells resistant to the growth-inhibitory effects of tamoxifen and enhanced tamoxifen agonist activity in endometrial cells. MKP3 overexpression was associated with lower levels of activated extracellular signal-regulated kinase 1/2 (ERK1/2) phosphorylation in the presence of estrogen but that estrogen deprivation and tamoxifen treatment decreased MKP3 phosphatase activity, leading to an up-regulation of pERK1/2 MAPK, phosphorylated Ser(118)-ER-alpha, and cyclin D1. The MAPK/ERK kinase inhibitor PD98059 blocked tamoxifen-resistant growth. Accumulation of reactive oxygen species was observed with tamoxifen treatment of MKP3-overexpressing cells, and antioxidant treatment increased MKP3 phosphatase activity, thereby blocking resistance. Furthermore, PD98059 increased the levels of phosphorylated c-Jun NH(2)-terminal kinase (JNK) in tamoxifen-treated MKP3-overexpressing cells, suggesting an interaction between MKP3 levels, activation of ERK1/2 MAPK, and JNK signaling in human breast cancer cells. MKP3 represents a novel mechanism of resistance, which may be a potential biomarker for the use of ERK1/2 and/or JNK inhibitors in combination with tamoxifen treatment.

Low levels of estrogen receptor beta protein predict resistance to tamoxifen therapy in breast cancer.

PURPOSE: Breast cancer is a hormone-dependent cancer, and the presence of estrogen receptor alpha (ER-alpha) in tumors is used clinically to predict the likelihood of response to hormonal therapies. The clinical value of the second recently identified ER isoform, called ER-beta, is less clear, and there is currently conflicting data concerning its potential role as a prognostic or predictive factor. EXPERIMENTAL DESIGN: To assess whether ER-beta expression is associated with clinical outcome, protein levels were measured by immunoblot analysis of a retrospective bank of tumor cell lysates from 305 axillary node-positive patients. A total of 119 received no adjuvant therapy, and 186 were treated with tamoxifen only. The median follow-up time was 65 months. Univariate and multivariate Cox regression modeling was done to assess the prognostic and predictive significance of ER-beta expression. RESULTS: Expression of ER-beta protein did not correlate significantly with any other clinical variables, including ER and progesterone levels (as measured ligand binding assay), tumor size, age, or axillary nodal status. In the untreated population, those patients whose tumors who expressed both receptor isoforms exhibited the most favorable outcome as compared with those patients who had lost ER-alpha expression. However, there was no association between ER-beta levels alone and either disease-free or overall survival in the untreated patient population. In contrast, in both univariate and multivariate analyses, high levels of ER-beta predicted an improved disease-free and overall survival in patients treated with adjuvant tamoxifen therapy. CONCLUSIONS: These findings provide evidence that ER-beta may be an independent predictor of response to tamoxifen in breast cancer. Furthermore, these results suggest that ER-beta may influence tumor progression in ways different from those mediated by the ER-alpha isoform.

Estrogen receptor beta protein in human breast cancer: correlation with clinical tumor parameters.

The recent discovery of a second estrogen receptor (ER), designated ERbeta, raises pressing questions about its role in estrogen regulation of human breast cancer cells and its significance for the prediction of recurrence and treatment responses in clinical breast cancer. Most of what we know about ERbeta expression comes from studies examining a limited number of samples at the RNA level. We have now generated a monoclonal antibody useful for the detection of ERbeta at the protein level in archival, formalin-fixed breast tumors and have examined its expression using immunohistochemistry in a pilot series of 242 breast cancer patients. Coexpression of ERbeta and ERalpha was found in the majority of the tumors, with 76% of the tumors expressing ERbeta as determined by immunohistochemistry. ERalpha, but not ERbeta, was strongly associated with progesterone receptor expression, suggesting that ERalpha is the predominant regulator of this estrogen-induced gene in breast tumors. Although ERalpha expression was positively correlated with low tumor grade, diploidy, and low S-phase fraction, all biological parameters of a good prognostic profile, ERbeta trended toward an association only with aneuploidy; no association with tumor grade or S-phase fraction was seen for ERbeta. We found that ERbeta expression does cause false positive readings for ERalpha. These results suggest that ERbeta expression is not a surrogate for ERalpha in clinical breast tumors and, as such, could be a useful biomarker in its own right.