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1.
J Psychosoc Oncol ; 36(4): 520-528, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29533162

RESUMO

BACKGROUND: Recent studies have highlighted the importance of being able to receive compassion and affiliative signals from others. The main aim of the present study was to explore whether social support and fear of receiving compassion from others are predictors of depression symptoms in a sample of breast cancer patients. METHODS: The sample included 86 female patients with non-metastatic breast cancer. Participants were recruited at a Radiotherapy Service in central Portugal and completed validated self-report instruments. Multiple regression analysis were conducted to examine the predictive effects of clinical (cancer stage, comorbidities) and demographic variables (age, education), social support, and fear of receiving compassion from others on depressive symptoms. RESULTS: Fear of receiving compassion from others was the only significant predictor of the model, with a positive effect on depression symptomatology (ß = 0.44; p < 0.001). These results suggest that the amount of supportive social contacts and networks may not be as important as cancer patients' ability to receive compassion from others. CONCLUSIONS: This is the first study to focus on fear of receiving compassion from others in cancer patients and seems to be a significant contribution for the study of the social factors that may be associated with depression in breast cancer. Psychological screening interviews in breast cancer, besides assessing patients' level of depression and social support, ought to also evaluate the ability to receive empathy and emotional help and support from other people.


Assuntos
Neoplasias da Mama/psicologia , Depressão/psicologia , Empatia , Medo , Idoso , Neoplasias da Mama/terapia , Feminino , Humanos , Pessoa de Meia-Idade , Apoio Social
3.
Clin Case Rep ; 12(4): e8595, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38645600

RESUMO

We report a rare clinical case of a malignant prolactinoma in which the exponential increase of prolactin levels with minimal tumor growth and no response to treatment led to diagnosis of abdominal, thoracic, and vertebral metastases.

4.
PLoS One ; 10(8): e0135110, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26267134

RESUMO

5-Flucytosine is currently used as an antifungal drug in combination therapy, but fungal pathogens are rapidly able to develop resistance against this drug, compromising its therapeutic action. The understanding of the underlying resistance mechanisms is crucial to deal with this problem. In this work, the S. cerevisiae deletion mutant collection was screened for increased resistance to flucytosine. Through this chemogenomics analysis, 183 genes were found to confer resistance to this antifungal agent. Consistent with its known effect in DNA, RNA and protein synthesis, the most significant Gene Ontology terms over-represented in the list of 5-flucytosine resistance determinants are related to DNA repair, RNA and protein metabolism. Additional functional classes include carbohydrate and nitrogen-particularly arginine-metabolism, lipid metabolism and cell wall remodeling. Based on the results obtained for S. cerevisiae as a model system, further studies were conducted in the pathogenic yeast Candida glabrata. Arginine supplementation was found to relieve the inhibitory effect exerted by 5-flucytosine in C. glabrata. Lyticase susceptibility was found to increase within the first 30min of 5-flucytosine exposure, suggesting this antifungal drug to act as a cell wall damaging agent. Upon exponential growth resumption in the presence of 5-flucytosine, the cell wall exhibited higher resistance to lyticase, suggesting that cell wall remodeling occurs in response to 5-flucytosine. Additionally, the aquaglyceroporin encoding genes CgFPS1 and CgFPS2, from C. glabrata, were identified as determinants of 5-flucytosine resistance. CgFPS1 and CgFPS2 were found to mediate 5-flucytosine resistance, by decreasing 5-flucytosine accumulation in C. glabrata cells.


Assuntos
Antifúngicos/farmacologia , Candida/genética , Farmacorresistência Fúngica/genética , Flucitosina/farmacologia , Genoma Fúngico , Saccharomyces cerevisiae/genética , Aquagliceroporinas/genética , Aquagliceroporinas/metabolismo , Candida/efeitos dos fármacos , Candida/metabolismo , Proteínas Fúngicas/genética , Proteínas Fúngicas/metabolismo , Saccharomyces cerevisiae/efeitos dos fármacos , Saccharomyces cerevisiae/metabolismo
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