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1.
Cancer Cell Int ; 17: 52, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-28503095

RESUMEN

BACKGROUND: For every six men, one will be diagnosed with prostate cancer (PCa) in their lifetime. Estrogen receptors (ERs) are known to play a role in prostate carcinogenesis. However, it is unclear whether the estrogenic effects are mediated by estrogen receptor α (ERα) or estrogen receptor ß (ERß). Although it is speculated that ERα is associated with harmful effects on PCa, the role of ERß in PCa is still ill-defined. The cholesterol oxidized metabolite 27-hydroxycholesterol (27-OHC) has been found to bind to ERs and act as a selective ER modulator (SERM). Increased 27-OHC levels are found in individuals with hypercholesterolemia, a condition that is suggested to be a risk factor for PCa. METHODS: In the present study, we determined the extent to which 27-OHC causes deleterious effects in the non-tumorigenic RWPE-1, the low tumorigenic LNCaP, and the highly tumorigenic PC3 prostate cancer cells. We conducted cell metabolic activity and proliferation assays using MTS and CyQUANT dyes, protein expression analyses via immunoblots and gene expression analyses via RT-PCR. Additionally, immunocytochemistry and invasion assays were performed to analyze intracellular protein distribution and quantify transepithelial cell motility. RESULTS: We found that incubation of LNCaP and PC3 cells with 27-OHC significantly increased cell proliferation. We also demonstrate that the ER inhibitor ICI 182,780 (fulvestrant) significantly reduced 27-OH-induced cell proliferation, indicating the involvement of ERs in proliferation. Interestingly, ERß levels, and to a lesser extent ERα, were significantly increased following incubation of PCa cells with 27-OHC. Furthermore, in the presence of the ERß specific inhibitor, PHTPP, 27-OHC-induced proliferation is attenuated. CONCLUSIONS: Altogether, our results show for the first time that 27-OHC, through ER activation, triggers deleterious effect in prostate cancer cell lines. We propose that dysregulated levels of 27-OHC may trigger or exacerbate prostate cancer via acting on ERß.

2.
Biochim Biophys Acta ; 1842(9): 1587-95, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-24874077

RESUMEN

The aspartyl protease ß-site AßPP-cleaving enzyme 1 (BACE1) catalyzes the rate-limiting step in Aß production, a peptide at the nexus of neurodegenerative cascades in Alzheimer Disease (AD). The adipocytokine leptin has been demonstrated to reduce Aß production and decrease BACE1 activity and expression levels. However, the signaling cascades involved in the leptin-induced mitigation in Aß levels and BACE1 expression levels have not been elucidated. We have demonstrated that the transcription factor nuclear factor - kappa B (NF-κB) positively regulates BACE1 transcription. NF-κB activity is tightly regulated by the mammalian sirtuin SIRT1. Multiple studies have cogently evinced that leptin activates the metabolic master regulator SIRT1. In this study, we determined the extent to which SIRT1 expression and activity regulate the leptin-induced attenuation in BACE1 expression and Aß levels in cultured human neuroblastoma SH-SY5Y cells. This study also elucidated and delineated the signal transduction pathways involved in the leptin induced mitigation in BACE1 expression. Our results demonstrate for the first time that leptin attenuates the activation and transcriptional activity of NF-κB by reducing the acetylation of the p65 subunit in a SIRT1-dependent manner. Furthermore, our data shows that leptin reduces the NF-κB-mediated transcription of BACE1 and consequently reduces Amyloid-ß genesis. Our study provides a valuable insight and a novel mechanism by which leptin reduces BACE1 expression and Amyloid-ß production and may help design potential therapeutic interventions.


Asunto(s)
Secretasas de la Proteína Precursora del Amiloide/genética , Péptidos beta-Amiloides/metabolismo , Ácido Aspártico Endopeptidasas/genética , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Leptina/farmacología , Neuroblastoma/tratamiento farmacológico , Transducción de Señal/efectos de los fármacos , Sirtuina 1/metabolismo , Secretasas de la Proteína Precursora del Amiloide/metabolismo , Ácido Aspártico Endopeptidasas/metabolismo , Western Blotting , Inmunoprecipitación de Cromatina , Ensayo de Inmunoadsorción Enzimática , Humanos , FN-kappa B/genética , FN-kappa B/metabolismo , Neuroblastoma/metabolismo , Neuroblastoma/patología , Regiones Promotoras Genéticas , ARN Mensajero/genética , Reacción en Cadena en Tiempo Real de la Polimerasa , Reacción en Cadena de la Polimerasa de Transcriptasa Inversa , Sirtuina 1/genética , Células Tumorales Cultivadas
3.
Mol Cell Biochem ; 410(1-2): 187-95, 2015 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-26350565

RESUMEN

Estrogen is synthesized from cholesterol and high cholesterol levels are suggested to be associated with increased risk of estrogen receptor(ER)-positive breast cancer. The cholesterol metabolite 27-hydroxycholesterol (27-OHC) was recently identified as a selective estrogen receptor modulator (SERM) and may therefore impact breast cancer progression. However, the mechanisms by which 27-OHC may contribute to breast cancer are not all known. We determined the extent to which 27-OHC regulates cell proliferation in MCF7 ER-positive breast cancer cell line involving the tumor suppressor protein p53. We found that treatment of MCF7 cells with 27-OHC resulted reduced p53 transcriptional activity. Conversely, treatment of the ER-negative MDA-MB 231 cells with 27-OHC induced no significant change in p53 activity. Exposure of MCF7 cells to 27-OHC was also associated with increased protein levels of the E3 ubiquitin protein ligase MDM2 and decreased levels of p53. Moreover, 27-OHC also enhanced physical interaction between p53 and MDM2. Furthermore, 27-OHC-induced proliferation was attenuated using either the p53 activator Tenovin-1 or the MDM2 inhibitor Nutlin-3 and Mdm2 siRNA. Taken together, our results indicate that 27-OHC may contribute to ER-positive breast cancer progression by disrupting constitutive p53 signaling in an MDM2-dependent manner.


Asunto(s)
Neoplasias de la Mama/enzimología , Proliferación Celular/efectos de los fármacos , Hidroxicolesteroles/farmacología , Proteínas Proto-Oncogénicas c-mdm2/metabolismo , Moduladores Selectivos de los Receptores de Estrógeno/farmacología , Proteína p53 Supresora de Tumor/metabolismo , Acetanilidas/farmacología , Neoplasias de la Mama/genética , Neoplasias de la Mama/patología , Relación Dosis-Respuesta a Droga , Femenino , Regulación Neoplásica de la Expresión Génica , Humanos , Imidazoles/farmacología , Células MCF-7 , Piperazinas/farmacología , Unión Proteica , Proteínas Proto-Oncogénicas c-mdm2/genética , Interferencia de ARN , Receptores de Estrógenos/efectos de los fármacos , Receptores de Estrógenos/metabolismo , Transducción de Señal/efectos de los fármacos , Tiourea/análogos & derivados , Tiourea/farmacología , Transcripción Genética , Transfección , Proteína p53 Supresora de Tumor/agonistas , Proteína p53 Supresora de Tumor/genética
4.
Front Digit Health ; 3: 797607, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-35059687

RESUMEN

Purpose: Clinicians rely on imaging features to calculate complexity of renal masses based on validated scoring systems. These scoring methods are labor-intensive and are subjected to interobserver variability. Artificial intelligence has been increasingly utilized by the medical community to solve such issues. However, developing reliable algorithms is usually time-consuming and costly. We created an international community-driven competition (KiTS19) to develop and identify the best system for automatic segmentation of kidneys and kidney tumors in contrast CT and report the results. Methods: A training and test set of CT scans that was manually annotated by trained individuals were generated from consecutive patients undergoing renal surgery for whom demographic, clinical and outcome data were available. The KiTS19 Challenge was a machine learning competition hosted on grand-challenge.org in conjunction with an international conference. Teams were given 3 months to develop their algorithm using a full-annotated training set of images and an unannotated test set was released for 2 weeks from which average Sørensen-Dice coefficient between kidney and tumor regions were calculated across all 90 test cases. Results: There were 100 valid submissions that were based on deep neural networks but there were differences in pre-processing strategies, architectural details, and training procedures. The winning team scored a 0.974 kidney Dice and a 0.851 tumor Dice resulting in 0.912 composite score. Automatic segmentation of the kidney by the participating teams performed comparably to expert manual segmentation but was less reliable when segmenting the tumor. Conclusion: Rapid advancement in automated semantic segmentation of kidney lesions is possible with relatively high accuracy when the data is released publicly, and participation is incentivized. We hope that our findings will encourage further research that would enable the potential of adopting AI into the medical field.

5.
Med Image Anal ; 67: 101821, 2021 01.
Artículo en Inglés | MEDLINE | ID: mdl-33049579

RESUMEN

There is a large body of literature linking anatomic and geometric characteristics of kidney tumors to perioperative and oncologic outcomes. Semantic segmentation of these tumors and their host kidneys is a promising tool for quantitatively characterizing these lesions, but its adoption is limited due to the manual effort required to produce high-quality 3D segmentations of these structures. Recently, methods based on deep learning have shown excellent results in automatic 3D segmentation, but they require large datasets for training, and there remains little consensus on which methods perform best. The 2019 Kidney and Kidney Tumor Segmentation challenge (KiTS19) was a competition held in conjunction with the 2019 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) which sought to address these issues and stimulate progress on this automatic segmentation problem. A training set of 210 cross sectional CT images with kidney tumors was publicly released with corresponding semantic segmentation masks. 106 teams from five continents used this data to develop automated systems to predict the true segmentation masks on a test set of 90 CT images for which the corresponding ground truth segmentations were kept private. These predictions were scored and ranked according to their average Sørensen-Dice coefficient between the kidney and tumor across all 90 cases. The winning team achieved a Dice of 0.974 for kidney and 0.851 for tumor, approaching the inter-annotator performance on kidney (0.983) but falling short on tumor (0.923). This challenge has now entered an "open leaderboard" phase where it serves as a challenging benchmark in 3D semantic segmentation.


Asunto(s)
Neoplasias Renales , Tomografía Computarizada por Rayos X , Estudios Transversales , Humanos , Procesamiento de Imagen Asistido por Computador , Riñón/diagnóstico por imagen , Neoplasias Renales/diagnóstico por imagen
6.
Chem Phys Lipids ; 207(Pt B): 108-126, 2017 10.
Artículo en Inglés | MEDLINE | ID: mdl-28583434

RESUMEN

Several studies have suggested an etiological role for hypercholesterolemia in the pathogenesis of breast cancer and prostate cancer (PCa). However, the molecular mechanisms that underlie and mediate the hypercholesterolemia-fostered increased risk for breast cancer and PCa are yet to be determined. The discovery that the most abundant cholesterol oxidized metabolite in the plasma, 27 hydroxycholesterol (27-OHC), is a selective estrogen receptor modulator (SERM) and an agonist of Liver X receptors (LXR) partially fills the void in our understanding and knowledge of the mechanisms that may link hypercholesterolemia to development and progression of breast cancer and PCa. The wide spectrum and repertoire of SERM and LXR-dependent effects of 27-OHC in the context of all facets and aspects of breast cancer and prostate cancer biology are reviewed in this manuscript in a very comprehensive manner. This review highlights recent findings pertaining to the role of 27-OHC in breast cancer and PCa and delineates the signaling mechanisms involved in the governing of different facets of tumor biology, that include tumor cell proliferation, epithelial-mesenchymal transition (EMT), as well as tumor cell invasion, migration, and metastasis. We also discuss the limitations of contemporary studies and lack of our comprehension of the entire gamut of effects exerted by 27-OHC that may be relevant to the pathogenesis of breast cancer and PCa. We unveil and propose potential future directions of research that may further our understanding of the role of 27-OHC in breast cancer and PCa and help design therapeutic interventions against endocrine therapy-resistant breast cancer and PCa.


Asunto(s)
Neoplasias de la Mama/tratamiento farmacológico , Carcinogénesis/efectos de los fármacos , Hidroxicolesteroles/farmacología , Neoplasias de la Próstata/tratamiento farmacológico , Animales , Neoplasias de la Mama/patología , Muerte Celular/efectos de los fármacos , Proliferación Celular/efectos de los fármacos , Estrés del Retículo Endoplásmico/efectos de los fármacos , Femenino , Humanos , Masculino , Neoplasias de la Próstata/patología
7.
Med Oncol ; 33(2): 12, 2016 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-26732475

RESUMEN

Although the causes of prostate cancer (PCa) and benign prostatic hyperplasia (BPH) are not known, the role of oxidative stress, aging, and diet are suspected to increase the incidence of prostate complications. The cholesterol oxidation derivative (oxysterol) 27-hydroxycholesterol (27-OHC) is the most prevalent cholesterol metabolite in the blood. As aging, oxidative stress, and hypercholesterolemia are associated with increased risk of PCa and BPH, and because 27-OHC levels are also increased with aging, hypercholesterolemia, and oxidative stress, determining the role of 27-OHC in the progression of PCas and BPH is warranted. In this study, we determined the effect of 27-OHC in human prostate epithelial cells RWPE-1. We found that 27-OHC stimulates proliferation and increases androgen receptor (AR) transcriptional activity. 27-OHC also increased prostate-specific antigen expression and enhanced AR binding to the androgen response element compared to controls. Silencing AR expression with siRNA markedly reduced the 27-OHC-induced proliferation. Furthermore, 27-OHC blocked docetaxel-induced apoptosis. Altogether, our results suggest that 27-OHC may play an important role in PCa and BPH progression by promoting proliferation and suppressing apoptosis.


Asunto(s)
Apoptosis/efectos de los fármacos , Hidroxicolesteroles/farmacología , Próstata/citología , Taxoides/farmacología , Antineoplásicos/farmacología , Proliferación Celular/efectos de los fármacos , Proliferación Celular/fisiología , Células Cultivadas , Docetaxel , Resistencia a Antineoplásicos/efectos de los fármacos , Células Epiteliales/efectos de los fármacos , Humanos , Calicreínas/genética , Calicreínas/metabolismo , Masculino , Regiones Promotoras Genéticas , Próstata/efectos de los fármacos , Antígeno Prostático Específico/genética , Antígeno Prostático Específico/metabolismo , Receptores Androgénicos/genética , Receptores Androgénicos/metabolismo
8.
PLoS One ; 8(8): e70773, 2013.
Artículo en Inglés | MEDLINE | ID: mdl-23951005

RESUMEN

ß-amyloid (Aß) peptide, accumulation of which is a culprit for Alzheimer's disease (AD), is derived from the initial cleavage of amyloid precursor protein by the aspartyl protease BACE1. Identification of cellular mechanisms that regulate BACE1 production is of high relevance to the search for potential disease-modifying therapies that inhibit BACE1 to reduce Aß accumulation and AD progression. In the present study, we show that the cholesterol oxidation product 27-hydroxycholesterol (27-OHC) increases BACE1 and Aß levels in human neuroblastoma SH-SY5Y cells. This increase in BACE1 involves a crosstalk between the two transcription factors NF-κB and the endoplasmic reticulum stress marker, the growth arrest and DNA damage induced gene-153 (gadd153, also called CHOP). We specifically show that 27-OHC induces a substantial increase in NF-κB binding to the BACE1 promoter and subsequent increase in BACE1 transcription and Aß production. The NF-κB inhibitor, sc514, significantly attenuated the 27-OHC-induced increase in NF-κB-mediated BACE1 expression and Aß genesis. We further show that the 27-OHC-induced NF-κB activation and increased NF-κB-mediated BACE1 expression is contingent on the increased activation of gadd153. Silencing gadd153 expression with siRNA alleviated the 27-OHC-induced increase in NF-κB activation, NF-κB binding to the BACE1 promoter, and subsequent increase in BACE1 transcription and Aß production. We also show that increased levels of BACE1 in the triple transgenic mouse model for AD is preceded by gadd153 and NF-κB activation. In summary, our study demonstrates that gadd153 and NF-κB work in concert to regulate BACE1 expression. Agents that inhibit gadd153 activation and subsequent interaction with NF-κB might be promising targets to reduce BACE1 and Aß overproduction and may ultimately serve as disease-modifying treatments for AD.


Asunto(s)
Secretasas de la Proteína Precursora del Amiloide/genética , Péptidos beta-Amiloides/genética , Ácido Aspártico Endopeptidasas/genética , FN-kappa B/genética , Neuronas/metabolismo , Factor de Transcripción CHOP/genética , Enfermedad de Alzheimer , Secretasas de la Proteína Precursora del Amiloide/metabolismo , Péptidos beta-Amiloides/agonistas , Péptidos beta-Amiloides/metabolismo , Animales , Ácido Aspártico Endopeptidasas/metabolismo , Línea Celular Tumoral , Modelos Animales de Enfermedad , Regulación de la Expresión Génica , Humanos , Hidroxicolesteroles/farmacología , Masculino , Ratones , Ratones Transgénicos , FN-kappa B/metabolismo , Neuronas/efectos de los fármacos , Neuronas/patología , Regiones Promotoras Genéticas , Unión Proteica , ARN Interferente Pequeño/genética , ARN Interferente Pequeño/metabolismo , Transducción de Señal , Factor de Transcripción CHOP/antagonistas & inhibidores , Factor de Transcripción CHOP/metabolismo , Transcripción Genética
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