Benzo[a]pyrene promotes an epithelial-to-mesenchymal transition process in MCF10A cells and mammary tumor growth and brain metastasis in female mice.

Breast cancer is the most frequent neoplasia in developed countries and the leading cause of death in women worldwide. Epithelial-to-mesenchymal transition (EMT) is a cellular process through which epithelial cells decrease or lose their epithelial characteristics and gain mesenchymal properties. EMT mediates tumor progression, because tumor cells acquire the capacity to execute the multiple steps of invasion and metastasis. Benzo[a]pyrene (B[a]P) is an environmental organic pollutant generated during the burning of fossil fuels, wood, and other organic materials. B[a]P exposition increases the incidence of breast cancer, and induces migration and/or invasion in MDA-MB-231 and MCF-7 breast cancer cells. However, the role of B[a]P in the induction of an EMT process and metastasis of mammary carcinoma cells has not been studied in detail. In this study, we demonstrate that B[a]P induces an EMT process in MCF10A mammary non-tumorigenic epithelial cells. In addition, B[a]P promotes the formation of larger tumors in Balb/cJ mice inoculated with 4T1 cells than in untreated mice and treated with dimethyl sulfoxide (DMSO). B[a]P also increases the number of mice with metastasis to brain and the total number of brain metastatic nodules in Balb/cJ mice inoculated with 4T1 cells compared with untreated mice and treated with DMSO. In conclusion, B[a]P induces an EMT process in MCF10A cells and the growth of mammary tumors and metastasis to brain in Balb/cJ mice inoculated with 4T1 cells.

MicroRNA-204 Regulates Angiogenesis and Vasculogenic Mimicry in CD44+/CD24- Breast Cancer Stem-like Cells.

Tumors have high requirements in terms of nutrients and oxygen. Angiogenesis is the classical mechanism for vessel formation. Tumoral vascularization has the function of nourishing the cancer cells to support tumor growth. Vasculogenic mimicry, a novel intratumoral microcirculation system, alludes to the ability of cancer cells to organize in three-dimensional (3D) channel-like architectures. It also supplies the tumors with nutrients and oxygen. Both mechanisms operate in a coordinated way; however, their functions in breast cancer stem-like cells and their regulation by microRNAs remain elusive. In the present study, we investigated the functional role of microRNA-204 (miR-204) on angiogenesis and vasculogenic mimicry in breast cancer stem-like cells. Using flow cytometry assays, we found that 86.1% of MDA-MB-231 and 92% of Hs-578t breast cancer cells showed the CD44+/CD24- immunophenotype representative of cancer stem-like cells (CSCs). The MDA-MB-231 subpopulation of CSCs exhibited the ability to form mammospheres, as expected. Interestingly, we found that the restoration of miR-204 expression in CSCs significantly inhibited the number and size of the mammospheres. Moreover, we found that MDA-MB-231 and Hs-578t CSCs efficiently undergo angiogenesis and hypoxia-induced vasculogenic mimicry in vitro. The transfection of precursor miR-204 in both CSCs was able to impair the angiogenesis in the HUVEC cell model, which was observed as a diminution in the number of polygons and sprouting cells. Remarkably, miR-204 mimics also resulted in the inhibition of vasculogenic mimicry formation in MDA-MB-231 and Hs-578t CSCs, with a significant reduction in the number of channel-like structures and branch points. Mechanistically, the effects of miR-204 were associated with a diminution of pro-angiogenic VEGFA and ß-catenin protein levels. In conclusion, our findings indicated that miR-204 abrogates the angiogenesis and vasculogenic mimicry development in breast cancer stem-like cells, suggesting that it could be a potential tool for breast cancer intervention based on microRNA replacement therapies.

Caveolae Microdomains Mediate STAT5 Signaling Induced by Insulin in MCF-7 Breast Cancer Cells.

Caveolae are small plasma membrane invaginations constituted for membrane proteins namely caveolins and cytosolic proteins termed cavins, which can occupy up to 50% of the surface of mammalian cells. The caveolae have been involved with a variety of cellular processes including regulation of cellular signaling. Insulin is a hormone that mediates a variety of physiological processes through activation of insulin receptor (IR), which is a tyrosine kinase receptor expressed in all mammalian tissues. Insulin induces activation of signal transducers and activators of transcription (STAT) family members including STAT5. In this study, we demonstrate, for the first time, that insulin induces phosphorylation of STAT5 at tyrosine-694 (STAT5-Tyr(P)694), STAT5 nuclear accumulation and an increase in STAT5-DNA complex formation in MCF-7 breast cancer cells. Insulin also induces nuclear accumulation of STAT5-Tyr(P)694, caveolin-1, and IR in MCF-7 cells. STAT5 nuclear accumulation and the increase of STAT5-DNA complex formation require the integrity of caveolae and microtubule network. Moreover, insulin induces an increase and nuclear accumulation of STAT5-Tyr(P)694 in MDA-MB-231 breast cancer cells. In conclusion, results demonstrate that caveolae and microtubule network play an important role in STAT5-Tyr(P)694, STAT5 nuclear accumulation and STAT5-DNA complex formation induced by insulin in breast cancer cells.

Ficus crocata leaf extracts decrease the proliferation and invasiveness of breast cancer cells.

Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype due to its greater invasive capacity and non-response to hormone therapy. Several species of the Ficus genus have been used as an alternative to traditional medicine against malignant diseases. Previously, leaf extracts from Ficus crocata (Miq.) Mart. ex Miq. (F. crocata) showed antiproliferative activity in vitro against breast and cervical tumor cells without having a cytotoxic effect on non-tumor cell lines. The purpose of the study was to evaluate the effect of hexane (Hex-EFc), dichloromethane (Dic-EFc), and acetone (Ace-EFc) extracts from F. crocata on the proliferative and invasive capacity of breast cancer cells MCF-7 and MDA-MB-231. Materials and methods: The phytochemical profile was carried out by gas chromatography-mass spectrometry (GC-MS). Cell proliferation, migration, and invasion were determined by MTT, wound closure, and transwell assays, respectively. MMPs activity was analyzed using gelatin zymography, and fluorescence microscopy was used to visualize F-actin distribution. Results: Hex-EFc, Dic-EFc, and Ace-EFc showed cytotoxic activity on MDA-MB-231 tumor cells and, to a lesser extent, on MCF-7 cells, without presenting cytotoxicity at the same concentrations in MCF-10A non-tumor cells. Dic-EFc and Ace-EFc (5-10 µg/mL) reduced the migration capacity of MCF-7 and MDA-MB-231 cells. Interestingly, exposure to Dic-EFc and Ace-EFc (5-10 µg/mL) inhibited the invasive ability of MDA-MB-231 cells, reducing the secretion and activity of MMP-2 and MMP-9, as well as the F-actin distribution. Conclusions: Dic-EFc and Ace-EFc at low concentrations decreased breast cancer cell proliferation and invasiveness, mainly of MDA-MB-231 cells. The above supports the potential use of compounds from leaf extracts of F. crocata in neoadjuvant therapy to reduce the progression of breast cancer tumors, mainly triple-negative tumors.

Adipokines as Regulators of Autophagy in Obesity-Linked Cancer.

Excess body weight and obesity have become significant risk factors for cancer development. During obesity, adipose tissue alters its biological function, deregulating the secretion of bioactive factors such as hormones, cytokines, and adipokines that promote an inflammatory microenvironment conducive to carcinogenesis and tumor progression. Adipokines regulate tumor processes such as apoptosis, proliferation, migration, angiogenesis, and invasion. Additionally, it has been found that they can modulate autophagy, a process implicated in tumor suppression in healthy tissue and cancer progression in established tumors. Since the tumor-promoting role of autophagy has been well described, the process has been suggested as a therapeutic target in cancer. However, the effects of targeting autophagy might depend on the tumor type and microenvironmental conditions, where circulating adipokines could influence the role of autophagy in cancer. Here, we review recent evidence related to the role of adipokines in cancer cell autophagy in an effort to understand the tumor response in the context of obesity under the assumption of an autophagy-targeting treatment.

Extracellular vesicles from blood of breast cancer women induce angiogenic processes in HUVECs.

Breast cancer is the most frequent malignancy among women in developed countries and the main cause of death related to cancer in women worldwide. Extracellular vesicles (EVs) are vesicles with a variable size enclosed within a phospholipid bilayer that contain a variety of molecules with biological activity. Cancer cells release EVs that induce proliferation, escape from apoptosis, reprogramming energy metabolism, invasion and metastasis. In this study we studied whether EV fractions deprived of platelet EVs from breast cancer women (BC EVs) can mediate cell processes related with angiogenesis in human umbilical vein endothelial cells (HUVECs). Our findings demonstrate that BC EVs enhance migration, invasion and formation of new tubules in HUVECs, compared with EV fractions deprived of platelet EVs from healthy women (Ctrl EVs). In summary, we demonstrate, for the first time, that BC EVs induce cellular processes in HUVECs that participate in angiogenesis.

Extracellular vesicles from MDA-MB-231 breast cancer cells stimulated with insulin-like growth factor 1 mediate an epithelial-mesenchymal transition process in MCF10A mammary epithelial cells.

Insulin-like growth factor-1 (IGF-1) plays an important role in function and development of the mammary gland. However, high levels of IGF-1 has been associated with an increased risk of breast cancer development. Epithelial-mesenchymal transition (EMT) is a process where epithelial cells lose their epithelial characteristics and acquire a mesenchymal phenotype, which is considered one of the most important mechanisms in cancer initiation and promotion of metastasis. Extracellular vesicles (EVs) are released into the extracellular space by different cell types, which mediate intercellular communication and play an important role in different physiological and pathological processes, such as cancer. In this study, we demonstrate that EVs from MDA-MB-231 breast cancer cells stimulated with IGF-1 (IGF-1 EVs) decrease the levels of E-cadherin, increase the expression of vimentin and N-cadherin and stimulate the secretion of metalloproteinase-9 in mammary non-tumorigenic epithelial cells MCF10A. IGF-1 EVs also induce the expression of Snail1, Twist1 and Sip1, which are transcription factors involved in EMT. Moreover, IGF-1 EVs induce activation of ERK1/2, Akt1 and Akt2, migration and invasion. In summary, we demonstrate, for the first time, that IGF-1 EVs induce an EMT process in mammary non-tumorigenic epithelial cells MCF10A.

Risk-Profile and Feature Selection Comparison in Diabetic Retinopathy.

One of the main microvascular complications presented in the Mexican population is diabetic retinopathy which affects 27.50% of individuals with type 2 diabetes. Therefore, the purpose of this study is to construct a predictive model to find out the risk factors of this complication. The dataset contained a total of 298 subjects, including clinical and paraclinical features. An analysis was constructed using machine learning techniques including Boruta as a feature selection method, and random forest as classification algorithm. The model was evaluated through a statistical test based on sensitivity, specificity, area under the curve (AUC), and receiving operating characteristic (ROC) curve. The results present significant values obtained by the model obtaining 69% of AUC. Moreover, a risk evaluation was incorporated to evaluate the impact of the predictors. The proposed method identifies creatinine, lipid treatment, glomerular filtration rate, waist hip ratio, total cholesterol, and high density lipoprotein as risk factors in Mexican subjects. The odds ratio increases by 3.5916 times for control patients which have high levels of cholesterol. It is possible to conclude that this proposed methodology is a preliminary computer-aided diagnosis tool for clinical decision-helping to identify the diagnosis of DR.

Identification of People with Diabetes Treatment through Lipids Profile Using Machine Learning Algorithms.

Diabetes incidence has been a problem, because according with the World Health Organization and the International Diabetes Federation, the number of people with this disease is increasing very fast all over the world. Diabetic treatment is important to prevent the development of several complications, also lipid profile monitoring is important. For that reason the aim of this work is the implementation of machine learning algorithms that are able to classify cases, that corresponds to patients diagnosed with diabetes that have diabetes treatment, and controls that refers to subjects who do not have diabetes treatment but some of them have diabetes, bases on lipids profile levels. Logistic regression, K-nearest neighbor, decision trees and random forest were implemented, all of them were evaluated with accuracy, sensitivity, specificity and AUC-ROC curve metrics. Artificial neural network obtain an acurracy of 0.685 and an AUC value of 0.750, logistic regression achieve an accuracy of 0.729 and an AUC value of 0.795, K-nearest neighbor gets an accuracy of 0.669 and an AUC value of 0.709, on the other hand, decision tree reached an accuracy pg 0.691 and a AUC value of 0.683, finally random forest achieve an accuracy of 0.704 and an AUC curve of 0.776. The performance of all models was statistically significant, but the best performance model for this problem corresponds to logistic regression.

Role of Src/FAK in migration and invasion mediated by extracellular vesicles from MDA-MB-231 cells stimulated with linoleic acid.

Linoleic acid (LA) is the most abundant polyunsaturated fatty acid in occidental diets, which mediate a variety of processes in human breast cancer cells, including migration and invasion. Extracellular vesicles (EVs) are vesicles released from endosomes and plasma membrane that are composed of a variety of molecules, including proteins, nucleic acids and lipids. EVs from cancer cells promote processes related with cancer progression. In the present study, we demonstrate that treatment of MDA-MB-231 cells with EVs from MDA-MB-231 cells stimulated with LA (LA EVs) promote migration and invasion via Src activity. LA EVs induce activation of FAK via Src activity and of Src and Akt2. LA EVs also induce the assembly of focal adhesions and MMP-9 secretion. These findings demonstrate that LA EVs mediate an autocrine and/or paracrine Src/FAK signaling pathway to promote migration and invasion.

Distal Symmetric Polyneuropathy Identification in Type 2 Diabetes Subjects: A Random Forest Approach.

The prevalence of diabetes mellitus is increasing worldwide, causing health and economic implications. One of the principal microvascular complications of type 2 diabetes is Distal Symmetric Polyneuropathy (DSPN), affecting 42.6% of the population in Mexico. Therefore, the purpose of this study was to find out the predictors of this complication. The dataset contained a total number of 140 subjects, including clinical and paraclinical features. A multivariate analysis was constructed using Boruta as a feature selection method and Random Forest as a classification algorithm applying the strategy of K-Folds Cross Validation and Leave One Out Cross Validation. Then, the models were evaluated through a statistical analysis based on sensitivity, specificity, area under the curve (AUC) and receiving operating characteristic (ROC) curve. The results present significant values obtained by the model with this approach, presenting 67% of AUC with only three features as predictors. It is possible to conclude that this proposed methodology can classify patients with DSPN, obtaining a preliminary computer-aided diagnosis tool for the clinical area in helping to identify the diagnosis of DSPN.

Linoleic acid induces secretion of extracellular vesicles from MDA-MB-231 breast cancer cells that mediate cellular processes involved with angiogenesis in HUVECs.

Extracellular vesicles (EVs) are vesicles secreted by normal and malignant cells that are implicated in tumor progression. Linoleic acid (LA) is an essential polyunsaturated fatty acid that induces migration, invasion and an increase in phospholipase D activity in breast cancer cells. In this study, we determined whether stimulation of MDA-MB-231 breast cancer cells with LA induces the secretion of EVs, which can mediate cell processes related with angiogenesis in human umbilical vein endothelial cells (HUVECs). Our findings demonstrate that treatment of MDA-MB-231 cells with 90 µM LA for 48 h induce an increase in the number of EVs released. Moreover, EVs from MDA-MB-231 stimulated with 90 µM LA induce FAK and Src activation and migration via FAK and Src activity, whereas the secretion of these EVs is through FFAR1 and FFAR4 activation in HUVECs. The EVs from MDA-MB-231 cells treated with LA also increase proliferation, invasion, MMP-9 secretion, an increase of MMP-2 secretion and formation of new tubules in HUVECs. In summary, we demonstrate, for the first time, that treatment with LA induces the release of EVs from MDA-MB-231 cells that induce cellular processes involved with angiogenesis in HUVECs.

Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health conditions that involve low organ yield until the patient death. Based on this problem, this work proposes the architecture of an Artificial Neural Network (ANN) for the automated classification of healthy patients from diabetics patients. The analysis was performed used a set of 19 para-clinical features to determine the health status of the patients. The developed model was evaluated through a statistical analysis based on the calculation of the loss function, accuracy, area under the curve (AUC) and receiving operating characteristics (ROC) curve. The results obtained present statistically significant values, with accuracy of 0.94 and AUC values of 0.98. Based on these results, it is possible to conclude that the ANN implemented in this work can classify patients with presence of diabetes from controls with significant accuracy, presenting preliminary results for the development of a diagnostic tool that can be supportive for health specialists.

[-25]A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks.

Human Activity Recognition (HAR) is one of the main subjects of study in the areas of computer vision and machine learning due to the great benefits that can be achieved. Examples of the study areas are: health prevention, security and surveillance, automotive research, and many others. The proposed approaches are carried out using machine learning techniques and present good results. However, it is difficult to observe how the descriptors of human activities are grouped. In order to obtain a better understanding of the the behavior of descriptors, it is important to improve the abilities to recognize the human activities. This paper proposes a novel approach for the HAR based on acoustic data and similarity networks. In this approach, we were able to characterize the sound of the activities and identify those activities looking for similarity in the sound pattern. We evaluated the similarity of the sounds considering mainly two features: the sound location and the materials that were used. As a result, the materials are a good reference classifying the human activities compared with the location.

[Mathew's clip, an alternative for removal of IUDs with no visible threads. Experience of Family Planning Service]. / Pinza de Mathew, una alternativa en retiro de dispositivos intrauterinos de hilos no visibles. Experiencia de un servicio de planificación familiar.

BACKGROUND: The absence of IUD visible threads in the cervix is a complication of the intrauterine device. The IUD withdrawal in these cases was performed with Novak cannula or curettage instrumented under anesthesia and surgery. Its extraction with Mathew clip is an alternative. OBJECTIVE: To demostrate the effectiveness of the Mathew's clip as an alternatively for removal of intrauterine devices not visible threads. MATERIAL AND METHODS: A cross-sectional, retrospective, descriptive study was conducted in from February 2012 to July 2014 at the Family Planning Service of Gynecology and Obstetrics of the General Hospital of Mexico "Dr. Eduardo Liceaga ". RESULTS: 106 patients (54%) had no visible threads; in 84 patients (81.5 %) it was removed with Novak, cannula; in 19 patients (18.4%) in which it was not possible, the removal was done with a Mathew's clip. DISCUSSION: Mathew' clip is an alternative in cases where it was not possible to remove the IUD with Novak cannula, 19 IUDs no visible threads were removed. CONCLUSIONS. Mathew clip for removal of intrauterine devices with no visible threads means less risk to the patient and a decrease in institutional costs.

[Contraception and breastfeeding. Spacing of pregnancies. Present concepts]. / Anticoncepción y lactancia. Espaciamiento de los embarazos. Conceptos actuales.

The risk of pregnancy in breastfeeding should be a concern of women. Family planning programs in the post natal period contraceptive choices offer high efficiency. Breastfeeding is a natural contraception method (LAM) as a contraceptive shield has 98% efficiency. Women should consider using an alternate contraceptive method when feeding requirements for this method to be effective are not met. Some of contraceptive alternatives in lactation include hormonal methods. According to the Medical Eligibility Criteria for Contraceptive Use WHO combined hormonal methods are contraindicated during breastfeeding, hormonal progestogen only methodo are considered only in Group 3 and Group 1 immediate postpartum after 6 weeks postpartum. There are modifications to these criteria by the CDC and the UK for the use of these hormones in early in lactation.

[Contraception and breast feeding. Spacing of pregnancies. Present concepts]. / Anticoncepción y lactancia. Espaciamiento de los embarazos. Conceptos actuales.

The risk of pregnancy in breastfeeding should be a concern of women. Family planning programs in the postnatal period contraceptive choices offer high efficiency. Breastfeeding is a natural contraception method (LAM) as a contraceptive shield has 98 % efficiency. Women should consider using an alternate contraceptive method when feeding requirements for this method to be effective are not met. Some of contraceptive alternatives in lactation include hormonal methods. According to the Medical Eligibility Criteria for Contraceptive Use WHO combined hormonal methods are contraindicated during breast feeding, hormonal progestogen only method are considered only in Group 3 and Group 1 immediate postpartum after 6 weeks postpartum. There are modifications to these criteria by the CDC and the UK for the use of these hormones in early in lactation.

Uso de sugamadex em doença de Strumpell-Lorrain: relato de dois casos / Use of sugammadex in Strumpell-Lorrain disease: a report of two cases / Uso de sugamadex en enfermedad de Strumpell-Lorrain: relato de dos casos

CONTEÚDO: A doença de Strumpell-Lorrain, ou paraparesia espástica familiar (PEF), é uma doença hereditária neurológica rara, caracterizada principalmente por graus variáveis de rigidez e enfraquecimento dos músculos, com comprometimento cognitivo, surdez e ataxia nos casos mais graves. Descrevemos os casos de duas irmãs com PEF, agendadas para colecistectomia e colectomia subtotal, respectivamente. Também descrevemos o manejo anestésico em ambos os casos e revisamos a literatura sobre essa doença em relação à anestesia.

CONTENT: Strumpell-Lorrain disease - or familial spastic paraplegia (FSP) - is a rare hereditary neurological disorder, mainly characterized by variable degrees of stiffness and weakening of the muscles, with cognitive impairment, deafness, and ataxia in the more severe cases. We describe two female siblings with FSP programmed for cholecystectomy and subtotal colectomy, respectively, and also how we dealt with the anesthetic management in both cases and review the literature on this disease in relation to anesthesia.

CONTENIDO: La enfermedad de Strumpell-Lorrain, o paraparesia espástica familiar (PEF), es una enfermedad hereditaria neurológica rara, caracterizada principalmente por grados variables de rigidez y debilitamiento de los músculos, con el compromiso cognitivo, la sordera y la ataxia en los casos más graves. Describimos aquí dos casos de dos hermanas con PEF, citadas para colecistectomía y colectomía subtotal respectivamente. Describimos también el manejo anestésico en ambos casos y revisamos la literatura sobre esa enfermedad con relación a la anestesia.

Use of sugammadex in Strumpell-Lorrain disease: a report of two cases.

CONTENT: Strumpell-Lorrain disease--or familial spastic paraplegia (FSP)--is a rare hereditary neurological disorder, mainly characterized by variable degrees of stiffness and weakening of the muscles, with cognitive impairment, deafness, and ataxia in the more severe cases. We describe two female siblings with FSP programmed for cholecystectomy and subtotal colectomy, respectively, and also how we dealt with the anesthetic management in both cases and review the literature on this disease in relation to anesthesia.