(23R,231 S,25S)-231,26-Ep-oxy-23-ethyl-furost-20(22)-en-3ß-ol.

The title compound, C29H46O3, is a steroid synthesized through a rearrangement of a sarsasapogenin derivative in acidic medium. The newly formed ring F is a tetra-hydro-2H-pyran heterocycle substituted by two methyl groups placed in equatorial positions. This ring displays a chair conformation, while di-hydro-furan ring E, to which it is bonded, has an envelope conformation. The mol-ecules are associated by weak O-H⋯O hydrogen bonds to form chains running in the [101] direction in the crystal.

In silico Prediction on the PI3K/AKT/mTOR Pathway of the Antiproliferative Effect of O. joconostle in Breast Cancer Models.

The search for new cancer treatments from traditional medicine involves developing studies to understand at the molecular level different cell signaling pathways involved in cancer development. In this work, we present a model of the PI3K/Akt/mTOR pathway, which plays a key role in cell cycle regulation and is related to cell survival, proliferation, and growth in cancer, as well as resistance to antitumor therapies, so finding drugs that act on this pathway is ideal to propose a new adjuvant treatment. The aim of this work was to model, simulate and predict in silico using the Big Data-Cellulat platform the possible targets in the PI3K/Akt/mTOR pathway on which the Opuntia joconostle extract acts, as well as to indicate the concentration range to be used to find the mean lethal dose in in vitro experiments on breast cancer cells. The in silico results show that, in a cancer cell, the activation of JAK and STAT, as well as PI3K and Akt is related to the effect of cell proliferation, angiogenesis, and inhibition of apoptosis, and that the extract of O. joconostle has an antiproliferative effect on breast cancer cells by inhibiting cell proliferation, regulating the cell cycle and inhibiting apoptosis through this signaling pathway. In vitro it was demonstrated that the extract shows an antiproliferative effect, causing the arrest of cells in the G2/M phase of the cell cycle. Therefore, it is concluded that the use of in silico tools is a valuable method to perform virtual experiments and discover new treatments. The use of this type of model supports in vitro experimentation, reducing the costs and number of experiments in the real laboratory.

Azasteroids from diosgenin: Synthesis and evaluation of their antiproliferative activity.

In this work, we report the synthesis of two new azasteroids through the modification of the A and B rings of diosgenin 1. The 4-azasteroid derivative 12 was prepared in three steps using the α,ß-insaturated-3-keto compound 11 as a precursor, which was first oxidized with KMnO4/KIO4 followed by an oxidative cleavage of ring A, and subsequently cyclized with an ammonium salt, under focused microwave irradiation for a short time of 3 min. A second azasteroid was synthesized, for which the key step was the Beckmann rearrangement of ring B of the oxime 16, affording the lactam-type enamide 17 in good yield. The methodologies developed for the synthesis of the precursors derivatives 10 and 11 contribute to improved yields, compared to those reported in the literature. The biological activity of the azasteroidal compounds 12 and 17 and their precursors has been evaluated in cervical cancer cells (HeLa), colon (HCT-15), and triple negative breast cancer (MDA-MB-231) lines.

Synthesis and biological in vitro evaluation of the effect of hydroxyimino steroidal derivatives on breast cancer cells.

Breast cancer is the most common cause of cancer death in women, according to Global Cancer Observatory. This fact forces scientists to continue in the search for effective treatments against this aggressive type of cancer. Breast cancer frequently metastasizes to other organs, most often the bones, lungs, and liver. Breast cancer is normally associated with estrogen and progestogen levels and can be hormone or non-hormone dependent. In current experiments herein reported, some hydroxyimino spirostan derivatives showed great potential against MCF-7 breast cancer, a Luminal-A cancer. On the other hand, a set of synthesized 6-hydroxyimino-22-oxocholestane compounds had excellent activity against the MDA-MB-231 breast cancer cell line. The synthesis of hydroxyamino derivatives from spirostan and 22-oxocholestane compounds was improved. The hydroxyimino compounds enhanced the bioactivity when compared with their parent carbonyl skeletons.

Association between promoter hypermethylation of the DACT2 gene and tumor stages in breast cancer.

PURPOSE: Aberrant methylation of CpG islands in the promoter is a hallmark of cancer, leading to transcriptional silencing of tumor suppressor genes. The aim of this work was to evaluate the promoter methylation status of the DACT2 gene in breast cancer (BC) tissue and to analyze its possible effect on tumor type or grade. METHODS: CpG island from the DACT2 promoter in region -240 to -14 from transcriptional start site (TSS) were obtained. Through the use of sodium bisulfite DNA conversion analysis, followed by detection with MSP (methylation specific PCR), we analyzed 79 BC and 15 adjacent healthy samples. RESULTS: T he c ases a nalyzed w ere i n s tage I ( 2.5%), I I (38%), or III (59.5%). The most frequent tumor type was invasive ductal carcinoma (71.4%). Methylation analysis comparing tumor tissues with adjacent non-cancerous tissues showed statistical significance. Methylation was observed in 32.9% (26/79) of the samples; no methylation was found in adjacent healthy tissue. DACT2 methylation was associated with tumor stage I-II (p=0.03) and stage III (p=0.004). CONCLUSION: An association was found of DACT2 promoter methylation with advanced tumor stages. This gene has been suggested as a potential biomarker, however, more investigation is required to validate this function.

Modeling Intercellular Communication as a Survival Strategy of Cancer Cells: An In Silico Approach on a Flexible Bioinformatics Framework.

Intercellular communication is very important for cell development and allows a group of cells to survive as a population. Cancer cells have a similar behavior, presenting the same mechanisms and characteristics of tissue formation. In this article, we model and simulate the formation of different communication channels that allow an interaction between two cells. This is a first step in order to simulate in the future processes that occur in healthy tissue when normal cells surround a cancer cell and to interrupt the communication, thus preventing the spread of malignancy into these cells. The purpose of this study is to propose key molecules, which can be targeted to allow us to break the communication between cancer cells and surrounding normal cells. The simulation is carried out using a flexible bioinformatics platform that we developed, which is itself based on the metaphor chemistry-based model.

Applying the tuple space-based approach to the simulation of the caspases, an essential signalling pathway.

Apoptotic cell death plays a crucial role in development and homeostasis. This process is driven by mitochondrial permeabilization and activation of caspases. In this paper we adopt a tuple spaces-based modelling and simulation approach, and show how it can be applied to the simulation of this intracellular signalling pathway. Specifically, we are working to explore and to understand the complex interaction patterns of the caspases apoptotic and the mitochondrial role. As a first approximation, using the tuple spaces-based in silico approach, we model and simulate both the extrinsic and intrinsic apoptotic signalling pathways and the interactions between them. During apoptosis, mitochondrial proteins, released from mitochondria to cytosol are decisively involved in the process. If the decision is to die, from this point there is normally no return, cancer cells offer resistance to the mitochondrial induction.

The application of abstract topology to RAS-related signal transduction pathways.

Ras is a protein related to cancer development. It is a convergence point for different signal transduction pathways that allow the cell to respond to external stimuli with different cell functions like growth, division, death, etc. In this paper, we analyze the signal pathways generated by different Ras effectors (Raf, RalGDS and PI3K), and the pathway relating Ras to the cell cycle control. We show that the interaction among different elements of these pathways induces a topologic structure in the set of elements. We discuss properties of this topology and give an algorithm to build it. The application of topological concepts makes easier the interaction analysis. Using a computational algorithm, we can create isolated, independently manageable sub-groups. Then we construct their hierarchical structure. The procedure allows us to visualize groups of elements related to the Ras effectors involved in cell growth, the elements involved in the cytoskeleton regulation, and the elements related to the cell cycle control. Thus the division in sub-groups does not only make easier the analysis, but it also provides a biologically meaningful subdivision.