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Breast Cancer - Astrophysics Data System

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Last Updated: 10 November 2022

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ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification

Breast cancer is the most common cancer worldwide and the second most common cause of death in women. Patient care and treatment are dependent on timely and accurate diagnosis of breast cancer using histopathological images. This approach is an ensemble of two main types of pre-trained vision transformer models, namely, Vision Transformer and Data-Efficient Image Transformer.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv221100749A/abstract


A targeted nanoplatform co-delivery of pooled siRNA and doxorubicin for reversing of multidrug resistance in breast cancer

Multi-drug resistance has been the biggest obstacle to the success of cancer patients receiving conventional chemotherapeutics or novel targeted drugs. In vitro, the intended nanoplatform demonstrated a robust suppressing effectiveness for the invasion, proliferation, and colony of adriamycin-resistant breast cancer cell line cells. based on biocompatible u03b5-polysine polymers, the aim of this research is to develop a novel and simple approach to assemble a novel and effective gene and drug delivery system for MDR breast cancer.

Source link: https://ui.adsabs.harvard.edu/abs/2022NaRes..15.6306L/abstract


Palladium and platinum complexes of folic acid as new drug delivery systems for treatment of breast cancer cells

Cisplatin is used as an agent in the treatment of multiple cancers by intercalation of DNA strands and blockage of DNA replication. We were able to synthesize two new complexes of platinum and palladium containing folic acid due to several factors, including inhibition of apoptosis by anti-inflammatory pathways and inability to distinguish normal cells from cancerous ones. The presence of FA in MCF-7 breast cancer cells has been shown to increase cytotoxicity, apoptosis, and cellular uptake of cisplatin.

Source link: https://ui.adsabs.harvard.edu/abs/2021JMoSt122929806H/abstract


Effect of contact resistance on the electrical conductivity of polymer graphene nanocomposites to optimize the biosensors detecting breast cancer cells

By the extension of nanosheets, this research explores the contact regions of neighboring nanoparticles in polymer graphene nanocomposites. The total resistance of the long nanosheets is represented by the resistance of graphene and the contact zones. The experimental conductivity results for several samples support the conductivity claims, in addition to the roles attributed to various factors in conductivity. Generally, the polymer sheet in tunnels determines the total resistance of the extended nanosheets, since graphene is usually without resistance and shows negligible resistance. The improved model can be used to enhance the biosensors that detect the breast cancer cells.

Source link: https://ui.adsabs.harvard.edu/abs/2022NatSR..12.5406Z/abstract


Antioxidant and cytotoxic activity of isoindole compounds in breast cancer cells (MCF-7)

It is well known that heterocyclic scaffolds play a large presence in the field of medicinal chemistry. MCF-7 and MCF-12A cell lines are tested for antioxidant and cytotoxic activity, according to the results presented here. The aim of the study is to find a new drug candidate form isoindole-derived heterocycle compounds with antioxidant and cytotoxic properties. In addition, the cytotoxic activity against MCF-7 and MCF-12A was tested by comparing MTT assay and MCF-12A with different concentrations of the compounds for 24 hours. 100 u03bcM was the antitumor effect on the MCF-7 cancer cell line. MCF-7 cells have cytotoxic effects as a result of the study's findings, and after analyzing compounds with selective and significant antioxidant properties, we discovered that they also have cytotoxic effects on MCF-7 cells. DFT-based approaches determined the molecular geometry of pyrrolo isoindole hybrid compounds by a single-crystal XRD technique and some reactivity characteristics.

Source link: https://ui.adsabs.harvard.edu/abs/2020JMoSt121728366M/abstract


A Transcriptome- and Interactome-Based Analysis Identifies Repurposable Drugs for Human Breast Cancer Subtypes

The computational techniques that have been recently developed for drug repurposing have provided a promising possibility to provide tools that can quickly screen potential novel medical indications for various drugs that are already approved and used in clinical research. Here, we started with disease-associated genes that were uncovered by a transcriptome-based analysis, which we used to forecast potential repurposable drugs for various breast cancer subtypes by using a procedure that we invented for drug repurposing called SAveRUNNER.

Source link: https://ui.adsabs.harvard.edu/abs/2022Symm...14.2230C/abstract


The anti-cancer effect of LaSota strain of Newcastle Disease Virus (NDV) against Iraqi breast cancer cell line AMJ13

The current research aims to determine the oncolytic effects of NDV strain LaSota against an Iraqi human breast cancer cell line. Different Multiplicity of infection incubated for 72 hours post-infection assay by Methyl thiazoly ltetrazolium assay used by Methyl thiazoly ltetrazolium assay on incubated for 72 hours post-infection. The infective dose values and anti-tumor activity of a LaSota strain against a AMJ13 cell line were determined. Using acridine orange, human breast cancer cells AMJ13 were analyzed. The NDV strain LaSota was induced to die in infected chicken embryos. After 72hrs using the oncolytic test, the virus was discovered to have a significant inhibition against Amj13 growth; the infection rate was 50. 6 percent. The increase in gene expression of caspase 9 was revealed by a semi-quantitative PCR method. In summary, NDV LaSota strain had oncolytic activity by killing cancer cells in AMJ13 cancer cells, and activating the death cells pathway could result from caspase-independent apoptosis.

Source link: https://ui.adsabs.harvard.edu/abs/2022AIPC.2398d0006G/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions