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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells
Published 2014“…The increase in apoptosis in response to treatment was also apparent in the increase in BAX and the decrease in Bcl-2 levels as well as the proteolytic cleavage of both caspase-3 and PARP as revealed by Western blot. …”
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Dynamic model scaling based on segmented tumor size for breast cancer detection
Published 2025“…The segmentation model, trained on a specialized dataset of breast cancer regions, identifies tumor regions in testing images from breast cancer detection datasets. …”
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The identification of highly upregulated genes in claudin-low breast cancer through an integrative bioinformatics approach
Published 2020“…This study aimed to identify upregulated genes and significant pathways involved in CLBC. The SUM159 cell line is derived from human CLBC tissue; the GSE50697 dataset contains three replicates of SUM159 cells treated with pBabe puro miR-203 and three replicates of control SUM159 cells (pBabe puro). …”
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Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques
Published 2022“…This research proposed an efficient feature selection and prediction model for cervical cancer datasets using Boruta analysis and SVM method to deal with this challenge. …”
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Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry
Published 2022“…We applied a unique approach that combines the use of curated survival data from The Cancer Genome Atlas (TCGA) Pan-Cancer clinical data resource, improved single-nucleotide polymorphism-based inferred ancestry assignment, and a novel breast cancer subtype classification to interrogate the TCGA and a local Arab breast cancer dataset. …”
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The identification of highly upregulated genes in claudin-low breast cancer through an integrative bioinformatics approach
Published 2020“…This study aimed to identify upregulated genes and significant pathways involved in CLBC. The SUM159 cell line is derived from human CLBC tissue; the GSE50697 dataset contains three replicates of SUM159 cells treated with pBabe puro miR-203 and three replicates of control SUM159 cells (pBabe puro). …”
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2024“…It is present in 15 to 20% of breast cancers and is clinically significant due to the availability of multiple anti-Her2 treatment options. …”
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2023“…It is present in 15 to 20% of breast cancers and is clinically significant due to the availability of multiple anti-Her2 treatment options. …”
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Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting
Published 2022“…</p><h3>Methods</h3><p dir="ltr">We developed a multi-step process to identify immune-related long non-coding RNA signatures with prognostic connotation in multiple TCGA solid cancer datasets.</p><h3>Results</h3><p dir="ltr">Using the breast cancer dataset as a discovery cohort we found 2988 differentially expressed lncRNAs between immune favorable and unfavorable tumors, as defined by the immunologic constant of rejection (ICR) gene signature. …”
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A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection
Published 2025“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”
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LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution
Published 2024“…The generalization capabilities of LSCS-Net are testified by the excellent performance on breast cancer and thyroid nodule segmentation datasets. The empirical findings confirm that LSCS-net attains state-of-the-art results, as demonstrated by a significantly elevated Jaccard index.…”
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Distinct genomic features across cytolytic subgroups in skin melanoma
Published 2022“…We found a broader pattern of chromothripsis across CYT-low tumors, where chromosomal regions harboring chromothriptic events, contained a higher number of cancer genes. SBS7a/b, SBS5 and SBS1 were the most prevalent mutational signatures across both cytolytic subgroups, but SBS1 differed significantly between them. …”