Network analyses of brain tumor multiomic data reveal pharmacological opportunities to alter cell state transitions by Brandon Bumbaca, Jonah R. Huggins, Marc R. Birtwistle, James M. Gallo

“…Simulation results were input into a boosted tree machine learning model which predicted the cell states or phenotypes of GBM patients from an independent public data source, the Glioma Longitudinal Analysis (GLASS) Consortium. Combining the simulation results and the machine learning predictions, we generated hypotheses for clinically relevant causal mechanisms of cell state transitions. …”
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Experimental study on monitoring microwave ablation efficacy by real-time shear wave elastography in ex vivo porcine brain by Rui Li, Yukang Zhang, Linggang Cheng, Shuai Zheng, Hongbing Li, Hongxia Zhang, Lijuan Du, Wen He, Wei Zhang

“…Objective: Glioma constitutes the most common primary malignant tumor in the central nervous system. …”
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Identification of a Novel Anticancer Oligopeptide from Perilla frutescens (L.) Britt. and Its Enhanced Anticancer Effect by Targeted Nanoparticles In Vitro by Dong-Liang He, Ri-Ya Jin, Hui-Zhen Li, Qing-Ye Liu, Zhi-Jun Zhang

“…Compared with free PSO, HA/PSO/C NPs showed notably enhanced cytotoxicity and had the strongest potency to human glioma cell line U251. Conclusion. This study demonstrated that PSO, a novel oligopeptide from Perilla seeds, has a broad-spectrum anticancer effect and could be encapsulated by NPs, which enhanced tumor targeting cytotoxicity with obvious controlled release. …”
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SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification by Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, Anila Usman, Ambreen Khawar, Syed Taimoor Hussain Shah, Aziz ul Rehman

“…In this work, we propose Superimposed AlexNet (SAlexNet-1 and its extension SAlexNet-2) to detect the malignancy of primary brain tumors (Glioma, Meningioma, and Pituitary) by incorporating three enhancements: (1) fusing Hybrid Attention Mechanism (HAM), (2) dense feature extraction by replacing initial convolution 11 × 11 layer with multiple convolution 3 × 3 layers for extra non-linearity alleviating parameter burden, and (3) pretraining the encoder path on a correlated dataset via semi-transfer learning (STL) enhancing model performance. …”
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Synthesis and Characterization of Paclitaxel-Loaded Silver Nanoparticles: Evaluation of Cytotoxic Effects and Antimicrobial Activity by Tutku Tunç, Ceylan Hepokur, Afşin Kari̇per

“…We investigated the antiproliferative activities of silver nanoparticles synthesized by adding paclitaxel on MCF-7 (breast adenocarcinoma cell line), A549 (lung carcinoma cell line), C6 (brain glioma cell line) cells, and healthy WI-38 (fibroblast normal cell line) cell lines and their antimicrobial activities on 10 different microorganisms. …”
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Human Serum Albumin and Human Serum Albumin Nanoparticles as Carriers of 10-(2′-Pyrimidyl)-3,6-diazaphenothiazine: In Vitro Spectroscopic Studies by Aleksandra Owczarzy, Karolina Kulig, Beata Morak-Młodawska, Małgorzata Jeleń, Tammam Muhammetoglu, Wojciech Rogóż, Małgorzata Maciążek-Jurczyk

“…Due to nontoxicity and biocompatibility, this protein can be used as a nanocarrier. 10-(2′-Pyrimidyl)-3,6-diazaphenothiazine (10-Pyr-3,6-DAPT) is a phenothiazine showing high anticancer potential in vitro against glioma, melanoma and breast cancer cells. Additionally, this compound is characterized by selectivity of action towards MCF-7 breast cancer and has low cytotoxicity towards normal cells. …”
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MicroRNA Regulation of Endothelial Junction Proteins and Clinical Consequence by Yugang Zhuang, Hu Peng, Victoria Mastej, Weiguo Chen

“…Abnormal tight junction miRNA regulation accompanies cerebral middle artery ischemia, brain trauma, glioma metastasis, and so forth. The major components of adherens junctions include VE-cadherin, β-catenin, plakoglobin, P120, and vinculin. …”
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Application of MRI image segmentation algorithm for brain tumors based on improved YOLO by Tao Yang, Xueqi Lu, Lanlan Yang, Miyang Yang, Jinghui Chen, Hongjia Zhao

“…ObjectiveTo assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.MethodsThe research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. Dataset 1 contains a total of 3,223 images, and Dataset 2 contains 216 images. …”
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CYP3A5 promotes glioblastoma stemness and chemoresistance through fine-tuning NAD+/NADH ratio by Wentao Hu, Xiaoteng Cui, Hongyu Liu, Ze Li, Xu Chen, Qixue Wang, Guolu Zhang, Er Wen, Jinxin Lan, Junyi Chen, Jialin Liu, Chunsheng Kang, Ling Chen

“…Methods A multi-step process of machine learning algorithms was implemented to construct the glioma stemness-related score (GScore). Further in silico and patient tissue analyses validated the predictive ability of the GScore and identified a potential target, CYP3A5. …”
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Hybrid azole-based conjugates as upcoming anticancer and antimicrobial agents by Luís M. T. Frija, Bruno E. C. Guerreiro, Inês C. C. Costa, Vera M. S. Isca, Lucília Saraiva, Beatriz G. Neves, Mariana Magalhães, Célia Cabral, Maria L. S. Cristiano, Patrícia Rijo

“…The anticancer activity of the compounds was assessed through i) proliferation assays for HCT116, MCF-7, and A375 human cell lines [cells were treated with serial dilutions of compounds and the effect on cell propagation was evaluated by sulforhodamine B (SRB) assay]; ii) antiproliferative and cytotoxic assays for glioma-type cell lines A172 (glioblastoma), U87 (brain-likely glioblastoma), and H4 (neuroglioma; cells were treated with diverse concentrations and the cell viability was assessed using a modified Alamar blue® assay). …”
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Preoperative and intraoperative neuromonitoring and mapping techniques impact oncological and functional outcomes in supratentorial function-eloquent brain tumours: a systematic re... by Asfand Baig Mirza, Amisha Vastani, Rishabh Suvarna, Sami Rashed, Aws Al-Omari, Engelbert Mthunzi, Feras Fayez, Nicala Rampersad, Josephine Jung, Alba Díaz Baamonde, José Siado Mosquera, Ali Elhag, Francesco Marchi, Richard Gullan, Keyoumars Ashkan, Ranjeev Bhangoo, Francesco Vergani, Ana Mirallave-Pescador, José Pedro Lavrador

“…Within the same tumour histology–metastasis, high grade and low grade glioma–there are no differences in the GTR rates achieved in the different groups (p > 0.05). …”
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An integrative analysis reveals cancer risk associated with artificial sweeteners by Jumin Xie, Ying Zhu, Zixuan Yang, Zhang Yu, Mingzhi Yang, Qingzhi Wang

“…Conclusion This study integrated data mining, machine learning, network toxicology, molecular docking, molecular dynamics simulations, and clinical sample analysis to demonstrate that AS increases the risk of kidney cancer, low-grade glioma, breast cancer, and prostate cancer through multiple targets and signaling pathways. …”
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