Review
Biochemistry & Molecular Biology
Marianna Makowska, Beata Smolarz, Hanna Romanowicz
Summary: Glioblastoma multiforme (GBM) is a common, malignant brain tumor with a poor prognosis. Traditional treatments have limited success due to the tumor's infiltrating growth and resistance. The search for new therapies is crucial.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Oncology
Satya Siva Kishan Yalamarty, Nina Filipczak, Xiang Li, Md Abdus Subhan, Farzana Parveen, Janaina Artem Ataide, Bharat Ashok Rajmalani, Vladimir P. Torchilin
Summary: Glioblastoma multiforme (GBM) is a highly aggressive form of brain cancer that is difficult to treat due to its resistance to traditional cancer treatments. The unique biology of GBM cells and the blood-brain barrier contribute to this resistance. However, there are several treatment options available, including surgery, chemoradiotherapy, adjuvant chemotherapy, immunotherapy, targeted therapies, and tumor-treating fields. Ongoing clinical trials aim to improve outcomes for GBM patients.
Article
Biochemistry & Molecular Biology
Youngik Yoon, Chae Rin Yoo, Eun Chae Kim, Jaehwan Han, Keejung Yoon
Summary: This study investigates the role of the gene STAC1 in glioblastoma cell invasion and survival. It is found that STAC1 overexpression promotes invasion and inhibits apoptosis, while knockdown of STAC1 has the opposite effect. The study also reveals that STAC1 regulates AKT and calcium channel signaling in glioblastoma cells. These findings provide valuable insights into the pathogenic roles of STAC1 in high-grade glioblastoma and highlight its potential as a promising therapeutic target.
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
(2023)
Article
Biochemistry & Molecular Biology
Yi-Ping Huang, Yi-Shih Ma, Chao-Lin Kuo, Ching-Lung Liao, Po-Yuan Chen, Shu-Fen Peng, Fei-Ting Hsu, Kuang-Chi Lai
Summary: In a mouse model experiment, DMC was found to significantly suppress human glioblastoma multiforme cells, with a better effect at a higher dose, while not affecting body weight. Additionally, DMC treatment had an impact on the expression of tumor-related proteins.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Immunology
Xingliang Dai, Lei Ye, Huaixu Li, Xuchen Dong, Haotian Tian, Peng Gao, Jun Dong, Hongwei Cheng
Summary: Single-cell whole-transcriptome sequencing revealed interactions between putative NSCs and microglial cells in the peri-tumoral tissue of glioblastoma multiforme. Ligand receptor network analysis showed significant interactions between APOC1+CCL3+ microglia and NSCs. Correlation analysis with potential molecular targets demonstrated their roles in the recurrence of GBM.
CLINICAL IMMUNOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Kizhakkepurakkal B. Megha, Parayanthala V. Mohanan
Summary: Ketamine, a noncompetitive NMDA receptor antagonist, has various interactions with other receptors and is approved for use as a general anesthetic. However, there are concerns about its long-term use as an antidepressant and recreational drug. This study investigates the long-term side effects of ketamine on LN-229 cells and reveals dose-dependent cytotoxicity, morphological changes, and inhibition of cell migration. The study highlights the importance of considering the adverse effects of nonanesthetic use of ketamine.
JOURNAL OF BIOCHEMICAL AND MOLECULAR TOXICOLOGY
(2023)
Article
Oncology
Rehab G. Amer, Lobna R. Ezz El Arab, Dalia Abd El Ghany, Amr S. Saad, Nermean Bahie-Eldin, Menha Swellam
Summary: In this study, the clinical role of lncRNA565 and lncRNA641 in GBM patients was investigated. The results showed that the expressions of these two long non-coding RNAs were significantly increased in GBM patients and were correlated with clinico-pathological data and survival pattern. Additionally, higher levels of these lncRNAs were associated with worse disease progression and overall survival. Therefore, the expression of lncRNA565 and lncRNA641 can serve as prognostic biomarkers for GBM patients.
JOURNAL OF NEURO-ONCOLOGY
(2022)
Article
Oncology
Mengying Wang, Binghong Chen, Wenrui Zhang, Fengchen Zhang, Yongming Qiu, Yingying Lin, Shaofeng Yang
Summary: The overexpression of dematin actin-binding protein (DMTN) has been found to inhibit the proliferation and invasion of glioblastoma multiforme (GBM) by affecting cell cycle regulation and actin remodeling. In addition, DMTN expression was significantly reduced in high-grade gliomas and correlated with worse survival in patients.
EXPERIMENTAL CELL RESEARCH
(2022)
Article
Biochemistry & Molecular Biology
Julia Penas-Martinez, Gines Luengo-Gil, Salvador Espin, Nataliya Bohdan, Carmen Ortega-Sabater, Maria Carmen Rodenas, David Zaragoza-Huesca, Maria Jose Lopez-Andreo, Carme Plasencia, Vicente Vicente, Alberto Carmona-Bayonas, Irene Martinez-Martinez
Summary: Our study reveals the versatile anti-tumor properties of prelatent antithrombin on U-87 MG glioblastoma multiforme cells, inhibiting migration and invasion while having a lesser effect on proliferation. Prelatent antithrombin down-regulated the expression of VEGFA, pSTAT3, and pERK1/2 in U-87 MG cells.
Review
Pharmacology & Pharmacy
Kanawat Wiwatchaitawee, Juliana C. Quarterman, Sean M. Geary, Aliasger K. Salem
Summary: Glioblastoma multiforme (GBM) is an aggressive brain tumor, with current treatments including surgery, radiation, and chemotherapy, while nanoparticle-mediated delivery systems show promise. Drug delivery via nanoparticles can reduce toxicity, increase specificity, and improve survival and quality of life for GBM patients.
Review
Oncology
Fidan Seker-Polat, Nareg Pinarbasi Degirmenci, Ihsan Solaroglu, Tugba Bagci-Onder
Summary: Glioblastoma is an extremely aggressive and invasive primary brain tumor with poor prognosis. Understanding the molecular mechanisms of glioblastoma invasion and developing new therapeutic approaches are of utmost importance. Efforts have been made to uncover the routes followed by glioblastoma cells, their interaction with the brain environment and extracellular matrix, and the role of cell adhesion and extracellular matrix remodeling. However, there is currently no approved therapy targeting the invasive phenotype.
Article
Oncology
Ruei-Yu Su, Shu-Ching Hsueh, Cheng-Yen Chen, Ming-Jie Hsu, Hsu-Feng Lu, Shu-Fen Peng, Po-Yuan Chen, Jin-Cherng Lien, Yung-Liang Chen, Fu-Shin Chueh, Jing-Gung Chung, Ming-Yang Yeh, Yi-Ping Huang
Summary: DMC has shown significant inhibitory effect on the proliferation of human glioblastoma cancer cells, with the internalized amount reaching the highest level after 3 hours of treatment.
ANTICANCER RESEARCH
(2021)
Article
Oncology
Xiaosan Zhu, Shanshan Liu, Xueou Yang, Wenjun Wang, Wei Shao, Tianhai Ji
Summary: This study demonstrates that hypoxia enhances the migration and invasion of GBM through the L-Arg/P4HA1 axis, which could serve as an effective molecular marker or predictor of clinical outcomes in GBM patients.
AMERICAN JOURNAL OF CANCER RESEARCH
(2021)
Article
Multidisciplinary Sciences
Jian Shi
Summary: By studying the GBM BVZ subtypes, we discovered the differential expression of related miRNAs and mRNAs, clinical characteristics, and functional pathways. Based on the expression of miR-21 and miR-10b, approximately 30% of GBM patients were classified as having the GBM BVZ-responsive subtype, which was associated with significantly shorter survival time. SVM classifiers and miRNA panels were used to classify and detect GBM BVZ subtypes.
SCIENTIFIC REPORTS
(2022)
Article
Oncology
Sean McCutcheon, David C. Spray
Summary: The invasive nature of glioblastoma multiforme (GBM) is a major factor contributing to its poor survival rates. Research suggests that connexin 43 (Cx43) has opposing roles in GBM migration. Through a Cx43-dependent mechanism, miRNAs associated with cell-matrix adhesion are transferred from GBM cells to astrocytes, promoting invasion.
MOLECULAR CANCER RESEARCH
(2022)
Article
Ophthalmology
Richard W. Helms, Ahmed Tahseen Minhaz, David L. Wilson, Faruk H. Orge
Summary: 3D-UBM imaging of the anterior segment enables unique visualization and quantification of anterior segment structures, potentially providing physicians with improved diagnosis, treatment planning, and treatment assessment compared to conventional 2D-UBM.
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY
(2021)
Article
Biology
Peshala T. Gamage, Pengfei Dong, Juhwan Lee, Yazan Gharaibeh, Vladislav N. Zimin, Luis A. P. Dallan, Hiram G. Bezerra, David L. Wilson, Linxia Gu
Summary: In this study, hemodynamic alterations in heavily calcified coronary arteries following stent deployment and post-dilations were quantified using in silico and ex-vivo approaches. Results showed that post-dilations are necessary for lumen gain and hemodynamic restoration towards hemostasis, mitigating risks associated with in-stent restenosis and stent thrombosis. Additionally, computational fluid dynamics simulations indicated that areas near malapposed stent struts are more prone to in-stent restenosis.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Peter L. Qiao, Mahdusudhana Gargesha, Yiqiao Liu, Victoria E. A. Laney, Ryan C. Hall, Amita M. Vaidya, Hannah Gilmore, Kara Gawelek, Bryan B. Scott, Debashish Roy, David L. Wilson, Zheng-Rong Lu
Summary: The study found that EDB-FN is overexpressed in metastatic and primary PDAC tumors, and MRMI with MT218 enables the detection of metastatic and perimetastatic tissues.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Multidisciplinary Sciences
Ammar Hoori, Tao Hu, Juhwan Lee, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson
Summary: We developed a deep learning method for automatic assessment of epicardial adipose tissue volume on non-contrast low-dose CT calcium score images. Our method showed excellent results compared to manual segmentation. It is time-saving, reduces human error, and improves the accuracy of assessment.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Peshala T. Gamage, Pengfei Dong, Juhwan Lee, Yazan Gharaibeh, Vladislav N. Zimin, Hiram G. Bezerra, David L. Wilson, Linxia Gu
Summary: This study investigates the effect of side branches on fractional flow reserve (FFR) estimation. The results show that side branches decrease the total resistance of the vessel tree, leading to a higher inlet flowrate. Side branches located downstream of stenosis result in lower FFR values.
APPLIED SCIENCES-BASEL
(2022)
Article
Cardiac & Cardiovascular Systems
Luis A. P. Dallan, Vladislav N. Zimin, Juhwan Lee, Yazan Gharaibeh, Justin N. Kim, Gabriel T. R. Pereira, Armando Vergara-Martel, Pengfei Dong, Linxia Gu, David L. Wilson, Hiram G. Bezerra
Summary: This study evaluated stent expansion in an ex vivo model of calcified coronary arteries as a function of balloon size and high-pressure, post-dilatation strategies. The results showed that good stent expansion was achieved using smaller balloons at higher pressures without coronary injuries, while bigger balloons yielded unpredictable expansion even at lower pressures and demonstrated potential harmful damages to the vessels.
CARDIOVASCULAR REVASCULARIZATION MEDICINE
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Yazan Gharaibeh, Juhwan Lee, Chaitanya Kolluru, Vladislav N. Zimin, Luis A. P. Dallan, Hiram G. Bezerra, David L. Wilson
Summary: The study utilized a generative adversarial network to fill in missing image data in IVOCT images following stent implantation, improving visualization and analysis accuracy. The results showed a high level of accuracy and success in visualizing plaques with the newly developed method.
MEDICAL IMAGING 2021: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING
(2021)
Proceedings Paper
Engineering, Biomedical
Ammar Hoori, Tao Hu, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson
Summary: An automatic deep learning semantic segmentation technique using DeepLab-v3-plus was developed for accurate segmentation of Epicardial adipose tissue from non-contrast cardiac CT scans. The algorithm showed excellent results compared to manual segmentation, with high Dice score and correlation, and low error in EAT volume estimation.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer Hobbs
Summary: Advancements in remote sensing technology have increased the amount of available data, but processing this data requires consideration of computation time and costs. Our method uses superpixel segmentation and Graph Convolutional Neural Network to identify nutrient deficient areas and improve agricultural efficiency with significantly fewer parameters compared to traditional methods.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021
(2021)
Proceedings Paper
Engineering, Biomedical
Naomi M. Joseph, Beth Ann Benetz, Harry Menegay, Silke Oellerich, Lamis Baydoun, Gerrit Melles, Jonathan H. Lass, David Wilson
Summary: The study evaluates the status of donor tissue post-keratoplasty through clinical evaluations, uses image analysis to predict future rejection, and aims to enable early intervention and treatment for graft rejection.
MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS
(2021)
Article
Cell & Tissue Engineering
Leland Metheny, Saada Eid, Patiwet Wuttisarnwattana, Jeffery J. Auletta, Chen Liu, Alana Van Dervort, Conner Paez, ZhengHong Lee, David Wilson, Hillard M. Lazarus, Robert Deans, Wouter Vant Hof, Yiouli Ktena, Kenneth R. Cooke
Summary: The administration of human, bone marrow-derived, multipotent adult progenitor cells (MAPCs) was found to significantly reduce T-cell expansion and the numbers of pro-inflammatory cells in murine GvHD models, leading to improvements in survival and clinical scores. MAPCs were shown to inhibit T-cell proliferation, with reduced activation and inflammatory cytokine secretion, while promoting the release of anti-inflammatory factors.
Proceedings Paper
Engineering, Biomedical
Juhwan Lee, Chaitanya Kolluru, Yazan Gharaibeh, David Prabhu, Vladislav N. Zimin, Hiram G. Bezerra, David L. Wilson
Summary: A fully automated method utilizing deep learning and textural features was developed for classifying A-line coronary plaques in intravascular optical coherence tomography images. Through feature selection and classification noise cleaning, the method demonstrated good accuracy and performance.
MEDICAL IMAGING 2020: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING
(2021)
Proceedings Paper
Engineering, Biomedical
Yingnan Song, Brendan L. Eck, Jacob Levi, David L. Wilson
Summary: The study investigated methods to improve coronary calcification measurements using Richardson-Lucy deconvolution and partial volume correction processing. The results showed improved accuracy in clinical evaluation compared to non-processed clinical evaluation. Precision across rotation angle also improved in all cases.
MEDICAL IMAGING 2020: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING
(2021)
Article
Computer Science, Information Systems
Chaitanya Kolluru, Juhwan Lee, Yazan Gharaibeh, Hiram G. Bezerra, David L. Wilson
Summary: Deep learning methods are commonly used in medical imaging to segment structures of interest, but acquiring annotations for a large number of images is time consuming. This study explores reducing annotation effort by subsampling or clustering images, with clustering showing better performance for analyzing coronary calcifications. The clustering based approach is recommended for annotating a small fraction of images and creating a baseline model for further improvement.
Article
Cardiac & Cardiovascular Systems
Yingnan Song, Hao Wu, Di Wen, Bo Zhu, Philipp Graner, Leslie Ciancibello, Haran Rajeswaran, Karma Salem, Mehrdad Hajmomenian, Robert C. Gilkeson, David L. Wilson
Summary: The study aimed to evaluate physicians' ability to detect coronary calcifications in dual energy chest X-rays processed using an advanced algorithm. The advanced processing techniques improved visibility of coronary calcifications, leading to higher detection rates by physicians. Detection of coronary calcifications in chest X-rays showed promising results in comparison to other screening methods, with the potential to detect a large number of patients with coronary artery disease at low cost.
INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
(2021)