Longitudinal brain volumetrics in glioma survivors
CONCLUSIONS: This study demonstrated volume loss in contralateral brain structures among LGG survivors, and patients who received RT experienced greater volume loss than those who did not. The results of this study may help to provide context for cognitive outcome research in LGG survivors and inform the design of future strategies to preserve cognition.PMID:38669700 | DOI:10.3171/2024.1.JNS231980 (Source: Journal of Neurosurgery)
Source: Journal of Neurosurgery - April 26, 2024 Category: Neurosurgery Authors: Andrew M McDonald Donna L Murdaugh Katherine A Heinzman Rex A Cardan Jessica Jacob John B Fiveash L Burt Nabors Courtney A Cooper John M Hoyle Desmin Milner Carlos E Cardenas Source Type: research
Evaluation of the extent of resection of intracranial tumors with virtual intraoperative MRI: a case series
CONCLUSIONS: The commercially available virtual iMRI can predict the presence or absence of tumor residual with high sensitivity. The diagnostic accuracy of this method was higher in LGGs and much lower for meningiomas or metastases; these findings must be evaluated in prospective studies in a larger population.PMID:38669708 | DOI:10.3171/2024.1.JNS232342 (Source: Journal of Neurosurgery)
Source: Journal of Neurosurgery - April 26, 2024 Category: Neurosurgery Authors: Edoardo Mazzucchi Lara Belis Cavlak Fabrizio Pignotti Giuseppe La Rocca Davide Cusumano Pierluigi Rinaldi Alessandro Olivi Giovanni Sabatino Source Type: research
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Med Image Comput Comput Assist Interv. 2023 Oct;14221:46-56. doi: 10.1007/978-3-031-43895-0_5. Epub 2023 Oct 1.ABSTRACTDeep learning (DL) models for segmenting various anatomical structures have achieved great success via a static DL model that is trained in a single source domain. Yet, the static DL model is likely to perform poorly in a continually evolving environment, requiring appropriate model updates. In an incremental learning setting, we would expect that well-trained static models are updated, following continually evolving target domain data-e.g., additional lesions or structures of interest-collected from diffe...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 26, 2024 Category: Radiology Authors: Xiaofeng Liu Helen A Shih Fangxu Xing Emiliano Santarnecchi Georges El Fakhri Jonghye Woo Source Type: research
Thioredoxin Domain Containing 5 (TXNDC5): Friend or Foe?
Curr Issues Mol Biol. 2024 Apr 4;46(4):3134-3163. doi: 10.3390/cimb46040197.ABSTRACTThis review focuses on the thioredoxin domain containing 5 (TXNDC5), also known as endoplasmic reticulum protein 46 (ERp46), a member of the protein disulfide isomerase (PDI) family with a dual role in multiple diseases. TXNDC5 is highly expressed in endothelial cells, fibroblasts, pancreatic β-cells, liver cells, and hypoxic tissues, such as cancer endothelial cells and atherosclerotic plaques. TXNDC5 plays a crucial role in regulating cell proliferation, apoptosis, migration, and antioxidative stress. Its potential significance in cancer...
Source: Current Issues in Molecular Biology - April 26, 2024 Category: Molecular Biology Authors: Seyed Hesamoddin Bidooki Mar ía A Navarro Susana C M Fernandes Jesus Osada Source Type: research
Longitudinal brain volumetrics in glioma survivors
CONCLUSIONS: This study demonstrated volume loss in contralateral brain structures among LGG survivors, and patients who received RT experienced greater volume loss than those who did not. The results of this study may help to provide context for cognitive outcome research in LGG survivors and inform the design of future strategies to preserve cognition.PMID:38669700 | DOI:10.3171/2024.1.JNS231980 (Source: Journal of Neurosurgery)
Source: Journal of Neurosurgery - April 26, 2024 Category: Neurosurgery Authors: Andrew M McDonald Donna L Murdaugh Katherine A Heinzman Rex A Cardan Jessica Jacob John B Fiveash L Burt Nabors Courtney A Cooper John M Hoyle Desmin Milner Carlos E Cardenas Source Type: research
Evaluation of the extent of resection of intracranial tumors with virtual intraoperative MRI: a case series
CONCLUSIONS: The commercially available virtual iMRI can predict the presence or absence of tumor residual with high sensitivity. The diagnostic accuracy of this method was higher in LGGs and much lower for meningiomas or metastases; these findings must be evaluated in prospective studies in a larger population.PMID:38669708 | DOI:10.3171/2024.1.JNS232342 (Source: Journal of Neurosurgery)
Source: Journal of Neurosurgery - April 26, 2024 Category: Neurosurgery Authors: Edoardo Mazzucchi Lara Belis Cavlak Fabrizio Pignotti Giuseppe La Rocca Davide Cusumano Pierluigi Rinaldi Alessandro Olivi Giovanni Sabatino Source Type: research
Promoter hypomethylated PDZK1 acts as a tumorigenic gene in glioma by interacting with AKT1
Aging (Albany NY). 2024 Apr 25;16. doi: 10.18632/aging.205750. Online ahead of print.ABSTRACTGlioma is the most frequently diagnosed primary brain tumor and typically has a poor prognosis because of malignant proliferation and invasion. It is urgent to elucidate the mechanisms driving glioma tumorigenesis and develop novel treatments to address this deadly disease. Here, we first revealed that PDZK1 is expressed at high levels in gliomas. Promoter hypomethylation may cause high expression of PDZK1 in glioma. Knockdown of PDZK1 inhibits glioma cell proliferation and invasion in vitro. Mechanistically, further investigations...
Source: Aging - April 26, 2024 Category: Biomedical Science Authors: Xing Ren Dan Deng Shasha Xiang Jianbo Feng Source Type: research
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Med Image Comput Comput Assist Interv. 2023 Oct;14221:46-56. doi: 10.1007/978-3-031-43895-0_5. Epub 2023 Oct 1.ABSTRACTDeep learning (DL) models for segmenting various anatomical structures have achieved great success via a static DL model that is trained in a single source domain. Yet, the static DL model is likely to perform poorly in a continually evolving environment, requiring appropriate model updates. In an incremental learning setting, we would expect that well-trained static models are updated, following continually evolving target domain data-e.g., additional lesions or structures of interest-collected from diffe...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 26, 2024 Category: Radiology Authors: Xiaofeng Liu Helen A Shih Fangxu Xing Emiliano Santarnecchi Georges El Fakhri Jonghye Woo Source Type: research
Thioredoxin Domain Containing 5 (TXNDC5): Friend or Foe?
Curr Issues Mol Biol. 2024 Apr 4;46(4):3134-3163. doi: 10.3390/cimb46040197.ABSTRACTThis review focuses on the thioredoxin domain containing 5 (TXNDC5), also known as endoplasmic reticulum protein 46 (ERp46), a member of the protein disulfide isomerase (PDI) family with a dual role in multiple diseases. TXNDC5 is highly expressed in endothelial cells, fibroblasts, pancreatic β-cells, liver cells, and hypoxic tissues, such as cancer endothelial cells and atherosclerotic plaques. TXNDC5 plays a crucial role in regulating cell proliferation, apoptosis, migration, and antioxidative stress. Its potential significance in cancer...
Source: Current Issues in Molecular Biology - April 26, 2024 Category: Molecular Biology Authors: Seyed Hesamoddin Bidooki Mar ía A Navarro Susana C M Fernandes Jesus Osada Source Type: research
Profiling the molecular and clinical landscape of glioblastoma utilizing the Oncology Research Information Exchange Network brain cancer database
CONCLUSIONS: Herein, we report the first clinical, genomic, and transcriptomic analysis of ORIEN glioblastoma cases, incorporating sample reclassification under updated 2021 diagnostic criteria. These findings create multiple avenues for further investigation and reinforce the value of multi-institutional consortia such as ORIEN in deepening our knowledge of intractable diseases such as glioblastoma.PMID:38665799 | PMC:PMC11044707 | DOI:10.1093/noajnl/vdae046 (Source: Adv Data)
Source: Adv Data - April 26, 2024 Category: Epidemiology Authors: Alexandra N Demetriou Frances Chow David W Craig Michelle G Webb D Ryan Ormond James Battiste Arnab Chakravarti Howard Colman John L Villano Bryan P Schneider James K C Liu Michelle L Churchman Gabriel Zada Source Type: research
Diet-induced metabolic and immune impairments are sex-specifically modulated by soluble TNF signaling in the 5xFAD mouse model of Alzheimer's disease
Neurobiol Dis. 2024 Apr 24:106511. doi: 10.1016/j.nbd.2024.106511. Online ahead of print.ABSTRACTEmerging evidence indicates that high-fat, high carbohydrate diet (HFHC) impacts central pathological features of Alzheimer's disease (AD) across both human incidences and animal models. However, the mechanisms underlying this association are poorly understood. Here, we identify compartment-specific metabolic and inflammatory dysregulations that are induced by HFHC diet in the 5xFAD mouse model of AD pathology. We observe that both male and female 5xFAD mice display exacerbated adiposity, cholesterolemia, and dysregulated insul...
Source: Neurobiology of Disease - April 26, 2024 Category: Neurology Authors: Maria Elizabeth De Sousa Rodrigues MacKenzie L Bolen Lisa Blackmer-Raynolds Noah Schwartz Jianjun Chang Mal ú Gámez Tansey Timothy Robert Sampson Source Type: research
Evaluation of the extent of resection of intracranial tumors with virtual intraoperative MRI: a case series
CONCLUSIONS: The commercially available virtual iMRI can predict the presence or absence of tumor residual with high sensitivity. The diagnostic accuracy of this method was higher in LGGs and much lower for meningiomas or metastases; these findings must be evaluated in prospective studies in a larger population.PMID:38669708 | DOI:10.3171/2024.1.JNS232342 (Source: Journal of Neurosurgery)
Source: Journal of Neurosurgery - April 26, 2024 Category: Neurosurgery Authors: Edoardo Mazzucchi Lara Belis Cavlak Fabrizio Pignotti Giuseppe La Rocca Davide Cusumano Pierluigi Rinaldi Alessandro Olivi Giovanni Sabatino Source Type: research
Longitudinal brain volumetrics in glioma survivors
CONCLUSIONS: This study demonstrated volume loss in contralateral brain structures among LGG survivors, and patients who received RT experienced greater volume loss than those who did not. The results of this study may help to provide context for cognitive outcome research in LGG survivors and inform the design of future strategies to preserve cognition.PMID:38669700 | DOI:10.3171/2024.1.JNS231980 (Source: Journal of Neurosurgery)
Source: Journal of Neurosurgery - April 26, 2024 Category: Neurosurgery Authors: Andrew M McDonald Donna L Murdaugh Katherine A Heinzman Rex A Cardan Jessica Jacob John B Fiveash L Burt Nabors Courtney A Cooper John M Hoyle Desmin Milner Carlos E Cardenas Source Type: research
Promoter hypomethylated PDZK1 acts as a tumorigenic gene in glioma by interacting with AKT1
Aging (Albany NY). 2024 Apr 25;16. doi: 10.18632/aging.205750. Online ahead of print.ABSTRACTGlioma is the most frequently diagnosed primary brain tumor and typically has a poor prognosis because of malignant proliferation and invasion. It is urgent to elucidate the mechanisms driving glioma tumorigenesis and develop novel treatments to address this deadly disease. Here, we first revealed that PDZK1 is expressed at high levels in gliomas. Promoter hypomethylation may cause high expression of PDZK1 in glioma. Knockdown of PDZK1 inhibits glioma cell proliferation and invasion in vitro. Mechanistically, further investigations...
Source: Aging - April 26, 2024 Category: Biomedical Science Authors: Xing Ren Dan Deng Shasha Xiang Jianbo Feng Source Type: research
Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
Med Image Comput Comput Assist Interv. 2023 Oct;14221:46-56. doi: 10.1007/978-3-031-43895-0_5. Epub 2023 Oct 1.ABSTRACTDeep learning (DL) models for segmenting various anatomical structures have achieved great success via a static DL model that is trained in a single source domain. Yet, the static DL model is likely to perform poorly in a continually evolving environment, requiring appropriate model updates. In an incremental learning setting, we would expect that well-trained static models are updated, following continually evolving target domain data-e.g., additional lesions or structures of interest-collected from diffe...
Source: MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention - April 26, 2024 Category: Radiology Authors: Xiaofeng Liu Helen A Shih Fangxu Xing Emiliano Santarnecchi Georges El Fakhri Jonghye Woo Source Type: research
