Induction of neuronal differentiation in glioma cells by histone deacetylase inhibitors based on Connectivity Map discovery DOI

Zhao-Qi Tang,

Hongbin Xu, Chang Cao

и другие.

Anti-Cancer Drugs, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 25, 2024

Neuron conversion leads to proliferation inhibition of glioma cells and may be an effective strategy combat prevent recurrence. In this study, drug repositioning based on Connectivity Map (CMap) was conducted discover drugs that could induce the differentiation into neuron-like cells, complemented by in vitro experimental validation. Downregulated neuronal genes were identified Human Protein Atlas database GeneCards database, enrichment analysis Gene Expression Profiling Interactive Analysis (GEPIA) performed ensure their reliability before they uploaded CMap for screening. The potential targets screened through GEPIA validated Chinese Glioma Genome database. Cell morphology, proliferation, marker expression detected evaluate differentiation-inducing effect selected drugs. bioinformatics histone deacetylase (HDAC) inhibitors as HDAC1/3/7 showed relationship with genes, HDAC1 highest level inverse correlation gene had hazard ratio. study both pan-HDAC inhibitor belinostat, class I IIa HDAC valproic acid, selective parthenolide morphology alteration, inhibition, markers including microtubule-associated protein 2, nuclei antigen, synaptophysin U87 cells. This suggests can differentiate being likely potentially playing important role this.

Язык: Английский

Diagnosing Progression in Glioblastoma—Tackling a Neuro-Oncology Problem Using Artificial-Intelligence-Derived Volumetric Change over Time on Magnetic Resonance Imaging to Examine Progression-Free Survival in Glioblastoma DOI Creative Commons
Mason J. Belue, Stephanie A. Harmon, Shreya Chappidi

и другие.

Diagnostics, Год журнала: 2024, Номер 14(13), С. 1374 - 1374

Опубликована: Июнь 28, 2024

Glioblastoma (GBM) is the most aggressive and common primary brain tumor, defined by nearly uniform rapid progression despite current standard of care involving maximal surgical resection followed radiation therapy (RT) temozolomide (TMZ) or concurrent chemoirradiation (CRT), with an overall survival (OS) less than 30% at 2 years. The diagnosis tumor in clinic based on clinical assessment interpretation MRI using Response Assessment Neuro-Oncology (RANO) criteria, which suffers from several limitations including a paucity precise measures progression. Given that imaging modality generates quantitative data capable capturing change over time for GBM, this renders it pivotal optimizing advancing response particularly given lack biomarkers space. In study, we employed artificial intelligence (AI)-derived volumetric parameters segmentation mask output nnU-Net to arrive four classes (background, edema, non-contrast enhancing (NET), contrast-enhancing (CET)) determine if dynamic changes AI volumes detected throughout can be linked PFS features. We identified associations between MR AI-generated independently location, MGMT methylation status, extent while validating CET edema are patient subpopulations separated district rates disease. study provides valuable insights risk stratification, future RT treatment planning, monitoring neuro-oncology.

Язык: Английский

Процитировано

4
Effects of valproic acid on rat C6 glioma cells proliferation and animals survival in the experiment DOI Creative Commons
Andrii B. Panteleichuk, S.I. Savosko, Anna Shmeleva

и другие.

Ukrainian Neurosurgical Journal, Год журнала: 2025, Номер 31(1), С. 16 - 22

Опубликована: Март 31, 2025

Лікування гліобластоми є актуальною проблемою нейроонкології, оскільки навіть сучасні медичні та технологічні розробки не дали змоги досягти значного прогресу в її вирішенні. Вальпроєва кислота протиепілептичним препаратом із доведеною ефективністю. Також вивчають потенційні онкостатичні ефекти при лікуванні пухлин головного мозку. Мета: вивчити вплив вальпроєвої кислоти на ріст гліоми C6 щурів in vivo. Матеріали і методи. Після експериментального моделювання проводили ін’єкції внутрішньоочеревинно. Виживаність аналізували за допомогою кривої Каплана‒Мейєра. Гістологічно досліджували пухлини. Висновки про проліферативну активність робили підставі визначення концентрації Ki67-позитивних клітин. Результати. статистично значуще підвищувала медіану (Ме) виживаності гліомами від 11 до 13 діб (р=0,05) значно знижувала клітин (3,53±0,96, Ме ‒3,08 2,17±0,38, ‒ 2,11, р=0,05). Висновки. Отримані результати свідчать те, що вальпроєва пригнічує vivo, тому можна розглядати як перспективний засіб у комплексній терапії гліом клінічній практиці, потребує подальших досліджень.

Процитировано

0
Precision Medicine in Immunoradiotherapy DOI
Jianfeng Feng,

Jiakuan Peng,

Hui Qiu

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Towards Effective Treatment of Glioblastoma: The Role of Combination Therapies and the Potential of Phytotherapy and Micotherapy DOI Creative Commons
Ludovica Gaiaschi, Maria Grazia Bottone, Fabrizio De Luca

и другие.

Current Issues in Molecular Biology, Год журнала: 2024, Номер 46(12), С. 14324 - 14350

Опубликована: Дек. 19, 2024

Glioblastoma multiforme (GBM) is one of the most aggressive and difficult-to-treat brain tumors, with a poor prognosis due to its high resistance conventional therapies. Current treatment options, including surgical resection, radiotherapy, chemotherapy, have limited effectiveness in improving long-term survival. Despite emergence new therapies, monotherapy approaches not shown significant improvements, highlighting need for innovative therapeutic strategies. Combination therapies appear be promising solution, as they target multiple molecular pathways involved GBM progression. One area growing interest incorporation phytotherapy micotherapy complementary treatments, which offer potential benefits their anti-tumor, anti-inflammatory, immunomodulatory properties. This review examines current challenges treatment, discusses combination highlights role integrative options management.

Язык: Английский

Процитировано

2
MGMT ProFWise: Unlocking a New Application for Combined Feature Selection and the Rank-Based Weighting Method to Link MGMT Methylation Status to Serum Protein Expression in Patients with Glioblastoma DOI Open Access
Erdal Taşçı, Yajas Shah,

Sarisha Jagasia

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 25(7), С. 4082 - 4082

Опубликована: Апрель 6, 2024

Glioblastoma (GBM) is a fatal brain tumor with limited treatment options. O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status the central molecular biomarker linked to both response temozolomide, standard chemotherapy drug employed for GBM, and patient survival. However, MGMT captured on tissue which, given difficulty in acquisition, limits use of this feature monitoring. protein expression levels may offer additional insights into mechanistic understanding but, currently, they correlate poorly methylation. The acquiring testing drives need non-invasive methods predict status. Feature selection aims identify most informative features build accurate interpretable prediction models. This study explores new application combined (i.e., LASSO mRMR) rank-based weighting method ProFWise) non-invasively link serum patients GBM. Our provides promising results, reducing dimensionality (by more than 95%) when two large-scale proteomic datasets (7k SomaScan® panel CPTAC) all our analyses. computational results indicate that proposed approach 14 shared biomarkers be helpful diagnostic, prognostic, and/or predictive operations GBM-related processes, further validation.

Язык: Английский

Процитировано

2
Differential Impact of Valproic Acid on SLC5A8, SLC12A2, SLC12A5, CDH1, and CDH2 Expression in Adult Glioblastoma Cells DOI Creative Commons

Milda Juknevičienė,

Ingrida Balnytė, Angelija Valančiūtė

и другие.

Biomedicines, Год журнала: 2024, Номер 12(7), С. 1416 - 1416

Опубликована: Июнь 25, 2024

Valproic acid (VPA) has anticancer, anti-inflammatory, and epigenetic effects. The study aimed to determine the expression of carcinogenesis-related

Язык: Английский

Процитировано

2
Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma DOI Open Access

Thomas Joyce,

Erdal Taşçı,

Sarisha Jagasia

и другие.

Cancers, Год журнала: 2024, Номер 16(15), С. 2740 - 2740

Опубликована: Авг. 1, 2024

Glioma is the most prevalent type of primary central nervous system cancer, while glioblastoma (GBM) its aggressive variant, with a median survival only 15 months when treated maximal surgical resection followed by chemoradiation therapy (CRT). CD133 potentially significant GBM biomarker. However, current clinical biomarker studies rely on invasive tissue samples. These make prolonged data acquisition impossible, resulting in increased interest use liquid biopsies. Our study, analyzed 7289 serum proteins from 109 patients pathology-proven obtained prior to CRT using aptamer-based SOMAScan® proteomic assay technology. We developed novel methodology that identified 24 linked both and 12-month overall (OS) through multi-step machine learning (ML) analysis. were subsequently subjected clustering evaluations, categorizing into five risk groups accurately predicted OS based their protein profiles. Most these are involved brain function, neural development, and/or cancer biology signaling, highlighting significance potential predictive value. Identifying provides valuable foundation for future investigations as validation clinically applicable biomarkers can unlock immense diagnostics treatment monitoring.

Язык: Английский

Процитировано

1
Induction of neuronal differentiation in glioma cells by histone deacetylase inhibitors based on Connectivity Map discovery DOI

Zhao-Qi Tang,

Hongbin Xu, Chang Cao

и другие.

Anti-Cancer Drugs, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 25, 2024

Neuron conversion leads to proliferation inhibition of glioma cells and may be an effective strategy combat prevent recurrence. In this study, drug repositioning based on Connectivity Map (CMap) was conducted discover drugs that could induce the differentiation into neuron-like cells, complemented by in vitro experimental validation. Downregulated neuronal genes were identified Human Protein Atlas database GeneCards database, enrichment analysis Gene Expression Profiling Interactive Analysis (GEPIA) performed ensure their reliability before they uploaded CMap for screening. The potential targets screened through GEPIA validated Chinese Glioma Genome database. Cell morphology, proliferation, marker expression detected evaluate differentiation-inducing effect selected drugs. bioinformatics histone deacetylase (HDAC) inhibitors as HDAC1/3/7 showed relationship with genes, HDAC1 highest level inverse correlation gene had hazard ratio. study both pan-HDAC inhibitor belinostat, class I IIa HDAC valproic acid, selective parthenolide morphology alteration, inhibition, markers including microtubule-associated protein 2, nuclei antigen, synaptophysin U87 cells. This suggests can differentiate being likely potentially playing important role this.

Язык: Английский

Процитировано

0