Quantitative study of bioinformatics analysis on glioma: a bibliometric analysis DOI Creative Commons
Xiaobing Yang,

Dulegeqi Man,

Peng Zhao

et al.

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: Nov. 15, 2023

The bioinformatics analysis on glioma has been a hot point recently. purpose of this study was to provide an overview the research in field using bibliometric method. Web Science Core Collection (WOSCC) database used search for literature related gliomas. Countries, institutions, authors, references, and keywords were analyzed VOSviewer, CiteSpace, Microsoft Excel software. China most productive country, while USA cited. Capital Medical University had largest number publications citations. Institutions tend collaborate more with other institutions their countries rather than foreign ones. cited author Jiang Tao. Two citation paths identified, basic journals often clinical journals. Immune-related vocabularies appeared frequently recent studies. Glioma analyses spanned wide range fields. international communication urgently needs be strengthened. approaches are developing from applications. Recently, immune-related become focus.

Language: Английский

Can Artificial Intelligence Accelerate Fluid Mechanics Research? DOI Creative Commons
Dimitris Drikakis, Filippos Sofos

Fluids, Journal Year: 2023, Volume and Issue: 8(7), P. 212 - 212

Published: July 19, 2023

The significant growth of artificial intelligence (AI) methods in machine learning (ML) and deep (DL) has opened opportunities for fluid dynamics its applications science, engineering medicine. Developing AI encompass different challenges than with massive data, such as the Internet Things. For many scientific, biomedical problems, data are not massive, which poses limitations algorithmic challenges. This paper reviews ML DL research dynamics, presents discusses potential future directions.

Language: Английский

Citations

32

Differentiating IDH-mutant astrocytomas and 1p19q-codeleted oligodendrogliomas using DSC-PWI: high performance through cerebral blood volume and percentage of signal recovery percentiles DOI Creative Commons
Albert Pons‐Escoda, Alonso García-Ruiz, Pablo Naval‐Baudin

et al.

European Radiology, Journal Year: 2024, Volume and Issue: 34(8), P. 5320 - 5330

Published: Jan. 29, 2024

Abstract Objective Presurgical differentiation between astrocytomas and oligodendrogliomas remains an unresolved challenge in neuro-oncology. This research aims to provide a comprehensive understanding of each tumor’s DSC-PWI signatures, evaluate the discriminative capacity cerebral blood volume (CBV) percentage signal recovery (PSR) percentile values, explore synergy CBV PSR combination for pre-surgical differentiation. Methods Patients diagnosed with grade 2 3 IDH-mutant 1p19q-codeleted were retrospectively retrieved (2010–2022). 3D segmentations tumor conducted, voxel-level extracted compute mean, minimum, maximum, values. Statistical comparisons performed using Mann-Whitney U test area under receiver operating characteristic curve (AUC-ROC). Lastly, five most variables combined classification internal cross-validation. Results The study enrolled 52 patients (mean age 45-year-old, 28 men): 24 oligodendrogliomas. Oligodendrogliomas exhibited higher lower than across all metrics (e.g., mean = 2.05 1.55, 0.68 0.81 respectively). highest AUC-ROCs smallest p values originated from percentiles PSRp70 AUC-ROC 0.84 value 0.0005, CBVp75 0.8 0.0006). maximum yielded results. Combining best (PSRp65, CBVp70, PSRp60, CBVp75, PSRp40) achieved 0.87 Conclusions exhibit astrocytomas, traits that are emphasized when considering rather or extreme results promising outcomes. Clinical relevance statement histogram-derived enhances presurgical oligodendrogliomas, suggesting incorporating these into clinical practice could be beneficial. Key Points • unsupervised selection astrocytomas. Cerebral broader perspective on vasculature yield this preoperative classification.

Language: Английский

Citations

6

From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients DOI Creative Commons
Yusheng Guo,

Tianxiang Li,

Bingxin Gong

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 12(2)

Published: Nov. 13, 2024

Abstract With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a promising frontier. Radiogenomics is originally defined methodology associating gene expression information from high‐throughput technologies with imaging phenotypes. However, advancements medical imaging, omics technologies, and artificial intelligence, both concept application of have significantly broadened. In this review, history enumerated, related five basic workflows their applications across tumors, role AI radiogenomics, opportunities challenges tumor heterogeneity, immune microenvironment. The positron emission tomography multi‐omics studies also discussed. Finally, faced by clinical transformation, along future trends field

Language: Английский

Citations

4

Liquid biopsy for detection of H3K27m and BRAF V600E mutations in patients with diffuse brainstem tumors DOI
Andrey Gavrjushin, L. I. Papusha, A A Veselkov

et al.

Burdenko s Journal of Neurosurgery, Journal Year: 2025, Volume and Issue: 89(1), P. 11 - 11

Published: Feb. 5, 2025

Despite the progress in understanding pathogenesis of diffuse brainstem tumors, treatment these neoplasms is usually empirical and conducted without morphological molecular verification. Liquid biopsy a minimally invasive technique providing data on tumor biology standard biopsy. This method based analysis cell-free nucleic acids (predominantly, extracellular DNA) biological fluids with detection specific mutations. wide implementation diagnosis disease monitoring extracranial malignancies, it infrequently applied neuro-oncology. Objective. To estimate diagnostic value liquid detecting H3K27 BRAF V600E mutations patients tumors. Material methods. Lumbar puncture cerebrospinal fluid sampling was performed 16 (5 children 11 adults) tumors verified by neuroimaging data. Cell-free DNA (cfDNA) used digital droplet PCR for determination H3F3A K28M oncogenic missense variants. In 14 patients, investigation cfDNA parallel correspondent derived from tissue. Results. None patient had mutation. variant detected 5 CSF samples 6 specimens who underwent surgical Thus, overall sensitivity 92.9% (13/14). Conclusion. highly informative identifying mutation often verifies glioma

Language: Английский

Citations

0

Liquid Biopsy-Derived Tumor Biomarkers for Clinical Applications in Glioblastoma DOI Creative Commons

Bruna Pereira de Lima,

Letícia S. Ferraz, Sylvie Devalle

et al.

Biomolecules, Journal Year: 2025, Volume and Issue: 15(5), P. 658 - 658

Published: May 2, 2025

Glioblastoma (GBM) is the most aggressive primary brain tumor in adults, characterized by rapid growth and resistance to chemotherapy. Conventional treatments remain largely ineffective, with patient survival averaging around 18 months after diagnosis. Current diagnostic methods rely on invasive tissue biopsies imaging tests. While traditional involve extracting samples, their routine use often limited surgical risks challenge of accessing sensitive regions. Liquid biopsy has emerged as a promising noninvasive alternative, analyzing circulating components—such DNA, RNA, extracellular vesicles, microRNAs—found body fluids. This approach enables initial diagnosis continuous disease monitoring, offering significant advantage over biopsies, which are impractical for frequent repetition during treatment follow-up. review highlights recent advances liquid biopsy-derived biomarkers clinical management GBM. The discussion includes advantages, limitations, potential these tools early monitoring. A narrative literature published last decade (2014–2024) was conducted using major health-focused scientific databases. analysis focuses evaluating relevance applicability GBM, insights into its minimally effective tool improving glioblastoma management.

Language: Английский

Citations

0

Extracellular vesicles as source for the identification of minimally invasive molecular signatures in glioblastoma DOI
Elisabeth Rackles,

Patricia Hernández Lopez,

Juan Manuel Falcón‐Pérez

et al.

Seminars in Cancer Biology, Journal Year: 2022, Volume and Issue: 87, P. 148 - 159

Published: Nov. 11, 2022

Language: Английский

Citations

15

Is There a Role for Machine Learning in Liquid Biopsy for Brain Tumors? A Systematic Review DOI Open Access
Grazia Menna, Giacomo Piaser Guerrato, Lal Bilgin

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(11), P. 9723 - 9723

Published: June 3, 2023

The paucity of studies available in the literature on brain tumors demonstrates that liquid biopsy (LB) is not currently applied for central nervous system (CNS) cancers. purpose this systematic review focused application machine learning (ML) to LB provide practical guidance neurosurgeons understand state-of-the-art practices and open challenges. herein presented study was conducted accordance with PRISMA-P (preferred reporting items meta-analysis protocols) guidelines. An online search launched PubMed/Medline, Scopus, Web Science databases using following query: “((Liquid biopsy) AND (Glioblastoma OR Brain tumor) (Machine Artificial Intelligence))”. last database April 2023. Upon full-text review, 14 articles were included study. These then divided into two subgroups: those dealing applications field tumors, which main aim (n = 8); diagnosis other 6). Although ML are still their infancy, rapid development new techniques, as evidenced by increase publications subject past years, may future allow rapid, accurate, noninvasive analysis tumor data. Thus making it possible identify key features samples associated presence a tumor. could be used doctors disease monitoring treatment planning.

Language: Английский

Citations

9

Liquid biopsy for the detection of H3K27m in patients with brainstem tumors DOI
Andrey Gavrjushin, L. I. Papusha, A A Veselkov

et al.

Neurosurgical Review, Journal Year: 2025, Volume and Issue: 48(1)

Published: May 26, 2025

Language: Английский

Citations

0

Fluorescence and Intraoperative Ultrasound as Surgical Adjuncts for Brain Metastases Resection: What Do We Know? A Systematic Review of the Literature DOI Open Access
Andrea Di Cristofori, Giovanni Carone,

Alessandra Rocca

et al.

Cancers, Journal Year: 2023, Volume and Issue: 15(7), P. 2047 - 2047

Published: March 29, 2023

(1) Background: brain metastases (BMs) are the most common neoplasm of central nervous system; despite high incidence this type tumour, to date there is no universal consensus on effective treatment in patients with BMs, even if surgery still plays a primary role. Despite this, adjunct systems that help reach GTR, which well structured for other tumour forms such as ultrasound and fluorescence systems, not yet employed standardised surgical practice. The aim review provide picture current state-of-art roles iOUS intraoperative better understand their potential tools. (2) Methods: goal, PubMed database was searched using following string keyword: (((Brain cerebral metastasis [MeSH Major Topic])OR (brain metastasis, Topic])) AND ((5-ala, Terms]) OR (Aminolevulinicacid [All fields]) (fluorescein, (contrast enhanced Terms])OR ((intraoperative ultrasound. Terms]))) (english [Filter]) ((english (2010:2022 [pdat])) [Filter]). (3) Results: from our research, total 661 articles emerged; these, 57 were selected. 21 these included BMs generically secondary class comparisons gliomas, without going deeply into specific details. Therefore, purposes, 36 considered. (4) Conclusions: regard adjuncts, much be explored. This mainly related heterogeneity patients, histology extent systemic disease; regardless, paramount role obtaining local disease control, more protocols need made, optimizing use available adjuncts order increase rate GTR.

Language: Английский

Citations

6

The potential of miRNA-based approaches in glioblastoma: An update in current advances and future perspectives DOI Creative Commons
Edgar G. Ordóñez-Rubiano,

Nicolás Rincón-Arias,

Sebastián Espinosa

et al.

Current Research in Pharmacology and Drug Discovery, Journal Year: 2024, Volume and Issue: 7, P. 100193 - 100193

Published: Jan. 1, 2024

Glioblastoma (GBM) is the most common malignant central nervous system tumor. The emerging field of epigenetics stands out as particularly promising. Notably, discovery micro RNAs (miRNAs) has paved way for advancements in diagnosing, treating, and prognosticating patients with brain tumors. We aim to provide an overview emergence miRNAs GBM their potential role multifaceted management this disease. discuss current state art regarding GBM. performed a narrative review using MEDLINE/PUBMED database retrieve peer-reviewed articles related use miRNA approaches treatment GBMs. MiRNAs are intrinsic non-coding RNA molecules that regulate gene expression mainly through post-transcriptional mechanisms. deregulation some these pathogenesis inclusion molecular characterization diagnosis tumors advent less-invasive diagnostic methods such liquid biopsies, highlights biomarkers guiding Importantly, there need more studies better examine application novel molecules. constantly changing approach broaden possibilities epigenetic molecules, miRNAs, understanding

Language: Английский

Citations

2