Artificial intelligence: illuminating the depths of the tumor microenvironment

T Xie, A Huang, H Yan, X Ju, L Xiang… - Journal of Translational …, 2024 - Springer
Artificial intelligence (AI) can acquire characteristics that are not yet known to humans
through extensive learning, enabling to handle large amounts of pathology image data …

[HTML][HTML] Nod-like receptors: The relevant elements of glioblastomas prognostic puzzle

M Grabiec, M Sobstyl, T Skirecki - Pharmacological Research, 2024 - Elsevier
Despite considerable improvements in understanding the biology of glioblastoma (GB), it
still remains the most lethal type of brain tumor in adults. The role of innate immune cells in …

Glioma-associated microglia characterization in the glioblastoma microenvironment through a 'Seed-and soil'approach: A systematic review

G Menna, PP Mattogno, CM Donzelli, L Lisi, A Olivi… - Brain Sciences, 2022 - mdpi.com
Background and aim: Ever since the discovery of tumor-associated immune cells, there has
been growing interest in the understanding of the mechanisms underlying the crosstalk …

IDH mutation, glioma immunogenicity, and therapeutic challenge of primary mismatch repair deficient IDH‐mutant astrocytoma PMMRDIA: a systematic review

O Ahmad, T Ahmad, SM Pfister - Molecular Oncology, 2024 - Wiley Online Library
In 2021, Suwala et al. described Primary Mismatch Repair Deficient IDH‐mutant
Astrocytoma (PMMRDIA) as a distinct group of gliomas. In unsupervised clustering …

Applications of machine learning in tumor-associated macrophages

Z Li, Q Yu, Q Zhu, X Yang, Z Li, J Fu - Frontiers in immunology, 2022 - frontiersin.org
Evaluation of tumor-host interaction and intratumoral heterogeneity in the tumor
microenvironment (TME) is gaining increasing attention in modern cancer therapies …

Identifying brain tumor patients' subtypes based on pre-diagnostic history and clinical characteristics: a pilot hierarchical clustering and association analysis

S Esposito, E Ruggiero, A Di Castelnuovo… - Frontiers in …, 2023 - frontiersin.org
Introduction Central nervous system (CNS) tumors are severe health conditions with
increasing incidence in the last years. Different biological, environmental and clinical factors …

[HTML][HTML] Deep-learning methods for unveiling large-scale single-cell transcriptomes

X Shen, X Li - Cancer Biology & Medicine, 2023 - ncbi.nlm.nih.gov
The rapidly evolving realm of single-cell transcriptomics offers vital new perspectives into the
understanding of intra-and inter-cellular molecular dynamics governing development …

Glioma Image-Level and Slide-Level Gene Predictor (GLISP) for Molecular Diagnosis and Predicting Genetic Events of Adult Diffuse Glioma

MK Le, M Kawai, K Masui, T Komori, T Kawamata… - Bioengineering, 2024 - mdpi.com
The latest World Health Organization (WHO) classification of central nervous system tumors
(WHO2021/5th) has incorporated molecular information into the diagnosis of each brain …