Dongling Pei
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View article: P4HB regulates tumor-associated macrophage polarization and chemotaxis by enhancing IL-6 cytokine secretion in glioblastoma
P4HB regulates tumor-associated macrophage polarization and chemotaxis by enhancing IL-6 cytokine secretion in glioblastoma Open
Background: Prolyl 4-hydroxylase subunit beta (P4HB) has been linked to glioma progression and treatment resistance; however, its role in the tumor microenvironment regulation remains unclear. Materials and Methods: A total of 90 human gli…
View article: Machine Learning Model on Multi-Omics Data Enables Risk Stratification and Identifies Molecular Heterogeneity and Therapeutic Targets in Glioblastoma
Machine Learning Model on Multi-Omics Data Enables Risk Stratification and Identifies Molecular Heterogeneity and Therapeutic Targets in Glioblastoma Open
Multimodal data integration reveals causal features often missed by single-modality analyses, offering a more comprehensive view of glioblastoma (GBM) complexity. We collected radiomic, pathomic, genomic, transcriptomic, and proteomic data…
View article: MRI-based machine learning reveals proteasome subunit PSMB8-mediated malignant glioma phenotypes through activating TGFBR1/2-SMAD2/3 axis
MRI-based machine learning reveals proteasome subunit PSMB8-mediated malignant glioma phenotypes through activating TGFBR1/2-SMAD2/3 axis Open
View article: Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities
Multimodal fusion of radio-pathology and proteogenomics identify integrated glioma subtypes with prognostic and therapeutic opportunities Open
Integrating multimodal data can uncover causal features hidden in single-modality analyses, offering a comprehensive understanding of disease complexity. This study introduces a multimodal fusion subtyping (MOFS) framework that integrates …
View article: IDH-mutant glioma risk stratification via whole slide images: Identifying pathological feature associations
IDH-mutant glioma risk stratification via whole slide images: Identifying pathological feature associations Open
This article aims to develop and validate a pathological prognostic model for predicting prognosis in patients with isocitrate dehydrogenase (IDH)-mutant gliomas and reveal the biological underpinning of the prognostic pathological feature…
View article: Nuclear autoantigenic sperm protein facilitates glioblastoma progression and radioresistance by regulating the <scp>ANXA2</scp>/<scp>STAT3</scp> axis
Nuclear autoantigenic sperm protein facilitates glioblastoma progression and radioresistance by regulating the <span>ANXA2</span>/<span>STAT3</span> axis Open
Aims Although radiotherapy is a core treatment modality for various human cancers, including glioblastoma multiforme (GBM), its clinical effects are often limited by radioresistance. The specific molecular mechanisms underlying radioresist…
View article: Radiomic profiling for insular diffuse glioma stratification with distinct biologic pathway activities
Radiomic profiling for insular diffuse glioma stratification with distinct biologic pathway activities Open
Current literature emphasizes surgical complexities and customized resection for managing insular gliomas; however, radiogenomic investigations into prognostic radiomic traits remain limited. We aimed to develop and validate a radiomic mod…
View article: Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma
Biological underpinnings of radiomic magnetic resonance imaging phenotypes for risk stratification in IDH wild-type glioblastoma Open
View article: Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images
Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images Open
Current diagnosis of glioma types requires combining both histological features and molecular characteristics, which is an expensive and time-consuming procedure. Determining the tumor types directly from whole-slide images (WSIs) is of gr…
View article: Diffusion tensor imaging‐based machine learning for <scp>IDH</scp> wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features
Diffusion tensor imaging‐based machine learning for <span>IDH</span> wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features Open
Introduction This study addresses the lack of systematic investigation into the prognostic value of hand‐crafted radiomic features derived from diffusion tensor imaging (DTI) in isocitrate dehydrogenase (IDH) wild‐type glioblastoma (GBM), …
View article: Deciphering dynamic changes of the aging transcriptome with COVID-19 progression and convalescence in the human blood
Deciphering dynamic changes of the aging transcriptome with COVID-19 progression and convalescence in the human blood Open
View article: Polo-like kinase 1 is related with malignant characteristics and inhibits macrophages infiltration in glioma
Polo-like kinase 1 is related with malignant characteristics and inhibits macrophages infiltration in glioma Open
Background Tumor immune microenvironment (TIM) plays a critical role in tumorigenesis and progression. Recently, therapies based on modulating TIM have made great breakthroughs in cancer treatment. Polo-like kinase 1 (PLK1) is a crucial re…
View article: Tumor–neuron interactions: A novel concept contributor to glioblastoma invasion
Tumor–neuron interactions: A novel concept contributor to glioblastoma invasion Open
Recently, a study published in Cell by Venkataramani et al.1 demonstrated that neuronal (NEU), neural progenitor (NPC)-like, and nonmesenchymal (non-MES)-like glioblastoma cells (GBCs) could drive brain tumor cell invasion. Those astrocyte…
View article: Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade Glioma
Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade Glioma Open
Background Isocitrate dehydrogenase (IDH) mutation and 1p19q codeletion status have been identified as significant markers for therapy and prognosis in lower-grade glioma (LGG). The current study aimed to construct a combined machine learn…
View article: Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities
Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities Open
View article: Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma
Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma Open
A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
View article: Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma
Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma Open
The 2016 WHO classification of central nervous system tumors has included four molecular subgroups under medulloblastoma (MB) as sonic hedgehog (SHH), wingless (WNT), Grade 3, and Group 4. We aimed to develop machine learning models for pr…