Publications by authors named "Haibiao Zhao"

Objectives: Temozolomide (TMZ) resistance is a key factor that restricts the therapeutic effect of glioblastoma (GBM). YTH-domain family member 2 (YTHDF2) is highly expressed in GBM tissues, while the mechanism of YTHDF2 in TMZ resistance in GBM remains not fully elucidated.

Methods: The YTHDF2 expression in TMZ-resistant tissues and cells was detected.

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Exosomes derived from mesenchymal stem cells (MSCs) have been considered as an alternative for cell therapy of acute spinal cord injury (ASCI). However, the underlying mechanism remains unclear. Here, ASCI mouse model and hypoxic cell model were established to evaluate the effects of MSCs and MSCs-derived exosomes (MSCs-exo).

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Article Synopsis
  • Isocitrate dehydrogenase (IDH) mutation and 1p19q codeletion are important genetic markers for assessing therapy options and prognosis in lower-grade glioma (LGG), and this study created a machine learning model to predict different molecular subtypes of LGG using MRI data.
  • The model was trained on a sample of 269 LGG patients using 5,929 extracted MRI features, and it improved accuracy by combining these features with qualitative assessments and clinical data.
  • The final model demonstrated strong predictive performance, achieving area under the curve (AUC) values over 0.80 for key molecular subtypes when incorporating various factors, which suggests a promising non-invasive approach for preoperative diagnosis of LGG.
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Article Synopsis
  • A deep learning signature (DLS) was created using diffusion tensor imaging (DTI) to predict overall survival in patients with infiltrative gliomas and explore related biological pathways.
  • The DLS demonstrated a strong association with survival, serving as an independent predictor and outperforming existing risk systems when combined, showing improved accuracy in survival predictions.
  • Five significant biological pathways were linked to the DLS, indicating that therapies targeting neuron-to-brain tumor communication could be particularly beneficial for high-risk glioma patients identified by the DTI-derived DLS.
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Malignant peripheral nerve sheath tumors (MPNSTs) are rare soft tissue malignancies that can occur in any part of the body. The most common sites are the proximal limbs and trunk. Intracranial MPNSTs are rare; most originate from the auditory, trigeminal, and other cranial nerves, and occurrence within the brain parenchyma is rarer.

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This study aimed to explore the effects and function of microRNA-101a-3p (miR-101a-3p) in epilepsy. Rat model of pilocarpine-induced epilepsy was established and the seizure frequency was recorded. Expression of miR-101a-3p and c-Fos in hippocampus tissues of Rat models were detected by qRT-PCR and western blot.

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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 predicting MB molecular subgroups based on multi-parameter magnetic resonance imaging (MRI) radiomics, tumor locations, and clinical factors. A total of 122 MB patients were enrolled retrospectively.

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Background: To develop a radiomics signature for predicting overall survival (OS)/progression-free survival (PFS) in patients with medulloblastoma (MB), and to investigate the incremental prognostic value and biological pathways of the radiomics patterns.

Methods: A radiomics signature was constructed based on magnetic resonance imaging (MRI) from a training cohort (n = 83), and evaluated on a testing cohort (n = 83). Key pathways associated with the signature were identified by RNA-seq (GSE151519).

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Inflammation and immunoreaction markers were correlated with the survival of patients in many tumors. However, there were no reports investigating the relationships between preoperative hematological markers and the prognosis of medulloblastoma (MB) patients based on the molecular subgroups (WNT, SHH, Group 3, and Group 4). A total 144 MB patients were enrolled in the study.

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The prediction of clinical outcome for patients with infiltrative gliomas is challenging. Although preoperative hematological markers have been proposed as predictors of survival in glioma and other cancers, systematic investigations that combine these data with other relevant clinical variables are needed to improve prognostic accuracy and patient outcomes. We investigated the prognostic value of preoperative hematological markers, alone and in combination with molecular pathology, for the survival of 592 patients with Grade II-IV diffuse gliomas.

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During neurological surgery, neurosurgeons have to transform the two-dimensional (2D) sectional images into three-dimensional (3D) structures at the cognitive level. The complexity of the intracranial structures increases the difficulty and risk of neurosurgery. Mixed reality (MR) applications reduce the obstacles in the transformation from 2D images to 3D visualization of anatomical structures of central nervous system.

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CD204 is a specific marker of tumor-associated macrophages (TAMs) in glioma. However, the expression levels of CD204 and its involvement in glioma are not fully understood. In this large-scale study, we assessed the expression and function of CD204 in whole-grade glioma molecularly and clinically.

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Background: Both LncRNA UCA1 and miR-495 are crucial gene regulators in various disorders. This study aims to investigate their role in epilepsy and seizure-induced brain injury.

Methods: In this research, rat model of epilepsy was established by pilocarpine induction.

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