Publications by authors named "Dimin Zhu"

Background: We assessed the value of positron emission tomography/computed tomography (PET/CT) with [N]N-ammonia ([N]N-NH3) and [C]C-methionine ([C]C-MET) for the evaluation and management of recurrent secreting pituitary adenoma, which could not be detected by magnetic resonance imaging (MRI) or fluorine-18 fluorodeoxyglucose ([F]F-FDG) PET.

Methods: Nine consecutive patients with biochemical and clinical evidence of active recurrent tumor not detected by MRI and [F]F-FDG PET were enrolled in this study. All of the patients underwent [N]N-NH3 and [C]C-MET PET/CT, after which the pattern of tracer uptake was studied, the tumor position was located, and a clinical decision was made.

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Objective: The low expression of somatostatin receptor (SSTR) subtypes in somatotropinoma is associated with a poor response to somatostatin analogs (SSAs). However, the correlation between SSTRs and tumor invasion has not yet been clarified. Therefore, the authors aimed to investigate the relationship between SSTRs and tumor invasion, as well as the correlation between tumor invasiveness and pharmacological response to SSAs.

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Introduction: Patients with adrenocorticotropic hormone (ACTH)-secreting pituitary tumours (35% to 60%) present with somatic mutations in the USP8 gene. USP8 mutations lead to enhanced deubiquitination of the epidermal growth factor receptor (EGFR) and result in an imbalance in EGFR signalling, accompanied by excessive activation of ACTH production and cell growth. USP8 emerged as a novel and exciting candidate gene for Cushing's disease.

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The exploration of facial emotion recognition aims to analyze psychological characteristics of juveniles involved in crimes and promote the application of deep learning to psychological feature extraction. First, the relationship between facial emotion recognition and psychological characteristics is discussed. On this basis, a facial emotion recognition model is constructed by increasing the layers of the convolutional neural network (CNN) and integrating CNN with several neural networks such as VGGNet, AlexNet, and LeNet-5.

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Purpose: We aimed to perform a retrospective analysis of a rare subtype of corticotroph adenoma, Crooke's cell adenoma, to better understand its clinical features.

Methods: We collected -positive pituitary adenomas and screened Crooke's cell adenomas from January 2020 to December 2021 in our center. Case reports of such tumors were also collected through a literature search.

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Purpose: Synaptophysin (SYP) gene expression levels correlate with the survival rate of glioma patients. This study aimed to explore the feasibility of applying a multiparametric magnetic resonance imaging (MRI) radiomics model composed of a convolutional neural network to predict the SYP gene expression in patients with glioma.

Method: Using the TCGA database, we examined 614 patients diagnosed with glioma.

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Objective: To date, long noncoding RNAs (lncRNAs) have proven to function as key regulators in tumorigenesis. Among these lncRNAs, MEG3 displays low levels in various neoplasms and tumor cell lines. However, the regulatory mechanism of MEG3 and MIR-376B-3P, one of the microRNAs from downstream gene clusters of the DLK1-MEG3 locus, remains insufficiently defined.

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Purpose: Pituitary tumor is the common primary brain tumor in humans. For further studying the pathogenesis and new therapeutic targets of pituitary adenoma, cell lines and primary cells are necessary tools. Different from primary cells that have short survival time and hormone secretion maintenance time, cell lines would be endowed with immortal characteristics under the help of gene modification.

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Prolactinoma is a clinically common intracranial tumor. When serum prolactin levels are not controlled despite administration of a dopamine agonist, the condition is referred to as drug-resistant prolactinoma. The mechanism underlying persistent prolactin secretion in drug-resistant prolactinoma remains unclear.

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Prolactinoma is a common subtype of pituitary tumors. Dopamine receptor agonists are the preferred treatment for prolactinoma; however, with this therapy, drug resistance often occurs. In our previous work, we found that partial resistant prolactinomas showed increased fibrosis and that the transforming growth factor (TGF)-β1/Smad3 signaling pathway mediated fibrosis and was involved in drug resistance.

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Context: Nonfunctioning pituitary adenomas (NFPAs) are the major cause of hypopituitarism and infertility. However, the pathogenesis of NFPAs remains largely unknown. Previous studies have demonstrated the crucial role of miRNAs in the progression of pituitary adenomas.

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Purpose: To investigate the incidence and risk factors for early repolarization (ER) in patients with growth hormone (GH)-secreting pituitary adenomas.

Methods: From August 2014 to August 2016, patients with GH-secreting pituitary adenomas and non-functioning pituitary adenomas admitted to the First Affiliated Hospital, Sun Yat-sen University, were prospectively enrolled. Logistic regression analysis was used to investigate risk factors for ER development.

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Pituitary adenomas account for the top three primary intracranial tumors in terms of total incidence rates. The clinical symptoms presented by the disease are often characterized by a series of systemic endocrine disorders, severe occupational lesions, and even some malignant features, and therefore early diagnosis and predicting recurrence would be instructive for clinical treatment of pituitary adenomas. An increasing number of specific microRNA (miRNA) expression signatures have been identified in pituitary, and miRNAs are related with the pituitary tumorigenesis, dysfunction, neurodegeneration, and metastatic non-functioning pituitary carcinoma.

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Clinical nonfunctional pituitary adenomas (NFAs) account for about 40% of pituitary adenomas with almost no clinically relevant hormonal symptoms. Increasing evidence shows that many microRNAs are involved in the development and progression of pituitary adenomas. MicroRNA-524-5p (miR-524-5p) has been reported to cause characteristic alterations in various tumors.

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