Publications by authors named "Shuxin Ding"

Oral squamous cell carcinoma (OSCC), one of the most common types of head and neck squamous cell carcinoma (HNSCC), is characterized by high incidence and mortality. PVT1 is a long non-coding RNA (lncRNA) that plays an oncogenic role in various cancer types. This study aims to reveal the role and underlying molecular mechanism of PVT1 in OSCC progression.

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Article Synopsis
  • The study investigated the relationship between PSMD14 expression and cancer prognosis by analyzing data from public databases, including survival rates and clinicopathological features, until June 2023.
  • Results revealed that high levels of PSMD14 are associated with worse overall and disease-free survival in patients with various tumors, along with larger tumor sizes and increased metastasis.
  • PSMD14 is suggested as a potential biomarker for poor prognosis in multiple cancers, including lung cancer, breast cancer, and more.
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Introduction: Human oral squamous cell carcinoma (OSCC) is the most common type of oral cancer and has a poor survival rate. Cell-cell communication between OSCC cells and cancer-associated fibroblasts (CAFs) plays important roles in OSCC progression. We previously demonstrated that CAFs promote OSCC cell migration and invasion.

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BACKGROUND Odontogenic keratocyst (OKC) is a common odontogenic cyst, and it occurs more frequently in the mandible, with the posterior region of the dental arch, the angle, or the ramus being the most commonly affected sites. Odontogenic keratocyst occurring within the maxillary sinus is extremely rare, accounting for only about 1% of cases. CASE REPORT A 20-year-old female patient without any clinical symptoms underwent an oral examination, during which a dense dental shadow was identified within the maxillary sinus, surrounded by a low-density shadow.

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The operation and maintenance of railway signal systems create a significant and complex quantity of text data about faults. Aiming at the problems of fuzzy entity boundaries and low accuracy of entity recognition in the field of railway signal equipment faults, this paper provides a method for entity recognition of railway signal equipment fault information based on RoBERTa-wwm and deep learning integration. First, the model utilizes the RoBERTa-wwm pretrained language model to get the word vector of text sequences.

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Oral squamous cell carcinoma (OSCC) is one of the most common squamous cell carcinomas of the head and neck. The morbidity and mortality rates of OSCC have increased in recent years. However, the pathogenesis of this disease remains unknown.

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The preparation of amorphous solid dispersions using polymers is a commonly used formulation strategy for enhancing the solubility of poorly water-soluble drugs. However, a single polymer often does not bring significantly enhance the solubility or amorphous stability of a poorly water-soluble drug. We found an application of a unique and novel binary polymeric blend in the preparation of solid dispersions.

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