Publications by authors named "Yingrui Zong"

Oral squamous cell carcinoma (OSCC) is the most frequent type of oral malignancy with high metastasis and poor prognosis. The deubiquitinating enzyme Ubiquitin Specific Peptidase 44 (USP44) regulates the mitotic checkpoint, and its deficiency leads to aneuploidy and increases tumor incidence. However, the role of USP44 in OSCC is not well understood.

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Objectives: This study aims to investigate possible hub genes, associated pathways, and transcription factors between chronic periodontitis (CP) and Parkinson's disease (PD).

Methods: Gene expression profiles of CP (GSE16134, GSE23586, and GSE10334) and PD (GSE20141 and GSE49036) were downloaded from the gene expression omnibus (GEO) database for differential expression analysis and functional clustering analysis. The protein-protein interaction (PPI) network was constructed, and hub genes were screened by four topological analysis algorithms and modular segmentation.

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Article Synopsis
  • - The study aims to explore how the preoperative systemic immune-inflammation index (SII) affects relapse-free survival (RFS) in patients with mucoepidermoid carcinoma (MEC) following surgery.
  • - Analysis of data from 135 MEC patients revealed that those with a lower SII had significantly better survival rates, and factors like high SII, low tumor differentiation, and cervical lymph node metastasis were linked to poor RFS.
  • - A nomogram model was developed based on these findings to effectively predict RFS, confirming that lower preoperative SII correlates with better patient outcomes.
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Objectives: Oral squamous cell carcinoma (OSCC) is a common malignancy in the oral and maxillofacial regions with an increasing incidence rate. Circular RNA (circRNA) is a recently discovered long-chain non-coding RNA family member. The objective of this study was to analyze the role of circ_0068162 in OSCC development.

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Objectives: To investigate possible cross-talk genes, associated pathways, and transcription factors between chronic periodontitis (CP) and chronic obstructive pulmonary disease (COPD).

Methods: The gene expression profiles of CP (GSE10334 and GSE16134) and COPD (GSE76925) were downloaded from the GEO database. Differential expression and functional clustering analyses were performed.

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