Publications by authors named "Chunjuan Du"

The long noncoding RNA DARS-AS1 was aberrantly expressed and participated in several human cancer progressions, whereas whether DARS-AS1 is involved in human gastric cancer remains unclear. This study aimed to investigate the influence of DARS-AS1 on gastric cancer progression and explore the potential regulatory network of DARS-AS1/miR-330-3p/NAT10. The expression levels of DARS-AS1, miR-330-3p, and NAT10 were measured by quantitative real-time polymerase chain reaction.

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Background: Lung cancer is the main cancer-related deaths worldwide. In this study, we explored the clinical prognostic significance and functional role of miR-939-3p in lung cancer.

Methods: We analyzed the expression of miR-939-3p in lung cancer tissues and cells by qRT-PCR.

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Cytokine-induced killer (CIK) cells can potentially enhance the tumor-killing activity of chemotherapy. This study aimed to evaluate the effects of CIK cells on cisplatin (DDP) resistance in the human lung adenocarcinoma cell line A549/DDP. The detect resistance index, drug resistance related-genes and cytokine secretion of A549/DDP co-cultured with CIK cells were assayed .

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Article Synopsis
  • The study analyzed the expression levels of p53 and LC3A in esophageal squamous cell carcinomas (ESCCs) and their impact on patient prognosis.
  • High levels of p53 and LC3A were found in about 57% and 54% of tumor samples, respectively, with p53 associated with positive lymph node involvement.
  • Patients with co-expression of both proteins had significantly lower 5-year survival rates, indicating that combined p53 and LC3A expression serves as an independent prognostic marker for ESCC patients.
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Objective: Cytokine-induced killer (CIK) cells have the ability to kill tumor in vitro and in vivo. This study was designed to evaluate the clinical efficacy of CIK cell immunotherapy following regular chemotherapy in patients with non-small cell lung cancer (NSCLC) after surgery.

Methods: A paired study, with 87 stage I-IV NSCLC patients in each group, was performed.

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Haematopoietic cytokines are important in the regulation of haematopoiesis and immune responses, and they can also influence lymphocyte development. Hundreds of members of several different cytokines families have been discovered by some different methods. But fast evolution rate and low similarity of cytokines prevent identifing novel members of a cytokine family completely with classical tools such as BLAST.

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Objective: To study the comprehensive biomechanical properties of the cancellous bone of distal femur through a series of mechanical tests, and provide relevant subjects with the basic technical data.

Background: The study on bone mechanics is a commonly used approach to evaluate the biomechanical competency of bone. The biomechanical properties of bone have come to be the precondition of the further research of these relevant clinical subjects.

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The genome comparison of inter-species and intra-species can give us much information about the origin and evolution of viruses. There are 137 mutation sites in the 17 genomes of SARS-CoV,and the mutation rate is about 8.04 x 10(-3) substitution/site/year.

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Recently, a new coronavirus was isolated from the lung tissue of autopsy sample and nasal/throat swabs of the patients with Severe Acute Respiratory Syndrome (SARS) and the causative association with SARS was determined. To reveal further the characteristics of the virus and to provide insight about the molecular mechanism of SARS etiology, a proteomic strategy was utilized to identify the structural proteins of SARS coronavirus (SARS-CoV) isolated from Vero E6 cells infected with the BJ-01 strain of the virus. At first, Western blotting with the convalescent sera from SARS patients demonstrated that there were various structural proteins of SARS-CoV in the cultured supernatant of virus infected-Vero E6 cells and that nucleocaspid (N) protein had a prominent immunogenicity to the convalescent sera from the patients with SARS, while the immune response of spike (S) protein probably binding with membrane (M) glycoprotein was much weaker.

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Through reading the articles, this study points out the shortage of gene prediction and function research about SARS-CoV, and predict it again for developing effective drugs and future vaccines. Using twelve gene prediction methods to predict coronavirus known genes, we select four better methods including Heuristic models, Gene Identification, ZCURVE_CoV and ORF FINDER to predict SARS-CoV(BJ01), and use ATGpr for analyzing probability of initiation codon and Kozak rule, search transcription regulating sequence(TRS) in order to improve the accuracy of predicted genes. Twenty-one probable new genes with more than 50 amino acids have been obtained excluding 13 ORFs which are similar to the genes of NCBI and relative articles.

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