4 results on '"Dongning, Liu"'
Search Results
2. Clinicopathological Significance of NMIIA Overexpression in Human Gastric Cancer.
- Author
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Dongning Liu, Lei Zhang, Zhiyong Shen, Fei Tan, Yanfeng Hu, Jiang Yu, and Guoxin Li
- Subjects
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STOMACH cancer , *GENE expression , *MYOSIN , *MESSENGER RNA , *REVERSE transcriptase polymerase chain reaction , *WESTERN immunoblotting , *IMMUNOHISTOCHEMISTRY - Abstract
Altered expressions of nonmuscle myosin IIA (NMIIA) have been observed in certain types of cancers, but the impact of the alterations in gastric cancer (GC) remains unclear. The purpose of this study was to evaluate the expression of NMIIA at the mRNA and protein level in patients with GC and to assess its clinical significance. We investigated the expression of NMIIA in fresh, paired GC tissues by reverse transcriptase polymerase chain reaction (RT-PCR; n = 14) and Western blot analysis (n = 36). Simultaneously, we performed immunohistochemistry (IHC) on paraffin embedded specimens, including 96 GC specimens, 30 matched normal specimens and 30 paired metastatic lymph node samples. NMIIA is overexpressed in GC compared with the adjacent normal gastric epithelium (p < 0.001) and high-level NMIIA expression is significantly correlated with the depth of wall invasion, lymph node metastasis, distant metastasis and Tumor Node Metastasis (TNM) stage. Furthermore, elevated NMIIA expression is an independent prognostic factor in multivariate analysis using the Cox regression model (p = 0.021). These findings indicate that overexpression of NMIIA may contribute to the progression and poor prognosis of GC. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
3. LASSO-based nomogram predicts the risk factors of low anterior resection syndrome for middle and low rectal cancer underwent robotic surgery.
- Author
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Houqiong, Ju, Yuli, Yuan, Yahang, Liang, Tao, Li, Yang, Liu, Yaxiong, Liu, Dongning, Liu, and Taiyuan, Li
- Subjects
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SURGICAL robots , *RISK assessment , *PREDICTION models , *EARLY medical intervention , *RESEARCH funding , *BODY mass index , *ACADEMIC medical centers , *T-test (Statistics) , *LOGISTIC regression analysis , *FISHER exact test , *TREATMENT effectiveness , *RETROSPECTIVE studies , *DESCRIPTIVE statistics , *MULTIVARIATE analysis , *DECISION making in clinical medicine , *MAGNETIC resonance imaging , *CHI-squared test , *EVALUATION of medical care , *SURGICAL complications , *ODDS ratio , *QUALITY of life , *STATISTICS , *COMBINED modality therapy , *DATA analysis software , *CONFIDENCE intervals , *TUMOR classification , *SENSITIVITY & specificity (Statistics) , *DISEASE risk factors ,RECTUM tumors - Abstract
Background: This study aims to analyze the influencing factors of postoperative Low Anterior Resection Syndrome (LARS) in patients with middle and low rectal cancer who underwent robotic surgery. It also seeks to predict the probability of LARS through a visual, quantitative, and graphical nomogram. This approach is expected to lower the risk of postoperative LARS in these patients and improve their quality of life through effective prevention and early intervention. Patients and methods: This research involved patients with middle and low rectal cancer who underwent robotic surgery in the Department of Gastrointestinal Surgery at the First Affiliated Hospital of Nanchang University from January 2015 to October 2022. A series of intestinal dysfunction symptoms arising from postoperative rectal cancer were diagnosed and graded using LARS scoring criteria. After the initial screening of all variables related to LARS with Lasso regression, they were included in logistic regression for further univariate and multivariate analysis to identify independent risk factors for LARS. A prediction model was then constructed. Results: The study included 358 patients. The parameters identified by Lasso regression included obstruction, BMI, tumor localization, maximum tumor diameter, AJCC stage, stoma, neoadjuvant therapy (NAT), and postoperative adjuvant therapy (AT). Univariate and multivariate analyses indicated that a higher BMI, lower tumor localization, higher AJCC stage, neoadjuvant therapy, and postoperative adjuvant therapy were independent risk factors for total LARS. The AUC of the prediction nomogram was 0.834, with a sensitivity of 0.825 and specificity of 0.741. The calibration curve demonstrated excellent concordance with the nomogram, indicating the prediction curve fit the diagonal well. Conclusion: Higher BMI, lower tumor localization, higher AJCC stage, neoadjuvant therapy, and adjuvant therapy were identified as independent risk factors for total LARS. A new predictive nomogram for postoperative LARS in patients with middle and low rectal cancer undergoing robotic surgery was developed, proving to be stable and reliable. This tool will assist clinicians in managing the postoperative treatment of these patients, facilitating better clinical decision-making and maximizing patient benefits. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. In vitro Study of the Effects of Lens Extract on Rat Retinal Neuron Survival and Neurite Outgrowth.
- Author
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Yanhua Wang, Yi Wang, Dongwu Wang, Nan Wu, Dongning Liu, Zhengqin Yin, and Meidong Zhu
- Subjects
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OPTIC nerve injuries , *POSTERIOR segment (Eye) , *RETINAL injuries , *RATS , *NEURONS - Abstract
Background: Optic nerve regeneration has previously been achieved by injuring the lens, which results in the release of lentogenic factors. However, these lentogenic factors are still unknown. Objectives: To investigate what were the lentogenic factors by examining the effects of lens extract and macrophage-conditioned medium (MCM) on the survival and the neurite outgrowth of rat retinal neurons in vitro. Methods: Retinal neurons were cultured in 4 groups: (1) Dulbecco's modified Eagle's medium (DMEM), (2) DMEMcontaining lens extract, (3) DMEM containing macrophage-conditioned medium (MCM-D), (4) DMEM and medium from macrophages grown with lens extract (MCM-L). Neurite outgrowth and neuron survival time were observed. The density of retinal neurons with neurites and the longest neurites of the cells were measured on days 1, 3 and 5. Results: Retinal neurons survive for 12-14 days in DMEM containing lens extract. However, the cells only survive for 6 days in DMEM and only 7 days in DMEM containing MCM-L or MCM-D. The present results indicate that lens extract may directly promote survival of rat retinal neurons and neurite outgrowth in vitro. The MCM also promoted cell survival and neurite outgrowth but its effects were weaker than that of the lens extract. We postulate that lens extract exerts its effect by direct neurotrophic effects and/or indirectly by activating macrophagesin vitro. Copyright © 2009 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]
- Published
- 2009
- Full Text
- View/download PDF
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