Medicine
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Meta Analysis
Association between the LINC00673 rs11655237 C> T polymorphisms with cancer risk in the Chinese population: A meta-analysis.
The present study aimed to conduct a meta-analysis of previously published studies in order to clarify the association of long noncoding RNA (lncRNAs) LINC00673 rs11655237 C> T polymorphism with cancer risk. ⋯ Our results find that rs11655237 contributed to occurrence of cancer in all models in Chinese population.
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Rheumatoid arthritis (RA) is an inflammatory autoimmune disease, which is well known for its poor symptoms, and the incidence is increasing worldwide. Although conventional medicines are practiced initially, patients often move or accompany to complementary and alternative medicines for better outcomes. Herbal medications, one of traditional medicinal approach, are widely used in clinical conditions. However, no research has broadly reviewed the current research trends regarding the scope of herbal medicines in RA. The aim of this study was to conduct a bibliometric analysis of applications of herbal medicine for RA from 1991 to the present. ⋯ This bibliometric study identified trends in herbal medicine for RA from 1991 to 2021, which may guide the hot topics and future directions in this research field.
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A cohort of 123 patients diagnosed with gliomas (World Health Organization grades II-IV) who underwent surgery and was treated at our center between January 2016 and July 2020, was enrolled in this retrospective study. Radiomics features were extracted from MR T1WI, T2WI, T2FLAIR, CE-T1WI, and ADC images. Patients were randomly split into training and validation sets at a ratio of 4:1. A radiomics signature was constructed using the least absolute shrinkage and selection operator (LASSO) to train the SVM model using the training set. The prediction accuracy and area under curve and other evaluation indexes were used to explore the performance of the model established in this study for predicting the ATRX mutation state. ⋯ These results indicate that radiomic features derived from preoperative MRI facilitat efficient prediction of ATRX status in gliomas, thus providing a novel evaluation method for noninvasive imaging biomarkers.
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To analyze the expression of apolipoprotein E (APOE) in endometrial cancer and its influence on the long-term prognostic survival of endometrial cancer patients. The specimens of tumor tissues and adjacent normal tissues from 96 endometrial cancer patients from January 2013 to December 2015 were included in this study. Immunohistochemistry was used to measure the expression of APOE in tumor tissues and adjacent normal tissues. ⋯ Lymph node metastasis and APOE were independent risk factors affecting the prognosis and survival of patients (P < .05). The results of Kaplan-Meier survival analysis showed that the survival time of APOE high expression group was shorter than that of low APOE expression. APOE is overexpressed in endometrial cancer tissues, and its expression level can provide important information for clinical diagnosis and treatment.
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Ubiquitination related genes (URGs) are important biomarkers and therapeutic targets in cancer. However, URG prognostic prediction models have not been established in breast cancer (BC) before. Our study aimed to identify URGs to serve as potential prognostic indicators in patients with BC. ⋯ Univariate and multivariate Cox regression analysis showed that the 4-URG signature was independent risk factor for BC patients. GSEA analysis showed that the 4-URG signature may related to the function of DNA replication, DNA repair, and cell cycle. Our study developed a novel 4-URG signature as a potential indicator for BC.