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@# Objection: To analyze the factors affecting the prognosis of patients with gastric neuroendocrine neoplasms (G-NENs) by using the surveillance of National Cancer Institute (NCI) of America, Epidemiology and End Results (SEER) database, and to construct a prognostic Nomogram model for individualized prediction of prognosis in patients with G-NENs. Methods: The clinical data of 2720 G-NENs patients with complete follow-up data from 2010 to 2015 in the SEER database were collected. The prognostic Nomogram model was constructed based on independent risk factors determined by survival analysis. The consistency index (C-index) and calibration curve were used to evaluate its accuracy.Area under the curve (AUC) was used to compare the evaluation value between the Nomogram and the 7th edition of AJCC TNM staging. Results: The 1-, 3-, and 5-year survival rates of 2,720 patients with G-NENs were 88.14%, 79.09%, and 71.86%, respectively. Multivariate COX regression analysis showed that gender, age, marital status, other associated tumors, histological type, tumor grade, T stage, M stage, and surgery were independent risk factors affecting survival time of GNENs patients. The C-index of newly constructed Nomogram prediction model was 0.816, which was significantly higher than 0.702 of the 7thAJCC TNM staging (P<0.001), and the 1-, 3- and 5-year calibration curves showed a good agreement between predicted survival and actual survival. The AUC for 1-, 3- and 5-year survival by Nomogram prognostic model was 0.800, 0.811, and 0.820, which was higher than 0.650, 0.688 and 0.698 of the 7th AJCC TNM staging, and the differences were statistically significant (Z= 6.600, 8.085, 9.632, all P<0.0001). Conclusion: The Nomogram prediction model drawn in this study has a high prognostic value and can individually predict the survival rate of G-NENs patients, which is helpful for clinical treatment decision-making and clinical research options.
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Objective: To explore the false-negative possibility in genetic test of congenital long QT syndrome (LQTS) by next-generation sequencing (NGS). Methods: A total of 28 genomic DNA samples were collected from 4 laboratories including 2 commercial medical laboratories using HiSeq2000 platform as Lab1,n=6 and Lab2,n=8; 1 commercial research service laboratory using Ion-torrent platform as Lab3,n=8 and 1 academic laboratory using HiSeq2000 platform as Lab 4,n=6. Sequencing coverage in the exons of protein-coding region in 3 main LQTS pathogenic genes as KCNQ1, KCNH2, SCN5A and possible pathogenic variants were quantitatively analyzed. Results: In Lab1, Lab 2 and Lab 4 with HiSeq2000 platform, above 98% protein coding regions in 3 pathogenic genes were covered with>10-fold reads and 90%-95% were covered with>30-fold reads. In 2 commercial medical laboratories, 3.63% and 9.84% protein coding regions of KCNQ1 gene in 14 samples were covered with<10-fold reads and with<30-fold reads; lower than 10-fold covering region was focused in the 1st exon including about 2% known or likely pathogenic variants. In 2 commercial medical laboratories, 2.64% and 15.76% protein coding regions of KCNH2 gene in 14 samples were covered with<10-fold reads and with<30-fold reads; low covering region was located in multiple exons. For the data from Lab 1, as high as 28.56% protein coding regions of KCNH2 gene were covered with<30-fold reads including 113 (19.79%) known or likely pathogenic variants. SCN5A gene had the best coverage of protein coding region, with no<10-fold reads in all 4 Labs and no<30-fold reads in 2 commercial medical laboratories. Conclusion: Currently, NGS has low coverage region in both KCNQ1 and KCNH2 genes, pathogenic variants could be missed and false-negative possibility should be highly alert.
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No presente estudo foi analisada a bactéria S. aureus isolada de diferentes fontes de transmissão durante a ordenha de vacas por meio de técnica de amplificação de genes da toxina. As amostras de leite e do sóstios foram obtidas antes da ordenha dos animais e as de teteiras antes e durante a ordenha sob diferentes condições climáticas. A análise dos genes das enterotoxinas A a D e da toxina da síndrome do choque tóxico foi efetuada por meio de técnica de amplificação das respectivas sequências codificadoras. O genes e a foi o mais prevalente dentre os pesquisados e a maioria dos isolados foi detectada em amostras de leite de quartos mamários com mastite. A presença de genes de toxinas estafilocócicas em S. aureus isolados de diferentes fontes de transmissão dentro da cadeia epidemiológica da mastite bovina evidencia a possibilidade de veiculação desse micro-organismo por meio de leite contaminado e que pode representar riscos à saúde pública.
Sujets)
Lait , Mastite , Santé publique , Staphylococcus aureus , Toxines bactériennes/isolement et purificationRésumé
BACKGROUND: The complete blood cell count (CBC) and leukocyte differential counts are useful tools for making a diagnosis, treating and monitoring a disease. This study evaluated the perfor-mance of Beckman-Coulter's new model, the Coulter GEN-S system (Beckman Coulter Corpora-tion, Miami, USA; GEN-S), and compared it with the Sysmex NE-8000 (Sysmex Corporation, Kobe, Japan; NE-8000) and Sysmex R-3000 (Sysmex Corporation, Kobe, Japan; R-3000). METHODS: One hundred and four blood samples and 120 blood samples were randomly chosen for a comparison analysis from various in-patients and healthy persons, who visited Samsung med-ical center, respectively. The GEN-S system was evaluated according to the linearity and how well it compared with the NE-8000 in terms of the CBC, and the efficiency of the leukocyte suspect flags. RESULTS: The GEN-S showed that the determination coefficients (R(2)) of the WBC, RBC, platelet count and hemoglobin level were more than 0.94 (P 0.95 (P < 0.001) when compared with the NE-8000. In addition, the correlations of the leukocyte differential counts for neutrophils, eosinophils, and lymphocytes were good, but those for monocytes and basophils were poor. The sensitivity, specificity and positive predictive value of the leukocyte suspect flags of the GEN-S system were 89%, 73%, and 43%, respectively. CONCLUSIONS: These results demonstrate the comparable performance of the GEN-S system in clinical laboratories. However, a separate microscopic differential count is required due to the low positive predictive value for the leukocyte suspect flags.