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  • 1
    In: Public Health Genomics, S. Karger AG, Vol. 25, No. 3-4 ( 2022), p. 108-111
    Kurzfassung: During coronavirus disease 2019 (COVID-19) pandemic, the genetic mutations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) occurred frequently. Some mutations in the spike protein are considered to promote transmissibility of the virus, while the mutation patterns in other proteins are less studied and may also be important in understanding the characteristics of SARS-CoV-2. We used the sequencing data of SARS-CoV-2 strains in California to investigate the time-varying patterns of the evolutionary genetic distance. The accumulative genetic distances were quantified across different time periods and in different viral proteins. The increasing trends of genetic distance were observed in spike protein (S protein), the RNA-dependent RNA polymerase (RdRp) region and nonstructural protein 3 (nsp3) of open reading frame 1 (ORF1), and nucleocapsid protein (N protein). The genetic distances in ORF3a, ORF8, and nsp2 of ORF1 started to diverge from their original variants after September 2020. By contrast, mutations in other proteins appeared transiently, and no evident increasing trend was observed in the genetic distance to the original variants. This study presents distinct patterns of the SARS-CoV-2 mutations across multiple proteins from the aspect of genetic distance. Future investigation shall be conducted to study the effects of accumulative mutations on epidemics characteristics.
    Materialart: Online-Ressource
    ISSN: 1662-4246 , 1662-8063
    Sprache: Englisch
    Verlag: S. Karger AG
    Publikationsdatum: 2022
    ZDB Id: 2457026-6
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    In: Oncology, S. Karger AG, Vol. 68, No. 4-6 ( 2005), p. 485-492
    Kurzfassung: 〈 i 〉 Objective: 〈 /i 〉 This is a randomized phase II study designed to compare the toxicity profile of a non-platinum-based with a platinum-based regimen in the treatment of advanced non-small cell lung cancer. 〈 i 〉 Methods: 〈 /i 〉 Eighty-nine chemotherapy-naïve patients were randomized either to gemcitabine (1,000 mg/m 〈 sup 〉 2 〈 /sup 〉 , 30-min infusion on days 1, 8 and 15) and oral etoposide (50 mg, days 1–14; GE group) or gemcitabine at the same schedule and cisplatin (75 mg/m 〈 sup 〉 2 〈 /sup 〉 on day 15; GP group). The primary endpoint is toxicity, and secondary endpoints include response rate, survival outcome and quality of life (QOL). 〈 i 〉 Results: 〈 /i 〉 The incidence of WHO grade 3 or 4 anemia, neutropenia and thrombocytopenia was 29, 44 and 22% (GE group), and 28, 49 and 23% (GP group), respectively (p = 0.75, 0.95 and 0.87, respectively). The rate of grade 2 or above nausea was numerically higher in the GP arm, but the difference was not statistically significant (GE 15.5%, GP 27.7%, p = 0.20). The rate of vomiting in the GE and GP arms was 20.0 and 20.5%, respectively (p = 0.96). However, subjective changes in QOL scores on nausea and vomiting were significantly higher in the GP arm (p = 0.001). Other symptoms including sore mouth and hair loss were significantly higher in the GE arm (p = 0.003 and 0.007, respectively). There were also significant differences observed in emotional (p = 0.014), cognitive (p = 0.028) and social functioning (p = 0.034) in favor of GP. The differences in tumor response (35.5 and 46.5% for GE and GP, respectively) were not significantly different. Median time to disease progression (33.8 and 40.7 weeks, respectively) and overall survival (41.4 and 57.3 weeks, respectively) were of borderline significance in favor of the GP arm (p = 0.055). 〈 i 〉 Conclusion: 〈 /i 〉 This toxicity profile of GE is similar to GP, but the apparent inferior efficacy may discourage further investigation.
    Materialart: Online-Ressource
    ISSN: 0030-2414 , 1423-0232
    RVK:
    Sprache: Englisch
    Verlag: S. Karger AG
    Publikationsdatum: 2005
    ZDB Id: 1483096-6
    ZDB Id: 250101-6
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    In: Oncology, S. Karger AG, Vol. 61, No. 4 ( 2001), p. 275-283
    Kurzfassung: 〈 i 〉 Objective: 〈 /i 〉 Although many attempts have been made to identify tumour-specific α-fetoprotein (AFP) glycoforms or other serological markers for the diagnosis of hepatocellular carcinoma (HCC), none of the available markers has, so far, shown satisfactory sensitivity and specificity. Here we aimed to apply classification tree and neural network algorithms to interpret the levels of multiple serological liver markers to improve overall specificity and sensitivity, particularly with a view to discriminating between liver cirrhosis with and without HCC. 〈 i 〉 Methods: 〈 /i 〉 We developed classification trees and neural networks that identified serological liver marker profiles comprising AFP, α1-antitrypsin (A1AT), α2-macroglobulin (A2MG), thyroxine-binding globulin (TBG), transferrin and albumin as well as sex and age, which might permit the diagnosis of HCC. Data were collected from 65 HCC patients, 51 patients with liver cirrhosis alone (LC) and 51 normal healthy subjects. 〈 i 〉 Results: 〈 /i 〉 The generated classification trees and neural networks showed similar diagnostic values in differentiating HCC from LC. The classification trees identified AFP, A1AT and albumin as the most important classification parameters, whereas the neural networks identified A2MG, AFP, A1AT and albumin as the predominant factors. The classification logic of the classification trees indicated that more HCC cases could be identified among cases with slightly elevated AFP levels by using the serum levels of A1AT and albumin. The neural networks were also useful for the identification of the HCC cases when the AFP levels were below 500 ng/ml (p 〈 0.005). The neural networks could identify HCC cases with AFP levels within the normal range, but the classification trees could not. By combining the conventional AFP test and the neural networks, the overall diagnostic sensitivity for HCC was significantly increased from 60.0 to 73.8% (p 〈 0.05) while maintaining a high specificity (88.2%). The sensitivities for tumors of different sizes were similar. 〈 i 〉 Conclusion: 〈 /i 〉 The neural network algorithm appeared to be more powerful than the classification tree algorithm in the identification of the distinctive serological liver marker profiles for the diagnosis of the HCC subgroup without significant elevation in serum AFP levels. By incorporating serological levels of other liver markers and including data from a large number of patients and control subjects, it should prove possible to develop a versatile neural network for early diagnosis of HCC.
    Materialart: Online-Ressource
    ISSN: 0030-2414 , 1423-0232
    RVK:
    Sprache: Englisch
    Verlag: S. Karger AG
    Publikationsdatum: 2001
    ZDB Id: 1483096-6
    ZDB Id: 250101-6
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    Online-Ressource
    Online-Ressource
    S. Karger AG ; 1996
    In:  Oncology Vol. 53, No. 1 ( 1996), p. 92-95
    In: Oncology, S. Karger AG, Vol. 53, No. 1 ( 1996), p. 92-95
    Materialart: Online-Ressource
    ISSN: 1423-0232 , 0030-2414
    RVK:
    Sprache: Englisch
    Verlag: S. Karger AG
    Publikationsdatum: 1996
    ZDB Id: 1483096-6
    ZDB Id: 250101-6
    Standort Signatur Einschränkungen Verfügbarkeit
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