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  1. Article ; Online: Sphingomyelin synthases and testicular function.

    Lee, Nikki Py / Wong, Elissa Wp / Mruk, Dolores D / Cheng, C Yan

    Expert review of endocrinology & metabolism

    2018  Volume 3, Issue 5, Page(s) 593–601

    Abstract: Sphingomyelin synthase (SMS) is a cellular enzyme that catalyzes de novo synthesis of sphingomyelin (SM), which is a vital lipid component of cell membranes. Both members of the SMS family, SMS1 and SMS2, are found in mammalian testes and they are ... ...

    Abstract Sphingomyelin synthase (SMS) is a cellular enzyme that catalyzes de novo synthesis of sphingomyelin (SM), which is a vital lipid component of cell membranes. Both members of the SMS family, SMS1 and SMS2, are found in mammalian testes and they are located in distinctive subcellular compartments, with SMS1 in the Golgi apparatus and SMS2 in the plasma membrane. At present, the precise function of SMS in the testis remains unknown. Recent studies have demonstrated an unique association of SMS2 with spermatids, particularly near developing acrosomes and the junction restructuring site at the apical ectoplasmic specialization (a testis-specific atypical adherens junction type) and Leydig cells in the rat testis. These data illustrate the possible involvement of SMS2 in spermiogenesis and, perhaps, steroidogenesis in male reproductive function. This review summarizes the latest findings on SMS in the field, particularly its role in testicular function.
    Language English
    Publishing date 2018-10-05
    Publishing country England
    Document type Journal Article
    ISSN 1744-8417
    ISSN (online) 1744-8417
    DOI 10.1586/17446651.3.5.593
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Predicting prognosis in hepatocellular carcinoma after curative surgery with common clinicopathologic parameters

    Lamb John / Ferguson Mark D / Zhang Chunsheng / Mao Mao / Lee Nikki PY / Luk John M / Hao Ke / Dai Hongyue / Ng Irene O / Sham Pak C / Poon Ronnie TP

    BMC Cancer, Vol 9, Iss 1, p

    2009  Volume 389

    Abstract: Abstract Background Surgical resection is one important curative treatment for hepatocellular carcinoma (HCC), but the prognosis following surgery differs substantially and such large variation is mainly unexplained. A review of the literature yields a ... ...

    Abstract Abstract Background Surgical resection is one important curative treatment for hepatocellular carcinoma (HCC), but the prognosis following surgery differs substantially and such large variation is mainly unexplained. A review of the literature yields a number of clinicopathologic parameters associated with HCC prognosis. However, the results are not consistent due to lack of systemic approach to establish a prediction model incorporating all these parameters. Methods We conducted a retrospective analysis on the common clinicopathologic parameters from a cohort of 572 ethnic Chinese HCC patients who received curative surgery. The cases were randomly divided into training (n = 272) and validation (n = 300) sets. Each parameter was individually tested and the significant parameters were entered into a linear classifier for model building, and the prediction accuracy was assessed in the validation set Results Our findings based on the training set data reveal 6 common clinicopathologic parameters (tumor size, number of tumor nodules, tumor stage, venous infiltration status, and serum α-fetoprotein and total albumin levels) that were significantly associated with the overall HCC survival and disease-free survival (time to recurrence). We next built a linear classifier model by multivariate Cox regression to predict prognostic outcomes of HCC patients after curative surgery This analysis detected a considerable fraction of variance in HCC prognosis and the area under the ROC curve was about 70%. We further evaluated the model using two other protocols; leave-one-out procedure (n = 264) and independent validation (n = 300). Both were found to have excellent prediction power. The predicted score could separate patients into distinct groups with respect to survival (p-value = 1.8e-12) and disease free survival (p-value = 3.2e-7). Conclusion This described model will provide valuable guidance on prognosis after curative surgery for HCC in clinical practice. The adaptive nature allows easy accommodation for future new biomarker inputs, and it may serve as the foundation for future modeling and prediction for HCC prognosis after surgical treatment.
    Keywords Neoplasms. Tumors. Oncology. Including cancer and carcinogens ; RC254-282 ; Internal medicine ; RC31-1245 ; Medicine ; R ; DOAJ:Oncology ; DOAJ:Medicine (General) ; DOAJ:Health Sciences
    Subject code 616 ; 610
    Language English
    Publishing date 2009-11-01T00:00:00Z
    Publisher BioMed Central
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Comparative proteomic analysis of mouse livers from embryo to adult reveals an association with progression of hepatocellular carcinoma

    Lee, Nikki P.Y / Leung, Kar-wai / Cheung, Nicole / Lam, Brian Y / Xu, Michelle Z / Sham, Pak C / Lau, George K / Poon, Ronnie T.P / Fan, Sheung Tat / Luk, John M

    Proteomics. 2008 May, v. 8, no. 10

    2008  

    Abstract: To identify potential oncofetal biomarkers that distinguish hepatocellular carcinoma (HCC) from healthy liver tissues, we compared and analyzed the proteomic profiles of mouse livers at different developmental stages. Fetal (E13.5, E16.5), newborn (NB), ... ...

    Abstract To identify potential oncofetal biomarkers that distinguish hepatocellular carcinoma (HCC) from healthy liver tissues, we compared and analyzed the proteomic profiles of mouse livers at different developmental stages. Fetal (E13.5, E16.5), newborn (NB), postnatal (3-week) and adult (3-month) livers were isolated and profiled by 2-D PAGE. Statistical analysis using linear regression and false discovery rate (FDR) revealed that 361 protein spots showed significant changes. Unsupervised hierarchical tree analysis segregated the proteins into fetal, NB, and postnatal-adult clusters. Distinctive protein markers were identified by MALDI-TOF/MS and the corresponding mRNA profiles were further determined by Q-PCR. Fetal markers (hPCNA, hHSP7C, hHEM6) and postnatal-adult markers (hARGI1, hASSY, hBHMT, hFABPL) were selected for testing against a panel of seven human hepatocyte/HCC cell lines and 59 clinical specimens. The fetal proteins were found to be overexpressed in the metastatic HCC cell lines and the tumor tissues, whereas the postnatal-adult proteins were expressed in non-tumor tissues and normal hepatocytes. This "Ying-Yang" pattern, as orchestrated by distinct fetal and adult markers, is hypothesized to indicate the progressive change of the liver from a growing, less-differentiated organ into a functional metabolic center. Thus, embryogenesis and tumorigenesis share certain oncofetal markers and adult "hepatic" phenotypes are lost in HCC.
    Language English
    Dates of publication 2008-05
    Size p. 2136-2149.
    Publishing place Wiley-VCH Verlag
    Document type Article
    ZDB-ID 2032093-0
    ISSN 1615-9861 ; 1615-9853
    ISSN (online) 1615-9861
    ISSN 1615-9853
    DOI 10.1002/pmic.200700590
    Database NAL-Catalogue (AGRICOLA)

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