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        Comparison of the safety between cervical conization and hysterectomy for patients with cervical adenocarcinoma in situ

        Jingjing Liu,Yu Wang,Xiaoyun Wan,Jian Zou,Yedan Zhu,Weiguo Lv,Yuanming Shen 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.1

        Objective: To compare the safety between cervical conization (CC) alone and hysterectomy for patients with adenocarcinoma in situ (AIS) of the cervix. Methods: Patients diagnosed with AIS after CC during 2007–2021 were identified by computerized databases at Women’s Hospital of Zhejiang University School of Medicine. A total of 453 AIS patients were divided into 2 groups according to uterus preservation: hysterectomy group (n=300) and CC(s) alone group (n=153). The prevalence of residual disease and disease recurrence was compared between patients treated by CC(s) alone and hysterectomy. The prevalence of residual disease in specimens from women who had a hysterectomy and repeat CC were compared between positive and negative margins of CC. The factors influencing residual disease and disease recurrence were assessed. Results: Among 310 specimens from women who had a hysterectomy or repeat CC, the prevalence of residual disease was 50.6% (45/89) for a positive margin and 2.3% (5/221) for a negative margin (p=0.000). Four patients had recurrence of vaginal intraepithelial neoplasia in those treated by hysterectomy and one had recurrence of cervical squamous intraepithelial neoplasia in those treated by CC(s) alone. The prevalence of recurrence was 0.7% (1/153) for CC(s) alone and 1.3% (4/300) for hysterectomy (p=0.431). Hysterectomy did not influence residual disease or disease recurrence. Conclusion: CC is an efficacious and safe option for patients with AIS of the cervix provided the margin is negative.

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        Identification of miR-23a as a novel microRNA normalizer for relative quantification in human uterine cervical tissues

        Yuanming Shen,Xing Xie,Yang Li,Feng Ye,Fenfen Wang,Xiaoyun Wan,Weiguo Lu 생화학분자생물학회 2011 Experimental and molecular medicine Vol.43 No.6

        Quantitative real-time RT-PCR (RT-qPCR) is being widely used in microRNA expression research. However,few reports detailed a robust identification and validation strategy for suitable reference genes for normalisation in microRNA RT-qPCR studies. The aim of this study was to identify the most stable reference gene(s) for quantification of microRNA expression analysis in uterine cervical tissues. A microarray was performed on 6 pairs of uterine cervical tissues to identify the candidate reference genes. The stability of candidate reference genes was assessed by RT-qPCR in 23 pairs of uterine cervical tissues. The identified most stable reference genes were further validated in other cohort of 108 clinical uterine cervical samples:(HR-HPV- normal, n = 21; HR-HPV+ normal, n = 19; cervical intraepithelial neoplasia [CIN], n = 47; cancer, n = 21), and the effects of normalizers on the relative quantity of target miR-424 were assessed. In the array experiment, miR-26a, miR-23a, miR-200c, let-7a, and miR-1979 were identified as candidate reference genes for subsequent validation. MiR-23a was identified as the most reliable reference gene followed by miR-191. The use of miR-23a and miR-191 to normalize expression data enabled detection of a significant deregulation of miR-424 between normal, CIN and cancer tissue. Our results suggested that miR-23a and miR-191 are the optimal reference microRNAs that can be used for normalization in profiling studies of cervical tissues; miR-23a is a novel microRNA normalizer.

      • SCOPUSKCI등재

        Identification of miR-23a as a novel microRNA normalizer for relative quantification in human uterine cervical tissues

        Shen, Yuanming,Li, Yang,Ye, Feng,Wang, Fenfen,Wan, Xiaoyun,Lu, Weiguo,Xie, Xing Korean Society for Biochemistry and Molecular Bion 2011 Experimental and molecular medicine Vol.43 No.6

        Quantitative real-time RT-PCR (RT-qPCR) is being widely used in microRNA expression research. However, few reports detailed a robust identification and validation strategy for suitable reference genes for normalisation in microRNA RT-qPCR studies. The aim of this study was to identify the most stable reference gene(s) for quantification of microRNA expression analysis in uterine cervical tissues. A microarray was performed on 6 pairs of uterine cervical tissues to identify the candidate reference genes. The stability of candidate reference genes was assessed by RT-qPCR in 23 pairs of uterine cervical tissues. The identified most stable reference genes were further validated in other cohort of 108 clinical uterine cervical samples: (HR-HPV- normal, n = 21; HR-HPV+ normal, n = 19; cervical intraepithelial neoplasia [CIN], n = 47; cancer, n = 21), and the effects of normalizers on the relative quantity of target miR-424 were assessed. In the array experiment, miR-26a, miR-23a, miR-200c, let-7a, and miR-1979 were identified as candidate reference genes for subsequent validation. MiR-23a was identified as the most reliable reference gene followed by miR-191. The use of miR-23a and miR-191 to normalize expression data enabled detection of a significant deregulation of miR-424 between normal, CIN and cancer tissue. Our results suggested that miR-23a and miR-191 are the optimal reference microRNAs that can be used for normalization in profiling studies of cervical tissues; miR-23a is a novel microRNA normalizer.

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