Publications by authors named "Shengbin Liao"

In the endometrium of women with recurrent implantation failure and unexplained recurrent miscarriage, the expression levels of homeobox A10 and E-cadherin were positively correlated. To explore whether homeobox A10 regulates E-cadherin during endometrial receptivity establishment, Ishikawa and RL95-2 cells were transfected with target-specific small interfering RNA (siRNA) and overexpression plasmid of homeobox A10. The expression levels of homeobox A10 and E-cadherin were measured by western blot and quantitative Real-time Polymerase Chain Reaction (qRT-PCR).

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Aims: Blastocyst implantation is mainly depended on the adhesion between cells and cell matrix. Endometrial adhesion plays an important role in establishing embryo implantation, but the underlying mechanisms are remains unclear. Talin1 is a local adhesion complex protein that is necessary for cell adhesion and movement.

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Background: Polymorphisms (rs1801133 or C677T; rs1801131 or A1298C) of the MTHFR gene and rs1801394 (A66G) of the MTRR gene are important genetic determinants of folate metabolism. A convenient, sensitive, and reliable method is required to detect polymorphisms for the precise supplementation of folate.

Methods: A rapid detection method based on molecular beacon probes that can detect rs1801133, rs1801131, and rs1801394 simultaneously was developed in this study.

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Objective: The aim of this study is to establish a noninvasive preoperative model for predicting primary optimal cytoreduction in advanced epithelial ovarian cancer by HE4 and CA125 combined with clinicopathological parameters.

Methods: Clinical data including preoperative serum HE4 and CA125 level of 83 patients with advanced epithelial ovarian cancer were collected. The sensitivity, specificity, positive predictive value, negative predictive value and overall accuracy of each clinical parameter were calculated.

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Background: Endometrial cancer is a type of malignant tumor of the female reproductive system. Preserving fertility in endometrial cancer patients is currently a formidable challenge. Interleukin-24 (IL-24) is a unique cytokine tumor suppressor gene belonging to the IL-10 cytokine family.

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Objective: To compare the efficacy and safety between laparoscopy and local injection with absolute ethanol (AE) for treating tubal ectopic pregnancy (EP).

Study Design: Retrospective cohort study of ectopic pregnancies in the fallopian tube from two tertiary hospitals between January 2015 and December 2017. Clinical information such as presenting symptoms, reproductive history, possible risk factors, initial diagnosis, serum beta-human chor-ionic gonadotropin (β-HCG) level, transvaginal ultrasonography findings, methods of treatment and outcomes were reviewed and analyzed.

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Classical network utility maximization (NUM) models fail to capture network dynamics, which are of increasing importance for modeling network behaviors. In this paper, we consider the NUM with delivery contracts, which are constraints to the classical model to describe network dynamics. This paper investigates a method to distributively solve the given problem.

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Peripheral blood mononuclear cells (PBMCs) are rich in hematopoietic cells and mesenchymal stem cells. Platelet-rich plasma (PRP) is rich in various growth factors. PBMCs and PRP have been suggested, individually, to restore ovarian function by improving the local microenvironment.

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Background: Whether there is a mechanistic link between FOLR1 and response to cisplatin has not been extensively examined. In this study, we determine the expression of FOLR1 in ovarian cancer and examine if FOLR1 levels influence response to cisplatin.

Results: (1) FOLR1 protein expression was lowest in normal ovarian tissue, higher in benign ovarian tumors, and highest in malignant tumors (P < 0.

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In this paper, we proposed a generative model for feature selection under the unsupervised learning context. The model assumes that data are independently and identically sampled from a finite mixture of Student's distributions, which can reduce the sensitiveness to outliers. Latent random variables that represent the features' salience are included in the model for the indication of the relevance of features.

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