Background: The aim of the present study was to investigate whether changes in the tissue expression of human epididymis-specific protein 4 (HE4) could predict therapy resistance and relapse after progestin hormone therapy for medium- and low-risk endometrial hyperplasia.
Methods: Endometrial biopsies were obtained from women participating in a multicentre RCT performed according to the CONSORT guidelines; the women were randomly assigned to either LNG-IUS; 10 mg of oral medroxyprogesterone acetate (MPA) administered for 10 days per cycle; or 10 mg of oral MPA administered daily for 6 months. Of the 153 women who completed therapy, 141 had adequate material for immunohistochemistry in pre- and post-treatment biopsies. An antibody to HE4 (clone 12A2 monoclonal IgG1 antibody, Fujirebio Diagnostics, Inc.) was used for the immunohistochemical staining of the pre- and post-treatment biopsies from each participant. The expression of HE4 staining was evaluated by the histological score (H-score) using light microscopy.
Results: Changes in the expression of HE4 (H-score) during therapy were related to the therapy group (P<0.001) and therapy response (P<0.001) of the individuals but could not predict relapse (P>0.05). Changes in the intracellular bodies were shown to predict both the therapy response (P=0.038) and relapse (P=0.014).
Conclusions: Changes in the expression of HE4 during progestin therapy regimens can predict therapy response or indicate progestin resistance for medium- and low-risk endometrial hyperplasia.
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http://dx.doi.org/10.1038/bjc.2016.247 | DOI Listing |
Adv Sci (Weinh)
December 2024
Graduate School of Biomedical Engineering, Faculty of Engineering, and Tyree Institute of Health Engineering (IHealthE), UNSW Sydney, Kensington Campus, Sydney, NSW, 2052, Australia.
Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow can lead to severe complications and increased mortality. Conditions like decompensated heart failure (HF) and cardiogenic shock require rapid and effective hemodynamic support. Current mechanical assistive devices, such as intra-aortic balloon pumps (IABP) and extracorporeal membrane oxygenation (ECMO), offer temporary stabilization but are limited to short-term use due to risks associated with prolonged blood contact.
View Article and Find Full Text PDFZhongguo Dang Dai Er Ke Za Zhi
December 2024
Department of Endocrine Genetics and Metabolism, National Children's Regional Medical Center/Xi'an Children's Hospital, Xi'an 710003, China.
Objectives: To establish an efficient and clinically applicable predictive model and scoring system for central precocious puberty (CPP) in girls, and to develop a diagnostic prediction application.
Methods: A total of 342 girls aged 4 to 9 years with precocious puberty were included, comprising 216 cases of CPP and 126 cases of isolated premature thelarche. Lasso regression was used to screen for predictive factors, and logistic regression was employed to establish the predictive model.
J Family Med Prim Care
November 2024
Associate Professor, Department of Community Medicine, Andhra Medical College, Visakhapatnam, Andhra Pradesh, India.
Background: The Indian Diabetes Risk Score (IDRS) is a simple and cost-effective tool for the early detection of undiagnosed cases in the community and is most suited for the Indian population to assess the risk of developing diabetes.
Aim And Objectives: To assess the risk of Type 2 Diabetes Mellitus among the adult population living in an urban area by using the Indian Diabetes Risk Score (IDRS). To determine associated risk factors among the study population.
BMC Cancer
December 2024
Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background And Aims: Hepatocellular carcinoma (HCC) exhibits a propensity for early recurrence following liver resection, resulting in a bleak prognosis. At present, majority of the predictive models for the early postoperative recurrence of HCC rely on the linear assumption of the Cox Proportional Hazard (CPH) model. However, the predictive efficacy of this model is constrained by the intricate nature of clinical data.
View Article and Find Full Text PDFAccid Anal Prev
December 2024
Nanjing Hurys Intelligence Technology Co., LTD, Nanjing 210000, China.
To deepen the understanding of the impact of car-following driving style (CFDS) on traffic conflict risk and address the lack of clear CFDS evaluation metrics, this study proposes an improved CFDS metric based on the Asymmetric Behavior (AB) theory. Interpretable machine learning models were utilized for regression analysis to examine the relationship between CFDS and conflict risk. The generalized AB model calculates the difference between vehicle trajectories and the Newell trajectory, constructing the driving style evaluation metric, which quantifies driver aggressiveness in a manner that is both computationally straightforward and easily interpretable.
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