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所选生物标志物及其组合在卵巢癌诊断中的敏感性和特异性。

Sensitivity and Specificity of Selected Biomarkers and Their Combinations in the Diagnosis of Ovarian Cancer.

作者信息

Englisz Aleksandra, Smycz-Kubańska Marta, Mielczarek-Palacz Aleksandra

机构信息

The Doctoral School, Medical University of Silesia, 40-055 Katowice, Poland.

Department of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland.

出版信息

Diagnostics (Basel). 2024 Apr 30;14(9):949. doi: 10.3390/diagnostics14090949.

Abstract

One of the greatest challenges in modern gynecological oncology is ovarian cancer. Despite the numerous studies currently being conducted, it is still sometimes detected at late clinical stages, where the prognosis is unfavorable. One significant contributing factor is the absence of sensitive and specific parameters that could aid in early diagnosis. An ideal screening test, in view of the low incidence of ovarian cancer, should have a sensitivity of greater than 75% and a specificity of at least 99.6%. To enhance sensitivity and specificity, diagnostic panels are being created by combining individual markers. The drive to develop better screening tests for ovarian cancer focuses on modern diagnostic methods based on molecular testing, which in turn aims to find increasingly effective biomarkers. Currently, researchers' efforts are focused on the search for a complementary parameter to those most commonly used that would satisfactorily enhance the sensitivity and specificity of assays. Several biomarkers, including microRNA molecules, autoantibodies, cDNA, adipocytokines, and galectins, are currently being investigated by researchers. This article reviews recent studies comparing the sensitivity and specificity of selected parameters used alone and in combination to increase detection of ovarian cancer at an early stage.

摘要

现代妇科肿瘤学面临的最大挑战之一是卵巢癌。尽管目前正在进行大量研究,但它有时仍在临床晚期被发现,此时预后不佳。一个重要的促成因素是缺乏有助于早期诊断的敏感和特异参数。鉴于卵巢癌的低发病率,理想的筛查测试应具有大于75%的灵敏度和至少99.6%的特异度。为提高灵敏度和特异度,正在通过组合单个标志物来创建诊断面板。开发更好的卵巢癌筛查测试的动力集中在基于分子检测的现代诊断方法上,而这反过来又旨在找到越来越有效的生物标志物。目前,研究人员的努力集中在寻找一种补充参数,以补充那些最常用的参数,从而令人满意地提高检测的灵敏度和特异度。研究人员目前正在研究几种生物标志物,包括微小RNA分子、自身抗体、互补DNA、脂肪细胞因子和半乳糖凝集素。本文综述了最近的研究,这些研究比较了单独使用和组合使用选定参数的灵敏度和特异度,以提高卵巢癌的早期检测率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57a1/11083226/2afa2546d3cc/diagnostics-14-00949-g001.jpg

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