基于随机传感器测定的Maspin、MLH1、PMS2和K-Ras浓度对胃癌和结直肠癌的鉴别

IF 0.9 Q4 GASTROENTEROLOGY & HEPATOLOGY
Alexandru Adrian Bratei, Raluca-Ioana Stefan-van Staden
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引用次数: 0

摘要

背景:胃肠道腺癌是世界范围内最重要的癌症死亡原因之一。MLH1、PMS2和K-Ras是控制细胞增殖的主要分子。它们被广泛用作评估肿瘤过程特征和临床病理特征的生物标志物。它们取决于肿瘤过程中隐含的细胞类型,并且可以在不同生物液体中观察到它们的浓度。Maspin,也被称为肽酶抑制剂5或serpin B5,是一种肿瘤抑制因子,可以抑制侵袭和血管生成,也可以调节细胞凋亡,但它也可以根据肿瘤的位置和组织学以及亚细胞Maspin的定位呈现致癌活性。它与胃癌和结直肠癌的相关性已在一系列文章中得到强调,在这项工作中,使用一种方法来量化三种生物体液中的masmasin浓度,从而与病理特征相关联。方法:从GRAPHSENSGASTROINTES项目数据库中选择符合其临床和病理特征的患者,并根据塔尔古-穆列什县急诊医院授予的伦理委员会第32647/2018号批准使用。三种样本(唾液,全血和尿液)分析使用随机方法使用随机微传感器。结果:随机传感器获得的结果与癌变部位相关,并阐述了一系列胃癌与结直肠癌的鉴别标准。结论:唾液和尿液样本中MLH1、PMS2和K-Ras的浓度或全血和尿液或全血、尿液和唾液中maspin的水平可以区分两种类型的癌症。数据分析产生了一系列评估癌症位置的标准。仅使用两种样品中的一种的MLH1和PMS2浓度只是指示性的,并不能涵盖大多数病例。仅对MLH1和PMS2使用标准增加了找到位置的概率,但最好的结果需要两种样品中K-Ras的浓度作为附加标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differentiation between Gastric and Colorectal Adenocarcinomas Based on Maspin, MLH1, PMS2 and K-Ras Concentrations Determined Using Stochastic Sensors
Background: Gastrointestinal adenocarcinomas are a worldwide and some of the most important causes of death related to cancers. MLH1, PMS2, and K-Ras are some of the main molecules responsible for the control of cellular proliferation. They are widely used as biomarkers for the evaluation of the features of tumoral processes and the clinicopathological characteristics. They depend on the type of cells implied in the tumoral process, and it can be observed in the concentrations of them in different biological fluids. Maspin, also known as peptidase inhibitor 5 or serpin B5 is a tumor suppressor which inhibits invasion and angiogenesis and also regulates apoptosis, but it can also present oncogenic activity depending on tumor location and histology and on the subcellular maspin localization. Its correlations with gastric and colorectal carcinomas have been emphasized in a series of articles, and in this work, a method is used to quantify the concentrations of maspin in three biological fluids, allowing correlations with pathological features. Methods: Patients with their clinical and pathological features were selected from the database of the project GRAPHSENSGASTROINTES and used accordingly with the Ethics committee approval nr. 32647/2018 awarded by the County Emergency Hospital from Targu-Mures. Three kinds of samples have been analyzed (saliva, whole blood, and urine) using a stochastic method using stochastic microsensors. Results: The results obtained using stochastic sensors were correlated with the location of cancer, and there have been elaborated a series of criteria to differentiate gastric cancers from colorectal ones. Conclusions: There can be differentiation between the two types of cancers by using the concentrations of MLH1, PMS2, and K-Ras in saliva and urine samples or the levels of maspin in whole blood and urine or in whole blood, urine, and saliva. The data analysis led to a series of criteria for evaluation of the cancer location. Using only MLH1 and PMS2 concentrations in one of the two kinds of samples was only indicative and did not cover most cases. The use of the criteria only for MLH1 and PMS2 increased the probability of finding out the location, but the best results require the concentrations of K-Ras in the two kinds of samples as additional criteria.
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