■MLH1,MMR蛋白之一,与DNA复制有关,它的作用是修复不正确的DNA序列并用正确的DNA序列替换它们。MLH1基因表达的丧失是Lynch综合征的一部分,可导致一系列癌症,如结直肠癌和子宫内膜癌。本文的目的是将四种不同生物体液中MLH1的水平与结直肠癌患者的临床病理特征相关联,以便以高概率预测它们。因此,已经提出了一个在Matlab中具有给定代码的数学模型,通过仅引入MLH1浓度值来获得高概率的临床病理特征。所有这些数据甚至可以在手术之前在很短的时间内获得,这对外科医生和肿瘤学家非常有帮助。
■四种类型的样本(全血,唾液,尿液和组织)使用随机微传感器进行分析;确定MLH1的浓度,并与不同的宏观和微观病理特征进行比较,以获得早期的数学模型,结直肠腺癌的非侵入性诊断。
■已经建立了肿瘤定位的标准和数学模型,TNM分级系统,肿瘤的深度,淋巴管,血管和神经周围的侵袭和肿瘤中粘液的存在。
■使用全血,唾液和尿液样本,位置可以近似。所提出的数学模型旨在允许肿瘤及其位置的最小/非侵入性表征,这可以帮助外科医生和肿瘤学家更快地选择个性化治疗。
UNASSIGNED: MLH1, one of the MMR proteins, is linked to DNA replication, its role being to repair the incorrect DNA sequences and to replace them with proper ones. The loss of the
MLH1 gene expression is part of Lynch syndrome which can lead to a series of cancers like colorectal and endometrial ones. The aim of this paper is to correlate the levels of
MLH1 in four different bio-logical fluids with clinicopathological features in colorectal cancer patients in order to predict them with high probability. Therefore, a mathematical model with given code in Matlab has been proposed to get the clinicopathological features with high probability by only introducing the values for
MLH1 concentrations. All these data can be obtained in a very short time even before surgery which can be very helpful the surgeon and the oncologist.
UNASSIGNED: Four types of samples (whole blood, saliva, urine and tissue) were analyzed using stochastic microsensors; concentrations of
MLH1 were determined and compared with different macroscopic and micro-scopic pathological features to obtain mathematical models for early, non-invasive diagnostic of colorectal adenocarcinoma.
UNASSIGNED: There have been established criteria and mathematical models for tumor location, TNM grading system, depth of the tumor, lymphatic, vascular and perineural invasions and the presence of mucus in the tumoral mass.
UNASSIGNED: By using whole blood, saliva and urine samples, the location can be approximated. The proposed mathematical models aimed to allow a minim/noninvasive characterization of the tumor and its location which can help the surgeon and the oncologist to choose faster the personalized treatment.