Saliva proteome decision-making tree diagnosis model for screening thyroid cancer, and construction method of tree

Abstract

The invention discloses a saliva proteome decision-making tree diagnosis model for screening thyroid cancer, and a construction method of the tree. The construction method comprises the following steps: collecting the saliva of patients with a thyroid cancer, patients with benign nodular goiter, and healthy people, standing, carrying out centrifugal treatment and the like, and combining with an NP20 chip; detecting the chip by adopting a PBS type-II protein chip reader, and automatically acquiring data by adopting Proteinchip Software 3.2.1 analysis software; carrying out bioinformatics statistic analysis; and building the diagnosis model by comparing saliva differential protein between a thyroid cancer group and a healthy control group, which is composed of four protein peaks with mass-to-charge ratios (M / Z) of 3491.10, 3642.28, 4315.10 and 7424.63 in a saliva protein mass spectrum, and by comparing saliva differential protein between a thyroid cancer group and a benign nodular goiter group, which is composed of four protein peaks with mass-to-charge ratios (M / Z) of 2587.38, 3346.06, 3584.20 and 8054.57 in the saliva protein mass spectrum. The construction method disclosed by the invention is simple, non-invasive, high in operability, high in specificity and high in sensibility; the diagnosis model provides a specific marker for early diagnosis and qualitative diagnosis levels for the thyroid cancer.

Description

technical field [0001] The invention belongs to the technical field of proteomics detection, and in particular relates to a salivary proteome decision tree diagnostic model and a construction method for screening thyroid cancer. Background technique [0002] Thyroid cancer has now become one of the most common malignant tumors, and it is also the most common malignant tumor in the endocrine system, accounting for 91.5% of endocrine system tumors. At present, preoperative diagnosis of thyroid cancer mainly relies on B-ultrasound, CT, MRI, radionuclide scanning, and fine-needle aspiration cytology. In my country, whether thyroid cancer can be diagnosed before surgery has been controversial for a long time. Due to the high incidence of thyroid nodules, any thyroid disease can manifest as thyroid nodules, and the auxiliary examination methods for thyroid cancer are not specific for the diagnosis of thyroid cancer. The preoperative misdiagnosis rate of thyroid cancer is as high ...

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Problems solved by technology

[0003] The purpose of the embodiments of the present invention is to provide a saliva proteome decision tree diagnostic model and construction method for screening thyroid cancer, aiming to solve the problem of the inability to establish a diagnostic model in the existing thyroid cancer diagnosis methods, and provide a pass for the early diagnosis of thyroid cancer. The question of reference

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