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Biomarker for preoperative identification of benign and malignant thyroid nodules, kit and application thereof

A technology of biomarkers and thyroid nodules, applied in the field of molecular biomedicine, to avoid unnecessary treatment, avoid hematoma at the puncture site, and reduce mental burden

Active Publication Date: 2021-04-20
THE FIRST AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
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Problems solved by technology

However, the use of metabolomics technology in plasma samples to detect and analyze metabolic markers, preoperatively distinguish benign from malignant thyroid nodules, and achieve better diagnostic efficiency have not been reported.

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  • Biomarker for preoperative identification of benign and malignant thyroid nodules, kit and application thereof
  • Biomarker for preoperative identification of benign and malignant thyroid nodules, kit and application thereof
  • Biomarker for preoperative identification of benign and malignant thyroid nodules, kit and application thereof

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Embodiment Construction

[0020] The technical solutions of the present invention will be described in detail below in conjunction with the embodiments.

[0021] Differential diagnosis of benign and malignant nodules using a combination of circulating metabolic markers in plasma samples from patients with thyroid nodules:

[0022] 1. Plasma sampling

[0023] Patients with thyroid nodules who underwent thyroidectomy from January 2018 to December 2019 in the Breast Surgery Department of the First Affiliated Hospital of Sun Yat-sen University were selected. A total of 340 patients were enrolled, and the inclusion criteria: (1) Histopathological diagnosis of papillary thyroid carcinoma or benign thyroid nodules; (2) No other malignant tumors or serious immune, nervous, digestive or blood system diseases; (3) ) to obtain preoperative or postoperative blood samples. Exclusion criteria: (1) combined with other types of malignant tumors; (2) combined with severe immune, nervous, digestive, or blood system di...

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Abstract

The invention relates to a biomarker for preoperative identification of benign and malignant thyroid nodules, a kit and application thereof. The level of 17 metabolites in peripheral blood plasma of a thyroid nodule patient is detected through metabonomics analysis, and omics analysis and a machine learning method are combined to construct a diagnosis model and evaluate the thyroid cancer diagnosis efficiency by using a subject working curve (ROC). The area of the metabolic marker combination diagnosis model composed of the metabolites under the ROC curve in thyroid nodule diagnosis can reach 95.05%, the sensitivity and specificity are both higher than 88%, and the metabolite marker combination diagnosis model can be applied to identification of thyroid benign and malignant nodules.

Description

technical field [0001] The invention belongs to the technical field of molecular biomedicine, and in particular relates to a serological biomarker for preoperatively distinguishing benign and malignant thyroid nodules and the application of the kit thereof in the diagnosis of benign and malignant thyroid nodules. Background technique [0002] Thyroid nodules refer to one or more clumps with abnormal tissue structure caused by local abnormal proliferation of thyroid cells. In recent years, with the popularity of ultrasonography, the incidence of thyroid nodules has increased year by year, and the detection rate in the general population can be as high as 20%-76%. After the discovery of thyroid nodules, it is necessary to evaluate the benign and malignant nodules and their function in order to carry out reasonable treatment. Currently, there are two commonly used detection methods for nodules, ultrasonography and thyroid fine-needle aspiration biopsy (FNA). Ultrasound examin...

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Application Information

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IPC IPC(8): G01N30/02G01N30/06G01N30/72G01N30/88
Inventor 肖海鹏彭穗喻爽侯映彤李延兵
Owner THE FIRST AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
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