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Marker for thyroid cancer diagnosis, stratification and prognosis and application thereof

一种甲状腺癌、标志物的技术，应用在医学检测领域，能够解决假阴性高、敏感性低、延长手术时间等问题，达到准确度高、检测便捷、灵敏度高的效果

Pending Publication Date: 2022-05-13
PEKING UNION MEDICAL COLLEGE HOSPITAL CHINESE ACAD OF MEDICAL SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the clinical diagnosis of cervical lymph node metastases is not accurate: preoperative ultrasound has high specificity for judging cervical lymph node metastases, but its sensitivity is low; intraoperative frozen pathology can also give clinical hints, but its false The negative rate is high, and the incidence of lymph node metastases confirmed by paraffin pathology is as high as 30% for patients who are evaluated as negative for cervical lymph node metastases before operation. Waiting for intraoperative pathology also inevitably prolongs the operation time
Due to the presence of occult metastasis in many patients and the limitations of the above-mentioned technical means, it is difficult to accurately determine whether a patient has lymph node metastasis before surgery
Whether routine preventive neck dissection is also controversial for PTC

Method used

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  • Marker for thyroid cancer diagnosis, stratification and prognosis and application thereof
  • Marker for thyroid cancer diagnosis, stratification and prognosis and application thereof
  • Marker for thyroid cancer diagnosis, stratification and prognosis and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] Example 1 Markers are used to distinguish between healthy controls and thyroid nodules (benign nodules+malignant nodules)

[0079] 96 sugar chain structures were detected in the thyroid cancer research cohort (including thyroid cancer, benign thyroid nodules, and healthy controls, Table 3), and 91 sugar chain structures were calculated based on the structural characteristics and biological synthesis pathways of these directly detected sugar chains. The characteristics of a derived sugar chain. Since the derived feature summary represents the structural features of the directly detected glycans and helps to interpret the results and biological effects, the derived glycan features were mainly analyzed.

[0080] Of the 91 derived sugar chain signatures found above, 23 derived sugar chain signatures had significant differences between healthy controls and thyroid nodules (Table 4). The results showed that, compared with healthy controls, tetraantennary complex (CA4), fucos...

Embodiment 2

[0086] Example 2 Markers are used to distinguish malignant thyroid nodules (thyroid cancer) from benign thyroid nodules

[0087] 96 sugar chain structures were detected in the thyroid cancer research cohort (including thyroid cancer, benign thyroid nodules, and healthy controls, Table 3), and 91 sugar chain structures were calculated based on the structural characteristics and biological synthesis pathways of these directly detected sugar chains. The characteristics of a derived sugar chain. Since the derived feature summary represents the structural features of the directly detected glycans and helps to interpret the results and biological effects, the derived glycan features were mainly analyzed.

[0088] Among the 91 kinds of derived sugar chain characteristics found above, there are 4 kinds of derived sugar chain characteristics, that is, the median values ​​of CFa, A2Fa, A2L, and A2GL showed continuous changes in malignant thyroid nodules, benign nodules and healthy contr...

Embodiment 3

[0091] Example 3 Markers are used to distinguish thyroid cancer from non-cancerous controls (benign nodules+healthy controls)

[0092]The analysis method is the same as that in Example 2. The median values ​​of the four derived sugar chain features, CFa, A2Fa, A2L, and A2GL, are significantly different between thyroid cancer and non-cancer controls (benign nodules + healthy controls) (t test, p Figure 5 , Table 6), proving that the body fluid glycogen index CFa, A2Fa, A2L, A2GL can distinguish thyroid cancer and non-cancer controls with high accuracy. When the four sugar chain features are used in combination, the discrimination accuracy is improved (Table 6).

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Abstract

The invention relates to the technical field of medical detection, in particular to a marker for thyroid cancer diagnosis, stratification and prognosis and application of the marker. The invention provides a marker for cervical lymph node metastasis of thyroid cancer. The marker comprises N-carbohydrate chain markers A2LF, A3F0L, A2F0L and A2F0GL. The expression quantity of the N-carbohydrate chain marker provided by the invention has obvious difference between a thyroid cancer patient with neck lymph node metastasis and a thyroid cancer patient without neck lymph node metastasis, can be used for judging the neck lymph node metastasis of the thyroid cancer, and has relatively high specificity, sensitivity and accuracy.

Description

technical field [0001] The present invention is a divisional application of a patent application with application number 2021105062593 and titled "Markers for Diagnosis, Stratification and Prognosis of Thyroid Cancer and Its Application". The invention relates to the technical field of medical detection, in particular to markers for diagnosis, stratification and prognosis of thyroid cancer and applications thereof. Background technique [0002] Thyroid cancer (TC) is the most common malignancy of the endocrine system. In recent years, its incidence has increased significantly. Thyroid cancer is mainly divided into four pathological types, and more than 90% of thyroid malignancies are papillary thyroid carcinoma (PTC). Epidemiological studies have shown that the palpation rate of thyroid nodules is about 5% in women and 1% in men. About 5-15% of the nodules will develop malignant lesions, which require timely surgery or other treatment, and the rest of the benign nodules n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/574G01N30/02G01N30/06G01N30/08G01N30/72A61B8/08
CPCG01N30/02G01N30/06G01N30/7233G01N33/57488G01N30/08A61B8/08G01N2030/067G01N2030/085
Inventor 张泽建徐协群
Owner PEKING UNION MEDICAL COLLEGE HOSPITAL CHINESE ACAD OF MEDICAL SCI
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