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Diagnostic marker, kit and screening method for esophageal cancer diagnosis and construction method of esophageal cancer diagnosis model

A diagnostic marker, esophageal cancer technology, applied in the field of esophageal cancer diagnostic model construction, can solve the lack of non-invasive early screening methods and other problems, achieve good clinical use and promotion value, good effect, and high sensitivity

Pending Publication Date: 2020-12-29
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is still a lack of non-invasive and efficient early screening methods for esophageal cancer. When patients actively seek medical treatment due to symptoms, the disease usually has advanced to the middle and late stages. Therefore, the development of a simple and convenient new diagnostic method for esophageal cancer will greatly promote the early diagnosis of esophageal cancer. Early treatment, improvement of curative effect and prognosis of patients have great clinical significance and socio-economic significance

Method used

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  • Diagnostic marker, kit and screening method for esophageal cancer diagnosis and construction method of esophageal cancer diagnosis model
  • Diagnostic marker, kit and screening method for esophageal cancer diagnosis and construction method of esophageal cancer diagnosis model
  • Diagnostic marker, kit and screening method for esophageal cancer diagnosis and construction method of esophageal cancer diagnosis model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] Screening of diagnostic markers for esophageal cancer

[0079] 1. Research object

[0080] A total of 75 serum samples from patients with esophageal cancer and 75 healthy controls with normal physical examination were included in this study. Among them, the diagnostic standard of esophageal cancer is confirmed by pathology after surgery. The basic information of these research subjects can be seen in Table 1.

[0081] Table 1. Baseline and pathological characteristics of esophageal cancer patients studied by non-targeted metabolomics

[0082] Healthy control (n=75) Esophageal cancer (n=75) age mean (standard deviation) 42.41(12.34) 62.09(10.96) gender Male, number of cases (%) 46(61％) 66(88％) Female, number of cases (%) 29(39％) 9(12％)

[0083] 2. Non-targeted metabolomics analysis of serum using liquid chromatography-mass spectrometry

[0084] All serum samples were centrifuged and stored in a -80°C refrigerator. Serum...

Embodiment 2

[0121] Construction of a diagnostic model of esophageal cancer using 22 serum metabolic markers

[0122] 1. Research object

[0123] A total of 98 serum samples from patients with esophageal cancer and 98 healthy controls with normal physical examination were included in this study. Among them, 75 patients with esophageal cancer and 75 healthy controls used in the training set were the same samples as the feature screening samples (150 cases), and 23 patients with esophageal cancer and 23 healthy controls used in the test set came from asynchronous samples from the same hospital. . Among them, the diagnostic standard of esophageal cancer is the diagnosis of esophageal cancer by postoperative pathology. The basic information of the newly added research objects in the test set is shown in Table 4.

[0124] Table 4. Baseline characteristics of the subjects in the test set in the targeted metabolomics study for the diagnosis of esophageal cancer

[0125] Training...

Embodiment 3

[0155] Construction of a diagnostic model of esophageal cancer using 10 serum metabolic markers

[0156] The research objects and detection and analysis methods of this embodiment are the same as those of Example 2, except that 10 serum metabolic markers (including lysophosphatidylcholine LPC 18:2, phosphatidylcholine PC 16:0-16:0, Phosphatidylcholine PC 16:0-18:1, Phosphatidylcholine PC 16:0-20:3, Phosphatidylcholine PC 18:2-18:2, Phosphatidylcholine Choline PC 18:0-20:4, Phosphatidylcholine PC 16:0-22:6, Sphingomyelin SM d18:1 / 16:0, Sphingomyelin SM d18:2 / 24:0, Phosphatidylethanolamine PE 16:1e / 20:4) two-dimensional matrix data for machine learning and modeling, the sensitivity, specificity, accuracy and AUC values ​​of the obtained model are shown in Table 6. Image 6 It is the ROC curve of the esophageal cancer diagnostic model constructed using 10 serum metabolic markers, where A is the training set and B is the test set. It can be seen that the constructed diagnostic m...

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Abstract

The invention relates to a diagnostic marker, a kit and a screening method for esophageal cancer diagnosis and a construction method of an esophageal cancer diagnosis model, and belongs to the technical field of clinical examination and diagnosis. The diagnostic marker provided by the invention comprises any one or more of 44 serum metabolic markers. The diagnostic marker has good sensitivity andspecificity for esophageal cancer, can be used for esophageal cancer diagnosis (including early diagnosis), and has important significance for improving prognosis of esophageal cancer and increasing the survival rate of esophageal cancer patients.

Description

technical field [0001] The invention relates to the technical field of clinical examination and diagnosis, in particular to a diagnostic marker, a kit, a screening method and a method for constructing a diagnostic model of esophageal cancer based on screening and identification of metabolomics and artificial intelligence analysis technology. Background technique [0002] Esophageal cancer is one of the top ten malignant tumors with the highest morbidity and mortality. According to the national cancer statistics released by the National Cancer Center of China in February 2018, the incidence of esophageal cancer has decreased in recent years, ranking sixth among all malignant tumors, and its mortality rate still ranks fourth. Esophageal cancer is a major malignant tumor that threatens the health of Chinese residents for a long time. In terms of histological types, squamous cell carcinoma is the main type of esophageal cancer in my country, accounting for more than 90%, while ...

Claims

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Application Information

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IPC IPC(8): G16B40/20G16B50/00G16H50/20G01N30/86
CPCG16B40/20G16B50/00G16H50/20G01N30/8686
Inventor 尹玉新袁宇瑶
Owner PEKING UNIV
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