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Colon cancer diagnostic markers and their application

A technology for diagnosing markers and colon cancer, applied in the fields of instruments, measuring devices, scientific instruments, etc., can solve the problems of high difficulty in sample acquisition, inappropriate early screening of diseases, etc., achieve good clinical application value, improve detection convenience, The effect of good sensitivity and specificity

Active Publication Date: 2022-03-25
CHINA PHARM UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, most metabolomics research samples are serum or tissue sample level tests, which are difficult to obtain and are not suitable for early screening of diseases

Method used

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  • Colon cancer diagnostic markers and their application
  • Colon cancer diagnostic markers and their application
  • Colon cancer diagnostic markers and their application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Screening of differential metabolites in urine between colon cancer patients and healthy individuals

[0025] 1. Collection and grouping of urine samples:

[0026] According to the pre-experimental design, the Biomedical Engineering Laboratory of China Pharmaceutical University collected urine samples from 32 patients with colon cancer and 58 healthy people. Volunteers gave informed consent and informed. Collect 10 mL of mid-morning urine from volunteers and immediately aliquot (0.5 mL per tube) and store them in a -80°C refrigerator.

[0027] 2. Main reagents and instruments

[0028] Chromatographic pure reagents acetonitrile, formic acid and methanol were purchased from Merck, Germany, pseudouridine, N 2 ,N 2 -Dimethylguanosine, kynurenine, valine, N-acetyl-L-valine, N-acetyl-L-glutamic acid, 5-hydroxytryptophan, α,β- Didehydrotryptophan, hippuric acid, aspartyl-phenylalanine, taurine, pantothenic acid, 2,3 pyridinedicarboxylic acid, 4-pyridoxine, L-carnitine, xa...

Embodiment 2

[0052] Construction of ROC curves to compare the ability of 16 markers to distinguish colon cancer patients from healthy individuals

[0053] SPSS software was used for binary logistic regression, the level of each metabolic marker was set as a covariate, the group was set as a dependent variable, and the regression method was direct entry. After all variables were introduced into the regression model, the regression equation of the optimal logistic prediction model for disease occurrence was obtained according to the regression coefficient (B). After the P value of the tumor occurrence probability of each test sample was obtained by the logistic regression formula, the receiver operating characteristic analysis of the probability P value was continued. Different values ​​in the range of 0-1 were selected as the critical P value, and the P value calculated from the above-mentioned sample was compared with the critical P value, and the predictive sensitivity and specificity for...

Embodiment 3

[0062] Application of 16 markers in colon cancer screening

[0063] In addition, the urine samples of 20 patients diagnosed with colon cancer and 20 normal people were selected, and the samples were prepared according to the method described in Example 1, and the metabolites in the urine samples were qualitatively analyzed by LC-MC. Quantitative determination. In this example, 16 marker combinations with the best diagnostic efficacy were selected. The quantitative data of 16 markers are brought into the regression equation of the logistic prediction optimal model obtained in Example 2, and the negative and positive of the sample are judged according to the calculated Logit (P) value and the cut-off value. ) value is higher than the cut-off value, it is judged as positive (colon cancer), otherwise, it is judged as negative (normal). The diagnostic results of a total of 40 samples are shown in Table 3.

[0064] Table 3 The results of the combination of 16 markers for the diag...

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Abstract

The invention discloses a colon cancer diagnostic marker and its application. The colon cancer diagnostic marker is a urine metabolite, including pseudouridine, N 2 ,N 2 ‑Dimethylguanosine, Kynurenine, Valine, N‑Acetyl‑L‑Valine, N‑Acetyl‑L‑Glutamate, 5‑Hydroxytryptophan, α,β‑ At least one of didehydrotryptophan, hippuric acid, aspartyl-phenylalanine, taurine, pantothenic acid, 2,3-pyridinedicarboxylic acid, 4-pyridoxic acid, L-carnitine, xanthine , based on the markers, the present invention also provides a colon cancer detection kit, which can effectively distinguish colon cancer patients from healthy people, with high accuracy, strong sensitivity and specificity. The sample selected in the present invention is a urine sample, preferably the middle part of fasting morning urine, which avoids the use of invasive samples such as tissue and blood, and has high patient compliance and clinical application value.

Description

technical field [0001] The invention belongs to the technical field of biological detection, in particular to a colon cancer diagnostic marker and its application. Background technique [0002] Colon cancer is a common malignant tumor of the digestive tract. It occurs at the junction of the rectum and the sigmoid colon, with the highest incidence in the 40-50 age group. It is the most common malignant tumor in developed countries such as Western Europe and North America. It is also the nine most common malignant tumors in my country. One of the malignant tumors. In the past 30 years, the incidence of colon cancer in my country has been on the rise. The incidence of colon cancer has a certain relationship with social environment, lifestyle, especially high-fat and low-fiber diet, lack of physical activity and so on. During the occurrence and development of colon cancer, tumor cells proliferate indefinitely, and by changing the normal metabolism of the body, a large amount of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/574G01N30/02
Inventor 顾月清李萍韩武娟吕丽伟
Owner CHINA PHARM UNIV
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