Application of Amino Acid Combined Factors in Constructing Hematological Diagnosis Model of Colorectal Cancer

A diagnostic model and technology for colorectal cancer, applied in the field of hematological diagnosis of malignant tumors, can solve the problems of unseen amino acids and their combined factors colorectal cancer diagnostic/assistant diagnostic markers, etc., and achieve good auxiliary diagnostic value and strong specificity. , good patient compliance

Active Publication Date: 2021-08-10
SECOND AFFILIATED HOSPITAL SECOND MILITARY MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] At present, no scientific researchers have conducted detailed research on this, and there are no relevant reports

Method used

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  • Application of Amino Acid Combined Factors in Constructing Hematological Diagnosis Model of Colorectal Cancer
  • Application of Amino Acid Combined Factors in Constructing Hematological Diagnosis Model of Colorectal Cancer
  • Application of Amino Acid Combined Factors in Constructing Hematological Diagnosis Model of Colorectal Cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] Example 1: Establishment of a liquid phase-tandem mass spectrometry detection method for simultaneous detection of 32 kinds of amino acids in human plasma

[0057] 1. Purpose

[0058] Gly, Ala, Val, Lys, Leu, Ile, Gln, Glu, Met, His, Phe, Arg, Tyr, Trp, Ser, Pro, Thr, Opr, Asn, Orn, Cit, Cyss, Cys, Hpr, Asp , ADMA, SDMA, Kyn, Apa, Sar, Amp, and Hia were used as the substances to be tested, and a liquid phase-tandem mass spectrometry detection method for 32 amino acids in human plasma was established.

[0059] 2 Experimental instruments and materials

[0060] 2.1 Instrument

[0061] Agilent 6460 triple quadrupole tandem mass spectrometer system; Agilent 1290 ultra-high performance liquid chromatography system, including G4220A binary pump, G1969-80230 vacuum degasser, G4226A automatic sampler, G1316C column thermostat; Agilent Mass Hunter data processing workstation and Agilent Qualitative Analysis B.07.00Tools software are all products of Agilent, USA. Micro electro...

Embodiment 2

[0189] Embodiment 2: the content determination of 32 kinds of amino acids in human plasma

[0190] 1. Purpose

[0191] The plasma content of 32 amino acids in patients with colorectal cancer, healthy volunteers, and patients with colorectal precancerous lesions (precancerosis, PC) was determined by liquid chromatography-tandem mass spectrometry.

[0192] The experiment was approved by the Biomedical Ethics Committee of Changzheng Hospital Affiliated to Naval Military Medical University.

[0193] 2 Experimental instruments and materials

[0194] 2.1 Instrument

[0195] Same as "Example 1 2.1 Instrument".

[0196] 2.2 Reagents and consumables

[0197] Same as "Example 1 2.2 Reagents and consumables".

[0198] 2.3 Amino acid reference substance

[0199] Same as "Example 1 2.3 Amino Acid Reference Substance".

[0200] 2.4 Collection of plasma samples from subjects

[0201] 2.4.1 Collection of plasma samples from patients with colorectal cancer

[0202] The patients with c...

Embodiment 3

[0244] Example 3: Plasma targeted amino acid metabolomics research in patients with colorectal cancer

[0245] 1. Purpose

[0246] Targeted amino acid metabolomics study in plasma of patients with colorectal cancer.

[0247] 2 Data processing and statistical methods

[0248] Umetrics Simca 14.1 software was used for multidimensional statistical processing, principal component analysis and orthogonal partial least squares-discriminant analysis. The t-test was used to compare the differences in plasma amino acid content among the groups, and p<0.05 was considered statistically significant.

[0249] 3 Multidimensional statistical analysis of plasma amino acids

[0250] 3.1 Principal Component Analysis (PCA)

[0251] In order to find the amino acid metabolism information that distinguishes the plasma of colorectal cancer patients from that of healthy volunteers, firstly, an unsupervised PCA-X model was established to analyze the plasma samples of 130 patients with colorectal c...

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Abstract

The present invention relates to the technical field of hematological diagnosis of malignant tumors, and provides the application of three amino acid factors tryptophan (Trp), sarcosine (Sar) and glutamic acid (Glu) as biomarkers for hematological diagnosis of colorectal cancer, And the application in the construction of colorectal cancer hematological amino acid combined factor diagnostic model, the regression equation of the diagnostic model is established after logistic regression based on Trp, Sar, Glu, the regression equation is: combined factor = 0.001 × C Trp +0.029×C Sar -0.002×C Glu -9.427 (C Trp 、C Sar 、C Glu The unit is ng/mL). The hematological diagnostic model of colorectal cancer established by the present invention is simple, easy to judge, and has high accuracy, high sensitivity and strong specificity for the diagnosis of colorectal cancer, and is especially suitable for large-scale population screening of colorectal cancer. The clinical diagnosis of colorectal cancer provides an effective, reliable and convenient method, which has good auxiliary diagnostic value for colorectal cancer.

Description

technical field [0001] The present invention relates to the technical field of hematological diagnosis of malignant tumors, in particular to the application of amino acid combination factors in the construction of hematological diagnostic models of colorectal cancer, and more specifically to a method based on tryptophan (Trp), sarcosine (Sar), Application of combined factors established by glutamic acid (Glu) in constructing hematological diagnostic model of colorectal cancer. Background technique [0002] Colorectal cancer (CRC), also known as colorectal cancer, is a common malignant tumor of the digestive system. In 2008, there were more than 1.2 million new cases of colorectal cancer worldwide, and more than 608,700 deaths [Jemal A, Bray F, Center MM, et al. Global cancer statistics. Ca: A Cancer Journal for Clinicians, 2011, 61( 2):69-90.]; new cases ranked third among common tumors, and death cases ranked fourth among tumor deaths [Qiu YP, Cai GX, Su MM, et al. Serum m...

Claims

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Application Information

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IPC IPC(8): G01N33/68G01N33/574
CPCG01N33/57446G01N33/68G01N33/6848
Inventor 陈万生杨阳张凤高守红王志鹏李明明位华仲人前
Owner SECOND AFFILIATED HOSPITAL SECOND MILITARY MEDICAL UNIV
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