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Novel biomarker for evaluating lung cancer disease through plasma

A marker, plasma technology, applied in measurement devices, instruments, scientific instruments, etc., can solve problems such as affecting the application of polyamines and failing to find specific markers for lung cancer

Inactive Publication Date: 2015-06-03
SHENYANG PHARMA UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Current studies have failed to confirm which polyamines are cancer biomarkers, nor have they found specific markers for lung cancer, which greatly affects the application of polyamines as lung cancer auxiliary diagnosis, prognosis and efficacy evaluation indicators.

Method used

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  • Novel biomarker for evaluating lung cancer disease through plasma
  • Novel biomarker for evaluating lung cancer disease through plasma
  • Novel biomarker for evaluating lung cancer disease through plasma

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0014] Example 1 Lung cancer and healthy human plasma sample collection method

[0015] Collect 50 patients with lung cancer confirmed by pathological cytology, including 30 males and 20 females, aged 27-77 years, with an average of 53 years old. The control group consisted of 50 cases, all of whom were healthy adults, confirmed by blood and urine routine tests, including 30 males and 20 females, aged 27-65 years, with an average of 52 years old. Collect venous blood from lung cancer patients and healthy people. Immediately after collection, the blood samples should be centrifuged at 3500rpm for 10 minutes to separate the plasma. The separated plasma samples should be placed in labeled test tubes and stored in an ultra-low temperature refrigerator below -80°C.

[0016] Take 250 μL of plasma sample in EP tube, add 50 μL of methanol:water (20:80, v:v) mixed solution and 50 μL of solution internal standard solution (1,6-hexamethylenediamine, 100 ng / mL), vortex 30s. After adding...

Embodiment 2

[0017] Example 2 Detection method of polyamine samples in lung cancer and healthy human plasma

[0018] The 5 μL supernatant obtained in Example 1 was analyzed by UHPLC-MS / MS, and the detection conditions were as follows:

[0019] (1) Reagents

[0020] Standard substances 1,3-propanediamine, putrescine, cadaverine hydrochloride, spermidine hydrochloride, spermine hydrochloride, agmatine sulfate, acylated putrescine hydrochloride, acylated spermidine salt Salt, acylated spermine hydrochloride, ornithine hydrochloride, lysine, arginine, S-adenosylmethionine, and heptafluorobutyric acid are all products of Sigma. HPLC grade methanol was the product of Fisher Company, other chemical reagents were only of analytical grade, and water was deionized redistilled water.

[0021] (2) Instruments

[0022] Prominence UFLC XR ultra-fast high-separation liquid chromatograph equipped with LC-20AD infusion pump, SIL-20AC autosampler, CTO-20AC column oven and DGU-20A3 degasser (Shimadzu Corp...

Embodiment 3

[0031] Example 3 Mathematical statistics method for lung cancer samples

[0032] The data that embodiment 2 records is first carried out outlier test, adopts Hampel test method to analyze, and its concrete steps are:

[0033] 1. Calculate the mean (M e ), which divides this data set into high and low parts.

[0034] 2. Calculate r based on the mean of all elements in the data set i

[0035] r i =(x i -M e ) is the simple data in the data set,

[0036] x belongs to the data set 1--n, n is the number of elements in the data set, M e is the mean

[0037] Calculate the deviation M e|ri| The mean value of , according to the condition|r i |≥4.5M e|ri|

[0038] When the above conditions are true, the values ​​in the data set are considered outliers.

[0039] The data of 3 cases of lung cancer and 2 cases of healthy people were removed. Then, the data of lung cancer plasma and healthy human plasma were assigned 1 and 2 as dependent variables, and 14 polyamine analytes we...

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Abstract

The invention relates to a novel biomarker for evaluating the lung cancer disease. The biomarker is more sensitive for the pathological change of the lung cancer, especially at the early stage of the disease or injury. The novel biomarker adopts a UHPLC-MS / MS method to respectively detect the concentrations of the 14 types of substances such as 1, 3-propane diamine (DAP), putrescine (PUT), cadaverine (CAD), spermidine (SPD), spermine (SPM), agmatine (AGM), ornithine (ORN), lysine (LYS), arginine (ARG), S-ademetionine (SAM), acylated putrescine (NPUT), acylated spermine (NSPM), acylated spermidine (NSPD) and gamma-aminobutyric acid (GABA) closely related with polyamine synthesis and catabolism in a plasma sample of a healthy person and a patient with the cancer. The invention provides an application using the S-ademetionine and the arginine in plasma of a human body as lung-cancer markers. The novel biomarker is relatively sensitive for the pathological change of the lung cancer and can be used for diagnosis, prognosis and curative-effect evaluation of the lung cancer.

Description

technical field [0001] The present invention relates to novel biomarkers for the assessment of lung cancer disease which are sensitive to changes in lung cancer pathology, especially at early stages of disease or injury. Furthermore, the present invention relates to methods for assessing the risk of developing lung cancer in humans. Background technique [0002] Metabonomics (metabonomics / metabolomics) is a new discipline proposed after genomics, transcriptomics, and proteomics, and is an important part of systems biology. When biological organisms are stimulated by external disease sources or environmental changes, they will produce multi-level, multi-organ and multi-tissue responses, and these responses will eventually affect the changes in terminal metabolic levels. The science of the changing rules of terminal small molecule metabolites (usually referring to the molecular weight less than 1000Da) in the body when stimulated by certain substances, and dynamically expound...

Claims

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Application Information

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IPC IPC(8): G01N30/02
Inventor 李清毕开顺刘然毕文川何博赛贾英
Owner SHENYANG PHARMA UNIVERSITY
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