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Microflora marker for predicting gastric cancer lymph node metastasis and application thereof

A technology for lymph node metastasis and markers, which is used in applications, medical preparations containing active ingredients, microorganisms, etc., to achieve the effect of good detection specificity and high sensitivity

Active Publication Date: 2022-06-10
THE FIRST AFFILIATED HOSPITAL OF SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the physiological characteristics such as the low abundance of microorganisms in the stomach and the unfavorable long-term survival of microorganisms in the gastric acid environment, there are few studies on the microorganisms in the stomach.

Method used

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  • Microflora marker for predicting gastric cancer lymph node metastasis and application thereof
  • Microflora marker for predicting gastric cancer lymph node metastasis and application thereof
  • Microflora marker for predicting gastric cancer lymph node metastasis and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Example 1. Micro ecological analysis of gastric cancer tissue

[0029] (1) Gastric cancer tissue microorganisms DNA extraction:

[0030] During the surgery of gastric cancer patients, the surgical doctor will separate the gastric specimens, properly clean the gastric specimen, and use sterile equipment to dissect it.0.1 % ethylene pyrogenesis iodine disinfecting the surface was cleaned and disinfected, and then the frozen storage tube was loaded, and the liquid nitrogen was transferred to transfer.

[0031] The thawing gastric cancer tissue sample was fully grinded using the grinding pearl average (BIOSPEC).

[0032] (2) Swalm of gastric cancer tissue microorganisms 16S RRNA amplification subquitm:

[0033] The extracted gastric cancer tissue microorganisms DNA use 341F 5′-CCTACGGGGCWGCWGCAG-3 ′ (SEQ ID NO: 1) and 806r 5′-GGACTACHVGGTWTAAT-3 ′ (SEQ ID NO: 2), and use UCPMultiplex PCR Kit (qiagenn) The 16S RRNA gene V3-V4 area amplification is made, and the Qiasequltralow I...

Embodiment 2

[0037] Example 2. Screening the characteristic gastric flora of patients with gastric cancer lymph nodes

[0038] (1) Establishment of the research queue

[0039]In this study, 9 cases of gastric cancer patients were collected. The primary stove tissue samples were performed. After surgery, all patients were diagnosed to determine whether there were lymph node metastasis. Four patients had no lymph nodes and 5 patients had lymph nodes metastasis.

[0040] (2) Features of gastric cancer tissue groups of gastric cancer lymph node metastasis

[0041] Micro ecological analysis of gastric cancer tissue groups is performed according to the method of Example 1.Based on gastric cancer patients with no lymph nodes metastasis, linear discrimination analysis effect (Linear Discriminant Analysis EffectSize (Lefse) method analyzes the characteristic flora of gastric cancer lymphoskin metastasis.

[0042] First of all, use non-parameter test KRUSKAL-WALLIS rank and test to identify the abundan...

Embodiment 3

[0044] Examples 3. Evaluation of gastric cancer tissue microbial markers predict the diagnostic effectiveness evaluation of gastric cancer lymph nodes metastasis experiment

[0045] (1) Revolution and testing of gastric cancer patients verifying the queue

[0046] A sample of primary stove tissue was collected in accordance with the scheme of the embodiment 2, 4 of which had lymph nodes metastasis and 4 cases of no lymph nodes were transferred.The micro -ecological testing scheme of the gastric cancer tissue is based on Example 1.

[0047] (2) Evaluation of the diagnostic effectiveness of gastric cancer tissue microbial tags predict gastric cancer lymph nodes metastasis.

[0048] The test results reminded that the relative abundance of 4 patients with lymph nodes metastasis gastric cancer patients (Enterobacteriales) Yersinia (2.250 % vs 0.133 %, which is significantly higher than that of Yersinia.P = 0.021).The Receiver OperationCharacteristic Curve (ROC) found that the relativ...

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Abstract

The invention relates to the technical field of microorganisms, and particularly discloses a flora marker for predicting gastric cancer lymph node metastasis and application of the flora marker. According to the present invention, the bacterial flora marker of the present invention is Yersinia (Yersinia), and the bacterial flora marker of the present invention is Yersinia (Yersinia). The flora marker disclosed by the invention can be used for auxiliary diagnosis for predicting the gastric cancer lymph node metastasis risk, is good in detection specificity (100%) and high in sensitivity (100%), and has the effects of indicating the condition of gastric cancer tissue microbial flora and guiding the adjustment of gastric cancer tissue micro-ecology so as to reduce the possibility of lymph node metastasis (lymph node metastasis rate) of gastric cancer patients.

Description

Technical field [0001] The invention involves the field of microbial technology, especially a flora logo and its application that predict gastric cancer lymph nodes. Background technique [0002] Gastric Cancer is one of the most common malignant tumors. In recent years, gastric cancer diagnosis and treatment technology has developed rapidly, but early diagnosis and treatment strategies are still insufficient.Cancer metastasis is one of the main reasons for the poor prognosis of cancer patients, and the most common metastasis of gastric cancer is lymph node metastasis.Once the lymph nodes are metastasis, the cancer is further vicious, and the treatment effect is often not ideal, and the prognosis is poor.In addition, the specific molecular characteristics that promote gastric cancer lymph node metastasis are still unclear, and the lack of effective predicting diagnostic methods for gastric cancer lymph nodes and reliable biomarkers may be one of the important reasons for the low ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886C12Q1/689A61K45/00A61P35/04A23L33/135C12R1/01
CPCC12Q1/6886C12Q1/689A61K45/00A61P35/04A23L33/135A23V2002/00A23V2200/308
Inventor 陈剑辉蔡世荣翟二涛张天豪赵日升钱焱黄志鑫戴伟钢叶锦宁陈斯乐李广华刘剑秋徐翔陈俊廷柳逸楠马艳李子康李嘉淇梁婉素
Owner THE FIRST AFFILIATED HOSPITAL OF SUN YAT SEN UNIV