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SNP marker for assisting in diagnosing non-small cell lung cancer and application thereof

A technology for non-small cell lung cancer and auxiliary diagnosis, which is applied in the field of SNP markers and can solve the problems of differences in cytological morphology and other issues

Active Publication Date: 2019-06-14
NANJING MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are certain differences between non-small cell lung cancer and small cell lung cancer in terms of cytological morphology, tumor genome and genetic susceptibility. There is no report on the application of SNP in the auxiliary diagnosis of non-small cell lung cancer. The use of SNPs related to cell lung cancer as biomarkers and the development of corresponding diagnostic kits will definitely give a strong impetus to the diagnosis status of non-small cell lung cancer in my country, and also open up new possibilities for drug screening, drug efficacy evaluation and targeted therapy. new way

Method used

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  • SNP marker for assisting in diagnosing non-small cell lung cancer and application thereof
  • SNP marker for assisting in diagnosing non-small cell lung cancer and application thereof
  • SNP marker for assisting in diagnosing non-small cell lung cancer and application thereof

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] The collection of embodiment 1 sample and the arrangement of sample data

[0060] The inventor collected a large number of non-small cell lung cancer blood samples from the Affiliated Cancer Hospital of Nanjing Medical University and the First Affiliated Hospital of Nanjing Medical University from April 2005 to August 2017, and participated in the screening of chronic non-communicable diseases from the same period Peripheral blood samples were collected from the community population of the project. After sorting out the sample data, the inventor selected 19,546 samples that met the following criteria for genome-wide microarray scanning:

[0061] 1. Selection of research samples

[0062] (1) Clinically diagnosed as non-small cell lung cancer;

[0063] (2) Healthy controls matched with the age and gender of the case;

[0064] The demographic data and clinical data of these samples were collected systematically.

Embodiment 2

[0065] Whole Genome Scanning of SNP in Example 2 Peripheral Blood DNA

[0066] Among the 10,248 eligible non-small cell lung cancer patients and 9,298 healthy controls mentioned above, the two groups were matched in age and gender. These two groups of people were passed through Illumina GSA v1.0 chip detection obtained relevant results. The specific steps are:

[0067] 1. Add hemolysis reagent (i.e. lysate, 40 parts) to the leukocytes stored in the 2ml cryopreservation tube. The volume of the solution was adjusted to 2000ml, the same below), and it was completely transferred after inverting and mixing.

[0068] 2. Removal of red blood cells: Fill the 5ml centrifuge tube to 4ml with hemolysis reagent, mix by inverting, centrifuge at 4000rpm for 10 minutes, and discard the supernatant. Add 4ml of hemolysis reagent to the precipitate, invert and wash again, centrifuge at 4000rpm for 10 minutes, and discard the supernatant.

[0069] 3. Extract DNA: add 1ml extract solution ...

Embodiment 3

[0079] Example 3 Further analysis of SNP and the incidence of non-small cell lung cancer by using the risk scoring method

[0080] Based on the above results, the inventors selected positively associated SNPs by comparing the genotype distribution frequencies of the two groups of samples ("non-small cell lung cancer case group" and "healthy control group"), and regressed a single SNP in the genome-wide scanning samples. The coefficient is the weight, and the risk score is further obtained, and ROC is drawn to analyze the sensitivity and specificity of diagnosis, and to evaluate the auxiliary diagnosis effect of these SNPs on non-small cell lung cancer. The combined analysis of 16 SNP markers found that these 16 SNPs separated the healthy control group from the non-small cell lung cancer case group with an AUC of 57.9%, the sensitivity of the optimal cut-off point was 56.5%, and the specificity: 55.3% ( figure 1 ).

[0081] 因此,本发明人证明了采用rs2293607、rs10429489、rs2517873、rs4573350、...

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Abstract

The invention belongs to the field of genetic engineering and oncology, and discloses an SNP marker for assisting in diagnosing non-small cell lung cancer and application thereof. The marker is a combination of rs2293607, rs10429489, rs2517873, rs4573350, rs1200399, rs4236709, rs13167280, rs17038564, rs55768116, rs1853837, rs12265047, rs401681, rs77468143, rs11610143, rs35201538 and rs3817963. Themarker can well distinguish healthy controls and non-small cell lung cancer patients, and can be used for preparing a non-small cell lung cancer auxiliary diagnostic kit.

Description

field of invention [0001] The invention belongs to the fields of genetic engineering and tumor medicine, and relates to SNP markers related to auxiliary diagnosis of non-small cell lung cancer and applications thereof. Background technique [0002] Lung cancer is one of the most serious malignant tumors that endanger human health. According to the International Agency for Research on Cancer (IARC), there were 2.094 million new cases of lung cancer in the world in 2018, accounting for 11.6% of all new cancer cases; the number of lung cancer deaths was 1.761 million, accounting for 18.4% of all cancer deaths. Due to the aging population, continuous increase in tobacco consumption, and changes in lifestyle, the disease burden of lung cancer in my country is becoming increasingly severe, and the incidence and mortality rates continue to rise. According to the latest estimates from the China Cancer Registry Center, in 2015, the number of male and female lung cancer cases in my c...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886C12N15/11
Inventor 沈洪兵胡志斌靳光付戴俊程马红霞江玥朱猛王铖
Owner NANJING MEDICAL UNIV
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