Prediction model of peritoneal metastasis of gastric cancer based on 22 genes and its application

A metastasis prediction and gene technology, which is applied in the determination/inspection of microorganisms, biochemical equipment and methods, etc., can solve problems such as gene model prediction or diagnosis of gastric cancer, and achieve specific and effective prediction, good accuracy, and improved survival rate. Effect

Active Publication Date: 2021-01-29
FUJIAN MEDICAL UNIV UNION HOSPITAL +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the molecular mechanism of peritoneal metastasis of gastric cancer has not been systematically analyzed, and there is no related gene model that can predict or diagnose the risk of peritoneal metastasis of gastric cancer

Method used

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  • Prediction model of peritoneal metastasis of gastric cancer based on 22 genes and its application
  • Prediction model of peritoneal metastasis of gastric cancer based on 22 genes and its application
  • Prediction model of peritoneal metastasis of gastric cancer based on 22 genes and its application

Examples

Experimental program
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Effect test

Embodiment 1

[0024] Example 1 is about the establishment of a predictive gene model for gastric cancer peritoneal metastasis.

[0025] A total of 61 gastric cancer patients diagnosed by pathology in Union Hospital Affiliated to Fujian Medical University from 2007 to 2010 were selected. Among them, 21 patients with gastric cancer peritoneal metastasis (number Y1-Y21) and 40 patients with non-peritoneal metastasis (number N1-N40) ), with the approval of the ethics committee of the hospital, use the patient's paraffin block sample for gene capture and next-generation sequencing, and collect its clinical and pathological information at the same time, and finally comprehensively analyze the genome sequencing results and clinical information to construct gastric cancer peritoneal metastasis Predictive genetic models.

[0026] (1) Gene capture and next-generation sequencing analysis of mutation spectrum

[0027] The paraffin blocks of tumor focus tissue and matching normal gastric tissue from ga...

Embodiment 2

[0047] Example 2 is an analysis of 5 patients with gastric cancer (cases 1-5, corresponding to sample numbers S1-S5) who were treated at the Union Hospital of Fujian Medical University, using the constructed gene model for predicting peritoneal metastasis of gastric cancer. Paraffin block tissue samples from patients were used for gene capture and next-generation sequencing, and their clinicopathological information was collected and followed up. The analysis results and clinicopathological information based on the constructed gastric cancer peritoneal metastasis prediction model were integrated to verify the reliability of the constructed model. .

[0048] Referring to Example 1 and using the gene model and its analysis method in Example 1, gene capture and next-generation sequencing were used to analyze the mutation spectrum. Specifically: deep sequencing analysis of 22 candidate genes was carried out on the tumor tissue and normal tissue of 5 patients with gastric cancer, a...

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Abstract

The invention belongs to the field of gene detection, and provides a gastric cancer peritoneal metastasis prediction gene model and its application, including PCLO, UGGT1, ZNF714, KIAA0825, COL23A1, MED1, NPAS2, TTC14, RPS27A, ASPH, ARHGEF12, SIK1, PAPPA, HHIPL1, MYO9B, ITPKB , ZNF862, MKNK1, MUC6, TRRAP, DUOX1, and KRTAP5‑2; the selected classifier SVM and the positive judgment threshold of 0.5 are effective and specific for predicting the risk of peritoneal metastasis. The application of the gene model of the present invention helps to predict the metastasis of gastric cancer patients, and is of great value and significance for timely taking effective clinical measures, formulating individualized diagnosis and treatment schemes, and finally improving the survival rate of gastric cancer patients.

Description

technical field [0001] The invention belongs to the field of gene detection, and in particular relates to a gene model for predicting peritoneal metastasis of gastric cancer and its application. Background technique [0002] According to the latest statistics, gastric cancer is a malignant tumor with the fourth highest incidence rate and the second highest mortality rate in the world, and the highest mortality rate of gastric cancer in my country is the third highest among malignant tumors. Early gastric cancer has no obvious symptoms, and most patients are in the middle and late stages when they see a doctor, and there is no effective treatment. Peritoneal metastasis is the main way of gastric cancer metastasis. Peritoneal metastasis is found in 10-25% of gastric cancer patients before or during operation, and 30-60% of patients after radical operation still have peritoneal metastasis. Therefore, peritoneal metastasis of gastric cancer is the main cause of death and the bo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886
Inventor 陈强张秀清郑建伟施纯玫黄志清黄晓纯邱思陈超
Owner FUJIAN MEDICAL UNIV UNION HOSPITAL
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