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Characteristic miRNA expression profile combination and method for early prediction of gastric cancer

A prediction method and expression profiling technology, applied in the fields of biotechnology and medicine, which can solve problems such as difficulty in defining the critical value of early diagnosis

Inactive Publication Date: 2020-10-02
GUANGDONG NO 2 PROVINCIAL PEOPLES HOSPITAL
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the overlapping expression distribution of single miRNA in tumor and normal population, it is difficult to define the cut-off value of early diagnosis

Method used

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  • Characteristic miRNA expression profile combination and method for early prediction of gastric cancer
  • Characteristic miRNA expression profile combination and method for early prediction of gastric cancer
  • Characteristic miRNA expression profile combination and method for early prediction of gastric cancer

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Embodiment 1

[0117] A method for early prediction of gastric cancer based on a combination of characteristic miRNA expression profiles, comprising the following steps:

[0118] Step 1. Obtain stable and differentially expressed miRNAs (signature miRNAs) in patients with early gastric cancer. For details, see figure 1 .

[0119] Step 1.1. Download the transcriptome data and clinical data of tumor tissues and paracancerous tissues of gastric cancer patients from the Genomic Data Commons Data Portal database, obtain the read counts of the gene expression profiles of gastric cancer patients, and perform logarithmic transformation.

[0120] Step 1.2: Select miRNAs with a certain expression abundance, that is, the read counts of miRNAs in all samples are greater than or equal to 10, see formula (1) for details.

[0121] Step 1.3: Select gastric cancer patients with disease stages I and II, see formulas (2)-(3) for details, and record these patients as early gastric cancer patients.

[0122] St...

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Abstract

The invention discloses a characteristic miRNA expression profile combination and a method for early prediction of gastric cancer. The miRNAs include: hsa-mir-106b, hsa-mir-1307, hsa-mir-143, hsa-mir-17, hsa-mir-20a, hsa-mir-21, hsa-mir-532 and hsa-mir-93, and nucleotide probe sequences are shown in SEQ ID NO. 1-8. According to the invention, miRNA expression profile combination-based early risk assessment of the gastric cancer is high in accuracy and precision (area under the curve, AUC = 0.938), and the probability of developing early gastric cancer can be calculated by a support vector machine model with a need of only obtaining relative expressions of the above-mentioned eight miRNAs, so that the invention can be used as a reference for the early prediction of the gastric cancer.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and in particular relates to a combination of characteristic miRNA expression profiles and a method for early prediction of gastric cancer. Background technique [0002] Gastric cancer is a malignant tumor originating from gastric mucosal epithelial cells. Among them, gastric adenocarcinoma and gastric epithelial cell carcinoma account for about 95% of all gastric cancers, and the remaining 5% include adenosquamous carcinoma, squamous cell carcinoma and undifferentiated carcinoma. The age of onset of gastric cancer is generally over 50 years old, and the ratio of male to female incidence is 2:1. There are no obvious symptoms in the early stage of gastric cancer, which are often similar to the symptoms of chronic gastric diseases such as gastritis and gastric ulcer, and are easily overlooked. Therefore, the early diagnosis rate of gastric cancer is still low. Global Burden of Disease ...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886G16B25/10G16B35/00G16B5/00G16B40/00G16H50/20
CPCC12Q1/6886C12Q2600/112C12Q2600/158C12Q2600/178G16H50/20G16B5/00G16B25/10G16B35/00G16B40/00
Inventor 向国安李文兴陈小勋贺轲黄许森
Owner GUANGDONG NO 2 PROVINCIAL PEOPLES HOSPITAL
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