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Double-gene combination and application thereof to personalized candidate evaluation of gastric cancer immunotherapy patient

A double-gene, gastric cancer technology, applied in the fields of biotechnology and medicine, can solve the problem of gastric cancer lacking a tumor microenvironment molecular subtype system, and achieve the effects of simple means, poor prognosis, and accurate survival prognosis

Pending Publication Date: 2022-01-21
AFFILIATED HOSPITAL OF JIANGNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, gastric cancer lacks a system of molecular subtyping of the tumor microenvironment recognized by two marker genes

Method used

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  • Double-gene combination and application thereof to personalized candidate evaluation of gastric cancer immunotherapy patient
  • Double-gene combination and application thereof to personalized candidate evaluation of gastric cancer immunotherapy patient
  • Double-gene combination and application thereof to personalized candidate evaluation of gastric cancer immunotherapy patient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Example 1: Identification of High-Risk Immune Overdrive Subgroup Patients in the TCGA Gastric Cancer Patient Cohort

[0062] Step 1. Obtain the RNA-Seq expression data of tumor tissue genes and survival prognosis data of gastric cancer patients from the Genomic Data Commons Data Portal;

[0063] Step 2. Analyze the overall survival rates of dual genes CTSL and ZBTB7B respectively. Set the total number of samples as N, and sort the expression of the genes to be tested from high to low, respectively EXP 1 、EXP 2 ...... EXP N , divided into high expression group and low expression group, the first round will EXP 1 High expression group H 1 , EXP 2 to EXP N low expression group L 1 , using Kaplan-Meier analysis and log-rank test to calculate H 1 group compared to L 1 Group survival risk value (hazard ratio, HR) HR 1 and a significant P value P 1 ; In the second round, EXP1 to EXP2 were classified as high expression group H 2 , EXP 3 to EXP N low expression grou...

Embodiment 2

[0068] Example 2: Identification of a high-risk immune overdrive subgroup of patients in the GSE15459 gastric cancer patient cohort

[0069] Step 1. Obtain the microarray expression data and survival prognosis data of tumor tissue genes of GSE15459 gastric cancer patients from Gene Expression Omnibus;

[0070] Step 2. Analyze the overall survival rates of dual genes CTSL and ZBTB7B respectively. Set the total number of samples as N, and sort the expression of the genes to be tested from high to low, respectively EXP 1 、EXP 2 ...... EXP N , divided into high expression group and low expression group, the first round will EXP 1 High expression group H 1 , EXP 2 to EXP N low expression group L 1 , using Kaplan-Meier analysis and log-rank test to calculate H 1 group compared to L 1 Group survival risk value (hazard ratio, HR) HR 1 and a significant P value P 1 ; In the second round, EXP1 to EXP2 were classified as high expression group H 2 , EXP 3 to EXP N low express...

Embodiment 3

[0075] Example 3: Self-collection of gastric cancer patient cohort conduct Identification of subgroups of patients with high-risk immune overdrive

[0076] Step 1. Obtain tumor tissue samples from 120 gastric cancer patients from the sample bank of the Affiliated Hospital of Jiangnan University, and obtain clinical prognosis data through follow-up;

[0077] Step 2, detecting the expression levels of CTSL and ZBTB7B in the sample by real-time fluorescent quantitative PCR;

[0078] Step 3. Analyze the overall survival rate of dual genes CTSL and ZBTB7B respectively, set the total number of samples as N, sort the expression of the genes to be tested from high to low, respectively EXP 1 、EXP 2 ...... EXP N , divided into high expression group and low expression group, the first round will EXP 1 High expression group H 1 , EXP 2 to EXP N low expression group L 1 , using Kaplan-Meier analysis and log-rank test to calculate H 1 group compared to L 1 Group survival risk val...

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Abstract

The invention discloses a double-gene combination for identifying a gastric cancer high-risk immune overdrive subgroup. The double-gene combination is prepared by the following steps: acquiring a gastric cancer immune checkpoint related double-gene combination by utilizing a gastric cancer patient tumor tissue transcriptome and survival data in a public database; detecting expression of double genes in a queue of gastric cancer patients to be detected; identifying respective most significant survival grouping points of the double genes according to the expression of the double genes and the survival data of the queue of the gastric cancer patients to be detected; and according to respective most significant survival grouping points of the double genes, dividing high-risk immune over-driven subgroups of the queue of the gastric cancer patients to be detected. The patient of the high-risk immune over-driven subgroups, identified according to the invention not only has obvious poor prognosis, but also has relatively high pre-stored immunocompetence and immune checkpoint abundance. For the queue of the gastric cancer patients, a patient group suitable for immunotherapy can be identified.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and specifically relates to a method for identifying gastric cancer high-risk immune overdrive subgroups based on the combined expression of two genes. Background technique [0002] Cancer is one of the leading causes of death in the world, especially gastric cancer is still an important cancer worldwide, with high morbidity and mortality in Asian countries including China. According to the Global Cancer Statistics published in 2021, there are about 1.08 million new gastric cancer cases worldwide, accounting for 5.6% of the total; about 760,000 new gastric cancer deaths, accounting for 7.7% of the total. According to the Cancer Incidence and Mortality in China report published in 2020, there are about 400,000 new cases of gastric cancer in China, and about 200,000 new deaths from gastric cancer. However, the high heterogeneity of the tumor microenvironment in gastric cancer hinders the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/118C12Q2600/158
Inventor 黄朝晖崔凯飒
Owner AFFILIATED HOSPITAL OF JIANGNAN UNIV
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