Construction method of tumor microenvironment scoring system for predicting gastric cancer immunotherapy and molecular probe

A tumor microenvironment and molecular probe technology, applied in the field of molecular probes to detect the expression level of each gene in a gene set, can solve the problems of lack of standardization of antibodies and staining, incomplete mechanism of immunotherapy, and neglect of tumor living environment, etc. Achieve the effect of short manual operation time, less specimen volume, and saving medical resources

Inactive Publication Date: 2021-10-22
释科生物科技(广州)有限公司
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  • Application Information

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Problems solved by technology

This phase III clinical randomized controlled study showed that the expression level of PD-L1 has limitations: ①The expression of PD-L1 in tumors is heterogeneous, different tumor types and different regions of the same tumor, the difference between tumor lesions and metastases There may be differences in the expression of PD-L1 between patients; ②The lack of standardization of antibodies and staining, the expression level of PD-L1 is mainly evaluated by immunohistochemical staining
[0006] In summary, at present, the stability of various biomarkers in predicting the efficacy

Method used

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  • Construction method of tumor microenvironment scoring system for predicting gastric cancer immunotherapy and molecular probe
  • Construction method of tumor microenvironment scoring system for predicting gastric cancer immunotherapy and molecular probe
  • Construction method of tumor microenvironment scoring system for predicting gastric cancer immunotherapy and molecular probe

Examples

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Effect test

Embodiment 1

[0057] Example 1 The multigene scoring model of the tumor microenvironment of the present invention and its construction method

[0058] The construction method of the multigene scoring model that is used to evaluate tumor microenvironment, the steps are as follows:

[0059] (1) Affymetrix chip normalized data of 300 patients with gastric cancer; the data is derived from GSE62254 (obtained from NCBI public database);

[0060] (2) Evaluate the composition of immune cells in the tumor microenvironment on the sequencing data through CIBERSORT and MCP-counter algorithms, and obtain the composition evaluation results of 23 kinds of immune cells;

[0061] (3) Unsupervised clustering of immune cells in the tumor microenvironment by consensuclusterplus2 to obtain different types of tumor microenvironment;

[0062] (4) Through pairwise difference analysis and random forest machine learning algorithm, 244 gene sets that can evaluate the tumor microenvironment score are finally determined...

Embodiment 2

[0086] Example 2 Example of Gastric Cancer Patient Sample Detection

[0087] In this example, among the 70 specimens collected from 5 clinical centers (Nanfang Hospital of Southern Medical University, Cancer Center of Sun Yat-sen University, Guangdong Provincial Hospital of Traditional Chinese Medicine, The Sixth Affiliated Hospital of Sun Yat-sen University, and the First Affiliated Hospital of Sun Yat-sen University), 48 The samples with good RNA quality were used for subsequent detection. Formalin-fixed paraffin-embedded (FFPE) or fresh-frozen tumor tissue was collected from patients at multiple clinical centers before receiving checkpoint immunotherapy. Tumor response to immunotherapy was evaluated according to RECIST 1.1 criteria.

[0088] step one:

[0089] 1. Extraction of RNA from tumor tissues of patients with gastric cancer

[0090] ① First, put the tissue of the tumor sample directly into the mortar, add a small amount of liquid nitrogen, and grind it quickly. Af...

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Abstract

The invention provides a group of molecular probes for detecting and evaluating a gene set of a tumor microenvironment. The molecular probes comprise 44 nucleotide sequences as shown in SEQ ID NO: 1-44. A screened probe is used for carrying out NanoString digital expression detection on the expression of a target gene in a same hole, a digital gene expression profile is drawn, and the probe can be used for evaluating the immunotherapy effect. The invention further provides a construction method of a multi-gene scoring model for evaluating the gastric cancer tumor microenvironment, and 44 gene sets capable of representing different microenvironment types are screened out and can be used for establishing the tumor microenvironment multi-gene scoring model for evaluating patients. By effectively evaluating the tumor microenvironment, the model not only can be used as a good prognosis biomarker, but also can predict checkpoint inhibitor immunotherapy response of various tumors, and has important significance and clinical application value for realizing individualized medical treatment and saving medical resources at the same time.

Description

technical field [0001] The invention belongs to the field of biological information, and relates to a gene set for evaluating tumor microenvironment, a method for constructing a scoring system, and a molecular probe for detecting the expression level of each gene in the gene set. Background technique [0002] Gastric cancer is a malignant tumor with a high incidence among Chinese residents. According to the data of GLOBOCAN in 2012, the new cases of gastric cancer in China accounted for 42.5% of the global total, and the number of deaths accounted for 45% of the world. The prognosis of patients with advanced gastric cancer is poor, the incidence of recurrence or disease progression after first-line chemotherapy is high, the survival rate of patients is low, and the options for later-line treatment are limited. The biggest challenge of immunotherapy is that only some patients can benefit from it. How to accurately screen out the patient group that can benefit from checkpoint ...

Claims

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Application Information

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IPC IPC(8): C12N15/11C12Q1/6886G06K9/62G16B25/10G16B30/10
CPCC12Q1/6886G16B25/10G16B30/10C12Q2600/166G06F18/23
Inventor 廖旺军曾东强
Owner 释科生物科技(广州)有限公司
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