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Lung cancer clinical drug gene detection standard and its application

A technology of genetic testing and standard products, which is applied in the field of biomedicine, can solve the problem that the detection sensitivity cannot be standardized and evaluated, and achieve the effect of accurate guidance

Active Publication Date: 2020-12-25
GENE CRAB BIOTECH CO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The present invention aims to provide a lung cancer clinical drug gene detection standard product and its application to solve the technical problem in the prior art that the detection sensitivity of the lung cancer clinical drug gene detection kit cannot be standardized and evaluated

Method used

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  • Lung cancer clinical drug gene detection standard and its application
  • Lung cancer clinical drug gene detection standard and its application
  • Lung cancer clinical drug gene detection standard and its application

Examples

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Effect test

Embodiment 1

[0055] 1. Preparation of standard products

[0056] (1) Raw material

[0057] Purchased 7 tumor cell lines (PC-9, NCI-H1975, KYSE450, SW48, NCI-H2228, NCI-H3122, HCC78) from Nanjing Kebai Biotechnology Co., Ltd. as drug gene detection reagents for lung cancer (reversible end termination sequencing method) Positive reference material for national reference. Purchased 1 normal cell line (BEAS-2B) and 3 tumor cell lines (AMO-1, NCI-H596, NCI-H929) from Nanjing Kebai Biotechnology Co., Ltd. as drug gene detection reagents for lung cancer (reversible terminal termination sequencing Law) The negative reference material of the national reference material. After the cells were cultured, the genomic DNA was extracted and stored at -20°C.

[0058] (2) Negative reference product preparation

[0059] Qubit quantification was performed on BEAS-2B cell line DNA, AMO-1 cell line DNA, NCI-H596 cell line DNA and NCI-H929 cell line DNA to obtain the concentration of cell line DNA (ng / μl). A...

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Abstract

The invention discloses a standard product for detecting genes of clinical medications for lung cancer and an application thereof, wherein the standard product comprises a lowest-detection-limit reference product at least comprising two different levels of variation-frequency DNA mixtures; and each level of variation-frequency DNA mixture comprises the following mutation sites: EGFR gene G719S, E746_A750del, S768I, T790M and L858R mutation sites, EML4-ALK gene E6, E20 and E13, E20 mutation site, SLC34A2-ROS1 gene E4, and E32 mutation site. By application of the technical scheme disclosed by the invention, whether a kit can detect the gene mutation and the gene frequency can be judged according to results, the accuracy of detection results of the existing kit can be verified and more accurate guidance also can be provided for clinical medications.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a gene detection standard product for clinical drug use in lung cancer and its application. Background technique [0002] Targeted therapy is to design corresponding therapeutic drugs for the identified carcinogenic site (the site can be a protein molecule inside the tumor cell or a gene fragment) at the cellular molecular level, and the drug enters the body The cancer-causing sites are deliberately selected to combine with each other to cause specific death of tumor cells without affecting normal tissue cells around the tumor, so molecular targeted therapy is also called "bio-missile". Targeted therapy refers to the use of standardized biomarkers to identify whether there is a certain disease-specific gene or gene profile that controls tumor growth, so as to determine the treatment method for specific targets. [0003] However, since the gene mutations related to tumors or ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/156C12Q2600/166
Inventor 张鑫媛张春涛刘东来王海波
Owner GENE CRAB BIOTECH CO
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