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Kit for detecting bladder cancer

A detection kit and detection reagent technology, applied in the field of cancer diagnosis reagents, can solve the problems of high cost and detection of many genes, etc.

Active Publication Date: 2021-04-20
HANGZHOU CANHELP GENOMICS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, more genes are tested and the cost is higher

Method used

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  • Kit for detecting bladder cancer
  • Kit for detecting bladder cancer
  • Kit for detecting bladder cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Example 1 Kit for detecting bladder cancer

[0039] 1. Kit composition

[0040] The kit includes a urine collection device, RNA extraction reagents, reverse transcription reagents, and real-time quantitative PCR (qPCR) detection reagents.

[0041]The urine collection device is a urine collection tank produced by Hangzhou Kebang Gene Technology Co., Ltd. (Zhehang Machinery 20201184); the RNA extraction reagent is a urine RNA extraction kit produced by Hangzhou Kebang Gene Technology Co., Ltd. ( Zhejiang Hangzhou Machinery 20190193); the real-time quantitative PCR detection reagents include commercially available 2×qPCR premix (containing Taq DNA polymerase, buffer suitable for PCR, dNTPs, fluorescent dyes) and primer pairs. The sequences of the primer pairs are as follows:

[0042]

[0043]

[0044] 2. How to use the kit

[0045] Use a urine collection device to collect 50 ml of urine in the middle of the subject's morning urine, centrifuge to collect exfoliated...

Embodiment 2

[0053] Embodiment 2 A kind of bladder cancer detection system

[0054] The bladder cancer detection system of the present invention is mainly composed of an input module, a calculation module and an output module. Its core is a computing module, which is essentially an electronic computer.

[0055] The computing module has a built-in support vector machine algorithm, which can be based on the known expression data of CA9, CCL18, ERBB2, IGF2, LINC00565, MMP12, PPP1R14D and SGK2 in bladder cancer and non-bladder cancer populations to obtain the second differentiation between bladder cancer and non-bladder cancer. classification model;

[0056] The calculation module can also substitute the expression data of the urine exfoliated cells CA9, CCL18, ERBB2, IGF2, LINC00565, MMP12, PPP1R14D and SGK2 into the aforementioned two-class model, and calculate and compare with known bladder cancer and non-bladder cancer groups. The similarity score of the expression data of CA9, CCL18, ER...

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Abstract

The invention discloses a kit for detecting bladder cancer, and belongs to the field of cancer diagnostic reagents. The kit disclosed by the invention comprises reagents for detecting the expression levels of eight genes including CA9, CCL18, ERBB2, IGF2, LINC00565, MMP12, PPP1R14D, SGK2 and the like in urine cast-off cells. The invention further discloses a system for detecting bladder cancer. The system obtains a binary classification model for distinguishing the bladder cancer from the non-bladder cancer based on the expression quantities of the eight genes through a machine learning algorithm, and the bladder cancer can be diagnosed with high accuracy. Compared with the prior art, the system has the advantages that under the condition of the same accuracy rate, the number of genes for bladder cancer diagnosis is greatly reduced, the detection cost is remarkably reduced, the detection time is shortened, and the development of medical institutions is more convenient, so that the urgent clinical requirements on non-invasive bladder cancer examination can be better met.

Description

technical field [0001] The present invention belongs to the field of cancer diagnostic reagents. Background technique [0002] Bladder cancer is a malignant tumor originating from the bladder and is one of the common cancers of the urinary system. Among bladder cancer patients, men are 3 to 4 times as likely as women. Bladder cancer can occur at any age, but most occurs in people over 50 years old. The occurrence and development of bladder cancer is a multi-factor and multi-step complex process, which is currently believed to be related to genetic susceptibility, smoking, occupational exposure, diet, and long-term use of certain drugs. [0003] Genetic susceptibility is an important factor in the occurrence and development of bladder cancer, and many related genes have been reported. For example: deletion of 1 copy and 2 copies of GSTM1 increases the risk of bladder cancer by 1.2 and 1.9 times, respectively; the valine at codon 105 of the GSTP1 gene increases the suscepti...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886G16B40/00G16B5/00G16B20/00
Inventor 徐清华吴益旺孙益丰宋凯斌任婉丽陈金影胡林义
Owner HANGZHOU CANHELP GENOMICS TECH CO LTD