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Set of genes used for bladder cancer detection and application thereof

A technique for bladder cancer, genetics, used in cancer detection and molecular biology

Active Publication Date: 2018-11-23
HANGZHOU CANHELP GENOMICS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The entire experiment is conservatively estimated to take more than 10 hours
In clinical practice, it takes two working days to complete the detection of one sample, and clinical application faces great challenges

Method used

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  • Set of genes used for bladder cancer detection and application thereof
  • Set of genes used for bladder cancer detection and application thereof
  • Set of genes used for bladder cancer detection and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0114] Collection and processing of training set samples;

[0115] The present invention analyzed 52 cases of bladder cancer patients, 40 cases of non-bladder cancer patients with other urinary system diseases, a total of 92 cases of clinical data of urine samples and 20,500 gene expression abundance data, and constructed bladder cancer genes in urine express database.

[0116] Screening of 32 specific genes;

[0117] According to the measured value of gene expression abundance, the inventors selected 32 genes closely related to bladder cancer from 20,500 genes by using the statistical analysis method T-test. These genes were differentially expressed in bladder cancer, which was statistically significant, as shown in Table 1.

[0118] Table 1: 32-gene set

[0119]

[0120] Construction of 32-gene statistical analysis model:

[0121] Based on the expression patterns of 32 specific genes in bladder cancer and non-bladder cancer samples, the inventors used the Support Vector...

Embodiment 2

[0123] In this example, the inventors analyzed the high-throughput sequencing data of 107 urine samples, including 63 bladder cancer samples and 44 non-bladder cancer samples. Each sample was discriminated by the 32-gene statistical analysis model, and compared with the clinical diagnosis results, the accuracy rate was 91.6%, the sensitivity was 92.1%, and the specificity was 90.9%, see Table 2.

[0124] Table 2: Discrimination results of 32-gene detection in the validation set of 107 cases

[0125]

Embodiment 3

[0127] In this example, the inventors collected 114 urine samples, including 80 bladder cancer samples and 34 non-bladder cancer samples. The researchers first centrifuged the exfoliated cells in the urine, and then used the purification column extraction method instead of the traditional TRIzol method to extract total RNA. Among them, 8 samples were excluded due to unqualified RNA quality, and the rejection rate was 7%. Ultimately, the study included 106 samples, including 74 bladder cancer samples and 32 non-bladder cancer samples. The extracted and purified RNA was reverse-transcribed to obtain cDNA, and the real-time quantitative polymerase chain reaction of 32 genes was performed to detect the gene expression level in the exfoliated cells in urine, and the analysis model was used to calculate the similarity score between the sample and bladder cancer.

[0128] International patent application WO2014 / 118334 describes the use of TRIzol (Invitrogen, Carlsbad, CA, USA) extra...

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Abstract

The invention discloses a set of genes used for bladder cancer detection and application. The set of genes used for bladder cancer detection comprise the following 32 genes: a CA9 gene, a CDK1 gene, aCTSE gene, a DMBT1 gene, an ERBB2 gene, an HOXA13 gene, an IGF2 gene, a CXCR2 gene, an MAGEA3 gene, an MDK gene, an MMP1 gene, an MMP12 gene, a RBP2 gene, a CCL18 gene, an SNAI2 gene, a VEGFA gene, an MFAP5 gene, an SGK2 gene, a WFDC2 gene, a POSTN gene, an NPFFR2 gene, an ANXA10 gene, a CTAG2 gene, a ZDHHC2 gene, a KRT20 gene, a PPP1R14D gene, an FGD3 gene, an AHNAK2 gene, an SEMA3D gene, a ZNF707 gene, a LOC100652931 gene and an LINC00565 gene. High accuracy and objective result interpretation by adopting a detection kit of the set of genes for bladder cancer detection are proven clinically; meanwhile, as non-invasive detection, compared with existing cystoscopy, the detection kit has the advantage that the compliance of a patient is greatly improved, and the detection kit has importantclinical significance to early detection and postoperation monitoring of bladder cancer.

Description

technical field [0001] The invention relates to the fields of cancer detection and molecular biology, as well as the clinical application of diagnostic techniques. Specifically, the present invention relates to a group of genes used for bladder cancer detection (including diagnosis, prognosis and monitoring) and its application. By detecting the expression of specific genes in urine exfoliated cells, it is possible to identify whether or not a subject has bladder cancer. In addition, the present invention also relates to a kit for bladder cancer detection. Background technique [0002] Bladder cancer refers to malignant tumors that occur on the bladder mucosa. It is the most common malignant tumor in the urinary system and one of the ten most common tumors in the whole body. It accounts for the first place in the incidence of genitourinary system tumors in my country, and its incidence is second only to prostate cancer in the West. According to Chinese cancer statistic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886C12N15/12
CPCC12Q1/6886C12Q2600/118C12Q2600/158G16B40/20G16B25/10G16B50/00
Inventor 徐清华王奇峰陈成书陈金影孙益丰任婉丽王宏莹吴益旺霍涛
Owner HANGZHOU CANHELP GENOMICS TECH CO LTD
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