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.
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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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