Bladder cancer detection kit and application thereof
A detection kit, bladder cancer technology, applied in the field of bladder cancer detection kits, to achieve automatic result judgment, high sensitivity, and good detection effect
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Embodiment 1
[0062] 1 Urine sample collection and pretreatment: 125 cases of bladder cancer patients (patients before treatment) and 146 cases of controls (including 50 cases of healthy people, 96 cases of patients with benign urinary system diseases) urine samples, a total of 271 cases of urine samples. The urine is morning urine or urine that has been held for more than 2 hours, with a volume of more than 15ml. After collection, it should be sent for inspection in time, and the storage time at room temperature should not exceed 2 hours. Urine samples were centrifuged at 2000 g for 10 min, and the supernatant was transferred to a new centrifuge tube for exosome extraction. The sediment was examined by Wright's staining for urine exfoliation cytology.
[0063] 2 Separation of urinary exosomes: PEG precipitation method was used to separate exosomes. 15-20ml of urine supernatant, 3000g, centrifuge at 4 degrees for 15min, take the supernatant into another new centrifuge tube, add PEG8000 wi...
Embodiment 2
[0085] Four miRNAs diagnostic performance evaluation of embodiment 2
[0086]The diagnostic ability of four serum miRNAs to distinguish bladder cancer patients from controls was compared by ROC curve analysis. The areas under the ROC curve (AUC) of the four miRNAs miR-423-5p, miR-203-3p, miR-21-5p, and miR-30b-5p were: 0.880 (95% CI 0.836-0.917), 0.703 (95% CI 0.645-0.757), 0.799 (95% CI 0.746-0.845), 0.850 (95% CI 0.802-0.890), see figure 2 . miR-423-5p has a sensitivity of 69.9% and a specificity of 92.8%; miR-203-3p has a sensitivity of 63.7% and a specificity of 76.0%; miR-21-5p has a sensitivity of 65.8% and a specificity of 91.2%; miR-30b-5p has a sensitivity of 69.9% , specificity 86.4%. For more accurate prediction of bladder cancer, a combination of biomarkers is a better choice. The joint diagnosis model was established by logistic regression and neuron algorithm. The combined sensitivity and specificity of 4 miRNA markers (miR-423-5p, miR-203-3p, miR-21-5p, mi...
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