Kit for colorectal cancer detection and its application
A colorectal cancer and kit technology, applied in the fields of biotechnology and medicine, can solve the problem that the sensitivity cannot meet the clinical needs, and achieve the effect of improving the 5-year survival rate, high sensitivity, and reducing false negatives
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Embodiment 1
[0083] A kit for detecting colorectal cancer of the present invention, comprising a primer composition, a probe composition and a blocking sequence composition, 2x 360 Master Mix, tetramethylammonium chloride (TMAC), glycerol and deionized water.
[0084] The components of the primer composition are listed in Table 1.
[0085] Table 1: Primer compositions of Example 1
[0086] BS-S9-F 5'-TTTGTATTGTAGGAGCGCGGGC-3' (SEQ ID NO.1) BS-S9-R 5'-CAACGACGAAAAAACGCCCCCG-3' (SEQ ID NO.2) BS-N4-F 5'-GTTTCGCGTCGCGGTTTTCGTTC-3' (SEQ ID NO.3) BS-N4-R 5'-CGTAACTTCCGCCTTCTACGCG-3' (SEQ ID NO.4) BS-SDC2-F 5'-AGAAATTAATAAGTGAGAGGGCGTCGC-3' (SEQ ID NO.5) BS-SDC2-R 5'-AACGCTCGCTTCCTCCTCCTACG-3' (SEQ ID NO.6) BS-ACT-F 5'-GAAAGGGTGTAGTTTTGGGAGGTTAG-3' (SEQ ID NO.7) BS-ACT-R 5'-CCCAAAACCAACCACAAAAAAAAT-3' (SEQ ID NO.8)
[0087] In Table 1, the primer pair BS-S9-F and BS-S9-R are used to amplify the SEPT9 gene; the primer pair BS-N4-F an...
Embodiment 2
[0098] An application of the kit of Example 1 in the detection of colorectal cancer, the application method comprising the following steps:
[0099] Sampling: Collect 5-8g of stool samples and put them into 15mL of stool sample protection solution. The components of the stool sample protection solution are listed in Table 4.
[0100] Table 4: Component list of stool sample protection solution
[0101] components concentration tris-HCl 0.5M Guanidine isothiocyanate 1.5M EDTA 10mM Sodium dodecyl sulfate SDS 0.2% (m / v) Triton X-100 1% (v / v) Tween 20 1% (v / v) glycerin 5% (v / v)
[0102] (2) Extraction: Extraction was carried out using Jinmag Fecal Genome Extraction Kit (magnetic bead method) from Renhe Future Biotechnology (Changsha) Co., Ltd. The specific steps are as follows:
[0103] 2.1. Fully oscillate and mix the stool sample (about 20mL) to a homogenized state, centrifuge at 3000g for 15min, transfer 10mL of the...
Embodiment 3
[0149] Investigate the sensitivity, specificity and accuracy of the method of embodiment 2. Based on the prediction model in Example 2, predictions were made on 90 newly-inspected samples, and compared with the actual values, a sample confusion matrix was obtained. Table 7 below is the sample matrix.
[0150] Table 7: Sample matrix table
[0151]
[0152]
[0153] Calculate the sensitivity, specificity and accuracy of the prediction model of the present application according to the predicted value and actual value in Table 7.
[0154] Wherein, sensitivity=true positive / (true positive+false negative)×100%;
[0155] Specificity = true negative / (true negative + false positive) × 100%;
[0156] Accuracy rate = (true positive + true negative) / total number of detections × 100%.
[0157] It can be seen from the results in Table 7 that the prediction model of Example 2 has a sensitivity of 0.8857; a specificity of 0.8909; an accuracy of 0.8889; and a Kappa of 0.7686.
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