Kit for identifying colorectal cancer and application thereof
A colorectal cancer and kit technology, applied in the field of kits for the identification of colorectal cancer, can solve problems such as pain, high physical fitness requirements, incomplete and accurate judgment results, etc., and achieve the effect of high sensitivity
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Embodiment 1
[0076] The accuracy of SVM algorithm (support vector machine) is higher than that of manual interpretation
[0077] The application of detecting the abundance of 9 kinds of intestinal bacteria in feces and the results of fecal occult blood in the risk assessment and diagnosis of colorectal cancer.
[0078] 1 Materials and methods
[0079] 1.1 Sample source
[0080] Two fecal samples from patients with colorectal cancer in the Anorectal Department of Liaoning Cancer Hospital from January 1, 2017 to June 30, 2018 were collected through cooperative relationship, which were marked as sample 1 and sample 2 respectively.
[0081] 1.2 Specimen extraction
[0082] Use the feces collection box, tear off the adhesive, put it in a plastic bag; paste the box on the toilet, and excrete the feces into the feces collection box; take a sample (about 5 spoons of feces) into the feces storage tube with a sampling spoon, and then tighten the tube firmly Cover; put the feces preservation tube ...
Embodiment 2
[0129] Example 2: Determining the optimal combination of indicator bacteria using the stool sample support vector machine method
[0130] 1. Treat the feces
[0131] The specific experimental steps in this example are the same as those in Example 1. The feces of healthy people and patients with colorectal cancer were collected, the bacterial genome was extracted, PCR was performed with 16s rRNA primers, and the values were recorded by the calculation method of the threshold line (Ct) of the amplification curve. Also perform fecal occult blood testing.
[0132] 2. Standardize the results of manure disposal
[0133] Standardized input reference set data file format, the first column is the sample number, the second to tenth columns are indicator bacteria 1, indicator bacteria 2, indicator bacteria 3, indicator bacteria 4, indicator bacteria 5, indicator bacteria 6, indicator bacteria 7 , ΔCt values of indicator bacteria 8 and indicator bacteria 9, the eleventh to nineteen...
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