Method and markers for assessing the risk of having colorectal cancer
A colorectal cancer, risk technology, applied in biochemical equipment and methods, microbial determination/examination, DNA/RNA fragments, etc., can solve the problems of low accuracy, imprecise results, and low accuracy
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experiment example 1
[0072] Experimental Example 1: This assessment method can be used to assess the risk of colorectal cancer in human individuals
[0073] Evaluation subjects and stool samples
[0074] In this experiment example, stool samples from 144 colorectal cancer patients and 390 healthy human individuals were collected from Chang Gung Memorial Hospital in Taiwan, and the expression levels of various microRNAs as shown in Table 1 were analyzed. Cancers were judged according to the 7th edition of the 2009 American Joint Committee on Cancer staging criteria (2009 American Joint Committee on Cancer staging criteria, 7th edition), and their clinicopathological factors were recorded, including age, sex and the results of the immune fecal occult blood test (iFOBT). For the collection of samples, the stool samples donated by colorectal cancer patients were collected. The stool samples were the remaining samples left after the conventional iFOBT test, and the patients had not received any treatme...
experiment example 2
[0091] Experimental Example 2: Comparison of the evaluation method with the immune fecal occult blood test
[0092] In Experimental Example 2, 390 healthy human individuals collected in Experimental Example 1 and 144 stool specimens diagnosed with colorectal cancer were collected, and according to the sampling method and expression measurement method of Experimental Example 1, the stool samples were detected The concentration (expression level) of the first microRNA and the second microRNA as listed in Table 1 in the specimen.
[0093] Then, according to Table 2, the combination ratio of the first microRNA and the second microRNA, and the individual represented by each stool sample source is a healthy control group or a patient with colorectal cancer to draw receiver operating characteristics with PASWStatistics18.0 software Curve (Receiveroperatingcharacteristiccurve, ROCcurve) and calculate the area under the receiver operating characteristic curve (AreaUndertheROCcurve, AUC...
experiment example 3
[0103] Experimental Example 3: Comparison of this evaluation method with the evaluation using a single microRNA
[0104] In Experimental Example 3, the experimental process and data calculation and arrangement can refer to the aforementioned Experimental Example 2. In this experimental example, compared to using the expression level of a single microRNA (the first microRNA or the second microRNA) to evaluate, using the first microRNA and the second microRNA shown in Table 2 The ratio of the expression amount of the nucleic acid will have a relatively good effect. For example, as shown in Table 7, miR-223 / miR-221, miR-223 / miR-222, miR-223 / miR-21, miR-223 / miR-93, miR-25 / miR-221 , miR-25 / miR-222, miR-25 / miR-21, miR-25 / miR-93, miR-25 / miR-141, miR-25 / miR-200c, and miR-25 / miR-191 The AUC value (diagnostic accuracy) was greater than the first microRNA (miR-223, miR-25) or the second microRNA (miR-221, miR-222, miR-21, miR-93, The AUC value (diagnostic accuracy) of miR-141, miR-200...
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