Method and markers for assessing the risk of having colorectal cancer
A colorectal cancer, risk technology, applied in the fields of biochemical equipment and methods, microbial determination/examination, DNA/RNA fragments, etc., can solve problems such as low accuracy and invasiveness
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experiment example 1
[0080] Experimental Example 1: This assessment method can be used to assess the risk of colorectal cancer in human individuals
[0081]Evaluation objects and blood samples
[0082] In this experiment example, blood samples from 215 colorectal cancer patients and 173 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. Cancer was 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 its clinicopathological factors were recorded at the same time, including age, sex, and Carcinoembryonic Antigen (CEA) results. For the collection of samples, blood specimens donated by colorectal cancer patients were collected, and the patients had not received any treatment before the blood specimens were collected. For the healthy control group, they were all ob...
experiment example 2
[0097] Experimental Example 2: Comparison of the evaluation method with that of carcinoembryonic antigen examination
[0098] In Experimental Example 2, 173 healthy human individuals and 215 blood specimens diagnosed with colorectal cancer collected in Experimental Example 1 were used to detect the blood The concentration (expression level) of the first microRNA and the second microRNA as listed in Table 1 in the sample.
[0099] Then, according to Table 2, the combination ratio of the first microRNA and the second microRNA, and the individual represented by each blood 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) to obtain the corresponding Youden index as the detection threshold, and the points represent its specific...
experiment example 3
[0109] Experimental Example 3: Comparison of this evaluation method with the evaluation using a single microRNA
[0110] 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-221 / miR-10b, miR-221 / miR-100, miR-221 / miR-29a, miR-221 / miR-126, miR-221 / miR-139 , miR-221 / miR-31 and miR-221 / miR-145 obtained AUC values (diagnostic accuracy) greater than the first microRNA (miR-221) or the second microRNA (miR-10b) alone , miR-100, miR-29a, miR-126, miR-139, miR-31, miR-145) AUC value (diagnostic accuracy). Other combinations of the first microRNA and the s...
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