Blood serum marker related to human breast cancer and application of blood serum marker
A serum marker, breast cancer technology, applied in the field of biomedicine to achieve the effects of high sensitivity, low cost, and convenient sample collection
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Embodiment 1
[0054] Example 1 Expression of serum miR-598-3p in breast cancer patients and healthy people
[0055] 1. Case information
[0056] Sera from 100 cases of breast cancer patients and 40 cases of healthy people in Taizhou Central Hospital from January 2013 to September 2014 were collected according to the random principle. The cases of breast cancer patients have complete clinicopathological data. The pathology of all cases is diagnosed by two experienced pathologists according to the WHO classification standard. The clinical stage is in accordance with the TNM stage of the American Cancer Society. None of the cases had undergone radiotherapy, chemotherapy and other treatments. The clinicopathological data of breast cancer are shown in Table 1.
[0057] Table 1 Clinicopathological data of 100 breast cancer patients
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[0060] 2. Serum collection:
[0061] Let the whole blood stand at room temperature for 30 minutes, centrifuge at 1900×g at 4°C for 10 min...
Embodiment 2
[0084] Example 2 Correlation analysis between miR-598-3p and breast cancer
[0085] According to the level of serum miR-598-3p measured in Example 1 in breast cancer samples, the correlation between miR-598-3p and breast cancer patients was analyzed using univariate Logistic regression, and the results are shown in Table 4, indicating that miR- 598-3p is strongly associated with breast cancer patients.
[0086] Table 4 Single factor Logistic regression analysis results
[0087] miRNA
[0088] According to the 2 obtained in Example 1 ﹣ΔΔCt Calculate the relative expression of miR-598-3p in serum samples, use spss software to do regression analysis, and get the formula: Logit(P)=4.315-5.719×miR-598-3p, the detected miR-598-3p The relative expression level is brought into the above equation. If the calculated value is higher than 1.175, it is diagnosed as breast cancer; if the calculated value is lower than 1.175, it is judged as non-breast cancer.
Embodiment 3
[0089] Example 3 Evaluation of the diagnostic effect of miR-598 on breast cancer patients
[0090] 1. ROC curve creation:
[0091] (1) When the two indicators of miR-598 and CA153 are combined to distinguish the breast cancer group from the healthy group, the Binary Logistic method is used to perform Logistic stepwise regression analysis, and the regression equation of miR-598-3p and CA153 is obtained: P=1 / [ 1+e -(-5.793×miR-598-3p+0.165×CA153+2.703) ], the relative expression level of miR-598-3p and the content of CA153 were substituted into the equation to obtain the predicted probability P of joint detection, and ROC curve analysis was performed with the new fitting variable P.
[0092] (2) When using miR-598-3p or CA153 alone to distinguish the breast cancer group from the healthy group, measure the relative expression of miR-598-3 or the content of CA153, and use the method (1) to prepare the ROC curve.
[0093] 2. Results:
[0094] When using miR-598-3p to distinguish...
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