Method for screening malignant ovarian tumor markers from blood serum metabolic profiling
A metabolic profile and ovarian tumor technology, applied in the field of screening of gynecological malignant ovarian tumor serum small molecule metabolic marker profiles, can solve the problems of easy introduction of errors in serum and difficulty in modeling, achieving simple process, saving analysis time, and resolution. high effect
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Embodiment 1
[0027] 1. Serum collection
[0028] Before the collection, the included researchers signed the informed consent.
[0029] Inclusion criteria for malignant ovarian tumors: diagnosed as malignant ovarian epithelial tumors, the specific pathological type and stage are not limited. And did not receive any treatment related to the disease before collecting the specimen.
[0030] Inclusion criteria for the healthy control group: normal physical examination population (female between 50-70 years old). Physical examination of healthy people.
[0031]The collection time was from 6:00 to 8:00 in the morning, and the fasting venous blood was drawn. The body temperature of the subjects was between 36°C and 37.5°C, the vital signs were stable, and they were not in the acute stage of various diseases. The collected blood was placed in a negative pressure tube, and the supernatant was obtained after centrifugation for 15 minutes. Serum was stored in an ultra-low temperature freezer (-80°...
Embodiment 2
[0053] In order to illustrate the repeatability of the screening method described in this patent, the applicant performed the same sample analysis and data processing process as model 1 on another 14 cases of malignant ovarian tumor samples and 14 cases of healthy control samples, and established another PLSDA model. is called model 2.
[0054] The difference from Example 1 is that the relevant data of Model 2 are: A=4, R 2 X=0.677, R 2 Y=0.939, Q 2 Y=0.756. Model 2 can also distinguish between malignant ovarian tumors and healthy control samples. Through model 2, among the 10 variables screened out according to the variable importance factors, 8 variables are consistent with Table 1. Using the method described in this patent can screen out basically consistent markers for different groups of people, indicating that the method is indeed stable, repeatable, and not easily affected by the tested population, and is suitable for clinical application.
[0055] Using the 10 mar...
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