A small molecule marker for predicting brain metastasis of lung cancer and its application in diagnosis
A technology for brain metastases and lung cancer, applied in the field of precise diagnosis, can solve problems such as difficulty in obtaining materials, inability to meet early diagnosis of lung cancer brain metastases, and difficulty in detecting small lesions, and achieve high clinical value.
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Embodiment 1
[0019] Example 1: Accuracy of Small Molecular Markers in Predicting Brain Metastasis of Lung Cancer
[0020] 1. Materials and methods
[0021] 1. Research object
[0022] The cases of lung cancer brain metastases group and lung cancer non-brain metastases group were all patients hospitalized in Nanjing Drum Tower Hospital from March 2015 to December 2016. There were 68 cases in the lung cancer brain metastases group, including 36 males, 32 females, and aged 34. -69 years old, with an average age of 41 years; there were 100 cases in the lung cancer non-brain metastasis group, including 62 males and 38 females, aged 35-70, with an average age of 43 years. All cases were confirmed clinically and pathologically. Cases in lung cancer brain metastases group and lung cancer non-brain metastases group were randomly divided into two groups, one for training set and the other for validation set. The grouping results are as follows.
[0023]
[0024] 2. Instruments and reagents
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Embodiment 2
[0051] Embodiment 2: Diagnostic kit
[0052] A diagnostic kit for early prediction of brain metastases from lung cancer, including lysophosphatidylcholine (18:0), 3-hydroxypropionic acid, dihydrocholesterol and L-2-chlorophenylalanine, lysophosphatidylcholine Base (18:0), 3-hydroxypropionic acid, and dihydrocholesterol were used as reference substances to qualitatively locate the target compound in the serum to be tested, and L-2-chlorophenylalanine was used as an internal standard to add to the serum sample to be tested for Relative quantification of 3-hydroxypropionic acid, lysophosphatidylcholine (18:0), and dihydrocholesterol.
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