Lung adenocarcinoma diagnostic composition and application thereof
A composition and technology of lung adenocarcinoma, applied in the field of disease diagnosis, can solve the problem that the diagnosis of lung cancer cannot meet the clinical needs
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Embodiment 1
[0050] Example 1 Detection of differentially expressed genes in lung adenocarcinoma tissue
[0051] 1. Collection of samples
[0052] 59 lung adenocarcinoma tissues and 59 adjacent tissues were collected, and all samples were placed in cryopreservation tubes with RNA protection solution immediately after isolation, and stored in a -80°C refrigerator within 30 minutes. The entire operation and storage The process follows the enzyme-free principle.
[0053] 2. Preparation of RNA samples
[0054] Total RNA was extracted from lung adenocarcinoma tissues and paracancerous tissues by TRIzol RNA extraction method.
[0055] (1) Pre-cool the mortar with liquid nitrogen, put the tissue sample into the mortar with liquid nitrogen, and fully grind the tissue sample into powder under liquid nitrogen;
[0056] (2) Transfer the sample powder into a 2.0ml EP tube filled with TRIzol lysate, (50mg of tissue sample can be added to each ml of lysate), shake vigorously, mix well, and lay flat a...
Embodiment 2
[0095] Example 2 Candidate gene ROC curve analysis
[0096] 1. ROC curve analysis
[0097] Use the pROC package of R language to analyze the receiver operating characteristics of PLPP4, HHIPL2, B3GNT6, INHA, ECEL1 or ALAS2, calculate the binomial exact confidence space, draw the ROC curve, and calculate the area under the curve.
[0098] 2. Results
[0099] As shown in Table 1, compared with the AUC values of PLPP4, HHIPL2, B3GNT6, INHA or ECEL1 single genes, the AUC values of any combination among PLPP4, HHIPL2, B3GNT6, INHA or ECEL1 genes were increased, suggesting that the above four At least two of the genes can be used in combination for the diagnosis of lung adenocarcinoma.
[0100] Table 1 Combined AUC values of candidate genes
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