Application of biological marker to diagnosis of lung adenocarcinoma
A technology of biomarker and lung adenocarcinoma, applied in the field of disease diagnosis, can solve problems such as insufficiency and achieve the effect of improving survival rate
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Embodiment 1
[0040] Example 1 QPCR verification of related differentially expressed genes
[0041] 1. Collection of samples
[0042] 59 cases of lung adenocarcinoma tissue 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.
[0043] 2. Preparation of RNA samples
[0044] Total RNA was extracted from lung adenocarcinoma tissues and paracancerous tissues by TRIzol RNA extraction method.
[0045] (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;
[0046] (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 at room...
Embodiment 2
[0081] Example 2 Candidate gene ROC curve analysis
[0082] 1. ROC curve analysis
[0083] Use the pROC package of R language to analyze the receiver operating characteristics of S100P, EEF1A2, MUC3A or CSF3, calculate the binomial exact confidence space, draw the ROC curve, and calculate the area under the curve.
[0084] 2. Results
[0085] The results are shown in Table 1. The AUC values of the area under the ROC curve of S100P, EEF1A2, and MUC3A in patients with lung adenocarcinoma were 0.789428, 0.871876, and 0.825768, respectively. The combination of S100P, EEF1A2 and MUC3A has the highest AUC value of 0.955473, indicating that the combined diagnosis of any two or three of these three genes has higher accuracy than single diagnosis. In summary, the combination of two or three of S100P, EEF1A2, and MUC3A can be used for early diagnosis of lung adenocarcinoma.
[0086] Table 1 AUC values of candidate genes combined application
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