tRNA related lung adenocarcinoma prognosis model and application thereof
A lung adenocarcinoma and prognosis technology, applied in the field of biomedical detection, can solve the problem of unclear relationship between tRNA expression dysregulation and lung adenocarcinoma
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Embodiment 1
[0049] The steps of the lung adenocarcinoma and normal lung tissue tRNA quantification include:
[0050] Step 1: Determine the research object; the 50 pairs of lung adenocarcinoma tissue and adjacent normal lung tissue samples were from patients undergoing thoracic surgery, and the diagnosis of the patient was based on the final paraffin section diagnosis. Cancer, the patient's basic information and prognosis information is complete;
[0051] Step 2: The tissue RNA extraction steps are the same as the routine;
[0052] Step 3: demethylation of RNA; the steps are:
[0053] 1. Select qualified samples for demethylation treatment;
[0054] 2. Configure reagents; prepare the following system:
[0055]
[0056] 3. Demethylation conditions need to be met: 37°C constant temperature water bath for 100 minutes; methylation termination conditions: add 160 μL Nuclease-free water and 40 μL Stop buffer (5×), and mix well;
[0057] Step 4: RNA precipitation; use the conventional RNA ...
Embodiment 2
[0080] The correlation between the tRNA and the prognosis of lung adenocarcinoma includes collecting the clinicopathological characteristics of all patients and the recurrence-free survival and overall survival of the patients, and comparing the relative expression of tRNA in the tumor and corresponding adjacent tissues with the prognosis of the patients Analysis, draw the survival curves of RFS and CSS by Kaplan-Meier method, for each survival curve, carry out log rank test, use Cox PH regression model to carry out univariate and multivariate analysis, statistical result with 95% confidence interval (CI) indicated, all tests were two-tailed and significance was set at p<0.05. R version 3.2.5 software.
[0081] Results: To construct a more precise prognostic model, we first performed a prognostic-associated univariate COX PH regression, and three tRNAs: tRNA-CysTT-1, mt-tRNA-Ser-GCT, and tRNA-Tyr-ATA were associated with tumor-associated prognosis CSS is associated, therefore...
Embodiment 3
[0084] The tRNA-related prognostic score model was established including univariate and multivariate Cox PH regression, showing that the tRNA-based prognostic score was an independent predictor of CSS in patients with lung adenocarcinoma, while clinicopathological factors such as gender, tumor differentiation, and vascular invasion were also independent predictors factor, and to determine the importance of tRNA-based prognostic scores in survival prediction, we developed two multivariate models, one incorporating the prognostic score and important clinicopathological variables (combined model), and the other including only important clinicopathological variables variable (single model), we performed ROC analysis and calculated AUC in both models ( image 3 A and 3B), the results show that the joint model including the tRNA-based prognostic score has better predictive performance than the single model (AUC of the joint model: 0.829, AUC of the single model: 0.809), and the AIC o...
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