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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

Inactive Publication Date: 2019-02-15
HUADONG HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] As far as the applicant of the present invention knows, the relationship between tRNA and the prognosis of patients with lung adenocarcinoma has not been reported by researchers. So far, the relationship between tRNA expression disorders and lung adenocarcinoma is still unclear. The applicant has studied the role of tRNA in The expression profiles in lung adenocarcinoma and corresponding paracancerous tissues screened out tRNA molecules associated with the prognosis of lung adenocarcinoma patients, and further expanded the sample detection, indicating that tRNA-CysTT-1, mt-tRNA-Ser-GCT and tRNA- Tyr-ATA is associated with tumor-related prognosis CSS, and constructed the first tRNA-related lung adenocarcinoma prognostic model. tRNA-related research is currently an emerging field. We hope that this prognostic model can be used to guide individualized treatment strategies for clinical lung adenocarcinoma , and according to the relevant tRNA molecules in the prognostic model, further develop related kits for the diagnosis, treatment and prognosis of lung adenocarcinoma

Method used

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  • tRNA related lung adenocarcinoma prognosis model and application thereof
  • tRNA related lung adenocarcinoma prognosis model and application thereof
  • tRNA related lung adenocarcinoma prognosis model and application thereof

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Experimental program
Comparison scheme
Effect test

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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Abstract

The invention belongs to the technical field of biomedical testing, and particularly relates to a tRNA related lung adenocarcinoma prognosis model and application of the tRNA related lung adenocarcinoma prognosis model, the tRNA related lung adenocarcinoma prognosis model and the application of the tRNA related lung adenocarcinoma prognosis model comprise providing the application of detecting theexpression level of tRNA in a tissue to the prognosis of the adenocarcinoma of lung, the application is finished through the following steps: step 1, quantifying the tRNA of the adenocarcinoma of lung and the normal lung tissue; step 2, establishing correlation between tRNA and the adenocarcinoma of lung; and step 3, establishing a tRNA related prognosis scoring model. 50 pairs of adenocarcinomaof lung and the corresponding tumor adjacent tissue are screened through a qPCR (Polymerase Chain Reaction) chip, and the quantitative expression condition of the tRNA of the corresponding tissue is disclosed. The invention aims at screening a specific tRNA molecule related to the prognosis of a patient suffering from the adenocarcinoma of lung, and provides the tRNA prognosis model for diagnosingand treating the adenocarcinoma of lung; another purpose of the invention is to provide the application of the specific tRNA combination to the preparation of a kit for predicating the prognosis of the adenocarcinoma of lung, and the invention provides the application of the prognosis model to the prognosis of the adenocarcinoma of lung and a related kit to the diagnosis and the prognosis of theadenocarcinoma of lung.

Description

technical field [0001] The invention belongs to the technical field of biomedical detection, and in particular relates to a tRNA-related lung adenocarcinoma prognosis model and its application. Background technique [0002] According to the latest epidemiological survey data, lung cancer is one of the malignant tumors with the highest morbidity and tumor-related mortality, and the most common pathological type is lung adenocarcinoma. In clinical work, TNM staging is the most commonly used lung cancer The staging method is used to guide clinical treatment and evaluate prognosis, but it is worth noting that in clinical work, there are significant differences in the postoperative survival rate and recurrence-free survival rate of lung adenocarcinoma patients even in the same period. In recent years, with the With the rapid development of sequencing technology, some researchers have found that mutations in driver genes and molecular pathological subtypes greatly affect the progn...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886C12Q1/6851
CPCC12Q1/6851C12Q1/6886C12Q2600/118C12Q2600/158C12Q2531/113C12Q2537/165C12Q2521/107
Inventor 匡牧宇孙艺华张辉标郑迪凡周子琅李多邓超
Owner HUADONG HOSPITAL
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