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Gastric cancer prognosis model construction based on m6A-related IncRNA network and clinical application

A prognostic and gastric cancer technology, applied in the fields of molecular biology and biomedicine, can solve the problems of no reference standard for prognosis judgment, no specific indicators, and inability to adapt to the prognosis judgment of gastric cancer patients, so as to improve sensitivity and accuracy, and improve prognosis , the effect of reducing mortality

Pending Publication Date: 2020-12-08
辽宁省肿瘤医院
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Problems solved by technology

[0004] At present, multiple lncRNAs as biomarkers have no reference standard for predicting the prognosis of gastric cancer, and there are no specific indicators, which are far from meeting the needs of the prognosis of gastric cancer patients

Method used

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  • Gastric cancer prognosis model construction based on m6A-related IncRNA network and clinical application
  • Gastric cancer prognosis model construction based on m6A-related IncRNA network and clinical application
  • Gastric cancer prognosis model construction based on m6A-related IncRNA network and clinical application

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Embodiment Construction

[0030] Describe the present invention in detail below in conjunction with accompanying drawing and embodiment, the following description is only the preferred embodiment of the present invention, it should be pointed out that for those of ordinary skill in the art, without departing from the premise of the method of the present invention, can also make Several improvements and supplements should also be considered as the protection scope of the present invention.

[0031] Example Model construction and clinical application of gastric cancer prognosis based on m6A-related lncRNA network.

[0032] 1. Methods and materials.

[0033] 1. Data collection and related analysis.

[0034] The RNA transcriptome dataset and corresponding clinical information were downloaded from The Cancer Genome Atlas (TCGA, https: / / portal.gdc.cancer.gov / ) database. According to the human genome annotation, genes were divided into protein-coding genes and lncRNAs. The expression of 13 m6A-regulated ge...

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Abstract

The invention belongs to the field of molecular biology and biomedicine, and particularly relates to gastric cancer prognosis model construction based on an m6A-related IncRNA network and clinical application. According to the invention, a relationship between m6A-related lncRNA and a total survival rate of the gastric cancer is analyzed, 11 m6A related lncRNA markers are found, and a prognosis model is constructed to predict the prognosis of the gastric cancer. The model for predicting the prognosis of the gastric cancer contains 11 IncRNAs related to the prognosis of the gastric cancer. Theinvention provides the prediction model constructed on the basis of the m6A-related IncRNA network to predict the prognosis of a gastric cancer patient; the feasibility of the model is verified in multiple data sets; and a reliable method is provided for analyzing the prognosis of the gastric cancer related LncRNA patient. The model provides a plurality of lncRNAs as biomarkers, the sensitivity and accuracy of predicting the prognosis of the gastric cancer are improved, the adverse prognosis risk of the gastric cancer patient is accurately predicted and evaluated, and key monitoring and effective intervention are performed on a high-risk patient, so that a death rate and a local recurrence rate of the gastric cancer patient are reduced, and the prognosis of the patient is improved.

Description

technical field [0001] The invention belongs to the fields of molecular biology and biomedicine, and specifically relates to the model construction and clinical application of gastric cancer prognosis based on m6A-related IncRNA network. Background technique [0002] Gastric cancer is one of the most common malignant tumors, and the death rate of gastric cancer ranks third among all tumors. About 80% of gastric cancer patients are diagnosed at advanced stage, which makes many patients have poor prognosis. Surgery is by far the most suitable treatment for gastric cancer. For patients with recurrent or unresectable advanced gastric cancer, the 5-year mortality rate remains 30% to 50%, and there is no satisfactory treatment. Therefore, it is necessary to explore potential biomarkers of gastric cancer, which can help improve the prognosis of patients. [0003] Long-chain non-coding RNA (LncRNA) refers to a type of RNA with a length greater than 200 bp, which has the function o...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886G16B5/00G16B20/00C12N15/113
CPCC12Q1/6886G16B5/00G16B20/00C12Q2600/118C12Q2600/158C12Q2600/178
Inventor 马斌
Owner 辽宁省肿瘤医院
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