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Application of m6a key genes and risk model in predicting the prognosis of adrenocortical carcinoma

An adrenal cortex and gene technology, applied in the field of tumor diagnostic markers, can solve the problem of adrenal cortex adenocarcinoma without expansion

Active Publication Date: 2022-06-07
THE THIRD XIANGYA HOSPITAL OF CENT SOUTH UNIV
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  • Application Information

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Problems solved by technology

Currently, none of these studies has been extended to the field of adrenocortical adenocarcinoma

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  • Application of m6a key genes and risk model in predicting the prognosis of adrenocortical carcinoma
  • Application of m6a key genes and risk model in predicting the prognosis of adrenocortical carcinoma
  • Application of m6a key genes and risk model in predicting the prognosis of adrenocortical carcinoma

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Embodiment Construction

[0024] The present invention will be further explained and described below in conjunction with the accompanying drawings and experimental data

[0025] 1. Data processing of the ACC dataset

[0026] Public RNA-sequencing, mutation and full clinical information for ACC is available for download from TCGA and GEO. Patients without survival information were excluded from further evaluation. RNA-sequencing data (FPKM values) and somatic mutation data for TCGA-ACC (The Cancer Genome Atlas - Adrenocortical Adenocarcinoma) can be downloaded and collected from Genomic Data Commons (GDC; https: / / portal.gdc.cancer.gov / ) as a training set for further analysis. A total of six eligible data from GEO (GSE10927, GSE19750, GSE33371, GSE76019, GSE76021 and GSE49280) were downloaded, and background adjustment and quantile normalization were performed using the averaging method of the affy and simpleaffy packages.

[0027] , m6A gene clustering into three modules with different clinical outco...

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Abstract

The research of the present invention shows that m6A genes can form modules with each other to directly affect the prognosis of adrenocortical carcinoma, and can regulate immune scores and many tumor immune infiltrating cells (macrophages, dendritic cells, natural killer cells, etc.) The ratio indirectly affects the tumor microenvironment. Therefore, we selected key m6A molecules, and established and constructed 8-gene signatures (including METTL14, ZC3H13, FTO, YTHDF1, YTHDF3, HNRNPA2B1, LRPPRC, ELAVL1) through the LASSO Cox regression model. The model has better clinical predictive value than clinical staging, with ROC as high as 0.9, and has the same results in multiple validation groups. Therefore, this model has potential clinical value in individualized therapeutic agents for adrenocortical carcinoma.

Description

technical field [0001] The invention belongs to tumor diagnostic markers, and specifically relates to a combined diagnostic marker for predicting the prognosis of adrenocortical adenocarcinoma. Background technique [0002] Adrenocortical adenocarcinoma (ACC) is a rare endocrine malignancy with an annual incidence of 0.7-2.0 cases per million. Although very rare, the 5-year survival rate is less than 35%. Currently, the only treatment for ACC is surgery. Even with complete resection, local recurrence rates are usually between 19-34%. Chemotherapy and radiation therapy can reduce recurrence to some extent but show only limited therapeutic effect. At present, TNM staging cannot predict well for the same staging heterogeneous outcomes and poor survival. Therefore, it is urgent to reveal the genomic properties of ACC. It is critical for developing effective treatments and predicting individual survival. [0003] N6-methyladenosine (m6A), first discovered in the 1970s, is t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886G01N33/68G01N33/574G01N33/573
CPCC12Q1/6886G01N33/68G01N33/57407G01N33/57484G01N33/573C12Q2600/158C12Q2600/118G01N2333/91017G01N2333/47
Inventor 曹科金一王占旺何东
Owner THE THIRD XIANGYA HOSPITAL OF CENT SOUTH UNIV
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