Thyroid cancer risk prediction model using m6A RNA methylation regulators: integrated bioinformatics analysis and histological validation

Wei Zhou; Junchao Lin; Jinqiang Liu; Rui Zhang; Aqiang Fan; Qibin Xie; Liu Hong; Daiming Fan

doi:doi:10.18632/aging.204525

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Research Paper Volume 15, Issue 3 pp 846—865

Thyroid cancer risk prediction model using m6A RNA methylation regulators: integrated bioinformatics analysis and histological validation

Figure 2. Relationship between m6A related genes and prognosis of thyroid cancer. (A) In the survival curve, the abscissa is the survival time (years) and the ordinate is the survival rate. (B) The m6A prognosis network shows the expression and interaction of 23 m6A regulators in thyroid cancer. (C) Human protein Atlas (https://www.proteinatlas.org/) is used to analyze the protein expression of some m6A molecules related to prognosis in thyroid cancer tissue.