Clinical Research Directory

ESCC Molecular Subtypes Based on Multidimensional Features of p53 and Their Clinical Significance

Sponsor: Ling Zhiqiang

Summary

Collect 300 esophageal cancer tissue specimens, including cancer tissue and serum, from a biological sample bank. Collect clinical information on esophageal cancer, including gender, age, time of diagnosis, time of death, treatment information, TNM staging, tumor size, location, etc. DNA sequencing was performed on 300 collected esophageal cancer samples, divided into mutant and wild-type types. Perform immunohistochemistry on tissue slices and observe the expression of P53 mutant protein. ELISA was used to study the expression of serum anti-P53 autoantibodies. Process these data and use them to classify subtypes of esophageal cancer. Associate each subtype with clinical information, analyze the characteristics of each subtype, such as the multidimensional features of P53 and treatment correlation analysis, and the correlation between P53 multidimensional features and survival.

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