Identification of biomarkers and potential drug targets for esophageal cancer: a Mendelian randomization study.

ABSTRACT: Esophageal cancer (EC) is a common and deadly malignancy of the digestive system. Currently, effective treatments for EC are limited and patient prognosis remains poor. In this study, we utilized Mendelian Randomization (MR) to identify potential drug targets for EC by analyzing proteins linked to the disease risk. A total of 734 plasma proteins and 4,479 druggable genes were obtained from recent studies, and two-sample MR analyses were conducted to investigate causal relationships between these proteins and EC. The cis-pQTL data of the proteins was analyzed after filtering. The inverse variance weighted (IVW) method was the primary analytical approach in MR analysis. Steiger filtering, heterogeneity and pleiotropy tests, Summary-data-based Mendelian Randomization (SMR) analysis, and Bayes

SUBMITTER: Li C 

PROVIDER: S-EPMC11891310 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature