Fig. 2.

Identification of cancer-associated EpCAM mutations. A Publicly available datasets, including cBioPortal, AACR-GENIE, and COSMIC, were analyzed to identify mutations across various cancer cohorts. B Mutation frequency was calculated as the number of EpCAM mutations per 1000 samples across the combined datasets. C Over 200 new missense mutations were identified within the EpCAM gene. D The distribution of mutations by base changes and the overall mutation types were characterized