Despite advances in the diagnosis and treatment of hepatocellular carcinoma (HCC), there are no tumor-selective agents that are clinically approved in the US for this disease. Here, we aimed to identify and validate molecules that are overexpressed on HCC plasma membrane compared to normal tissues, which could be facilitate the design, engineering, and testing of tumor-selective imaging and therapeutic agents. We analyzed next-generation sequencing (NGS) public datasets (TCGA and TIGER-LC) and NCI single cell RNA-sequencing datasets to identify overexpressed plasma membrane molecules and aimed to validate these targets using immunohistochemical staining (IHC) of patient tissue microarrays (TMAs), and flow cytometry using liver cancer cell lines (Huh7, HepG2, and Hep3B). NGS data identified GPC3, EGFR, MET, MUC13, and ROBO1 molecules overexpressed in HCC relative to non-tumor tissues. In HepG2 cell line, EGFR (p<0.05) and MET (p<0.01) demonstrated statistically significant increased median fluorescence intensity (MFI) relative to controls in flow cytometry. In the Hep3B cell line, MET, GPC3, and EGFR demonstrated an increased MFI relative to the control (p<0.01). No statistically significant difference was observed in Huh7 cell lines. IHC staining of TMAs for GPC3, MET, MUC14, and ROBO1 showed statistically significantly higher staining relative to the normal tumor tissue (p<0.001). We identified and validated plasma membrane molecules overexpressed in HCC compared to non-tumor tissue. Because GPC3, a well-known HCC-specific marker that is expressed in 75% of HCC, was identified using our approach, we are confident that that additional molecules may also represent promising HCC-selective targets. This work could facilitate the design, engineering, and testing of novel precision oncology imaging and therapeutic agents for HCC.
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