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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Cancer Molecular Targets and Therapeutics
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1433033

EGFR and MUC1 as dual-TAA drug targets for lung cancer and colorectal cancer

Provisionally accepted
Ruifang Sun Ruifang Sun 1Qianqian Yu Qianqian Yu 1Chen Lin Chen Lin 2Long Zhang Long Zhang 2Yilu Zhou Yilu Zhou 2*Runzhe Sun Runzhe Sun 3*Yongsheng Meng Yongsheng Meng 1*Ningning Yao Ningning Yao 4Haizhen Wang Haizhen Wang 1*Feilin Cao Feilin Cao 1*Meilin Liu Meilin Liu 1*Cheng Liao Cheng Liao 2*Jinfeng Ma Jinfeng Ma 4*
  • 1 Department of Tumor Biobank, Shanxi Province Cancer Hospital, Taiyuan, China
  • 2 Shanghai Shengdi Medicine Co. Ltd., Shanghai, China
  • 3 School of Basic Medicine, Shanxi Medical University, Taiyuan, China
  • 4 Department of Radiobiology, Shanxi Province Cancer Hospital, Taiyuan, China

The final, formatted version of the article will be published soon.

    Background: Epidermal growth factor receptor (EGFR) is a key protein in cellular signaling that is overexpressed in many human cancers, making it a compelling therapeutic target. On-target severe skin toxicity has limited its clinical application.Dual-targeting therapy represents a novel approach to overcome the challenges of EGFR-targeted therapies.: A single-cell tumor-normal RNA transcriptomic meta-atlas of lung adenocarcinoma (LUAD) and normal lung tissues was constructed from published data. Tumor associated antigens (TAAs) were screened from the genes which were expressed on cell surface and could distinguish cancer cells from normal cells. Expression of MUC1 and EGFR in tumors and normal tissues was detected by immunohistochemistry (IHC), bulk transcriptomic and single-cell transcriptomic analyses. RNA cut-off values were calculated using paired analysis of RNA sequencing and IHC in patient-derived tumor xenograft samples. They were used to estimate the abundance of EGFR-and MUC-positive subjects in The Cancer Genome Atlas Program (TCGA) database. Survival analysis of EGFR and MUC1 expression was carried out using the transcription and clinical data from TCGA. Results: A candidate TAA target, transmembrane glycoprotein mucin 1 (MUC1), showed strong expression in cancer cells and low expression in normal cells. Singlecell analysis suggested EGFR and MUC1 together had better tumor specificity than the combination of EGFR with other drug targets. IHC data confirmed that EGFR and MUC1 were highly expressed on LUAD and colorectal cancer (CRC) clinical samples but not on various normal tissues. Notably, co-expression of EGFR and MUC1 was observed in 98.4% (n=64) of patients with LUAD and in 91.6% (n=83) of patients with CRC. It was estimated that EGFR and MUC1 were expressed in 97.5% of LUAD samples in the TCGA dataset. Besides, high expression of EGFR and MUC1 was significantly associated with poor prognosis of LUAD and CRC patients.Conclusions: Single-cell RNA, bulk RNA and IHC data demonstrated the high expression levels and co-expression patterns of EGFR and MUC1 in tumors but not normal tissues. Therefore, it is a promising dual-TAA strategy combination for therapeutic targeting which could enhance on-tumor efficacy while reducing offtumor toxicity.

    Keywords: EGFR, MUC1, taa, LUAD, CRC

    Received: 15 May 2024; Accepted: 23 Oct 2024.

    Copyright: © 2024 Sun, Yu, Lin, Zhang, Zhou, Sun, Meng, Yao, Wang, Cao, Liu, Liao and Ma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yilu Zhou, Shanghai Shengdi Medicine Co. Ltd., Shanghai, China
    Runzhe Sun, School of Basic Medicine, Shanxi Medical University, Taiyuan, China
    Yongsheng Meng, Department of Tumor Biobank, Shanxi Province Cancer Hospital, Taiyuan, China
    Haizhen Wang, Department of Tumor Biobank, Shanxi Province Cancer Hospital, Taiyuan, China
    Feilin Cao, Department of Tumor Biobank, Shanxi Province Cancer Hospital, Taiyuan, China
    Meilin Liu, Department of Tumor Biobank, Shanxi Province Cancer Hospital, Taiyuan, China
    Cheng Liao, Shanghai Shengdi Medicine Co. Ltd., Shanghai, China
    Jinfeng Ma, Department of Radiobiology, Shanxi Province Cancer Hospital, Taiyuan, China

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